diff --git a/.ipynb_checkpoints/Lung_Cancer_Trends_Realistic-checkpoint.csv b/.ipynb_checkpoints/Lung_Cancer_Trends_Realistic-checkpoint.csv
new file mode 100644
index 0000000..2e7abfb
--- /dev/null
+++ b/.ipynb_checkpoints/Lung_Cancer_Trends_Realistic-checkpoint.csv
@@ -0,0 +1,3001 @@
+Patient_ID,Age,Gender,Smoking_Status,Years_Smoking,Cigarettes_Per_Day,Secondhand_Smoke_Exposure,Occupation_Exposure,Air_Pollution_Level,Family_History,Genetic_Markers_Positive,BMI,Physical_Activity_Level,Alcohol_Consumption,Diet_Quality,Region,Income_Level,Education_Level,Access_to_Healthcare,Screening_Frequency,Chronic_Lung_Disease,Lung_Cancer_Stage,Diagnosis_Year,Survival_Status
+P100000,76,Female,Never,6,37,Low,Diesel Fumes,Low,Yes,No,24.6,Moderate,Moderate,Poor,West,Middle,Tertiary,Good,Regularly,No,Stage II,2008,Alive
+P100001,39,Male,Never,30,39,Low,Silica,Low,Yes,No,17.5,Moderate,Moderate,Average,North,Middle,Primary,Poor,Occasionally,Yes,None,2002,Alive
+P100002,85,Male,Former,47,14,High,Asbestos,Low,Yes,Yes,33.6,High,High,Good,South,High,Tertiary,Average,Regularly,No,Stage II,2007,Deceased
+P100003,45,Female,Current,45,32,Medium,Silica,High,No,No,23.2,Moderate,Moderate,Good,West,Low,Secondary,Average,Never,Yes,None,2011,Alive
+P100004,48,Female,Never,46,26,Medium,Silica,Low,No,Yes,22.9,High,High,Good,North,Low,Tertiary,Average,Regularly,No,None,2016,Alive
+P100005,27,Male,Current,13,28,Low,Silica,High,No,Yes,24.6,Low,Moderate,Poor,East,Middle,Tertiary,Average,Regularly,No,None,2013,Alive
+P100006,46,Female,Current,27,36,Low,Asbestos,High,Yes,No,23.7,Low,High,Good,West,Middle,Primary,Good,Occasionally,Yes,Stage II,2015,Deceased
+P100007,77,Female,Never,42,4,Low,None,Low,Yes,No,16.3,Moderate,High,Poor,East,High,Primary,Good,Regularly,No,Stage III,2018,Alive
+P100008,26,Female,Never,15,28,Medium,Silica,Low,No,No,27.9,Low,None,Poor,South,Middle,Tertiary,Poor,Never,No,None,2003,Alive
+P100009,54,Female,Never,18,31,Medium,Diesel Fumes,Low,Yes,No,20.9,High,None,Good,West,Middle,Secondary,Average,Never,No,None,2002,Alive
+P100010,62,Male,Never,16,5,Low,Asbestos,High,Yes,No,23.4,High,High,Good,North,Middle,Tertiary,Good,Never,No,None,2012,Alive
+P100011,26,Female,Never,25,1,High,Diesel Fumes,High,No,No,33.8,Low,None,Poor,North,Middle,Secondary,Average,Never,No,None,2008,Alive
+P100012,88,Male,Former,5,5,Medium,Silica,Low,Yes,No,29.7,High,None,Good,East,Low,Secondary,Poor,Occasionally,No,Stage IV,2012,Deceased
+P100013,84,Male,Never,42,3,Medium,Asbestos,Low,Yes,No,33.1,High,Moderate,Average,North,High,Tertiary,Average,Regularly,No,Stage IV,2011,Alive
+P100014,45,Male,Former,48,28,Low,Silica,Moderate,Yes,No,21.6,Moderate,None,Poor,South,Low,Secondary,Good,Regularly,No,Stage I,2020,Alive
+P100015,57,Male,Current,8,24,High,Diesel Fumes,Low,Yes,No,28.7,Moderate,Moderate,Poor,South,Middle,Primary,Good,Regularly,No,None,2014,Alive
+P100016,82,Female,Current,49,8,Low,Asbestos,Moderate,Yes,No,27.0,High,None,Good,East,High,Secondary,Poor,Regularly,No,None,2002,Deceased
+P100017,46,Female,Current,16,2,Low,None,Moderate,Yes,No,24.7,Low,None,Good,West,High,Secondary,Poor,Never,No,None,2002,Alive
+P100018,73,Male,Never,30,25,High,None,High,No,No,21.2,High,High,Poor,North,Low,Secondary,Average,Occasionally,No,None,2001,Alive
+P100019,83,Male,Former,11,26,High,None,High,No,No,30.4,Moderate,None,Poor,South,Low,Primary,Average,Regularly,Yes,None,2005,Alive
+P100020,66,Male,Former,22,35,High,Silica,Moderate,Yes,No,22.4,Low,High,Poor,West,Middle,Primary,Good,Regularly,No,None,2024,Alive
+P100021,84,Male,Never,4,31,Medium,Asbestos,Moderate,No,No,25.7,High,High,Good,South,Low,Tertiary,Good,Occasionally,Yes,None,2015,Alive
+P100022,39,Female,Never,42,0,Low,Diesel Fumes,Low,No,No,29.6,Low,High,Poor,South,Middle,Secondary,Good,Regularly,No,None,2022,Alive
+P100023,86,Male,Current,35,15,Medium,Diesel Fumes,Moderate,No,Yes,20.1,Low,High,Average,West,Middle,Primary,Poor,Occasionally,No,None,2017,Alive
+P100024,86,Female,Current,35,10,High,Silica,Low,Yes,No,19.6,Low,None,Average,West,Middle,Secondary,Poor,Regularly,Yes,None,2008,Alive
+P100025,71,Male,Former,2,25,Medium,Silica,High,No,No,37.6,High,High,Good,North,High,Secondary,Poor,Occasionally,No,None,2002,Alive
+P100026,86,Male,Former,23,39,High,Diesel Fumes,Low,Yes,No,20.7,Moderate,None,Poor,East,High,Tertiary,Average,Regularly,No,None,2022,Alive
+P100027,75,Male,Former,16,0,High,Asbestos,High,No,No,33.1,Low,None,Poor,East,Low,Secondary,Poor,Never,No,Stage IV,2022,Alive
+P100028,79,Male,Never,38,25,Low,Silica,Moderate,No,No,24.7,Low,Moderate,Average,South,Low,Primary,Average,Regularly,No,None,2015,Alive
+P100029,88,Female,Former,25,27,Low,Asbestos,Moderate,Yes,No,22.9,High,Moderate,Poor,East,High,Tertiary,Average,Never,No,None,2003,Alive
+P100030,27,Female,Never,3,8,Low,Diesel Fumes,Moderate,No,Yes,23.4,Moderate,Moderate,Good,South,Low,Tertiary,Average,Occasionally,No,None,2013,Alive
+P100031,75,Female,Never,44,21,Medium,Asbestos,Low,Yes,No,24.7,Moderate,High,Good,West,Middle,Secondary,Poor,Never,Yes,None,2003,Alive
+P100032,31,Male,Current,11,7,Low,None,High,No,No,31.7,High,None,Good,South,Middle,Secondary,Good,Regularly,Yes,None,2017,Alive
+P100033,45,Male,Former,0,26,High,Diesel Fumes,High,No,No,28.8,Low,None,Poor,North,High,Primary,Poor,Never,No,None,2017,Alive
+P100034,63,Female,Current,20,38,Low,None,High,No,No,23.9,High,High,Poor,South,Low,Secondary,Poor,Never,No,Stage I,2017,Alive
+P100035,42,Female,Former,18,18,Medium,Diesel Fumes,High,No,No,15.7,Moderate,Moderate,Average,South,Low,Primary,Poor,Regularly,No,Stage II,2020,Alive
+P100036,28,Male,Former,20,24,Low,None,High,Yes,No,25.1,Low,Moderate,Average,North,High,Secondary,Average,Occasionally,No,None,2002,Alive
+P100037,84,Male,Never,17,37,Low,Asbestos,Low,Yes,No,25.7,Low,None,Good,North,Middle,Primary,Good,Never,No,None,2006,Alive
+P100038,38,Female,Never,42,20,Low,Diesel Fumes,High,No,No,31.3,Moderate,None,Poor,East,Middle,Secondary,Poor,Regularly,No,None,2012,Alive
+P100039,33,Male,Never,2,23,Medium,Diesel Fumes,Moderate,Yes,No,17.6,Low,None,Poor,West,Low,Tertiary,Poor,Never,No,None,2006,Alive
+P100040,77,Male,Current,48,23,High,None,High,No,No,22.5,High,Moderate,Good,West,High,Primary,Average,Occasionally,No,None,2021,Alive
+P100041,26,Female,Current,43,18,High,Asbestos,Moderate,Yes,No,22.4,Moderate,None,Good,North,High,Tertiary,Poor,Occasionally,No,None,2012,Alive
+P100042,84,Male,Former,31,1,High,Diesel Fumes,Low,Yes,No,24.7,Moderate,Moderate,Average,West,Middle,Tertiary,Poor,Occasionally,No,None,2023,Alive
+P100043,68,Female,Former,9,13,Low,Silica,Low,Yes,No,25.5,Low,Moderate,Average,South,Middle,Tertiary,Average,Never,Yes,None,2003,Alive
+P100044,32,Male,Current,39,31,Low,None,Moderate,No,Yes,27.2,Moderate,Moderate,Good,West,Low,Tertiary,Poor,Regularly,No,None,2015,Alive
+P100045,71,Female,Never,14,31,Medium,Diesel Fumes,High,Yes,No,15.5,High,High,Poor,North,High,Primary,Good,Occasionally,No,None,2024,Alive
+P100046,59,Male,Never,4,27,High,Asbestos,Low,Yes,No,25.9,Moderate,High,Average,West,Low,Secondary,Average,Regularly,No,None,2014,Alive
+P100047,60,Female,Former,3,38,Low,Asbestos,Low,No,No,26.2,Low,None,Good,North,Low,Tertiary,Good,Occasionally,No,Stage I,2012,Deceased
+P100048,74,Female,Current,27,39,Low,Asbestos,Low,No,No,25.4,Moderate,Moderate,Poor,East,High,Secondary,Poor,Never,No,None,2009,Alive
+P100049,28,Female,Current,3,39,Low,Asbestos,High,No,No,24.1,Low,None,Good,North,High,Primary,Average,Never,No,None,2009,Alive
+P100050,26,Female,Never,14,12,Medium,None,Moderate,Yes,No,7.9,Low,Moderate,Poor,South,Middle,Secondary,Average,Occasionally,No,None,2004,Alive
+P100051,30,Male,Current,16,11,High,Diesel Fumes,Moderate,Yes,No,27.8,High,None,Average,South,High,Primary,Poor,Regularly,No,Stage IV,2003,Alive
+P100052,78,Male,Current,43,7,Medium,None,High,Yes,No,20.1,Moderate,None,Poor,South,Low,Secondary,Good,Regularly,Yes,Stage I,2018,Alive
+P100053,28,Female,Never,2,14,High,None,Low,Yes,No,28.1,High,High,Poor,North,Low,Primary,Poor,Occasionally,Yes,None,2014,Alive
+P100054,78,Male,Former,9,25,High,Asbestos,High,Yes,No,31.3,High,High,Good,North,High,Primary,Average,Never,No,None,2008,Alive
+P100055,87,Male,Former,46,11,Low,Silica,High,Yes,Yes,16.6,Moderate,High,Poor,South,Low,Secondary,Average,Regularly,No,None,2015,Alive
+P100056,42,Male,Current,41,26,Low,Asbestos,Moderate,No,No,27.9,High,High,Average,West,High,Tertiary,Average,Regularly,No,Stage I,2003,Alive
+P100057,68,Male,Never,22,17,Low,Silica,High,Yes,No,18.8,High,Moderate,Good,North,Middle,Tertiary,Poor,Never,No,None,2024,Alive
+P100058,58,Male,Current,17,35,Low,None,High,Yes,No,24.8,Low,None,Good,West,Middle,Secondary,Poor,Regularly,No,None,2010,Alive
+P100059,86,Female,Former,0,26,Low,Asbestos,Low,Yes,No,24.4,High,None,Good,East,High,Tertiary,Poor,Occasionally,No,None,2016,Alive
+P100060,38,Female,Current,34,8,High,Asbestos,Low,No,No,28.8,Moderate,Moderate,Good,East,Low,Tertiary,Good,Never,Yes,None,2020,Alive
+P100061,72,Female,Former,30,38,Low,None,Moderate,Yes,Yes,28.0,Low,Moderate,Good,East,High,Primary,Good,Occasionally,No,None,2000,Deceased
+P100062,39,Female,Former,43,0,Low,Asbestos,Low,No,No,26.3,High,None,Good,East,High,Secondary,Good,Never,No,None,2008,Alive
+P100063,86,Male,Current,0,6,Medium,Diesel Fumes,High,Yes,No,16.8,High,High,Good,South,Middle,Tertiary,Average,Occasionally,No,None,2011,Alive
+P100064,64,Male,Current,2,25,Medium,Silica,High,No,No,12.4,Moderate,High,Average,North,High,Tertiary,Good,Occasionally,No,None,2022,Alive
+P100065,77,Female,Current,2,6,High,Silica,High,No,No,29.6,High,High,Average,East,Middle,Tertiary,Average,Occasionally,No,None,2011,Alive
+P100066,48,Male,Never,36,6,High,Silica,Moderate,No,No,28.7,Moderate,Moderate,Good,South,Middle,Secondary,Good,Regularly,No,Stage I,2009,Alive
+P100067,50,Male,Current,18,7,Medium,Asbestos,Low,Yes,No,20.0,High,None,Poor,East,High,Tertiary,Good,Regularly,Yes,None,2008,Alive
+P100068,84,Female,Never,28,15,Medium,Diesel Fumes,High,No,Yes,26.7,High,Moderate,Good,North,High,Tertiary,Average,Occasionally,No,None,2020,Alive
+P100069,65,Male,Former,24,2,Low,Asbestos,Low,Yes,No,24.0,Moderate,None,Good,East,High,Tertiary,Poor,Occasionally,No,Stage III,2024,Alive
+P100070,53,Female,Former,32,9,Low,Silica,Low,No,No,30.4,Low,High,Good,East,High,Primary,Good,Never,No,None,2019,Alive
+P100071,39,Female,Former,35,6,High,Asbestos,Low,Yes,No,25.4,Moderate,High,Poor,West,Middle,Secondary,Average,Regularly,No,None,2015,Alive
+P100072,69,Male,Former,28,20,Medium,Silica,Low,No,Yes,29.5,Low,High,Average,West,High,Tertiary,Poor,Occasionally,No,None,2012,Alive
+P100073,89,Male,Current,25,36,High,None,Moderate,No,No,21.9,Low,None,Poor,West,Middle,Primary,Poor,Regularly,No,Stage IV,2002,Alive
+P100074,33,Female,Never,3,30,Low,Silica,Moderate,Yes,No,26.4,Moderate,High,Poor,West,Middle,Secondary,Poor,Never,Yes,None,2017,Alive
+P100075,25,Female,Current,48,22,High,None,Moderate,No,No,22.9,Moderate,None,Poor,East,Low,Primary,Average,Occasionally,No,Stage I,2003,Alive
+P100076,32,Male,Former,13,26,High,None,High,Yes,Yes,21.9,High,Moderate,Poor,East,Middle,Primary,Good,Regularly,No,None,2018,Deceased
+P100077,87,Female,Never,49,21,High,None,High,No,No,13.4,High,High,Good,West,Low,Secondary,Good,Never,No,None,2024,Deceased
+P100078,35,Female,Never,26,38,Low,Silica,High,No,No,29.6,Low,Moderate,Average,North,High,Tertiary,Good,Occasionally,Yes,None,2012,Alive
+P100079,32,Female,Current,32,26,High,Diesel Fumes,Moderate,Yes,No,33.7,High,Moderate,Poor,South,Low,Tertiary,Poor,Regularly,Yes,Stage II,2012,Alive
+P100080,59,Male,Current,21,3,Low,Silica,Low,Yes,No,18.1,Moderate,None,Average,East,High,Primary,Good,Never,No,None,2011,Alive
+P100081,59,Female,Current,47,23,Medium,Asbestos,Moderate,Yes,No,28.5,Low,Moderate,Good,West,Middle,Secondary,Average,Never,No,Stage III,2023,Alive
+P100082,57,Male,Current,2,22,High,Asbestos,High,No,No,28.3,High,None,Good,South,Low,Secondary,Good,Regularly,No,None,2000,Deceased
+P100083,29,Female,Never,22,18,High,Diesel Fumes,High,Yes,No,22.4,High,None,Average,West,High,Tertiary,Good,Occasionally,No,None,2001,Alive
+P100084,65,Male,Former,20,2,Low,Diesel Fumes,Low,Yes,No,21.3,Moderate,Moderate,Good,West,High,Primary,Good,Regularly,No,None,2002,Alive
+P100085,52,Female,Current,40,26,High,Diesel Fumes,Moderate,No,Yes,30.9,Moderate,None,Average,North,Low,Tertiary,Good,Never,No,Stage II,2021,Alive
+P100086,31,Male,Former,22,2,Low,None,Low,Yes,No,30.4,High,None,Poor,North,Low,Secondary,Average,Never,Yes,None,2020,Alive
+P100087,36,Male,Former,3,27,High,Diesel Fumes,Moderate,Yes,Yes,27.3,Low,None,Good,East,High,Secondary,Good,Occasionally,No,None,2020,Alive
+P100088,58,Male,Former,20,16,Medium,Diesel Fumes,High,No,No,22.4,Low,Moderate,Good,West,High,Tertiary,Poor,Regularly,No,None,2021,Alive
+P100089,57,Female,Former,36,30,Medium,Diesel Fumes,Low,No,No,30.4,Moderate,None,Average,South,Middle,Tertiary,Good,Occasionally,No,None,2012,Alive
+P100090,72,Female,Former,42,9,Medium,Silica,Low,No,Yes,20.8,Moderate,High,Good,East,High,Secondary,Poor,Occasionally,No,None,2011,Alive
+P100091,47,Female,Never,30,21,High,Asbestos,Moderate,No,No,32.1,Moderate,Moderate,Poor,North,Low,Primary,Poor,Never,No,Stage IV,2015,Alive
+P100092,86,Male,Former,20,29,High,Asbestos,Moderate,No,No,33.2,High,Moderate,Good,East,High,Secondary,Poor,Regularly,Yes,Stage II,2013,Alive
+P100093,61,Female,Former,25,20,Medium,Diesel Fumes,Moderate,Yes,No,30.9,High,None,Good,East,High,Primary,Average,Regularly,Yes,None,2023,Alive
+P100094,68,Male,Former,40,35,Medium,Asbestos,High,No,No,26.7,Moderate,Moderate,Good,West,Low,Tertiary,Poor,Never,No,Stage II,2013,Alive
+P100095,59,Female,Never,34,22,Low,Silica,Moderate,No,Yes,12.3,Low,High,Average,South,Middle,Tertiary,Poor,Never,No,None,2016,Deceased
+P100096,89,Male,Current,37,37,Low,Asbestos,High,No,Yes,24.1,Moderate,Moderate,Poor,North,High,Primary,Good,Regularly,No,None,2004,Alive
+P100097,71,Male,Never,23,11,Medium,None,Moderate,Yes,No,33.8,Moderate,Moderate,Poor,East,Low,Secondary,Average,Occasionally,No,None,2005,Alive
+P100098,27,Male,Former,10,24,Medium,Silica,Moderate,Yes,No,29.7,Low,Moderate,Good,East,Low,Secondary,Average,Occasionally,No,None,2009,Deceased
+P100099,25,Female,Current,40,19,High,Asbestos,High,Yes,No,27.2,Low,None,Good,West,Low,Primary,Average,Regularly,No,Stage II,2021,Alive
+P100100,29,Female,Former,28,6,Medium,Asbestos,Moderate,Yes,No,21.6,Low,High,Average,East,Low,Primary,Poor,Occasionally,No,None,2008,Alive
+P100101,38,Female,Never,46,28,Low,Silica,High,No,No,30.1,Low,High,Poor,South,Middle,Primary,Poor,Occasionally,No,None,2006,Alive
+P100102,51,Male,Current,2,28,Low,Asbestos,High,No,No,17.1,High,High,Good,West,Low,Primary,Poor,Never,No,None,2003,Deceased
+P100103,33,Male,Former,0,12,Low,Asbestos,Moderate,No,Yes,24.1,High,Moderate,Poor,North,High,Secondary,Good,Occasionally,No,None,2022,Alive
+P100104,39,Female,Current,18,2,Low,Diesel Fumes,Moderate,Yes,No,33.7,Moderate,High,Good,East,Middle,Tertiary,Poor,Never,No,None,2006,Alive
+P100105,66,Female,Current,45,1,Low,None,Low,No,No,21.0,High,None,Good,East,Low,Secondary,Average,Occasionally,No,None,2010,Alive
+P100106,75,Female,Current,48,15,Low,Silica,Moderate,Yes,No,28.0,Moderate,Moderate,Average,West,High,Primary,Good,Regularly,No,None,2005,Alive
+P100107,87,Male,Former,21,29,Medium,Diesel Fumes,Low,Yes,No,16.2,Moderate,None,Poor,East,Middle,Secondary,Good,Never,Yes,None,2015,Deceased
+P100108,76,Male,Never,13,37,Low,Asbestos,Moderate,Yes,No,21.7,Low,Moderate,Poor,North,High,Primary,Average,Regularly,No,None,2015,Alive
+P100109,28,Male,Never,48,5,Low,Silica,High,No,No,25.9,Low,None,Good,South,Middle,Primary,Poor,Never,Yes,Stage III,2023,Alive
+P100110,47,Male,Former,13,6,Low,Silica,High,No,No,26.8,High,Moderate,Good,South,Low,Primary,Good,Occasionally,No,None,2023,Alive
+P100111,39,Male,Former,43,4,Low,None,Low,No,No,35.3,High,None,Average,West,High,Primary,Average,Regularly,No,None,2012,Alive
+P100112,67,Female,Former,15,6,Medium,None,Moderate,No,No,22.5,High,High,Good,East,Low,Secondary,Poor,Never,No,None,2011,Alive
+P100113,53,Male,Never,32,33,High,Silica,Low,Yes,No,28.0,High,Moderate,Poor,West,Middle,Primary,Good,Regularly,No,None,2021,Alive
+P100114,60,Male,Never,12,31,High,None,Moderate,No,No,27.8,Low,Moderate,Average,West,Low,Secondary,Good,Regularly,No,Stage III,2001,Alive
+P100115,37,Male,Former,37,12,High,None,Moderate,Yes,No,22.1,Low,None,Poor,West,Low,Secondary,Good,Occasionally,Yes,None,2020,Alive
+P100116,56,Male,Never,48,29,High,Asbestos,High,Yes,No,29.8,High,None,Average,West,High,Tertiary,Good,Never,Yes,Stage I,2012,Alive
+P100117,83,Male,Current,11,24,Low,None,Low,Yes,No,28.3,Moderate,None,Poor,West,Low,Secondary,Good,Occasionally,No,None,2000,Alive
+P100118,52,Female,Never,37,20,High,None,High,Yes,No,23.6,Low,Moderate,Good,East,Low,Tertiary,Poor,Regularly,Yes,None,2009,Alive
+P100119,66,Male,Former,38,20,High,Diesel Fumes,High,Yes,No,26.0,Low,None,Poor,South,Low,Tertiary,Average,Never,No,Stage II,2009,Alive
+P100120,69,Male,Current,32,27,Medium,Asbestos,High,Yes,No,20.2,Low,High,Poor,South,Middle,Tertiary,Good,Regularly,No,Stage IV,2010,Alive
+P100121,86,Male,Never,32,19,Medium,Asbestos,Low,Yes,No,20.6,Low,None,Average,South,High,Secondary,Average,Regularly,No,Stage IV,2008,Deceased
+P100122,81,Female,Former,28,33,Medium,Silica,Moderate,No,Yes,24.9,High,None,Poor,East,High,Tertiary,Average,Never,No,None,2003,Alive
+P100123,30,Female,Never,4,4,Low,None,Moderate,No,No,28.7,High,None,Good,East,Low,Primary,Average,Regularly,Yes,None,2016,Alive
+P100124,52,Female,Current,5,17,Low,Diesel Fumes,Low,Yes,No,23.3,Moderate,High,Average,West,High,Secondary,Poor,Never,No,Stage II,2018,Deceased
+P100125,52,Male,Former,30,38,Low,Diesel Fumes,Moderate,No,No,21.9,Low,None,Average,South,Middle,Primary,Average,Never,No,None,2009,Deceased
+P100126,68,Female,Former,15,10,Medium,Asbestos,Low,No,No,23.8,High,None,Poor,West,Middle,Secondary,Average,Never,No,None,2012,Alive
+P100127,54,Male,Former,30,16,High,None,Low,No,No,29.1,High,Moderate,Average,South,Low,Tertiary,Average,Regularly,No,Stage III,2001,Alive
+P100128,86,Male,Current,24,21,Medium,Diesel Fumes,Moderate,No,No,18.2,Low,Moderate,Good,North,Low,Tertiary,Good,Occasionally,Yes,None,2008,Alive
+P100129,86,Female,Never,47,36,Low,Silica,High,Yes,No,29.3,High,None,Poor,East,Middle,Secondary,Good,Regularly,No,None,2006,Alive
+P100130,25,Male,Never,45,19,Medium,None,Low,No,No,27.6,High,Moderate,Good,North,Middle,Tertiary,Average,Regularly,Yes,None,2009,Alive
+P100131,51,Male,Current,32,5,High,None,Low,Yes,Yes,18.2,High,None,Poor,South,Middle,Primary,Poor,Never,No,Stage IV,2011,Alive
+P100132,86,Male,Former,12,33,Low,None,Low,Yes,No,23.8,Moderate,None,Poor,West,Low,Primary,Good,Occasionally,Yes,None,2021,Deceased
+P100133,27,Female,Current,9,13,High,Diesel Fumes,Low,No,No,28.2,High,High,Average,East,Middle,Tertiary,Good,Never,No,None,2019,Alive
+P100134,51,Male,Former,23,22,High,Asbestos,Moderate,No,No,15.4,Low,None,Average,East,Low,Secondary,Average,Regularly,Yes,None,2010,Alive
+P100135,33,Male,Current,9,19,Low,Asbestos,Moderate,Yes,Yes,19.8,Low,Moderate,Average,West,Middle,Secondary,Average,Occasionally,No,Stage II,2003,Alive
+P100136,86,Female,Former,40,12,High,Silica,Low,Yes,No,17.4,Low,Moderate,Poor,North,Middle,Primary,Poor,Never,No,None,2011,Alive
+P100137,61,Male,Current,30,31,Medium,Diesel Fumes,High,No,No,22.1,High,Moderate,Average,North,High,Tertiary,Good,Regularly,No,None,2011,Alive
+P100138,75,Male,Current,12,25,High,None,Moderate,No,Yes,30.2,Moderate,Moderate,Good,North,Middle,Tertiary,Average,Regularly,No,None,2022,Alive
+P100139,68,Female,Former,2,13,High,Silica,High,Yes,No,29.0,High,None,Average,North,Low,Primary,Good,Occasionally,No,None,2007,Deceased
+P100140,48,Male,Never,49,35,High,Silica,High,No,No,22.5,Low,High,Good,East,Middle,Secondary,Average,Regularly,Yes,None,2019,Alive
+P100141,83,Male,Never,33,7,Medium,Asbestos,Low,Yes,No,30.1,Moderate,High,Average,South,High,Tertiary,Average,Regularly,Yes,None,2013,Alive
+P100142,56,Male,Never,48,39,High,None,Moderate,Yes,Yes,28.3,Moderate,None,Poor,West,Middle,Secondary,Poor,Regularly,No,None,2006,Deceased
+P100143,76,Male,Never,27,21,High,None,Low,Yes,No,31.4,High,Moderate,Average,South,Middle,Secondary,Good,Regularly,No,Stage III,2002,Alive
+P100144,86,Male,Former,18,21,Medium,Diesel Fumes,Low,Yes,No,24.6,Low,High,Good,South,Middle,Primary,Good,Occasionally,No,None,2024,Deceased
+P100145,82,Female,Former,22,15,Low,Diesel Fumes,High,No,No,27.7,High,High,Good,North,Low,Secondary,Average,Regularly,Yes,None,2018,Alive
+P100146,76,Female,Former,44,26,Low,Diesel Fumes,High,Yes,No,41.9,Low,None,Average,South,Middle,Primary,Poor,Regularly,Yes,None,2013,Alive
+P100147,36,Female,Former,31,9,Low,Silica,High,Yes,No,23.5,Moderate,Moderate,Good,North,Middle,Tertiary,Poor,Regularly,No,None,2018,Alive
+P100148,63,Female,Current,12,24,High,None,Low,No,No,24.7,High,High,Poor,North,Middle,Secondary,Poor,Occasionally,No,None,2009,Alive
+P100149,26,Male,Never,32,30,Low,Asbestos,Low,No,Yes,24.2,Moderate,None,Average,South,High,Primary,Good,Occasionally,No,Stage I,2011,Alive
+P100150,27,Male,Never,33,20,Medium,Silica,Low,Yes,No,24.5,Low,High,Good,West,Low,Primary,Average,Never,No,None,2017,Alive
+P100151,80,Male,Never,32,26,High,Silica,Low,No,No,27.8,Moderate,High,Average,South,Low,Secondary,Average,Occasionally,No,Stage I,2018,Alive
+P100152,83,Male,Former,4,16,High,Asbestos,Low,No,No,25.3,Moderate,Moderate,Average,South,High,Primary,Poor,Regularly,No,None,2023,Alive
+P100153,26,Male,Never,2,32,High,Asbestos,Low,Yes,No,18.2,Moderate,Moderate,Average,East,Low,Tertiary,Poor,Occasionally,No,Stage II,2017,Alive
+P100154,26,Female,Never,6,30,Low,Diesel Fumes,Low,No,Yes,25.1,High,High,Average,North,High,Secondary,Poor,Occasionally,No,None,2012,Alive
+P100155,78,Female,Former,23,25,Low,Asbestos,Low,No,No,22.4,Low,Moderate,Average,East,Middle,Tertiary,Good,Occasionally,Yes,Stage III,2016,Alive
+P100156,25,Male,Current,21,20,Low,Asbestos,Moderate,No,No,16.4,Moderate,High,Poor,West,Low,Primary,Average,Regularly,No,None,2020,Alive
+P100157,43,Male,Never,44,35,High,Asbestos,Moderate,No,No,30.7,Moderate,High,Average,South,Middle,Tertiary,Poor,Never,Yes,None,2023,Alive
+P100158,26,Male,Current,22,0,Medium,Asbestos,Moderate,No,No,22.3,Moderate,High,Poor,East,Middle,Primary,Poor,Never,No,None,2005,Alive
+P100159,77,Female,Current,29,3,High,Diesel Fumes,Moderate,Yes,No,26.9,Moderate,None,Average,East,Low,Primary,Average,Never,Yes,Stage III,2015,Alive
+P100160,68,Male,Current,17,3,Medium,Silica,Low,No,No,9.2,Low,Moderate,Good,South,Middle,Tertiary,Good,Never,No,None,2017,Alive
+P100161,56,Male,Current,31,25,High,None,Low,Yes,Yes,27.5,Low,Moderate,Average,South,Middle,Secondary,Good,Occasionally,No,None,2008,Alive
+P100162,56,Male,Never,6,3,Medium,None,High,Yes,No,23.4,High,High,Average,North,High,Secondary,Good,Never,No,None,2012,Alive
+P100163,79,Female,Never,32,8,High,Silica,High,No,No,17.2,Low,Moderate,Good,North,Low,Secondary,Average,Occasionally,Yes,Stage II,2003,Deceased
+P100164,80,Male,Current,4,29,High,None,Moderate,No,No,22.2,Low,High,Poor,East,Middle,Tertiary,Good,Occasionally,No,Stage IV,2012,Deceased
+P100165,41,Female,Former,48,3,Medium,None,High,No,No,21.6,Moderate,Moderate,Poor,South,High,Tertiary,Poor,Never,No,None,2002,Alive
+P100166,62,Female,Former,27,4,Medium,Silica,Moderate,No,No,28.8,High,Moderate,Poor,North,Low,Tertiary,Good,Regularly,Yes,None,2003,Deceased
+P100167,48,Female,Current,7,22,Medium,None,Low,No,No,25.5,High,High,Poor,North,Middle,Tertiary,Average,Never,No,None,2018,Alive
+P100168,35,Female,Current,14,15,Medium,None,Low,No,No,17.4,Moderate,Moderate,Good,West,Middle,Secondary,Good,Never,No,Stage IV,2023,Alive
+P100169,40,Female,Current,3,21,Medium,Silica,High,No,No,27.2,High,High,Poor,East,Middle,Secondary,Average,Occasionally,No,None,2000,Alive
+P100170,83,Female,Current,33,36,Medium,None,Low,No,No,14.6,Low,None,Poor,East,Middle,Primary,Average,Occasionally,No,None,2000,Alive
+P100171,27,Male,Current,4,7,Medium,Asbestos,Low,No,No,19.4,High,High,Poor,East,Middle,Tertiary,Good,Never,No,None,2008,Alive
+P100172,44,Male,Never,32,32,Medium,Silica,Moderate,No,No,25.1,Moderate,Moderate,Poor,South,Low,Secondary,Poor,Never,Yes,None,2022,Alive
+P100173,83,Male,Current,4,37,High,Diesel Fumes,High,No,No,21.9,High,None,Poor,West,Low,Secondary,Average,Regularly,No,Stage IV,2024,Alive
+P100174,60,Female,Never,37,15,Medium,None,Low,No,No,31.0,High,None,Average,North,High,Secondary,Good,Regularly,Yes,Stage I,2002,Alive
+P100175,43,Male,Never,33,4,Medium,Diesel Fumes,High,Yes,No,25.8,High,High,Average,West,High,Secondary,Average,Regularly,No,None,2002,Alive
+P100176,43,Female,Current,25,15,High,None,Low,No,No,28.1,Moderate,None,Poor,North,High,Secondary,Good,Occasionally,No,Stage III,2017,Alive
+P100177,44,Female,Never,0,6,High,Asbestos,Moderate,Yes,No,28.3,Low,High,Good,North,Low,Secondary,Poor,Regularly,No,Stage III,2001,Deceased
+P100178,76,Female,Never,3,0,Low,Silica,Low,Yes,No,22.8,High,Moderate,Good,West,Low,Tertiary,Average,Occasionally,No,None,2010,Alive
+P100179,57,Male,Never,38,8,Low,Diesel Fumes,High,No,No,19.7,Low,High,Average,East,Low,Primary,Poor,Occasionally,No,None,2008,Deceased
+P100180,64,Female,Current,25,17,Medium,Silica,High,Yes,No,24.8,Low,None,Good,South,Middle,Primary,Poor,Never,No,None,2001,Alive
+P100181,63,Female,Former,32,2,Medium,Diesel Fumes,Moderate,No,No,29.3,Low,High,Average,West,Low,Tertiary,Poor,Regularly,No,None,2019,Alive
+P100182,25,Male,Current,32,23,Low,None,Low,No,No,23.8,High,High,Poor,East,Low,Secondary,Poor,Never,Yes,None,2003,Deceased
+P100183,35,Male,Never,7,27,Low,Asbestos,Moderate,Yes,No,28.0,Low,Moderate,Poor,East,Middle,Tertiary,Poor,Never,No,None,2008,Alive
+P100184,81,Female,Current,19,9,Medium,Diesel Fumes,High,No,Yes,24.9,High,High,Good,South,High,Secondary,Good,Occasionally,Yes,Stage II,2013,Deceased
+P100185,74,Female,Current,15,8,Low,Diesel Fumes,Moderate,Yes,No,17.2,High,Moderate,Good,South,High,Secondary,Poor,Regularly,Yes,Stage III,2018,Alive
+P100186,47,Male,Former,20,12,Medium,Asbestos,Low,Yes,No,17.7,High,None,Good,East,High,Secondary,Good,Never,No,None,2015,Alive
+P100187,55,Male,Former,44,34,High,Asbestos,Low,No,No,32.8,Low,None,Poor,South,Middle,Secondary,Poor,Occasionally,No,None,2013,Alive
+P100188,66,Male,Never,25,22,High,Asbestos,Moderate,Yes,No,19.2,High,High,Poor,East,Middle,Secondary,Poor,Never,Yes,None,2014,Alive
+P100189,31,Female,Current,22,16,Low,Asbestos,High,Yes,No,21.8,Moderate,High,Good,North,Middle,Tertiary,Average,Regularly,No,Stage III,2017,Alive
+P100190,40,Male,Current,17,6,High,Asbestos,High,No,No,29.6,Moderate,None,Good,South,Low,Tertiary,Good,Occasionally,No,None,2014,Alive
+P100191,84,Male,Current,30,15,High,Silica,Moderate,Yes,No,19.0,Moderate,None,Good,North,High,Primary,Poor,Regularly,No,None,2018,Deceased
+P100192,26,Male,Former,41,39,High,None,Low,No,No,21.6,High,None,Good,South,Middle,Secondary,Poor,Never,No,None,2008,Deceased
+P100193,25,Female,Current,11,35,High,None,Low,No,No,23.9,Moderate,High,Average,East,Middle,Tertiary,Poor,Occasionally,No,None,2020,Alive
+P100194,72,Male,Current,0,19,Medium,Diesel Fumes,Low,No,No,23.3,High,None,Good,East,High,Tertiary,Good,Never,No,None,2020,Alive
+P100195,36,Male,Current,41,23,Medium,Asbestos,Low,No,No,20.1,High,High,Good,East,High,Secondary,Good,Never,No,None,2015,Alive
+P100196,61,Male,Current,8,4,Low,Silica,High,Yes,No,24.0,High,None,Average,East,Low,Secondary,Good,Regularly,No,None,2022,Alive
+P100197,56,Male,Former,2,5,High,Silica,Low,No,No,28.4,Low,None,Average,East,High,Tertiary,Average,Occasionally,Yes,None,2016,Alive
+P100198,33,Male,Never,25,27,High,Diesel Fumes,Moderate,Yes,No,24.4,Moderate,High,Average,East,Middle,Secondary,Average,Never,Yes,None,2009,Alive
+P100199,43,Female,Current,8,4,High,Asbestos,Moderate,Yes,No,21.7,High,Moderate,Average,South,Low,Tertiary,Poor,Regularly,No,None,2004,Alive
+P100200,72,Female,Current,41,38,Low,None,Moderate,No,No,29.7,Moderate,High,Good,South,High,Primary,Good,Regularly,No,None,2008,Alive
+P100201,27,Female,Former,15,37,Medium,Asbestos,Moderate,No,No,33.5,Moderate,Moderate,Poor,North,Low,Secondary,Good,Occasionally,No,None,2013,Alive
+P100202,44,Male,Never,23,1,High,Silica,Low,No,No,29.8,Low,High,Poor,West,Middle,Primary,Average,Never,No,None,2021,Alive
+P100203,48,Female,Former,49,38,Medium,Asbestos,High,Yes,No,19.4,Moderate,Moderate,Poor,South,Middle,Primary,Poor,Occasionally,No,None,2023,Alive
+P100204,78,Female,Former,13,20,Low,None,Low,No,No,19.5,High,Moderate,Poor,South,Middle,Primary,Good,Occasionally,No,None,2009,Alive
+P100205,57,Female,Former,2,39,Medium,None,High,Yes,No,27.2,High,Moderate,Poor,West,Middle,Secondary,Good,Never,No,None,2023,Alive
+P100206,48,Male,Current,33,36,High,Diesel Fumes,Low,No,No,25.9,Moderate,High,Poor,West,Low,Primary,Poor,Occasionally,No,None,2000,Alive
+P100207,60,Male,Current,32,17,Medium,Silica,High,No,No,18.9,Moderate,High,Average,North,Low,Tertiary,Average,Occasionally,No,Stage II,2023,Alive
+P100208,62,Female,Never,49,11,Medium,Asbestos,Moderate,Yes,No,26.4,Low,High,Average,North,Middle,Tertiary,Average,Occasionally,Yes,None,2021,Alive
+P100209,49,Female,Former,23,16,Low,Asbestos,Moderate,Yes,No,25.5,High,Moderate,Poor,East,Low,Secondary,Good,Regularly,Yes,None,2019,Alive
+P100210,42,Male,Never,8,36,Low,Diesel Fumes,High,No,No,32.4,Moderate,Moderate,Good,North,Middle,Secondary,Poor,Never,No,Stage III,2002,Alive
+P100211,78,Male,Never,12,37,Low,Diesel Fumes,High,No,No,22.8,Moderate,High,Good,North,Middle,Primary,Poor,Occasionally,Yes,None,2015,Alive
+P100212,59,Female,Current,1,14,Low,Diesel Fumes,High,No,Yes,31.9,High,High,Poor,West,High,Secondary,Poor,Regularly,No,None,2004,Alive
+P100213,85,Male,Current,6,6,Medium,Silica,Moderate,Yes,No,32.2,Moderate,None,Good,South,Low,Tertiary,Good,Regularly,No,None,2012,Alive
+P100214,65,Female,Former,47,13,Medium,Asbestos,Moderate,No,No,21.6,Low,None,Average,East,High,Tertiary,Average,Occasionally,Yes,None,2004,Alive
+P100215,57,Male,Current,20,0,Low,Diesel Fumes,Low,No,No,26.8,Moderate,None,Average,North,Middle,Tertiary,Average,Never,No,None,2022,Deceased
+P100216,57,Female,Current,18,37,Low,Silica,High,Yes,No,23.9,Moderate,None,Good,West,High,Secondary,Average,Regularly,Yes,None,2024,Alive
+P100217,38,Female,Current,24,2,High,Asbestos,High,No,No,23.7,Low,None,Poor,East,Middle,Tertiary,Average,Occasionally,Yes,None,2010,Alive
+P100218,45,Male,Never,46,36,High,None,High,Yes,No,26.2,Low,High,Average,East,Middle,Secondary,Average,Never,No,Stage IV,2016,Alive
+P100219,72,Female,Current,21,30,Low,Diesel Fumes,Moderate,Yes,No,21.1,Low,Moderate,Good,West,Middle,Primary,Good,Never,No,None,2024,Alive
+P100220,44,Female,Former,10,12,Medium,Silica,High,No,No,17.0,High,Moderate,Good,North,Low,Tertiary,Good,Occasionally,No,None,2002,Deceased
+P100221,32,Female,Former,32,17,Low,Asbestos,High,No,No,22.3,Moderate,High,Average,North,Middle,Primary,Average,Regularly,Yes,None,2021,Alive
+P100222,31,Male,Never,31,16,Medium,Asbestos,Moderate,Yes,No,30.9,Moderate,High,Average,North,Middle,Tertiary,Average,Never,No,None,2005,Alive
+P100223,41,Male,Former,20,16,Medium,Diesel Fumes,High,Yes,No,24.0,Low,High,Poor,North,Low,Tertiary,Good,Never,No,None,2015,Alive
+P100224,57,Male,Never,38,10,High,Diesel Fumes,Low,No,Yes,24.9,High,None,Good,East,Low,Tertiary,Average,Never,No,None,2019,Alive
+P100225,72,Female,Never,19,19,Low,Asbestos,Moderate,Yes,No,29.0,Low,None,Poor,South,Middle,Primary,Average,Never,No,None,2001,Alive
+P100226,83,Male,Former,7,9,Low,Silica,Moderate,Yes,No,17.0,Moderate,None,Average,East,Low,Tertiary,Average,Regularly,Yes,None,2004,Alive
+P100227,46,Female,Current,41,28,Medium,None,Moderate,No,No,27.2,High,High,Good,East,Middle,Primary,Poor,Regularly,No,Stage I,2018,Alive
+P100228,54,Female,Current,36,33,Low,Asbestos,Low,Yes,No,33.3,High,High,Average,West,High,Secondary,Average,Occasionally,No,None,2019,Alive
+P100229,62,Male,Former,8,16,High,Silica,Moderate,Yes,No,25.5,Moderate,Moderate,Average,East,Low,Tertiary,Poor,Occasionally,No,None,2021,Alive
+P100230,75,Male,Current,24,12,High,Diesel Fumes,Moderate,Yes,No,15.4,High,High,Average,North,High,Tertiary,Average,Regularly,Yes,None,2010,Alive
+P100231,78,Female,Current,24,38,Low,Asbestos,Moderate,Yes,No,24.6,High,None,Poor,West,Middle,Primary,Average,Occasionally,Yes,None,2022,Alive
+P100232,32,Female,Current,32,26,Low,Diesel Fumes,Moderate,Yes,No,28.1,Low,Moderate,Average,West,Low,Tertiary,Good,Never,No,None,2017,Alive
+P100233,51,Male,Never,1,25,High,None,Low,Yes,No,25.6,High,High,Poor,West,Low,Secondary,Good,Regularly,No,None,2002,Deceased
+P100234,51,Male,Current,18,27,Low,Diesel Fumes,High,No,No,26.4,Low,Moderate,Average,West,Middle,Tertiary,Good,Never,No,Stage I,2011,Deceased
+P100235,45,Male,Current,45,12,Medium,None,High,No,No,27.0,High,Moderate,Average,West,Low,Secondary,Poor,Regularly,Yes,None,2022,Alive
+P100236,54,Female,Current,19,11,Low,Diesel Fumes,Moderate,No,Yes,20.3,Low,High,Good,North,Low,Secondary,Poor,Regularly,No,Stage III,2012,Deceased
+P100237,52,Female,Former,41,27,Medium,Diesel Fumes,Low,No,No,21.0,Low,None,Average,South,Low,Tertiary,Average,Occasionally,No,None,2020,Alive
+P100238,88,Female,Former,40,1,Low,None,Moderate,Yes,No,23.2,High,None,Good,South,High,Tertiary,Poor,Regularly,No,None,2019,Alive
+P100239,85,Female,Current,41,36,Low,Diesel Fumes,High,No,No,27.0,Low,Moderate,Good,West,Middle,Secondary,Good,Occasionally,No,Stage IV,2019,Alive
+P100240,72,Female,Former,28,33,High,Silica,High,Yes,No,19.1,Moderate,High,Poor,South,Middle,Secondary,Poor,Regularly,No,None,2008,Alive
+P100241,43,Male,Never,5,22,Medium,Diesel Fumes,Low,No,No,35.3,Moderate,High,Good,East,Middle,Secondary,Average,Never,No,None,2008,Alive
+P100242,28,Male,Former,16,28,High,Asbestos,High,Yes,No,12.9,High,None,Good,South,Low,Tertiary,Poor,Never,Yes,Stage II,2006,Alive
+P100243,59,Female,Current,24,34,Low,Diesel Fumes,Moderate,No,No,16.5,High,High,Average,East,Low,Primary,Good,Never,No,Stage IV,2000,Alive
+P100244,88,Female,Current,37,10,High,Silica,Low,Yes,No,27.8,High,High,Average,North,Low,Tertiary,Average,Never,No,None,2000,Deceased
+P100245,73,Male,Never,3,32,Low,Asbestos,High,No,No,27.3,Moderate,Moderate,Poor,West,Middle,Primary,Poor,Never,No,None,2018,Alive
+P100246,41,Male,Current,29,10,Low,Silica,Moderate,No,No,24.6,High,High,Good,East,High,Primary,Average,Never,No,None,2002,Alive
+P100247,68,Male,Former,19,8,Low,Asbestos,Low,No,No,28.4,High,High,Good,North,Middle,Tertiary,Average,Regularly,No,None,2006,Alive
+P100248,54,Male,Current,2,13,Medium,Diesel Fumes,Moderate,No,No,27.8,Low,High,Poor,North,Middle,Primary,Poor,Occasionally,No,None,2011,Alive
+P100249,70,Female,Current,22,8,Medium,Silica,High,No,No,25.0,High,None,Average,West,High,Secondary,Average,Regularly,No,None,2015,Alive
+P100250,30,Male,Current,17,38,Medium,Diesel Fumes,Moderate,Yes,No,26.3,Moderate,None,Good,South,Low,Tertiary,Poor,Never,No,None,2012,Alive
+P100251,61,Female,Current,25,2,High,Asbestos,Low,No,Yes,9.3,Moderate,Moderate,Poor,North,Low,Primary,Good,Never,No,None,2017,Alive
+P100252,48,Male,Former,35,28,Low,Silica,Moderate,Yes,No,24.3,High,None,Average,South,Middle,Secondary,Good,Regularly,Yes,None,2023,Alive
+P100253,70,Male,Current,7,18,High,None,High,No,No,24.8,Moderate,None,Poor,South,High,Primary,Poor,Occasionally,No,None,2016,Alive
+P100254,77,Male,Never,16,35,High,Silica,Low,No,No,34.6,Low,None,Poor,South,Middle,Primary,Poor,Occasionally,No,None,2023,Alive
+P100255,84,Female,Current,30,31,Low,Diesel Fumes,Low,No,No,20.9,Low,None,Good,East,Middle,Secondary,Average,Occasionally,No,None,2008,Alive
+P100256,87,Female,Current,36,6,High,None,High,Yes,No,24.8,High,Moderate,Average,South,High,Secondary,Poor,Occasionally,Yes,None,2013,Alive
+P100257,56,Male,Current,44,27,Low,None,Moderate,No,No,32.1,High,High,Good,South,High,Tertiary,Average,Never,No,None,2004,Deceased
+P100258,57,Female,Never,32,17,Low,Asbestos,Moderate,No,No,27.8,Low,High,Good,North,Low,Primary,Good,Never,No,None,2010,Alive
+P100259,42,Female,Current,26,4,Low,None,High,Yes,No,25.1,Low,High,Average,West,Middle,Tertiary,Poor,Occasionally,Yes,None,2019,Alive
+P100260,49,Male,Never,44,22,Low,None,Low,Yes,Yes,29.8,High,Moderate,Average,East,High,Tertiary,Good,Regularly,No,None,2005,Alive
+P100261,78,Male,Never,3,21,High,Asbestos,High,Yes,No,21.0,Moderate,None,Average,South,High,Primary,Poor,Regularly,Yes,None,2005,Alive
+P100262,82,Female,Current,21,25,High,Silica,Low,Yes,No,33.6,High,Moderate,Good,West,High,Primary,Good,Never,No,None,2023,Alive
+P100263,70,Female,Former,25,11,High,Diesel Fumes,Low,No,No,28.2,High,Moderate,Average,South,High,Tertiary,Poor,Regularly,No,None,2007,Deceased
+P100264,48,Female,Current,31,39,Medium,Silica,Moderate,Yes,No,16.9,High,Moderate,Average,South,Middle,Secondary,Poor,Never,No,None,2000,Alive
+P100265,56,Male,Former,23,18,High,None,High,Yes,Yes,22.0,High,High,Average,North,Middle,Tertiary,Average,Never,Yes,None,2008,Deceased
+P100266,71,Male,Never,45,0,High,Diesel Fumes,Low,No,No,14.2,High,None,Poor,West,Middle,Primary,Average,Occasionally,No,None,2009,Alive
+P100267,47,Female,Current,34,2,Medium,Silica,Moderate,Yes,No,29.0,High,High,Average,North,High,Secondary,Poor,Occasionally,No,None,2016,Deceased
+P100268,51,Male,Former,36,26,Low,Diesel Fumes,High,Yes,No,27.8,High,Moderate,Good,North,Low,Tertiary,Average,Occasionally,No,None,2002,Deceased
+P100269,26,Male,Never,31,17,Low,None,High,Yes,No,22.7,Moderate,Moderate,Poor,South,High,Primary,Poor,Occasionally,No,None,2022,Deceased
+P100270,41,Female,Current,6,29,Low,Silica,Low,No,No,31.0,High,High,Good,South,Middle,Secondary,Poor,Occasionally,No,Stage I,2020,Alive
+P100271,57,Female,Former,32,1,Medium,Diesel Fumes,Low,Yes,No,24.6,Low,High,Poor,South,Middle,Secondary,Good,Occasionally,No,None,2021,Alive
+P100272,33,Male,Current,30,4,High,Diesel Fumes,Low,Yes,No,38.1,High,High,Average,West,Middle,Secondary,Average,Regularly,No,None,2012,Alive
+P100273,67,Male,Former,11,28,High,Silica,High,Yes,No,19.0,Moderate,None,Poor,West,Low,Primary,Average,Occasionally,No,None,2007,Alive
+P100274,72,Female,Current,10,32,High,Silica,Low,No,No,28.2,Low,High,Good,West,Low,Tertiary,Good,Occasionally,No,Stage II,2019,Alive
+P100275,63,Male,Current,23,19,High,None,High,No,No,23.0,High,None,Poor,West,Middle,Primary,Poor,Never,No,None,2013,Alive
+P100276,66,Male,Current,7,29,Medium,Asbestos,Moderate,Yes,No,21.6,High,None,Average,South,High,Primary,Average,Never,No,None,2019,Alive
+P100277,50,Female,Never,31,4,High,Diesel Fumes,High,No,No,24.1,Low,High,Average,South,Middle,Secondary,Poor,Occasionally,No,None,2007,Alive
+P100278,74,Female,Current,37,20,Low,Silica,Low,Yes,No,26.8,High,Moderate,Good,North,Middle,Tertiary,Average,Never,No,None,2018,Alive
+P100279,49,Male,Current,21,14,Medium,Silica,High,No,No,25.3,Moderate,Moderate,Poor,South,Low,Secondary,Average,Regularly,No,Stage I,2012,Alive
+P100280,48,Male,Current,33,19,Medium,Silica,Low,No,No,28.4,High,None,Good,West,Low,Primary,Poor,Regularly,No,Stage IV,2005,Deceased
+P100281,37,Male,Former,18,7,Low,Diesel Fumes,Moderate,Yes,No,28.0,Moderate,None,Good,East,Low,Secondary,Poor,Regularly,No,None,2003,Alive
+P100282,84,Female,Current,19,30,Low,None,Low,Yes,No,32.3,High,None,Good,South,Low,Primary,Average,Regularly,No,None,2005,Deceased
+P100283,31,Male,Current,13,11,High,Asbestos,Low,Yes,No,19.0,Low,Moderate,Average,West,Middle,Primary,Good,Occasionally,Yes,Stage II,2019,Deceased
+P100284,81,Male,Never,32,20,Low,Diesel Fumes,Low,No,Yes,17.2,Moderate,None,Poor,North,High,Primary,Good,Regularly,No,None,2001,Alive
+P100285,60,Female,Former,9,29,Medium,None,Low,Yes,Yes,24.7,High,None,Average,South,Middle,Secondary,Good,Regularly,No,None,2009,Alive
+P100286,69,Female,Current,15,26,Medium,Diesel Fumes,Low,No,No,21.0,High,Moderate,Average,East,Middle,Tertiary,Good,Regularly,Yes,None,2010,Alive
+P100287,44,Male,Never,3,25,Medium,Diesel Fumes,Low,No,No,29.4,Low,High,Average,West,High,Secondary,Good,Regularly,No,None,2010,Deceased
+P100288,89,Female,Current,26,32,High,Silica,Moderate,Yes,No,19.7,Low,Moderate,Poor,South,Middle,Primary,Poor,Never,Yes,None,2002,Alive
+P100289,32,Female,Current,27,25,High,None,Moderate,No,No,22.3,Moderate,High,Average,West,High,Secondary,Average,Regularly,No,None,2010,Alive
+P100290,40,Male,Current,42,25,Low,Silica,High,No,No,23.3,Moderate,High,Average,East,Low,Primary,Good,Regularly,No,None,2007,Alive
+P100291,38,Female,Never,15,35,High,Silica,Low,Yes,No,33.8,Moderate,None,Average,East,Low,Tertiary,Average,Never,No,None,2016,Alive
+P100292,39,Female,Never,32,39,High,None,High,No,No,35.5,High,None,Poor,North,Low,Tertiary,Poor,Never,No,None,2021,Alive
+P100293,56,Male,Current,47,0,Medium,Silica,Moderate,No,No,19.3,High,High,Poor,East,High,Primary,Average,Occasionally,No,Stage II,2024,Alive
+P100294,87,Female,Never,18,14,Medium,Silica,Moderate,Yes,No,14.0,Moderate,None,Good,South,Middle,Tertiary,Poor,Never,No,Stage I,2000,Alive
+P100295,75,Male,Current,20,0,Low,Asbestos,Low,Yes,No,22.1,High,High,Average,East,Low,Primary,Average,Never,No,None,2015,Alive
+P100296,49,Male,Former,21,10,Medium,None,Low,Yes,Yes,24.8,Low,None,Average,South,Low,Secondary,Average,Never,No,None,2019,Deceased
+P100297,82,Female,Never,8,1,High,None,High,No,No,24.8,High,Moderate,Poor,South,Middle,Secondary,Poor,Regularly,No,None,2006,Alive
+P100298,87,Female,Never,8,0,Low,Silica,Moderate,No,No,24.6,Moderate,High,Poor,West,Low,Tertiary,Average,Occasionally,No,Stage II,2021,Deceased
+P100299,86,Female,Former,8,30,Low,Silica,High,No,No,29.1,High,High,Average,South,Low,Tertiary,Poor,Occasionally,Yes,None,2021,Alive
+P100300,46,Male,Current,26,15,Medium,None,High,Yes,No,23.0,Low,None,Good,South,High,Primary,Average,Regularly,No,None,2024,Alive
+P100301,82,Female,Former,16,21,Medium,None,High,No,No,26.1,Moderate,Moderate,Good,North,Middle,Tertiary,Average,Occasionally,No,None,2007,Alive
+P100302,82,Male,Former,43,17,Medium,Diesel Fumes,Low,No,Yes,28.2,Moderate,None,Average,West,High,Tertiary,Good,Regularly,No,None,2012,Deceased
+P100303,73,Female,Former,44,16,Low,None,Moderate,No,No,26.1,Moderate,Moderate,Good,South,Low,Tertiary,Average,Never,Yes,None,2004,Alive
+P100304,76,Female,Former,7,29,Medium,Diesel Fumes,High,Yes,No,28.4,Moderate,None,Good,North,Low,Primary,Good,Regularly,Yes,None,2017,Alive
+P100305,66,Female,Former,15,9,High,Silica,Moderate,Yes,No,16.5,High,High,Average,West,Middle,Secondary,Good,Regularly,No,None,2011,Deceased
+P100306,39,Male,Current,17,34,Low,Asbestos,Moderate,Yes,No,25.6,Low,Moderate,Good,East,Low,Primary,Poor,Never,No,None,2015,Alive
+P100307,78,Female,Former,32,20,Medium,Asbestos,High,No,No,26.1,High,Moderate,Poor,South,High,Primary,Poor,Never,No,None,2002,Alive
+P100308,84,Female,Former,0,15,High,Diesel Fumes,High,No,No,24.2,High,None,Average,East,High,Tertiary,Average,Occasionally,No,Stage III,2011,Alive
+P100309,32,Male,Never,11,5,High,Silica,Low,Yes,Yes,22.0,Moderate,Moderate,Poor,West,Middle,Secondary,Poor,Regularly,No,None,2018,Alive
+P100310,77,Male,Current,5,2,Medium,Silica,Moderate,Yes,No,27.3,Low,None,Average,West,Middle,Primary,Good,Never,No,None,2019,Alive
+P100311,84,Female,Never,40,20,High,Silica,High,No,No,25.6,High,Moderate,Poor,North,Low,Tertiary,Average,Occasionally,No,Stage I,2017,Alive
+P100312,29,Female,Never,4,12,Low,None,High,Yes,No,24.7,Low,None,Good,South,Middle,Primary,Poor,Regularly,No,None,2007,Alive
+P100313,30,Female,Current,15,17,Low,Silica,Moderate,No,No,23.4,Low,None,Poor,South,Middle,Tertiary,Poor,Never,No,None,2023,Alive
+P100314,71,Male,Former,17,23,High,None,High,Yes,No,23.6,Low,None,Poor,North,Low,Secondary,Poor,Never,No,None,2012,Alive
+P100315,79,Male,Former,48,26,Low,Diesel Fumes,Moderate,Yes,No,21.2,Low,High,Poor,East,Low,Secondary,Good,Regularly,No,None,2007,Alive
+P100316,64,Male,Former,17,3,Medium,Asbestos,High,Yes,No,22.6,High,Moderate,Poor,West,High,Tertiary,Poor,Never,No,None,2009,Deceased
+P100317,76,Male,Current,0,21,High,Diesel Fumes,Moderate,No,No,20.3,Low,High,Poor,North,High,Primary,Average,Regularly,No,None,2013,Alive
+P100318,40,Female,Never,18,23,Low,Silica,High,Yes,No,23.1,High,High,Average,West,Middle,Primary,Average,Regularly,No,None,2014,Alive
+P100319,37,Male,Current,7,39,Medium,Silica,High,No,Yes,26.8,Low,High,Poor,East,Low,Secondary,Average,Regularly,No,Stage II,2020,Alive
+P100320,54,Male,Current,2,9,Medium,Diesel Fumes,Low,Yes,No,29.1,Low,High,Poor,East,Middle,Primary,Good,Never,No,Stage III,2014,Deceased
+P100321,43,Male,Former,24,1,Low,None,Moderate,Yes,No,24.7,High,Moderate,Average,East,High,Tertiary,Poor,Never,No,None,2005,Alive
+P100322,41,Female,Former,4,39,High,None,Low,No,No,24.6,Moderate,Moderate,Average,South,Middle,Tertiary,Average,Regularly,No,None,2013,Alive
+P100323,87,Female,Never,39,5,Medium,None,High,No,No,25.7,High,High,Good,West,High,Tertiary,Poor,Occasionally,No,None,2005,Deceased
+P100324,43,Male,Current,18,17,Medium,Asbestos,Moderate,Yes,No,29.9,Low,Moderate,Poor,West,High,Secondary,Poor,Regularly,No,None,2022,Alive
+P100325,82,Male,Former,17,16,Medium,Asbestos,Moderate,No,No,23.9,High,Moderate,Poor,North,Middle,Secondary,Average,Regularly,No,Stage I,2000,Alive
+P100326,79,Female,Former,49,37,Medium,Silica,High,Yes,No,27.3,Low,None,Good,West,High,Secondary,Good,Regularly,No,Stage II,2009,Alive
+P100327,86,Female,Former,30,22,High,Diesel Fumes,High,No,No,26.9,High,Moderate,Poor,South,High,Tertiary,Average,Occasionally,No,None,2018,Alive
+P100328,47,Female,Current,32,29,Low,Diesel Fumes,High,No,No,21.9,High,High,Good,North,Low,Secondary,Average,Never,No,None,2010,Alive
+P100329,33,Female,Former,46,20,Low,Silica,High,Yes,Yes,28.5,High,Moderate,Average,East,Middle,Tertiary,Good,Never,No,None,2002,Deceased
+P100330,36,Female,Current,17,9,Low,None,Moderate,Yes,No,14.6,Moderate,High,Poor,West,Middle,Primary,Poor,Regularly,No,Stage I,2022,Alive
+P100331,25,Female,Former,38,12,Medium,Asbestos,Low,No,No,30.3,High,Moderate,Poor,South,Middle,Secondary,Poor,Regularly,No,None,2005,Alive
+P100332,82,Female,Never,15,11,High,Diesel Fumes,Moderate,No,No,19.0,High,High,Average,South,High,Primary,Good,Never,No,None,2008,Deceased
+P100333,25,Female,Never,15,8,Low,Silica,Moderate,Yes,No,24.3,Moderate,Moderate,Poor,West,High,Primary,Average,Regularly,Yes,Stage IV,2024,Deceased
+P100334,58,Male,Former,46,3,High,None,Moderate,No,No,29.1,Moderate,Moderate,Average,South,High,Secondary,Good,Never,No,Stage III,2008,Alive
+P100335,72,Male,Never,37,38,Low,None,Moderate,No,No,22.9,Low,Moderate,Average,East,Middle,Secondary,Average,Occasionally,No,None,2003,Alive
+P100336,25,Male,Never,40,23,Medium,Asbestos,High,No,No,26.2,Low,High,Good,West,Low,Primary,Good,Regularly,Yes,None,2002,Alive
+P100337,40,Male,Current,6,33,Low,Asbestos,Low,No,No,29.2,High,None,Average,West,Middle,Primary,Poor,Never,No,None,2019,Alive
+P100338,85,Male,Current,13,38,Medium,Silica,Moderate,Yes,No,34.2,Low,High,Good,West,Middle,Primary,Good,Never,No,None,2018,Alive
+P100339,88,Male,Current,42,4,Medium,Silica,Moderate,Yes,No,24.9,High,Moderate,Average,North,Middle,Tertiary,Good,Occasionally,Yes,None,2022,Alive
+P100340,87,Female,Never,47,14,Low,None,Low,No,No,25.9,Moderate,High,Good,East,Low,Primary,Average,Regularly,No,None,2010,Alive
+P100341,46,Female,Never,24,3,High,None,High,No,No,25.2,Moderate,Moderate,Good,South,Middle,Tertiary,Average,Occasionally,Yes,None,2018,Alive
+P100342,50,Male,Never,31,38,Medium,Diesel Fumes,Moderate,Yes,No,23.9,High,Moderate,Good,West,Low,Secondary,Average,Never,No,None,2016,Alive
+P100343,40,Male,Current,37,7,High,None,High,No,Yes,18.3,Low,None,Good,West,Low,Primary,Good,Never,No,None,2007,Alive
+P100344,75,Female,Current,21,23,Low,Silica,Moderate,No,No,19.4,Low,Moderate,Poor,South,Middle,Secondary,Good,Occasionally,Yes,None,2005,Alive
+P100345,81,Female,Former,15,27,Medium,Asbestos,Moderate,No,No,24.9,Low,Moderate,Average,East,Middle,Primary,Average,Occasionally,No,None,2004,Alive
+P100346,53,Female,Never,28,26,High,Silica,Low,No,No,26.7,High,Moderate,Average,South,Middle,Secondary,Poor,Occasionally,No,None,2007,Alive
+P100347,71,Male,Former,15,0,Medium,Diesel Fumes,Low,No,No,31.3,Low,None,Average,South,High,Primary,Average,Regularly,No,Stage IV,2007,Alive
+P100348,86,Female,Former,11,33,Low,Diesel Fumes,High,Yes,Yes,24.0,Moderate,High,Average,West,Low,Tertiary,Good,Never,No,None,2002,Deceased
+P100349,40,Male,Former,16,16,Medium,Asbestos,Moderate,No,No,32.6,Moderate,None,Good,North,Middle,Secondary,Good,Regularly,Yes,None,2018,Alive
+P100350,72,Male,Current,36,36,Low,Silica,High,No,No,19.0,Moderate,High,Poor,North,Low,Secondary,Average,Regularly,No,None,2015,Alive
+P100351,63,Female,Current,26,37,High,Diesel Fumes,Low,No,No,26.1,Moderate,Moderate,Average,North,High,Primary,Average,Occasionally,No,None,2009,Alive
+P100352,57,Female,Never,24,25,Medium,Silica,Low,Yes,No,23.7,Moderate,High,Average,North,High,Tertiary,Good,Regularly,No,None,2022,Alive
+P100353,47,Male,Never,12,23,High,Diesel Fumes,Low,No,Yes,18.4,Moderate,High,Average,North,Middle,Tertiary,Good,Regularly,Yes,None,2002,Alive
+P100354,34,Female,Current,7,38,Low,Asbestos,Low,No,Yes,16.5,Moderate,High,Good,West,Low,Tertiary,Poor,Occasionally,No,None,2008,Deceased
+P100355,58,Female,Never,4,20,Low,Diesel Fumes,Low,Yes,No,22.8,Moderate,High,Average,North,High,Primary,Average,Occasionally,No,None,2007,Alive
+P100356,76,Male,Never,11,29,High,Silica,High,Yes,No,23.2,Moderate,Moderate,Average,South,High,Secondary,Average,Occasionally,No,Stage IV,2007,Alive
+P100357,34,Female,Never,40,12,High,Silica,High,Yes,Yes,20.6,High,None,Poor,West,Low,Primary,Poor,Never,Yes,None,2024,Alive
+P100358,43,Male,Never,2,36,Low,Diesel Fumes,Low,Yes,No,28.8,High,High,Good,South,High,Tertiary,Good,Never,No,None,2007,Alive
+P100359,82,Male,Former,34,2,High,None,Moderate,No,No,23.0,Moderate,Moderate,Poor,North,Low,Tertiary,Good,Regularly,Yes,None,2019,Alive
+P100360,25,Female,Current,32,31,Low,Asbestos,Moderate,No,No,20.1,Moderate,Moderate,Average,East,Middle,Secondary,Poor,Regularly,No,None,2006,Alive
+P100361,28,Male,Former,21,34,High,Asbestos,Moderate,No,No,23.8,Moderate,Moderate,Good,North,Low,Primary,Average,Never,No,Stage II,2013,Deceased
+P100362,40,Male,Former,49,18,Low,Diesel Fumes,Moderate,Yes,No,21.8,Low,Moderate,Average,West,Middle,Primary,Good,Regularly,Yes,None,2021,Alive
+P100363,48,Female,Current,43,13,Low,Diesel Fumes,Moderate,No,No,33.2,High,High,Average,South,Low,Tertiary,Poor,Occasionally,No,None,2016,Deceased
+P100364,26,Female,Former,8,21,Medium,None,Low,Yes,No,23.4,Moderate,None,Good,East,High,Secondary,Poor,Never,No,None,2011,Alive
+P100365,56,Female,Current,40,16,Low,Asbestos,High,Yes,No,20.4,High,Moderate,Poor,East,Middle,Secondary,Poor,Regularly,Yes,None,2004,Alive
+P100366,48,Male,Current,17,3,Low,None,Low,No,Yes,33.2,Moderate,None,Good,East,Low,Tertiary,Good,Regularly,No,Stage III,2001,Alive
+P100367,36,Male,Never,49,39,Medium,Asbestos,Moderate,Yes,No,28.6,Low,None,Good,South,Middle,Primary,Good,Regularly,No,None,2024,Alive
+P100368,74,Female,Current,28,18,Medium,Diesel Fumes,Moderate,Yes,No,25.5,Moderate,None,Poor,West,Low,Primary,Poor,Never,No,None,2014,Deceased
+P100369,59,Male,Former,38,36,High,Asbestos,High,No,No,21.0,High,Moderate,Good,East,Low,Secondary,Poor,Never,Yes,None,2010,Alive
+P100370,57,Female,Current,26,1,High,Asbestos,Low,No,No,28.8,High,Moderate,Poor,South,Middle,Secondary,Good,Never,No,None,2014,Deceased
+P100371,57,Female,Former,35,14,Low,Asbestos,High,Yes,No,17.7,High,Moderate,Poor,South,Middle,Tertiary,Good,Occasionally,No,None,2012,Alive
+P100372,85,Male,Current,44,1,High,None,Moderate,No,No,28.5,High,None,Good,North,Middle,Secondary,Good,Regularly,No,None,2018,Alive
+P100373,75,Female,Current,16,10,High,None,Moderate,No,No,26.3,Moderate,Moderate,Good,South,High,Primary,Good,Regularly,Yes,None,2011,Alive
+P100374,67,Male,Never,33,22,Low,Asbestos,High,Yes,No,30.0,Low,Moderate,Poor,West,Low,Primary,Good,Occasionally,No,None,2014,Alive
+P100375,36,Male,Former,45,9,Medium,Silica,Moderate,Yes,No,13.2,Low,None,Poor,West,Low,Secondary,Poor,Never,No,None,2011,Alive
+P100376,89,Female,Current,2,2,Medium,None,Low,No,No,20.4,Moderate,Moderate,Poor,East,Middle,Tertiary,Good,Never,No,None,2022,Alive
+P100377,57,Male,Current,4,4,Low,Diesel Fumes,Moderate,No,No,20.0,Moderate,High,Poor,South,Low,Primary,Good,Never,Yes,Stage III,2017,Alive
+P100378,64,Female,Never,13,2,Low,Diesel Fumes,Moderate,Yes,No,19.4,High,High,Poor,South,Low,Primary,Poor,Occasionally,Yes,None,2022,Alive
+P100379,67,Male,Current,2,37,Low,Asbestos,Low,No,No,27.1,Moderate,High,Good,North,Low,Tertiary,Poor,Regularly,No,None,2003,Deceased
+P100380,68,Male,Former,22,12,Low,Diesel Fumes,Moderate,Yes,No,23.5,Low,High,Average,North,Middle,Secondary,Average,Occasionally,No,Stage I,2010,Alive
+P100381,53,Male,Never,38,18,Low,None,High,Yes,No,20.6,Moderate,None,Good,South,Low,Primary,Good,Regularly,No,None,2021,Alive
+P100382,37,Female,Former,29,39,Low,Silica,High,No,No,19.5,Moderate,Moderate,Average,South,Low,Primary,Average,Regularly,No,None,2014,Deceased
+P100383,36,Male,Never,49,34,High,Silica,Moderate,No,No,20.2,Low,High,Poor,South,High,Tertiary,Average,Regularly,No,None,2024,Alive
+P100384,70,Female,Current,44,23,High,Silica,Low,No,Yes,29.3,Low,High,Good,North,High,Secondary,Poor,Occasionally,Yes,None,2023,Alive
+P100385,26,Male,Former,22,23,High,Diesel Fumes,Low,No,No,24.7,Moderate,Moderate,Average,North,Middle,Tertiary,Poor,Never,No,None,2024,Alive
+P100386,59,Male,Current,26,16,Medium,Asbestos,High,No,No,29.2,High,None,Poor,West,Low,Tertiary,Average,Never,No,None,2004,Alive
+P100387,32,Female,Never,9,39,Low,Diesel Fumes,Moderate,Yes,No,38.3,High,High,Good,East,Low,Secondary,Average,Occasionally,No,Stage IV,2004,Alive
+P100388,50,Female,Former,24,9,Low,Asbestos,Low,No,No,24.9,High,Moderate,Average,East,High,Primary,Average,Regularly,No,None,2019,Alive
+P100389,58,Female,Never,12,1,High,Silica,Low,Yes,No,17.9,Low,Moderate,Good,East,Middle,Tertiary,Average,Occasionally,No,None,2024,Alive
+P100390,31,Female,Never,15,22,Medium,None,High,No,No,24.3,Low,High,Average,East,Middle,Primary,Good,Never,No,None,2009,Alive
+P100391,82,Female,Never,40,5,High,Diesel Fumes,High,Yes,No,34.4,High,High,Good,North,Low,Primary,Average,Occasionally,No,None,2023,Alive
+P100392,53,Male,Never,33,1,Low,None,Low,No,No,30.4,Moderate,Moderate,Good,North,High,Primary,Poor,Regularly,No,None,2021,Alive
+P100393,60,Male,Former,36,20,Low,Silica,High,No,No,21.8,Moderate,Moderate,Average,South,High,Primary,Average,Never,No,None,2009,Alive
+P100394,45,Female,Never,21,34,High,Asbestos,Low,Yes,No,23.5,Moderate,High,Good,West,High,Tertiary,Average,Regularly,No,None,2021,Alive
+P100395,60,Male,Former,16,28,High,None,Moderate,No,No,28.9,Low,High,Good,West,Low,Secondary,Poor,Occasionally,No,None,2005,Alive
+P100396,34,Male,Former,22,6,Low,Diesel Fumes,High,No,No,27.4,Low,High,Poor,East,Low,Primary,Average,Regularly,No,Stage II,2005,Alive
+P100397,48,Male,Current,35,28,High,None,High,Yes,No,28.9,High,High,Average,South,Low,Primary,Poor,Occasionally,Yes,None,2022,Alive
+P100398,88,Female,Current,48,36,Low,None,Moderate,Yes,No,23.8,Moderate,None,Good,South,High,Primary,Good,Never,Yes,None,2005,Deceased
+P100399,73,Male,Former,8,22,High,Diesel Fumes,Low,Yes,No,26.9,Low,Moderate,Average,North,Middle,Secondary,Good,Never,No,None,2023,Alive
+P100400,60,Male,Former,1,32,Medium,Asbestos,Low,No,No,23.5,Low,High,Good,South,Low,Primary,Poor,Never,No,Stage I,2006,Deceased
+P100401,48,Male,Never,31,7,Low,Diesel Fumes,High,Yes,No,32.0,High,Moderate,Average,West,Low,Secondary,Good,Regularly,No,Stage III,2017,Alive
+P100402,47,Female,Current,49,11,Medium,Silica,Low,Yes,No,17.4,Moderate,High,Average,West,Middle,Tertiary,Good,Occasionally,No,Stage IV,2003,Deceased
+P100403,86,Male,Never,21,9,High,Asbestos,Low,No,No,17.4,Low,None,Poor,South,Middle,Secondary,Good,Occasionally,No,Stage IV,2013,Alive
+P100404,61,Male,Never,42,14,Medium,None,Moderate,No,No,21.4,Low,Moderate,Poor,North,High,Primary,Poor,Occasionally,Yes,Stage IV,2010,Alive
+P100405,36,Female,Never,12,23,High,Diesel Fumes,Moderate,No,No,21.6,Low,None,Average,West,Low,Tertiary,Average,Regularly,No,None,2006,Alive
+P100406,79,Female,Former,7,25,Medium,Silica,Moderate,No,No,17.4,Low,Moderate,Good,North,High,Secondary,Good,Occasionally,No,None,2017,Alive
+P100407,37,Male,Never,0,38,Medium,Diesel Fumes,High,No,No,16.5,Moderate,None,Average,North,Low,Primary,Average,Never,Yes,None,2019,Alive
+P100408,47,Male,Current,16,2,Medium,Asbestos,Moderate,No,No,30.3,High,High,Good,West,High,Tertiary,Average,Occasionally,No,None,2001,Alive
+P100409,54,Female,Never,11,1,Low,Silica,Moderate,Yes,No,24.2,Moderate,High,Average,North,High,Tertiary,Good,Regularly,Yes,None,2001,Alive
+P100410,41,Female,Current,3,5,Medium,None,Low,Yes,No,23.8,High,None,Poor,East,Middle,Secondary,Good,Never,No,Stage I,2006,Alive
+P100411,86,Female,Never,12,20,High,Asbestos,Moderate,No,No,25.3,Low,High,Poor,East,Low,Primary,Average,Never,No,None,2010,Alive
+P100412,37,Female,Never,30,8,High,Silica,High,Yes,Yes,33.0,Moderate,None,Good,East,Middle,Secondary,Good,Regularly,No,Stage II,2017,Alive
+P100413,83,Female,Current,40,9,Low,Asbestos,Moderate,Yes,Yes,25.6,High,None,Average,South,Middle,Tertiary,Poor,Never,No,None,2019,Deceased
+P100414,43,Female,Never,6,35,Low,None,High,Yes,No,24.4,High,Moderate,Good,West,Middle,Tertiary,Poor,Occasionally,Yes,None,2006,Alive
+P100415,73,Female,Current,22,2,High,Silica,Low,Yes,No,21.8,Low,None,Poor,East,Low,Primary,Good,Regularly,No,None,2021,Alive
+P100416,36,Male,Former,23,23,Medium,Diesel Fumes,Low,No,No,28.0,High,Moderate,Average,North,High,Tertiary,Average,Occasionally,No,Stage I,2019,Alive
+P100417,85,Female,Never,4,21,High,Diesel Fumes,Moderate,No,No,24.7,High,None,Poor,East,High,Primary,Good,Regularly,No,None,2024,Alive
+P100418,43,Female,Current,4,13,Low,None,Low,Yes,No,33.3,High,Moderate,Poor,North,Low,Secondary,Poor,Regularly,No,None,2004,Alive
+P100419,33,Male,Never,16,26,Low,Silica,Moderate,No,No,24.2,Low,Moderate,Average,West,Low,Tertiary,Average,Regularly,No,None,2001,Alive
+P100420,52,Female,Current,29,32,High,None,Low,Yes,No,30.0,Moderate,High,Good,East,High,Tertiary,Good,Occasionally,Yes,None,2013,Alive
+P100421,76,Female,Never,8,21,Medium,None,High,Yes,No,21.4,Low,Moderate,Average,West,High,Primary,Poor,Regularly,No,Stage II,2006,Alive
+P100422,40,Male,Current,5,28,Medium,Asbestos,Low,No,No,21.4,High,Moderate,Poor,East,Middle,Primary,Average,Never,No,None,2009,Alive
+P100423,36,Female,Never,24,18,Low,Diesel Fumes,Moderate,Yes,No,15.9,High,None,Poor,North,High,Secondary,Poor,Occasionally,No,None,2017,Alive
+P100424,49,Male,Former,18,18,High,None,Moderate,No,No,29.0,Moderate,Moderate,Poor,North,Middle,Primary,Good,Regularly,Yes,None,2007,Alive
+P100425,76,Male,Current,15,5,High,Asbestos,Moderate,No,No,24.8,High,High,Poor,South,High,Tertiary,Good,Regularly,No,Stage II,2022,Alive
+P100426,77,Male,Current,20,18,Low,None,High,No,No,28.2,Moderate,None,Good,South,High,Secondary,Poor,Occasionally,Yes,None,2015,Alive
+P100427,47,Male,Current,1,12,High,None,Low,No,No,33.5,High,Moderate,Average,South,High,Secondary,Poor,Never,No,None,2013,Deceased
+P100428,40,Female,Current,9,25,Low,None,Moderate,No,No,20.8,High,None,Average,East,Middle,Secondary,Poor,Never,No,Stage I,2008,Alive
+P100429,81,Male,Current,15,21,Medium,Diesel Fumes,High,No,No,20.0,Low,None,Good,West,Middle,Primary,Poor,Regularly,No,None,2005,Alive
+P100430,63,Male,Never,36,20,Medium,Silica,High,No,No,21.1,Low,None,Good,East,High,Primary,Poor,Regularly,Yes,None,2006,Alive
+P100431,77,Female,Never,14,35,High,Diesel Fumes,High,No,No,14.5,Moderate,None,Poor,North,Middle,Tertiary,Average,Never,No,None,2008,Alive
+P100432,66,Male,Never,12,1,Medium,Asbestos,Low,No,No,24.0,Low,None,Average,West,Middle,Secondary,Good,Regularly,No,Stage I,2006,Alive
+P100433,82,Male,Former,12,29,Medium,Silica,Low,Yes,No,29.4,Moderate,Moderate,Average,North,Middle,Secondary,Average,Never,No,None,2008,Alive
+P100434,63,Male,Former,31,26,Low,Asbestos,Low,No,No,25.2,Low,None,Average,South,Middle,Secondary,Poor,Never,No,Stage IV,2023,Alive
+P100435,38,Male,Former,44,6,Low,None,High,Yes,No,17.1,Moderate,None,Good,North,Low,Tertiary,Average,Never,Yes,None,2020,Alive
+P100436,29,Female,Never,46,19,High,Silica,Low,No,No,23.2,High,High,Poor,East,Middle,Primary,Good,Never,No,None,2006,Alive
+P100437,59,Male,Current,45,30,Low,Asbestos,Moderate,Yes,Yes,25.6,Moderate,High,Poor,North,High,Secondary,Poor,Regularly,No,None,2011,Alive
+P100438,42,Female,Never,7,22,High,None,High,No,No,29.8,Low,None,Average,North,Middle,Primary,Poor,Occasionally,Yes,Stage I,2022,Alive
+P100439,33,Female,Former,42,12,High,Asbestos,Low,No,No,29.0,Moderate,Moderate,Poor,North,High,Primary,Good,Occasionally,No,None,2016,Deceased
+P100440,82,Male,Former,17,16,Low,Asbestos,High,No,No,23.3,Low,High,Good,West,Middle,Primary,Average,Never,No,None,2019,Alive
+P100441,41,Male,Current,35,3,Medium,Diesel Fumes,High,Yes,No,23.3,High,High,Good,North,High,Primary,Good,Regularly,No,None,2020,Alive
+P100442,31,Male,Current,25,13,Medium,None,Low,Yes,No,28.0,Low,None,Average,North,Low,Primary,Good,Occasionally,No,None,2011,Alive
+P100443,70,Male,Current,9,19,Medium,Diesel Fumes,High,No,No,22.0,High,Moderate,Poor,South,High,Tertiary,Average,Occasionally,No,None,2021,Alive
+P100444,37,Female,Never,30,12,Medium,Silica,Low,Yes,No,29.3,High,Moderate,Good,South,Middle,Primary,Average,Never,No,None,2022,Alive
+P100445,64,Female,Former,32,2,High,None,Low,No,No,21.7,Low,High,Good,East,Middle,Secondary,Poor,Never,No,None,2004,Deceased
+P100446,66,Female,Never,28,25,Medium,Diesel Fumes,Low,Yes,No,32.8,High,High,Good,South,High,Secondary,Poor,Regularly,No,None,2017,Alive
+P100447,33,Male,Former,4,25,High,Diesel Fumes,High,Yes,No,26.2,Low,High,Good,North,Low,Secondary,Poor,Occasionally,No,None,2004,Alive
+P100448,74,Female,Former,12,17,Low,Silica,High,Yes,No,15.2,Moderate,High,Poor,South,Middle,Tertiary,Good,Never,No,None,2004,Alive
+P100449,51,Male,Never,0,31,Low,Asbestos,Low,No,No,28.2,High,High,Good,West,Middle,Primary,Average,Never,No,None,2006,Alive
+P100450,29,Male,Never,22,13,High,Asbestos,High,Yes,No,26.3,Moderate,None,Good,East,High,Secondary,Average,Regularly,No,None,2002,Alive
+P100451,53,Male,Current,39,2,Medium,Asbestos,Low,Yes,Yes,27.4,Moderate,None,Poor,South,High,Secondary,Poor,Never,No,None,2000,Alive
+P100452,61,Male,Current,2,0,High,Silica,Moderate,No,No,36.3,Low,None,Average,East,Low,Secondary,Good,Never,No,None,2005,Alive
+P100453,62,Male,Former,2,25,Medium,Diesel Fumes,High,No,No,23.7,Low,High,Average,East,High,Primary,Good,Never,Yes,None,2006,Alive
+P100454,32,Female,Never,6,23,Medium,None,High,Yes,Yes,17.2,High,None,Good,East,Middle,Secondary,Average,Never,No,None,2007,Alive
+P100455,89,Female,Never,35,34,High,Silica,Moderate,Yes,No,31.3,Low,High,Average,West,High,Primary,Average,Never,No,None,2013,Alive
+P100456,41,Male,Former,34,13,High,Asbestos,Moderate,No,No,16.1,Moderate,Moderate,Poor,North,Low,Secondary,Average,Regularly,Yes,None,2022,Alive
+P100457,69,Female,Current,14,2,Medium,Asbestos,Moderate,No,No,21.3,Moderate,Moderate,Good,West,Low,Secondary,Average,Never,No,None,2014,Alive
+P100458,28,Male,Never,39,12,High,None,Low,No,No,25.2,Moderate,None,Poor,East,Middle,Primary,Good,Occasionally,No,None,2006,Alive
+P100459,60,Male,Current,2,13,Medium,Silica,Low,No,No,20.5,High,Moderate,Average,South,High,Secondary,Poor,Never,No,None,2006,Deceased
+P100460,55,Male,Never,28,20,High,Asbestos,Moderate,No,No,24.7,Low,Moderate,Average,South,Middle,Tertiary,Average,Never,No,None,2000,Alive
+P100461,43,Female,Current,29,25,Low,Silica,Low,Yes,No,24.3,Moderate,Moderate,Good,West,Low,Primary,Average,Occasionally,No,None,2008,Alive
+P100462,85,Male,Former,38,2,Medium,Diesel Fumes,High,No,No,32.7,High,None,Average,South,Low,Secondary,Average,Occasionally,Yes,None,2024,Alive
+P100463,78,Male,Current,17,39,Low,Silica,Moderate,No,Yes,12.9,Low,Moderate,Good,East,High,Tertiary,Good,Never,No,None,2006,Alive
+P100464,63,Female,Former,10,3,High,Diesel Fumes,High,Yes,No,25.4,Low,None,Good,East,High,Tertiary,Poor,Regularly,No,None,2024,Alive
+P100465,43,Female,Current,42,35,Low,None,Low,No,No,20.4,Moderate,High,Poor,North,Middle,Primary,Good,Occasionally,No,None,2019,Alive
+P100466,63,Female,Never,48,0,High,Diesel Fumes,Moderate,No,No,22.2,High,High,Average,East,Low,Secondary,Poor,Regularly,No,None,2006,Alive
+P100467,69,Male,Never,37,39,Medium,Diesel Fumes,Low,No,No,28.4,Moderate,None,Average,South,Middle,Primary,Good,Never,Yes,None,2017,Alive
+P100468,37,Male,Current,39,32,High,None,High,Yes,No,27.6,Moderate,None,Good,North,Middle,Tertiary,Average,Never,No,None,2013,Alive
+P100469,82,Female,Current,0,6,High,Asbestos,Low,No,No,26.7,High,Moderate,Good,South,Middle,Tertiary,Average,Occasionally,No,Stage III,2021,Deceased
+P100470,44,Male,Current,28,10,Medium,None,High,No,No,18.7,Moderate,High,Good,West,Low,Primary,Poor,Occasionally,No,Stage IV,2014,Alive
+P100471,85,Female,Current,9,26,High,Silica,Low,No,No,30.9,High,Moderate,Good,North,High,Primary,Good,Regularly,Yes,Stage I,2017,Alive
+P100472,63,Female,Current,27,13,Medium,None,High,No,No,20.6,High,High,Poor,East,Low,Secondary,Poor,Never,No,None,2009,Alive
+P100473,25,Male,Never,30,21,High,Silica,Low,Yes,No,31.9,Moderate,Moderate,Average,North,Middle,Tertiary,Good,Occasionally,No,Stage III,2002,Deceased
+P100474,27,Male,Former,18,15,Medium,Asbestos,Moderate,Yes,No,21.8,Moderate,Moderate,Poor,East,Low,Primary,Average,Occasionally,No,None,2010,Alive
+P100475,86,Female,Former,2,11,Low,Silica,Moderate,No,No,30.2,Low,High,Average,East,Middle,Tertiary,Poor,Occasionally,No,None,2000,Alive
+P100476,87,Female,Current,35,9,High,None,Low,No,No,25.5,Low,Moderate,Poor,South,Middle,Primary,Poor,Regularly,No,None,2022,Deceased
+P100477,49,Female,Former,42,23,High,None,High,No,No,16.6,High,High,Good,East,High,Secondary,Average,Never,No,None,2001,Alive
+P100478,80,Female,Never,14,17,High,Asbestos,Low,No,No,23.2,High,None,Poor,East,Middle,Tertiary,Average,Occasionally,No,None,2015,Alive
+P100479,57,Male,Former,32,21,Medium,None,Moderate,No,No,33.5,High,Moderate,Poor,East,Low,Secondary,Average,Occasionally,No,None,2002,Deceased
+P100480,62,Female,Current,40,8,High,Asbestos,High,No,Yes,29.1,Low,High,Good,South,High,Secondary,Average,Occasionally,No,None,2016,Alive
+P100481,30,Female,Former,42,16,Medium,Asbestos,Low,No,No,22.8,Moderate,High,Good,East,High,Tertiary,Average,Never,No,None,2002,Alive
+P100482,82,Female,Never,44,37,High,None,Low,Yes,No,31.5,Moderate,Moderate,Average,West,High,Primary,Average,Regularly,Yes,None,2010,Deceased
+P100483,68,Male,Never,25,39,Low,Diesel Fumes,High,No,No,26.4,Low,High,Average,South,High,Secondary,Good,Regularly,No,None,2003,Alive
+P100484,69,Male,Never,15,12,High,Silica,Low,Yes,No,33.2,Moderate,Moderate,Poor,West,High,Secondary,Good,Never,No,None,2006,Alive
+P100485,56,Female,Never,35,36,Low,Diesel Fumes,Moderate,Yes,No,24.6,Moderate,Moderate,Poor,North,Low,Tertiary,Poor,Regularly,Yes,None,2021,Alive
+P100486,69,Male,Current,32,5,Medium,Asbestos,Moderate,No,No,23.5,Moderate,None,Poor,South,Middle,Tertiary,Good,Regularly,No,None,2015,Alive
+P100487,85,Male,Current,19,20,Low,Silica,High,Yes,No,29.9,Low,None,Good,West,Middle,Tertiary,Poor,Occasionally,No,None,2016,Alive
+P100488,71,Male,Current,12,35,High,Diesel Fumes,Low,Yes,No,26.3,High,None,Average,South,Middle,Secondary,Good,Regularly,No,None,2010,Alive
+P100489,45,Female,Former,32,6,High,None,Low,Yes,No,27.8,Moderate,Moderate,Poor,East,Middle,Primary,Good,Occasionally,Yes,None,2003,Alive
+P100490,60,Female,Current,4,35,Medium,Diesel Fumes,Moderate,No,No,20.7,Moderate,Moderate,Average,South,High,Primary,Average,Regularly,No,None,2024,Alive
+P100491,43,Male,Never,36,24,High,Silica,High,Yes,No,30.9,High,High,Average,North,Middle,Tertiary,Good,Occasionally,No,Stage I,2002,Alive
+P100492,44,Female,Former,13,10,High,Silica,High,Yes,No,29.9,Moderate,None,Good,West,Middle,Secondary,Good,Never,No,None,2021,Alive
+P100493,81,Female,Current,26,13,Medium,Silica,High,No,No,31.8,Moderate,None,Good,South,High,Secondary,Good,Never,No,None,2015,Alive
+P100494,42,Male,Never,22,28,Medium,Silica,Moderate,No,No,18.2,High,High,Poor,East,High,Secondary,Average,Regularly,Yes,None,2001,Deceased
+P100495,71,Male,Never,13,9,Low,Diesel Fumes,Moderate,Yes,Yes,19.2,Low,None,Poor,West,High,Tertiary,Average,Occasionally,No,Stage II,2004,Alive
+P100496,73,Female,Current,39,4,Medium,None,High,No,No,21.3,Low,None,Poor,West,Middle,Secondary,Good,Never,No,None,2024,Alive
+P100497,38,Male,Former,3,7,High,None,High,No,No,23.8,Moderate,None,Poor,West,High,Secondary,Poor,Never,No,None,2017,Alive
+P100498,39,Female,Current,38,4,Medium,Silica,Low,Yes,No,18.3,Moderate,High,Poor,North,High,Primary,Good,Regularly,No,None,2002,Alive
+P100499,55,Female,Never,18,23,High,None,Low,Yes,Yes,28.2,High,None,Average,East,Low,Tertiary,Average,Occasionally,No,None,2001,Alive
+P100500,25,Male,Current,46,39,Low,Diesel Fumes,High,Yes,No,22.8,High,Moderate,Average,East,Low,Tertiary,Average,Occasionally,No,None,2001,Deceased
+P100501,78,Female,Former,3,25,Medium,None,Moderate,No,Yes,31.3,Moderate,None,Good,West,Middle,Tertiary,Poor,Never,No,None,2021,Alive
+P100502,27,Female,Never,29,5,High,Asbestos,Moderate,Yes,No,35.5,Moderate,Moderate,Good,South,High,Secondary,Average,Regularly,No,None,2021,Alive
+P100503,40,Male,Current,18,15,Medium,None,Low,Yes,No,22.0,Low,None,Average,West,Middle,Secondary,Average,Never,No,None,2020,Alive
+P100504,81,Male,Never,30,35,Medium,Silica,High,No,No,21.2,Low,Moderate,Good,East,Low,Primary,Good,Never,No,None,2001,Alive
+P100505,36,Male,Former,30,11,Medium,None,Moderate,No,No,28.7,Low,None,Good,North,Low,Tertiary,Poor,Regularly,Yes,None,2015,Alive
+P100506,40,Female,Never,8,10,Medium,None,Moderate,No,No,25.5,Low,Moderate,Poor,North,High,Secondary,Average,Regularly,No,None,2000,Alive
+P100507,48,Male,Never,12,2,Low,None,Moderate,No,No,26.8,High,Moderate,Good,West,Middle,Primary,Average,Regularly,No,None,2018,Deceased
+P100508,52,Male,Never,13,36,High,None,Moderate,Yes,No,31.6,Low,None,Good,North,Low,Secondary,Good,Occasionally,No,None,2018,Alive
+P100509,32,Male,Never,45,5,Medium,Asbestos,Low,Yes,No,23.6,Low,High,Good,North,High,Secondary,Good,Regularly,Yes,None,2008,Alive
+P100510,60,Male,Current,9,18,High,Diesel Fumes,Moderate,Yes,No,19.7,Moderate,None,Average,South,Middle,Tertiary,Good,Regularly,No,None,2019,Deceased
+P100511,32,Female,Never,47,17,Low,Silica,Moderate,No,No,18.8,Low,High,Average,North,High,Tertiary,Good,Never,Yes,None,2008,Alive
+P100512,82,Female,Former,30,15,High,Silica,High,Yes,No,24.1,Moderate,High,Poor,South,High,Secondary,Poor,Regularly,No,None,2010,Alive
+P100513,84,Male,Never,36,22,High,None,High,No,No,23.2,Moderate,High,Good,West,Low,Secondary,Good,Regularly,No,None,2000,Alive
+P100514,74,Female,Former,22,36,Low,Diesel Fumes,Low,No,Yes,29.3,Low,High,Average,East,Middle,Secondary,Poor,Never,No,None,2018,Alive
+P100515,52,Male,Current,26,8,Medium,None,Low,No,No,32.0,Low,High,Poor,East,Low,Secondary,Average,Occasionally,Yes,Stage II,2016,Alive
+P100516,65,Male,Never,5,2,High,Asbestos,Low,Yes,No,31.9,Moderate,High,Good,South,Middle,Secondary,Average,Regularly,No,None,2005,Alive
+P100517,88,Female,Current,25,7,High,Diesel Fumes,Low,No,No,21.5,High,None,Poor,East,Middle,Tertiary,Good,Never,No,None,2000,Alive
+P100518,51,Female,Never,1,37,Medium,Diesel Fumes,Moderate,Yes,No,21.0,Moderate,Moderate,Poor,West,High,Tertiary,Good,Occasionally,No,None,2017,Alive
+P100519,87,Male,Current,44,3,Medium,Diesel Fumes,High,Yes,No,15.9,High,Moderate,Good,East,High,Secondary,Good,Occasionally,No,None,2008,Alive
+P100520,41,Male,Former,12,11,High,Diesel Fumes,Moderate,Yes,No,25.0,High,None,Average,North,Middle,Secondary,Average,Regularly,No,None,2000,Alive
+P100521,57,Female,Current,49,30,Low,None,Moderate,No,No,29.4,Low,None,Good,West,High,Tertiary,Average,Occasionally,No,Stage IV,2003,Deceased
+P100522,53,Male,Former,18,24,Medium,Asbestos,Moderate,Yes,No,21.5,Low,None,Good,West,Low,Secondary,Average,Regularly,No,None,2021,Deceased
+P100523,37,Female,Former,0,15,Medium,Diesel Fumes,High,Yes,No,17.6,Low,High,Good,East,Middle,Tertiary,Poor,Occasionally,No,None,2017,Alive
+P100524,70,Male,Never,39,13,Low,Silica,Low,No,No,34.4,Low,High,Average,East,Low,Tertiary,Average,Occasionally,No,None,2016,Deceased
+P100525,59,Male,Never,31,12,High,Silica,Low,Yes,No,21.5,Moderate,Moderate,Good,South,High,Tertiary,Good,Occasionally,No,None,2019,Deceased
+P100526,30,Female,Current,21,6,Medium,Asbestos,High,No,No,24.4,High,None,Average,North,Middle,Tertiary,Poor,Regularly,No,None,2018,Deceased
+P100527,71,Female,Former,47,11,High,Silica,High,Yes,Yes,22.7,Moderate,Moderate,Poor,East,High,Primary,Poor,Occasionally,No,None,2022,Alive
+P100528,49,Female,Former,28,36,High,None,Low,No,No,18.3,High,Moderate,Average,East,Low,Secondary,Poor,Never,No,None,2022,Alive
+P100529,34,Female,Current,1,3,High,None,Moderate,No,No,29.5,Moderate,High,Poor,South,Middle,Secondary,Average,Never,No,Stage I,2013,Alive
+P100530,80,Female,Former,39,1,Low,Asbestos,Low,No,No,16.3,High,High,Poor,East,High,Secondary,Average,Occasionally,No,None,2006,Alive
+P100531,54,Female,Current,37,34,High,Diesel Fumes,High,No,No,30.6,Low,Moderate,Good,North,Low,Tertiary,Average,Regularly,No,None,2008,Deceased
+P100532,29,Female,Current,47,2,High,Silica,Low,No,No,26.3,High,High,Average,North,Low,Tertiary,Average,Never,No,None,2024,Alive
+P100533,57,Male,Former,10,3,Medium,Silica,Low,Yes,No,23.7,Low,High,Poor,West,High,Tertiary,Good,Occasionally,No,None,2019,Alive
+P100534,89,Male,Current,16,37,Medium,Asbestos,Low,Yes,No,23.7,High,High,Poor,West,Middle,Secondary,Poor,Never,No,None,2008,Alive
+P100535,42,Male,Never,42,11,Low,Asbestos,High,Yes,No,27.3,Moderate,Moderate,Average,North,High,Tertiary,Poor,Never,No,None,2014,Alive
+P100536,73,Female,Never,7,18,Low,Silica,High,Yes,Yes,21.8,High,Moderate,Average,South,Middle,Primary,Poor,Never,No,Stage III,2010,Alive
+P100537,35,Female,Former,21,9,Medium,Diesel Fumes,Low,No,No,25.9,Moderate,Moderate,Poor,West,Low,Secondary,Poor,Never,Yes,None,2006,Deceased
+P100538,50,Female,Never,3,0,Medium,Asbestos,Low,No,No,20.6,Moderate,None,Poor,North,Low,Primary,Poor,Never,No,Stage I,2005,Alive
+P100539,87,Male,Current,10,16,Low,None,Moderate,Yes,No,14.2,Low,Moderate,Average,North,Low,Primary,Good,Occasionally,No,None,2008,Alive
+P100540,83,Female,Current,7,15,High,Silica,Moderate,No,No,28.1,High,High,Average,West,High,Secondary,Good,Never,No,None,2003,Alive
+P100541,51,Female,Former,8,8,Low,Asbestos,Low,Yes,No,37.2,Moderate,Moderate,Poor,North,High,Primary,Poor,Occasionally,No,Stage III,2016,Alive
+P100542,73,Male,Former,25,8,High,Asbestos,High,No,No,27.8,High,None,Good,North,High,Primary,Poor,Never,No,None,2005,Alive
+P100543,57,Female,Current,1,8,Medium,Asbestos,Moderate,No,No,24.8,Low,High,Average,North,Low,Tertiary,Average,Regularly,No,Stage I,2016,Alive
+P100544,25,Male,Former,15,11,Medium,Silica,Low,Yes,No,23.0,Low,Moderate,Poor,North,Middle,Primary,Poor,Occasionally,No,None,2024,Alive
+P100545,45,Male,Former,30,14,Medium,None,Moderate,Yes,No,23.2,High,Moderate,Poor,West,High,Tertiary,Good,Regularly,No,None,2013,Alive
+P100546,79,Female,Former,5,1,High,None,Moderate,No,No,23.0,Moderate,High,Good,South,High,Primary,Average,Regularly,No,None,2004,Alive
+P100547,30,Female,Current,20,10,Low,Silica,Moderate,Yes,No,26.0,Moderate,Moderate,Average,North,High,Secondary,Good,Never,No,None,2017,Alive
+P100548,29,Female,Former,25,10,High,Asbestos,High,Yes,No,13.1,Moderate,None,Poor,East,Low,Secondary,Average,Never,No,Stage I,2007,Alive
+P100549,27,Male,Current,18,7,Low,Silica,Low,Yes,No,12.2,High,High,Good,South,Middle,Secondary,Average,Never,No,Stage II,2009,Alive
+P100550,77,Male,Current,27,31,Low,Silica,High,Yes,No,27.3,Moderate,Moderate,Average,East,Middle,Secondary,Poor,Never,No,None,2010,Alive
+P100551,47,Male,Former,7,5,Low,Asbestos,High,No,Yes,24.0,Moderate,High,Good,East,Middle,Tertiary,Good,Never,No,None,2021,Alive
+P100552,77,Female,Former,13,19,Medium,Silica,Moderate,No,No,20.1,Moderate,Moderate,Poor,North,High,Primary,Good,Regularly,Yes,None,2002,Alive
+P100553,61,Female,Current,23,38,Low,Diesel Fumes,Low,No,No,19.9,Low,Moderate,Good,West,High,Primary,Poor,Regularly,No,None,2001,Alive
+P100554,41,Female,Former,47,34,Medium,None,Moderate,No,No,22.2,Moderate,High,Poor,East,Middle,Secondary,Average,Never,No,Stage IV,2013,Alive
+P100555,25,Female,Current,43,7,Low,Diesel Fumes,High,Yes,No,22.9,High,Moderate,Poor,East,Low,Tertiary,Average,Never,No,None,2003,Deceased
+P100556,75,Male,Current,36,33,Low,Diesel Fumes,High,Yes,No,32.1,High,Moderate,Good,East,Middle,Tertiary,Good,Occasionally,No,None,2016,Alive
+P100557,69,Male,Current,25,18,Medium,Diesel Fumes,Low,Yes,No,19.6,Moderate,High,Good,North,High,Secondary,Poor,Occasionally,No,None,2016,Alive
+P100558,28,Male,Current,30,6,Medium,Silica,High,No,Yes,28.8,High,Moderate,Poor,North,Middle,Primary,Poor,Regularly,No,None,2020,Alive
+P100559,86,Male,Current,31,30,High,Asbestos,High,No,No,28.0,High,Moderate,Good,West,Middle,Secondary,Good,Regularly,No,None,2008,Alive
+P100560,89,Female,Current,49,17,Low,Silica,Low,No,No,24.0,Moderate,High,Average,North,Middle,Primary,Average,Regularly,Yes,None,2020,Deceased
+P100561,56,Female,Former,40,39,Medium,None,Moderate,No,Yes,28.8,Low,None,Average,South,Low,Secondary,Average,Never,Yes,Stage III,2021,Alive
+P100562,58,Female,Never,1,13,High,Silica,Low,Yes,No,27.2,Moderate,None,Good,West,High,Primary,Poor,Regularly,No,None,2008,Alive
+P100563,63,Male,Former,24,38,High,Silica,High,Yes,No,18.7,High,None,Good,North,High,Tertiary,Average,Regularly,Yes,None,2002,Alive
+P100564,50,Male,Current,43,35,Medium,Silica,Low,Yes,No,22.0,High,None,Average,North,Middle,Secondary,Average,Regularly,No,Stage II,2003,Alive
+P100565,58,Female,Former,1,16,Low,Silica,Moderate,No,No,26.9,Moderate,None,Poor,East,High,Primary,Average,Occasionally,No,Stage II,2001,Alive
+P100566,78,Female,Current,41,36,High,Diesel Fumes,High,No,No,22.0,High,None,Poor,North,Low,Primary,Good,Regularly,No,None,2013,Alive
+P100567,27,Male,Former,0,8,Low,Asbestos,Moderate,No,No,28.1,Low,High,Average,East,Middle,Primary,Poor,Regularly,No,None,2019,Alive
+P100568,74,Female,Current,35,19,Low,None,Moderate,No,No,30.8,Moderate,High,Poor,North,Low,Primary,Good,Occasionally,No,None,2007,Alive
+P100569,36,Male,Never,11,27,High,None,Low,No,No,24.9,High,High,Good,North,Middle,Tertiary,Good,Regularly,Yes,Stage III,2017,Deceased
+P100570,89,Male,Current,8,19,Medium,None,Moderate,No,No,22.0,Low,Moderate,Good,North,Middle,Primary,Average,Never,No,None,2003,Alive
+P100571,78,Male,Former,35,35,Low,Silica,Low,Yes,No,21.4,High,None,Average,North,Middle,Tertiary,Poor,Occasionally,No,None,2007,Alive
+P100572,29,Female,Never,40,26,Medium,None,Low,No,No,23.2,Low,None,Average,North,Low,Primary,Average,Regularly,No,Stage I,2006,Deceased
+P100573,81,Female,Never,27,7,High,Diesel Fumes,Moderate,No,No,22.8,High,High,Average,West,High,Tertiary,Poor,Occasionally,No,Stage IV,2024,Alive
+P100574,41,Male,Current,37,31,Low,Asbestos,Low,No,No,29.3,Moderate,Moderate,Average,North,High,Tertiary,Average,Regularly,Yes,None,2014,Alive
+P100575,71,Female,Former,32,0,Medium,Silica,Low,Yes,No,22.1,High,Moderate,Poor,North,High,Primary,Poor,Regularly,No,None,2014,Alive
+P100576,47,Male,Never,41,16,Medium,Silica,Moderate,Yes,No,24.1,Moderate,High,Poor,East,High,Tertiary,Poor,Occasionally,No,None,2001,Alive
+P100577,38,Male,Current,45,8,Low,Diesel Fumes,High,No,No,28.9,Low,None,Poor,South,Low,Secondary,Average,Never,No,None,2003,Deceased
+P100578,75,Male,Current,21,19,Medium,None,Low,Yes,No,23.4,Low,Moderate,Good,South,High,Primary,Average,Occasionally,No,None,2024,Alive
+P100579,62,Male,Current,24,31,Medium,Silica,Low,Yes,No,22.8,High,None,Good,West,High,Secondary,Good,Never,No,None,2021,Deceased
+P100580,88,Female,Former,17,1,High,Silica,Moderate,Yes,No,29.4,Moderate,Moderate,Average,North,Middle,Tertiary,Good,Never,No,None,2024,Alive
+P100581,62,Male,Former,5,31,High,Diesel Fumes,Low,No,No,30.8,Moderate,None,Average,South,Low,Tertiary,Poor,Occasionally,No,Stage I,2008,Alive
+P100582,74,Male,Current,17,8,Medium,Diesel Fumes,Moderate,Yes,No,25.2,Low,Moderate,Poor,East,Middle,Secondary,Average,Regularly,Yes,Stage IV,2022,Alive
+P100583,54,Female,Former,15,29,Medium,None,High,Yes,No,33.3,Low,None,Poor,East,High,Primary,Average,Never,No,Stage II,2006,Alive
+P100584,75,Male,Current,14,19,Low,Asbestos,High,Yes,No,25.8,High,None,Poor,West,Middle,Secondary,Good,Occasionally,No,None,2023,Alive
+P100585,87,Male,Never,47,37,High,Asbestos,Moderate,No,No,29.4,Low,None,Average,East,High,Tertiary,Average,Regularly,No,None,2017,Deceased
+P100586,76,Female,Former,7,0,Low,None,High,Yes,No,34.8,Low,High,Poor,South,Middle,Primary,Poor,Regularly,No,None,2011,Alive
+P100587,62,Female,Never,12,4,Medium,Asbestos,Moderate,No,No,21.9,Moderate,None,Average,South,Low,Secondary,Poor,Regularly,No,None,2013,Alive
+P100588,54,Female,Never,42,34,Low,Diesel Fumes,Low,Yes,No,22.4,Moderate,None,Average,South,Middle,Secondary,Poor,Occasionally,No,None,2006,Alive
+P100589,75,Male,Never,6,35,Medium,Diesel Fumes,High,No,Yes,29.0,Moderate,Moderate,Good,North,Middle,Primary,Good,Occasionally,Yes,None,2005,Alive
+P100590,29,Female,Never,16,0,High,Diesel Fumes,Low,No,No,24.2,Low,Moderate,Good,East,Middle,Secondary,Poor,Regularly,No,None,2022,Alive
+P100591,53,Female,Current,49,13,High,Asbestos,Low,No,No,20.3,High,High,Average,East,Middle,Primary,Good,Regularly,No,None,2021,Alive
+P100592,28,Male,Never,31,8,Medium,Asbestos,Moderate,No,No,23.3,High,Moderate,Poor,North,High,Primary,Good,Regularly,Yes,None,2018,Alive
+P100593,34,Male,Current,21,29,High,Silica,High,No,No,17.9,Low,None,Average,South,Middle,Secondary,Poor,Regularly,No,Stage I,2020,Alive
+P100594,80,Male,Current,12,23,Medium,Silica,High,Yes,No,25.1,High,High,Average,East,Low,Primary,Good,Occasionally,No,None,2018,Deceased
+P100595,41,Male,Former,46,3,Low,Silica,Low,Yes,No,25.8,Low,High,Average,South,Middle,Primary,Good,Regularly,No,None,2021,Alive
+P100596,41,Male,Never,22,13,Medium,Asbestos,Low,Yes,No,30.4,High,High,Average,North,Low,Tertiary,Poor,Never,No,None,2014,Deceased
+P100597,58,Female,Current,28,24,Low,Silica,Moderate,No,No,30.9,Low,None,Good,South,Middle,Tertiary,Poor,Never,No,None,2018,Alive
+P100598,30,Female,Current,21,3,Medium,Diesel Fumes,High,No,No,23.4,Moderate,None,Good,West,High,Tertiary,Good,Occasionally,No,None,2011,Alive
+P100599,77,Female,Current,0,24,High,Asbestos,Moderate,No,No,35.5,High,Moderate,Average,North,Low,Secondary,Good,Never,No,None,2001,Alive
+P100600,67,Male,Current,28,9,Medium,None,Moderate,Yes,No,19.6,Moderate,Moderate,Good,South,Low,Secondary,Average,Never,No,None,2010,Alive
+P100601,47,Male,Current,47,34,Medium,Asbestos,Moderate,No,No,18.0,Moderate,Moderate,Good,North,Middle,Secondary,Poor,Never,Yes,None,2012,Alive
+P100602,79,Male,Former,4,6,Medium,Silica,High,No,No,18.8,High,High,Poor,East,High,Secondary,Average,Occasionally,No,None,2003,Alive
+P100603,40,Female,Former,34,12,High,Asbestos,Moderate,No,Yes,19.1,Low,None,Good,West,High,Primary,Good,Never,No,None,2024,Alive
+P100604,32,Female,Current,9,3,Medium,Silica,High,No,No,28.8,Moderate,Moderate,Good,North,Low,Primary,Average,Regularly,Yes,None,2000,Deceased
+P100605,28,Male,Never,18,35,High,Silica,Moderate,Yes,No,33.4,Moderate,None,Average,South,Middle,Tertiary,Good,Never,No,None,2023,Alive
+P100606,28,Female,Current,36,13,Medium,None,Low,No,No,33.6,Low,High,Good,East,High,Primary,Average,Never,No,None,2020,Alive
+P100607,80,Male,Never,6,17,Low,None,Moderate,No,No,15.6,Low,None,Good,South,High,Secondary,Good,Never,No,None,2001,Alive
+P100608,49,Female,Former,45,7,Medium,Diesel Fumes,Moderate,No,No,29.3,High,None,Good,South,High,Primary,Good,Regularly,No,None,2013,Alive
+P100609,51,Female,Current,34,31,Low,Silica,High,No,Yes,32.6,High,High,Average,North,Middle,Tertiary,Good,Occasionally,No,None,2024,Alive
+P100610,56,Female,Former,44,26,High,Asbestos,Low,Yes,No,30.0,Low,Moderate,Average,North,Middle,Secondary,Poor,Occasionally,No,Stage III,2017,Alive
+P100611,74,Male,Former,12,36,High,None,Low,No,No,21.8,Moderate,None,Good,South,Low,Primary,Good,Never,Yes,Stage II,2010,Alive
+P100612,85,Female,Former,9,22,Medium,None,High,Yes,Yes,25.8,Low,None,Average,North,Middle,Tertiary,Poor,Regularly,No,Stage IV,2010,Deceased
+P100613,75,Female,Current,1,6,High,Silica,High,Yes,No,20.2,High,High,Average,South,High,Primary,Good,Never,No,None,2018,Alive
+P100614,43,Male,Former,5,11,Medium,Asbestos,Low,No,No,28.7,Moderate,None,Poor,North,Low,Tertiary,Average,Occasionally,No,Stage I,2016,Alive
+P100615,45,Female,Current,7,24,High,None,High,No,No,17.7,Moderate,None,Good,West,Middle,Tertiary,Good,Occasionally,No,None,2016,Alive
+P100616,29,Male,Never,35,2,Low,None,Low,Yes,No,28.4,High,None,Poor,North,High,Tertiary,Good,Regularly,No,None,2001,Alive
+P100617,66,Male,Current,24,25,High,Asbestos,Moderate,No,Yes,21.4,Moderate,High,Good,South,High,Secondary,Average,Regularly,No,Stage I,2001,Alive
+P100618,85,Male,Current,43,3,Low,None,Moderate,No,No,26.8,Low,None,Good,East,Low,Primary,Good,Occasionally,No,None,2012,Deceased
+P100619,46,Male,Never,46,35,Medium,Asbestos,Low,Yes,No,23.7,High,High,Poor,North,Low,Primary,Good,Occasionally,No,None,2005,Alive
+P100620,45,Male,Former,39,14,Medium,Silica,Low,Yes,No,23.2,Moderate,Moderate,Poor,West,Middle,Secondary,Good,Occasionally,No,Stage II,2014,Alive
+P100621,25,Female,Never,6,31,Medium,None,Moderate,Yes,No,29.7,High,None,Good,West,Middle,Secondary,Average,Never,No,Stage III,2010,Alive
+P100622,29,Male,Current,45,28,Low,Silica,Moderate,Yes,No,32.6,Moderate,High,Poor,West,Low,Primary,Good,Occasionally,No,None,2023,Alive
+P100623,36,Male,Former,22,9,Medium,Asbestos,Low,Yes,Yes,20.7,Low,High,Poor,West,Low,Secondary,Poor,Occasionally,No,None,2003,Deceased
+P100624,70,Male,Current,18,20,Medium,Silica,High,Yes,No,25.9,High,None,Average,South,High,Secondary,Poor,Regularly,Yes,None,2018,Alive
+P100625,58,Male,Never,45,15,Low,Silica,High,No,No,19.6,Moderate,High,Good,West,Middle,Primary,Poor,Occasionally,No,None,2013,Alive
+P100626,73,Female,Never,21,18,High,Silica,Low,No,No,22.7,Low,Moderate,Average,East,High,Tertiary,Poor,Occasionally,No,Stage III,2017,Alive
+P100627,69,Male,Never,12,28,Medium,Diesel Fumes,High,No,No,21.4,Low,Moderate,Good,North,Low,Secondary,Average,Regularly,No,Stage IV,2016,Alive
+P100628,51,Female,Former,20,17,High,Asbestos,Moderate,No,No,18.7,Low,Moderate,Average,West,Low,Primary,Good,Occasionally,No,None,2007,Alive
+P100629,50,Male,Former,0,15,High,Asbestos,Moderate,No,No,30.3,Moderate,Moderate,Good,North,Low,Primary,Poor,Regularly,No,None,2012,Alive
+P100630,71,Female,Current,18,0,Medium,Asbestos,High,No,No,25.5,Moderate,High,Average,South,Middle,Primary,Good,Regularly,No,None,2022,Alive
+P100631,80,Male,Current,32,1,Medium,Asbestos,Low,No,No,22.3,Low,High,Good,North,Low,Secondary,Good,Regularly,No,Stage II,2014,Alive
+P100632,87,Male,Former,3,14,Low,Asbestos,Moderate,No,No,24.7,Low,Moderate,Average,South,Low,Tertiary,Average,Regularly,No,Stage III,2010,Alive
+P100633,72,Female,Current,41,38,Low,None,Moderate,No,No,31.0,Low,Moderate,Poor,South,Middle,Tertiary,Good,Regularly,No,None,2015,Alive
+P100634,85,Male,Current,2,27,Medium,None,Moderate,Yes,Yes,30.1,Low,Moderate,Good,North,Low,Primary,Poor,Regularly,No,None,2017,Alive
+P100635,50,Female,Current,26,0,High,None,High,Yes,No,27.8,Low,Moderate,Poor,West,Middle,Secondary,Poor,Regularly,No,None,2011,Deceased
+P100636,60,Male,Former,40,4,Low,Silica,Low,No,No,21.7,Moderate,Moderate,Average,East,Low,Secondary,Average,Occasionally,No,None,2022,Alive
+P100637,25,Female,Never,34,21,Low,Silica,High,No,No,25.6,High,High,Good,North,Middle,Tertiary,Poor,Never,No,None,2011,Alive
+P100638,32,Male,Never,27,35,Medium,Asbestos,Low,Yes,No,19.5,High,Moderate,Average,East,Middle,Tertiary,Poor,Occasionally,No,None,2005,Alive
+P100639,76,Male,Current,5,12,Medium,Diesel Fumes,Low,Yes,No,24.6,High,Moderate,Average,North,Middle,Secondary,Average,Regularly,No,None,2023,Alive
+P100640,71,Female,Never,5,0,Medium,Asbestos,High,Yes,No,29.9,Moderate,None,Poor,East,Middle,Tertiary,Average,Regularly,No,None,2005,Alive
+P100641,80,Male,Former,43,15,Medium,None,Moderate,No,No,30.8,High,High,Good,North,High,Primary,Poor,Occasionally,No,Stage IV,2003,Alive
+P100642,38,Male,Former,22,21,Low,Asbestos,Low,Yes,No,21.8,High,Moderate,Average,East,Middle,Tertiary,Average,Never,Yes,None,2023,Deceased
+P100643,52,Male,Former,32,31,Low,Silica,High,Yes,No,29.2,High,High,Poor,East,Middle,Secondary,Average,Occasionally,No,None,2000,Deceased
+P100644,26,Male,Current,15,15,Low,Asbestos,Moderate,Yes,No,28.1,High,None,Poor,North,Middle,Primary,Poor,Occasionally,No,None,2016,Alive
+P100645,50,Male,Never,23,14,High,None,Low,No,No,23.8,Low,None,Poor,North,Middle,Secondary,Poor,Occasionally,No,None,2003,Alive
+P100646,38,Male,Former,4,11,Low,Asbestos,Low,Yes,No,28.7,Moderate,Moderate,Poor,South,Low,Tertiary,Average,Never,No,None,2016,Alive
+P100647,83,Female,Current,40,0,Low,Silica,Moderate,No,No,31.1,High,Moderate,Average,East,Low,Tertiary,Good,Regularly,No,None,2004,Alive
+P100648,80,Female,Current,41,16,Medium,Diesel Fumes,Low,Yes,No,29.3,Low,Moderate,Average,North,Middle,Primary,Good,Never,No,None,2024,Alive
+P100649,31,Female,Current,12,27,Low,None,High,Yes,No,19.7,High,Moderate,Average,West,Middle,Primary,Poor,Occasionally,No,None,2008,Alive
+P100650,27,Male,Current,46,6,Low,Asbestos,Low,No,No,23.6,High,None,Good,West,High,Primary,Poor,Occasionally,No,None,2024,Alive
+P100651,47,Female,Current,11,8,Low,Silica,Low,Yes,No,27.0,High,High,Good,South,Middle,Primary,Good,Never,No,None,2005,Deceased
+P100652,42,Male,Former,4,21,Medium,None,Moderate,Yes,No,21.0,High,Moderate,Poor,West,Middle,Tertiary,Average,Never,No,None,2011,Deceased
+P100653,62,Male,Never,36,25,Low,None,High,Yes,Yes,32.8,High,High,Average,North,Middle,Secondary,Good,Regularly,No,None,2016,Alive
+P100654,39,Male,Current,30,11,Low,Silica,Moderate,No,No,26.6,Low,Moderate,Poor,East,Low,Tertiary,Good,Regularly,No,None,2020,Alive
+P100655,88,Male,Current,27,6,High,Asbestos,High,No,No,22.7,High,Moderate,Average,North,Middle,Tertiary,Poor,Never,Yes,None,2009,Alive
+P100656,52,Female,Current,27,14,High,Asbestos,Moderate,No,No,22.4,Low,None,Good,West,Middle,Primary,Average,Regularly,Yes,None,2001,Deceased
+P100657,63,Male,Former,29,37,High,Asbestos,Low,Yes,No,21.5,High,Moderate,Poor,West,High,Primary,Good,Occasionally,No,Stage IV,2000,Alive
+P100658,81,Female,Former,17,20,High,None,High,No,No,28.5,Moderate,Moderate,Average,North,Low,Secondary,Average,Never,Yes,None,2012,Alive
+P100659,41,Male,Former,43,13,Medium,Diesel Fumes,High,Yes,No,29.1,Low,Moderate,Average,South,High,Secondary,Poor,Regularly,No,None,2020,Alive
+P100660,68,Female,Former,26,1,High,None,Low,Yes,Yes,21.7,High,None,Average,North,Middle,Tertiary,Good,Occasionally,No,None,2020,Alive
+P100661,49,Female,Never,34,7,Low,Asbestos,Moderate,Yes,No,32.3,Low,High,Poor,South,High,Secondary,Poor,Never,No,None,2000,Alive
+P100662,41,Female,Current,25,5,High,None,High,Yes,No,23.1,High,None,Good,West,Middle,Primary,Good,Regularly,No,None,2012,Alive
+P100663,37,Female,Never,38,36,Medium,Diesel Fumes,Low,Yes,No,21.0,High,Moderate,Average,East,Middle,Primary,Average,Occasionally,No,None,2022,Alive
+P100664,49,Female,Never,48,36,High,None,Low,Yes,No,27.4,Low,Moderate,Poor,East,Low,Primary,Poor,Never,No,None,2002,Alive
+P100665,34,Female,Former,17,32,High,Silica,High,Yes,No,19.0,High,Moderate,Average,North,High,Tertiary,Average,Regularly,No,None,2010,Alive
+P100666,42,Male,Current,32,5,Medium,Asbestos,High,Yes,No,18.2,High,High,Poor,South,Middle,Secondary,Good,Occasionally,No,None,2021,Alive
+P100667,58,Female,Former,24,25,Medium,Asbestos,High,No,No,20.2,High,High,Good,West,High,Primary,Poor,Occasionally,No,None,2015,Alive
+P100668,32,Male,Never,30,38,Medium,Asbestos,Low,No,No,21.1,High,Moderate,Average,East,Low,Tertiary,Average,Occasionally,Yes,Stage IV,2017,Alive
+P100669,64,Female,Former,36,36,Medium,None,Moderate,Yes,No,28.7,High,Moderate,Poor,North,Middle,Tertiary,Average,Occasionally,No,None,2024,Deceased
+P100670,66,Male,Former,1,13,Medium,None,Moderate,No,No,18.5,High,High,Average,North,Low,Tertiary,Good,Never,Yes,None,2001,Alive
+P100671,65,Female,Current,32,36,Medium,None,High,No,No,26.8,Low,None,Poor,West,High,Secondary,Poor,Occasionally,No,None,2017,Alive
+P100672,30,Female,Current,38,7,Low,Asbestos,Low,No,No,29.2,Moderate,None,Good,West,High,Secondary,Average,Never,No,None,2016,Alive
+P100673,76,Male,Former,42,38,High,None,Low,Yes,No,32.2,High,High,Good,North,High,Secondary,Poor,Never,No,Stage III,2000,Alive
+P100674,50,Female,Former,42,12,High,Asbestos,High,No,No,22.5,Low,High,Poor,North,Middle,Tertiary,Poor,Regularly,No,None,2003,Deceased
+P100675,88,Female,Current,31,12,Medium,None,Low,Yes,No,22.9,Moderate,Moderate,Good,North,Middle,Tertiary,Poor,Never,No,None,2022,Alive
+P100676,83,Female,Never,17,39,Medium,Asbestos,Low,No,Yes,35.2,Low,High,Average,South,Middle,Secondary,Poor,Occasionally,No,None,2019,Alive
+P100677,80,Male,Former,16,27,Low,Silica,Low,No,No,31.8,Moderate,High,Good,West,Low,Primary,Good,Never,No,None,2020,Alive
+P100678,83,Female,Former,33,17,Low,None,High,No,Yes,23.6,Moderate,Moderate,Average,North,High,Secondary,Average,Never,No,None,2005,Alive
+P100679,57,Male,Current,38,18,Medium,Asbestos,High,Yes,No,30.7,Moderate,High,Good,West,High,Tertiary,Poor,Regularly,Yes,None,2020,Alive
+P100680,77,Female,Never,6,37,Low,Silica,High,Yes,No,26.2,Low,Moderate,Good,North,High,Tertiary,Average,Never,No,None,2004,Alive
+P100681,46,Female,Former,41,31,Low,Silica,Moderate,Yes,No,25.1,Moderate,None,Average,North,Low,Tertiary,Average,Regularly,No,None,2019,Alive
+P100682,45,Male,Current,34,21,Medium,Diesel Fumes,Moderate,Yes,No,37.4,High,None,Good,North,Middle,Tertiary,Average,Never,No,None,2008,Alive
+P100683,28,Female,Former,29,1,Medium,None,High,Yes,No,30.4,High,None,Average,West,Low,Tertiary,Good,Regularly,No,Stage II,2020,Deceased
+P100684,86,Female,Never,11,12,Medium,Asbestos,Low,Yes,No,34.4,Moderate,Moderate,Average,North,High,Tertiary,Poor,Never,No,Stage III,2024,Alive
+P100685,86,Male,Current,34,22,Medium,Diesel Fumes,Low,Yes,No,19.7,Moderate,None,Good,North,High,Secondary,Poor,Occasionally,No,None,2003,Alive
+P100686,48,Female,Former,10,24,High,None,High,Yes,No,34.0,High,None,Good,West,Low,Tertiary,Average,Never,No,None,2024,Alive
+P100687,79,Male,Current,43,27,High,Silica,Low,Yes,No,24.2,Low,Moderate,Average,North,Middle,Tertiary,Average,Regularly,Yes,Stage III,2004,Alive
+P100688,33,Male,Never,3,10,Medium,None,Low,No,No,24.2,Low,Moderate,Poor,East,Middle,Tertiary,Good,Regularly,No,None,2007,Deceased
+P100689,27,Male,Former,24,32,Low,Asbestos,Moderate,No,Yes,26.9,High,None,Good,East,High,Tertiary,Good,Occasionally,No,None,2016,Alive
+P100690,55,Female,Former,47,23,Medium,Silica,Low,Yes,Yes,27.6,Low,None,Good,North,Low,Tertiary,Average,Occasionally,No,None,2014,Alive
+P100691,64,Male,Never,31,1,High,Diesel Fumes,Low,No,No,30.3,Low,None,Poor,South,Middle,Primary,Poor,Regularly,Yes,None,2019,Alive
+P100692,60,Male,Never,19,29,Low,None,High,No,No,29.4,Moderate,High,Poor,West,Low,Secondary,Good,Occasionally,No,Stage IV,2012,Deceased
+P100693,48,Female,Current,49,16,High,None,Moderate,Yes,No,21.7,Low,Moderate,Good,North,High,Secondary,Poor,Never,No,None,2014,Alive
+P100694,30,Male,Never,30,39,Medium,Diesel Fumes,Moderate,Yes,No,20.0,High,Moderate,Good,West,High,Primary,Good,Never,Yes,None,2003,Alive
+P100695,28,Female,Never,3,33,High,None,Low,No,No,24.0,Low,Moderate,Good,South,High,Primary,Poor,Occasionally,No,None,2017,Alive
+P100696,30,Female,Former,37,37,High,None,High,Yes,No,24.9,Moderate,Moderate,Poor,South,High,Tertiary,Average,Never,No,None,2018,Alive
+P100697,75,Female,Current,46,21,High,None,Moderate,No,No,25.4,High,None,Good,West,Middle,Secondary,Good,Never,Yes,None,2023,Alive
+P100698,86,Female,Never,0,4,Low,Silica,Moderate,Yes,No,31.8,High,Moderate,Poor,South,High,Secondary,Average,Occasionally,No,None,2007,Alive
+P100699,81,Male,Former,2,39,High,Silica,Low,No,No,25.9,High,High,Poor,South,Middle,Primary,Good,Regularly,Yes,None,2013,Alive
+P100700,32,Male,Never,36,15,Low,Asbestos,Moderate,Yes,No,38.2,Moderate,High,Average,West,Middle,Secondary,Average,Never,No,Stage III,2000,Alive
+P100701,50,Male,Never,21,12,Medium,None,High,No,No,32.2,High,None,Poor,South,Low,Secondary,Good,Occasionally,No,None,2001,Alive
+P100702,75,Male,Never,16,25,Medium,Asbestos,High,No,No,23.5,Moderate,None,Average,East,High,Tertiary,Good,Regularly,No,None,2019,Alive
+P100703,69,Male,Current,13,30,High,Silica,Moderate,No,No,16.1,Moderate,Moderate,Poor,North,Middle,Tertiary,Good,Never,No,None,2021,Alive
+P100704,68,Female,Never,40,38,Low,None,High,No,No,36.9,Low,None,Poor,East,Low,Tertiary,Poor,Never,No,None,2002,Alive
+P100705,29,Male,Never,34,22,Medium,Asbestos,High,Yes,Yes,23.6,High,None,Average,East,Low,Secondary,Poor,Occasionally,No,Stage I,2015,Alive
+P100706,50,Male,Former,12,11,Low,None,Low,No,Yes,29.6,Low,None,Average,North,High,Secondary,Good,Never,No,Stage I,2022,Alive
+P100707,43,Male,Current,34,13,Low,None,Moderate,Yes,No,21.7,Low,High,Average,East,High,Tertiary,Average,Regularly,Yes,Stage IV,2002,Alive
+P100708,44,Female,Never,42,17,High,Diesel Fumes,Moderate,No,Yes,33.0,Moderate,Moderate,Average,North,Low,Tertiary,Average,Occasionally,Yes,Stage I,2023,Alive
+P100709,36,Female,Former,1,26,High,Asbestos,Low,Yes,No,29.2,Low,None,Average,North,Middle,Secondary,Good,Occasionally,Yes,None,2005,Alive
+P100710,71,Male,Never,46,27,Low,Silica,Low,No,No,19.6,Low,Moderate,Average,West,High,Secondary,Poor,Occasionally,No,None,2007,Alive
+P100711,25,Female,Former,12,17,Low,Asbestos,Low,Yes,No,15.2,Low,Moderate,Average,North,Low,Primary,Poor,Occasionally,No,None,2022,Deceased
+P100712,38,Male,Former,15,15,High,Asbestos,Low,No,No,25.9,High,Moderate,Poor,North,Low,Tertiary,Poor,Regularly,No,None,2011,Alive
+P100713,88,Male,Former,17,15,Low,Asbestos,High,No,No,27.5,Low,High,Poor,South,Middle,Tertiary,Poor,Regularly,No,None,2004,Alive
+P100714,62,Female,Former,6,12,High,Diesel Fumes,High,Yes,No,28.8,Moderate,Moderate,Average,South,Middle,Tertiary,Average,Regularly,No,None,2004,Alive
+P100715,61,Female,Former,44,28,Low,None,Low,No,No,21.1,High,Moderate,Good,East,Low,Secondary,Good,Regularly,Yes,None,2002,Alive
+P100716,35,Male,Never,35,8,High,Silica,Moderate,No,No,21.8,Moderate,None,Average,North,Middle,Secondary,Good,Regularly,No,None,2003,Alive
+P100717,27,Male,Former,40,25,Low,Diesel Fumes,Moderate,No,No,15.6,High,None,Good,North,High,Primary,Good,Regularly,Yes,None,2023,Alive
+P100718,57,Female,Never,29,27,High,Silica,Moderate,No,No,22.2,High,High,Poor,West,Low,Primary,Average,Occasionally,Yes,None,2004,Alive
+P100719,30,Male,Current,41,12,Low,Diesel Fumes,Low,Yes,No,16.8,High,Moderate,Poor,North,Middle,Tertiary,Poor,Occasionally,No,None,2024,Deceased
+P100720,74,Female,Current,40,35,Medium,None,High,No,No,21.4,Moderate,High,Good,West,Middle,Primary,Poor,Occasionally,No,Stage II,2002,Alive
+P100721,34,Male,Current,6,8,Medium,Silica,High,Yes,No,26.6,Low,Moderate,Poor,North,Middle,Secondary,Average,Regularly,No,None,2009,Alive
+P100722,29,Female,Current,14,13,Low,Asbestos,High,Yes,No,26.6,High,High,Average,South,Middle,Primary,Average,Occasionally,Yes,Stage I,2018,Alive
+P100723,47,Male,Current,39,11,Medium,Diesel Fumes,High,Yes,No,21.6,Moderate,Moderate,Good,South,Low,Primary,Good,Regularly,No,None,2023,Alive
+P100724,34,Male,Current,18,31,Low,Silica,Moderate,Yes,No,26.4,High,None,Good,South,Middle,Secondary,Good,Occasionally,Yes,None,2007,Alive
+P100725,68,Female,Never,42,37,Low,None,Moderate,No,No,32.4,Low,High,Poor,East,High,Tertiary,Average,Regularly,No,None,2022,Alive
+P100726,26,Male,Current,36,2,Medium,Silica,High,No,No,23.6,High,None,Good,North,High,Tertiary,Average,Regularly,No,None,2005,Deceased
+P100727,37,Male,Former,1,15,Low,Diesel Fumes,Low,Yes,No,18.6,Moderate,Moderate,Good,South,Low,Primary,Average,Regularly,No,Stage III,2022,Alive
+P100728,64,Female,Former,41,19,High,None,High,No,No,28.9,High,High,Good,West,Low,Secondary,Poor,Never,No,None,2006,Alive
+P100729,26,Male,Current,47,31,Low,Asbestos,High,No,No,30.5,Moderate,None,Poor,South,High,Secondary,Good,Never,Yes,None,2005,Alive
+P100730,89,Male,Never,12,22,Low,Diesel Fumes,Low,Yes,No,21.5,Low,None,Good,North,High,Primary,Average,Regularly,No,None,2012,Alive
+P100731,87,Male,Former,39,16,Medium,Diesel Fumes,High,Yes,No,21.6,Low,None,Good,South,Low,Tertiary,Average,Occasionally,Yes,None,2012,Alive
+P100732,41,Female,Current,40,15,High,None,Moderate,Yes,No,15.1,High,Moderate,Average,North,High,Tertiary,Poor,Regularly,No,None,2024,Alive
+P100733,33,Female,Never,42,37,Low,Diesel Fumes,Low,No,No,22.7,Low,High,Average,North,High,Tertiary,Average,Regularly,Yes,None,2020,Alive
+P100734,39,Female,Former,42,7,Low,Silica,Low,Yes,No,20.4,Moderate,None,Good,South,Low,Secondary,Good,Never,No,None,2004,Alive
+P100735,48,Male,Current,30,18,Low,Asbestos,High,Yes,No,17.4,High,Moderate,Poor,West,Low,Secondary,Poor,Regularly,No,None,2005,Deceased
+P100736,62,Male,Current,15,29,Low,Silica,Moderate,No,No,23.2,Moderate,Moderate,Good,East,Middle,Secondary,Average,Never,No,None,2009,Deceased
+P100737,59,Male,Former,41,33,Low,None,Moderate,No,No,25.0,High,Moderate,Poor,North,Middle,Tertiary,Good,Occasionally,No,None,2019,Alive
+P100738,73,Male,Never,43,13,Low,Diesel Fumes,Moderate,No,No,24.1,Moderate,High,Average,East,High,Primary,Good,Occasionally,No,None,2009,Alive
+P100739,86,Female,Former,5,21,High,Asbestos,High,No,No,23.4,High,Moderate,Average,South,Low,Secondary,Poor,Occasionally,No,None,2024,Alive
+P100740,84,Male,Current,27,16,High,None,High,No,No,32.6,Moderate,Moderate,Good,North,Middle,Secondary,Good,Regularly,Yes,None,2015,Alive
+P100741,74,Male,Former,31,14,Low,Silica,Moderate,No,No,26.5,Moderate,High,Poor,North,High,Primary,Poor,Never,No,None,2017,Deceased
+P100742,33,Male,Former,43,31,Low,Diesel Fumes,High,No,No,28.3,High,High,Poor,South,High,Tertiary,Good,Regularly,Yes,None,2002,Alive
+P100743,58,Female,Never,9,12,Medium,Diesel Fumes,Moderate,No,No,34.1,Moderate,Moderate,Poor,East,High,Secondary,Average,Occasionally,No,None,2024,Alive
+P100744,59,Male,Never,49,20,High,None,High,Yes,No,29.9,Low,Moderate,Good,West,High,Tertiary,Poor,Regularly,No,Stage III,2000,Alive
+P100745,25,Male,Current,17,39,High,Silica,Low,No,No,23.6,Moderate,None,Poor,South,Low,Secondary,Good,Never,No,None,2020,Alive
+P100746,64,Male,Former,3,32,Low,Diesel Fumes,Low,Yes,Yes,15.7,High,High,Average,South,High,Secondary,Poor,Never,No,None,2002,Alive
+P100747,88,Male,Current,8,26,High,Silica,High,No,No,23.1,Low,High,Poor,West,Middle,Primary,Good,Occasionally,Yes,None,2018,Alive
+P100748,46,Male,Never,6,34,High,Asbestos,High,No,No,32.3,Low,None,Poor,West,Low,Primary,Poor,Occasionally,Yes,None,2000,Alive
+P100749,84,Female,Current,49,15,Medium,Diesel Fumes,Moderate,Yes,No,29.9,Moderate,Moderate,Good,West,High,Primary,Average,Occasionally,No,Stage IV,2007,Alive
+P100750,88,Male,Current,7,27,Medium,Asbestos,Low,No,No,23.2,Moderate,Moderate,Good,West,Middle,Primary,Poor,Regularly,No,Stage II,2018,Alive
+P100751,35,Male,Former,42,33,High,Diesel Fumes,Moderate,Yes,No,24.6,Moderate,Moderate,Good,South,Middle,Tertiary,Poor,Never,No,None,2003,Deceased
+P100752,38,Male,Never,6,0,High,None,High,No,Yes,25.6,Low,Moderate,Good,West,Low,Tertiary,Average,Regularly,Yes,Stage II,2015,Alive
+P100753,84,Male,Former,40,30,High,Diesel Fumes,Moderate,Yes,No,21.9,Low,None,Good,East,Low,Tertiary,Good,Occasionally,No,None,2004,Alive
+P100754,54,Male,Current,39,35,Low,Diesel Fumes,Moderate,Yes,No,22.2,Low,High,Poor,West,Low,Primary,Average,Never,No,Stage II,2004,Alive
+P100755,59,Male,Former,2,32,Medium,Silica,High,No,No,21.8,High,High,Poor,North,Middle,Secondary,Poor,Occasionally,Yes,None,2001,Alive
+P100756,61,Male,Current,16,32,Low,Silica,Low,Yes,No,27.5,High,Moderate,Good,North,Middle,Tertiary,Average,Never,No,None,2022,Alive
+P100757,29,Male,Current,1,38,Medium,Asbestos,Moderate,Yes,No,19.7,Moderate,None,Good,West,High,Primary,Average,Never,Yes,Stage III,2005,Alive
+P100758,50,Male,Current,14,17,Medium,Asbestos,High,No,No,32.2,High,Moderate,Poor,South,Low,Primary,Poor,Occasionally,Yes,None,2006,Alive
+P100759,86,Male,Current,45,22,Medium,Asbestos,Moderate,No,No,25.0,High,Moderate,Good,South,Low,Primary,Poor,Never,No,None,2014,Alive
+P100760,28,Female,Never,28,22,High,Diesel Fumes,High,Yes,No,19.5,Moderate,None,Average,East,Low,Tertiary,Average,Never,Yes,None,2009,Alive
+P100761,66,Female,Former,49,14,Medium,Diesel Fumes,High,No,No,30.1,Moderate,None,Poor,South,Low,Secondary,Poor,Occasionally,No,Stage III,2009,Alive
+P100762,42,Female,Never,47,25,Low,Asbestos,High,Yes,No,32.5,Low,High,Average,East,Middle,Tertiary,Good,Never,No,None,2018,Alive
+P100763,64,Female,Current,21,29,Medium,None,Low,Yes,No,40.7,Low,High,Poor,East,Low,Primary,Good,Occasionally,No,None,2023,Alive
+P100764,63,Male,Current,3,24,Low,None,Low,Yes,No,31.9,Moderate,Moderate,Poor,East,Middle,Primary,Good,Regularly,No,None,2015,Deceased
+P100765,38,Female,Current,5,15,Medium,Diesel Fumes,High,No,No,20.6,Moderate,Moderate,Poor,West,Middle,Primary,Good,Regularly,No,None,2021,Deceased
+P100766,56,Female,Former,37,38,Medium,None,Low,No,Yes,26.1,High,High,Poor,South,Low,Tertiary,Average,Occasionally,Yes,None,2022,Alive
+P100767,75,Male,Never,25,13,High,None,Moderate,Yes,No,37.6,High,None,Poor,North,Middle,Secondary,Average,Never,No,None,2008,Alive
+P100768,62,Female,Current,10,16,Low,Asbestos,Low,Yes,No,21.1,High,Moderate,Poor,East,Middle,Tertiary,Average,Regularly,No,None,2023,Alive
+P100769,47,Female,Former,25,11,Medium,None,Low,Yes,No,18.7,Moderate,Moderate,Poor,North,Low,Primary,Poor,Occasionally,No,None,2007,Alive
+P100770,87,Male,Never,16,28,Medium,None,Moderate,No,No,23.1,Moderate,None,Good,East,Low,Primary,Average,Occasionally,No,None,2018,Alive
+P100771,39,Male,Current,23,31,Low,Diesel Fumes,Moderate,Yes,No,19.9,Low,Moderate,Good,South,High,Primary,Average,Never,Yes,None,2000,Deceased
+P100772,49,Male,Never,27,23,Medium,Diesel Fumes,Moderate,No,No,22.0,High,None,Good,West,Middle,Tertiary,Poor,Never,No,None,2016,Alive
+P100773,41,Female,Former,34,12,High,Diesel Fumes,High,Yes,No,21.7,Low,High,Average,East,Middle,Tertiary,Poor,Never,Yes,Stage I,2017,Alive
+P100774,77,Female,Former,30,19,Low,None,Moderate,Yes,No,28.6,Moderate,High,Poor,East,High,Tertiary,Poor,Occasionally,Yes,None,2023,Alive
+P100775,75,Male,Never,12,14,High,Asbestos,Moderate,Yes,No,18.5,High,High,Good,North,High,Primary,Good,Regularly,No,None,2014,Alive
+P100776,63,Male,Current,34,3,Low,Silica,Moderate,Yes,No,25.7,Low,High,Good,West,Low,Tertiary,Average,Occasionally,No,None,2005,Deceased
+P100777,75,Female,Never,15,33,Low,Diesel Fumes,High,No,No,21.2,Moderate,High,Good,South,High,Secondary,Average,Never,No,None,2021,Alive
+P100778,30,Male,Never,14,27,Low,Diesel Fumes,Low,No,No,27.7,Low,Moderate,Poor,East,Low,Secondary,Average,Never,No,Stage II,2016,Alive
+P100779,31,Female,Never,42,1,Medium,Diesel Fumes,High,No,No,28.3,High,High,Poor,South,Low,Secondary,Poor,Occasionally,No,None,2017,Alive
+P100780,75,Male,Current,17,29,Low,Asbestos,Low,No,No,29.5,Low,Moderate,Average,West,Low,Tertiary,Average,Never,No,None,2020,Alive
+P100781,66,Male,Former,46,25,Low,Silica,Moderate,No,No,29.5,Low,Moderate,Average,North,Middle,Primary,Good,Never,No,Stage III,2018,Alive
+P100782,88,Female,Former,36,25,Low,Silica,High,Yes,No,21.9,Moderate,None,Poor,West,Middle,Primary,Average,Occasionally,No,Stage II,2001,Alive
+P100783,39,Male,Never,47,19,High,Diesel Fumes,High,No,No,25.0,High,Moderate,Average,West,Low,Primary,Average,Regularly,No,None,2024,Alive
+P100784,53,Male,Never,47,27,Low,None,Low,No,No,32.3,Low,Moderate,Good,West,High,Primary,Poor,Never,No,None,2006,Alive
+P100785,57,Male,Former,48,19,Medium,Diesel Fumes,High,No,No,27.2,Moderate,High,Average,West,Middle,Primary,Good,Regularly,No,None,2016,Deceased
+P100786,51,Female,Current,40,10,Low,Diesel Fumes,High,No,No,29.4,High,High,Good,South,Middle,Tertiary,Average,Regularly,Yes,None,2014,Alive
+P100787,60,Male,Current,26,9,Low,None,Low,Yes,No,18.9,Moderate,None,Average,South,High,Secondary,Poor,Regularly,Yes,None,2015,Deceased
+P100788,53,Male,Never,34,22,High,None,High,Yes,No,29.8,High,None,Good,North,Middle,Tertiary,Good,Regularly,No,None,2016,Alive
+P100789,62,Male,Former,44,36,Medium,Diesel Fumes,High,Yes,No,15.6,Moderate,Moderate,Average,East,High,Primary,Good,Never,No,None,2002,Alive
+P100790,81,Male,Current,34,18,Medium,Asbestos,Moderate,No,No,17.4,Moderate,None,Average,East,High,Tertiary,Poor,Never,Yes,None,2009,Alive
+P100791,51,Male,Former,27,17,Medium,Asbestos,Moderate,Yes,No,20.5,Moderate,High,Poor,West,Middle,Tertiary,Poor,Occasionally,No,None,2005,Alive
+P100792,79,Male,Current,38,26,Low,None,Moderate,Yes,No,27.1,Low,High,Poor,West,High,Tertiary,Poor,Never,No,Stage II,2001,Alive
+P100793,57,Female,Never,37,5,Low,Diesel Fumes,Moderate,No,No,28.0,Low,High,Good,South,High,Primary,Poor,Occasionally,No,Stage IV,2010,Alive
+P100794,34,Female,Current,8,9,Medium,Asbestos,Moderate,No,No,20.9,Moderate,Moderate,Poor,East,Low,Primary,Poor,Regularly,No,None,2007,Alive
+P100795,29,Male,Current,11,1,Medium,Diesel Fumes,High,No,No,15.4,High,Moderate,Good,North,Low,Primary,Poor,Occasionally,No,None,2013,Alive
+P100796,62,Female,Current,14,23,High,Diesel Fumes,High,Yes,No,29.8,Moderate,None,Poor,West,Middle,Tertiary,Average,Occasionally,No,Stage I,2011,Alive
+P100797,37,Female,Current,20,37,Medium,Diesel Fumes,Moderate,No,No,27.9,Low,High,Poor,South,High,Tertiary,Poor,Never,No,None,2019,Deceased
+P100798,55,Male,Former,34,27,Low,Asbestos,Low,Yes,No,27.1,High,Moderate,Good,West,Middle,Secondary,Poor,Occasionally,No,None,2023,Deceased
+P100799,71,Female,Current,41,27,Low,Silica,Moderate,Yes,No,34.6,Low,Moderate,Average,West,Middle,Secondary,Good,Regularly,No,None,2006,Alive
+P100800,76,Female,Never,32,38,Low,Diesel Fumes,High,Yes,No,25.8,Moderate,None,Good,South,Low,Primary,Good,Never,No,None,2017,Deceased
+P100801,80,Female,Former,18,1,High,Asbestos,Low,Yes,No,20.0,Low,High,Good,East,High,Secondary,Good,Never,No,None,2024,Alive
+P100802,39,Female,Current,22,4,Medium,Silica,Moderate,Yes,No,31.6,Low,High,Good,East,Middle,Primary,Poor,Never,Yes,None,2004,Alive
+P100803,53,Female,Current,12,10,Low,None,Low,No,No,23.0,Low,None,Poor,West,Middle,Primary,Poor,Regularly,No,Stage III,2005,Alive
+P100804,32,Female,Current,43,9,High,Asbestos,Moderate,Yes,No,24.5,Moderate,None,Poor,East,Low,Tertiary,Average,Occasionally,No,Stage I,2012,Alive
+P100805,29,Female,Never,0,1,High,Silica,High,Yes,No,22.3,Low,None,Poor,South,Low,Secondary,Average,Never,Yes,None,2001,Alive
+P100806,53,Female,Current,28,14,Low,Asbestos,Moderate,Yes,No,20.8,Moderate,None,Good,East,Low,Primary,Average,Occasionally,No,None,2018,Alive
+P100807,71,Male,Current,23,38,High,Silica,Low,Yes,No,22.9,Moderate,High,Average,West,Middle,Primary,Average,Regularly,Yes,None,2007,Alive
+P100808,69,Male,Never,15,36,High,Silica,High,Yes,Yes,32.6,Low,High,Average,West,High,Secondary,Poor,Regularly,No,None,2010,Alive
+P100809,26,Female,Former,24,6,Low,Asbestos,Moderate,No,No,19.7,High,None,Good,South,Low,Secondary,Good,Regularly,No,None,2020,Alive
+P100810,51,Female,Never,22,19,High,None,Moderate,Yes,No,30.3,Low,Moderate,Good,West,Low,Secondary,Poor,Never,No,Stage II,2015,Alive
+P100811,60,Male,Former,27,33,Low,Diesel Fumes,Moderate,Yes,No,15.8,Low,Moderate,Average,East,High,Secondary,Poor,Never,Yes,Stage I,2000,Alive
+P100812,60,Female,Current,46,34,Low,Silica,Moderate,Yes,No,33.0,Low,High,Poor,South,Middle,Secondary,Poor,Occasionally,No,None,2024,Alive
+P100813,50,Female,Current,15,33,High,Diesel Fumes,High,Yes,No,33.5,High,High,Good,West,Middle,Secondary,Poor,Occasionally,No,Stage I,2015,Alive
+P100814,67,Male,Current,42,21,Low,None,High,No,Yes,19.9,High,None,Average,South,High,Secondary,Good,Never,No,None,2011,Alive
+P100815,51,Male,Current,37,30,Low,Diesel Fumes,Moderate,Yes,No,25.4,Moderate,Moderate,Average,South,Low,Primary,Good,Regularly,Yes,Stage I,2016,Alive
+P100816,44,Male,Former,10,22,Medium,Diesel Fumes,High,Yes,No,28.2,High,High,Average,East,High,Tertiary,Average,Regularly,No,Stage IV,2008,Alive
+P100817,35,Female,Current,2,18,Low,Asbestos,Low,Yes,No,22.0,High,Moderate,Poor,East,Middle,Primary,Poor,Never,Yes,Stage I,2005,Deceased
+P100818,62,Female,Former,14,3,Medium,Asbestos,High,Yes,Yes,34.4,Low,None,Average,North,Middle,Primary,Average,Occasionally,No,None,2006,Alive
+P100819,30,Male,Current,0,23,Medium,None,Low,No,No,25.1,Moderate,High,Average,South,Low,Tertiary,Good,Regularly,No,Stage I,2012,Alive
+P100820,47,Male,Never,6,19,Medium,Asbestos,Low,No,No,22.4,Moderate,High,Average,East,Low,Tertiary,Good,Never,No,None,2016,Deceased
+P100821,71,Female,Current,0,38,Medium,Silica,High,No,No,25.4,High,Moderate,Good,West,High,Tertiary,Average,Occasionally,No,None,2009,Alive
+P100822,70,Male,Never,48,27,High,None,Moderate,Yes,No,21.3,High,Moderate,Good,North,Middle,Secondary,Good,Occasionally,No,None,2010,Alive
+P100823,36,Female,Former,31,38,High,Asbestos,High,No,No,25.1,Low,High,Good,North,Middle,Secondary,Good,Regularly,No,None,2013,Alive
+P100824,37,Female,Current,8,16,Low,Asbestos,Low,No,Yes,22.8,High,Moderate,Average,West,High,Secondary,Poor,Regularly,No,None,2016,Alive
+P100825,86,Male,Former,28,18,Low,None,Low,No,Yes,21.1,High,Moderate,Average,East,Low,Primary,Poor,Regularly,Yes,None,2015,Alive
+P100826,84,Male,Current,25,34,Low,Silica,High,No,No,29.0,Moderate,None,Poor,South,Middle,Tertiary,Good,Regularly,No,Stage III,2004,Alive
+P100827,67,Female,Former,22,31,High,None,Low,No,No,16.5,High,Moderate,Average,North,Middle,Tertiary,Good,Occasionally,No,Stage III,2017,Alive
+P100828,29,Male,Current,44,38,Medium,Asbestos,High,Yes,No,33.8,Low,High,Poor,West,Low,Primary,Average,Never,No,None,2010,Alive
+P100829,61,Male,Never,42,34,High,Asbestos,High,No,Yes,26.2,Moderate,None,Average,West,Middle,Secondary,Average,Occasionally,Yes,Stage III,2009,Alive
+P100830,55,Male,Never,28,29,High,None,Moderate,No,Yes,34.2,Moderate,High,Poor,West,Low,Tertiary,Good,Regularly,Yes,Stage I,2020,Alive
+P100831,33,Male,Never,37,16,Low,Silica,Low,No,No,29.8,High,None,Good,West,High,Primary,Poor,Never,No,None,2020,Alive
+P100832,75,Female,Former,32,28,Low,Silica,High,Yes,No,18.3,Low,None,Average,North,Low,Secondary,Poor,Occasionally,No,None,2021,Alive
+P100833,53,Female,Never,6,5,Low,Diesel Fumes,Low,Yes,No,25.4,Moderate,Moderate,Poor,South,Low,Primary,Average,Never,No,None,2024,Alive
+P100834,64,Female,Former,11,16,Medium,Silica,High,No,No,16.0,Low,Moderate,Good,East,High,Secondary,Poor,Occasionally,No,None,2005,Deceased
+P100835,65,Female,Former,30,16,Medium,None,High,Yes,No,20.5,Low,High,Good,West,Middle,Primary,Poor,Never,No,None,2009,Alive
+P100836,35,Male,Never,31,13,High,Silica,Moderate,Yes,Yes,24.3,High,Moderate,Average,West,Middle,Secondary,Average,Occasionally,No,None,2010,Alive
+P100837,47,Male,Former,19,23,Medium,Silica,High,No,No,21.5,Low,None,Poor,South,Low,Primary,Average,Occasionally,No,Stage I,2000,Alive
+P100838,25,Female,Current,16,36,Low,Diesel Fumes,Moderate,Yes,No,22.6,Moderate,Moderate,Poor,South,Low,Primary,Poor,Regularly,No,None,2004,Alive
+P100839,70,Female,Never,35,39,Medium,Silica,Low,No,Yes,21.7,High,High,Poor,East,High,Primary,Average,Occasionally,Yes,None,2001,Alive
+P100840,45,Male,Former,2,38,Medium,Diesel Fumes,Moderate,No,No,36.1,Moderate,None,Good,North,High,Primary,Good,Regularly,No,None,2010,Alive
+P100841,60,Female,Current,0,31,Medium,Diesel Fumes,Moderate,No,No,25.6,Low,High,Poor,South,Middle,Tertiary,Average,Occasionally,No,None,2013,Alive
+P100842,78,Female,Former,49,35,Medium,Silica,Low,Yes,No,28.1,Low,Moderate,Good,North,Middle,Tertiary,Good,Never,No,None,2023,Alive
+P100843,81,Male,Current,26,36,Low,Asbestos,Moderate,No,No,24.7,High,None,Poor,North,High,Tertiary,Good,Never,Yes,None,2012,Deceased
+P100844,25,Female,Former,46,13,Low,None,Moderate,No,No,26.7,High,High,Good,West,Low,Tertiary,Good,Regularly,No,Stage IV,2022,Deceased
+P100845,87,Male,Former,39,26,High,None,High,Yes,No,14.7,Moderate,Moderate,Average,North,High,Primary,Average,Occasionally,No,None,2010,Alive
+P100846,78,Male,Never,32,18,High,Silica,Moderate,No,No,33.4,Moderate,Moderate,Good,West,Middle,Tertiary,Average,Regularly,No,None,2005,Deceased
+P100847,79,Female,Current,19,30,High,None,High,Yes,No,21.4,Low,High,Poor,West,Low,Tertiary,Average,Never,No,None,2001,Deceased
+P100848,64,Male,Current,13,8,Medium,None,Moderate,Yes,Yes,30.7,High,None,Good,East,High,Primary,Good,Occasionally,Yes,None,2018,Alive
+P100849,39,Female,Never,35,37,Medium,Diesel Fumes,Low,No,No,30.9,Low,High,Poor,North,Middle,Tertiary,Average,Regularly,No,Stage I,2024,Alive
+P100850,45,Male,Former,4,16,Low,Asbestos,Low,Yes,No,16.0,Low,Moderate,Average,South,Low,Tertiary,Poor,Never,No,None,2008,Deceased
+P100851,71,Female,Current,22,18,High,None,Moderate,No,No,25.3,Moderate,High,Good,South,Low,Secondary,Poor,Never,Yes,Stage II,2022,Alive
+P100852,77,Female,Former,44,3,Low,Asbestos,High,Yes,No,27.0,Moderate,Moderate,Average,South,Low,Tertiary,Average,Occasionally,No,None,2017,Alive
+P100853,33,Female,Former,14,10,High,None,Moderate,Yes,No,25.5,Moderate,None,Good,East,Low,Secondary,Good,Occasionally,No,Stage II,2013,Alive
+P100854,76,Male,Current,5,21,High,Asbestos,High,Yes,No,25.0,High,High,Good,West,Low,Tertiary,Average,Occasionally,No,None,2012,Alive
+P100855,81,Male,Current,32,3,High,Asbestos,Moderate,Yes,No,22.8,Moderate,None,Average,West,High,Primary,Poor,Regularly,Yes,None,2011,Alive
+P100856,50,Female,Former,18,16,Medium,None,Low,No,No,21.4,High,High,Average,South,Low,Tertiary,Good,Regularly,No,None,2011,Alive
+P100857,65,Male,Current,12,7,High,Diesel Fumes,Low,No,No,30.3,Low,Moderate,Good,West,High,Primary,Average,Occasionally,No,None,2012,Alive
+P100858,59,Female,Current,28,33,High,Asbestos,High,Yes,No,27.0,High,None,Good,West,Low,Tertiary,Average,Occasionally,No,None,2006,Alive
+P100859,87,Female,Former,5,10,Medium,Asbestos,Moderate,No,No,25.9,Moderate,Moderate,Good,East,Middle,Tertiary,Good,Occasionally,No,None,2015,Alive
+P100860,49,Male,Former,14,30,High,None,High,No,No,17.0,High,High,Average,North,Low,Primary,Good,Never,No,None,2016,Alive
+P100861,62,Female,Former,15,10,Medium,Asbestos,Low,No,No,23.7,High,Moderate,Poor,North,High,Primary,Poor,Occasionally,No,None,2008,Alive
+P100862,26,Male,Current,23,37,Medium,Asbestos,High,No,No,24.7,Moderate,High,Average,East,Middle,Primary,Average,Regularly,No,None,2013,Alive
+P100863,31,Female,Current,22,20,Low,Diesel Fumes,Moderate,No,No,29.2,Moderate,None,Good,East,Middle,Primary,Poor,Never,No,None,2008,Alive
+P100864,58,Male,Never,47,29,Medium,Asbestos,High,No,No,16.3,Low,Moderate,Good,West,High,Secondary,Poor,Occasionally,No,None,2005,Alive
+P100865,41,Female,Current,9,9,Medium,Diesel Fumes,Moderate,No,No,19.5,High,Moderate,Average,East,Middle,Secondary,Good,Regularly,No,None,2000,Alive
+P100866,67,Female,Former,40,25,Medium,Asbestos,Moderate,Yes,No,34.0,Low,High,Good,West,High,Primary,Average,Never,Yes,None,2023,Alive
+P100867,83,Male,Never,40,26,High,Asbestos,Low,No,No,21.0,Low,High,Good,North,Low,Secondary,Poor,Never,No,None,2021,Alive
+P100868,75,Female,Former,48,7,Low,Diesel Fumes,Moderate,Yes,No,15.7,High,High,Good,East,Low,Tertiary,Poor,Regularly,No,None,2024,Deceased
+P100869,78,Female,Former,16,38,High,Diesel Fumes,Moderate,Yes,No,21.5,Low,None,Good,West,High,Tertiary,Good,Regularly,No,None,2024,Alive
+P100870,48,Male,Current,48,7,Medium,Silica,Moderate,Yes,No,21.0,High,Moderate,Good,North,Low,Tertiary,Average,Never,No,None,2022,Alive
+P100871,49,Female,Never,43,7,Medium,Asbestos,High,No,No,28.3,Low,High,Poor,North,Middle,Secondary,Average,Regularly,No,None,2019,Alive
+P100872,76,Male,Current,44,33,Low,Diesel Fumes,Low,No,Yes,28.2,Low,High,Average,South,Low,Secondary,Poor,Never,Yes,None,2000,Alive
+P100873,57,Female,Former,29,15,Low,Asbestos,High,Yes,No,20.2,High,Moderate,Average,North,Low,Tertiary,Good,Never,No,None,2018,Alive
+P100874,73,Male,Never,43,12,Medium,Asbestos,High,Yes,Yes,23.1,Moderate,None,Average,East,Middle,Primary,Average,Never,No,None,2021,Alive
+P100875,53,Female,Current,45,22,Medium,Asbestos,Low,No,Yes,27.7,High,Moderate,Poor,East,Middle,Tertiary,Average,Never,No,None,2014,Alive
+P100876,87,Female,Former,9,11,High,None,High,No,No,27.9,Moderate,High,Poor,West,Low,Secondary,Poor,Occasionally,No,Stage I,2016,Alive
+P100877,46,Female,Never,18,26,Medium,Silica,High,No,No,19.8,High,Moderate,Average,East,Low,Tertiary,Average,Regularly,Yes,Stage II,2019,Alive
+P100878,50,Male,Former,28,21,High,None,Moderate,Yes,No,20.4,High,High,Average,North,Low,Tertiary,Average,Occasionally,No,None,2023,Deceased
+P100879,52,Male,Current,1,31,Low,Silica,High,Yes,No,35.6,Moderate,High,Average,West,High,Secondary,Average,Occasionally,Yes,None,2007,Alive
+P100880,73,Male,Former,35,26,High,Asbestos,Low,No,No,23.7,Moderate,Moderate,Good,North,High,Secondary,Average,Occasionally,No,None,2021,Alive
+P100881,73,Male,Never,18,1,Medium,Asbestos,High,No,No,32.5,High,Moderate,Poor,South,Low,Secondary,Poor,Occasionally,No,None,2021,Alive
+P100882,44,Female,Never,6,32,High,Diesel Fumes,Moderate,Yes,No,26.1,High,None,Poor,West,Low,Secondary,Average,Never,No,None,2002,Deceased
+P100883,87,Female,Never,25,25,High,Silica,High,No,No,30.5,High,High,Good,South,Middle,Tertiary,Average,Never,No,None,2022,Alive
+P100884,85,Male,Current,14,27,Low,Silica,Low,No,No,28.1,Moderate,High,Poor,West,Low,Secondary,Good,Never,No,None,2011,Alive
+P100885,73,Male,Former,46,18,High,None,Moderate,Yes,No,25.9,High,High,Average,East,Low,Primary,Poor,Never,No,None,2023,Alive
+P100886,25,Male,Never,37,4,Medium,Silica,High,Yes,No,25.8,Moderate,High,Poor,North,High,Secondary,Average,Occasionally,No,None,2014,Alive
+P100887,37,Female,Never,2,32,High,Asbestos,Low,Yes,No,18.8,Low,High,Good,West,High,Secondary,Good,Never,No,None,2017,Alive
+P100888,75,Male,Former,37,19,High,Diesel Fumes,Low,Yes,No,24.2,Moderate,Moderate,Average,East,High,Tertiary,Poor,Occasionally,No,None,2012,Alive
+P100889,80,Male,Current,15,29,High,None,High,No,No,22.4,Low,High,Poor,East,Middle,Primary,Average,Never,Yes,None,2004,Alive
+P100890,86,Female,Former,1,7,Medium,Diesel Fumes,High,Yes,No,23.4,High,Moderate,Average,East,Low,Primary,Good,Regularly,No,None,2021,Alive
+P100891,56,Female,Current,30,37,High,Silica,Moderate,No,No,23.2,High,None,Poor,South,High,Primary,Poor,Regularly,No,None,2016,Alive
+P100892,54,Male,Former,27,16,Medium,Silica,High,No,No,25.8,Moderate,High,Average,East,Middle,Secondary,Average,Regularly,Yes,None,2020,Deceased
+P100893,53,Female,Never,6,0,High,None,Moderate,No,No,28.2,Low,None,Good,West,Low,Tertiary,Good,Regularly,Yes,Stage IV,2002,Deceased
+P100894,73,Male,Current,29,2,Low,Silica,High,Yes,No,24.3,High,Moderate,Good,South,Low,Tertiary,Poor,Never,Yes,None,2018,Alive
+P100895,69,Female,Former,42,25,Low,Diesel Fumes,Low,Yes,No,29.8,High,Moderate,Poor,North,Middle,Secondary,Good,Regularly,No,None,2005,Alive
+P100896,54,Male,Current,6,30,Low,Asbestos,Low,No,No,22.9,Low,None,Poor,East,Low,Primary,Good,Regularly,No,Stage III,2016,Alive
+P100897,40,Male,Current,35,7,Medium,None,Low,No,No,25.4,High,High,Average,West,Middle,Primary,Average,Occasionally,No,None,2004,Alive
+P100898,64,Male,Never,28,7,Medium,Silica,Low,Yes,No,37.6,High,Moderate,Good,West,Middle,Tertiary,Good,Regularly,No,None,2020,Alive
+P100899,43,Male,Never,23,34,Medium,Diesel Fumes,Moderate,No,No,19.0,Moderate,Moderate,Average,South,High,Secondary,Average,Never,No,None,2004,Alive
+P100900,42,Female,Current,38,38,High,Asbestos,Low,No,No,22.9,High,Moderate,Good,North,Middle,Primary,Average,Occasionally,No,None,2018,Alive
+P100901,25,Female,Never,3,27,Medium,Silica,Moderate,No,No,15.9,Low,Moderate,Average,South,High,Secondary,Good,Never,No,None,2021,Alive
+P100902,71,Female,Never,28,3,Medium,None,Moderate,No,No,26.1,High,Moderate,Average,East,Low,Tertiary,Good,Occasionally,No,None,2010,Alive
+P100903,62,Female,Never,43,15,Medium,Silica,Moderate,No,No,25.1,Moderate,Moderate,Average,North,High,Secondary,Good,Never,No,None,2000,Deceased
+P100904,75,Male,Never,4,12,Medium,Silica,High,No,No,25.6,High,None,Poor,North,Middle,Secondary,Good,Regularly,Yes,None,2012,Alive
+P100905,87,Male,Current,28,19,Low,Silica,Moderate,No,No,20.4,Low,High,Good,North,High,Secondary,Poor,Occasionally,No,None,2016,Alive
+P100906,28,Female,Never,29,4,High,Asbestos,High,No,No,21.2,High,High,Poor,South,Low,Secondary,Average,Regularly,No,Stage III,2010,Alive
+P100907,25,Female,Former,28,36,Low,Asbestos,Moderate,Yes,No,25.3,Low,High,Poor,West,High,Primary,Good,Never,No,Stage II,2017,Alive
+P100908,32,Female,Current,25,19,High,Silica,High,Yes,No,18.0,Moderate,High,Average,South,Low,Tertiary,Poor,Never,Yes,None,2003,Alive
+P100909,53,Female,Former,18,23,High,Silica,High,No,No,29.4,High,None,Good,West,Middle,Primary,Good,Occasionally,No,None,2024,Alive
+P100910,79,Female,Never,25,35,Low,None,Low,No,No,18.0,High,None,Poor,South,High,Primary,Poor,Never,No,Stage IV,2009,Alive
+P100911,27,Male,Current,36,33,Medium,Silica,Moderate,Yes,No,24.2,Moderate,High,Average,West,Low,Primary,Average,Never,No,None,2023,Alive
+P100912,56,Male,Never,26,33,Low,Diesel Fumes,High,Yes,No,22.8,Low,Moderate,Good,West,Low,Primary,Good,Occasionally,No,None,2010,Alive
+P100913,34,Male,Current,29,18,High,Diesel Fumes,Low,Yes,No,22.5,Low,High,Good,North,High,Tertiary,Poor,Regularly,No,None,2017,Alive
+P100914,58,Female,Current,29,16,High,None,Moderate,No,No,17.0,High,Moderate,Poor,West,High,Tertiary,Poor,Occasionally,No,None,2000,Alive
+P100915,79,Female,Former,2,4,Medium,Asbestos,Low,Yes,No,24.8,Low,Moderate,Average,East,High,Primary,Average,Never,No,None,2003,Alive
+P100916,56,Female,Former,42,24,Low,Silica,High,Yes,No,19.0,Low,None,Poor,East,High,Secondary,Good,Never,Yes,None,2004,Alive
+P100917,74,Female,Former,6,17,High,None,Low,No,No,25.7,High,Moderate,Good,West,High,Secondary,Good,Occasionally,Yes,None,2001,Alive
+P100918,31,Male,Former,48,7,Low,Asbestos,Low,Yes,No,21.2,Low,None,Poor,West,Low,Secondary,Average,Occasionally,No,None,2021,Alive
+P100919,32,Male,Current,8,26,Medium,None,Moderate,No,No,24.7,Low,High,Average,West,Middle,Secondary,Average,Regularly,No,Stage III,2023,Alive
+P100920,89,Female,Current,40,14,Medium,Asbestos,High,Yes,No,15.9,High,None,Good,West,Low,Secondary,Average,Never,No,None,2011,Deceased
+P100921,81,Male,Former,41,12,High,Silica,Moderate,Yes,No,29.6,High,Moderate,Average,North,High,Tertiary,Poor,Never,No,None,2010,Alive
+P100922,83,Male,Current,12,15,Medium,None,Moderate,Yes,No,30.5,Low,Moderate,Average,East,High,Secondary,Poor,Regularly,No,None,2020,Alive
+P100923,78,Female,Current,14,21,High,Silica,Low,Yes,No,22.2,High,Moderate,Good,North,Middle,Tertiary,Average,Occasionally,No,None,2015,Deceased
+P100924,75,Female,Current,4,19,High,None,High,Yes,No,39.0,Low,High,Average,East,High,Secondary,Good,Occasionally,No,None,2003,Alive
+P100925,32,Female,Former,28,12,Medium,Asbestos,Moderate,No,No,28.8,Low,None,Average,West,Middle,Secondary,Poor,Regularly,No,None,2006,Alive
+P100926,58,Female,Former,34,19,Medium,None,High,No,No,23.7,Low,High,Average,East,High,Primary,Average,Occasionally,No,None,2020,Deceased
+P100927,59,Female,Never,26,1,Low,Diesel Fumes,Moderate,Yes,No,22.5,Low,None,Good,East,Low,Primary,Poor,Regularly,No,None,2023,Alive
+P100928,56,Female,Current,26,34,Low,Diesel Fumes,Low,No,No,21.1,High,High,Average,South,Middle,Primary,Poor,Occasionally,No,None,2022,Alive
+P100929,70,Male,Never,7,18,High,None,Moderate,Yes,No,22.0,High,High,Poor,South,Low,Tertiary,Average,Occasionally,No,Stage I,2020,Alive
+P100930,40,Male,Former,31,36,Low,Diesel Fumes,Moderate,Yes,No,24.5,Moderate,Moderate,Poor,West,High,Tertiary,Good,Occasionally,No,None,2012,Deceased
+P100931,61,Female,Never,19,5,High,Silica,Moderate,Yes,No,24.8,High,High,Average,North,Low,Primary,Good,Regularly,Yes,None,2013,Alive
+P100932,78,Male,Never,9,13,Medium,Diesel Fumes,High,Yes,No,18.0,Moderate,High,Poor,South,Low,Primary,Poor,Regularly,No,None,2010,Alive
+P100933,38,Female,Former,12,3,Medium,Diesel Fumes,Low,Yes,No,31.8,Low,None,Poor,West,Low,Secondary,Good,Regularly,No,None,2007,Alive
+P100934,79,Female,Current,28,21,Low,Silica,High,No,No,28.9,High,High,Good,North,Middle,Tertiary,Good,Never,No,Stage I,2000,Alive
+P100935,72,Female,Never,34,38,High,Silica,Moderate,No,No,34.2,Low,Moderate,Average,South,Middle,Secondary,Average,Never,No,Stage I,2007,Alive
+P100936,31,Female,Former,7,35,High,Asbestos,Low,No,No,26.8,Moderate,High,Good,East,Middle,Secondary,Average,Regularly,No,None,2018,Alive
+P100937,31,Male,Never,28,33,Low,Silica,High,No,No,30.2,High,None,Average,South,Low,Primary,Average,Never,No,Stage II,2016,Alive
+P100938,57,Female,Never,30,26,High,None,Moderate,Yes,No,18.7,High,None,Poor,West,Low,Secondary,Good,Never,No,None,2008,Alive
+P100939,47,Male,Former,40,6,High,Diesel Fumes,Low,No,No,28.0,High,High,Good,South,High,Secondary,Good,Occasionally,No,None,2012,Alive
+P100940,43,Female,Former,29,2,Medium,Asbestos,Low,Yes,No,16.0,High,High,Good,South,Middle,Primary,Average,Occasionally,No,None,2021,Alive
+P100941,43,Female,Never,21,32,High,Silica,Moderate,Yes,No,20.1,Low,None,Poor,North,High,Primary,Good,Occasionally,No,None,2014,Alive
+P100942,60,Female,Former,20,1,High,Diesel Fumes,Low,No,No,37.5,High,Moderate,Poor,North,Low,Secondary,Average,Never,No,None,2012,Alive
+P100943,53,Male,Never,11,15,High,None,Low,No,No,23.3,Moderate,High,Average,East,Middle,Secondary,Poor,Never,No,Stage I,2007,Alive
+P100944,84,Female,Former,10,24,Low,None,High,Yes,No,24.9,High,Moderate,Average,West,High,Secondary,Poor,Regularly,Yes,None,2011,Alive
+P100945,26,Female,Current,1,14,Low,Asbestos,Low,Yes,No,28.5,Moderate,Moderate,Poor,East,Low,Tertiary,Good,Never,No,None,2010,Deceased
+P100946,25,Female,Current,49,23,Low,None,High,Yes,No,24.8,Moderate,High,Poor,East,Low,Secondary,Good,Never,No,Stage I,2019,Alive
+P100947,71,Male,Former,40,14,High,Diesel Fumes,High,No,No,19.9,Low,Moderate,Good,South,Low,Primary,Good,Regularly,Yes,None,2012,Deceased
+P100948,44,Male,Former,1,30,High,Silica,High,Yes,No,20.0,High,None,Good,East,Middle,Secondary,Good,Regularly,Yes,Stage IV,2015,Alive
+P100949,35,Male,Current,33,13,Low,None,High,Yes,No,29.0,Moderate,Moderate,Average,North,Middle,Tertiary,Poor,Regularly,No,None,2001,Alive
+P100950,26,Female,Never,2,13,Low,Silica,Low,Yes,Yes,26.5,High,None,Good,East,High,Secondary,Average,Occasionally,Yes,None,2005,Alive
+P100951,36,Male,Current,15,5,High,Diesel Fumes,Low,Yes,No,29.2,Low,High,Poor,West,Low,Tertiary,Poor,Regularly,No,Stage II,2015,Alive
+P100952,44,Female,Current,3,13,High,Diesel Fumes,High,No,No,27.9,Low,Moderate,Poor,East,Middle,Tertiary,Average,Occasionally,No,Stage II,2017,Alive
+P100953,29,Male,Never,22,16,Medium,Silica,Low,No,No,25.3,High,None,Poor,West,Middle,Primary,Good,Never,No,None,2016,Alive
+P100954,61,Male,Never,49,17,Low,Diesel Fumes,High,Yes,No,25.1,Moderate,None,Poor,West,Low,Secondary,Average,Never,No,None,2014,Alive
+P100955,62,Female,Current,19,19,High,Asbestos,High,No,No,25.5,Low,High,Average,East,Low,Tertiary,Average,Occasionally,No,None,2006,Alive
+P100956,33,Male,Former,24,16,Low,None,High,Yes,No,23.2,Moderate,Moderate,Poor,East,High,Secondary,Average,Occasionally,Yes,None,2013,Alive
+P100957,77,Female,Never,29,15,Low,Asbestos,Moderate,No,No,23.2,Moderate,None,Poor,East,High,Tertiary,Average,Occasionally,No,None,2006,Deceased
+P100958,68,Female,Never,17,39,Low,Asbestos,Low,No,No,27.5,High,None,Poor,West,High,Primary,Poor,Never,No,None,2005,Alive
+P100959,48,Male,Former,41,38,Medium,Asbestos,Low,No,No,32.2,Low,High,Poor,North,Middle,Primary,Good,Never,No,None,2011,Alive
+P100960,54,Female,Current,10,31,High,Silica,High,No,No,16.6,High,Moderate,Average,South,Middle,Secondary,Good,Regularly,No,Stage I,2001,Alive
+P100961,83,Female,Current,28,8,High,Silica,Low,Yes,No,36.9,High,Moderate,Average,East,Middle,Secondary,Average,Regularly,No,Stage IV,2020,Alive
+P100962,38,Male,Current,16,26,Low,Diesel Fumes,High,Yes,Yes,28.5,High,None,Good,South,Middle,Secondary,Good,Never,No,None,2000,Deceased
+P100963,33,Male,Never,25,32,High,Silica,Low,Yes,No,27.2,Moderate,Moderate,Average,East,Middle,Secondary,Poor,Regularly,No,None,2017,Deceased
+P100964,64,Female,Former,22,9,Medium,Diesel Fumes,High,No,No,20.0,High,Moderate,Average,West,Low,Secondary,Average,Regularly,No,None,2004,Deceased
+P100965,49,Male,Former,47,16,Low,Silica,High,No,No,21.4,Low,Moderate,Average,West,High,Tertiary,Good,Occasionally,No,None,2020,Alive
+P100966,46,Female,Former,19,35,Medium,Diesel Fumes,Moderate,Yes,No,28.1,Moderate,Moderate,Good,South,High,Secondary,Good,Never,No,None,2006,Alive
+P100967,28,Female,Never,44,16,Medium,None,High,No,No,26.3,High,Moderate,Poor,North,High,Tertiary,Average,Occasionally,No,None,2014,Alive
+P100968,50,Male,Current,1,17,High,Diesel Fumes,Moderate,No,No,18.5,Low,Moderate,Good,West,High,Tertiary,Poor,Never,No,None,2020,Alive
+P100969,82,Male,Current,23,22,High,None,Low,Yes,Yes,20.7,High,Moderate,Poor,South,Low,Tertiary,Average,Never,No,None,2005,Deceased
+P100970,53,Male,Former,30,33,Medium,Diesel Fumes,Low,No,Yes,21.3,High,None,Average,West,Middle,Secondary,Average,Occasionally,No,None,2001,Alive
+P100971,61,Male,Current,26,7,High,Silica,Moderate,Yes,No,20.9,High,None,Poor,East,Middle,Primary,Good,Never,Yes,None,2020,Alive
+P100972,42,Female,Never,1,12,Medium,Silica,Low,No,No,26.4,Moderate,Moderate,Good,South,Middle,Primary,Good,Occasionally,No,None,2023,Alive
+P100973,66,Female,Former,13,22,Medium,None,Moderate,Yes,No,19.9,High,Moderate,Poor,South,High,Secondary,Average,Occasionally,No,None,2016,Alive
+P100974,65,Male,Current,3,19,Low,Asbestos,Low,No,No,28.9,Low,High,Poor,East,High,Secondary,Average,Never,No,Stage II,2012,Alive
+P100975,62,Male,Former,48,21,Medium,Asbestos,Moderate,No,No,17.6,High,None,Average,South,Low,Secondary,Good,Never,Yes,None,2012,Alive
+P100976,58,Female,Current,12,22,Medium,Diesel Fumes,Moderate,No,No,29.9,High,High,Poor,East,Low,Tertiary,Average,Occasionally,No,None,2013,Alive
+P100977,41,Female,Current,35,34,High,Silica,High,No,No,40.3,Moderate,None,Poor,North,Middle,Primary,Poor,Regularly,No,None,2022,Alive
+P100978,61,Female,Former,34,2,Low,Asbestos,Low,No,No,28.9,High,High,Average,East,Middle,Primary,Average,Regularly,No,None,2007,Alive
+P100979,49,Female,Current,43,33,High,Silica,High,Yes,Yes,22.3,Low,High,Good,North,Middle,Primary,Poor,Never,No,None,2014,Alive
+P100980,51,Male,Never,7,32,Low,Silica,Moderate,No,No,22.5,Low,High,Average,South,Middle,Primary,Average,Never,No,None,2010,Alive
+P100981,81,Female,Former,1,16,High,Silica,High,Yes,No,19.4,High,None,Poor,East,Middle,Tertiary,Average,Regularly,No,None,2012,Alive
+P100982,55,Female,Former,5,18,Medium,Diesel Fumes,Moderate,Yes,No,30.4,Low,None,Average,South,Middle,Secondary,Average,Never,No,None,2020,Alive
+P100983,30,Male,Former,30,29,Low,None,Low,Yes,No,25.8,Low,Moderate,Average,North,High,Tertiary,Good,Never,No,None,2019,Deceased
+P100984,64,Female,Current,9,22,Low,Diesel Fumes,Low,No,No,16.0,High,None,Poor,West,Low,Secondary,Good,Regularly,Yes,Stage I,2000,Alive
+P100985,36,Female,Former,43,14,Low,Asbestos,Low,Yes,No,17.7,Low,None,Good,West,Low,Secondary,Good,Never,No,None,2024,Alive
+P100986,77,Male,Current,20,13,Low,None,Moderate,No,No,16.2,Low,None,Average,West,High,Primary,Good,Regularly,Yes,None,2001,Deceased
+P100987,34,Male,Former,41,1,High,Asbestos,High,No,No,28.8,High,None,Good,West,Middle,Primary,Good,Regularly,Yes,Stage I,2010,Deceased
+P100988,69,Male,Former,9,38,High,None,Low,No,No,20.0,Moderate,Moderate,Average,West,Middle,Secondary,Good,Regularly,No,None,2013,Alive
+P100989,41,Female,Current,22,17,Low,None,Moderate,Yes,No,29.2,Moderate,Moderate,Poor,North,Middle,Secondary,Average,Never,No,None,2004,Alive
+P100990,50,Female,Never,2,5,Low,Diesel Fumes,High,No,Yes,22.2,High,None,Poor,West,Low,Primary,Poor,Occasionally,No,None,2006,Alive
+P100991,86,Male,Never,31,31,Low,Silica,Moderate,No,No,29.0,Moderate,High,Average,West,Low,Primary,Good,Occasionally,No,None,2023,Alive
+P100992,70,Male,Former,19,20,High,Silica,Moderate,No,No,23.7,Moderate,High,Average,South,Middle,Primary,Good,Occasionally,No,None,2015,Alive
+P100993,88,Female,Never,9,39,Low,None,Low,Yes,No,29.7,Moderate,None,Average,East,Middle,Primary,Average,Never,Yes,None,2010,Deceased
+P100994,26,Male,Never,28,27,Low,Diesel Fumes,Moderate,Yes,No,21.0,Moderate,Moderate,Poor,East,High,Primary,Good,Never,Yes,None,2014,Alive
+P100995,78,Male,Current,40,26,Low,Asbestos,Moderate,Yes,No,21.3,High,High,Average,East,Middle,Tertiary,Average,Never,No,None,2003,Deceased
+P100996,89,Male,Former,45,1,High,Asbestos,High,Yes,No,22.7,Moderate,Moderate,Poor,East,High,Tertiary,Good,Never,No,None,2009,Alive
+P100997,75,Female,Former,33,32,Medium,Silica,Low,No,No,29.2,Moderate,Moderate,Average,North,Middle,Tertiary,Poor,Occasionally,Yes,None,2000,Alive
+P100998,77,Female,Current,36,15,Medium,Silica,Moderate,Yes,No,19.6,High,High,Poor,East,Middle,Primary,Good,Regularly,No,None,2006,Alive
+P100999,60,Female,Former,19,38,High,Asbestos,Moderate,No,No,22.1,High,None,Average,South,Middle,Secondary,Good,Never,Yes,None,2011,Deceased
+P101000,50,Female,Current,7,21,Medium,Asbestos,High,Yes,No,23.8,Moderate,Moderate,Good,North,High,Secondary,Average,Never,No,Stage III,2010,Alive
+P101001,53,Female,Never,6,12,Low,Diesel Fumes,Moderate,No,No,27.0,Low,High,Good,West,High,Primary,Good,Never,No,None,2010,Alive
+P101002,45,Female,Former,5,1,Low,Asbestos,Moderate,Yes,No,23.0,High,Moderate,Poor,South,High,Tertiary,Average,Regularly,Yes,Stage II,2024,Alive
+P101003,35,Male,Current,10,13,High,Diesel Fumes,Moderate,Yes,No,27.9,High,High,Average,South,Low,Secondary,Poor,Occasionally,No,None,2016,Alive
+P101004,64,Female,Former,43,37,High,Silica,Moderate,Yes,No,21.3,Moderate,None,Good,West,Low,Primary,Good,Never,No,None,2000,Alive
+P101005,35,Female,Current,17,27,Medium,Asbestos,Moderate,No,No,29.9,Low,None,Average,West,Middle,Tertiary,Average,Occasionally,No,None,2014,Alive
+P101006,60,Male,Former,41,6,Medium,Silica,High,No,No,28.8,High,None,Average,South,High,Tertiary,Poor,Never,No,None,2022,Alive
+P101007,83,Female,Never,28,17,Low,None,Moderate,Yes,No,22.1,High,Moderate,Average,North,High,Tertiary,Poor,Occasionally,Yes,Stage III,2024,Alive
+P101008,63,Female,Former,24,35,High,None,Moderate,Yes,No,28.6,High,None,Good,West,Middle,Tertiary,Average,Never,No,Stage IV,2020,Deceased
+P101009,78,Male,Former,20,35,Medium,None,Moderate,Yes,No,19.5,Low,None,Poor,East,Middle,Tertiary,Average,Occasionally,No,None,2019,Alive
+P101010,79,Male,Current,45,3,Medium,Asbestos,Moderate,Yes,No,25.8,High,None,Good,South,Middle,Tertiary,Good,Never,No,None,2021,Alive
+P101011,48,Male,Never,2,29,Low,Silica,Low,Yes,No,21.1,High,None,Poor,South,Middle,Tertiary,Poor,Never,No,None,2024,Alive
+P101012,46,Female,Current,17,23,Low,Asbestos,Low,Yes,No,26.6,Low,High,Good,West,High,Tertiary,Poor,Occasionally,No,None,2017,Deceased
+P101013,80,Male,Current,23,19,Low,Silica,Low,No,No,24.2,High,High,Average,West,Low,Tertiary,Average,Occasionally,No,Stage IV,2020,Alive
+P101014,57,Female,Never,46,30,Low,Diesel Fumes,Low,No,No,21.2,Low,Moderate,Average,East,High,Tertiary,Poor,Regularly,Yes,Stage IV,2003,Alive
+P101015,60,Female,Former,37,23,Medium,Asbestos,High,No,No,17.1,Low,High,Average,East,Low,Primary,Average,Regularly,Yes,None,2018,Alive
+P101016,44,Female,Current,9,6,High,None,Low,No,No,23.9,Low,High,Good,East,Middle,Secondary,Good,Regularly,No,None,2004,Alive
+P101017,86,Female,Current,26,25,High,Diesel Fumes,High,No,No,31.0,Moderate,High,Good,East,Low,Primary,Average,Regularly,No,None,2013,Alive
+P101018,50,Male,Former,11,12,Low,Silica,Low,No,No,26.4,High,High,Poor,South,High,Secondary,Good,Occasionally,Yes,None,2022,Alive
+P101019,64,Male,Former,6,7,Low,Asbestos,High,Yes,No,17.2,High,High,Good,West,High,Primary,Average,Regularly,No,Stage III,2012,Alive
+P101020,41,Female,Former,16,4,Medium,Silica,Low,Yes,No,23.8,High,None,Poor,North,High,Secondary,Good,Never,No,Stage I,2018,Alive
+P101021,25,Male,Current,0,12,Low,Silica,Moderate,Yes,No,30.9,Low,Moderate,Good,West,High,Secondary,Poor,Occasionally,No,None,2018,Alive
+P101022,85,Female,Never,49,28,High,Asbestos,Low,Yes,No,23.5,Moderate,High,Average,West,High,Secondary,Average,Never,No,None,2015,Alive
+P101023,67,Female,Current,25,19,Low,Asbestos,Low,Yes,No,20.1,Low,High,Good,East,High,Primary,Average,Regularly,No,Stage IV,2021,Alive
+P101024,66,Female,Never,14,13,High,Silica,Low,No,No,33.7,High,Moderate,Average,East,Middle,Secondary,Average,Regularly,Yes,None,2020,Alive
+P101025,49,Male,Never,32,31,Low,Silica,Moderate,No,No,19.6,Low,High,Good,South,Low,Tertiary,Good,Regularly,No,None,2018,Deceased
+P101026,63,Female,Former,36,26,Low,Diesel Fumes,High,No,No,23.9,Moderate,High,Poor,East,Middle,Secondary,Average,Occasionally,Yes,None,2000,Alive
+P101027,59,Female,Former,46,24,High,None,High,No,No,21.9,High,Moderate,Good,South,Low,Primary,Average,Never,Yes,None,2009,Alive
+P101028,27,Male,Former,30,3,Medium,Silica,Moderate,No,No,28.3,Low,None,Average,West,Low,Primary,Poor,Never,Yes,None,2001,Alive
+P101029,68,Male,Former,34,20,Medium,None,Low,Yes,No,27.4,Moderate,None,Good,West,Low,Tertiary,Average,Occasionally,No,None,2014,Alive
+P101030,75,Male,Former,0,17,Low,Diesel Fumes,Low,No,No,20.5,Low,Moderate,Poor,West,High,Secondary,Average,Regularly,No,None,2018,Alive
+P101031,36,Male,Never,7,38,Low,None,Low,No,No,21.5,Low,None,Poor,South,High,Primary,Average,Regularly,Yes,None,2003,Alive
+P101032,43,Female,Former,11,14,High,None,High,No,No,25.7,High,None,Poor,South,High,Secondary,Average,Occasionally,No,None,2020,Alive
+P101033,68,Male,Current,18,37,High,Diesel Fumes,High,Yes,No,26.1,Moderate,None,Poor,South,Low,Tertiary,Poor,Never,No,None,2024,Alive
+P101034,83,Female,Former,24,23,Low,Silica,Moderate,Yes,No,23.9,Low,None,Good,East,Low,Tertiary,Average,Never,Yes,None,2003,Alive
+P101035,73,Male,Former,31,7,High,None,Moderate,Yes,Yes,23.5,Moderate,High,Poor,North,Low,Primary,Average,Never,Yes,None,2011,Alive
+P101036,85,Male,Former,11,27,Medium,Silica,High,Yes,No,18.9,High,Moderate,Good,East,Middle,Secondary,Poor,Never,No,None,2024,Alive
+P101037,41,Male,Current,12,20,Medium,Silica,Low,Yes,No,34.3,High,None,Good,North,High,Tertiary,Good,Regularly,No,Stage II,2020,Alive
+P101038,81,Male,Never,27,15,High,Asbestos,Low,Yes,No,28.2,High,None,Good,East,High,Tertiary,Good,Regularly,No,None,2018,Alive
+P101039,79,Male,Current,0,15,High,Silica,Low,No,No,25.0,Moderate,Moderate,Poor,West,High,Primary,Poor,Occasionally,No,None,2022,Alive
+P101040,71,Male,Current,5,34,High,Silica,Low,No,Yes,29.9,Moderate,High,Poor,South,Middle,Tertiary,Poor,Occasionally,Yes,None,2023,Alive
+P101041,36,Female,Current,7,16,Medium,None,Moderate,No,No,24.0,Low,None,Good,East,Middle,Primary,Good,Occasionally,No,None,2008,Alive
+P101042,86,Male,Never,3,8,Low,Silica,Moderate,Yes,Yes,20.9,Moderate,None,Good,South,Middle,Tertiary,Average,Regularly,No,None,2024,Alive
+P101043,32,Male,Current,4,34,High,Silica,High,Yes,No,26.7,High,High,Good,East,Low,Tertiary,Good,Regularly,No,Stage III,2021,Alive
+P101044,45,Male,Never,24,28,High,Asbestos,Moderate,Yes,No,25.7,Low,Moderate,Average,West,Middle,Primary,Average,Regularly,No,None,2015,Deceased
+P101045,49,Male,Former,21,38,High,Asbestos,Low,Yes,No,33.4,Moderate,None,Average,South,Low,Primary,Poor,Occasionally,No,Stage II,2014,Alive
+P101046,36,Female,Current,27,17,Low,None,High,No,Yes,21.3,High,None,Poor,West,Low,Secondary,Poor,Regularly,No,Stage IV,2008,Alive
+P101047,39,Male,Never,38,11,High,None,Moderate,Yes,No,20.2,High,Moderate,Average,North,High,Tertiary,Poor,Never,Yes,None,2018,Alive
+P101048,83,Male,Current,22,18,High,Asbestos,Moderate,Yes,No,35.5,Low,High,Good,South,High,Secondary,Good,Regularly,No,None,2017,Deceased
+P101049,50,Male,Never,3,21,Medium,Asbestos,Moderate,Yes,No,30.9,High,Moderate,Good,East,Middle,Secondary,Poor,Never,No,None,2020,Alive
+P101050,50,Male,Current,3,14,High,Diesel Fumes,Moderate,Yes,No,28.2,Moderate,None,Poor,South,Low,Primary,Good,Never,No,None,2006,Alive
+P101051,71,Female,Former,46,0,Medium,Silica,Moderate,Yes,No,21.6,High,High,Poor,North,Low,Tertiary,Average,Never,No,None,2015,Alive
+P101052,56,Male,Never,20,1,Low,None,Low,No,No,27.1,Low,High,Average,North,Low,Primary,Average,Regularly,Yes,Stage III,2014,Alive
+P101053,34,Female,Never,36,7,High,None,Low,Yes,No,18.5,High,High,Good,East,High,Tertiary,Average,Occasionally,No,Stage IV,2022,Deceased
+P101054,40,Male,Current,40,21,High,Silica,Low,Yes,No,22.4,High,Moderate,Poor,West,High,Primary,Poor,Never,No,None,2010,Alive
+P101055,41,Female,Never,1,24,Medium,Silica,Moderate,No,No,19.2,Moderate,Moderate,Poor,South,High,Tertiary,Average,Never,Yes,None,2005,Alive
+P101056,47,Female,Never,6,1,Low,None,High,Yes,No,21.2,Moderate,Moderate,Average,West,High,Secondary,Poor,Regularly,No,None,2002,Alive
+P101057,50,Male,Former,48,8,Low,Asbestos,Low,Yes,No,19.0,Moderate,None,Poor,West,High,Tertiary,Good,Regularly,Yes,None,2013,Alive
+P101058,31,Male,Current,15,8,Medium,Asbestos,Low,No,No,28.5,Moderate,Moderate,Average,East,High,Tertiary,Poor,Never,No,None,2005,Alive
+P101059,38,Female,Former,16,12,Low,Silica,Moderate,No,Yes,33.9,High,High,Good,South,Middle,Primary,Average,Occasionally,No,None,2016,Alive
+P101060,31,Female,Never,19,5,Low,None,High,No,No,29.9,Moderate,None,Average,North,Middle,Tertiary,Poor,Regularly,No,None,2018,Alive
+P101061,33,Male,Never,22,29,Low,Silica,Low,No,No,28.7,High,None,Poor,East,Middle,Tertiary,Poor,Never,No,None,2017,Alive
+P101062,72,Female,Never,33,14,Low,Asbestos,Low,No,Yes,23.3,Moderate,None,Average,West,Middle,Tertiary,Good,Occasionally,No,None,2019,Alive
+P101063,83,Female,Never,10,14,Low,Diesel Fumes,High,No,No,26.0,Moderate,High,Average,North,Low,Tertiary,Poor,Regularly,No,None,2015,Alive
+P101064,63,Female,Former,33,6,Low,Diesel Fumes,Moderate,No,No,19.6,Moderate,Moderate,Good,West,High,Secondary,Average,Occasionally,No,None,2023,Alive
+P101065,42,Male,Current,32,10,Low,Asbestos,High,No,No,18.5,High,High,Average,South,High,Primary,Poor,Never,No,Stage III,2002,Alive
+P101066,83,Female,Never,25,39,Low,Silica,Moderate,No,No,17.7,Moderate,Moderate,Poor,West,Middle,Tertiary,Poor,Occasionally,Yes,Stage II,2005,Alive
+P101067,41,Female,Former,1,37,High,Diesel Fumes,Low,No,No,18.9,High,None,Poor,North,Low,Primary,Average,Never,No,None,2016,Alive
+P101068,38,Female,Former,22,39,Medium,Asbestos,High,Yes,No,28.4,Moderate,None,Good,South,Middle,Secondary,Poor,Regularly,No,None,2019,Alive
+P101069,55,Male,Current,40,1,Low,None,High,No,No,29.0,Moderate,High,Good,East,High,Secondary,Good,Never,No,None,2004,Alive
+P101070,48,Male,Current,21,38,Medium,Silica,Low,No,No,20.5,Low,Moderate,Good,West,Middle,Tertiary,Average,Never,No,None,2020,Alive
+P101071,84,Female,Current,33,9,Low,Silica,Low,No,No,26.5,Moderate,None,Poor,South,Low,Primary,Average,Regularly,Yes,None,2015,Alive
+P101072,69,Male,Never,14,16,Low,Diesel Fumes,Moderate,No,No,30.7,High,High,Average,South,High,Primary,Poor,Never,No,None,2016,Alive
+P101073,27,Female,Never,9,6,High,Silica,Low,No,No,24.2,Low,High,Poor,East,Low,Primary,Good,Occasionally,No,Stage IV,2015,Alive
+P101074,61,Male,Former,14,39,Medium,Diesel Fumes,Low,Yes,No,21.3,High,Moderate,Poor,East,Middle,Secondary,Good,Regularly,No,None,2024,Alive
+P101075,67,Male,Never,41,38,Medium,Diesel Fumes,High,Yes,No,22.9,High,Moderate,Good,North,High,Secondary,Average,Occasionally,Yes,None,2020,Alive
+P101076,64,Female,Former,28,3,High,Asbestos,Moderate,Yes,No,32.2,Low,Moderate,Good,South,Low,Tertiary,Average,Regularly,No,None,2008,Alive
+P101077,79,Male,Current,22,34,High,Diesel Fumes,Low,No,No,24.7,Moderate,None,Average,South,Low,Primary,Poor,Never,No,None,2006,Alive
+P101078,63,Male,Current,16,35,Medium,None,High,No,No,35.7,Low,High,Average,North,Low,Primary,Average,Occasionally,No,None,2004,Alive
+P101079,39,Male,Current,8,30,Low,Silica,Low,Yes,No,21.7,High,Moderate,Average,West,High,Secondary,Good,Regularly,No,None,2008,Alive
+P101080,28,Female,Former,49,24,Low,Diesel Fumes,Low,No,No,22.5,Moderate,High,Average,South,High,Tertiary,Poor,Occasionally,No,None,2020,Alive
+P101081,49,Male,Current,35,12,Medium,Silica,Low,No,No,18.0,Low,None,Poor,South,Middle,Tertiary,Poor,Regularly,No,Stage I,2009,Alive
+P101082,37,Male,Former,8,17,Low,Diesel Fumes,Low,Yes,No,30.4,High,None,Average,West,Middle,Tertiary,Good,Regularly,No,None,2024,Alive
+P101083,57,Female,Never,15,20,High,Asbestos,Moderate,No,No,25.5,Moderate,Moderate,Poor,East,High,Secondary,Good,Occasionally,No,None,2020,Alive
+P101084,40,Male,Current,35,0,High,None,High,No,No,20.5,High,None,Poor,East,Low,Primary,Average,Occasionally,No,Stage I,2000,Alive
+P101085,66,Male,Never,47,35,High,Silica,High,No,No,23.2,Moderate,High,Average,East,High,Tertiary,Good,Occasionally,No,None,2006,Alive
+P101086,79,Male,Former,32,7,Medium,Asbestos,Low,No,No,27.4,Moderate,High,Average,North,High,Tertiary,Poor,Occasionally,Yes,None,2020,Alive
+P101087,66,Male,Former,30,20,Medium,Silica,High,No,No,20.9,Low,None,Poor,West,High,Primary,Poor,Regularly,No,None,2004,Alive
+P101088,58,Male,Current,5,20,Medium,Asbestos,Low,No,No,26.7,Moderate,None,Good,East,High,Tertiary,Good,Occasionally,Yes,None,2005,Alive
+P101089,54,Female,Current,9,26,Low,None,High,No,No,29.5,High,None,Average,North,Middle,Secondary,Average,Occasionally,No,None,2005,Alive
+P101090,37,Female,Former,15,18,Medium,Diesel Fumes,Moderate,Yes,No,22.8,Moderate,High,Good,West,Middle,Tertiary,Poor,Occasionally,Yes,Stage I,2022,Alive
+P101091,37,Male,Current,3,22,Medium,Asbestos,Moderate,Yes,No,15.7,High,None,Poor,East,Low,Primary,Average,Occasionally,No,None,2014,Alive
+P101092,42,Male,Never,21,34,High,Silica,High,No,No,23.6,Moderate,Moderate,Good,South,High,Secondary,Good,Occasionally,No,Stage I,2007,Alive
+P101093,56,Male,Former,12,39,Low,Silica,Low,No,No,22.5,Moderate,Moderate,Poor,South,High,Tertiary,Average,Occasionally,Yes,None,2000,Alive
+P101094,63,Female,Current,15,4,Low,Asbestos,Low,Yes,Yes,18.8,Low,High,Good,East,Middle,Primary,Poor,Never,Yes,None,2009,Alive
+P101095,70,Female,Current,28,7,High,None,Low,Yes,No,27.9,Moderate,None,Good,East,Middle,Primary,Good,Never,Yes,None,2002,Alive
+P101096,53,Male,Current,5,10,Low,None,Low,Yes,No,28.1,Moderate,None,Good,North,High,Primary,Poor,Regularly,No,None,2021,Alive
+P101097,86,Male,Never,25,15,Medium,Diesel Fumes,Moderate,Yes,No,26.1,High,None,Poor,South,Middle,Primary,Poor,Occasionally,No,None,2015,Alive
+P101098,86,Female,Current,10,38,Low,Diesel Fumes,Low,Yes,No,22.8,High,Moderate,Poor,West,High,Tertiary,Good,Occasionally,No,Stage III,2000,Alive
+P101099,81,Male,Current,23,23,High,Silica,Low,Yes,No,25.7,High,Moderate,Poor,East,Low,Tertiary,Average,Regularly,No,None,2015,Alive
+P101100,40,Female,Current,28,20,Low,Silica,Low,Yes,No,21.7,Moderate,Moderate,Average,West,Low,Secondary,Good,Occasionally,Yes,None,2013,Deceased
+P101101,80,Female,Never,2,22,High,Diesel Fumes,Low,No,No,28.4,High,Moderate,Poor,East,Low,Secondary,Poor,Occasionally,No,Stage III,2004,Deceased
+P101102,34,Male,Current,9,37,Medium,Diesel Fumes,Moderate,Yes,Yes,22.8,High,Moderate,Average,South,High,Primary,Poor,Occasionally,Yes,None,2015,Alive
+P101103,54,Female,Former,0,7,Medium,Diesel Fumes,High,Yes,No,23.7,Moderate,High,Poor,East,Middle,Primary,Poor,Never,No,None,2020,Alive
+P101104,49,Male,Never,42,6,High,Asbestos,High,Yes,Yes,24.2,High,High,Average,West,Low,Secondary,Good,Occasionally,No,None,2024,Alive
+P101105,29,Male,Former,25,1,Medium,Diesel Fumes,Low,No,No,41.3,Low,None,Good,South,High,Tertiary,Good,Never,No,Stage III,2010,Deceased
+P101106,89,Male,Former,11,29,Medium,Asbestos,Low,No,No,19.9,Low,None,Good,East,Low,Tertiary,Good,Occasionally,No,None,2017,Alive
+P101107,73,Male,Former,13,12,Low,Asbestos,High,No,No,22.6,High,Moderate,Poor,South,Low,Tertiary,Good,Occasionally,No,Stage II,2006,Alive
+P101108,27,Male,Current,24,22,Medium,Diesel Fumes,Moderate,Yes,No,17.0,High,None,Average,North,Middle,Primary,Average,Regularly,No,None,2024,Alive
+P101109,69,Male,Former,7,28,High,None,Moderate,Yes,No,26.3,High,High,Good,West,High,Secondary,Poor,Regularly,No,None,2007,Alive
+P101110,38,Female,Current,42,37,Medium,None,Moderate,Yes,No,33.7,Moderate,High,Good,East,Middle,Secondary,Average,Occasionally,No,None,2016,Deceased
+P101111,54,Female,Former,3,36,Low,Silica,Moderate,No,No,23.9,Low,None,Average,East,Middle,Secondary,Poor,Occasionally,No,None,2013,Deceased
+P101112,42,Female,Never,27,19,High,Diesel Fumes,Moderate,No,No,21.8,Low,Moderate,Poor,East,Middle,Tertiary,Poor,Occasionally,No,None,2016,Alive
+P101113,86,Female,Never,6,32,Medium,Silica,Moderate,No,No,24.7,High,High,Good,West,Low,Secondary,Average,Never,Yes,None,2011,Alive
+P101114,61,Male,Former,9,28,Medium,Diesel Fumes,Moderate,No,Yes,30.2,High,None,Poor,North,Low,Secondary,Good,Occasionally,No,Stage II,2017,Alive
+P101115,49,Female,Former,35,14,Medium,Silica,Moderate,No,No,31.9,Moderate,Moderate,Poor,West,Low,Tertiary,Poor,Regularly,No,None,2000,Alive
+P101116,72,Female,Never,1,22,High,Asbestos,Moderate,No,No,19.8,Moderate,None,Average,East,High,Primary,Good,Never,No,Stage III,2023,Alive
+P101117,89,Female,Former,25,2,Low,Diesel Fumes,Low,Yes,No,28.3,Low,Moderate,Average,West,Middle,Primary,Average,Occasionally,No,None,2006,Alive
+P101118,77,Male,Former,49,36,High,None,Moderate,No,No,24.5,Moderate,Moderate,Good,East,Low,Tertiary,Poor,Never,Yes,None,2005,Alive
+P101119,39,Female,Never,13,28,High,Diesel Fumes,Low,No,No,32.2,Low,High,Average,West,Middle,Secondary,Good,Never,Yes,None,2014,Alive
+P101120,73,Male,Former,15,7,Low,Silica,High,No,No,36.5,High,High,Good,South,Middle,Primary,Average,Never,Yes,None,2017,Alive
+P101121,36,Female,Never,42,21,High,Silica,Low,No,No,34.1,High,None,Good,West,Middle,Primary,Poor,Never,No,None,2010,Alive
+P101122,83,Male,Current,41,28,High,Silica,High,Yes,No,20.1,Low,None,Good,East,Middle,Primary,Average,Occasionally,No,Stage I,2024,Alive
+P101123,61,Male,Current,16,1,Medium,Silica,Low,Yes,No,20.8,High,Moderate,Poor,East,Middle,Tertiary,Good,Regularly,No,None,2016,Alive
+P101124,85,Female,Current,45,0,High,Silica,High,No,No,33.5,Moderate,High,Poor,West,Low,Primary,Poor,Never,No,None,2000,Alive
+P101125,67,Male,Never,21,19,Medium,Silica,Low,Yes,No,24.5,High,Moderate,Average,West,High,Secondary,Poor,Regularly,No,Stage III,2001,Alive
+P101126,63,Male,Current,3,20,High,None,Low,Yes,No,21.2,High,Moderate,Average,South,High,Tertiary,Poor,Never,Yes,None,2006,Alive
+P101127,80,Female,Current,18,36,Medium,Silica,High,Yes,No,18.2,Low,Moderate,Good,North,High,Tertiary,Average,Regularly,Yes,None,2009,Deceased
+P101128,87,Female,Current,1,7,Medium,None,Moderate,Yes,No,25.7,Moderate,Moderate,Good,North,High,Primary,Average,Never,No,None,2013,Deceased
+P101129,70,Female,Never,38,26,Medium,Diesel Fumes,Moderate,Yes,Yes,22.9,Moderate,Moderate,Poor,South,Middle,Secondary,Average,Never,Yes,None,2011,Deceased
+P101130,35,Male,Current,8,34,Low,Asbestos,Moderate,Yes,No,27.0,High,Moderate,Poor,North,Low,Tertiary,Average,Occasionally,No,None,2016,Alive
+P101131,86,Male,Current,18,5,High,None,Moderate,Yes,No,26.0,High,None,Good,North,Low,Primary,Good,Occasionally,No,None,2013,Alive
+P101132,49,Male,Former,15,18,High,Diesel Fumes,Moderate,No,No,18.9,Moderate,High,Good,East,Middle,Secondary,Average,Never,No,Stage I,2018,Alive
+P101133,76,Female,Current,24,17,High,Asbestos,Low,Yes,No,20.9,Moderate,High,Average,East,Middle,Secondary,Average,Regularly,No,None,2009,Alive
+P101134,28,Male,Former,47,0,Low,None,Moderate,No,No,29.7,Low,Moderate,Good,East,Low,Tertiary,Average,Occasionally,Yes,None,2023,Deceased
+P101135,83,Male,Former,17,24,Medium,None,Low,Yes,No,30.2,High,Moderate,Good,West,Low,Primary,Good,Occasionally,No,None,2011,Alive
+P101136,44,Male,Never,22,26,High,Diesel Fumes,High,Yes,No,23.1,High,Moderate,Good,West,High,Secondary,Good,Occasionally,No,None,2006,Alive
+P101137,87,Male,Current,20,6,Low,Silica,Moderate,Yes,No,25.9,Moderate,High,Poor,North,High,Tertiary,Poor,Occasionally,No,Stage II,2007,Alive
+P101138,78,Male,Never,10,28,Low,None,Moderate,No,No,19.8,Low,High,Poor,West,High,Tertiary,Average,Never,No,None,2012,Alive
+P101139,81,Male,Former,38,30,High,None,Moderate,Yes,No,24.7,Moderate,Moderate,Average,East,Low,Tertiary,Poor,Regularly,Yes,None,2005,Deceased
+P101140,65,Male,Never,40,35,Medium,Diesel Fumes,Moderate,No,No,30.5,High,High,Average,West,High,Tertiary,Poor,Occasionally,No,None,2007,Alive
+P101141,27,Female,Former,3,18,Low,Silica,Low,Yes,No,33.3,High,Moderate,Average,North,Low,Tertiary,Good,Occasionally,No,None,2004,Alive
+P101142,30,Female,Never,24,5,High,Asbestos,Low,Yes,No,24.4,High,Moderate,Good,East,Low,Secondary,Good,Regularly,No,Stage IV,2008,Alive
+P101143,29,Female,Current,31,24,Medium,Silica,Low,No,No,23.4,High,Moderate,Good,North,Middle,Tertiary,Poor,Occasionally,No,None,2010,Alive
+P101144,29,Male,Current,29,30,Low,Silica,High,Yes,No,17.8,Low,None,Poor,West,Low,Primary,Poor,Regularly,No,None,2012,Alive
+P101145,78,Male,Never,44,8,Low,Diesel Fumes,Low,Yes,Yes,22.0,High,High,Good,South,Middle,Primary,Average,Never,No,None,2000,Deceased
+P101146,71,Female,Never,25,19,High,Silica,Moderate,Yes,Yes,24.7,Moderate,High,Good,South,Middle,Secondary,Good,Occasionally,No,None,2006,Alive
+P101147,73,Male,Never,35,9,High,Diesel Fumes,High,No,No,24.1,Low,High,Poor,East,Low,Tertiary,Good,Regularly,No,Stage I,2005,Alive
+P101148,33,Female,Current,33,36,Medium,Asbestos,High,Yes,No,22.2,Low,Moderate,Average,North,Low,Tertiary,Poor,Occasionally,No,None,2007,Alive
+P101149,44,Male,Former,8,26,High,None,Moderate,Yes,No,30.9,High,None,Good,South,High,Secondary,Good,Never,No,None,2001,Alive
+P101150,85,Male,Former,11,12,High,None,Moderate,Yes,No,27.1,Low,Moderate,Poor,South,Low,Tertiary,Poor,Regularly,No,Stage II,2016,Alive
+P101151,59,Female,Never,1,1,Medium,Diesel Fumes,Moderate,No,No,24.2,High,Moderate,Poor,East,High,Tertiary,Poor,Regularly,No,None,2016,Deceased
+P101152,74,Female,Current,37,20,High,Diesel Fumes,Moderate,Yes,No,28.4,Low,Moderate,Average,East,High,Primary,Good,Regularly,Yes,None,2017,Alive
+P101153,86,Female,Current,4,32,Medium,Silica,Low,No,No,24.9,Low,None,Poor,North,Low,Tertiary,Average,Occasionally,No,Stage IV,2020,Alive
+P101154,41,Female,Current,4,23,Medium,Silica,High,Yes,No,32.8,Moderate,Moderate,Average,South,High,Secondary,Good,Regularly,No,None,2006,Alive
+P101155,27,Female,Current,21,33,Medium,None,Moderate,Yes,No,21.0,Moderate,Moderate,Average,North,Middle,Primary,Poor,Regularly,Yes,None,2014,Alive
+P101156,56,Male,Never,4,8,High,None,Low,No,No,26.6,Moderate,None,Average,North,Middle,Secondary,Poor,Regularly,No,None,2012,Alive
+P101157,37,Male,Never,3,1,Medium,None,Moderate,No,No,14.4,Low,Moderate,Average,East,Low,Secondary,Average,Never,No,Stage II,2024,Deceased
+P101158,38,Male,Never,8,29,High,Diesel Fumes,Low,No,No,23.0,Moderate,Moderate,Average,North,Low,Tertiary,Poor,Regularly,No,None,2019,Alive
+P101159,35,Female,Never,28,21,Medium,Asbestos,Moderate,No,No,25.8,Moderate,High,Poor,West,Low,Tertiary,Average,Regularly,No,Stage II,2024,Alive
+P101160,80,Female,Never,21,10,High,Asbestos,Moderate,No,No,23.4,Moderate,None,Good,North,Middle,Primary,Good,Regularly,No,None,2013,Alive
+P101161,53,Female,Never,26,16,Medium,Diesel Fumes,Moderate,Yes,Yes,19.5,Low,High,Average,South,High,Secondary,Average,Never,Yes,None,2014,Deceased
+P101162,33,Female,Former,9,35,Low,Silica,Low,Yes,No,21.5,High,Moderate,Average,North,Middle,Secondary,Poor,Regularly,Yes,None,2002,Alive
+P101163,49,Female,Current,15,12,Low,Asbestos,Moderate,No,No,20.0,Moderate,None,Good,West,High,Tertiary,Poor,Occasionally,Yes,None,2005,Alive
+P101164,66,Female,Current,41,6,Low,Silica,Low,Yes,No,24.4,Low,None,Good,West,High,Secondary,Average,Regularly,No,None,2008,Deceased
+P101165,33,Male,Current,41,15,Medium,None,Low,Yes,No,28.9,Low,Moderate,Average,South,Low,Secondary,Good,Occasionally,No,None,2013,Alive
+P101166,64,Male,Current,9,32,High,None,High,No,No,23.3,High,High,Good,South,Low,Secondary,Average,Never,No,Stage II,2015,Alive
+P101167,49,Male,Never,5,0,Medium,Silica,Low,No,No,34.0,Moderate,Moderate,Average,North,Low,Secondary,Poor,Never,Yes,None,2016,Alive
+P101168,29,Male,Current,48,10,Medium,None,Low,No,No,26.1,Low,None,Poor,West,Middle,Secondary,Good,Regularly,No,None,2011,Alive
+P101169,35,Male,Never,4,5,Medium,Diesel Fumes,Low,Yes,Yes,14.8,Low,None,Good,West,Middle,Primary,Average,Regularly,No,Stage IV,2003,Alive
+P101170,83,Female,Current,5,19,Medium,Silica,Low,No,No,26.7,Low,Moderate,Good,North,Middle,Secondary,Average,Never,No,None,2004,Alive
+P101171,62,Female,Former,46,34,High,Silica,Low,Yes,No,24.7,High,Moderate,Poor,South,Low,Secondary,Average,Never,No,None,2010,Alive
+P101172,29,Female,Current,24,36,Medium,Silica,High,No,No,31.9,Moderate,Moderate,Good,West,Low,Primary,Poor,Never,Yes,None,2021,Deceased
+P101173,72,Female,Never,49,25,Low,Asbestos,Moderate,No,No,24.9,Low,Moderate,Poor,North,High,Tertiary,Poor,Occasionally,Yes,None,2010,Alive
+P101174,42,Female,Never,3,11,Low,Silica,High,No,No,23.7,Low,High,Average,South,High,Tertiary,Poor,Occasionally,No,None,2007,Alive
+P101175,61,Female,Current,39,29,Low,Silica,High,No,No,35.4,Low,High,Good,North,Low,Primary,Good,Regularly,No,Stage II,2017,Alive
+P101176,84,Male,Never,47,27,Medium,Silica,Moderate,Yes,No,14.5,Low,High,Good,South,Middle,Primary,Good,Occasionally,No,None,2005,Alive
+P101177,72,Female,Current,31,26,High,Asbestos,Low,Yes,No,23.3,Moderate,High,Poor,South,Low,Tertiary,Good,Never,No,None,2006,Alive
+P101178,52,Female,Current,34,18,High,None,Moderate,Yes,No,26.3,Moderate,None,Average,West,Middle,Secondary,Poor,Regularly,No,None,2005,Alive
+P101179,64,Female,Current,9,4,High,Asbestos,Low,No,No,23.0,Low,None,Average,East,Low,Secondary,Good,Occasionally,No,None,2013,Alive
+P101180,69,Female,Current,33,4,Medium,Diesel Fumes,Moderate,Yes,No,14.5,Low,High,Poor,West,Low,Primary,Good,Regularly,No,Stage II,2019,Alive
+P101181,86,Male,Current,35,26,High,Silica,High,Yes,No,27.0,Low,Moderate,Good,North,High,Secondary,Average,Occasionally,No,None,2005,Deceased
+P101182,82,Male,Never,5,27,Low,Diesel Fumes,Low,Yes,No,22.7,High,None,Good,South,Middle,Primary,Poor,Regularly,No,Stage IV,2003,Alive
+P101183,80,Female,Current,42,25,High,Asbestos,High,No,Yes,24.3,High,Moderate,Poor,West,Middle,Tertiary,Average,Never,No,Stage II,2024,Deceased
+P101184,64,Male,Current,45,26,Medium,None,Low,Yes,No,31.3,High,High,Poor,South,Low,Secondary,Poor,Never,No,None,2012,Alive
+P101185,64,Male,Current,15,20,Medium,None,Moderate,No,Yes,26.5,Low,None,Poor,West,High,Tertiary,Poor,Never,Yes,None,2016,Alive
+P101186,57,Female,Never,18,0,High,Silica,Moderate,No,No,21.9,High,None,Good,North,Low,Secondary,Good,Occasionally,No,None,2011,Alive
+P101187,30,Female,Current,33,27,Medium,None,Moderate,Yes,No,27.0,Moderate,None,Poor,North,Low,Secondary,Average,Regularly,No,None,2008,Alive
+P101188,43,Female,Current,24,14,High,Asbestos,Moderate,Yes,No,22.9,High,None,Average,North,Middle,Secondary,Average,Regularly,No,None,2019,Alive
+P101189,64,Female,Current,30,16,High,Asbestos,Moderate,No,No,23.5,Low,High,Poor,West,Low,Primary,Good,Regularly,No,Stage III,2002,Alive
+P101190,83,Female,Former,48,25,Low,None,High,No,No,28.8,Moderate,None,Average,East,High,Tertiary,Average,Occasionally,Yes,None,2010,Alive
+P101191,83,Male,Never,40,19,Medium,Silica,High,No,No,21.8,Low,High,Average,North,Low,Primary,Average,Never,Yes,None,2004,Alive
+P101192,72,Female,Former,16,24,Low,Silica,Low,Yes,No,27.8,Moderate,None,Poor,West,High,Primary,Poor,Never,No,None,2002,Alive
+P101193,65,Female,Current,46,12,Medium,Asbestos,High,No,No,23.8,High,High,Average,East,Middle,Tertiary,Average,Regularly,No,None,2016,Alive
+P101194,37,Female,Current,29,32,High,None,Low,No,No,22.5,High,High,Good,West,Middle,Tertiary,Average,Regularly,No,None,2023,Alive
+P101195,69,Male,Former,38,24,Medium,Asbestos,Low,No,No,22.5,Moderate,Moderate,Poor,West,Low,Primary,Poor,Occasionally,No,None,2008,Deceased
+P101196,77,Female,Never,30,7,High,Asbestos,High,Yes,No,21.9,Moderate,High,Good,North,High,Primary,Good,Regularly,No,None,2005,Alive
+P101197,66,Female,Former,18,4,Medium,Diesel Fumes,High,No,No,25.4,Low,Moderate,Good,East,Middle,Primary,Poor,Regularly,No,None,2017,Alive
+P101198,87,Female,Former,34,5,Low,Asbestos,Low,No,No,23.6,Moderate,None,Average,West,High,Tertiary,Good,Occasionally,No,None,2005,Alive
+P101199,51,Male,Current,28,22,Low,Silica,High,No,No,31.8,Low,Moderate,Good,West,Middle,Primary,Good,Regularly,No,None,2005,Alive
+P101200,62,Female,Current,0,29,High,None,High,No,No,20.6,Moderate,High,Good,West,Middle,Tertiary,Poor,Never,Yes,None,2021,Alive
+P101201,84,Female,Former,3,13,Low,None,High,No,No,27.7,Moderate,Moderate,Poor,West,High,Primary,Poor,Occasionally,No,Stage I,2009,Alive
+P101202,31,Female,Former,27,22,High,Diesel Fumes,Moderate,Yes,No,30.7,High,None,Poor,North,High,Tertiary,Good,Never,No,None,2010,Deceased
+P101203,29,Male,Never,17,10,High,Diesel Fumes,Moderate,Yes,No,33.7,High,Moderate,Good,West,High,Primary,Poor,Regularly,No,None,2013,Alive
+P101204,69,Female,Current,25,30,High,Silica,Low,No,No,20.9,Low,High,Average,East,Middle,Secondary,Poor,Regularly,No,None,2011,Alive
+P101205,82,Female,Former,39,5,Medium,Diesel Fumes,High,No,Yes,30.1,Low,High,Average,South,High,Secondary,Average,Occasionally,No,None,2024,Alive
+P101206,55,Female,Former,18,10,High,Asbestos,Low,No,No,26.0,Low,None,Poor,East,Low,Tertiary,Poor,Occasionally,No,None,2019,Alive
+P101207,47,Male,Former,5,12,Low,Asbestos,High,No,Yes,30.3,Moderate,None,Poor,West,High,Tertiary,Poor,Occasionally,No,None,2017,Alive
+P101208,66,Female,Current,0,11,Medium,Silica,Moderate,No,No,21.8,Moderate,Moderate,Poor,West,Middle,Secondary,Average,Occasionally,Yes,None,2023,Alive
+P101209,34,Female,Current,7,1,Low,None,High,No,Yes,24.4,Low,None,Average,East,High,Tertiary,Good,Regularly,No,None,2021,Deceased
+P101210,56,Female,Current,32,34,High,Silica,High,Yes,No,23.2,Moderate,High,Poor,South,High,Tertiary,Good,Regularly,No,Stage IV,2014,Alive
+P101211,77,Male,Never,42,35,High,Diesel Fumes,High,No,No,22.7,High,Moderate,Good,North,High,Secondary,Poor,Never,No,None,2009,Alive
+P101212,54,Male,Former,20,16,Low,None,Moderate,No,No,25.2,Moderate,Moderate,Average,South,Low,Primary,Poor,Never,No,Stage III,2000,Deceased
+P101213,63,Female,Never,23,27,Medium,None,Moderate,Yes,No,37.5,High,Moderate,Good,South,Middle,Tertiary,Good,Occasionally,Yes,None,2014,Deceased
+P101214,55,Male,Current,24,27,Low,None,Moderate,Yes,No,28.3,Low,Moderate,Poor,South,Low,Tertiary,Poor,Regularly,No,None,2021,Alive
+P101215,26,Male,Never,46,21,High,Diesel Fumes,Low,Yes,No,23.2,Moderate,None,Average,East,Low,Primary,Good,Occasionally,No,None,2001,Alive
+P101216,36,Male,Former,42,37,Medium,Asbestos,High,Yes,Yes,23.5,Low,Moderate,Poor,South,Middle,Primary,Good,Occasionally,Yes,None,2019,Alive
+P101217,63,Female,Current,18,6,High,Asbestos,Moderate,No,No,27.8,High,Moderate,Average,North,Middle,Tertiary,Average,Occasionally,No,None,2001,Alive
+P101218,37,Female,Current,28,14,High,Diesel Fumes,Low,Yes,No,24.1,Low,Moderate,Poor,West,High,Tertiary,Average,Occasionally,No,Stage III,2003,Alive
+P101219,70,Male,Former,9,31,Low,Diesel Fumes,Moderate,Yes,No,24.1,High,High,Average,East,Middle,Primary,Poor,Occasionally,Yes,None,2022,Alive
+P101220,51,Male,Former,11,10,High,Silica,High,Yes,No,19.5,High,High,Average,East,High,Tertiary,Poor,Regularly,No,None,2023,Alive
+P101221,41,Male,Never,32,23,Low,Silica,Low,No,No,24.8,Low,None,Average,South,Low,Primary,Good,Never,Yes,None,2013,Alive
+P101222,84,Female,Current,6,2,Medium,Asbestos,Moderate,No,No,12.4,High,High,Good,West,High,Primary,Poor,Occasionally,No,None,2018,Alive
+P101223,88,Female,Current,16,29,High,Diesel Fumes,Moderate,No,No,16.2,Low,High,Poor,West,Middle,Tertiary,Average,Regularly,No,Stage II,2013,Alive
+P101224,59,Male,Never,9,5,High,Silica,Low,Yes,No,23.2,Low,None,Poor,West,High,Tertiary,Good,Occasionally,No,None,2012,Alive
+P101225,54,Male,Former,30,1,Medium,Diesel Fumes,Low,No,No,28.3,Low,None,Average,East,Low,Primary,Good,Regularly,No,None,2000,Alive
+P101226,87,Male,Current,5,13,Low,Diesel Fumes,Low,Yes,No,33.1,High,Moderate,Good,North,Middle,Tertiary,Poor,Never,Yes,Stage III,2009,Alive
+P101227,52,Male,Current,16,17,High,Asbestos,Low,Yes,No,27.0,High,Moderate,Average,West,Middle,Primary,Good,Never,No,None,2013,Alive
+P101228,84,Female,Never,49,30,Medium,Asbestos,Low,Yes,No,27.7,Moderate,None,Poor,East,High,Secondary,Good,Regularly,No,None,2016,Alive
+P101229,61,Male,Former,36,12,High,Diesel Fumes,Moderate,Yes,No,25.6,Low,Moderate,Poor,South,High,Secondary,Good,Occasionally,No,None,2015,Alive
+P101230,46,Female,Never,17,25,Low,None,Low,No,No,29.2,Low,Moderate,Average,West,High,Primary,Average,Never,No,None,2014,Deceased
+P101231,44,Male,Never,25,11,Low,None,Low,No,No,26.1,Low,Moderate,Average,South,Low,Primary,Good,Occasionally,No,None,2010,Alive
+P101232,88,Male,Current,48,17,Low,Diesel Fumes,High,No,No,26.9,Low,None,Average,West,Low,Tertiary,Average,Occasionally,No,None,2022,Alive
+P101233,41,Male,Current,15,8,Low,Asbestos,Moderate,No,No,17.2,Low,High,Poor,South,Middle,Primary,Good,Regularly,No,None,2011,Alive
+P101234,36,Male,Current,7,20,Medium,None,High,Yes,No,26.3,Low,High,Average,East,Middle,Primary,Poor,Occasionally,No,None,2000,Alive
+P101235,46,Male,Never,23,39,High,Asbestos,Moderate,Yes,No,25.1,Low,None,Average,South,Low,Tertiary,Poor,Regularly,No,Stage II,2002,Alive
+P101236,41,Female,Current,12,23,Medium,None,Moderate,Yes,No,22.9,Moderate,None,Poor,East,High,Tertiary,Good,Regularly,No,None,2010,Alive
+P101237,34,Male,Former,28,33,Low,Diesel Fumes,Moderate,Yes,No,23.3,Moderate,Moderate,Average,South,High,Secondary,Poor,Regularly,No,Stage IV,2020,Alive
+P101238,89,Male,Former,31,7,Low,Silica,Low,Yes,No,18.3,Low,None,Good,South,Low,Primary,Average,Never,No,None,2010,Alive
+P101239,46,Male,Former,23,32,Low,Silica,High,No,No,27.7,Low,None,Poor,South,High,Primary,Good,Occasionally,No,Stage I,2004,Alive
+P101240,74,Female,Never,15,22,Low,Asbestos,Moderate,No,No,26.2,Moderate,None,Average,West,Low,Secondary,Average,Regularly,No,None,2014,Alive
+P101241,38,Female,Current,10,12,High,Asbestos,Moderate,Yes,No,25.3,Moderate,None,Average,North,High,Primary,Good,Regularly,No,None,2019,Alive
+P101242,88,Female,Former,31,13,Low,None,Moderate,Yes,No,26.2,Low,Moderate,Poor,North,High,Tertiary,Average,Occasionally,No,None,2023,Alive
+P101243,71,Female,Never,5,13,High,Diesel Fumes,High,No,No,18.8,Low,Moderate,Poor,West,Middle,Primary,Poor,Never,No,None,2015,Alive
+P101244,53,Male,Never,34,15,Low,None,Moderate,No,No,33.8,Moderate,None,Good,South,High,Tertiary,Average,Regularly,No,None,2002,Alive
+P101245,60,Male,Never,32,37,High,Diesel Fumes,High,Yes,No,29.7,Moderate,None,Average,South,High,Primary,Average,Regularly,No,None,2007,Deceased
+P101246,76,Male,Never,17,38,High,Diesel Fumes,High,No,No,28.1,Low,High,Average,West,Low,Secondary,Poor,Regularly,No,None,2015,Alive
+P101247,31,Female,Former,36,25,Low,Asbestos,Low,No,No,32.4,Moderate,High,Average,East,Low,Tertiary,Poor,Regularly,No,None,2015,Alive
+P101248,53,Male,Current,12,25,Medium,Silica,Moderate,Yes,No,26.1,Low,None,Poor,East,Low,Tertiary,Good,Occasionally,No,None,2021,Alive
+P101249,35,Male,Never,9,0,Medium,Silica,Moderate,Yes,No,23.6,High,High,Poor,West,Low,Secondary,Good,Regularly,No,None,2003,Alive
+P101250,57,Female,Never,36,31,Medium,Asbestos,High,No,No,26.4,Low,High,Poor,North,High,Tertiary,Average,Never,No,None,2014,Deceased
+P101251,30,Female,Former,25,14,Medium,Silica,High,No,No,32.6,Low,Moderate,Average,East,Low,Secondary,Good,Occasionally,No,None,2018,Alive
+P101252,56,Female,Current,45,20,Medium,Asbestos,Low,Yes,No,20.5,Low,Moderate,Average,West,Middle,Primary,Average,Never,Yes,Stage III,2014,Alive
+P101253,75,Male,Former,16,17,Low,None,Moderate,No,No,32.6,Moderate,Moderate,Poor,East,Low,Secondary,Good,Occasionally,No,None,2012,Alive
+P101254,82,Male,Former,0,29,Low,Diesel Fumes,High,No,No,18.2,Low,High,Good,West,High,Primary,Poor,Occasionally,No,None,2009,Alive
+P101255,50,Female,Former,24,12,Low,Silica,Moderate,No,Yes,27.7,Low,None,Average,East,Middle,Tertiary,Poor,Occasionally,No,None,2001,Deceased
+P101256,70,Male,Never,33,23,Low,Silica,Moderate,Yes,Yes,30.1,Moderate,Moderate,Good,East,High,Tertiary,Poor,Never,Yes,None,2005,Deceased
+P101257,53,Female,Never,38,29,Low,None,Moderate,No,No,28.2,High,High,Poor,West,Middle,Secondary,Poor,Never,No,Stage II,2016,Alive
+P101258,28,Female,Current,9,1,Low,None,High,No,No,30.2,High,None,Average,North,Middle,Primary,Average,Regularly,No,None,2007,Alive
+P101259,37,Male,Current,19,18,High,Silica,Moderate,Yes,No,24.4,Moderate,Moderate,Good,North,Middle,Secondary,Poor,Never,Yes,Stage III,2015,Deceased
+P101260,63,Female,Former,6,24,High,Silica,High,Yes,No,18.6,Low,High,Average,East,High,Tertiary,Poor,Regularly,No,None,2020,Deceased
+P101261,39,Female,Current,15,13,Low,Asbestos,Low,No,No,30.3,High,Moderate,Good,East,Middle,Tertiary,Poor,Occasionally,No,None,2012,Alive
+P101262,53,Female,Current,36,5,Low,Asbestos,Low,Yes,No,34.2,High,High,Average,North,High,Primary,Poor,Regularly,No,None,2022,Deceased
+P101263,53,Male,Never,28,11,High,Silica,High,Yes,No,24.2,Moderate,Moderate,Good,West,Middle,Primary,Good,Never,No,None,2011,Alive
+P101264,56,Female,Former,11,19,High,Asbestos,Moderate,No,No,28.4,High,High,Good,South,Low,Tertiary,Average,Occasionally,No,None,2015,Alive
+P101265,26,Female,Never,16,22,Low,None,Low,Yes,No,20.9,High,None,Poor,East,Low,Tertiary,Average,Occasionally,No,None,2006,Alive
+P101266,71,Female,Never,47,29,High,Diesel Fumes,Low,No,No,20.5,Moderate,Moderate,Poor,South,Middle,Primary,Good,Regularly,No,None,2009,Alive
+P101267,46,Female,Current,19,29,Medium,Asbestos,High,No,No,25.5,High,Moderate,Good,East,Middle,Secondary,Good,Regularly,No,None,2005,Alive
+P101268,51,Female,Current,25,37,Medium,Diesel Fumes,High,Yes,No,21.4,Low,High,Average,North,Low,Secondary,Average,Never,No,None,2004,Alive
+P101269,80,Female,Current,47,29,Medium,Asbestos,High,No,No,25.5,Moderate,None,Good,West,Low,Primary,Average,Occasionally,No,None,2017,Alive
+P101270,45,Female,Current,18,29,High,Silica,High,No,No,40.2,Low,None,Average,East,High,Primary,Good,Regularly,No,Stage I,2015,Alive
+P101271,71,Male,Never,46,35,Low,Asbestos,High,No,Yes,21.5,Low,Moderate,Average,South,Low,Primary,Poor,Occasionally,No,None,2002,Alive
+P101272,83,Male,Never,11,33,Low,Diesel Fumes,High,No,No,26.7,Moderate,High,Average,North,High,Tertiary,Average,Never,Yes,Stage III,2002,Alive
+P101273,30,Female,Current,20,15,Low,Diesel Fumes,High,No,No,16.2,High,Moderate,Average,East,Middle,Secondary,Good,Occasionally,No,None,2004,Alive
+P101274,43,Male,Former,41,23,High,Silica,Moderate,Yes,No,27.6,Moderate,High,Poor,West,High,Primary,Poor,Regularly,No,None,2001,Alive
+P101275,81,Male,Current,33,13,High,Diesel Fumes,Moderate,Yes,No,21.5,High,None,Good,East,Middle,Secondary,Poor,Never,Yes,None,2000,Deceased
+P101276,27,Female,Current,6,25,Medium,Silica,Moderate,No,No,26.5,Low,Moderate,Average,West,High,Tertiary,Good,Never,No,Stage II,2003,Alive
+P101277,25,Male,Current,44,7,High,Silica,Moderate,No,No,26.3,High,High,Poor,West,High,Tertiary,Average,Occasionally,No,None,2009,Alive
+P101278,82,Female,Current,34,13,Medium,Diesel Fumes,Low,Yes,No,25.7,Low,None,Average,North,High,Primary,Average,Regularly,No,None,2012,Alive
+P101279,62,Female,Never,14,30,Medium,None,Moderate,No,No,20.3,Low,High,Average,East,Middle,Primary,Poor,Occasionally,No,None,2002,Deceased
+P101280,39,Female,Current,0,1,Low,Diesel Fumes,Low,No,No,23.6,Low,Moderate,Poor,West,Middle,Primary,Good,Occasionally,No,None,2010,Alive
+P101281,58,Female,Current,25,3,High,Diesel Fumes,Low,No,No,26.2,Moderate,High,Poor,North,High,Primary,Poor,Occasionally,Yes,None,2002,Alive
+P101282,85,Female,Never,34,0,Low,Asbestos,Low,Yes,No,23.8,High,Moderate,Average,East,Middle,Secondary,Poor,Regularly,No,None,2009,Alive
+P101283,59,Male,Current,24,19,Low,Diesel Fumes,High,No,No,32.0,High,None,Good,West,High,Primary,Poor,Occasionally,No,Stage IV,2021,Alive
+P101284,88,Female,Former,41,13,High,Asbestos,Low,Yes,No,25.2,High,High,Poor,North,Middle,Secondary,Good,Occasionally,Yes,None,2008,Deceased
+P101285,49,Male,Current,14,39,High,Asbestos,Low,No,No,20.0,Low,None,Good,East,High,Tertiary,Average,Never,Yes,None,2009,Alive
+P101286,48,Female,Never,21,24,Medium,Diesel Fumes,Low,No,No,27.2,Moderate,None,Average,West,Low,Tertiary,Poor,Never,No,None,2012,Alive
+P101287,36,Female,Former,5,24,Medium,Silica,High,Yes,Yes,12.8,High,Moderate,Average,North,Low,Secondary,Average,Never,No,None,2017,Alive
+P101288,42,Female,Never,14,2,Medium,None,Moderate,Yes,Yes,34.8,High,Moderate,Average,North,High,Secondary,Average,Regularly,No,Stage III,2020,Alive
+P101289,39,Male,Current,23,4,Medium,Diesel Fumes,Moderate,No,No,16.4,Moderate,None,Average,East,Middle,Primary,Good,Occasionally,No,None,2017,Alive
+P101290,51,Female,Never,20,37,Low,Diesel Fumes,Low,No,No,29.5,High,Moderate,Average,North,High,Primary,Average,Occasionally,No,None,2021,Alive
+P101291,84,Female,Never,6,25,Low,Silica,Low,No,No,28.7,Moderate,None,Average,East,Low,Primary,Average,Never,No,Stage IV,2016,Alive
+P101292,70,Female,Former,28,39,High,Asbestos,Moderate,Yes,Yes,19.3,Moderate,Moderate,Good,East,Low,Tertiary,Poor,Occasionally,No,None,2016,Alive
+P101293,41,Female,Current,31,37,Medium,Silica,Moderate,No,No,27.8,High,Moderate,Poor,West,High,Secondary,Good,Regularly,No,None,2024,Deceased
+P101294,77,Male,Never,31,37,Medium,Silica,Moderate,Yes,No,21.6,Moderate,High,Average,East,Low,Secondary,Good,Occasionally,No,None,2004,Alive
+P101295,32,Female,Never,4,3,Medium,Asbestos,Moderate,No,No,24.2,Moderate,High,Poor,North,High,Secondary,Poor,Never,No,None,2008,Alive
+P101296,51,Male,Current,3,6,Low,Diesel Fumes,Low,No,No,27.4,High,Moderate,Good,East,Low,Secondary,Poor,Regularly,No,None,2011,Alive
+P101297,70,Female,Former,21,29,High,Silica,Low,No,No,24.8,Low,None,Average,West,Middle,Primary,Average,Occasionally,Yes,None,2011,Alive
+P101298,74,Male,Current,17,29,Low,Silica,Low,No,No,20.0,High,None,Average,North,Middle,Primary,Average,Occasionally,No,None,2023,Alive
+P101299,27,Male,Never,34,18,High,Diesel Fumes,Moderate,No,No,27.1,High,None,Poor,West,Middle,Secondary,Good,Occasionally,Yes,None,2024,Alive
+P101300,88,Female,Current,16,38,High,Diesel Fumes,High,No,No,24.0,Low,Moderate,Poor,South,High,Primary,Good,Regularly,Yes,Stage I,2024,Deceased
+P101301,68,Female,Never,49,34,Low,None,Moderate,No,No,24.4,Moderate,Moderate,Poor,West,High,Tertiary,Average,Occasionally,No,None,2023,Alive
+P101302,77,Male,Never,49,39,Low,Silica,Moderate,Yes,No,24.7,High,None,Average,South,Middle,Primary,Poor,Never,No,None,2018,Deceased
+P101303,48,Female,Current,23,32,High,None,High,No,No,18.3,Low,High,Poor,South,Middle,Tertiary,Good,Never,Yes,None,2006,Alive
+P101304,84,Female,Former,1,32,Low,Asbestos,High,No,No,19.4,Low,High,Poor,East,Middle,Tertiary,Poor,Never,No,None,2019,Alive
+P101305,27,Female,Current,12,13,Low,Diesel Fumes,Moderate,No,No,22.1,High,None,Good,North,Low,Secondary,Average,Never,No,Stage III,2023,Alive
+P101306,44,Male,Former,14,37,High,Diesel Fumes,High,No,Yes,27.1,High,Moderate,Average,East,Middle,Secondary,Good,Regularly,Yes,Stage IV,2022,Deceased
+P101307,70,Female,Former,4,9,High,None,High,Yes,No,20.4,Low,Moderate,Average,North,Low,Primary,Good,Never,No,None,2011,Alive
+P101308,39,Female,Former,2,27,Medium,Silica,High,Yes,No,30.9,High,None,Average,West,Middle,Secondary,Average,Never,No,None,2008,Deceased
+P101309,49,Female,Current,36,13,Low,Asbestos,Moderate,No,No,26.0,Low,High,Poor,South,High,Tertiary,Average,Never,No,None,2007,Alive
+P101310,41,Male,Never,36,35,High,Silica,Moderate,No,No,26.8,High,None,Good,South,Middle,Tertiary,Poor,Regularly,No,None,2018,Deceased
+P101311,33,Female,Never,36,37,Low,Silica,High,Yes,No,23.3,Low,None,Poor,South,Low,Primary,Poor,Regularly,No,Stage I,2020,Alive
+P101312,62,Male,Former,2,15,Low,None,Low,Yes,Yes,17.0,High,None,Average,West,Middle,Tertiary,Average,Occasionally,No,None,2002,Deceased
+P101313,72,Female,Former,34,20,High,Silica,High,Yes,No,27.7,High,High,Poor,West,Low,Secondary,Average,Never,No,Stage III,2010,Alive
+P101314,84,Male,Never,22,27,Medium,None,High,No,No,21.4,High,None,Average,East,Middle,Primary,Average,Occasionally,No,Stage II,2011,Alive
+P101315,87,Female,Current,27,32,High,Diesel Fumes,Moderate,Yes,No,17.5,Moderate,High,Poor,East,Low,Primary,Good,Regularly,No,None,2024,Alive
+P101316,26,Female,Never,29,5,High,Diesel Fumes,Low,Yes,No,20.8,High,Moderate,Poor,North,Low,Primary,Average,Occasionally,No,None,2016,Alive
+P101317,35,Male,Current,17,14,Low,Diesel Fumes,High,No,No,24.6,Low,High,Average,North,Middle,Secondary,Good,Regularly,No,None,2006,Alive
+P101318,88,Male,Never,35,2,Medium,Asbestos,Low,No,No,13.1,Low,High,Poor,South,Middle,Tertiary,Average,Occasionally,No,None,2024,Alive
+P101319,45,Male,Current,32,34,High,Asbestos,Moderate,No,No,23.3,Moderate,None,Average,West,High,Secondary,Good,Never,No,None,2002,Alive
+P101320,42,Female,Current,25,13,Low,Silica,Low,Yes,Yes,30.0,Moderate,Moderate,Poor,West,High,Primary,Poor,Regularly,No,None,2006,Alive
+P101321,88,Female,Never,47,1,High,None,Moderate,Yes,No,25.2,Moderate,None,Poor,East,High,Tertiary,Poor,Regularly,No,None,2006,Alive
+P101322,62,Female,Current,39,28,Low,Silica,High,Yes,No,31.0,High,High,Poor,East,Low,Primary,Good,Regularly,Yes,None,2013,Alive
+P101323,56,Female,Former,16,3,High,Diesel Fumes,Moderate,Yes,No,23.0,High,High,Average,North,Low,Secondary,Poor,Never,No,None,2001,Alive
+P101324,35,Male,Current,39,25,Medium,Silica,Low,No,No,30.8,Low,None,Poor,North,High,Primary,Poor,Never,No,Stage II,2015,Alive
+P101325,69,Female,Current,6,11,High,Silica,Low,Yes,No,18.3,Low,Moderate,Poor,East,High,Secondary,Good,Regularly,No,None,2020,Deceased
+P101326,57,Female,Former,7,1,Low,Silica,Low,No,No,28.0,High,High,Good,East,Middle,Primary,Average,Regularly,No,None,2009,Alive
+P101327,65,Female,Never,30,16,High,Diesel Fumes,High,Yes,No,24.5,Low,High,Good,West,High,Primary,Average,Never,No,None,2013,Deceased
+P101328,32,Female,Former,11,34,Medium,None,Low,Yes,No,31.8,High,High,Average,North,Low,Primary,Good,Never,No,Stage I,2006,Alive
+P101329,35,Female,Never,47,9,Medium,Silica,Low,Yes,No,22.9,Moderate,Moderate,Average,East,Middle,Secondary,Poor,Never,Yes,None,2001,Alive
+P101330,75,Female,Never,30,21,Medium,Diesel Fumes,Low,No,No,19.7,High,None,Average,East,High,Secondary,Average,Never,No,None,2009,Deceased
+P101331,65,Female,Never,43,20,Medium,Asbestos,Moderate,Yes,No,27.5,High,Moderate,Average,South,High,Secondary,Average,Never,Yes,None,2001,Alive
+P101332,41,Male,Former,18,14,Low,None,Low,No,No,33.2,High,Moderate,Poor,East,High,Secondary,Poor,Never,No,Stage I,2012,Deceased
+P101333,70,Female,Current,9,34,High,Diesel Fumes,Moderate,No,Yes,26.2,Low,High,Poor,East,Middle,Secondary,Good,Occasionally,No,Stage I,2021,Alive
+P101334,56,Female,Never,38,20,Medium,Silica,Low,No,No,24.8,High,Moderate,Average,West,Middle,Tertiary,Good,Never,No,Stage II,2001,Alive
+P101335,78,Female,Never,11,20,High,Diesel Fumes,Moderate,No,No,18.9,High,High,Average,East,Middle,Primary,Average,Never,No,None,2009,Deceased
+P101336,44,Female,Current,19,20,Low,None,Moderate,Yes,Yes,29.7,High,Moderate,Good,North,High,Secondary,Good,Regularly,No,None,2013,Alive
+P101337,57,Male,Never,36,31,High,Silica,High,Yes,No,24.7,Moderate,Moderate,Average,South,Middle,Tertiary,Poor,Regularly,No,None,2016,Deceased
+P101338,64,Male,Never,47,4,High,Asbestos,High,No,No,28.5,High,None,Good,West,Middle,Tertiary,Good,Occasionally,No,None,2018,Alive
+P101339,56,Male,Never,40,38,Medium,Asbestos,Moderate,No,No,26.0,High,Moderate,Average,North,Middle,Primary,Good,Never,No,None,2011,Alive
+P101340,26,Male,Current,6,8,Medium,Asbestos,Moderate,Yes,No,35.2,High,None,Average,South,Middle,Primary,Good,Regularly,No,None,2016,Alive
+P101341,57,Male,Current,13,17,Low,Diesel Fumes,High,Yes,No,22.2,Low,High,Poor,South,Low,Primary,Good,Regularly,No,None,2005,Alive
+P101342,54,Male,Former,10,20,High,None,Moderate,No,No,22.4,Moderate,High,Average,East,High,Secondary,Poor,Occasionally,Yes,Stage II,2003,Alive
+P101343,57,Female,Current,6,7,Low,Asbestos,High,Yes,No,30.1,Moderate,None,Good,South,Middle,Primary,Good,Never,No,None,2001,Alive
+P101344,50,Male,Former,28,33,Low,Silica,High,Yes,No,30.2,High,High,Poor,South,Low,Primary,Average,Regularly,No,None,2014,Alive
+P101345,46,Male,Current,9,9,Low,Silica,Low,Yes,No,30.3,High,High,Good,East,Low,Primary,Good,Never,No,None,2022,Alive
+P101346,62,Female,Current,28,23,Medium,Silica,Low,No,No,24.9,Low,Moderate,Average,West,High,Tertiary,Average,Occasionally,No,None,2022,Alive
+P101347,70,Male,Current,8,39,Medium,Diesel Fumes,High,No,No,26.0,High,None,Poor,East,High,Secondary,Poor,Occasionally,Yes,None,2023,Alive
+P101348,39,Female,Never,35,23,High,None,High,No,No,18.3,Low,High,Good,West,Middle,Primary,Good,Never,No,None,2015,Alive
+P101349,68,Female,Never,47,31,High,None,Moderate,No,No,24.2,High,None,Average,South,High,Tertiary,Average,Occasionally,No,None,2011,Alive
+P101350,73,Male,Former,9,32,High,Asbestos,High,No,No,26.4,Low,Moderate,Good,North,High,Secondary,Good,Regularly,No,None,2006,Alive
+P101351,85,Female,Current,18,37,Medium,None,High,Yes,No,26.4,Moderate,High,Average,West,High,Primary,Good,Occasionally,No,None,2012,Alive
+P101352,30,Male,Former,30,33,Medium,Silica,Low,Yes,No,21.2,High,High,Good,West,High,Tertiary,Average,Occasionally,No,None,2000,Alive
+P101353,33,Male,Current,16,10,Low,Silica,High,Yes,No,19.5,Low,None,Average,West,Middle,Secondary,Poor,Never,No,None,2018,Alive
+P101354,30,Female,Current,8,30,Medium,Diesel Fumes,Moderate,No,No,30.2,Low,High,Good,West,Low,Primary,Poor,Regularly,No,None,2012,Alive
+P101355,56,Female,Never,44,17,Low,Silica,High,Yes,Yes,29.4,High,None,Poor,South,High,Primary,Poor,Never,No,None,2000,Alive
+P101356,65,Male,Current,32,22,Low,None,Low,No,No,23.8,Low,High,Average,North,Low,Tertiary,Poor,Never,No,None,2001,Alive
+P101357,32,Female,Current,33,21,Medium,Silica,Low,No,No,30.2,High,Moderate,Average,West,Low,Primary,Poor,Never,No,None,2000,Alive
+P101358,74,Female,Current,44,17,Low,Asbestos,Low,No,No,29.7,High,Moderate,Good,North,Low,Tertiary,Poor,Occasionally,No,None,2011,Alive
+P101359,86,Male,Current,23,39,Low,Diesel Fumes,Low,No,No,16.6,Low,None,Average,South,High,Tertiary,Good,Occasionally,No,None,2024,Alive
+P101360,86,Male,Current,8,38,High,Diesel Fumes,High,No,No,24.5,Low,High,Poor,West,High,Tertiary,Good,Never,No,Stage IV,2022,Alive
+P101361,31,Female,Never,6,19,Low,None,Moderate,No,No,31.7,Low,High,Good,North,Middle,Secondary,Average,Occasionally,No,None,2024,Alive
+P101362,28,Male,Current,15,12,Medium,Silica,Moderate,Yes,No,17.0,Moderate,None,Good,West,High,Tertiary,Poor,Occasionally,No,None,2023,Alive
+P101363,30,Male,Never,18,0,Medium,Silica,Moderate,No,No,17.7,High,Moderate,Good,West,High,Secondary,Poor,Never,No,None,2009,Alive
+P101364,82,Male,Current,38,3,Low,None,High,Yes,No,28.1,High,Moderate,Poor,South,High,Primary,Poor,Regularly,No,None,2001,Alive
+P101365,46,Male,Current,5,23,High,None,High,No,No,31.5,Moderate,Moderate,Poor,West,Low,Secondary,Average,Regularly,No,Stage I,2000,Alive
+P101366,50,Male,Former,49,35,Medium,Asbestos,High,Yes,Yes,23.6,Moderate,None,Average,North,Middle,Tertiary,Good,Occasionally,No,None,2004,Deceased
+P101367,27,Male,Current,10,35,Medium,None,Moderate,No,No,22.7,Low,Moderate,Good,North,Low,Primary,Good,Regularly,Yes,None,2022,Alive
+P101368,65,Male,Former,11,1,High,Silica,High,No,No,16.5,High,None,Poor,South,Middle,Tertiary,Poor,Regularly,No,None,2001,Alive
+P101369,84,Female,Former,41,27,Low,Asbestos,High,Yes,Yes,23.5,Moderate,Moderate,Average,East,High,Tertiary,Good,Occasionally,Yes,None,2003,Alive
+P101370,38,Male,Former,12,25,Medium,Diesel Fumes,Low,No,No,17.6,Moderate,Moderate,Poor,East,High,Primary,Good,Regularly,No,None,2022,Alive
+P101371,36,Female,Current,11,22,Low,Silica,Low,No,No,23.2,High,None,Poor,South,Low,Tertiary,Good,Occasionally,No,None,2013,Alive
+P101372,36,Female,Current,20,14,Low,Diesel Fumes,Moderate,Yes,No,31.6,High,High,Poor,South,Low,Secondary,Poor,Never,No,None,2008,Alive
+P101373,37,Female,Current,9,35,Low,Diesel Fumes,Low,Yes,No,18.5,High,High,Average,East,Low,Primary,Good,Regularly,No,None,2005,Alive
+P101374,49,Male,Never,19,26,Low,Diesel Fumes,Low,No,No,23.7,Low,High,Poor,East,Middle,Primary,Good,Never,Yes,None,2022,Alive
+P101375,69,Male,Current,49,5,Medium,Silica,Low,Yes,No,29.3,Moderate,Moderate,Poor,North,Low,Primary,Average,Never,No,None,2023,Deceased
+P101376,43,Female,Current,35,34,High,Diesel Fumes,High,Yes,No,21.1,Low,Moderate,Poor,North,High,Tertiary,Poor,Occasionally,No,None,2011,Alive
+P101377,79,Male,Never,27,38,Medium,Silica,Low,No,No,27.0,High,High,Good,North,Middle,Tertiary,Good,Regularly,No,None,2011,Deceased
+P101378,69,Female,Never,23,37,High,Diesel Fumes,Low,Yes,No,29.1,High,Moderate,Poor,East,Middle,Primary,Poor,Regularly,No,None,2023,Alive
+P101379,32,Male,Never,4,34,Low,None,Low,No,No,25.4,Moderate,Moderate,Good,South,High,Secondary,Good,Regularly,Yes,None,2008,Alive
+P101380,77,Male,Current,36,35,High,None,High,Yes,Yes,25.5,Low,High,Poor,West,Low,Tertiary,Poor,Regularly,No,None,2014,Alive
+P101381,79,Female,Current,11,9,Low,Silica,Moderate,No,No,19.5,Low,None,Good,North,Low,Tertiary,Good,Occasionally,No,None,2009,Alive
+P101382,56,Female,Current,34,29,Medium,Diesel Fumes,High,No,No,23.0,Low,High,Poor,West,High,Tertiary,Good,Never,No,Stage II,2001,Alive
+P101383,75,Female,Never,39,37,Medium,Diesel Fumes,High,No,No,25.8,High,High,Good,South,High,Secondary,Average,Regularly,No,None,2022,Alive
+P101384,68,Male,Current,1,28,High,Diesel Fumes,Low,Yes,No,15.5,Moderate,None,Good,East,High,Tertiary,Poor,Regularly,No,None,2017,Alive
+P101385,42,Female,Never,49,38,Low,None,Moderate,No,No,13.8,Low,Moderate,Good,North,High,Tertiary,Good,Occasionally,No,None,2006,Alive
+P101386,46,Male,Former,40,3,Low,Diesel Fumes,Low,Yes,Yes,24.2,High,High,Poor,East,Middle,Secondary,Average,Regularly,No,None,2008,Alive
+P101387,61,Male,Current,44,4,High,Diesel Fumes,Low,No,No,26.9,High,High,Average,South,Middle,Secondary,Average,Regularly,No,Stage III,2019,Alive
+P101388,80,Male,Never,38,3,Low,Silica,Moderate,No,Yes,25.4,Low,Moderate,Good,North,Low,Tertiary,Poor,Never,No,Stage IV,2020,Alive
+P101389,83,Female,Current,41,35,Low,Diesel Fumes,Moderate,No,No,16.9,Moderate,Moderate,Good,South,Middle,Primary,Poor,Regularly,No,Stage I,2020,Alive
+P101390,27,Female,Never,8,15,Low,None,High,Yes,No,30.5,Moderate,None,Good,South,Middle,Primary,Average,Regularly,No,Stage III,2017,Alive
+P101391,52,Female,Current,21,24,Medium,Diesel Fumes,Moderate,No,No,25.5,Low,Moderate,Good,North,Middle,Secondary,Poor,Never,No,None,2002,Alive
+P101392,59,Male,Former,46,13,Medium,None,High,No,No,29.9,High,High,Good,West,High,Tertiary,Poor,Regularly,No,None,2012,Alive
+P101393,85,Male,Former,4,10,Medium,None,High,Yes,Yes,21.8,High,Moderate,Average,North,Middle,Secondary,Poor,Never,No,Stage II,2009,Alive
+P101394,78,Female,Never,11,28,Low,Asbestos,Low,No,No,26.3,Low,Moderate,Poor,East,Low,Secondary,Good,Occasionally,Yes,None,2016,Alive
+P101395,87,Male,Never,0,33,Medium,None,Low,No,No,27.6,High,None,Average,West,Middle,Primary,Poor,Never,No,None,2002,Alive
+P101396,31,Male,Current,43,21,Low,Asbestos,Low,Yes,No,30.0,High,None,Poor,North,High,Secondary,Poor,Never,No,Stage I,2020,Alive
+P101397,73,Female,Never,21,13,Low,Asbestos,Moderate,Yes,No,29.6,Low,High,Average,North,Middle,Secondary,Average,Regularly,Yes,None,2008,Alive
+P101398,55,Female,Current,37,23,High,Diesel Fumes,Moderate,Yes,No,21.0,High,High,Poor,North,Low,Tertiary,Average,Regularly,Yes,None,2016,Alive
+P101399,82,Female,Current,18,38,Low,Asbestos,High,No,No,24.4,Low,Moderate,Good,North,Middle,Tertiary,Average,Regularly,No,None,2015,Alive
+P101400,85,Male,Never,15,25,Medium,Silica,High,Yes,No,22.4,Low,High,Poor,North,Low,Secondary,Poor,Regularly,No,Stage II,2005,Alive
+P101401,48,Male,Never,30,35,Medium,None,High,No,No,25.7,Low,High,Poor,East,High,Secondary,Poor,Never,No,None,2017,Alive
+P101402,44,Male,Current,2,38,Low,Silica,Moderate,No,No,17.8,High,Moderate,Good,South,Low,Tertiary,Average,Occasionally,No,None,2005,Alive
+P101403,61,Male,Current,22,15,Medium,Asbestos,High,Yes,No,17.1,Low,Moderate,Good,East,Low,Primary,Average,Regularly,No,Stage IV,2005,Alive
+P101404,28,Male,Current,41,37,Low,Diesel Fumes,High,Yes,No,36.9,High,Moderate,Poor,South,High,Tertiary,Good,Never,No,None,2016,Alive
+P101405,44,Female,Former,17,31,High,None,Moderate,No,No,34.7,Low,None,Poor,North,Low,Tertiary,Good,Occasionally,No,None,2020,Alive
+P101406,84,Male,Current,25,5,Low,Silica,Low,Yes,No,30.8,Moderate,None,Good,East,Middle,Tertiary,Good,Occasionally,No,None,2009,Deceased
+P101407,48,Male,Never,12,33,Low,Diesel Fumes,Moderate,Yes,No,27.4,High,Moderate,Average,South,Middle,Tertiary,Poor,Occasionally,No,None,2001,Alive
+P101408,74,Male,Current,17,7,High,Asbestos,High,No,No,28.9,High,None,Good,South,Low,Tertiary,Poor,Never,Yes,None,2000,Alive
+P101409,73,Female,Current,2,29,Medium,Diesel Fumes,Low,Yes,No,28.9,High,None,Poor,North,Middle,Primary,Average,Regularly,No,None,2010,Alive
+P101410,75,Female,Never,22,26,High,Silica,Moderate,Yes,Yes,33.3,Moderate,None,Poor,North,Middle,Tertiary,Good,Never,No,None,2024,Alive
+P101411,60,Female,Never,2,6,High,Diesel Fumes,Low,Yes,No,22.5,Low,High,Poor,West,High,Tertiary,Poor,Regularly,No,None,2005,Deceased
+P101412,58,Male,Never,24,26,Low,Silica,Low,No,No,21.2,Moderate,Moderate,Good,West,Low,Primary,Good,Occasionally,No,None,2000,Alive
+P101413,60,Female,Never,26,24,Low,Diesel Fumes,High,Yes,No,24.9,Low,Moderate,Good,South,Middle,Secondary,Good,Occasionally,No,None,2015,Alive
+P101414,30,Female,Current,43,14,High,None,Moderate,Yes,No,28.0,Low,High,Average,West,Low,Primary,Poor,Never,No,None,2008,Alive
+P101415,63,Female,Former,26,24,Medium,Diesel Fumes,High,No,No,23.7,Low,None,Poor,East,Low,Tertiary,Good,Occasionally,No,None,2011,Alive
+P101416,66,Male,Never,38,21,High,None,Moderate,No,No,22.2,Low,Moderate,Poor,South,Middle,Secondary,Average,Never,No,None,2008,Alive
+P101417,82,Female,Former,24,17,Medium,Silica,Moderate,No,No,32.2,Low,None,Good,East,High,Primary,Average,Regularly,No,None,2012,Alive
+P101418,36,Male,Current,23,11,High,None,Moderate,No,No,20.8,Moderate,High,Poor,West,High,Secondary,Poor,Occasionally,No,None,2006,Alive
+P101419,27,Male,Current,7,22,High,Diesel Fumes,Low,Yes,No,32.3,High,None,Average,East,Low,Primary,Good,Regularly,No,None,2024,Alive
+P101420,42,Female,Former,8,38,Medium,None,Low,No,No,29.8,Moderate,High,Good,South,High,Primary,Average,Occasionally,Yes,None,2000,Alive
+P101421,64,Male,Never,45,24,High,Silica,High,No,No,34.6,High,High,Poor,East,Middle,Secondary,Good,Regularly,No,None,2002,Alive
+P101422,45,Female,Current,36,9,Low,Diesel Fumes,Moderate,Yes,No,35.9,High,None,Good,South,Middle,Secondary,Average,Occasionally,No,None,2023,Alive
+P101423,39,Male,Current,29,29,High,None,Moderate,No,No,26.9,High,None,Good,West,High,Secondary,Average,Regularly,Yes,None,2002,Alive
+P101424,50,Female,Never,18,9,Low,None,Low,No,No,35.4,Moderate,Moderate,Average,South,High,Secondary,Good,Occasionally,Yes,None,2023,Alive
+P101425,32,Female,Never,15,33,Medium,Asbestos,Moderate,Yes,No,27.5,Low,High,Good,West,Low,Tertiary,Poor,Never,No,Stage II,2018,Alive
+P101426,66,Female,Never,23,12,Medium,None,High,No,No,27.0,Low,None,Poor,North,High,Primary,Poor,Regularly,No,Stage IV,2003,Alive
+P101427,68,Male,Never,43,28,Low,Asbestos,Moderate,No,No,26.0,High,None,Average,West,Low,Tertiary,Poor,Regularly,No,None,2011,Alive
+P101428,38,Female,Former,20,37,High,Silica,Moderate,Yes,No,22.8,Low,Moderate,Good,South,Middle,Primary,Good,Never,No,None,2003,Deceased
+P101429,26,Male,Current,35,8,Low,Asbestos,Low,Yes,No,28.8,Low,Moderate,Poor,South,High,Tertiary,Good,Never,No,None,2020,Alive
+P101430,61,Female,Former,39,12,Low,Silica,Moderate,Yes,No,30.8,Moderate,Moderate,Good,North,Low,Tertiary,Good,Never,No,None,2009,Alive
+P101431,62,Male,Current,38,36,Medium,None,High,Yes,No,18.0,Low,High,Good,North,Low,Primary,Poor,Occasionally,No,None,2003,Alive
+P101432,65,Male,Former,46,13,Low,None,High,Yes,No,37.8,Low,Moderate,Average,West,Low,Tertiary,Good,Never,No,Stage IV,2022,Alive
+P101433,86,Female,Current,5,36,High,Asbestos,High,Yes,No,33.1,Moderate,High,Average,East,Low,Secondary,Poor,Occasionally,No,Stage II,2010,Deceased
+P101434,84,Female,Current,4,8,Low,Silica,High,Yes,No,22.1,Low,Moderate,Average,East,Middle,Secondary,Average,Occasionally,Yes,None,2003,Deceased
+P101435,38,Female,Never,13,7,Medium,None,Low,Yes,No,27.8,High,High,Average,North,High,Tertiary,Poor,Never,No,None,2010,Deceased
+P101436,26,Female,Former,44,38,High,Asbestos,Moderate,Yes,No,24.8,Moderate,Moderate,Poor,West,Low,Tertiary,Poor,Never,No,None,2016,Alive
+P101437,41,Female,Current,41,39,Medium,Asbestos,Low,Yes,No,26.7,Low,High,Good,North,High,Primary,Poor,Occasionally,No,None,2020,Deceased
+P101438,52,Male,Never,49,2,Low,Asbestos,High,Yes,Yes,24.3,Low,Moderate,Average,North,High,Primary,Good,Regularly,No,None,2023,Alive
+P101439,59,Female,Former,3,39,Low,None,Moderate,Yes,No,27.6,Moderate,Moderate,Poor,South,Middle,Tertiary,Poor,Regularly,No,None,2021,Alive
+P101440,29,Female,Former,7,32,Medium,Silica,Low,No,No,19.7,High,None,Average,South,High,Primary,Average,Never,No,None,2019,Alive
+P101441,89,Male,Current,23,31,Medium,None,Moderate,Yes,No,36.0,Moderate,High,Good,South,Middle,Secondary,Average,Regularly,No,None,2019,Alive
+P101442,64,Female,Former,10,6,High,Diesel Fumes,High,Yes,No,20.0,High,None,Average,North,Middle,Secondary,Average,Occasionally,Yes,None,2012,Alive
+P101443,80,Female,Current,16,18,Medium,Diesel Fumes,High,Yes,No,27.8,Moderate,High,Good,West,Low,Secondary,Average,Regularly,Yes,None,2016,Alive
+P101444,60,Male,Former,49,33,Medium,None,Moderate,Yes,No,21.6,Low,None,Good,East,Middle,Primary,Average,Occasionally,No,None,2012,Alive
+P101445,69,Female,Current,20,13,Low,Silica,Moderate,Yes,No,24.2,Moderate,Moderate,Poor,East,Low,Primary,Average,Never,No,None,2016,Deceased
+P101446,47,Female,Former,25,18,Low,Asbestos,High,No,No,27.3,Moderate,None,Average,South,Middle,Primary,Poor,Never,Yes,None,2018,Alive
+P101447,71,Female,Current,42,25,Medium,Diesel Fumes,Low,No,No,25.5,High,Moderate,Average,West,Middle,Primary,Good,Regularly,No,Stage III,2019,Alive
+P101448,55,Male,Former,47,16,Medium,Diesel Fumes,High,No,Yes,25.6,Moderate,High,Good,South,High,Tertiary,Good,Never,Yes,None,2014,Alive
+P101449,35,Female,Current,43,27,Low,None,Moderate,No,No,23.2,High,Moderate,Average,West,Low,Tertiary,Average,Never,No,None,2003,Alive
+P101450,34,Male,Current,44,18,High,Diesel Fumes,Low,Yes,No,21.5,Moderate,None,Good,West,High,Tertiary,Poor,Occasionally,No,None,2017,Alive
+P101451,38,Female,Former,26,26,High,Diesel Fumes,High,No,No,28.3,Low,High,Poor,West,Middle,Tertiary,Average,Occasionally,No,None,2010,Alive
+P101452,34,Male,Never,15,18,High,Asbestos,Moderate,No,No,20.7,Moderate,None,Average,North,Low,Secondary,Average,Occasionally,No,None,2008,Alive
+P101453,25,Female,Never,25,32,High,Asbestos,Moderate,Yes,No,21.8,Low,Moderate,Good,West,Middle,Primary,Average,Occasionally,Yes,None,2015,Alive
+P101454,29,Male,Never,32,6,Low,Silica,Moderate,No,No,21.8,High,Moderate,Average,North,Middle,Secondary,Average,Never,No,Stage II,2023,Alive
+P101455,44,Male,Current,30,28,Medium,Diesel Fumes,Low,No,No,23.3,High,None,Average,East,High,Primary,Good,Occasionally,Yes,None,2002,Alive
+P101456,32,Male,Never,47,4,High,Silica,Low,Yes,No,17.9,High,High,Poor,East,Low,Tertiary,Good,Occasionally,No,None,2017,Alive
+P101457,67,Male,Never,46,29,Low,Silica,Low,Yes,No,18.0,High,None,Good,North,Low,Secondary,Poor,Occasionally,No,None,2016,Alive
+P101458,25,Male,Current,5,7,Medium,Asbestos,Low,No,No,27.7,Moderate,Moderate,Poor,East,Low,Primary,Poor,Regularly,No,None,2009,Alive
+P101459,81,Male,Former,43,11,High,Asbestos,Moderate,Yes,No,27.8,Moderate,High,Poor,East,Middle,Tertiary,Average,Occasionally,Yes,Stage III,2024,Alive
+P101460,88,Female,Former,7,12,Medium,None,Moderate,No,No,26.6,Moderate,None,Poor,South,Low,Primary,Good,Never,Yes,None,2004,Alive
+P101461,52,Female,Never,6,25,High,Asbestos,Low,Yes,No,31.9,Low,Moderate,Good,North,Middle,Primary,Average,Never,No,None,2023,Alive
+P101462,61,Male,Current,33,17,Medium,Silica,Low,No,No,20.6,Moderate,High,Good,North,Middle,Tertiary,Good,Occasionally,No,None,2014,Deceased
+P101463,71,Male,Current,43,19,High,Diesel Fumes,Moderate,No,No,16.4,Low,None,Average,North,Middle,Secondary,Good,Regularly,Yes,None,2019,Alive
+P101464,61,Male,Current,13,15,High,Silica,High,No,No,28.9,Low,High,Good,South,Low,Primary,Poor,Regularly,No,None,2017,Alive
+P101465,73,Male,Former,15,36,Medium,Silica,High,Yes,No,16.3,Moderate,Moderate,Poor,North,High,Tertiary,Poor,Regularly,Yes,None,2004,Alive
+P101466,68,Female,Current,42,2,Medium,Silica,Moderate,Yes,No,24.3,Low,None,Good,East,Middle,Primary,Good,Regularly,No,None,2023,Alive
+P101467,80,Male,Never,8,26,Medium,Asbestos,Low,No,Yes,26.4,High,None,Average,West,High,Primary,Poor,Occasionally,No,None,2014,Alive
+P101468,52,Female,Never,9,14,Low,Silica,Low,Yes,No,35.3,Moderate,Moderate,Poor,South,Low,Primary,Average,Occasionally,Yes,None,2005,Alive
+P101469,30,Female,Never,16,33,Low,None,Moderate,Yes,No,22.3,Moderate,Moderate,Average,South,Low,Secondary,Good,Never,No,None,2007,Alive
+P101470,85,Male,Former,11,21,Medium,Diesel Fumes,High,No,Yes,22.6,Low,Moderate,Good,North,Low,Secondary,Good,Never,No,Stage I,2002,Deceased
+P101471,44,Male,Former,5,39,Low,Asbestos,Moderate,Yes,No,28.3,Moderate,None,Average,West,Low,Secondary,Good,Regularly,No,None,2004,Alive
+P101472,26,Female,Former,18,22,High,Silica,Moderate,Yes,No,28.0,Moderate,Moderate,Average,West,Low,Secondary,Average,Regularly,No,None,2017,Alive
+P101473,61,Female,Never,42,3,Medium,None,Moderate,No,No,23.3,Low,None,Good,West,High,Tertiary,Good,Never,No,None,2014,Alive
+P101474,44,Male,Former,40,22,Low,Diesel Fumes,Low,No,No,25.9,Moderate,None,Average,East,Low,Secondary,Poor,Never,No,None,2011,Alive
+P101475,50,Male,Current,28,8,Medium,Silica,Low,Yes,No,21.3,Moderate,High,Good,West,Low,Primary,Average,Regularly,No,None,2018,Alive
+P101476,53,Male,Former,5,23,High,Diesel Fumes,Low,Yes,No,27.2,Moderate,Moderate,Poor,North,Low,Tertiary,Good,Never,No,Stage III,2006,Alive
+P101477,25,Female,Current,24,20,High,Asbestos,High,Yes,No,17.0,Low,Moderate,Average,East,Low,Primary,Average,Regularly,Yes,None,2000,Alive
+P101478,59,Female,Never,23,15,Low,Asbestos,Moderate,No,No,39.5,Moderate,High,Poor,West,Low,Secondary,Average,Occasionally,No,Stage IV,2023,Alive
+P101479,83,Male,Current,24,24,High,None,Moderate,Yes,No,28.6,Moderate,None,Good,North,Middle,Primary,Poor,Regularly,No,None,2020,Deceased
+P101480,57,Female,Former,15,25,Medium,Asbestos,High,Yes,No,19.5,Moderate,None,Good,East,Middle,Primary,Poor,Occasionally,No,Stage I,2001,Alive
+P101481,75,Female,Never,15,8,Low,None,Low,Yes,No,23.7,High,None,Average,East,High,Primary,Poor,Occasionally,No,None,2018,Alive
+P101482,36,Male,Never,5,14,Medium,Silica,Moderate,Yes,No,19.7,Moderate,Moderate,Average,West,Low,Primary,Good,Occasionally,Yes,None,2012,Deceased
+P101483,44,Male,Current,36,38,Medium,Diesel Fumes,High,Yes,No,20.9,Low,None,Good,East,High,Secondary,Good,Never,No,None,2019,Alive
+P101484,77,Female,Current,20,32,Medium,Asbestos,Low,Yes,No,26.1,High,High,Good,South,High,Primary,Poor,Never,No,None,2017,Alive
+P101485,67,Female,Former,3,0,High,Diesel Fumes,Low,No,Yes,32.0,Low,None,Poor,North,Low,Primary,Poor,Regularly,No,Stage III,2009,Alive
+P101486,74,Male,Never,33,4,Medium,Diesel Fumes,Moderate,No,No,24.5,Moderate,Moderate,Poor,West,Low,Primary,Good,Occasionally,Yes,None,2012,Alive
+P101487,53,Male,Current,27,8,High,Silica,Low,No,No,15.5,Moderate,Moderate,Average,North,Middle,Primary,Poor,Regularly,No,None,2004,Deceased
+P101488,81,Male,Current,37,5,Medium,Silica,High,Yes,No,21.9,Moderate,None,Average,North,Low,Secondary,Average,Occasionally,Yes,Stage II,2022,Deceased
+P101489,63,Male,Former,40,27,High,Asbestos,Low,Yes,No,22.3,High,None,Average,South,Middle,Primary,Average,Occasionally,No,None,2012,Alive
+P101490,80,Male,Former,27,25,High,Silica,Moderate,No,No,25.4,Moderate,Moderate,Average,East,High,Tertiary,Average,Regularly,Yes,Stage IV,2008,Alive
+P101491,67,Female,Never,16,27,High,Diesel Fumes,High,No,No,24.3,Low,None,Average,South,High,Tertiary,Good,Regularly,Yes,None,2000,Alive
+P101492,74,Female,Current,13,39,Medium,None,Low,No,No,14.0,High,High,Average,South,Middle,Primary,Poor,Regularly,No,None,2021,Alive
+P101493,47,Female,Former,6,14,Medium,None,Low,No,No,20.4,Low,Moderate,Average,East,Middle,Primary,Average,Regularly,Yes,None,2005,Deceased
+P101494,68,Female,Current,21,5,High,None,Low,No,No,19.5,Low,None,Average,West,Low,Secondary,Good,Never,No,None,2000,Alive
+P101495,62,Male,Former,0,26,Medium,Asbestos,High,Yes,No,29.5,Low,None,Poor,North,Middle,Tertiary,Poor,Occasionally,No,None,2017,Alive
+P101496,47,Male,Former,28,37,High,Silica,Low,Yes,No,23.6,Low,None,Good,West,Middle,Secondary,Poor,Occasionally,No,None,2015,Alive
+P101497,69,Male,Former,30,3,Medium,Silica,Moderate,Yes,No,15.0,Low,High,Good,West,Low,Primary,Average,Never,No,None,2007,Alive
+P101498,76,Female,Current,29,10,High,Silica,High,Yes,No,20.7,Moderate,Moderate,Average,South,High,Tertiary,Poor,Occasionally,Yes,None,2005,Alive
+P101499,74,Female,Current,14,20,High,Silica,High,Yes,No,30.9,Low,High,Good,East,Middle,Tertiary,Poor,Never,Yes,None,2012,Alive
+P101500,32,Female,Former,17,29,Low,Diesel Fumes,Low,No,No,22.0,Low,None,Average,East,Low,Secondary,Average,Occasionally,No,None,2016,Deceased
+P101501,25,Male,Current,34,17,Medium,None,High,No,No,21.6,Moderate,High,Poor,North,Low,Primary,Average,Never,No,None,2012,Alive
+P101502,32,Female,Former,49,34,Medium,Diesel Fumes,Moderate,Yes,No,24.1,High,None,Average,East,Middle,Tertiary,Poor,Never,No,Stage IV,2009,Alive
+P101503,53,Male,Former,29,2,Low,Asbestos,High,No,No,26.1,Moderate,None,Poor,West,High,Secondary,Good,Occasionally,No,None,2005,Alive
+P101504,29,Male,Never,33,11,High,None,Moderate,Yes,Yes,24.3,High,Moderate,Poor,East,Low,Tertiary,Good,Occasionally,No,None,2022,Alive
+P101505,71,Male,Former,41,26,High,None,Low,Yes,No,30.1,Low,Moderate,Poor,East,Middle,Primary,Average,Occasionally,No,None,2017,Alive
+P101506,58,Male,Never,10,29,Low,Diesel Fumes,High,No,No,24.3,Moderate,None,Average,West,High,Primary,Poor,Regularly,No,None,2019,Alive
+P101507,89,Male,Current,26,20,Low,Asbestos,Moderate,Yes,No,28.4,High,None,Poor,North,Middle,Primary,Average,Occasionally,No,None,2022,Alive
+P101508,79,Male,Former,23,37,High,Asbestos,Low,Yes,No,26.0,High,None,Average,North,Low,Secondary,Good,Occasionally,Yes,Stage I,2012,Alive
+P101509,67,Female,Current,34,20,Medium,None,Moderate,Yes,No,18.5,Moderate,Moderate,Poor,West,Low,Primary,Good,Occasionally,No,None,2014,Alive
+P101510,54,Male,Former,38,37,Low,Silica,High,No,No,33.9,Moderate,Moderate,Poor,East,Low,Secondary,Poor,Regularly,No,Stage I,2005,Deceased
+P101511,41,Male,Current,7,39,Low,Asbestos,High,No,No,30.8,Moderate,None,Good,East,Middle,Tertiary,Average,Occasionally,No,None,2010,Deceased
+P101512,50,Female,Former,17,14,Low,Diesel Fumes,Moderate,Yes,No,22.2,Moderate,Moderate,Average,North,Low,Primary,Average,Never,Yes,None,2007,Alive
+P101513,32,Male,Never,12,17,Low,Asbestos,Low,Yes,No,24.4,Moderate,None,Good,North,Middle,Secondary,Good,Never,No,None,2013,Alive
+P101514,71,Female,Former,44,28,Low,None,Low,No,Yes,28.1,Low,High,Poor,North,High,Secondary,Average,Regularly,No,None,2012,Alive
+P101515,70,Female,Never,23,37,Low,Silica,Low,No,No,25.9,Low,Moderate,Good,South,High,Secondary,Average,Regularly,No,None,2021,Alive
+P101516,57,Female,Current,22,20,High,Asbestos,Low,No,Yes,25.5,Moderate,None,Poor,North,High,Primary,Average,Regularly,No,None,2001,Alive
+P101517,25,Male,Former,11,16,High,None,Moderate,No,No,27.5,Moderate,High,Good,East,High,Secondary,Poor,Regularly,No,None,2000,Alive
+P101518,43,Male,Current,48,17,Low,Asbestos,High,Yes,No,26.8,Low,None,Good,North,Low,Primary,Good,Regularly,No,None,2004,Alive
+P101519,55,Female,Never,29,36,High,Silica,Moderate,Yes,No,26.8,High,High,Average,East,Low,Primary,Average,Occasionally,No,None,2010,Alive
+P101520,38,Male,Never,30,37,Medium,Diesel Fumes,High,Yes,No,25.5,Low,Moderate,Average,East,Middle,Tertiary,Poor,Never,No,None,2009,Alive
+P101521,77,Male,Former,27,11,Medium,None,High,No,No,28.2,Moderate,Moderate,Good,East,High,Tertiary,Average,Never,No,None,2011,Alive
+P101522,72,Female,Current,21,10,Low,None,Moderate,No,No,26.0,High,None,Good,North,High,Primary,Average,Occasionally,No,None,2009,Alive
+P101523,86,Female,Current,43,19,Medium,Silica,Moderate,Yes,No,26.2,Moderate,Moderate,Average,North,Middle,Tertiary,Good,Regularly,No,None,2008,Alive
+P101524,88,Male,Former,27,8,Medium,None,Low,No,No,31.9,High,Moderate,Poor,West,Middle,Secondary,Poor,Occasionally,No,None,2001,Alive
+P101525,87,Female,Former,12,0,High,Silica,High,Yes,No,27.2,Moderate,High,Poor,North,Middle,Primary,Average,Regularly,Yes,None,2022,Alive
+P101526,57,Female,Never,24,2,High,None,Low,No,No,26.7,Low,Moderate,Poor,North,Middle,Tertiary,Good,Never,Yes,None,2024,Alive
+P101527,65,Female,Current,43,20,High,Silica,Low,Yes,No,20.6,Moderate,High,Poor,North,High,Secondary,Poor,Never,No,None,2003,Alive
+P101528,72,Male,Current,45,22,High,Asbestos,Moderate,Yes,No,20.8,Low,High,Good,South,Low,Primary,Average,Regularly,No,None,2003,Alive
+P101529,37,Male,Never,6,8,Medium,Asbestos,Low,Yes,No,30.7,High,High,Poor,North,High,Secondary,Good,Occasionally,No,None,2020,Deceased
+P101530,55,Male,Former,44,18,Low,Asbestos,Low,Yes,No,27.9,Low,Moderate,Good,South,Middle,Primary,Average,Regularly,No,None,2005,Alive
+P101531,28,Female,Never,5,18,High,None,Low,No,No,29.6,High,None,Good,East,Low,Tertiary,Average,Regularly,No,Stage II,2011,Alive
+P101532,43,Male,Current,23,22,Medium,Silica,Moderate,Yes,No,26.0,Moderate,None,Poor,East,High,Secondary,Poor,Never,No,None,2006,Alive
+P101533,37,Female,Never,18,26,High,Silica,Low,Yes,No,27.0,Low,Moderate,Poor,East,Middle,Tertiary,Good,Regularly,No,None,2024,Alive
+P101534,47,Male,Current,18,26,Medium,Diesel Fumes,Low,Yes,No,24.3,High,High,Poor,East,Low,Secondary,Poor,Occasionally,No,None,2021,Deceased
+P101535,25,Male,Never,35,38,High,Asbestos,Moderate,Yes,No,24.9,High,Moderate,Average,South,Low,Secondary,Average,Regularly,No,None,2018,Alive
+P101536,78,Female,Current,8,35,Low,Diesel Fumes,Moderate,No,No,22.9,High,None,Good,South,Middle,Secondary,Good,Never,No,None,2001,Alive
+P101537,39,Male,Current,47,11,High,Asbestos,Moderate,Yes,No,31.7,High,High,Poor,East,Low,Secondary,Average,Occasionally,No,None,2021,Alive
+P101538,89,Female,Current,35,26,Low,Diesel Fumes,High,Yes,No,21.4,Moderate,Moderate,Average,North,High,Tertiary,Average,Occasionally,No,None,2024,Alive
+P101539,39,Male,Current,37,33,High,Asbestos,Moderate,No,No,26.5,Moderate,High,Good,East,High,Secondary,Average,Never,No,None,2018,Alive
+P101540,45,Male,Current,39,32,High,Silica,High,Yes,No,24.2,Moderate,High,Good,East,High,Tertiary,Good,Never,No,None,2003,Alive
+P101541,43,Female,Never,28,27,High,Asbestos,Moderate,Yes,No,29.8,High,None,Good,South,Low,Secondary,Average,Regularly,Yes,None,2002,Alive
+P101542,84,Female,Former,23,30,Medium,None,Moderate,Yes,Yes,26.1,Moderate,High,Poor,East,Low,Primary,Good,Never,No,None,2022,Alive
+P101543,57,Female,Never,47,31,Medium,Asbestos,Moderate,Yes,No,27.3,High,Moderate,Poor,South,Middle,Primary,Average,Never,No,None,2003,Alive
+P101544,73,Male,Current,4,19,Low,Asbestos,High,No,No,26.0,High,High,Good,West,Middle,Secondary,Poor,Never,No,None,2013,Alive
+P101545,59,Male,Former,41,39,Low,Silica,Low,No,No,20.0,High,High,Good,South,Low,Primary,Good,Never,No,None,2005,Alive
+P101546,68,Male,Current,44,34,Medium,None,Moderate,No,No,27.8,Low,Moderate,Average,East,High,Secondary,Average,Occasionally,No,None,2005,Alive
+P101547,35,Female,Current,25,30,Low,Silica,High,No,No,24.5,Moderate,None,Average,North,Low,Tertiary,Poor,Occasionally,No,None,2008,Alive
+P101548,70,Female,Never,13,30,Low,Diesel Fumes,Moderate,No,No,21.2,Moderate,None,Good,South,High,Primary,Good,Occasionally,No,None,2004,Alive
+P101549,33,Female,Never,38,37,Medium,Diesel Fumes,Low,No,No,17.9,Low,Moderate,Average,South,Middle,Secondary,Poor,Never,Yes,None,2006,Alive
+P101550,27,Male,Never,28,21,Medium,None,High,Yes,No,20.9,Low,High,Good,South,Low,Secondary,Average,Regularly,No,None,2012,Deceased
+P101551,50,Male,Former,5,8,Medium,Diesel Fumes,Moderate,Yes,No,28.8,Low,Moderate,Average,East,Low,Tertiary,Poor,Regularly,No,None,2000,Deceased
+P101552,72,Female,Never,6,8,Medium,None,Moderate,Yes,No,33.8,Low,Moderate,Good,East,Low,Tertiary,Average,Regularly,Yes,None,2023,Alive
+P101553,52,Male,Never,36,14,High,Asbestos,Moderate,Yes,No,25.6,High,Moderate,Poor,South,High,Secondary,Average,Regularly,No,Stage II,2001,Alive
+P101554,50,Female,Current,17,12,Medium,Diesel Fumes,Low,No,No,20.0,Moderate,None,Good,North,Middle,Secondary,Good,Occasionally,No,None,2019,Deceased
+P101555,49,Male,Current,22,21,Low,Asbestos,High,Yes,No,27.1,Moderate,High,Poor,East,High,Secondary,Average,Regularly,No,None,2009,Alive
+P101556,36,Male,Former,43,15,High,Silica,Moderate,Yes,No,30.4,Moderate,Moderate,Good,North,Middle,Secondary,Average,Occasionally,No,None,2022,Alive
+P101557,29,Female,Former,37,31,High,Diesel Fumes,Moderate,No,No,34.6,High,None,Poor,West,High,Secondary,Good,Regularly,No,None,2005,Alive
+P101558,72,Male,Never,0,1,Low,Silica,High,Yes,No,31.3,Moderate,None,Average,North,Middle,Secondary,Good,Regularly,Yes,None,2003,Alive
+P101559,61,Male,Current,3,25,High,Silica,Low,Yes,No,26.1,Low,High,Poor,East,High,Tertiary,Average,Occasionally,Yes,None,2007,Deceased
+P101560,68,Female,Current,43,13,Low,None,Low,No,No,27.9,Moderate,Moderate,Average,South,Low,Primary,Average,Occasionally,Yes,None,2013,Deceased
+P101561,39,Female,Never,46,37,High,Silica,Low,Yes,No,21.4,Moderate,High,Good,West,High,Secondary,Good,Regularly,Yes,None,2015,Deceased
+P101562,67,Male,Never,34,33,High,None,Low,Yes,Yes,29.0,High,Moderate,Average,North,Low,Secondary,Good,Never,No,None,2014,Alive
+P101563,72,Female,Current,22,7,Low,None,Low,No,No,29.7,Low,None,Average,South,Low,Tertiary,Poor,Regularly,No,None,2012,Alive
+P101564,70,Male,Current,26,35,Low,None,Moderate,Yes,No,12.5,Low,None,Average,West,Low,Primary,Poor,Regularly,Yes,None,2011,Alive
+P101565,67,Female,Never,25,20,Low,None,Moderate,Yes,No,25.7,Low,High,Good,North,High,Tertiary,Poor,Regularly,No,Stage III,2006,Deceased
+P101566,45,Male,Current,7,27,Low,None,Moderate,Yes,No,32.5,Moderate,Moderate,Poor,South,Low,Tertiary,Good,Occasionally,Yes,None,2014,Alive
+P101567,47,Male,Former,42,5,Medium,Asbestos,High,Yes,No,21.6,Low,High,Average,West,High,Secondary,Good,Regularly,No,None,2005,Deceased
+P101568,71,Female,Former,15,19,Medium,None,Low,Yes,No,14.4,Low,Moderate,Good,East,Middle,Secondary,Good,Never,No,None,2020,Deceased
+P101569,39,Male,Current,40,30,Low,Diesel Fumes,High,No,No,24.9,Moderate,High,Average,North,High,Tertiary,Poor,Regularly,No,Stage I,2020,Alive
+P101570,49,Male,Current,2,32,Medium,None,Low,Yes,No,30.4,High,None,Poor,North,High,Secondary,Average,Never,No,None,2013,Alive
+P101571,60,Female,Former,31,6,Low,Asbestos,Low,Yes,No,27.0,Moderate,High,Average,West,High,Secondary,Average,Never,No,None,2014,Alive
+P101572,75,Female,Current,4,7,Low,Diesel Fumes,High,Yes,No,25.1,High,Moderate,Average,North,Middle,Secondary,Average,Never,No,Stage II,2022,Alive
+P101573,39,Male,Former,19,8,High,Diesel Fumes,Moderate,No,No,20.4,High,High,Average,South,Middle,Primary,Good,Regularly,No,None,2010,Deceased
+P101574,45,Female,Current,13,1,Low,Asbestos,High,No,No,19.5,Low,Moderate,Poor,North,Middle,Primary,Average,Occasionally,No,None,2021,Alive
+P101575,37,Female,Former,31,16,Low,Diesel Fumes,Moderate,No,No,25.9,Low,High,Poor,North,Low,Secondary,Average,Occasionally,No,Stage I,2003,Deceased
+P101576,43,Male,Current,25,36,Low,Asbestos,Low,Yes,No,24.7,Moderate,Moderate,Good,South,High,Tertiary,Good,Regularly,No,None,2022,Alive
+P101577,58,Male,Current,46,16,Low,Silica,Moderate,Yes,No,29.3,High,Moderate,Average,South,High,Primary,Good,Regularly,No,None,2004,Alive
+P101578,76,Female,Never,5,37,High,Silica,Low,Yes,No,27.2,Moderate,Moderate,Average,East,Low,Tertiary,Good,Never,No,Stage IV,2022,Alive
+P101579,51,Female,Current,35,34,Low,None,Low,Yes,No,21.3,Low,High,Average,South,Low,Secondary,Good,Regularly,No,None,2022,Alive
+P101580,53,Female,Current,39,38,High,None,Moderate,Yes,No,26.3,High,High,Average,North,High,Tertiary,Good,Occasionally,Yes,None,2001,Alive
+P101581,52,Male,Current,4,29,Low,None,Low,No,Yes,25.5,Low,None,Poor,West,Low,Tertiary,Poor,Regularly,No,None,2019,Alive
+P101582,59,Male,Never,12,5,High,None,Moderate,Yes,No,16.7,Low,Moderate,Poor,North,Low,Primary,Good,Regularly,No,Stage II,2014,Alive
+P101583,32,Male,Current,31,3,Medium,Asbestos,High,Yes,No,22.9,Low,None,Average,East,Middle,Tertiary,Average,Regularly,No,Stage IV,2009,Alive
+P101584,40,Male,Current,15,36,High,Silica,Low,No,No,25.3,High,None,Average,West,Low,Tertiary,Average,Never,No,None,2003,Alive
+P101585,60,Male,Never,0,34,High,Asbestos,Low,No,No,24.4,High,Moderate,Average,East,Low,Primary,Poor,Regularly,Yes,None,2022,Alive
+P101586,54,Male,Current,12,8,Low,Diesel Fumes,High,No,No,26.6,Low,None,Average,North,High,Secondary,Good,Regularly,No,None,2007,Alive
+P101587,42,Male,Never,10,5,High,Diesel Fumes,Low,No,No,25.4,High,High,Good,South,Low,Tertiary,Average,Regularly,Yes,Stage IV,2010,Alive
+P101588,26,Female,Never,7,12,High,Diesel Fumes,High,No,No,26.7,Low,None,Good,West,Low,Secondary,Average,Occasionally,No,None,2016,Alive
+P101589,73,Female,Former,24,21,Low,Diesel Fumes,High,Yes,No,25.8,Low,High,Average,North,Low,Secondary,Good,Never,No,Stage I,2006,Alive
+P101590,28,Male,Former,39,27,Medium,Diesel Fumes,Low,Yes,No,24.9,Low,Moderate,Average,West,Middle,Secondary,Poor,Never,No,None,2010,Alive
+P101591,31,Male,Current,31,29,Medium,Silica,High,Yes,No,25.8,High,Moderate,Average,East,High,Primary,Good,Occasionally,Yes,None,2021,Alive
+P101592,63,Male,Never,23,35,Medium,Asbestos,High,Yes,No,23.2,Moderate,Moderate,Good,North,Middle,Secondary,Good,Never,No,None,2009,Alive
+P101593,37,Female,Current,27,1,High,Diesel Fumes,High,Yes,Yes,22.9,Moderate,None,Poor,West,Low,Tertiary,Good,Occasionally,Yes,None,2000,Alive
+P101594,55,Male,Never,13,35,Low,None,Low,No,No,25.5,High,Moderate,Good,North,High,Secondary,Good,Never,No,None,2007,Alive
+P101595,87,Female,Never,44,7,Medium,Silica,High,Yes,No,15.0,High,Moderate,Good,North,High,Secondary,Good,Never,No,Stage II,2004,Alive
+P101596,80,Female,Never,2,8,Medium,None,Moderate,Yes,No,23.1,Low,High,Average,East,Low,Secondary,Poor,Never,No,None,2012,Alive
+P101597,66,Female,Former,35,0,Medium,Silica,Moderate,No,No,21.5,Low,None,Average,East,Middle,Tertiary,Average,Regularly,No,Stage III,2006,Deceased
+P101598,85,Female,Current,26,12,Medium,Silica,High,No,No,20.9,Moderate,None,Poor,East,Low,Secondary,Good,Never,No,None,2023,Alive
+P101599,66,Female,Current,19,14,Low,None,Moderate,Yes,No,23.4,Low,Moderate,Average,South,Middle,Secondary,Average,Regularly,No,None,2022,Alive
+P101600,80,Male,Current,46,31,Medium,None,Low,Yes,No,18.3,Moderate,None,Average,West,Low,Secondary,Average,Regularly,No,None,2010,Alive
+P101601,60,Male,Never,14,33,High,Diesel Fumes,High,No,No,23.4,Moderate,Moderate,Poor,East,High,Primary,Good,Regularly,No,Stage II,2011,Alive
+P101602,31,Female,Former,26,30,High,None,Low,Yes,No,26.2,High,High,Average,South,High,Tertiary,Average,Occasionally,Yes,None,2013,Alive
+P101603,78,Male,Former,44,13,Low,Asbestos,Moderate,No,No,30.3,High,None,Average,South,Middle,Primary,Good,Never,No,None,2011,Alive
+P101604,25,Female,Former,40,13,Medium,Silica,Moderate,Yes,No,36.0,High,None,Average,West,Low,Tertiary,Good,Never,No,None,2000,Alive
+P101605,68,Female,Never,27,28,Medium,Silica,Moderate,No,No,15.9,Moderate,High,Good,West,Middle,Secondary,Good,Never,No,None,2005,Alive
+P101606,69,Male,Current,24,18,High,Diesel Fumes,Moderate,No,No,20.3,High,None,Average,East,High,Tertiary,Poor,Regularly,No,None,2010,Alive
+P101607,71,Male,Former,41,26,Low,Silica,Low,No,No,23.4,Moderate,Moderate,Good,South,High,Tertiary,Good,Never,No,None,2010,Alive
+P101608,37,Male,Current,43,8,High,None,High,Yes,No,25.7,High,None,Average,West,Middle,Tertiary,Good,Regularly,No,None,2011,Alive
+P101609,46,Male,Former,45,36,Low,Silica,Low,No,No,26.8,Moderate,None,Average,West,Middle,Tertiary,Average,Regularly,No,None,2000,Alive
+P101610,45,Male,Never,32,36,Low,Silica,High,No,No,21.9,Low,High,Good,West,Middle,Primary,Poor,Regularly,No,None,2019,Alive
+P101611,33,Female,Current,45,27,Low,None,Moderate,Yes,No,12.4,Low,High,Good,West,Middle,Tertiary,Average,Regularly,No,None,2019,Alive
+P101612,50,Male,Never,13,23,High,None,Moderate,Yes,No,30.2,Moderate,Moderate,Average,South,Middle,Primary,Average,Never,No,None,2023,Alive
+P101613,33,Male,Current,7,27,Low,Silica,Moderate,Yes,No,27.5,Moderate,None,Poor,North,Low,Primary,Good,Regularly,Yes,None,2005,Alive
+P101614,39,Male,Current,47,35,High,Asbestos,Moderate,No,No,28.6,Low,None,Average,West,Middle,Secondary,Poor,Occasionally,No,None,2022,Alive
+P101615,34,Female,Never,13,17,High,None,Low,No,No,23.9,Moderate,High,Good,South,Middle,Tertiary,Poor,Occasionally,No,None,2012,Alive
+P101616,66,Male,Current,0,24,Medium,Asbestos,High,No,No,26.8,Moderate,Moderate,Average,West,High,Secondary,Good,Occasionally,No,None,2011,Alive
+P101617,48,Female,Former,15,34,High,Asbestos,High,Yes,No,15.0,Low,None,Average,South,High,Tertiary,Poor,Regularly,No,None,2009,Alive
+P101618,73,Male,Never,17,3,High,Diesel Fumes,Moderate,Yes,No,19.6,Moderate,Moderate,Good,East,Low,Primary,Good,Never,No,None,2022,Alive
+P101619,50,Male,Current,6,13,Medium,Asbestos,Low,No,No,31.0,High,None,Poor,North,Middle,Primary,Poor,Never,No,None,2006,Alive
+P101620,61,Female,Never,14,38,Medium,Diesel Fumes,Moderate,Yes,No,25.2,Low,High,Poor,South,Middle,Primary,Poor,Regularly,Yes,None,2009,Alive
+P101621,74,Male,Current,23,25,Medium,Asbestos,High,Yes,No,34.3,High,High,Good,South,High,Tertiary,Good,Regularly,Yes,Stage I,2017,Alive
+P101622,48,Male,Current,48,7,Low,Diesel Fumes,High,No,No,20.1,Moderate,High,Good,South,High,Tertiary,Poor,Regularly,No,None,2005,Alive
+P101623,43,Female,Current,12,23,Low,None,Low,No,No,37.8,Moderate,High,Average,West,High,Tertiary,Poor,Occasionally,No,None,2023,Alive
+P101624,84,Male,Former,8,15,Medium,Silica,High,Yes,No,38.5,High,High,Good,East,Middle,Tertiary,Poor,Regularly,No,None,2007,Alive
+P101625,63,Female,Former,14,19,Low,Silica,Low,No,No,21.8,Moderate,High,Good,West,Middle,Tertiary,Average,Regularly,No,None,2019,Alive
+P101626,42,Female,Current,34,14,Medium,Diesel Fumes,Moderate,Yes,No,22.7,Moderate,Moderate,Average,East,Low,Secondary,Good,Never,No,Stage III,2022,Deceased
+P101627,43,Female,Never,23,6,Low,None,Moderate,Yes,No,31.3,High,High,Average,North,High,Tertiary,Average,Never,No,None,2008,Alive
+P101628,60,Female,Former,32,16,High,Diesel Fumes,Low,No,Yes,22.2,Moderate,Moderate,Average,West,High,Secondary,Poor,Occasionally,No,None,2015,Alive
+P101629,79,Female,Former,15,21,Low,Diesel Fumes,Moderate,No,No,23.7,Low,High,Poor,South,High,Tertiary,Poor,Occasionally,No,None,2023,Alive
+P101630,71,Male,Never,7,21,Low,None,Low,Yes,No,21.3,High,None,Poor,North,High,Tertiary,Average,Occasionally,No,None,2001,Alive
+P101631,73,Male,Former,28,11,High,Asbestos,Moderate,Yes,No,21.5,High,None,Good,West,High,Tertiary,Poor,Occasionally,No,Stage III,2010,Alive
+P101632,57,Male,Current,22,17,Medium,Asbestos,Moderate,No,No,25.6,High,None,Average,East,Middle,Tertiary,Poor,Regularly,No,None,2023,Alive
+P101633,45,Female,Current,44,14,Low,None,High,Yes,No,23.6,High,Moderate,Good,West,Middle,Primary,Good,Regularly,No,Stage I,2018,Alive
+P101634,46,Female,Never,30,36,Low,Diesel Fumes,High,Yes,No,14.6,Low,High,Good,West,High,Primary,Poor,Occasionally,No,None,2003,Alive
+P101635,72,Female,Never,39,15,High,Silica,Low,Yes,No,32.2,High,Moderate,Poor,South,High,Secondary,Good,Occasionally,No,Stage I,2002,Alive
+P101636,61,Female,Never,48,4,High,Diesel Fumes,Moderate,Yes,No,33.0,High,High,Poor,South,Middle,Secondary,Good,Never,No,None,2014,Alive
+P101637,39,Male,Current,13,1,High,Asbestos,Moderate,Yes,No,27.6,Moderate,None,Good,North,Middle,Tertiary,Average,Never,No,None,2007,Deceased
+P101638,59,Male,Never,29,27,High,None,Moderate,No,Yes,25.6,High,Moderate,Average,South,Low,Tertiary,Average,Never,No,None,2003,Alive
+P101639,56,Female,Current,38,26,Medium,None,High,Yes,No,20.3,Moderate,High,Poor,West,Middle,Tertiary,Poor,Occasionally,No,Stage IV,2010,Alive
+P101640,35,Female,Never,26,30,Low,None,Low,Yes,No,22.7,High,Moderate,Poor,West,Low,Tertiary,Average,Never,No,None,2016,Alive
+P101641,34,Male,Current,46,35,Low,Asbestos,Low,No,No,30.4,High,Moderate,Poor,East,High,Primary,Good,Occasionally,No,None,2008,Deceased
+P101642,81,Female,Former,15,0,Low,Diesel Fumes,Low,No,Yes,28.0,Low,None,Good,West,High,Secondary,Average,Regularly,Yes,None,2024,Alive
+P101643,49,Female,Current,5,28,Low,None,Moderate,No,No,27.3,Moderate,None,Poor,North,High,Secondary,Good,Occasionally,No,Stage II,2000,Deceased
+P101644,26,Female,Never,32,0,Medium,Silica,Low,Yes,No,27.5,Low,None,Average,North,Middle,Secondary,Average,Regularly,No,Stage II,2007,Alive
+P101645,88,Male,Current,43,7,Low,None,High,Yes,Yes,30.3,Moderate,None,Poor,South,Middle,Primary,Poor,Regularly,No,None,2001,Alive
+P101646,59,Male,Never,17,15,Medium,Diesel Fumes,High,No,No,29.6,High,None,Good,East,High,Tertiary,Average,Occasionally,Yes,Stage III,2022,Alive
+P101647,31,Female,Current,15,27,Medium,Asbestos,Low,No,No,28.4,Low,High,Good,West,High,Primary,Poor,Never,No,None,2012,Alive
+P101648,42,Male,Current,11,21,High,Silica,Moderate,No,No,23.3,Moderate,High,Good,South,Low,Primary,Average,Occasionally,No,Stage II,2000,Alive
+P101649,66,Female,Never,19,17,High,Silica,High,No,No,33.4,Moderate,None,Good,West,Middle,Secondary,Good,Never,No,Stage III,2021,Alive
+P101650,63,Female,Current,44,21,Low,None,High,No,No,22.6,Low,None,Average,North,Middle,Primary,Average,Regularly,No,None,2009,Deceased
+P101651,65,Male,Former,39,11,Medium,Diesel Fumes,Moderate,Yes,No,20.7,Moderate,None,Good,North,Low,Secondary,Average,Regularly,No,None,2011,Alive
+P101652,48,Female,Never,28,18,High,None,Moderate,No,No,22.2,High,Moderate,Poor,East,High,Primary,Good,Regularly,Yes,None,2010,Deceased
+P101653,84,Female,Former,29,24,Medium,Silica,Low,Yes,No,19.0,Moderate,None,Average,West,High,Secondary,Good,Regularly,No,Stage I,2009,Alive
+P101654,70,Male,Never,25,4,High,None,High,Yes,No,27.9,High,High,Good,West,Middle,Secondary,Average,Occasionally,Yes,None,2013,Alive
+P101655,43,Female,Current,21,33,Medium,Diesel Fumes,High,No,No,24.9,Moderate,High,Good,North,Middle,Tertiary,Good,Regularly,No,None,2013,Alive
+P101656,66,Female,Current,32,38,Low,Asbestos,Low,No,No,30.6,Low,Moderate,Average,East,High,Secondary,Good,Never,No,None,2007,Alive
+P101657,56,Female,Never,38,9,Low,Silica,Low,No,No,12.8,High,High,Poor,South,Low,Primary,Average,Never,No,None,2010,Deceased
+P101658,63,Male,Former,46,6,Medium,Diesel Fumes,High,No,No,26.1,Moderate,None,Average,East,Low,Secondary,Poor,Regularly,No,Stage II,2021,Alive
+P101659,60,Female,Current,28,36,High,None,High,No,No,23.7,High,Moderate,Poor,South,Low,Primary,Average,Occasionally,Yes,None,2008,Alive
+P101660,60,Male,Current,21,14,High,Silica,Moderate,Yes,No,23.3,Low,Moderate,Poor,South,Middle,Secondary,Average,Regularly,No,None,2014,Deceased
+P101661,27,Female,Former,44,23,Low,None,Moderate,No,No,19.8,Moderate,High,Good,North,Low,Tertiary,Poor,Regularly,Yes,Stage IV,2000,Alive
+P101662,32,Female,Current,12,25,Low,None,High,No,No,25.2,Moderate,None,Average,South,Middle,Tertiary,Average,Never,No,None,2024,Deceased
+P101663,65,Female,Former,8,25,Low,Asbestos,High,Yes,No,21.2,High,None,Average,West,Middle,Primary,Average,Occasionally,No,None,2018,Alive
+P101664,37,Female,Former,23,25,High,None,Moderate,No,No,32.6,Low,None,Good,North,High,Secondary,Good,Occasionally,No,Stage III,2017,Alive
+P101665,73,Male,Current,14,9,High,None,Low,No,No,28.1,Low,Moderate,Good,East,High,Primary,Average,Never,No,None,2011,Alive
+P101666,84,Male,Former,35,16,Low,Diesel Fumes,Low,No,Yes,29.9,Moderate,High,Poor,East,Low,Tertiary,Poor,Never,No,None,2007,Alive
+P101667,26,Female,Former,12,13,Medium,None,High,Yes,No,16.3,High,High,Good,South,Low,Primary,Poor,Never,No,None,2004,Alive
+P101668,84,Female,Former,26,1,High,Asbestos,High,No,No,29.4,Moderate,High,Average,West,Middle,Primary,Good,Occasionally,No,Stage IV,2012,Alive
+P101669,29,Female,Current,43,12,Low,None,Moderate,No,No,29.0,Moderate,None,Good,East,High,Secondary,Average,Never,No,None,2016,Alive
+P101670,68,Female,Current,36,26,Medium,None,High,No,No,23.0,High,Moderate,Good,South,High,Tertiary,Average,Never,Yes,None,2000,Alive
+P101671,51,Female,Former,6,8,High,None,Low,No,Yes,24.1,Low,Moderate,Good,East,Middle,Tertiary,Average,Never,No,Stage I,2001,Alive
+P101672,56,Female,Former,7,6,Medium,Silica,Moderate,Yes,No,20.1,Moderate,High,Good,West,Low,Secondary,Average,Regularly,No,None,2006,Alive
+P101673,45,Female,Former,36,9,Medium,Asbestos,Moderate,No,No,23.5,Moderate,High,Good,South,Low,Secondary,Poor,Occasionally,Yes,None,2001,Alive
+P101674,32,Female,Former,40,8,High,Silica,Low,Yes,No,27.8,High,Moderate,Poor,West,Middle,Secondary,Poor,Occasionally,No,None,2024,Alive
+P101675,74,Male,Never,13,21,Low,Asbestos,Low,No,No,21.7,High,High,Good,South,High,Tertiary,Good,Regularly,No,Stage IV,2021,Alive
+P101676,68,Male,Current,11,22,Medium,Asbestos,Moderate,No,No,25.2,Moderate,Moderate,Good,West,Middle,Tertiary,Average,Occasionally,Yes,None,2003,Alive
+P101677,82,Male,Former,35,6,Low,Diesel Fumes,High,No,Yes,37.7,Low,Moderate,Average,East,Middle,Secondary,Poor,Never,No,None,2012,Alive
+P101678,27,Female,Former,39,8,High,Silica,Low,Yes,No,20.1,High,High,Good,East,Low,Primary,Average,Regularly,No,Stage II,2013,Alive
+P101679,26,Female,Never,16,26,Medium,Asbestos,Moderate,No,No,26.7,Moderate,Moderate,Average,West,High,Tertiary,Poor,Never,No,None,2019,Alive
+P101680,68,Female,Never,39,23,Medium,Asbestos,High,No,No,19.8,Low,Moderate,Average,East,Low,Secondary,Poor,Never,No,None,2002,Alive
+P101681,26,Male,Current,28,28,Medium,Diesel Fumes,High,Yes,No,17.6,High,High,Average,East,Low,Secondary,Good,Never,No,None,2008,Alive
+P101682,59,Female,Former,26,16,Medium,Silica,Moderate,No,No,29.0,High,High,Average,South,High,Primary,Average,Never,Yes,None,2017,Alive
+P101683,54,Male,Never,0,19,Medium,None,Low,No,No,23.0,Moderate,High,Poor,West,Low,Secondary,Good,Occasionally,No,None,2024,Alive
+P101684,32,Female,Former,33,6,High,Diesel Fumes,High,No,No,33.0,High,Moderate,Poor,South,Middle,Primary,Good,Regularly,No,None,2015,Alive
+P101685,46,Male,Former,3,39,Medium,Asbestos,Low,No,No,27.8,Moderate,High,Average,East,Middle,Primary,Good,Regularly,No,None,2018,Alive
+P101686,68,Male,Never,23,6,High,Silica,Moderate,Yes,Yes,21.1,High,High,Poor,East,High,Tertiary,Good,Never,No,None,2019,Alive
+P101687,82,Male,Former,20,27,Low,Asbestos,Low,Yes,No,20.6,Low,Moderate,Poor,North,Middle,Secondary,Good,Regularly,No,Stage IV,2008,Deceased
+P101688,60,Female,Former,32,18,High,Diesel Fumes,High,Yes,No,28.6,Low,Moderate,Good,West,Middle,Tertiary,Good,Regularly,No,None,2018,Alive
+P101689,55,Male,Former,6,19,Medium,Diesel Fumes,Moderate,No,No,19.7,High,High,Poor,West,Middle,Tertiary,Good,Never,No,None,2005,Alive
+P101690,71,Female,Former,0,38,Low,Silica,High,No,Yes,19.6,Moderate,High,Average,South,Middle,Tertiary,Average,Never,No,None,2011,Alive
+P101691,79,Female,Former,40,39,High,Diesel Fumes,High,No,No,16.4,High,Moderate,Average,West,Low,Secondary,Good,Occasionally,Yes,None,2014,Alive
+P101692,86,Female,Current,2,6,High,Diesel Fumes,Moderate,No,No,28.1,Moderate,Moderate,Average,South,Middle,Secondary,Average,Occasionally,Yes,None,2020,Alive
+P101693,54,Female,Former,43,5,High,None,Moderate,Yes,No,21.0,High,None,Average,East,High,Secondary,Average,Never,No,None,2005,Alive
+P101694,79,Female,Never,14,24,Medium,Asbestos,Low,No,No,26.8,Low,Moderate,Good,North,Low,Tertiary,Poor,Occasionally,Yes,Stage IV,2004,Alive
+P101695,40,Male,Never,30,12,Medium,None,Moderate,Yes,No,18.5,Moderate,Moderate,Poor,East,Middle,Primary,Good,Occasionally,No,None,2013,Alive
+P101696,36,Female,Former,15,38,High,None,Low,No,No,16.8,Low,None,Average,South,Middle,Tertiary,Average,Regularly,No,None,2018,Alive
+P101697,41,Female,Current,9,39,High,Silica,Moderate,No,No,28.6,Low,High,Good,South,High,Primary,Poor,Never,No,None,2017,Alive
+P101698,40,Female,Never,28,21,Low,Diesel Fumes,High,Yes,No,24.2,Low,None,Average,North,Low,Secondary,Poor,Regularly,Yes,None,2012,Alive
+P101699,36,Female,Current,5,16,Medium,Asbestos,Low,No,No,21.6,High,Moderate,Poor,East,Middle,Secondary,Good,Regularly,No,None,2008,Alive
+P101700,32,Female,Never,28,21,Medium,Asbestos,Moderate,Yes,No,22.6,Moderate,None,Good,West,High,Tertiary,Good,Never,No,None,2019,Alive
+P101701,27,Male,Former,16,33,Low,Asbestos,Low,Yes,No,22.6,Low,None,Poor,North,Low,Primary,Good,Regularly,No,Stage IV,2021,Alive
+P101702,40,Male,Current,21,7,High,Diesel Fumes,Low,No,No,35.2,Moderate,None,Good,West,Low,Secondary,Good,Occasionally,No,Stage I,2024,Alive
+P101703,54,Female,Former,23,17,High,Asbestos,Low,Yes,No,26.3,Moderate,None,Average,East,Middle,Secondary,Average,Occasionally,No,Stage III,2020,Alive
+P101704,47,Male,Former,16,23,Low,Asbestos,High,Yes,No,25.7,Low,None,Average,North,High,Tertiary,Average,Occasionally,Yes,None,2006,Alive
+P101705,29,Male,Never,20,1,High,Diesel Fumes,Moderate,No,No,21.2,High,None,Poor,East,High,Tertiary,Good,Occasionally,No,None,2020,Alive
+P101706,89,Female,Current,49,1,High,Silica,Moderate,Yes,No,28.9,Low,High,Poor,East,Middle,Tertiary,Good,Occasionally,No,None,2011,Alive
+P101707,54,Male,Never,10,26,Low,Asbestos,Low,Yes,No,19.2,Low,None,Good,West,Middle,Primary,Average,Regularly,No,None,2008,Alive
+P101708,45,Female,Current,6,13,Low,Diesel Fumes,Moderate,No,No,27.6,Moderate,None,Poor,West,Middle,Primary,Good,Never,No,None,2001,Alive
+P101709,46,Male,Never,41,38,Low,None,High,Yes,No,27.6,High,None,Poor,West,High,Secondary,Poor,Regularly,No,Stage II,2002,Alive
+P101710,56,Male,Current,38,11,High,Diesel Fumes,Low,No,No,30.1,Moderate,None,Average,East,Low,Tertiary,Average,Regularly,No,None,2004,Alive
+P101711,57,Male,Former,4,31,Low,None,High,Yes,No,15.2,High,Moderate,Average,South,Middle,Secondary,Poor,Occasionally,No,None,2017,Alive
+P101712,40,Female,Current,43,27,High,Diesel Fumes,High,No,No,30.6,Low,None,Average,East,Middle,Primary,Poor,Occasionally,No,None,2013,Alive
+P101713,62,Male,Former,47,27,Medium,Asbestos,Moderate,No,No,26.8,High,None,Average,South,Low,Secondary,Poor,Regularly,No,Stage I,2021,Alive
+P101714,38,Male,Current,20,24,Medium,Silica,Moderate,No,No,21.2,Moderate,None,Average,North,Low,Secondary,Poor,Regularly,No,None,2018,Alive
+P101715,60,Female,Never,17,3,Low,Silica,Low,No,No,14.2,Low,High,Average,West,High,Tertiary,Good,Never,No,None,2020,Deceased
+P101716,47,Female,Never,34,25,High,Asbestos,High,No,No,23.0,High,None,Average,West,Middle,Secondary,Good,Never,No,None,2004,Deceased
+P101717,26,Male,Former,19,35,High,None,Moderate,Yes,No,25.9,High,Moderate,Good,East,High,Tertiary,Good,Never,No,None,2009,Deceased
+P101718,89,Female,Never,14,2,High,Diesel Fumes,Low,No,No,17.4,Moderate,High,Average,South,Low,Secondary,Good,Never,No,Stage III,2015,Alive
+P101719,76,Male,Never,4,0,Low,Asbestos,Low,No,No,20.7,High,Moderate,Average,North,Middle,Secondary,Average,Never,Yes,None,2023,Alive
+P101720,86,Male,Current,12,16,High,Diesel Fumes,Moderate,Yes,No,18.7,Low,High,Average,East,High,Primary,Good,Occasionally,Yes,Stage II,2024,Alive
+P101721,47,Female,Current,11,6,High,Asbestos,High,No,No,22.8,High,High,Average,North,High,Primary,Average,Never,No,None,2019,Alive
+P101722,50,Female,Former,20,4,High,Asbestos,Low,Yes,No,19.6,Moderate,None,Average,South,Low,Secondary,Poor,Regularly,No,None,2000,Alive
+P101723,79,Female,Current,36,18,Medium,Diesel Fumes,Moderate,Yes,No,35.9,High,None,Poor,West,Middle,Secondary,Average,Occasionally,No,None,2020,Alive
+P101724,30,Male,Former,5,38,High,Silica,Low,No,Yes,29.3,Low,High,Poor,West,High,Tertiary,Good,Regularly,No,None,2003,Alive
+P101725,59,Female,Never,6,33,Medium,Silica,Moderate,Yes,No,19.5,Low,None,Average,South,High,Primary,Poor,Occasionally,No,None,2004,Deceased
+P101726,46,Male,Current,25,34,High,None,Low,Yes,No,20.2,High,None,Average,West,Low,Primary,Poor,Occasionally,No,None,2010,Alive
+P101727,67,Female,Current,41,15,High,Diesel Fumes,High,Yes,No,17.6,High,High,Average,East,Middle,Secondary,Good,Never,No,None,2013,Alive
+P101728,39,Male,Current,47,39,High,None,Low,No,No,24.2,Low,High,Good,South,Low,Tertiary,Poor,Regularly,No,None,2024,Alive
+P101729,84,Female,Never,7,38,Medium,Asbestos,Moderate,Yes,No,33.9,Moderate,Moderate,Average,West,High,Primary,Poor,Never,No,None,2023,Alive
+P101730,36,Male,Current,8,26,High,None,Moderate,No,No,31.0,Low,High,Good,South,Middle,Secondary,Poor,Regularly,Yes,None,2010,Alive
+P101731,73,Female,Never,26,37,Low,Asbestos,Moderate,No,No,26.0,High,Moderate,Good,North,Low,Secondary,Average,Regularly,No,None,2023,Alive
+P101732,66,Male,Never,3,24,High,Diesel Fumes,High,Yes,No,23.5,High,Moderate,Average,East,Middle,Secondary,Poor,Never,No,None,2007,Alive
+P101733,62,Female,Never,20,25,Medium,Diesel Fumes,Moderate,No,No,27.8,Moderate,None,Poor,East,Middle,Secondary,Poor,Never,No,None,2000,Alive
+P101734,69,Female,Current,30,13,Medium,Diesel Fumes,Moderate,Yes,No,26.4,Low,None,Average,East,Middle,Secondary,Average,Occasionally,No,Stage I,2006,Alive
+P101735,59,Male,Current,20,13,Low,Diesel Fumes,High,Yes,No,27.2,Low,High,Average,West,High,Primary,Good,Occasionally,No,None,2012,Deceased
+P101736,54,Female,Current,39,13,Low,None,Moderate,No,No,26.0,Moderate,High,Poor,North,Middle,Primary,Average,Occasionally,Yes,Stage I,2019,Alive
+P101737,54,Male,Former,24,24,Low,Asbestos,Moderate,No,No,27.2,Low,Moderate,Poor,West,Low,Tertiary,Average,Regularly,Yes,None,2005,Alive
+P101738,30,Male,Former,38,35,Medium,Silica,High,No,No,17.9,Moderate,Moderate,Average,West,Middle,Secondary,Good,Never,No,None,2003,Deceased
+P101739,31,Female,Never,14,3,High,Diesel Fumes,Low,Yes,No,24.4,Low,None,Average,South,Middle,Tertiary,Good,Occasionally,No,None,2011,Alive
+P101740,76,Male,Never,34,14,High,Diesel Fumes,Moderate,Yes,No,26.2,Moderate,High,Good,East,High,Secondary,Average,Never,No,None,2004,Deceased
+P101741,38,Female,Former,48,31,Low,Asbestos,Low,Yes,No,22.8,Moderate,High,Poor,West,Low,Secondary,Poor,Occasionally,No,Stage III,2004,Deceased
+P101742,39,Female,Current,42,17,Low,Silica,High,No,No,18.8,Moderate,High,Good,East,Middle,Secondary,Good,Occasionally,No,None,2016,Deceased
+P101743,45,Male,Former,40,13,High,Diesel Fumes,Moderate,Yes,Yes,25.0,High,High,Good,North,High,Tertiary,Poor,Never,No,None,2005,Deceased
+P101744,59,Female,Never,36,0,Low,Silica,Moderate,Yes,No,45.7,High,None,Good,North,High,Secondary,Good,Occasionally,No,None,2009,Alive
+P101745,26,Male,Never,41,19,High,Diesel Fumes,High,Yes,Yes,20.9,High,None,Good,East,Middle,Tertiary,Poor,Never,Yes,Stage II,2015,Alive
+P101746,59,Male,Never,46,9,High,None,Moderate,Yes,No,24.3,Low,Moderate,Poor,East,Middle,Primary,Average,Occasionally,No,None,2023,Alive
+P101747,44,Female,Former,27,9,High,None,Low,No,No,31.3,Moderate,None,Poor,North,Middle,Secondary,Average,Never,Yes,Stage I,2020,Alive
+P101748,34,Female,Current,13,23,High,Silica,Low,Yes,No,33.9,Low,Moderate,Poor,North,High,Tertiary,Average,Occasionally,No,None,2013,Alive
+P101749,49,Male,Current,3,33,Medium,Asbestos,High,No,No,22.1,Low,None,Average,West,Middle,Primary,Average,Occasionally,No,None,2009,Alive
+P101750,49,Male,Current,19,27,High,Asbestos,Moderate,Yes,No,29.8,Moderate,None,Good,North,High,Secondary,Good,Regularly,No,None,2021,Alive
+P101751,78,Female,Former,33,26,Low,None,Moderate,Yes,No,29.0,High,High,Average,West,Low,Primary,Average,Never,No,None,2020,Alive
+P101752,57,Female,Former,11,39,Low,Asbestos,High,Yes,No,22.5,Low,Moderate,Poor,North,Middle,Secondary,Poor,Occasionally,Yes,None,2016,Alive
+P101753,60,Female,Never,32,0,Low,Asbestos,Low,No,No,28.1,Low,Moderate,Poor,West,Low,Tertiary,Average,Regularly,No,None,2004,Alive
+P101754,38,Female,Current,23,32,Low,Asbestos,Low,No,No,24.1,Low,Moderate,Average,South,Low,Secondary,Average,Never,No,None,2001,Deceased
+P101755,89,Male,Current,19,3,Medium,Silica,High,No,No,21.9,High,None,Good,South,Low,Secondary,Average,Occasionally,No,None,2003,Alive
+P101756,78,Female,Never,4,6,High,Silica,Moderate,Yes,No,33.6,Moderate,High,Poor,West,High,Tertiary,Average,Occasionally,No,None,2017,Alive
+P101757,76,Male,Former,37,8,High,Asbestos,Low,Yes,No,28.2,Moderate,None,Good,East,High,Tertiary,Good,Occasionally,Yes,None,2007,Deceased
+P101758,27,Male,Former,29,15,Low,None,Moderate,No,No,16.6,Low,High,Good,South,High,Tertiary,Good,Never,No,Stage IV,2013,Alive
+P101759,65,Female,Current,23,4,Low,Asbestos,Low,Yes,No,24.4,Moderate,None,Poor,North,High,Secondary,Good,Regularly,Yes,Stage I,2012,Alive
+P101760,30,Male,Current,42,33,Low,Diesel Fumes,Moderate,Yes,Yes,22.4,High,Moderate,Average,East,Low,Primary,Poor,Occasionally,Yes,None,2006,Alive
+P101761,49,Female,Former,39,22,High,None,Low,No,No,23.9,Moderate,None,Good,North,High,Tertiary,Poor,Regularly,No,Stage III,2008,Alive
+P101762,37,Male,Former,6,24,Medium,Silica,Moderate,Yes,No,27.6,Low,Moderate,Average,South,Low,Primary,Average,Never,No,Stage III,2003,Alive
+P101763,32,Female,Never,35,12,Medium,Diesel Fumes,High,Yes,Yes,26.5,Low,High,Good,North,Low,Tertiary,Poor,Never,No,None,2004,Alive
+P101764,45,Male,Never,37,23,Medium,Asbestos,Low,Yes,No,32.2,Moderate,Moderate,Good,West,High,Tertiary,Poor,Occasionally,No,None,2014,Alive
+P101765,49,Male,Never,15,10,Medium,Asbestos,High,No,No,31.1,Low,Moderate,Poor,East,Low,Secondary,Poor,Occasionally,Yes,None,2008,Alive
+P101766,69,Female,Never,14,16,Low,None,Low,Yes,No,18.9,High,Moderate,Average,South,High,Tertiary,Poor,Occasionally,No,Stage III,2024,Alive
+P101767,84,Female,Current,45,36,High,None,Low,No,No,24.5,High,Moderate,Good,East,Low,Primary,Good,Regularly,No,Stage I,2017,Alive
+P101768,36,Male,Current,22,12,Low,Asbestos,Low,Yes,No,15.3,High,High,Average,West,Middle,Secondary,Good,Regularly,No,None,2013,Alive
+P101769,56,Male,Never,11,26,Medium,Asbestos,Moderate,No,No,20.0,High,None,Good,South,High,Tertiary,Poor,Occasionally,No,None,2014,Deceased
+P101770,37,Female,Current,28,19,Low,None,Low,No,No,14.5,Low,None,Average,North,Low,Primary,Poor,Never,Yes,None,2000,Alive
+P101771,55,Male,Never,43,32,Medium,Diesel Fumes,High,No,No,17.2,Low,None,Average,East,High,Secondary,Good,Never,No,None,2018,Deceased
+P101772,44,Female,Former,47,31,High,Silica,Moderate,No,No,32.0,Moderate,None,Poor,South,Low,Primary,Average,Occasionally,No,None,2000,Alive
+P101773,42,Male,Never,14,7,Medium,None,Moderate,Yes,No,28.8,Low,Moderate,Good,South,High,Secondary,Good,Regularly,No,None,2005,Alive
+P101774,84,Female,Former,28,28,Low,Diesel Fumes,Low,No,No,28.1,Moderate,High,Good,West,Middle,Secondary,Poor,Never,No,None,2007,Alive
+P101775,87,Male,Never,44,39,High,Asbestos,Moderate,Yes,No,30.9,Low,High,Good,South,Middle,Secondary,Poor,Regularly,No,None,2003,Alive
+P101776,30,Female,Former,42,18,Medium,Silica,Low,Yes,No,28.1,Moderate,None,Good,South,High,Tertiary,Poor,Occasionally,No,Stage III,2015,Alive
+P101777,56,Female,Former,48,5,Medium,Diesel Fumes,High,No,No,24.6,Moderate,None,Poor,West,High,Secondary,Good,Regularly,No,None,2010,Alive
+P101778,67,Male,Current,20,38,High,Silica,Moderate,Yes,No,22.1,High,High,Poor,North,Low,Tertiary,Poor,Regularly,No,None,2003,Alive
+P101779,26,Female,Never,14,20,Low,Silica,Moderate,Yes,No,33.5,Moderate,High,Good,North,Low,Tertiary,Good,Regularly,No,None,2010,Alive
+P101780,84,Male,Never,13,21,High,Silica,High,Yes,No,31.5,Moderate,Moderate,Average,South,High,Tertiary,Average,Never,No,None,2009,Alive
+P101781,47,Female,Never,41,9,Low,Diesel Fumes,High,Yes,No,23.9,Moderate,High,Poor,North,Middle,Tertiary,Poor,Regularly,No,None,2016,Alive
+P101782,55,Female,Current,43,9,Medium,Diesel Fumes,Low,No,No,28.8,Moderate,High,Average,West,Middle,Secondary,Poor,Regularly,Yes,Stage II,2008,Alive
+P101783,29,Female,Never,15,28,Medium,Asbestos,Moderate,Yes,No,11.0,Moderate,Moderate,Average,North,High,Tertiary,Average,Regularly,No,None,2009,Deceased
+P101784,58,Male,Current,14,15,High,Silica,High,Yes,No,29.1,High,Moderate,Average,South,Low,Primary,Good,Occasionally,Yes,None,2007,Alive
+P101785,34,Female,Former,41,0,Medium,None,Moderate,Yes,No,22.5,Moderate,Moderate,Good,West,High,Primary,Poor,Regularly,Yes,None,2013,Alive
+P101786,26,Male,Former,3,16,High,None,High,Yes,Yes,38.6,Moderate,High,Poor,North,High,Secondary,Poor,Regularly,No,None,2012,Alive
+P101787,35,Female,Former,26,29,Medium,None,Moderate,Yes,No,30.8,Moderate,High,Good,East,Middle,Tertiary,Poor,Never,Yes,None,2002,Alive
+P101788,74,Male,Never,22,25,Medium,Diesel Fumes,High,No,No,15.1,Low,High,Average,East,Middle,Primary,Poor,Occasionally,Yes,Stage III,2013,Alive
+P101789,55,Male,Never,28,18,Low,Asbestos,Moderate,Yes,No,21.4,Low,Moderate,Good,West,Low,Primary,Average,Regularly,No,None,2013,Deceased
+P101790,80,Male,Former,40,20,High,Diesel Fumes,Low,No,No,25.3,High,High,Average,North,Low,Tertiary,Good,Never,No,None,2002,Alive
+P101791,33,Female,Former,8,16,High,Silica,Moderate,Yes,No,24.8,Moderate,High,Good,South,High,Tertiary,Average,Never,Yes,None,2015,Deceased
+P101792,45,Male,Never,42,39,Medium,None,Low,No,No,24.6,Moderate,Moderate,Good,East,High,Secondary,Good,Regularly,No,None,2009,Alive
+P101793,52,Female,Never,42,20,Low,Diesel Fumes,Low,Yes,No,29.9,Low,None,Poor,North,High,Primary,Average,Never,No,None,2003,Alive
+P101794,86,Male,Current,6,39,Low,None,Low,Yes,No,22.3,Moderate,None,Poor,North,High,Secondary,Average,Never,No,None,2019,Deceased
+P101795,31,Male,Never,41,18,High,Diesel Fumes,Moderate,No,No,24.6,High,High,Average,South,Middle,Primary,Good,Never,No,None,2017,Alive
+P101796,40,Male,Current,3,6,High,None,Moderate,No,Yes,32.6,Moderate,Moderate,Average,South,Low,Tertiary,Poor,Never,No,None,2003,Alive
+P101797,28,Male,Current,4,16,Medium,Silica,Low,No,No,32.7,High,Moderate,Average,North,Low,Primary,Poor,Regularly,No,None,2001,Alive
+P101798,28,Female,Never,4,0,High,None,High,Yes,Yes,29.9,Low,High,Good,South,Low,Primary,Average,Regularly,No,Stage III,2010,Alive
+P101799,64,Male,Never,10,36,Medium,Silica,Moderate,No,No,23.3,High,High,Average,West,Low,Primary,Average,Never,No,None,2014,Alive
+P101800,41,Male,Never,40,5,Low,Silica,Moderate,No,No,21.5,High,None,Poor,East,Middle,Tertiary,Average,Regularly,No,None,2010,Alive
+P101801,76,Female,Current,27,25,High,Diesel Fumes,Moderate,No,No,24.8,High,Moderate,Average,East,High,Tertiary,Poor,Regularly,No,None,2022,Alive
+P101802,76,Male,Current,15,1,Low,Diesel Fumes,Moderate,Yes,No,25.1,High,High,Average,North,Low,Primary,Good,Never,No,Stage III,2020,Alive
+P101803,60,Male,Current,40,31,Low,Diesel Fumes,Low,Yes,Yes,24.8,High,Moderate,Good,North,Low,Primary,Poor,Never,Yes,None,2022,Alive
+P101804,62,Male,Current,29,4,Medium,Silica,High,Yes,No,27.8,High,High,Poor,South,High,Tertiary,Average,Never,No,Stage III,2005,Alive
+P101805,74,Male,Current,3,36,Low,Asbestos,High,No,No,26.8,High,None,Average,East,Middle,Tertiary,Poor,Regularly,No,None,2017,Alive
+P101806,87,Female,Never,1,30,Medium,Asbestos,High,Yes,No,26.6,High,High,Poor,South,Middle,Tertiary,Poor,Regularly,No,None,2017,Deceased
+P101807,87,Female,Never,45,11,Medium,Silica,High,Yes,No,22.7,High,None,Average,North,Low,Primary,Poor,Occasionally,No,Stage III,2000,Alive
+P101808,86,Male,Current,2,34,Low,Silica,Low,Yes,No,19.0,Low,None,Poor,North,Low,Secondary,Good,Occasionally,No,None,2012,Alive
+P101809,31,Female,Never,49,29,Low,Diesel Fumes,Moderate,Yes,No,28.5,High,High,Average,North,Low,Secondary,Average,Never,No,None,2000,Alive
+P101810,51,Female,Never,20,5,Medium,Diesel Fumes,Moderate,No,No,25.3,High,High,Average,North,Middle,Tertiary,Poor,Occasionally,No,None,2012,Alive
+P101811,38,Male,Current,5,14,Medium,Diesel Fumes,Low,Yes,No,27.0,Moderate,None,Good,North,Low,Secondary,Poor,Regularly,Yes,None,2020,Alive
+P101812,29,Female,Former,42,14,Low,Asbestos,Moderate,No,No,27.2,Moderate,Moderate,Good,North,High,Primary,Average,Occasionally,No,None,2004,Alive
+P101813,79,Male,Current,17,15,Medium,Asbestos,Low,No,No,14.9,Moderate,Moderate,Poor,West,Middle,Secondary,Poor,Occasionally,No,None,2022,Deceased
+P101814,26,Female,Current,43,19,Medium,Silica,High,No,No,33.6,High,None,Poor,West,Middle,Secondary,Poor,Never,No,None,2016,Alive
+P101815,86,Female,Never,4,12,High,Asbestos,Low,No,No,22.2,Low,None,Poor,South,High,Secondary,Poor,Regularly,No,None,2015,Deceased
+P101816,45,Female,Current,8,30,High,Diesel Fumes,Moderate,No,No,31.9,Low,High,Poor,West,High,Tertiary,Poor,Regularly,Yes,None,2020,Alive
+P101817,45,Male,Never,19,33,High,Diesel Fumes,Moderate,No,No,27.1,Moderate,High,Good,South,Middle,Primary,Average,Regularly,No,None,2017,Alive
+P101818,34,Female,Former,27,28,High,Diesel Fumes,Moderate,Yes,No,19.6,Moderate,None,Poor,South,Low,Tertiary,Poor,Regularly,No,None,2009,Alive
+P101819,82,Male,Former,25,2,High,Diesel Fumes,High,No,No,21.5,High,None,Average,West,Middle,Secondary,Good,Occasionally,No,Stage IV,2016,Alive
+P101820,63,Male,Never,17,8,Medium,Diesel Fumes,Low,Yes,No,21.6,Low,Moderate,Average,East,Low,Tertiary,Poor,Never,Yes,None,2006,Alive
+P101821,29,Female,Former,18,10,Medium,None,Low,No,No,21.8,Low,Moderate,Average,South,High,Primary,Good,Occasionally,Yes,None,2014,Alive
+P101822,89,Male,Never,2,10,High,Silica,Moderate,Yes,No,16.2,Moderate,Moderate,Good,North,Low,Primary,Average,Regularly,No,None,2018,Alive
+P101823,37,Female,Former,8,24,Low,Silica,Low,No,No,21.0,Low,None,Poor,South,High,Primary,Poor,Never,Yes,None,2008,Alive
+P101824,77,Male,Former,35,21,High,Asbestos,Moderate,Yes,No,29.8,Moderate,None,Average,South,Low,Primary,Good,Never,No,None,2020,Alive
+P101825,69,Male,Current,30,8,Low,Diesel Fumes,Low,Yes,No,30.3,Moderate,Moderate,Average,East,Low,Secondary,Good,Regularly,Yes,None,2020,Alive
+P101826,56,Female,Current,48,19,Medium,None,High,No,No,21.6,High,Moderate,Good,North,High,Secondary,Poor,Regularly,No,None,2004,Alive
+P101827,60,Female,Never,16,20,Low,Diesel Fumes,High,No,No,15.6,Moderate,High,Good,East,Low,Secondary,Poor,Never,No,Stage IV,2024,Deceased
+P101828,84,Female,Former,22,9,Medium,Diesel Fumes,Low,No,No,28.2,High,High,Good,East,Middle,Secondary,Average,Regularly,No,None,2009,Alive
+P101829,35,Female,Former,33,21,Low,Asbestos,High,No,No,19.6,Low,None,Average,East,Low,Secondary,Average,Regularly,No,Stage III,2012,Alive
+P101830,87,Male,Never,40,28,Medium,None,High,Yes,No,20.0,Low,High,Good,South,Middle,Tertiary,Poor,Regularly,No,None,2000,Deceased
+P101831,45,Male,Current,40,8,Medium,None,High,Yes,No,23.6,Moderate,None,Average,North,High,Primary,Average,Regularly,No,None,2020,Alive
+P101832,76,Male,Current,4,4,High,Silica,Moderate,No,No,23.1,Moderate,None,Poor,North,Low,Secondary,Average,Never,Yes,None,2005,Alive
+P101833,79,Female,Never,14,39,Medium,Diesel Fumes,Low,No,No,21.1,High,None,Average,East,Low,Primary,Average,Never,Yes,None,2024,Alive
+P101834,50,Male,Former,46,10,High,None,Low,Yes,No,21.5,High,Moderate,Poor,West,Middle,Primary,Average,Occasionally,No,None,2002,Deceased
+P101835,58,Female,Never,2,0,High,Silica,Moderate,No,No,22.5,Low,High,Average,North,Middle,Secondary,Poor,Occasionally,Yes,None,2016,Alive
+P101836,76,Male,Current,18,0,High,None,Moderate,Yes,No,21.4,Low,High,Poor,North,High,Secondary,Poor,Never,No,Stage IV,2011,Alive
+P101837,76,Female,Never,27,38,Low,Diesel Fumes,High,No,Yes,21.7,Moderate,High,Average,East,Middle,Primary,Good,Occasionally,No,None,2010,Alive
+P101838,53,Male,Current,2,4,Low,Silica,Low,No,No,23.5,Moderate,High,Average,South,Middle,Primary,Average,Regularly,No,None,2007,Alive
+P101839,62,Male,Current,37,21,Medium,None,Moderate,Yes,No,26.8,High,Moderate,Average,East,Middle,Primary,Poor,Regularly,No,None,2024,Alive
+P101840,66,Female,Former,3,25,High,Asbestos,High,Yes,Yes,26.2,Moderate,High,Average,West,Low,Tertiary,Good,Never,No,None,2011,Alive
+P101841,45,Male,Former,23,5,High,None,Low,No,Yes,22.3,High,High,Good,West,Low,Tertiary,Average,Occasionally,Yes,None,2010,Alive
+P101842,66,Female,Current,30,31,Medium,Diesel Fumes,High,Yes,No,23.4,Low,Moderate,Average,East,Low,Primary,Good,Regularly,Yes,None,2021,Alive
+P101843,37,Male,Former,44,10,High,Asbestos,Low,No,No,31.7,Low,High,Average,West,Low,Tertiary,Average,Occasionally,No,Stage II,2004,Alive
+P101844,88,Male,Never,44,9,Medium,None,High,Yes,No,29.9,Moderate,High,Good,South,Low,Primary,Poor,Never,No,None,2007,Alive
+P101845,41,Female,Former,10,38,High,None,Low,No,No,27.7,High,Moderate,Good,South,Middle,Primary,Good,Never,No,None,2011,Deceased
+P101846,33,Female,Current,36,33,Low,Silica,Low,No,No,16.1,Moderate,Moderate,Good,South,Middle,Secondary,Poor,Occasionally,No,None,2021,Alive
+P101847,65,Male,Current,0,30,Medium,Diesel Fumes,Low,No,No,25.5,Moderate,Moderate,Good,West,Low,Primary,Average,Never,No,None,2005,Alive
+P101848,25,Male,Current,8,11,Medium,None,Low,Yes,No,21.6,High,Moderate,Good,South,Low,Secondary,Average,Regularly,No,None,2008,Alive
+P101849,26,Male,Current,16,15,Low,None,High,Yes,No,20.2,Moderate,None,Good,East,High,Secondary,Average,Regularly,No,Stage II,2024,Deceased
+P101850,84,Male,Current,0,37,Medium,None,Moderate,Yes,No,23.2,High,Moderate,Good,South,High,Primary,Good,Occasionally,No,None,2016,Alive
+P101851,72,Male,Current,2,2,Low,Diesel Fumes,Low,Yes,No,30.2,High,High,Good,West,Middle,Tertiary,Good,Occasionally,No,None,2001,Deceased
+P101852,53,Male,Never,46,1,High,Asbestos,Low,No,No,29.4,Moderate,High,Good,North,High,Primary,Good,Never,No,None,2000,Alive
+P101853,34,Female,Former,25,4,Low,Diesel Fumes,Low,Yes,No,21.9,High,High,Good,West,Middle,Primary,Poor,Never,No,None,2017,Alive
+P101854,82,Female,Current,30,10,Low,Silica,Low,Yes,No,25.4,Low,High,Good,East,High,Tertiary,Good,Occasionally,No,Stage III,2002,Alive
+P101855,84,Female,Current,25,24,Medium,Silica,High,Yes,No,22.9,Low,None,Poor,East,Low,Secondary,Average,Never,No,Stage III,2013,Alive
+P101856,45,Male,Current,22,34,High,Diesel Fumes,Moderate,No,No,23.8,Low,None,Average,West,Low,Tertiary,Poor,Occasionally,Yes,None,2012,Alive
+P101857,52,Male,Never,29,34,Low,None,Moderate,Yes,No,30.0,Low,None,Average,South,Middle,Primary,Average,Occasionally,Yes,None,2001,Alive
+P101858,58,Male,Current,9,21,High,None,Moderate,Yes,No,24.7,Moderate,High,Good,South,Middle,Primary,Average,Regularly,No,None,2021,Alive
+P101859,32,Female,Current,7,36,Low,Asbestos,High,No,No,16.2,Low,High,Good,North,Middle,Tertiary,Good,Never,No,None,2003,Deceased
+P101860,83,Female,Never,43,21,Medium,Diesel Fumes,Moderate,No,No,25.7,Low,Moderate,Poor,South,Middle,Tertiary,Good,Occasionally,Yes,Stage I,2014,Alive
+P101861,73,Male,Former,24,10,Low,Diesel Fumes,High,No,No,34.1,Low,Moderate,Good,East,High,Tertiary,Good,Regularly,No,None,2004,Alive
+P101862,41,Male,Never,21,31,Low,None,High,No,No,21.5,Low,High,Poor,South,Low,Secondary,Average,Occasionally,No,None,2009,Alive
+P101863,84,Female,Former,14,34,High,Silica,Low,No,No,32.7,Moderate,Moderate,Average,West,High,Tertiary,Poor,Never,No,None,2008,Alive
+P101864,69,Female,Never,40,30,Low,Silica,High,No,Yes,28.1,Low,Moderate,Average,West,Low,Primary,Good,Regularly,No,Stage II,2017,Alive
+P101865,56,Female,Former,9,7,Medium,Asbestos,Moderate,No,No,30.9,High,High,Good,North,Low,Tertiary,Good,Never,No,None,2002,Deceased
+P101866,68,Male,Former,19,19,Medium,Asbestos,Moderate,Yes,No,29.4,High,None,Poor,East,High,Primary,Poor,Regularly,Yes,None,2013,Deceased
+P101867,89,Male,Current,40,33,Low,Silica,Moderate,No,No,25.9,Moderate,High,Poor,West,Middle,Secondary,Average,Never,No,None,2009,Alive
+P101868,32,Male,Current,46,3,Low,Diesel Fumes,Low,No,No,21.9,Moderate,High,Average,East,High,Secondary,Average,Occasionally,No,None,2016,Alive
+P101869,67,Female,Current,22,17,High,Asbestos,Low,No,Yes,25.9,Moderate,Moderate,Average,South,High,Tertiary,Poor,Occasionally,Yes,None,2014,Deceased
+P101870,25,Female,Never,0,3,High,None,Low,No,No,26.2,Low,Moderate,Poor,North,High,Primary,Good,Occasionally,No,None,2017,Alive
+P101871,75,Male,Never,1,19,Medium,Diesel Fumes,High,No,No,29.9,Moderate,High,Poor,North,Low,Secondary,Poor,Never,Yes,Stage IV,2016,Alive
+P101872,48,Male,Current,18,8,High,None,Moderate,Yes,No,13.7,Low,None,Average,South,Middle,Tertiary,Good,Regularly,No,None,2024,Alive
+P101873,48,Female,Never,13,15,Low,Asbestos,High,Yes,No,17.9,Moderate,High,Poor,West,Low,Secondary,Poor,Never,No,None,2002,Deceased
+P101874,41,Male,Current,7,25,Medium,Silica,High,Yes,No,26.2,High,None,Average,East,High,Tertiary,Average,Occasionally,Yes,Stage III,2015,Deceased
+P101875,29,Female,Current,37,37,High,Asbestos,Moderate,Yes,No,26.7,High,None,Poor,East,High,Primary,Average,Never,Yes,Stage I,2018,Alive
+P101876,44,Female,Former,11,24,Medium,Silica,Low,Yes,No,20.7,Low,High,Good,East,Low,Tertiary,Average,Regularly,No,None,2012,Alive
+P101877,45,Male,Current,25,3,Low,Diesel Fumes,Moderate,Yes,No,26.8,Moderate,High,Average,West,Low,Primary,Average,Occasionally,Yes,None,2022,Alive
+P101878,82,Female,Never,26,37,High,Asbestos,High,Yes,No,28.4,High,High,Poor,South,Middle,Secondary,Poor,Never,Yes,Stage I,2016,Alive
+P101879,55,Male,Former,28,18,Low,Asbestos,High,No,No,24.0,Low,None,Average,East,High,Primary,Poor,Occasionally,Yes,None,2024,Alive
+P101880,35,Female,Current,14,13,Low,Asbestos,Low,No,No,32.1,High,Moderate,Poor,West,Low,Primary,Good,Never,No,None,2022,Alive
+P101881,76,Female,Former,45,20,Medium,Diesel Fumes,High,No,Yes,33.1,Moderate,None,Good,East,Low,Secondary,Poor,Never,No,None,2015,Alive
+P101882,39,Male,Current,0,14,Medium,None,High,No,No,25.6,Low,None,Good,West,Low,Primary,Good,Occasionally,No,None,2008,Alive
+P101883,31,Female,Never,42,2,Medium,None,Moderate,No,No,29.2,High,None,Good,South,Low,Primary,Poor,Regularly,No,None,2023,Alive
+P101884,52,Male,Former,27,36,High,Silica,Low,No,No,16.5,Moderate,Moderate,Average,East,High,Tertiary,Poor,Occasionally,No,None,2020,Alive
+P101885,75,Male,Former,2,15,High,Asbestos,Moderate,Yes,No,30.4,Low,None,Good,South,Middle,Primary,Poor,Regularly,No,Stage II,2011,Alive
+P101886,82,Female,Current,17,13,Medium,None,Moderate,No,No,32.3,High,None,Average,North,Low,Tertiary,Poor,Occasionally,No,None,2002,Alive
+P101887,29,Male,Never,33,8,High,Diesel Fumes,Moderate,No,No,19.9,High,None,Good,West,Low,Primary,Average,Occasionally,Yes,None,2008,Alive
+P101888,29,Male,Former,31,6,High,Asbestos,High,No,No,28.1,Low,Moderate,Average,North,Middle,Secondary,Poor,Occasionally,No,None,2015,Alive
+P101889,32,Male,Current,28,13,Medium,Silica,High,Yes,No,15.6,Moderate,None,Good,South,High,Primary,Good,Never,No,None,2004,Alive
+P101890,88,Male,Never,24,5,Low,None,Low,Yes,No,21.1,Low,Moderate,Poor,South,Low,Primary,Average,Never,No,None,2024,Alive
+P101891,34,Male,Current,25,20,High,Diesel Fumes,High,Yes,No,22.4,High,Moderate,Poor,South,Middle,Primary,Poor,Regularly,No,None,2018,Alive
+P101892,62,Male,Former,38,14,High,Diesel Fumes,Low,No,No,17.6,High,High,Average,East,Middle,Tertiary,Poor,Occasionally,No,None,2021,Alive
+P101893,32,Female,Current,7,7,Low,Silica,Moderate,No,No,23.8,High,High,Good,East,High,Secondary,Good,Never,Yes,None,2012,Alive
+P101894,49,Male,Current,18,33,Low,None,Moderate,No,No,23.5,Moderate,High,Good,South,Middle,Secondary,Average,Never,Yes,None,2001,Deceased
+P101895,74,Female,Never,46,39,Low,Asbestos,High,Yes,No,28.1,High,Moderate,Poor,South,High,Primary,Average,Occasionally,No,None,2018,Alive
+P101896,73,Female,Former,41,0,Medium,Diesel Fumes,High,Yes,No,17.4,High,High,Good,East,Middle,Primary,Average,Occasionally,No,Stage I,2017,Alive
+P101897,60,Male,Current,21,31,Low,Silica,Low,No,No,28.1,Low,High,Good,East,Low,Tertiary,Average,Occasionally,No,None,2011,Alive
+P101898,65,Female,Former,28,4,Medium,Diesel Fumes,High,Yes,No,21.1,High,High,Average,West,High,Secondary,Good,Regularly,No,None,2017,Alive
+P101899,86,Female,Current,32,29,Low,Diesel Fumes,High,No,No,18.6,Low,Moderate,Poor,South,Middle,Primary,Poor,Occasionally,No,Stage IV,2004,Alive
+P101900,34,Male,Former,37,21,Low,None,High,Yes,No,24.0,High,None,Good,East,Low,Primary,Poor,Never,No,Stage I,2019,Alive
+P101901,45,Male,Never,44,19,Medium,None,Moderate,Yes,No,28.8,Low,High,Good,East,Middle,Secondary,Average,Never,No,None,2019,Alive
+P101902,60,Male,Former,45,15,Medium,Asbestos,High,Yes,No,22.6,Low,High,Average,North,Low,Primary,Good,Occasionally,No,None,2007,Alive
+P101903,36,Female,Current,34,6,Low,Diesel Fumes,High,No,No,27.6,Low,High,Average,South,High,Primary,Poor,Regularly,Yes,None,2021,Alive
+P101904,26,Female,Former,42,6,Low,Silica,Moderate,Yes,No,26.4,Low,High,Average,South,Low,Secondary,Average,Regularly,No,None,2015,Alive
+P101905,37,Male,Current,2,1,Low,Diesel Fumes,Moderate,No,No,40.7,Moderate,Moderate,Average,East,Middle,Tertiary,Average,Never,No,Stage I,2001,Alive
+P101906,77,Male,Current,18,13,High,Silica,Moderate,No,No,23.4,High,None,Good,North,Low,Primary,Good,Regularly,No,None,2012,Alive
+P101907,56,Female,Former,9,30,Low,Diesel Fumes,Moderate,No,No,24.2,Moderate,None,Good,West,Low,Primary,Good,Occasionally,No,None,2000,Alive
+P101908,40,Female,Never,26,13,Medium,Silica,High,Yes,No,30.5,High,High,Good,South,High,Secondary,Good,Regularly,No,Stage III,2004,Alive
+P101909,56,Female,Current,14,4,High,Diesel Fumes,High,Yes,No,24.7,Low,None,Average,West,Low,Secondary,Average,Regularly,No,None,2022,Alive
+P101910,56,Female,Former,10,10,Medium,Diesel Fumes,High,Yes,No,26.3,High,High,Good,South,Low,Tertiary,Good,Never,No,None,2020,Deceased
+P101911,35,Male,Current,46,39,High,Asbestos,Low,No,No,16.2,Low,High,Poor,East,Middle,Tertiary,Average,Never,No,Stage I,2011,Alive
+P101912,34,Female,Former,25,4,High,None,Moderate,Yes,No,24.4,High,None,Poor,West,Middle,Primary,Poor,Never,No,None,2003,Alive
+P101913,39,Female,Former,23,28,Medium,None,High,Yes,No,21.5,Low,None,Good,South,High,Tertiary,Average,Regularly,No,None,2004,Alive
+P101914,41,Female,Current,12,10,High,Silica,High,No,Yes,22.6,High,Moderate,Average,West,High,Tertiary,Average,Never,No,None,2010,Deceased
+P101915,64,Female,Former,31,4,Medium,Diesel Fumes,High,No,No,26.3,High,High,Poor,East,High,Tertiary,Poor,Never,No,Stage I,2009,Alive
+P101916,42,Male,Former,36,31,Low,Diesel Fumes,Moderate,No,No,24.7,High,None,Good,North,Middle,Primary,Good,Regularly,No,None,2007,Deceased
+P101917,79,Male,Former,3,35,High,None,Moderate,Yes,No,28.9,Low,Moderate,Poor,North,Low,Tertiary,Good,Regularly,No,None,2020,Alive
+P101918,49,Female,Former,12,14,Medium,Silica,Moderate,Yes,No,29.8,High,None,Poor,West,High,Tertiary,Average,Regularly,No,None,2008,Deceased
+P101919,83,Female,Former,8,18,High,Asbestos,High,No,Yes,24.1,Low,None,Poor,West,Middle,Tertiary,Average,Occasionally,No,Stage IV,2006,Alive
+P101920,46,Male,Current,48,21,Medium,Asbestos,Moderate,Yes,No,26.5,Moderate,High,Poor,West,Middle,Secondary,Poor,Occasionally,Yes,None,2013,Alive
+P101921,54,Male,Former,33,33,Low,Asbestos,High,No,No,14.8,High,Moderate,Good,South,High,Tertiary,Good,Regularly,No,None,2010,Alive
+P101922,68,Female,Former,36,16,Low,Diesel Fumes,Low,Yes,No,26.6,Low,High,Poor,East,Middle,Tertiary,Poor,Never,No,None,2017,Alive
+P101923,56,Female,Current,47,11,High,Silica,Moderate,No,No,30.3,Low,None,Good,West,Low,Secondary,Average,Regularly,No,Stage IV,2024,Deceased
+P101924,75,Male,Never,6,24,High,None,Moderate,Yes,No,20.5,Low,Moderate,Poor,North,Middle,Secondary,Average,Occasionally,Yes,None,2017,Alive
+P101925,70,Male,Never,0,16,Medium,Diesel Fumes,High,No,No,28.8,Moderate,High,Poor,South,Middle,Primary,Poor,Never,No,None,2021,Alive
+P101926,45,Male,Current,11,9,Medium,Diesel Fumes,Moderate,No,No,22.7,Low,Moderate,Poor,West,Low,Primary,Poor,Occasionally,No,None,2007,Alive
+P101927,56,Male,Current,20,27,High,Asbestos,Moderate,No,No,22.1,Moderate,None,Good,South,High,Secondary,Good,Occasionally,Yes,None,2001,Alive
+P101928,63,Male,Former,10,17,Medium,Silica,High,Yes,No,32.1,Moderate,Moderate,Poor,West,Middle,Primary,Poor,Occasionally,No,None,2021,Alive
+P101929,36,Male,Current,43,17,Medium,Silica,High,Yes,No,24.8,Low,None,Poor,West,Low,Tertiary,Good,Occasionally,Yes,None,2020,Alive
+P101930,71,Female,Never,43,31,Medium,Asbestos,High,Yes,No,29.3,High,High,Average,South,High,Primary,Good,Never,No,None,2006,Alive
+P101931,42,Male,Current,43,13,High,Asbestos,Low,No,No,15.2,Moderate,None,Poor,East,Low,Tertiary,Poor,Regularly,No,None,2004,Alive
+P101932,45,Male,Former,13,15,Low,Asbestos,High,No,No,22.0,Low,None,Average,East,Middle,Tertiary,Poor,Never,No,None,2013,Alive
+P101933,37,Male,Former,33,17,Low,Diesel Fumes,Moderate,No,No,28.6,Moderate,Moderate,Good,North,Low,Tertiary,Good,Regularly,No,None,2013,Deceased
+P101934,45,Male,Former,33,15,Medium,Diesel Fumes,Low,No,Yes,25.6,Low,Moderate,Poor,East,High,Secondary,Poor,Regularly,No,None,2002,Alive
+P101935,32,Female,Never,24,16,High,Diesel Fumes,High,No,No,24.1,Low,High,Poor,East,High,Primary,Good,Never,No,None,2005,Alive
+P101936,70,Female,Never,3,6,Medium,None,Low,No,Yes,28.0,Moderate,Moderate,Average,South,High,Primary,Good,Regularly,No,None,2022,Alive
+P101937,31,Male,Current,25,11,Low,None,Low,No,No,20.8,Low,High,Average,South,Low,Secondary,Average,Never,No,None,2016,Alive
+P101938,47,Female,Former,15,33,Medium,Silica,Moderate,No,No,31.1,Moderate,None,Poor,North,Low,Secondary,Good,Never,No,None,2023,Alive
+P101939,46,Female,Former,9,9,Low,Asbestos,Low,No,Yes,23.9,Low,None,Good,West,High,Primary,Average,Regularly,No,None,2007,Deceased
+P101940,46,Female,Never,44,4,High,Asbestos,High,Yes,Yes,20.9,High,Moderate,Average,South,High,Secondary,Poor,Regularly,Yes,None,2019,Alive
+P101941,53,Female,Never,1,20,Medium,Diesel Fumes,Low,No,No,21.2,High,None,Poor,South,High,Secondary,Good,Occasionally,No,None,2023,Alive
+P101942,37,Female,Current,34,2,High,None,Low,Yes,No,24.6,Moderate,None,Average,South,Middle,Tertiary,Good,Regularly,No,None,2002,Alive
+P101943,26,Female,Former,18,18,Medium,Asbestos,Moderate,No,No,22.9,Moderate,High,Good,East,Middle,Tertiary,Poor,Regularly,No,Stage I,2014,Alive
+P101944,53,Male,Former,5,34,Medium,Silica,Moderate,Yes,No,27.6,Moderate,Moderate,Average,South,Middle,Tertiary,Poor,Regularly,No,Stage II,2004,Alive
+P101945,76,Male,Never,18,5,Medium,Asbestos,High,No,No,24.8,Moderate,High,Poor,North,High,Secondary,Poor,Never,No,Stage I,2018,Alive
+P101946,51,Male,Current,7,13,Medium,Diesel Fumes,Moderate,Yes,No,23.2,High,None,Average,North,Middle,Secondary,Good,Occasionally,No,Stage IV,2001,Alive
+P101947,74,Male,Never,13,3,Medium,Diesel Fumes,High,No,No,26.8,Moderate,None,Good,South,High,Tertiary,Poor,Occasionally,No,Stage III,2020,Alive
+P101948,47,Male,Never,9,17,High,None,High,No,No,22.4,Low,None,Poor,West,Low,Tertiary,Poor,Never,No,None,2007,Alive
+P101949,68,Female,Former,2,28,High,Silica,Moderate,No,Yes,27.5,Low,Moderate,Poor,South,High,Primary,Average,Regularly,No,None,2008,Alive
+P101950,46,Male,Never,37,34,Low,Silica,Low,Yes,No,26.6,Moderate,None,Poor,North,High,Tertiary,Average,Regularly,No,None,2004,Alive
+P101951,67,Male,Never,28,37,Medium,Asbestos,Moderate,No,No,26.4,Low,None,Poor,West,Middle,Tertiary,Good,Never,No,None,2002,Alive
+P101952,61,Female,Current,14,15,Low,Silica,Low,Yes,No,23.2,Moderate,High,Good,East,Low,Primary,Poor,Occasionally,No,Stage IV,2011,Deceased
+P101953,85,Female,Current,22,19,High,Asbestos,Low,Yes,No,21.9,Low,Moderate,Poor,South,Low,Primary,Poor,Never,No,None,2002,Alive
+P101954,80,Male,Current,22,23,Low,Asbestos,High,Yes,No,29.0,Low,None,Good,North,Low,Primary,Average,Never,No,None,2023,Alive
+P101955,27,Female,Former,17,34,High,None,High,Yes,No,28.1,Moderate,High,Good,East,Middle,Primary,Good,Regularly,No,None,2018,Alive
+P101956,87,Female,Never,45,18,Medium,Silica,Moderate,Yes,No,20.0,Moderate,None,Average,North,Middle,Secondary,Poor,Never,No,Stage IV,2015,Alive
+P101957,43,Female,Never,18,3,Low,Diesel Fumes,Low,No,No,22.8,High,High,Average,East,Middle,Primary,Good,Never,No,None,2024,Deceased
+P101958,47,Female,Current,27,32,Low,Asbestos,Moderate,Yes,No,31.7,Moderate,None,Poor,North,Middle,Primary,Average,Never,No,None,2015,Alive
+P101959,53,Male,Former,25,1,Low,Asbestos,High,Yes,No,29.9,High,Moderate,Poor,North,Middle,Secondary,Poor,Regularly,No,None,2000,Alive
+P101960,54,Female,Current,9,12,Low,Asbestos,Low,Yes,No,19.1,Moderate,Moderate,Good,East,High,Primary,Average,Regularly,Yes,Stage II,2016,Alive
+P101961,63,Male,Never,46,29,Medium,Silica,Moderate,Yes,No,25.1,Low,High,Average,South,Low,Primary,Average,Occasionally,No,Stage III,2020,Alive
+P101962,49,Male,Former,3,33,High,Silica,Moderate,No,No,27.1,High,None,Poor,North,Middle,Primary,Average,Occasionally,No,Stage I,2019,Alive
+P101963,32,Female,Never,1,29,High,Silica,High,No,Yes,30.0,Low,Moderate,Poor,West,Low,Secondary,Poor,Occasionally,No,None,2002,Alive
+P101964,82,Female,Former,2,23,Medium,Asbestos,High,No,No,25.6,Moderate,None,Good,South,Middle,Tertiary,Good,Regularly,No,None,2016,Alive
+P101965,40,Female,Current,6,32,High,Diesel Fumes,High,Yes,No,27.4,Moderate,Moderate,Average,West,High,Primary,Poor,Occasionally,No,None,2022,Alive
+P101966,25,Male,Current,15,9,Low,Diesel Fumes,High,Yes,No,29.7,Moderate,High,Poor,North,Low,Primary,Average,Never,No,Stage III,2016,Deceased
+P101967,29,Female,Former,30,17,Medium,Silica,Moderate,Yes,No,30.3,Moderate,Moderate,Poor,East,Middle,Primary,Good,Occasionally,Yes,None,2015,Alive
+P101968,27,Female,Former,9,18,High,Diesel Fumes,High,No,No,24.1,High,None,Poor,South,High,Primary,Average,Never,No,None,2005,Alive
+P101969,89,Female,Current,18,6,Medium,Asbestos,High,Yes,Yes,25.2,High,None,Poor,East,High,Secondary,Poor,Occasionally,No,None,2017,Alive
+P101970,28,Female,Current,27,18,Medium,Silica,Moderate,No,No,21.2,Moderate,None,Poor,East,Low,Tertiary,Good,Regularly,No,None,2013,Alive
+P101971,88,Female,Never,16,23,High,Silica,Moderate,Yes,No,23.6,Low,High,Poor,West,Middle,Primary,Poor,Never,No,None,2019,Alive
+P101972,34,Male,Former,27,14,High,Asbestos,Low,Yes,No,23.0,High,High,Average,West,High,Primary,Good,Never,No,None,2007,Alive
+P101973,45,Female,Never,18,22,Medium,Silica,Moderate,No,No,24.1,Low,None,Good,South,High,Secondary,Average,Regularly,No,None,2018,Alive
+P101974,70,Female,Former,36,3,Medium,Asbestos,Low,Yes,No,24.5,Moderate,None,Good,South,High,Tertiary,Average,Never,Yes,None,2008,Alive
+P101975,51,Female,Former,22,37,High,Silica,High,No,No,29.1,High,Moderate,Good,South,Low,Tertiary,Average,Occasionally,No,None,2020,Deceased
+P101976,65,Male,Former,19,3,Medium,Diesel Fumes,Low,Yes,No,26.7,High,Moderate,Poor,West,Low,Tertiary,Poor,Regularly,No,Stage IV,2021,Alive
+P101977,37,Female,Former,12,4,High,Silica,Low,No,No,18.6,High,Moderate,Good,West,Middle,Primary,Poor,Never,No,None,2017,Deceased
+P101978,33,Male,Never,12,22,Medium,Silica,High,Yes,No,27.8,Low,None,Average,East,Middle,Primary,Average,Regularly,No,None,2000,Alive
+P101979,60,Male,Former,42,39,Medium,Silica,High,Yes,No,22.3,Moderate,Moderate,Poor,East,Low,Primary,Average,Never,No,None,2020,Alive
+P101980,82,Female,Current,10,36,Medium,None,High,Yes,No,19.6,Moderate,None,Average,East,Low,Secondary,Good,Never,No,None,2016,Alive
+P101981,78,Female,Current,47,10,High,Diesel Fumes,Low,Yes,No,19.3,High,High,Poor,South,Low,Secondary,Good,Regularly,No,None,2003,Alive
+P101982,36,Female,Former,14,10,Low,Asbestos,Moderate,Yes,No,25.8,High,Moderate,Poor,North,High,Secondary,Poor,Never,No,None,2015,Alive
+P101983,38,Male,Current,16,12,High,None,Moderate,No,No,30.3,Moderate,None,Good,West,Low,Primary,Good,Occasionally,No,None,2023,Alive
+P101984,58,Male,Current,49,13,Medium,Diesel Fumes,Moderate,No,No,23.9,Low,None,Average,South,Middle,Primary,Poor,Occasionally,No,None,2011,Alive
+P101985,77,Male,Never,27,7,Low,Silica,High,Yes,No,29.7,High,High,Good,West,High,Primary,Poor,Never,Yes,Stage IV,2012,Alive
+P101986,44,Male,Never,18,24,Low,Silica,High,No,No,25.4,Low,High,Poor,North,Low,Tertiary,Good,Never,No,None,2001,Alive
+P101987,40,Male,Current,3,17,Medium,Asbestos,Moderate,No,No,14.2,Low,High,Average,West,Middle,Secondary,Good,Occasionally,No,None,2021,Alive
+P101988,80,Male,Current,21,17,High,Asbestos,High,No,No,28.1,Moderate,High,Average,West,Low,Secondary,Good,Never,No,None,2011,Alive
+P101989,82,Female,Current,21,9,Low,Diesel Fumes,Low,No,Yes,22.3,Moderate,Moderate,Poor,West,Middle,Tertiary,Average,Never,No,None,2009,Alive
+P101990,28,Female,Current,36,6,Low,Diesel Fumes,Low,Yes,No,20.9,Low,High,Good,East,High,Tertiary,Average,Regularly,No,Stage II,2014,Alive
+P101991,28,Male,Current,38,13,High,Asbestos,High,No,No,28.1,Low,None,Poor,North,High,Tertiary,Good,Regularly,No,None,2004,Alive
+P101992,44,Female,Former,33,14,High,Diesel Fumes,Moderate,No,No,25.7,Moderate,None,Average,South,Middle,Primary,Average,Occasionally,No,None,2000,Alive
+P101993,34,Female,Never,32,15,Low,Asbestos,Moderate,Yes,No,24.7,High,None,Average,South,Middle,Tertiary,Poor,Occasionally,No,None,2007,Deceased
+P101994,48,Male,Never,43,1,High,Silica,Low,Yes,No,25.5,Low,None,Average,South,High,Primary,Average,Regularly,No,None,2020,Alive
+P101995,50,Male,Former,41,29,Low,Asbestos,High,Yes,No,20.8,High,None,Poor,North,High,Primary,Average,Regularly,Yes,None,2024,Alive
+P101996,61,Female,Current,39,29,Medium,None,Moderate,Yes,Yes,33.8,Low,High,Average,West,Middle,Secondary,Average,Occasionally,No,None,2017,Alive
+P101997,78,Male,Former,32,17,High,Asbestos,Moderate,Yes,No,25.9,Moderate,None,Average,South,Middle,Tertiary,Poor,Occasionally,Yes,None,2005,Alive
+P101998,45,Male,Current,11,30,Low,Asbestos,High,Yes,No,25.8,High,High,Good,North,Low,Primary,Poor,Occasionally,No,Stage IV,2022,Alive
+P101999,62,Female,Never,1,12,High,None,High,Yes,No,24.6,Moderate,High,Good,East,Low,Primary,Good,Regularly,No,None,2000,Alive
+P102000,70,Male,Former,27,19,High,None,Moderate,Yes,No,16.9,Low,High,Average,North,High,Tertiary,Average,Regularly,No,None,2013,Deceased
+P102001,28,Female,Never,9,34,Low,None,High,No,No,21.6,Moderate,High,Good,East,High,Primary,Average,Never,No,None,2009,Alive
+P102002,84,Female,Former,21,22,Medium,None,High,Yes,Yes,18.9,High,Moderate,Poor,North,Low,Primary,Poor,Occasionally,No,None,2003,Alive
+P102003,81,Female,Current,16,32,Low,Asbestos,High,No,No,18.4,Moderate,Moderate,Good,East,Low,Primary,Average,Never,No,None,2017,Alive
+P102004,69,Female,Current,25,37,High,Diesel Fumes,Moderate,Yes,No,17.3,High,Moderate,Good,South,High,Tertiary,Poor,Occasionally,No,None,2022,Alive
+P102005,44,Female,Current,2,34,Low,None,Low,Yes,No,21.8,Moderate,Moderate,Good,North,High,Primary,Average,Regularly,Yes,None,2018,Alive
+P102006,41,Male,Never,6,35,High,Silica,High,No,No,25.1,Moderate,Moderate,Good,East,Middle,Secondary,Good,Occasionally,Yes,None,2024,Alive
+P102007,28,Male,Former,43,19,Low,Asbestos,Moderate,Yes,No,17.9,High,None,Poor,West,Middle,Tertiary,Poor,Occasionally,No,None,2007,Alive
+P102008,38,Male,Former,7,2,Medium,Diesel Fumes,Low,Yes,No,28.5,High,Moderate,Good,South,High,Secondary,Poor,Regularly,Yes,Stage I,2011,Deceased
+P102009,27,Male,Former,19,7,Medium,Silica,Moderate,No,No,26.5,High,None,Average,South,Low,Secondary,Poor,Regularly,No,Stage I,2009,Alive
+P102010,82,Female,Current,11,39,Medium,Asbestos,Moderate,No,No,23.8,Low,None,Good,East,Middle,Secondary,Average,Occasionally,No,Stage III,2012,Alive
+P102011,79,Female,Current,34,31,Medium,Asbestos,Moderate,No,No,35.8,Moderate,High,Good,East,High,Primary,Good,Occasionally,No,Stage IV,2006,Alive
+P102012,28,Male,Current,16,28,Low,Silica,Low,No,Yes,23.8,High,High,Average,North,Low,Primary,Poor,Occasionally,No,None,2023,Alive
+P102013,48,Female,Never,27,6,Medium,None,Moderate,No,No,29.0,Low,High,Poor,East,Low,Secondary,Good,Occasionally,No,None,2016,Alive
+P102014,58,Male,Current,40,1,Low,None,Low,No,No,26.0,Low,Moderate,Average,East,High,Secondary,Poor,Occasionally,Yes,Stage II,2011,Alive
+P102015,54,Male,Never,9,20,High,Silica,High,Yes,No,32.2,High,None,Average,West,Middle,Tertiary,Good,Regularly,No,Stage III,2005,Alive
+P102016,43,Male,Current,21,5,High,Diesel Fumes,Low,Yes,No,30.4,High,Moderate,Average,South,Middle,Secondary,Average,Occasionally,No,None,2022,Alive
+P102017,55,Female,Former,37,27,High,None,Moderate,Yes,Yes,23.5,High,High,Average,East,High,Primary,Average,Regularly,Yes,None,2006,Deceased
+P102018,84,Female,Former,32,35,Medium,Asbestos,Low,Yes,No,23.7,Low,High,Good,East,Low,Secondary,Good,Never,No,None,2012,Alive
+P102019,84,Female,Former,21,31,Medium,Asbestos,Moderate,Yes,No,18.3,Low,None,Good,West,Middle,Secondary,Good,Never,No,None,2013,Alive
+P102020,43,Female,Current,43,8,Medium,Diesel Fumes,High,No,No,25.6,Moderate,None,Good,East,High,Tertiary,Average,Occasionally,No,None,2024,Alive
+P102021,73,Male,Never,36,10,High,Asbestos,Low,No,No,28.3,Low,High,Good,West,Middle,Secondary,Good,Never,No,None,2022,Alive
+P102022,87,Female,Former,12,22,High,None,High,Yes,No,24.7,High,Moderate,Poor,South,High,Tertiary,Good,Regularly,No,None,2022,Alive
+P102023,46,Female,Current,26,10,High,Diesel Fumes,Low,No,No,32.0,Moderate,Moderate,Good,South,Middle,Tertiary,Good,Never,No,None,2012,Deceased
+P102024,48,Female,Former,14,1,High,None,Moderate,Yes,No,25.7,Moderate,None,Good,West,Middle,Secondary,Poor,Never,No,None,2005,Alive
+P102025,54,Male,Never,21,2,Low,Diesel Fumes,Low,No,No,31.2,Moderate,High,Poor,West,Middle,Secondary,Good,Regularly,No,None,2018,Deceased
+P102026,82,Male,Former,29,10,Low,Silica,High,Yes,No,24.2,Moderate,Moderate,Average,South,High,Primary,Poor,Occasionally,Yes,Stage IV,2012,Alive
+P102027,55,Female,Former,42,34,Medium,Asbestos,Low,Yes,Yes,19.2,High,None,Good,South,High,Primary,Average,Regularly,No,None,2021,Alive
+P102028,88,Female,Current,39,14,Medium,Diesel Fumes,High,Yes,No,21.9,Moderate,None,Good,West,Low,Tertiary,Average,Regularly,No,None,2008,Alive
+P102029,43,Female,Current,36,10,High,Silica,High,No,No,24.8,High,None,Average,North,Middle,Tertiary,Average,Occasionally,No,None,2010,Alive
+P102030,72,Female,Former,33,30,Low,None,Moderate,No,No,21.3,Low,Moderate,Good,South,Middle,Primary,Good,Regularly,No,None,2009,Alive
+P102031,69,Male,Current,43,27,Low,Silica,Low,Yes,No,16.7,High,None,Average,South,High,Tertiary,Average,Occasionally,Yes,Stage III,2002,Alive
+P102032,79,Female,Former,33,27,Medium,None,High,No,No,15.0,Moderate,Moderate,Average,West,Middle,Primary,Poor,Regularly,No,None,2018,Alive
+P102033,79,Female,Never,47,31,Low,Diesel Fumes,Moderate,Yes,Yes,30.1,Low,None,Average,West,High,Tertiary,Poor,Never,No,Stage I,2006,Alive
+P102034,42,Female,Never,34,24,Medium,Diesel Fumes,Moderate,Yes,No,26.9,Low,Moderate,Good,West,Low,Primary,Good,Occasionally,Yes,Stage I,2022,Alive
+P102035,87,Male,Former,41,19,High,Asbestos,Moderate,No,No,26.4,Low,High,Average,North,Middle,Primary,Poor,Occasionally,No,None,2004,Deceased
+P102036,71,Male,Never,18,27,High,Asbestos,High,Yes,No,25.8,Moderate,Moderate,Good,West,High,Tertiary,Poor,Never,No,None,2023,Alive
+P102037,81,Female,Current,7,24,Medium,Diesel Fumes,Low,Yes,No,22.3,High,High,Poor,North,High,Tertiary,Average,Never,No,None,2023,Alive
+P102038,69,Female,Current,38,10,High,None,High,Yes,No,29.0,High,None,Average,West,Middle,Tertiary,Poor,Occasionally,No,None,2014,Alive
+P102039,57,Female,Never,32,18,High,None,Moderate,No,No,16.3,Moderate,Moderate,Good,West,Low,Secondary,Average,Never,No,None,2001,Alive
+P102040,41,Female,Former,43,27,Low,Diesel Fumes,High,Yes,No,14.6,Moderate,None,Average,North,High,Secondary,Average,Regularly,No,Stage III,2010,Alive
+P102041,28,Female,Current,27,0,Low,None,High,Yes,Yes,24.0,Low,High,Good,East,Middle,Tertiary,Poor,Regularly,No,None,2005,Alive
+P102042,44,Male,Current,36,4,Low,Diesel Fumes,Moderate,Yes,No,25.6,High,None,Good,South,Low,Tertiary,Poor,Regularly,No,None,2004,Alive
+P102043,71,Male,Current,47,9,Low,Asbestos,Low,Yes,No,20.6,Moderate,None,Poor,West,High,Tertiary,Good,Never,Yes,None,2019,Alive
+P102044,39,Male,Former,24,33,Low,None,Moderate,No,Yes,17.0,Moderate,None,Average,East,Low,Tertiary,Good,Never,Yes,None,2006,Alive
+P102045,71,Female,Current,35,35,Medium,Asbestos,Moderate,Yes,No,28.0,High,High,Good,North,High,Primary,Poor,Never,No,Stage III,2003,Alive
+P102046,33,Male,Former,16,1,Medium,Silica,High,Yes,No,22.9,Low,High,Poor,West,Middle,Secondary,Average,Occasionally,Yes,None,2004,Alive
+P102047,40,Male,Former,23,17,Low,Asbestos,Moderate,No,No,28.5,Low,Moderate,Good,North,Middle,Tertiary,Average,Regularly,Yes,None,2023,Alive
+P102048,85,Male,Never,20,12,High,Silica,High,No,No,31.5,Low,Moderate,Good,North,Middle,Secondary,Good,Occasionally,No,None,2004,Alive
+P102049,34,Female,Never,1,4,High,Asbestos,Moderate,No,No,17.0,High,Moderate,Poor,North,Low,Secondary,Average,Occasionally,No,None,2024,Deceased
+P102050,74,Female,Former,30,19,Medium,Asbestos,Moderate,No,No,26.1,Moderate,Moderate,Average,East,Low,Primary,Good,Occasionally,No,None,2009,Alive
+P102051,27,Male,Never,43,1,Medium,None,Low,No,Yes,26.2,Moderate,None,Poor,North,Middle,Tertiary,Average,Regularly,Yes,None,2017,Alive
+P102052,75,Female,Never,32,10,Medium,Asbestos,Moderate,No,No,28.7,Moderate,High,Average,South,High,Secondary,Poor,Regularly,No,Stage II,2001,Deceased
+P102053,43,Male,Current,29,29,High,Diesel Fumes,Low,Yes,No,22.3,Moderate,High,Good,West,Low,Primary,Poor,Regularly,No,None,2014,Alive
+P102054,66,Male,Never,11,31,Medium,None,Moderate,Yes,No,25.3,High,None,Good,West,Low,Tertiary,Average,Never,No,Stage III,2008,Alive
+P102055,59,Male,Former,43,31,High,None,Moderate,No,No,28.7,Low,Moderate,Poor,South,High,Tertiary,Good,Regularly,No,None,2001,Alive
+P102056,70,Male,Former,11,37,Medium,None,Moderate,Yes,No,27.2,Low,High,Poor,West,High,Secondary,Poor,Never,No,Stage II,2002,Alive
+P102057,50,Female,Current,48,27,High,Asbestos,Low,No,No,32.8,Low,None,Poor,South,Middle,Primary,Good,Never,No,Stage III,2021,Alive
+P102058,88,Female,Former,23,9,Medium,None,High,Yes,No,20.7,Low,None,Good,East,Low,Primary,Poor,Never,No,Stage IV,2019,Alive
+P102059,61,Female,Never,23,21,Medium,Silica,Low,No,No,26.0,Moderate,Moderate,Average,North,High,Primary,Average,Regularly,No,Stage I,2023,Alive
+P102060,73,Female,Former,10,16,High,Silica,Moderate,No,No,24.6,Moderate,Moderate,Poor,East,High,Primary,Poor,Regularly,No,None,2023,Alive
+P102061,45,Male,Current,12,21,Medium,Asbestos,High,Yes,No,24.0,High,High,Average,South,Middle,Tertiary,Average,Regularly,Yes,None,2001,Deceased
+P102062,88,Female,Current,26,18,Low,None,Moderate,No,No,27.9,Low,High,Poor,North,Middle,Secondary,Good,Regularly,No,None,2001,Deceased
+P102063,29,Male,Former,7,16,High,Diesel Fumes,Low,Yes,No,25.6,Moderate,Moderate,Poor,East,Low,Secondary,Poor,Occasionally,No,Stage II,2018,Alive
+P102064,28,Female,Former,9,23,Medium,Diesel Fumes,Low,No,No,19.7,Moderate,High,Poor,North,High,Primary,Good,Regularly,No,None,2013,Alive
+P102065,63,Female,Current,7,35,High,Silica,High,No,Yes,29.8,Moderate,Moderate,Poor,North,Middle,Primary,Good,Regularly,No,Stage III,2017,Alive
+P102066,59,Female,Never,19,31,Medium,Asbestos,Low,Yes,No,28.0,Low,None,Good,East,Low,Primary,Average,Regularly,No,None,2020,Deceased
+P102067,25,Male,Current,7,35,Low,Asbestos,Moderate,No,No,32.4,Moderate,None,Good,West,Middle,Secondary,Good,Regularly,No,None,2000,Alive
+P102068,48,Male,Former,8,27,Medium,Asbestos,High,Yes,No,28.6,Low,None,Poor,South,Low,Tertiary,Poor,Regularly,No,None,2006,Alive
+P102069,81,Male,Never,6,13,Medium,Asbestos,Moderate,Yes,No,23.9,Low,High,Good,East,High,Tertiary,Average,Occasionally,No,None,2007,Alive
+P102070,65,Male,Former,13,35,Low,Asbestos,High,Yes,Yes,24.0,High,Moderate,Good,East,Middle,Primary,Average,Occasionally,No,None,2011,Deceased
+P102071,78,Female,Never,27,5,High,None,High,Yes,No,30.2,High,None,Good,West,Low,Tertiary,Average,Never,No,None,2003,Deceased
+P102072,70,Male,Current,1,8,Medium,None,Moderate,Yes,No,21.2,Low,None,Good,South,Low,Tertiary,Good,Never,No,None,2022,Alive
+P102073,84,Male,Current,42,20,Medium,None,Low,No,No,20.5,Low,High,Average,East,High,Secondary,Poor,Regularly,No,None,2024,Alive
+P102074,84,Female,Never,7,11,Low,Diesel Fumes,Moderate,No,No,26.1,Low,High,Average,North,Middle,Primary,Poor,Never,No,None,2006,Alive
+P102075,81,Female,Current,12,29,High,None,Low,Yes,No,17.5,Moderate,None,Good,South,Low,Tertiary,Poor,Occasionally,No,Stage II,2017,Alive
+P102076,55,Male,Never,20,30,High,Asbestos,Low,No,No,26.7,Moderate,High,Average,West,Low,Primary,Average,Regularly,Yes,None,2017,Alive
+P102077,48,Female,Former,46,39,Low,Asbestos,Moderate,Yes,No,27.3,Moderate,High,Poor,East,Low,Primary,Average,Never,No,None,2009,Alive
+P102078,60,Male,Never,27,3,Low,Diesel Fumes,High,No,No,23.8,High,High,Average,North,Low,Tertiary,Poor,Never,No,Stage III,2009,Alive
+P102079,54,Female,Current,34,30,Medium,Diesel Fumes,Moderate,Yes,Yes,32.0,Low,High,Poor,South,Middle,Secondary,Good,Occasionally,Yes,None,2005,Alive
+P102080,48,Male,Current,22,26,Low,Silica,High,No,No,30.6,Moderate,Moderate,Average,East,Middle,Tertiary,Average,Regularly,No,None,2023,Alive
+P102081,54,Male,Current,45,24,Low,Diesel Fumes,Low,Yes,No,21.1,Moderate,High,Average,South,Low,Secondary,Poor,Never,No,Stage II,2011,Alive
+P102082,31,Male,Current,14,4,Low,Silica,High,No,No,28.3,High,High,Poor,North,Middle,Tertiary,Good,Occasionally,No,None,2009,Alive
+P102083,59,Male,Current,1,5,High,None,Moderate,Yes,No,29.9,High,Moderate,Poor,North,Middle,Primary,Average,Regularly,Yes,None,2012,Alive
+P102084,79,Male,Current,11,4,Low,Asbestos,High,Yes,No,25.4,Low,High,Good,South,High,Secondary,Average,Occasionally,No,None,2011,Alive
+P102085,38,Female,Current,35,26,Medium,Silica,Low,No,No,22.8,Low,High,Average,North,High,Secondary,Average,Regularly,No,None,2018,Alive
+P102086,34,Male,Current,2,7,Medium,Silica,Low,Yes,No,19.5,Moderate,None,Poor,North,Low,Primary,Poor,Regularly,No,None,2000,Alive
+P102087,40,Male,Former,4,8,Medium,Silica,High,Yes,No,22.2,Moderate,None,Good,South,High,Tertiary,Average,Regularly,Yes,None,2000,Alive
+P102088,78,Male,Never,2,14,Low,Diesel Fumes,Low,No,No,19.6,Moderate,None,Poor,South,Middle,Secondary,Average,Occasionally,No,None,2010,Alive
+P102089,68,Male,Former,46,35,High,Diesel Fumes,Low,No,No,29.6,Moderate,Moderate,Good,West,Low,Tertiary,Good,Regularly,No,Stage I,2017,Alive
+P102090,69,Male,Never,18,6,Low,Diesel Fumes,High,Yes,No,23.7,Moderate,High,Good,East,High,Tertiary,Poor,Never,No,None,2021,Alive
+P102091,80,Female,Former,1,31,Low,Silica,Low,Yes,No,27.6,High,Moderate,Poor,West,Low,Tertiary,Good,Regularly,No,None,2001,Deceased
+P102092,81,Female,Former,43,7,Medium,None,High,Yes,No,31.3,Low,Moderate,Poor,West,Low,Primary,Average,Regularly,No,None,2005,Alive
+P102093,45,Male,Current,36,14,Low,Asbestos,High,Yes,No,26.1,High,High,Average,West,High,Tertiary,Poor,Occasionally,No,None,2015,Alive
+P102094,74,Female,Never,16,36,High,Diesel Fumes,Low,No,No,30.9,Low,High,Average,West,Middle,Primary,Poor,Regularly,No,None,2000,Alive
+P102095,57,Male,Never,13,18,Medium,None,High,Yes,No,23.2,Low,None,Good,East,Middle,Secondary,Average,Never,No,None,2008,Alive
+P102096,31,Female,Former,27,38,High,Diesel Fumes,Low,Yes,No,26.9,Low,High,Poor,South,High,Tertiary,Poor,Never,Yes,None,2014,Alive
+P102097,39,Female,Current,26,5,High,Diesel Fumes,Low,No,No,26.0,High,Moderate,Average,North,High,Secondary,Poor,Regularly,No,None,2015,Alive
+P102098,56,Male,Former,9,18,High,Silica,Low,No,No,21.5,Moderate,None,Good,North,High,Tertiary,Good,Occasionally,No,Stage II,2013,Deceased
+P102099,44,Female,Former,2,27,Low,Silica,Moderate,Yes,No,23.5,Low,Moderate,Average,South,High,Secondary,Poor,Never,No,None,2006,Deceased
+P102100,39,Female,Current,35,16,Low,Diesel Fumes,Low,No,No,32.1,Low,High,Good,South,Low,Primary,Poor,Occasionally,No,None,2000,Deceased
+P102101,72,Male,Current,37,18,Low,Asbestos,High,No,No,23.3,High,None,Average,South,Middle,Secondary,Good,Regularly,No,None,2015,Alive
+P102102,45,Male,Never,24,30,Low,Diesel Fumes,High,No,No,16.7,High,High,Poor,North,Middle,Secondary,Average,Occasionally,No,None,2008,Alive
+P102103,66,Female,Former,21,10,Medium,Asbestos,High,Yes,Yes,23.3,Moderate,None,Good,West,High,Tertiary,Good,Regularly,Yes,None,2024,Alive
+P102104,50,Female,Never,47,14,Low,None,Moderate,Yes,No,21.2,Moderate,None,Good,West,Middle,Tertiary,Average,Regularly,No,None,2010,Alive
+P102105,38,Female,Current,38,9,Medium,Diesel Fumes,Moderate,Yes,Yes,27.3,Low,None,Average,West,Middle,Tertiary,Average,Occasionally,No,Stage I,2009,Alive
+P102106,81,Male,Never,46,22,High,Asbestos,High,No,No,28.1,High,High,Average,East,Middle,Tertiary,Average,Never,Yes,None,2010,Alive
+P102107,61,Female,Former,29,2,Medium,None,High,Yes,No,26.8,Moderate,None,Average,West,High,Primary,Good,Regularly,No,None,2005,Alive
+P102108,82,Female,Never,20,2,Low,None,Moderate,Yes,No,23.0,Moderate,None,Poor,East,High,Secondary,Average,Regularly,No,Stage III,2001,Alive
+P102109,45,Female,Never,29,17,Medium,Silica,High,Yes,No,25.3,Moderate,High,Average,North,Middle,Secondary,Good,Regularly,No,None,2017,Alive
+P102110,27,Male,Current,27,24,Low,None,Low,No,Yes,23.4,High,Moderate,Average,East,High,Primary,Good,Never,No,Stage III,2011,Alive
+P102111,61,Male,Never,30,19,Low,Silica,Low,Yes,No,17.8,High,High,Poor,South,Middle,Secondary,Average,Never,No,None,2013,Alive
+P102112,73,Male,Never,25,28,Medium,None,High,Yes,No,24.4,High,High,Average,South,High,Tertiary,Average,Regularly,No,None,2007,Alive
+P102113,43,Male,Former,42,21,Medium,None,Low,Yes,No,38.2,High,None,Poor,North,Middle,Tertiary,Good,Never,No,None,2024,Alive
+P102114,36,Female,Never,21,14,High,Asbestos,High,Yes,Yes,19.9,High,High,Poor,West,High,Tertiary,Good,Occasionally,No,None,2003,Alive
+P102115,85,Male,Never,20,38,High,Asbestos,Moderate,No,No,15.7,Low,High,Average,North,Middle,Secondary,Average,Occasionally,Yes,None,2017,Alive
+P102116,65,Female,Current,0,9,High,Silica,High,Yes,No,32.1,Low,High,Poor,South,High,Primary,Average,Occasionally,No,None,2020,Alive
+P102117,57,Female,Current,36,20,High,Diesel Fumes,Moderate,Yes,No,27.2,High,None,Average,West,High,Primary,Average,Occasionally,No,None,2012,Alive
+P102118,74,Female,Current,12,28,High,Asbestos,Low,No,No,26.5,Low,High,Poor,South,Middle,Secondary,Good,Regularly,No,None,2022,Alive
+P102119,57,Female,Current,20,31,Medium,None,Low,No,No,23.2,High,None,Good,North,Low,Primary,Good,Occasionally,No,None,2013,Alive
+P102120,48,Male,Current,45,9,High,Silica,Low,No,No,26.1,Low,High,Average,West,Middle,Primary,Good,Never,No,None,2019,Alive
+P102121,85,Male,Never,8,12,Medium,Silica,High,No,No,25.3,Low,None,Good,North,Middle,Tertiary,Average,Regularly,No,None,2024,Deceased
+P102122,85,Male,Current,16,22,High,Silica,Moderate,No,No,31.6,Moderate,None,Good,South,Low,Secondary,Poor,Never,No,None,2014,Alive
+P102123,52,Male,Current,46,22,Low,None,Moderate,Yes,No,29.6,High,High,Good,West,High,Primary,Poor,Occasionally,No,None,2019,Alive
+P102124,82,Male,Current,20,30,High,Asbestos,Low,No,Yes,28.0,Low,Moderate,Good,South,Low,Secondary,Poor,Regularly,No,None,2023,Alive
+P102125,67,Female,Former,30,3,Low,Diesel Fumes,Low,No,No,21.6,Low,High,Average,West,Middle,Tertiary,Poor,Regularly,Yes,None,2018,Alive
+P102126,65,Male,Never,38,2,Medium,Silica,Moderate,No,No,26.1,Moderate,Moderate,Poor,East,Low,Tertiary,Poor,Regularly,No,None,2013,Alive
+P102127,63,Male,Current,21,20,High,None,High,Yes,No,21.9,Low,None,Average,East,High,Primary,Good,Occasionally,No,None,2011,Alive
+P102128,73,Male,Current,11,1,Medium,Asbestos,Low,Yes,No,31.1,Moderate,Moderate,Average,South,Middle,Secondary,Average,Never,No,Stage III,2021,Alive
+P102129,41,Male,Current,5,3,High,Asbestos,High,Yes,No,21.4,Low,Moderate,Poor,North,Middle,Secondary,Average,Regularly,No,None,2014,Alive
+P102130,89,Female,Never,15,0,Medium,Diesel Fumes,Low,No,No,24.3,Moderate,None,Good,East,High,Tertiary,Average,Never,No,Stage II,2005,Alive
+P102131,29,Female,Never,25,14,High,Silica,Low,Yes,No,19.6,Moderate,Moderate,Poor,East,High,Tertiary,Average,Occasionally,No,None,2018,Alive
+P102132,26,Female,Never,4,32,High,None,High,No,No,22.5,High,High,Good,West,Middle,Tertiary,Average,Occasionally,No,None,2001,Alive
+P102133,46,Female,Current,8,5,Low,Asbestos,High,No,No,22.5,High,Moderate,Average,West,High,Primary,Poor,Never,No,None,2005,Alive
+P102134,81,Female,Never,45,6,Medium,None,High,Yes,No,24.2,Low,None,Poor,West,Low,Secondary,Average,Regularly,No,None,2022,Alive
+P102135,40,Male,Never,39,18,Medium,Asbestos,High,Yes,No,20.5,High,Moderate,Poor,South,Low,Primary,Average,Never,No,None,2022,Alive
+P102136,75,Female,Current,13,0,Medium,Silica,Moderate,Yes,No,31.1,High,None,Good,North,Low,Secondary,Poor,Regularly,No,Stage IV,2010,Alive
+P102137,63,Female,Never,43,38,Medium,Silica,Moderate,No,No,24.1,High,None,Poor,North,Low,Tertiary,Average,Regularly,No,None,2000,Alive
+P102138,64,Female,Current,41,18,Medium,Diesel Fumes,Low,Yes,No,22.3,Low,High,Average,West,High,Primary,Poor,Never,Yes,None,2021,Alive
+P102139,62,Male,Former,29,25,Low,Asbestos,Low,Yes,No,28.8,Low,None,Poor,South,Low,Primary,Poor,Regularly,No,None,2008,Alive
+P102140,84,Male,Current,25,11,High,None,Low,Yes,No,35.8,High,Moderate,Poor,West,Low,Primary,Good,Regularly,No,None,2012,Alive
+P102141,83,Female,Former,44,21,Low,Asbestos,Moderate,Yes,No,23.0,High,High,Average,North,Middle,Tertiary,Average,Regularly,No,None,2008,Alive
+P102142,34,Male,Current,28,12,Medium,None,High,Yes,No,23.8,Low,High,Good,South,High,Primary,Average,Occasionally,Yes,None,2014,Alive
+P102143,88,Male,Current,18,27,Medium,Diesel Fumes,Low,No,No,21.3,High,Moderate,Poor,West,High,Primary,Average,Regularly,No,None,2017,Deceased
+P102144,87,Female,Never,46,13,High,Asbestos,Moderate,No,No,28.3,Moderate,Moderate,Good,West,High,Tertiary,Poor,Never,No,None,2003,Alive
+P102145,73,Male,Never,7,21,Low,Silica,Low,Yes,No,29.8,Low,High,Poor,North,Middle,Secondary,Good,Occasionally,No,None,2021,Alive
+P102146,88,Male,Never,22,29,High,None,Moderate,No,No,24.8,Low,None,Average,South,Middle,Primary,Average,Regularly,No,None,2003,Alive
+P102147,56,Male,Current,41,19,High,Silica,High,No,No,22.8,Moderate,High,Good,North,High,Tertiary,Poor,Occasionally,No,None,2011,Alive
+P102148,31,Female,Current,34,26,Low,Diesel Fumes,Moderate,No,No,27.7,High,High,Poor,South,Low,Primary,Poor,Never,No,None,2008,Alive
+P102149,45,Female,Former,30,37,High,Diesel Fumes,High,Yes,No,28.7,Moderate,High,Good,South,Middle,Primary,Poor,Occasionally,No,None,2017,Alive
+P102150,44,Female,Current,34,33,Low,None,Low,No,No,32.8,High,None,Poor,West,Middle,Secondary,Poor,Occasionally,No,None,2005,Alive
+P102151,50,Male,Never,31,38,Low,Asbestos,High,Yes,No,22.1,High,Moderate,Average,North,Middle,Tertiary,Good,Regularly,No,None,2016,Alive
+P102152,39,Female,Current,4,36,Medium,Silica,Moderate,No,No,29.3,Low,Moderate,Average,South,High,Secondary,Good,Never,No,None,2024,Alive
+P102153,38,Male,Current,15,0,High,Silica,Low,Yes,No,25.5,Low,Moderate,Poor,East,Low,Secondary,Poor,Never,No,None,2016,Alive
+P102154,51,Male,Never,16,14,Medium,None,Low,No,No,16.3,High,None,Poor,West,Middle,Tertiary,Average,Occasionally,No,None,2012,Alive
+P102155,64,Male,Former,31,31,High,None,Moderate,No,No,32.6,Moderate,None,Good,North,Middle,Secondary,Good,Regularly,No,None,2011,Deceased
+P102156,82,Female,Never,37,7,High,None,High,Yes,No,26.5,Low,Moderate,Poor,South,High,Primary,Average,Occasionally,No,None,2013,Alive
+P102157,52,Female,Former,31,32,Medium,Diesel Fumes,Moderate,Yes,No,28.0,High,Moderate,Good,West,Low,Tertiary,Average,Occasionally,No,Stage IV,2007,Alive
+P102158,50,Female,Former,19,17,Medium,Diesel Fumes,High,No,No,29.7,Low,Moderate,Poor,North,Middle,Tertiary,Good,Occasionally,No,Stage IV,2014,Alive
+P102159,87,Female,Never,47,28,Medium,Silica,High,Yes,No,28.0,Low,Moderate,Average,North,High,Primary,Average,Regularly,No,None,2008,Alive
+P102160,49,Male,Former,1,31,Low,Asbestos,Low,Yes,No,20.2,Low,None,Good,West,High,Primary,Good,Occasionally,No,None,2000,Deceased
+P102161,27,Female,Former,19,32,High,None,High,Yes,No,28.4,Moderate,Moderate,Good,South,Middle,Primary,Good,Regularly,No,None,2016,Alive
+P102162,68,Male,Former,46,4,Low,Diesel Fumes,Low,Yes,No,27.5,Moderate,High,Average,West,High,Secondary,Average,Never,Yes,None,2009,Alive
+P102163,66,Female,Former,17,17,High,Asbestos,Moderate,No,No,16.7,High,Moderate,Good,East,High,Secondary,Average,Occasionally,Yes,None,2022,Alive
+P102164,30,Female,Never,0,9,High,None,Moderate,Yes,No,33.3,Moderate,None,Average,West,Middle,Secondary,Poor,Never,No,None,2004,Alive
+P102165,63,Female,Current,28,35,Low,Asbestos,Low,No,No,23.1,High,High,Average,North,High,Secondary,Good,Occasionally,No,None,2010,Alive
+P102166,76,Male,Current,28,32,Low,None,Low,No,No,30.0,High,High,Average,East,Low,Secondary,Average,Never,No,Stage II,2002,Alive
+P102167,47,Male,Former,18,22,High,Asbestos,High,Yes,No,23.3,Low,High,Poor,East,Low,Secondary,Good,Regularly,No,Stage III,2024,Alive
+P102168,74,Male,Never,43,39,Medium,Silica,Low,Yes,No,22.3,Low,None,Average,South,Middle,Tertiary,Poor,Occasionally,No,None,2001,Deceased
+P102169,67,Male,Current,39,4,Medium,None,Moderate,Yes,No,24.6,Moderate,Moderate,Good,West,Low,Tertiary,Poor,Occasionally,No,None,2021,Alive
+P102170,43,Male,Current,5,33,Medium,None,Low,Yes,No,35.6,High,None,Poor,South,Low,Tertiary,Poor,Regularly,No,None,2003,Alive
+P102171,75,Female,Never,43,23,Medium,Silica,Low,No,No,35.1,High,None,Average,West,Middle,Tertiary,Poor,Never,No,Stage II,2020,Deceased
+P102172,35,Male,Former,38,16,High,None,Low,No,No,22.3,Low,High,Average,North,High,Tertiary,Poor,Never,Yes,None,2001,Alive
+P102173,36,Male,Never,49,30,Medium,None,High,Yes,No,31.2,Low,High,Average,South,Low,Tertiary,Poor,Regularly,No,None,2000,Deceased
+P102174,32,Male,Former,45,6,Medium,Diesel Fumes,Low,No,No,25.1,Low,None,Good,North,High,Secondary,Poor,Never,No,None,2008,Alive
+P102175,48,Male,Never,7,16,Medium,Silica,High,Yes,No,35.1,Moderate,High,Poor,North,Middle,Tertiary,Poor,Regularly,Yes,None,2002,Alive
+P102176,65,Female,Former,23,27,High,Diesel Fumes,High,No,No,30.8,High,None,Poor,East,Low,Primary,Good,Never,Yes,None,2005,Alive
+P102177,60,Male,Current,19,37,Low,Silica,Low,No,Yes,26.4,High,High,Poor,South,Middle,Tertiary,Average,Regularly,No,Stage IV,2013,Alive
+P102178,79,Female,Former,13,21,Medium,Asbestos,High,No,No,25.4,High,Moderate,Good,West,High,Primary,Good,Regularly,Yes,None,2024,Deceased
+P102179,33,Female,Former,4,14,High,Silica,Low,Yes,No,28.0,Low,Moderate,Average,South,Middle,Primary,Good,Regularly,No,None,2000,Alive
+P102180,71,Female,Former,40,36,High,Silica,Moderate,Yes,Yes,27.4,Moderate,Moderate,Poor,North,Low,Tertiary,Average,Regularly,No,None,2011,Alive
+P102181,39,Male,Former,39,14,Medium,Diesel Fumes,Moderate,No,No,19.5,Moderate,High,Average,East,Middle,Secondary,Average,Never,No,None,2020,Alive
+P102182,72,Female,Never,33,24,Low,None,High,Yes,No,26.0,Low,High,Good,South,Middle,Secondary,Poor,Occasionally,No,Stage III,2015,Alive
+P102183,66,Male,Never,15,20,Low,Silica,Moderate,Yes,No,21.7,Moderate,Moderate,Poor,East,Middle,Primary,Average,Never,Yes,None,2019,Alive
+P102184,84,Male,Current,44,37,Low,None,Low,No,Yes,22.4,Moderate,None,Good,East,High,Secondary,Good,Regularly,No,Stage IV,2018,Alive
+P102185,36,Male,Never,6,1,High,Silica,High,Yes,Yes,30.6,High,None,Poor,North,High,Primary,Poor,Occasionally,No,None,2017,Alive
+P102186,26,Male,Current,15,26,Medium,Diesel Fumes,Low,Yes,No,26.0,Low,Moderate,Poor,South,High,Secondary,Good,Occasionally,No,Stage IV,2013,Alive
+P102187,31,Male,Current,6,31,Medium,Silica,High,No,Yes,22.7,Low,High,Average,South,High,Secondary,Average,Never,No,None,2002,Deceased
+P102188,27,Female,Never,26,20,High,Asbestos,High,No,No,18.9,Low,None,Good,South,Low,Secondary,Good,Regularly,No,None,2013,Alive
+P102189,27,Female,Former,13,3,Medium,Silica,High,No,Yes,21.1,Low,None,Poor,East,High,Secondary,Good,Regularly,No,None,2016,Alive
+P102190,51,Male,Former,13,18,Medium,Silica,High,No,No,24.7,High,None,Poor,West,High,Tertiary,Poor,Regularly,Yes,None,2012,Alive
+P102191,64,Female,Current,43,1,Low,None,Moderate,Yes,No,33.4,Moderate,High,Good,South,Low,Tertiary,Poor,Regularly,No,None,2000,Alive
+P102192,57,Male,Current,32,25,Medium,None,Moderate,Yes,No,19.8,Moderate,None,Average,North,High,Tertiary,Good,Regularly,No,None,2007,Deceased
+P102193,25,Female,Current,32,33,Medium,Asbestos,Moderate,No,No,26.5,High,None,Good,East,Middle,Primary,Average,Occasionally,No,None,2020,Alive
+P102194,32,Female,Never,43,13,High,Silica,High,No,No,27.0,Moderate,Moderate,Poor,West,High,Tertiary,Poor,Never,Yes,Stage IV,2001,Alive
+P102195,56,Female,Current,19,14,High,None,Moderate,Yes,Yes,31.1,Low,High,Good,South,Low,Tertiary,Good,Never,No,None,2018,Deceased
+P102196,72,Female,Former,46,19,Low,Silica,High,Yes,No,25.6,High,Moderate,Average,West,Middle,Tertiary,Poor,Never,No,Stage III,2014,Alive
+P102197,28,Female,Former,35,33,High,Diesel Fumes,Moderate,Yes,No,27.0,High,None,Average,East,Low,Secondary,Poor,Occasionally,No,None,2013,Alive
+P102198,43,Male,Never,6,35,Low,Diesel Fumes,High,No,No,30.9,Low,High,Average,West,Middle,Secondary,Average,Occasionally,No,None,2013,Alive
+P102199,56,Male,Never,31,18,Low,Asbestos,Moderate,No,No,21.1,Low,High,Average,East,Middle,Secondary,Good,Never,No,None,2017,Alive
+P102200,33,Female,Current,47,8,Medium,Diesel Fumes,Moderate,No,No,29.0,Low,Moderate,Average,West,Middle,Secondary,Good,Occasionally,Yes,None,2014,Alive
+P102201,36,Male,Former,2,6,Low,None,Moderate,No,No,18.0,Moderate,Moderate,Average,West,Low,Secondary,Good,Occasionally,No,None,2009,Alive
+P102202,35,Female,Former,38,29,Medium,None,High,Yes,No,25.3,Low,High,Average,East,Middle,Tertiary,Good,Never,No,Stage II,2017,Alive
+P102203,70,Male,Former,28,12,Low,Asbestos,High,No,No,23.8,High,High,Poor,West,Middle,Tertiary,Good,Occasionally,No,None,2019,Alive
+P102204,40,Female,Current,23,26,High,Silica,Moderate,No,No,21.4,Moderate,Moderate,Good,North,Middle,Secondary,Poor,Regularly,Yes,None,2003,Deceased
+P102205,25,Female,Current,21,34,High,None,High,Yes,No,29.9,Moderate,None,Average,South,Middle,Secondary,Poor,Never,No,None,2006,Alive
+P102206,87,Female,Never,5,12,High,Diesel Fumes,Low,No,No,30.1,High,High,Good,West,Middle,Tertiary,Poor,Never,Yes,None,2001,Alive
+P102207,45,Male,Never,47,14,Low,None,Moderate,Yes,Yes,30.3,Moderate,None,Good,West,High,Tertiary,Poor,Never,No,None,2008,Deceased
+P102208,54,Male,Never,23,8,Low,Asbestos,Moderate,No,No,26.9,Low,Moderate,Poor,West,Low,Secondary,Average,Never,No,None,2022,Alive
+P102209,37,Female,Current,39,22,Medium,Diesel Fumes,Low,Yes,No,18.8,Low,High,Good,South,Middle,Primary,Average,Occasionally,No,Stage I,2003,Alive
+P102210,58,Female,Former,22,35,Medium,Diesel Fumes,High,Yes,No,23.4,Low,Moderate,Good,East,Middle,Secondary,Good,Never,No,Stage I,2011,Alive
+P102211,28,Male,Former,37,39,Medium,Diesel Fumes,High,Yes,No,30.0,Low,High,Average,South,Middle,Tertiary,Average,Regularly,No,None,2022,Alive
+P102212,52,Male,Former,9,2,Medium,Asbestos,High,No,No,30.0,Moderate,High,Average,West,Middle,Primary,Poor,Occasionally,No,Stage IV,2009,Alive
+P102213,83,Male,Former,15,33,Low,Asbestos,Moderate,No,No,31.0,High,Moderate,Good,East,Middle,Secondary,Poor,Occasionally,No,Stage I,2010,Alive
+P102214,51,Male,Current,10,18,Low,Silica,Moderate,No,No,26.6,Moderate,Moderate,Average,West,High,Tertiary,Poor,Never,No,None,2000,Deceased
+P102215,49,Male,Former,31,27,Medium,Silica,Moderate,No,No,24.1,High,None,Poor,East,High,Tertiary,Poor,Occasionally,No,None,2012,Deceased
+P102216,27,Female,Never,44,22,Low,Silica,Moderate,No,No,15.2,High,Moderate,Good,West,Middle,Tertiary,Poor,Occasionally,Yes,None,2006,Alive
+P102217,49,Male,Never,5,39,Low,Asbestos,Moderate,No,Yes,29.3,Low,Moderate,Good,West,Middle,Secondary,Good,Occasionally,No,None,2005,Alive
+P102218,44,Female,Former,23,6,Low,Diesel Fumes,High,Yes,No,24.5,Moderate,None,Poor,East,Middle,Secondary,Good,Never,No,None,2008,Alive
+P102219,58,Female,Current,32,11,Low,Diesel Fumes,Low,No,No,18.7,Low,Moderate,Poor,North,Low,Primary,Poor,Regularly,Yes,None,2023,Alive
+P102220,50,Male,Former,11,13,Medium,None,High,No,No,28.8,Moderate,None,Poor,South,Low,Tertiary,Good,Never,Yes,None,2017,Alive
+P102221,29,Male,Current,26,14,Medium,Silica,High,Yes,No,32.1,Moderate,None,Poor,East,High,Tertiary,Average,Regularly,No,Stage IV,2002,Deceased
+P102222,85,Female,Current,37,2,Low,Diesel Fumes,Moderate,Yes,No,29.3,Low,Moderate,Good,South,High,Primary,Average,Occasionally,No,None,2012,Alive
+P102223,33,Male,Never,17,14,High,Diesel Fumes,Low,No,No,28.4,Moderate,None,Average,North,Low,Secondary,Poor,Regularly,No,None,2002,Alive
+P102224,74,Female,Never,44,23,Medium,Diesel Fumes,Low,Yes,No,29.7,Low,None,Average,North,Middle,Tertiary,Good,Never,No,None,2012,Alive
+P102225,30,Male,Never,38,7,Medium,Diesel Fumes,High,No,No,11.3,High,None,Average,East,High,Primary,Poor,Never,No,None,2005,Alive
+P102226,84,Male,Current,12,4,High,Asbestos,Low,Yes,No,33.6,Low,Moderate,Average,North,Middle,Tertiary,Good,Never,No,None,2017,Alive
+P102227,68,Male,Never,39,3,Medium,Silica,High,No,No,21.0,Moderate,Moderate,Poor,North,Middle,Secondary,Poor,Occasionally,Yes,None,2001,Deceased
+P102228,35,Female,Former,29,13,High,Diesel Fumes,High,Yes,No,21.5,Moderate,None,Average,West,High,Secondary,Poor,Regularly,No,None,2019,Alive
+P102229,71,Male,Former,48,15,High,Diesel Fumes,High,Yes,No,22.6,High,Moderate,Average,West,Low,Primary,Poor,Never,No,None,2016,Alive
+P102230,27,Female,Current,40,19,Low,Diesel Fumes,High,No,No,23.2,High,High,Good,North,Low,Primary,Average,Never,No,None,2000,Alive
+P102231,54,Male,Never,12,23,Medium,Diesel Fumes,Moderate,No,Yes,32.5,High,None,Good,West,Low,Tertiary,Good,Never,No,None,2016,Alive
+P102232,45,Female,Former,33,5,High,None,Low,Yes,No,27.7,Low,High,Average,North,Middle,Secondary,Good,Occasionally,Yes,None,2004,Alive
+P102233,52,Male,Former,35,30,Low,Diesel Fumes,Moderate,Yes,No,21.6,Low,Moderate,Poor,West,Middle,Secondary,Average,Never,No,None,2008,Deceased
+P102234,86,Female,Former,29,5,Medium,Diesel Fumes,Moderate,Yes,No,22.4,Moderate,High,Average,North,Middle,Primary,Average,Occasionally,No,None,2003,Alive
+P102235,57,Female,Current,24,34,Low,Diesel Fumes,Moderate,Yes,No,37.5,High,Moderate,Poor,North,Low,Primary,Good,Occasionally,No,None,2013,Deceased
+P102236,59,Female,Never,1,14,Low,None,High,No,No,26.8,High,Moderate,Good,South,Middle,Tertiary,Good,Never,No,None,2007,Alive
+P102237,76,Female,Current,35,28,High,Asbestos,High,Yes,No,22.8,Low,None,Poor,North,High,Secondary,Poor,Occasionally,No,None,2022,Deceased
+P102238,58,Female,Current,17,2,Medium,None,Moderate,Yes,No,16.9,Moderate,High,Average,South,Middle,Tertiary,Poor,Occasionally,No,None,2012,Deceased
+P102239,65,Female,Former,4,10,Low,Diesel Fumes,Moderate,No,No,16.6,High,None,Good,East,High,Tertiary,Good,Never,No,Stage I,2005,Alive
+P102240,75,Male,Current,18,2,High,Asbestos,Low,No,No,19.4,Low,High,Average,North,Low,Primary,Good,Never,No,None,2013,Alive
+P102241,71,Female,Former,41,27,High,Diesel Fumes,Moderate,No,No,25.5,Low,Moderate,Average,North,Middle,Secondary,Poor,Regularly,No,Stage IV,2008,Deceased
+P102242,82,Female,Never,17,9,Low,Asbestos,High,No,No,30.5,High,Moderate,Poor,South,Middle,Primary,Average,Never,No,None,2016,Alive
+P102243,81,Female,Current,31,32,Low,Diesel Fumes,Moderate,No,No,28.1,High,None,Average,North,Low,Tertiary,Good,Regularly,No,None,2006,Alive
+P102244,47,Male,Former,20,15,High,Diesel Fumes,Low,No,No,30.9,Moderate,High,Average,West,Middle,Tertiary,Good,Regularly,No,Stage I,2008,Alive
+P102245,72,Male,Current,9,9,Low,Asbestos,Low,Yes,Yes,27.8,High,High,Good,South,High,Secondary,Average,Regularly,No,Stage IV,2014,Alive
+P102246,46,Male,Former,36,32,Low,Asbestos,Moderate,Yes,Yes,18.9,Low,Moderate,Poor,South,Low,Secondary,Average,Never,No,None,2009,Alive
+P102247,41,Female,Current,48,35,Medium,Diesel Fumes,Low,Yes,No,27.1,High,None,Poor,West,High,Secondary,Average,Regularly,No,None,2013,Alive
+P102248,35,Male,Former,21,2,High,None,Low,No,No,27.3,High,Moderate,Good,North,Low,Secondary,Good,Regularly,No,None,2015,Deceased
+P102249,39,Male,Never,12,4,Low,None,High,No,No,24.4,Moderate,Moderate,Good,East,High,Primary,Good,Regularly,No,None,2001,Alive
+P102250,59,Female,Former,16,11,High,None,Low,Yes,No,23.5,Low,None,Poor,East,High,Primary,Good,Never,No,Stage IV,2003,Alive
+P102251,57,Female,Current,8,12,Medium,None,Low,Yes,No,24.3,High,High,Good,East,High,Primary,Poor,Never,No,None,2020,Alive
+P102252,40,Male,Current,23,23,High,Asbestos,Moderate,No,No,17.3,Low,High,Poor,South,Middle,Primary,Average,Never,No,None,2014,Alive
+P102253,58,Female,Former,43,31,High,Asbestos,High,No,No,18.3,Moderate,Moderate,Good,South,Middle,Tertiary,Average,Never,Yes,None,2010,Alive
+P102254,64,Female,Current,13,15,High,None,Low,Yes,Yes,37.7,Low,High,Poor,West,Middle,Primary,Poor,Occasionally,No,None,2020,Alive
+P102255,52,Female,Never,45,31,Medium,Silica,Moderate,Yes,No,18.7,High,None,Poor,North,Middle,Primary,Poor,Never,No,None,2010,Alive
+P102256,71,Female,Former,7,36,Medium,Silica,Moderate,Yes,No,16.2,High,High,Good,West,Middle,Secondary,Poor,Regularly,No,None,2022,Alive
+P102257,63,Male,Current,36,35,High,Silica,Moderate,Yes,No,21.4,Moderate,High,Average,South,High,Tertiary,Poor,Never,No,None,2023,Alive
+P102258,44,Female,Current,18,20,High,Diesel Fumes,Moderate,Yes,No,27.3,Moderate,Moderate,Average,East,Middle,Primary,Average,Occasionally,No,Stage IV,2012,Deceased
+P102259,25,Male,Current,27,11,Medium,None,Moderate,No,No,27.8,Moderate,High,Good,North,High,Tertiary,Poor,Occasionally,No,None,2015,Deceased
+P102260,87,Male,Current,45,20,Low,Diesel Fumes,Moderate,Yes,No,19.9,Low,None,Poor,East,Low,Tertiary,Poor,Occasionally,Yes,Stage II,2008,Alive
+P102261,28,Male,Never,40,20,Medium,Asbestos,Low,Yes,No,25.5,Low,Moderate,Good,North,High,Tertiary,Average,Never,No,None,2020,Alive
+P102262,82,Male,Current,29,5,High,Asbestos,High,No,No,22.3,Low,None,Average,East,Middle,Tertiary,Average,Occasionally,No,Stage I,2001,Alive
+P102263,49,Female,Former,6,8,Low,Silica,High,Yes,Yes,26.0,Low,High,Poor,North,Low,Secondary,Average,Occasionally,No,None,2001,Alive
+P102264,71,Female,Never,25,0,Low,Silica,Moderate,No,No,23.5,Moderate,High,Poor,East,Middle,Secondary,Average,Occasionally,No,Stage IV,2004,Alive
+P102265,62,Female,Never,39,11,Low,Asbestos,Moderate,No,Yes,21.5,Low,Moderate,Poor,West,Low,Tertiary,Good,Never,No,None,2004,Alive
+P102266,39,Male,Former,45,13,Medium,Silica,High,Yes,No,21.8,Low,None,Average,South,High,Tertiary,Good,Occasionally,Yes,None,2004,Alive
+P102267,87,Male,Never,45,5,Medium,Silica,Low,Yes,No,14.0,Low,High,Average,West,Low,Tertiary,Good,Occasionally,No,None,2013,Alive
+P102268,45,Male,Former,10,0,Medium,Asbestos,Moderate,No,No,23.9,Low,High,Poor,East,Middle,Secondary,Good,Regularly,No,Stage III,2005,Alive
+P102269,81,Female,Never,13,21,Medium,Diesel Fumes,High,No,No,24.6,Moderate,Moderate,Poor,North,Low,Secondary,Average,Regularly,No,None,2015,Alive
+P102270,77,Male,Never,20,33,High,Silica,High,No,No,18.0,Moderate,High,Average,West,High,Tertiary,Good,Regularly,Yes,None,2015,Alive
+P102271,70,Female,Former,7,10,Low,Diesel Fumes,Moderate,Yes,No,23.3,High,High,Average,East,Low,Tertiary,Poor,Occasionally,No,None,2007,Alive
+P102272,38,Female,Former,2,2,High,Silica,High,Yes,No,23.7,High,High,Poor,South,High,Tertiary,Poor,Regularly,No,None,2004,Alive
+P102273,41,Female,Former,27,5,Medium,None,Low,Yes,No,15.7,Low,None,Good,North,Low,Tertiary,Poor,Never,No,Stage I,2012,Deceased
+P102274,63,Female,Current,28,5,Medium,Diesel Fumes,High,Yes,Yes,21.1,Low,None,Good,West,High,Secondary,Good,Regularly,No,None,2002,Deceased
+P102275,33,Male,Current,22,19,High,Diesel Fumes,Moderate,Yes,No,21.0,Moderate,None,Good,South,High,Primary,Good,Never,No,None,2008,Alive
+P102276,30,Female,Current,17,20,Low,Silica,Moderate,No,No,25.9,High,High,Average,East,High,Primary,Poor,Regularly,No,None,2003,Alive
+P102277,47,Male,Former,34,1,Low,Diesel Fumes,High,Yes,Yes,31.2,Low,Moderate,Good,North,High,Secondary,Good,Regularly,No,None,2007,Alive
+P102278,83,Female,Current,12,25,Medium,None,High,Yes,Yes,25.2,High,Moderate,Good,East,Middle,Secondary,Average,Regularly,No,Stage III,2015,Deceased
+P102279,70,Male,Never,11,30,Medium,Asbestos,Moderate,No,No,30.8,High,Moderate,Average,North,High,Primary,Good,Never,No,None,2024,Deceased
+P102280,62,Male,Never,46,25,Medium,None,Low,Yes,No,23.9,High,None,Good,South,Middle,Primary,Poor,Never,No,None,2010,Alive
+P102281,38,Female,Former,49,31,Medium,Asbestos,High,Yes,No,26.9,Moderate,None,Poor,South,High,Primary,Poor,Regularly,No,None,2022,Alive
+P102282,86,Female,Current,4,9,Low,None,Low,Yes,No,25.3,Low,None,Average,South,Low,Tertiary,Good,Never,No,None,2018,Alive
+P102283,59,Female,Never,38,22,High,None,Low,No,No,37.1,Low,None,Poor,West,Low,Primary,Good,Regularly,No,Stage I,2009,Alive
+P102284,43,Male,Never,10,5,Low,Diesel Fumes,Moderate,No,No,24.2,Moderate,High,Good,West,Middle,Primary,Poor,Occasionally,No,None,2021,Alive
+P102285,54,Female,Never,10,22,High,None,Moderate,Yes,No,28.9,Moderate,Moderate,Poor,West,Low,Tertiary,Poor,Occasionally,No,None,2006,Alive
+P102286,49,Female,Current,46,27,Medium,Silica,Moderate,Yes,No,26.0,Moderate,Moderate,Average,East,High,Tertiary,Good,Occasionally,No,None,2011,Alive
+P102287,64,Male,Current,41,29,Medium,Silica,Low,Yes,No,30.6,High,None,Good,West,Low,Secondary,Good,Never,No,None,2022,Alive
+P102288,38,Female,Never,46,13,High,Silica,Moderate,No,No,28.2,High,Moderate,Average,North,Middle,Tertiary,Poor,Occasionally,No,None,2007,Alive
+P102289,50,Male,Former,30,36,Medium,Silica,Moderate,No,No,26.7,Low,Moderate,Good,South,Low,Primary,Poor,Regularly,No,None,2009,Alive
+P102290,46,Female,Former,30,31,Low,Diesel Fumes,Low,Yes,No,19.3,Low,None,Average,East,Middle,Tertiary,Poor,Regularly,Yes,None,2004,Alive
+P102291,72,Male,Current,12,33,Medium,Silica,Low,Yes,No,19.7,High,None,Average,East,High,Secondary,Poor,Never,Yes,None,2004,Alive
+P102292,75,Male,Never,13,21,Medium,None,Low,Yes,No,21.9,High,None,Poor,West,High,Primary,Poor,Regularly,Yes,None,2012,Alive
+P102293,27,Female,Current,48,30,Medium,Silica,Low,Yes,No,23.5,Moderate,None,Average,North,Low,Secondary,Poor,Occasionally,No,None,2001,Alive
+P102294,66,Male,Former,44,6,Medium,Diesel Fumes,High,No,No,25.6,High,High,Average,South,Low,Secondary,Poor,Regularly,No,None,2011,Alive
+P102295,43,Female,Current,41,20,Low,Asbestos,Moderate,No,No,21.9,Low,Moderate,Poor,East,Low,Secondary,Good,Never,No,Stage III,2010,Alive
+P102296,52,Female,Never,24,15,High,None,High,Yes,No,15.1,Low,High,Good,South,High,Tertiary,Average,Regularly,No,None,2001,Alive
+P102297,69,Male,Former,32,19,Medium,None,Low,No,No,30.1,Moderate,Moderate,Good,North,Low,Tertiary,Average,Regularly,No,None,2014,Alive
+P102298,87,Female,Former,32,18,Medium,Diesel Fumes,Low,No,Yes,27.2,Moderate,High,Average,South,High,Secondary,Good,Occasionally,Yes,None,2019,Alive
+P102299,43,Male,Former,14,31,Low,Asbestos,Low,Yes,No,25.3,Low,None,Poor,West,Middle,Secondary,Average,Never,No,None,2006,Deceased
+P102300,71,Male,Never,15,14,Low,Silica,Low,Yes,No,31.3,High,High,Good,South,Low,Secondary,Good,Occasionally,No,None,2007,Alive
+P102301,38,Male,Current,43,4,Low,Asbestos,Low,Yes,No,21.0,High,None,Poor,East,Low,Secondary,Good,Regularly,No,None,2002,Alive
+P102302,62,Male,Never,37,10,Medium,None,Moderate,Yes,No,24.3,Low,None,Average,West,Middle,Tertiary,Good,Never,Yes,None,2016,Alive
+P102303,77,Male,Current,5,14,High,None,High,No,No,25.8,High,High,Poor,West,Middle,Tertiary,Good,Regularly,No,None,2019,Alive
+P102304,85,Male,Current,43,28,Low,None,High,Yes,No,22.9,High,Moderate,Average,West,Middle,Secondary,Average,Regularly,Yes,None,2005,Alive
+P102305,60,Male,Former,24,3,Low,Asbestos,Moderate,Yes,No,21.0,Low,High,Good,West,Middle,Tertiary,Good,Occasionally,Yes,None,2021,Alive
+P102306,64,Male,Current,14,35,Low,Silica,Moderate,Yes,No,29.4,Low,None,Good,East,High,Primary,Poor,Regularly,No,None,2024,Alive
+P102307,54,Female,Current,3,22,High,None,Moderate,Yes,No,26.4,Moderate,None,Good,North,Low,Tertiary,Good,Never,No,None,2014,Alive
+P102308,33,Female,Former,3,14,Medium,Diesel Fumes,High,No,No,28.1,Low,Moderate,Good,North,High,Secondary,Average,Never,No,None,2012,Alive
+P102309,88,Male,Current,29,2,Medium,Silica,High,Yes,No,20.9,Moderate,Moderate,Poor,West,High,Tertiary,Average,Occasionally,No,None,2022,Alive
+P102310,57,Female,Never,33,31,Medium,None,Low,Yes,No,29.1,Moderate,Moderate,Poor,North,Middle,Primary,Average,Occasionally,No,None,2012,Alive
+P102311,76,Female,Former,26,9,Low,Silica,High,No,No,21.9,High,None,Poor,East,Low,Primary,Average,Never,No,None,2011,Alive
+P102312,38,Female,Current,30,39,Medium,Diesel Fumes,High,Yes,No,26.2,Low,High,Average,North,High,Tertiary,Poor,Occasionally,No,None,2013,Alive
+P102313,77,Female,Former,31,37,Low,Asbestos,Moderate,Yes,No,34.9,High,Moderate,Good,North,High,Primary,Good,Regularly,No,None,2008,Alive
+P102314,83,Female,Former,43,21,High,None,High,Yes,No,29.3,Low,None,Good,East,Middle,Primary,Poor,Never,Yes,None,2009,Alive
+P102315,65,Female,Former,38,13,High,Diesel Fumes,Low,No,Yes,26.7,Low,High,Good,North,Low,Tertiary,Good,Occasionally,No,None,2004,Alive
+P102316,32,Male,Current,8,16,Medium,None,High,Yes,Yes,31.8,High,Moderate,Poor,West,Low,Tertiary,Good,Never,No,Stage IV,2020,Alive
+P102317,26,Female,Current,40,20,Low,None,Moderate,Yes,No,22.2,Moderate,High,Poor,West,Low,Tertiary,Poor,Regularly,Yes,Stage IV,2004,Alive
+P102318,65,Female,Former,7,14,Low,Asbestos,Moderate,Yes,No,27.5,Low,High,Good,East,High,Secondary,Poor,Occasionally,No,Stage IV,2020,Alive
+P102319,79,Female,Current,13,14,Medium,Asbestos,Low,No,No,20.8,Moderate,None,Average,West,Middle,Secondary,Average,Never,Yes,None,2019,Alive
+P102320,40,Female,Current,32,0,High,Silica,Low,Yes,No,23.2,High,None,Poor,West,Low,Primary,Good,Regularly,No,None,2005,Deceased
+P102321,86,Male,Never,22,23,High,Diesel Fumes,High,Yes,No,33.0,High,None,Good,West,High,Primary,Good,Occasionally,No,None,2011,Alive
+P102322,72,Male,Never,20,11,High,Diesel Fumes,Low,Yes,No,26.4,Low,High,Good,West,High,Tertiary,Good,Never,Yes,None,2016,Alive
+P102323,54,Male,Current,11,9,High,Asbestos,Low,No,No,32.0,High,Moderate,Good,West,Low,Primary,Good,Regularly,Yes,None,2015,Alive
+P102324,36,Male,Current,1,30,High,None,Moderate,No,No,24.5,Low,Moderate,Average,North,Middle,Tertiary,Good,Regularly,Yes,None,2017,Alive
+P102325,59,Female,Current,12,10,Medium,Silica,Moderate,Yes,No,31.1,Low,Moderate,Good,East,Middle,Secondary,Good,Regularly,No,None,2024,Alive
+P102326,35,Male,Former,3,15,Medium,Asbestos,High,Yes,No,25.3,Low,None,Poor,South,Low,Tertiary,Average,Regularly,Yes,None,2021,Deceased
+P102327,88,Male,Never,19,8,Medium,Silica,High,No,No,25.7,Low,Moderate,Average,East,High,Primary,Good,Regularly,No,None,2005,Alive
+P102328,74,Male,Former,49,13,High,Silica,High,Yes,No,25.1,Low,Moderate,Average,East,Middle,Tertiary,Average,Occasionally,Yes,None,2009,Alive
+P102329,45,Male,Never,47,18,High,Diesel Fumes,High,No,No,26.8,High,None,Good,East,High,Tertiary,Good,Regularly,No,None,2019,Alive
+P102330,72,Female,Never,13,30,Medium,Silica,Moderate,No,No,23.7,Low,Moderate,Poor,North,High,Tertiary,Good,Occasionally,No,None,2020,Alive
+P102331,44,Male,Current,29,8,Medium,Diesel Fumes,High,No,No,18.1,Moderate,Moderate,Poor,East,Middle,Primary,Poor,Occasionally,No,None,2008,Alive
+P102332,68,Female,Never,28,35,High,None,High,Yes,No,24.8,Low,Moderate,Good,East,High,Tertiary,Good,Never,No,None,2001,Alive
+P102333,57,Male,Current,7,38,Low,None,Low,No,No,25.7,Low,High,Good,North,High,Tertiary,Poor,Never,No,Stage IV,2002,Alive
+P102334,85,Female,Former,11,25,Medium,Asbestos,High,No,No,33.2,Low,High,Poor,West,Low,Primary,Poor,Occasionally,No,None,2009,Alive
+P102335,33,Female,Former,40,7,High,None,Low,Yes,Yes,13.7,High,None,Average,South,Middle,Secondary,Poor,Regularly,No,None,2007,Alive
+P102336,59,Male,Never,37,23,High,Diesel Fumes,Moderate,Yes,No,33.1,Moderate,None,Average,West,High,Secondary,Average,Regularly,No,None,2008,Alive
+P102337,89,Male,Former,25,7,Medium,Silica,High,Yes,No,30.2,Moderate,High,Good,East,Middle,Primary,Poor,Occasionally,No,Stage IV,2020,Alive
+P102338,32,Male,Never,49,18,Low,Silica,Low,No,No,28.4,Moderate,None,Good,West,Middle,Secondary,Poor,Regularly,No,None,2018,Alive
+P102339,69,Male,Current,1,29,High,None,High,No,No,25.8,High,None,Poor,North,High,Tertiary,Poor,Occasionally,No,Stage I,2000,Alive
+P102340,71,Female,Current,39,21,Medium,Diesel Fumes,Low,Yes,No,19.9,High,Moderate,Poor,South,Middle,Primary,Good,Never,Yes,None,2001,Alive
+P102341,64,Female,Former,13,8,High,Silica,High,No,No,34.8,Low,None,Poor,West,Low,Tertiary,Average,Regularly,No,None,2019,Alive
+P102342,78,Male,Never,5,3,High,None,Moderate,Yes,Yes,31.2,High,None,Poor,East,Low,Tertiary,Average,Regularly,No,Stage IV,2003,Deceased
+P102343,70,Male,Current,41,36,High,Diesel Fumes,Moderate,Yes,Yes,26.3,Moderate,Moderate,Good,South,High,Primary,Average,Regularly,No,None,2015,Alive
+P102344,71,Female,Former,39,7,High,Diesel Fumes,Low,Yes,No,26.4,Moderate,Moderate,Good,East,Middle,Tertiary,Average,Never,No,None,2020,Deceased
+P102345,39,Male,Never,30,0,Low,Silica,Low,Yes,No,24.5,High,High,Poor,West,High,Primary,Good,Regularly,Yes,None,2024,Alive
+P102346,43,Female,Former,16,27,Medium,Asbestos,Moderate,Yes,No,28.0,High,None,Good,West,Middle,Tertiary,Poor,Occasionally,No,Stage I,2011,Deceased
+P102347,50,Male,Current,24,5,Medium,Asbestos,High,No,No,24.8,Moderate,Moderate,Good,East,High,Secondary,Good,Regularly,Yes,None,2001,Deceased
+P102348,76,Female,Never,31,35,Medium,Diesel Fumes,Low,No,No,26.5,Moderate,None,Poor,South,High,Tertiary,Average,Occasionally,No,Stage I,2014,Alive
+P102349,46,Female,Never,11,10,Medium,Diesel Fumes,Moderate,Yes,No,27.2,Moderate,None,Average,South,Middle,Tertiary,Good,Regularly,No,None,2017,Alive
+P102350,45,Female,Current,48,4,Medium,None,Low,No,No,37.2,Moderate,High,Average,South,Low,Primary,Good,Occasionally,No,Stage IV,2015,Alive
+P102351,75,Female,Never,12,23,Low,Diesel Fumes,Moderate,No,No,20.4,Moderate,High,Poor,West,High,Secondary,Average,Never,No,None,2020,Alive
+P102352,62,Female,Never,18,17,High,None,Moderate,Yes,No,25.8,High,High,Average,West,Low,Tertiary,Poor,Regularly,Yes,None,2011,Alive
+P102353,44,Male,Former,43,19,High,None,Low,No,No,31.1,High,High,Good,East,Middle,Tertiary,Good,Never,No,None,2017,Alive
+P102354,53,Female,Current,47,27,Medium,None,Low,No,Yes,29.1,Low,High,Average,East,High,Secondary,Average,Never,No,None,2013,Alive
+P102355,75,Male,Former,24,12,High,Diesel Fumes,Moderate,Yes,No,28.4,Low,Moderate,Poor,North,Middle,Secondary,Good,Regularly,No,None,2020,Alive
+P102356,28,Female,Current,30,4,High,Diesel Fumes,High,No,No,40.1,Low,High,Poor,North,Low,Secondary,Good,Regularly,No,None,2011,Alive
+P102357,79,Female,Current,36,29,High,None,Moderate,No,Yes,30.4,High,Moderate,Average,North,Middle,Secondary,Good,Occasionally,No,None,2004,Alive
+P102358,52,Male,Never,24,0,Medium,Silica,High,No,No,21.9,Low,High,Average,East,High,Secondary,Poor,Regularly,Yes,None,2022,Alive
+P102359,28,Male,Current,15,21,Medium,Diesel Fumes,High,No,No,21.3,Low,Moderate,Good,South,Low,Tertiary,Good,Regularly,No,None,2003,Alive
+P102360,46,Male,Former,37,17,Low,Asbestos,High,No,No,24.8,High,None,Average,North,High,Secondary,Good,Occasionally,No,None,2017,Alive
+P102361,69,Male,Never,42,4,Medium,Silica,Low,Yes,No,22.8,Moderate,High,Average,East,Low,Secondary,Poor,Occasionally,No,None,2023,Alive
+P102362,58,Female,Former,48,30,Low,Asbestos,Moderate,Yes,No,25.4,High,Moderate,Average,West,Middle,Tertiary,Good,Regularly,Yes,None,2016,Alive
+P102363,79,Male,Former,22,5,Medium,Diesel Fumes,Moderate,Yes,No,26.7,High,High,Good,South,Middle,Primary,Good,Regularly,No,None,2015,Alive
+P102364,25,Female,Never,13,26,High,Silica,High,Yes,Yes,26.4,Moderate,Moderate,Average,North,High,Tertiary,Poor,Regularly,No,None,2009,Deceased
+P102365,62,Male,Never,5,24,Low,Diesel Fumes,High,Yes,No,12.7,Low,Moderate,Good,West,High,Primary,Average,Never,Yes,None,2016,Alive
+P102366,30,Male,Former,24,28,Low,Diesel Fumes,High,No,No,21.2,High,High,Good,South,High,Secondary,Good,Never,Yes,None,2011,Alive
+P102367,49,Female,Current,22,27,Low,Silica,Moderate,No,No,28.6,High,Moderate,Poor,South,Low,Primary,Average,Regularly,No,None,2011,Alive
+P102368,41,Female,Former,42,15,Medium,Diesel Fumes,High,Yes,No,33.2,Moderate,None,Poor,West,Low,Tertiary,Average,Occasionally,No,None,2022,Deceased
+P102369,85,Male,Current,11,11,Low,Silica,Moderate,Yes,No,23.0,High,High,Good,North,High,Primary,Average,Regularly,No,None,2003,Alive
+P102370,36,Female,Never,12,19,Medium,Diesel Fumes,Moderate,Yes,Yes,23.0,Low,None,Good,North,Low,Primary,Poor,Regularly,No,None,2002,Alive
+P102371,30,Female,Never,35,17,Low,None,Low,No,No,24.6,Moderate,Moderate,Good,West,Low,Primary,Poor,Never,No,None,2000,Alive
+P102372,51,Female,Never,38,33,Medium,Asbestos,High,No,No,33.6,High,Moderate,Poor,West,Middle,Secondary,Good,Regularly,No,None,2011,Alive
+P102373,32,Female,Never,33,22,Low,None,High,No,No,25.3,Low,High,Good,West,Middle,Tertiary,Average,Regularly,No,None,2007,Alive
+P102374,89,Female,Never,5,26,High,Diesel Fumes,High,No,No,13.8,Low,None,Poor,East,Middle,Primary,Poor,Never,Yes,None,2007,Deceased
+P102375,81,Female,Current,37,16,High,Diesel Fumes,Low,No,No,33.9,High,None,Poor,South,High,Secondary,Poor,Never,No,None,2011,Alive
+P102376,64,Female,Current,49,20,Low,Diesel Fumes,High,No,No,28.5,Low,High,Good,North,Middle,Tertiary,Average,Occasionally,No,None,2003,Alive
+P102377,38,Female,Current,39,39,Medium,None,Moderate,Yes,No,18.5,Moderate,None,Good,North,Middle,Tertiary,Poor,Occasionally,No,None,2015,Alive
+P102378,59,Male,Never,7,30,Medium,Diesel Fumes,High,No,No,22.4,Low,High,Good,West,Low,Tertiary,Average,Occasionally,No,Stage II,2001,Deceased
+P102379,72,Female,Current,7,2,Medium,Silica,Moderate,Yes,No,21.0,Moderate,High,Poor,South,Middle,Tertiary,Poor,Regularly,No,None,2003,Alive
+P102380,80,Male,Former,39,16,High,Asbestos,Moderate,Yes,Yes,24.0,Moderate,Moderate,Average,West,Low,Secondary,Average,Occasionally,No,None,2022,Alive
+P102381,73,Female,Never,32,25,High,Diesel Fumes,Moderate,No,No,32.4,Moderate,Moderate,Good,South,Middle,Tertiary,Poor,Never,Yes,None,2003,Alive
+P102382,37,Female,Current,33,22,High,Diesel Fumes,Moderate,No,No,15.7,High,None,Average,West,High,Primary,Poor,Occasionally,No,None,2010,Alive
+P102383,85,Female,Current,43,5,Medium,Asbestos,High,No,Yes,23.3,Low,High,Average,West,High,Tertiary,Poor,Regularly,Yes,None,2002,Alive
+P102384,73,Female,Never,14,27,Medium,Asbestos,Low,No,No,25.6,High,High,Average,South,Middle,Tertiary,Poor,Regularly,No,None,2009,Alive
+P102385,70,Male,Former,35,7,Medium,Asbestos,Low,No,No,24.7,High,High,Average,North,Middle,Secondary,Average,Occasionally,No,None,2011,Alive
+P102386,86,Male,Never,34,7,Low,None,Moderate,No,Yes,21.0,Moderate,High,Average,North,Middle,Primary,Good,Regularly,Yes,None,2016,Alive
+P102387,32,Female,Current,45,18,Low,None,High,No,No,30.9,High,Moderate,Poor,East,High,Primary,Good,Regularly,Yes,None,2008,Alive
+P102388,67,Male,Former,21,37,Low,Diesel Fumes,Low,No,No,24.2,Low,None,Poor,South,Low,Secondary,Poor,Regularly,No,Stage I,2020,Alive
+P102389,44,Female,Current,22,28,High,Asbestos,High,Yes,No,23.6,High,Moderate,Poor,North,Low,Secondary,Good,Occasionally,No,Stage III,2001,Alive
+P102390,63,Female,Never,39,22,High,Diesel Fumes,Low,Yes,No,26.7,High,High,Average,North,Middle,Primary,Poor,Regularly,No,None,2021,Alive
+P102391,73,Male,Former,44,31,Medium,Diesel Fumes,Moderate,No,No,23.6,Moderate,None,Poor,South,High,Primary,Good,Occasionally,No,None,2017,Alive
+P102392,88,Male,Former,21,9,Low,Diesel Fumes,Moderate,Yes,No,22.2,Moderate,None,Good,North,Low,Tertiary,Poor,Occasionally,No,None,2011,Alive
+P102393,86,Female,Former,4,26,Medium,None,Moderate,No,No,20.4,High,High,Average,South,Middle,Secondary,Good,Regularly,No,None,2005,Alive
+P102394,78,Female,Former,30,0,Low,Asbestos,Low,Yes,No,36.0,Moderate,High,Good,North,High,Primary,Good,Occasionally,No,None,2024,Alive
+P102395,33,Male,Current,12,38,Low,Diesel Fumes,High,Yes,No,29.0,High,Moderate,Average,West,High,Primary,Poor,Occasionally,No,None,2017,Alive
+P102396,61,Female,Current,27,28,Medium,None,Moderate,No,No,23.1,Low,Moderate,Average,South,Low,Secondary,Good,Regularly,No,Stage I,2012,Deceased
+P102397,73,Male,Current,19,2,Medium,Silica,High,No,No,31.4,Low,High,Average,South,High,Secondary,Poor,Regularly,No,None,2014,Alive
+P102398,65,Female,Current,32,36,Low,Silica,High,No,No,27.6,Moderate,High,Average,North,Middle,Primary,Good,Occasionally,No,None,2000,Alive
+P102399,41,Female,Current,15,30,Low,Diesel Fumes,Moderate,Yes,No,25.2,Low,Moderate,Good,South,Middle,Secondary,Average,Never,No,None,2022,Alive
+P102400,45,Male,Former,28,10,High,Diesel Fumes,Low,Yes,No,19.9,Low,None,Average,East,Low,Primary,Average,Never,No,None,2007,Alive
+P102401,75,Male,Current,22,21,Medium,Asbestos,Moderate,No,No,20.9,High,None,Average,East,High,Primary,Average,Never,Yes,None,2017,Alive
+P102402,83,Male,Former,23,17,Medium,Asbestos,Moderate,Yes,No,29.8,Moderate,None,Poor,South,Low,Tertiary,Poor,Never,Yes,None,2019,Alive
+P102403,63,Female,Former,33,34,Medium,Diesel Fumes,Low,No,No,28.8,Low,Moderate,Average,East,Low,Tertiary,Poor,Occasionally,No,None,2023,Alive
+P102404,79,Female,Former,6,5,Medium,None,High,Yes,No,18.1,Moderate,High,Average,North,High,Secondary,Poor,Regularly,No,Stage III,2011,Alive
+P102405,65,Female,Former,37,2,Low,Diesel Fumes,Low,No,No,23.0,Moderate,None,Average,North,Low,Secondary,Average,Never,No,None,2019,Alive
+P102406,63,Female,Never,36,4,High,Asbestos,Low,Yes,Yes,28.4,Moderate,High,Average,South,High,Primary,Good,Regularly,No,None,2011,Alive
+P102407,37,Male,Current,3,8,Medium,Asbestos,Moderate,No,No,30.6,Low,Moderate,Average,North,Middle,Tertiary,Poor,Never,No,Stage I,2024,Alive
+P102408,88,Female,Former,33,27,Low,None,Low,No,No,27.6,Moderate,Moderate,Average,North,Low,Secondary,Average,Never,No,None,2000,Alive
+P102409,35,Female,Never,41,18,Low,Diesel Fumes,Low,No,No,22.7,Moderate,High,Good,East,High,Primary,Poor,Never,No,None,2009,Alive
+P102410,43,Female,Former,21,27,Low,Asbestos,Low,Yes,No,26.2,High,High,Good,North,High,Tertiary,Poor,Regularly,No,None,2022,Deceased
+P102411,35,Male,Never,4,26,Low,Diesel Fumes,High,No,No,23.9,High,High,Average,North,High,Primary,Good,Regularly,No,None,2018,Deceased
+P102412,70,Female,Never,49,12,Low,Asbestos,High,Yes,No,26.9,High,High,Good,East,Low,Tertiary,Poor,Never,No,None,2018,Alive
+P102413,69,Female,Never,41,37,Medium,Silica,Moderate,No,Yes,32.4,High,None,Poor,West,Middle,Primary,Poor,Regularly,Yes,None,2010,Alive
+P102414,25,Male,Former,22,20,Medium,Silica,Moderate,No,No,21.1,Moderate,High,Poor,South,Low,Tertiary,Good,Never,No,None,2022,Alive
+P102415,64,Female,Former,14,26,High,Silica,High,No,No,26.4,High,None,Average,South,Middle,Primary,Poor,Occasionally,No,None,2021,Alive
+P102416,43,Female,Current,30,5,Medium,Asbestos,Low,Yes,No,24.5,High,Moderate,Average,West,Low,Primary,Poor,Regularly,No,Stage II,2002,Alive
+P102417,85,Male,Current,8,37,Low,None,Moderate,Yes,Yes,23.7,Low,None,Good,East,Low,Secondary,Good,Never,No,Stage III,2013,Alive
+P102418,36,Female,Former,42,10,High,Silica,Moderate,Yes,No,24.3,High,High,Poor,East,Low,Tertiary,Poor,Occasionally,No,None,2017,Alive
+P102419,85,Female,Former,24,16,Low,Asbestos,Low,No,No,31.6,High,None,Average,North,Middle,Tertiary,Poor,Occasionally,No,None,2005,Alive
+P102420,57,Female,Former,24,38,Low,Diesel Fumes,Low,Yes,No,27.9,Low,Moderate,Poor,North,High,Secondary,Average,Never,No,None,2022,Alive
+P102421,69,Male,Current,48,6,Medium,Silica,Low,No,No,22.6,Moderate,High,Good,South,Low,Secondary,Good,Occasionally,No,None,2008,Alive
+P102422,32,Female,Never,20,29,Low,None,Low,No,No,28.2,Moderate,Moderate,Average,South,Low,Primary,Average,Occasionally,No,None,2024,Alive
+P102423,49,Female,Never,8,20,Medium,None,Low,No,No,22.2,Low,Moderate,Average,East,Middle,Tertiary,Good,Never,Yes,None,2008,Alive
+P102424,70,Male,Current,47,0,Low,None,High,No,No,16.1,Low,High,Average,North,Low,Primary,Poor,Occasionally,No,None,2016,Alive
+P102425,54,Male,Former,37,24,High,Diesel Fumes,Low,No,No,13.5,Moderate,None,Poor,East,High,Primary,Average,Occasionally,No,None,2003,Alive
+P102426,71,Female,Never,21,31,Low,Diesel Fumes,Moderate,Yes,No,27.5,High,Moderate,Good,West,High,Primary,Average,Never,No,None,2003,Alive
+P102427,73,Female,Never,42,7,Medium,None,High,Yes,No,23.6,Low,High,Poor,South,Middle,Secondary,Average,Never,No,None,2023,Alive
+P102428,71,Female,Current,22,4,Low,None,Moderate,No,No,30.0,Low,Moderate,Poor,South,Middle,Tertiary,Average,Occasionally,Yes,None,2018,Alive
+P102429,42,Female,Current,48,29,Medium,None,Low,No,No,26.9,Low,None,Average,East,High,Secondary,Good,Regularly,No,None,2015,Alive
+P102430,57,Male,Current,3,7,Medium,Diesel Fumes,Moderate,Yes,No,26.3,Moderate,Moderate,Good,North,High,Secondary,Poor,Never,No,None,2016,Alive
+P102431,60,Female,Former,28,18,High,Diesel Fumes,Low,No,No,22.7,Moderate,Moderate,Good,North,High,Tertiary,Poor,Regularly,Yes,Stage II,2002,Alive
+P102432,43,Male,Former,14,29,Medium,Asbestos,Moderate,No,No,27.6,Moderate,Moderate,Average,West,Middle,Tertiary,Average,Never,No,None,2021,Deceased
+P102433,52,Male,Current,0,14,High,Silica,Moderate,No,No,32.8,Moderate,Moderate,Good,West,High,Secondary,Poor,Regularly,No,None,2006,Deceased
+P102434,64,Female,Current,29,35,High,Diesel Fumes,Low,No,No,14.9,Moderate,None,Average,West,High,Secondary,Poor,Never,No,None,2024,Alive
+P102435,39,Female,Never,28,26,Low,None,Moderate,Yes,Yes,24.3,High,High,Average,East,High,Secondary,Good,Occasionally,No,None,2004,Deceased
+P102436,65,Male,Current,19,12,High,Silica,High,No,No,31.7,High,Moderate,Good,South,Low,Tertiary,Poor,Occasionally,Yes,None,2020,Alive
+P102437,63,Male,Never,32,13,Medium,Diesel Fumes,Moderate,Yes,No,19.3,Moderate,None,Good,East,Middle,Tertiary,Poor,Regularly,No,Stage III,2002,Alive
+P102438,26,Female,Never,40,36,Medium,Silica,High,Yes,No,25.7,Moderate,Moderate,Good,East,Middle,Primary,Poor,Regularly,No,None,2011,Alive
+P102439,87,Male,Current,43,29,High,Asbestos,High,Yes,No,21.6,Moderate,Moderate,Good,North,Middle,Tertiary,Poor,Never,Yes,None,2018,Alive
+P102440,53,Female,Former,35,38,Low,Diesel Fumes,Moderate,Yes,No,23.7,Low,Moderate,Poor,West,Middle,Secondary,Average,Never,Yes,None,2008,Alive
+P102441,75,Female,Current,21,12,High,None,High,No,Yes,16.1,Low,None,Average,South,Low,Tertiary,Good,Regularly,No,None,2002,Alive
+P102442,34,Male,Never,12,15,High,None,High,No,No,29.9,Moderate,Moderate,Average,West,Low,Tertiary,Good,Regularly,No,Stage III,2002,Alive
+P102443,38,Male,Former,6,6,Medium,Asbestos,Moderate,No,No,25.8,Moderate,Moderate,Average,West,Low,Tertiary,Good,Occasionally,Yes,None,2015,Alive
+P102444,75,Female,Current,7,26,Low,Asbestos,Low,Yes,No,17.8,Low,High,Average,West,Low,Secondary,Poor,Regularly,Yes,Stage II,2024,Alive
+P102445,63,Male,Current,27,34,Low,Asbestos,Low,Yes,Yes,27.1,Low,None,Poor,South,Low,Primary,Average,Occasionally,Yes,None,2019,Alive
+P102446,52,Female,Never,44,14,Low,Asbestos,High,Yes,Yes,26.0,Low,High,Good,North,Middle,Primary,Good,Regularly,No,None,2012,Alive
+P102447,27,Female,Former,42,27,Low,Asbestos,High,No,No,21.6,Low,High,Good,South,Middle,Secondary,Average,Occasionally,Yes,None,2005,Alive
+P102448,51,Female,Current,8,34,Medium,Diesel Fumes,Low,No,No,34.8,Low,High,Good,South,Middle,Secondary,Good,Occasionally,No,None,2000,Alive
+P102449,26,Male,Never,24,6,Low,Diesel Fumes,High,No,No,27.6,Moderate,High,Average,North,Low,Primary,Average,Occasionally,Yes,None,2010,Alive
+P102450,62,Female,Current,15,19,Low,Silica,Low,Yes,Yes,31.5,Moderate,Moderate,Poor,South,High,Secondary,Poor,Never,No,None,2017,Alive
+P102451,27,Female,Current,9,31,Low,Asbestos,Moderate,Yes,No,24.2,Low,High,Poor,South,Middle,Tertiary,Poor,Occasionally,No,None,2002,Alive
+P102452,40,Female,Never,10,37,Medium,None,High,No,No,16.9,Moderate,None,Good,East,Middle,Tertiary,Good,Regularly,No,None,2017,Alive
+P102453,64,Female,Never,30,39,Medium,None,Moderate,Yes,No,13.4,Low,Moderate,Average,South,High,Primary,Good,Regularly,No,None,2010,Alive
+P102454,26,Female,Never,11,31,Low,Asbestos,Low,Yes,No,19.9,Low,High,Good,East,Low,Tertiary,Good,Regularly,No,None,2014,Deceased
+P102455,65,Female,Current,30,25,Medium,Asbestos,Low,No,No,31.7,Low,High,Average,East,High,Primary,Poor,Never,Yes,Stage I,2002,Alive
+P102456,36,Female,Never,13,38,High,Asbestos,Moderate,Yes,No,22.5,Moderate,None,Good,East,High,Secondary,Poor,Occasionally,No,None,2011,Alive
+P102457,59,Female,Former,43,19,Low,Asbestos,High,Yes,No,30.2,Moderate,None,Good,West,Middle,Primary,Good,Never,No,Stage II,2020,Alive
+P102458,89,Female,Former,31,17,Medium,Asbestos,Moderate,No,No,19.2,Moderate,High,Poor,North,Middle,Primary,Good,Occasionally,Yes,None,2011,Alive
+P102459,79,Female,Former,49,14,Low,None,Moderate,Yes,No,21.7,Moderate,High,Average,West,Low,Tertiary,Poor,Regularly,Yes,None,2016,Alive
+P102460,69,Female,Never,16,21,Low,Silica,High,Yes,No,22.4,High,High,Poor,North,High,Primary,Good,Occasionally,No,None,2000,Alive
+P102461,86,Male,Never,34,21,Medium,Asbestos,Low,Yes,No,26.1,Low,High,Poor,South,Low,Primary,Good,Never,Yes,None,2010,Alive
+P102462,73,Female,Current,0,20,High,Asbestos,Moderate,Yes,No,18.2,Low,High,Good,East,High,Primary,Good,Never,No,None,2022,Alive
+P102463,49,Female,Current,28,1,Low,Asbestos,Moderate,No,No,21.0,Moderate,None,Average,West,Middle,Secondary,Poor,Never,Yes,None,2024,Alive
+P102464,47,Female,Current,3,39,High,Diesel Fumes,Low,No,No,23.8,Moderate,None,Average,South,High,Tertiary,Poor,Never,No,None,2014,Deceased
+P102465,48,Male,Never,22,17,Medium,None,Moderate,Yes,No,18.3,High,Moderate,Good,West,Low,Tertiary,Average,Regularly,No,None,2008,Alive
+P102466,62,Female,Former,27,22,Low,None,Low,No,No,16.2,Low,Moderate,Good,South,High,Primary,Average,Never,No,None,2006,Alive
+P102467,52,Male,Current,15,12,Medium,Silica,High,No,No,25.1,Low,None,Good,West,Low,Primary,Average,Never,No,None,2010,Alive
+P102468,45,Female,Never,11,8,Medium,Diesel Fumes,Low,No,No,18.4,Moderate,Moderate,Average,South,High,Secondary,Average,Never,No,None,2017,Alive
+P102469,78,Female,Current,20,6,Medium,Diesel Fumes,Low,Yes,No,31.1,Moderate,High,Good,South,Middle,Tertiary,Good,Regularly,No,Stage III,2022,Alive
+P102470,42,Male,Current,44,0,Medium,Diesel Fumes,Moderate,Yes,No,31.2,High,Moderate,Good,West,Middle,Tertiary,Poor,Occasionally,No,None,2024,Deceased
+P102471,60,Female,Never,16,1,Low,Silica,Low,No,No,22.1,Low,High,Poor,South,Low,Primary,Poor,Regularly,No,Stage IV,2006,Alive
+P102472,69,Male,Current,39,3,High,Silica,Low,No,No,28.0,High,High,Good,East,Middle,Secondary,Average,Regularly,Yes,Stage IV,2017,Alive
+P102473,77,Male,Current,12,13,High,Silica,Moderate,No,No,25.3,Low,Moderate,Good,East,High,Secondary,Good,Regularly,No,None,2014,Alive
+P102474,54,Female,Never,31,31,Low,Diesel Fumes,Low,No,No,30.3,Moderate,Moderate,Average,East,High,Primary,Poor,Occasionally,No,None,2015,Alive
+P102475,84,Female,Former,36,35,Low,None,Moderate,Yes,No,22.7,High,High,Good,East,Middle,Primary,Poor,Never,No,Stage IV,2014,Alive
+P102476,56,Female,Former,49,1,High,Diesel Fumes,High,No,No,27.6,Moderate,None,Average,North,Low,Primary,Good,Regularly,No,None,2022,Alive
+P102477,52,Female,Former,14,39,High,Silica,Low,Yes,No,26.6,Low,Moderate,Poor,West,High,Primary,Good,Never,Yes,None,2003,Alive
+P102478,68,Male,Never,11,13,Low,Diesel Fumes,High,Yes,No,26.3,Low,Moderate,Poor,East,Low,Primary,Average,Never,No,Stage I,2023,Alive
+P102479,65,Male,Former,48,19,Medium,Asbestos,Low,Yes,No,21.9,High,None,Average,East,High,Secondary,Average,Occasionally,No,None,2002,Deceased
+P102480,87,Female,Current,14,24,Low,Diesel Fumes,Low,Yes,No,30.9,Moderate,Moderate,Good,East,Low,Secondary,Good,Occasionally,Yes,None,2013,Deceased
+P102481,47,Male,Former,33,7,High,Diesel Fumes,High,Yes,No,23.0,Low,High,Average,North,Low,Primary,Poor,Regularly,No,None,2020,Alive
+P102482,72,Male,Never,5,27,Medium,None,High,Yes,No,22.9,Low,None,Good,West,High,Primary,Good,Occasionally,No,None,2002,Alive
+P102483,56,Female,Current,16,20,High,None,Moderate,Yes,No,21.4,High,None,Good,South,High,Tertiary,Good,Occasionally,No,None,2022,Alive
+P102484,81,Male,Former,47,22,Medium,None,Moderate,No,No,21.7,High,High,Good,North,Low,Secondary,Poor,Occasionally,No,None,2015,Deceased
+P102485,57,Male,Current,48,31,High,Asbestos,High,Yes,No,23.8,Moderate,High,Average,East,High,Secondary,Poor,Never,No,None,2014,Alive
+P102486,48,Female,Former,19,7,Medium,None,Low,No,No,27.2,High,High,Poor,East,Middle,Primary,Average,Occasionally,No,None,2018,Deceased
+P102487,63,Male,Never,8,30,Low,Asbestos,Moderate,No,No,28.9,Low,None,Average,North,High,Secondary,Good,Regularly,No,Stage III,2009,Alive
+P102488,58,Female,Never,4,36,Low,Silica,Low,No,No,25.6,Moderate,High,Good,West,Low,Secondary,Average,Occasionally,No,None,2020,Alive
+P102489,80,Male,Current,22,15,Medium,None,Moderate,No,No,32.1,Moderate,Moderate,Average,West,High,Secondary,Good,Regularly,Yes,None,2016,Deceased
+P102490,52,Female,Never,32,39,Medium,Diesel Fumes,Moderate,No,No,25.6,Moderate,Moderate,Poor,South,High,Tertiary,Good,Regularly,No,None,2003,Deceased
+P102491,61,Male,Current,37,26,Low,Diesel Fumes,Moderate,Yes,No,16.0,Low,High,Average,North,Low,Secondary,Poor,Occasionally,No,Stage IV,2021,Alive
+P102492,31,Male,Never,13,39,Low,Asbestos,High,Yes,Yes,19.2,High,Moderate,Poor,West,High,Primary,Good,Never,No,None,2017,Alive
+P102493,61,Female,Former,16,17,Medium,None,Low,No,No,28.5,Moderate,Moderate,Poor,North,Low,Secondary,Good,Regularly,No,None,2021,Alive
+P102494,80,Female,Former,18,34,Medium,Diesel Fumes,High,No,No,23.4,Low,None,Good,West,Low,Secondary,Poor,Regularly,No,None,2009,Alive
+P102495,89,Female,Current,32,14,Low,Silica,Moderate,No,No,23.0,High,High,Poor,West,Low,Tertiary,Poor,Regularly,Yes,None,2022,Alive
+P102496,89,Female,Current,0,26,High,None,High,Yes,No,20.2,Moderate,Moderate,Average,East,Low,Secondary,Poor,Occasionally,No,None,2015,Deceased
+P102497,71,Male,Never,12,16,Low,Silica,High,No,No,23.0,High,High,Average,West,Middle,Tertiary,Good,Regularly,No,None,2023,Alive
+P102498,44,Male,Former,45,39,Medium,Diesel Fumes,High,Yes,No,23.1,High,High,Good,West,Middle,Tertiary,Poor,Occasionally,No,None,2002,Alive
+P102499,43,Male,Never,26,1,Medium,None,Low,Yes,Yes,27.5,High,Moderate,Average,North,Low,Tertiary,Good,Regularly,Yes,None,2011,Alive
+P102500,53,Female,Former,5,30,High,Asbestos,High,No,No,23.8,Low,Moderate,Good,West,High,Secondary,Average,Never,No,None,2018,Alive
+P102501,84,Male,Former,5,36,Low,Diesel Fumes,High,Yes,No,31.4,Moderate,None,Average,West,Middle,Primary,Poor,Regularly,Yes,None,2020,Alive
+P102502,42,Male,Current,32,33,Medium,Silica,High,Yes,No,21.7,Moderate,None,Average,North,Low,Primary,Average,Occasionally,No,None,2002,Alive
+P102503,59,Female,Current,29,33,Low,None,High,Yes,Yes,26.0,Moderate,None,Poor,West,Middle,Secondary,Average,Occasionally,No,None,2008,Alive
+P102504,67,Female,Former,45,2,Medium,Silica,High,No,No,16.7,Low,Moderate,Poor,North,Low,Tertiary,Poor,Regularly,No,None,2006,Alive
+P102505,35,Male,Former,34,16,High,Silica,High,No,No,28.3,High,None,Poor,North,Middle,Primary,Poor,Occasionally,No,None,2015,Deceased
+P102506,73,Female,Current,22,13,Low,Asbestos,High,No,No,17.9,Low,High,Average,North,Low,Secondary,Good,Never,No,None,2020,Alive
+P102507,62,Male,Current,9,13,Low,Asbestos,Moderate,No,No,27.9,Moderate,None,Good,North,Middle,Primary,Poor,Occasionally,No,None,2020,Alive
+P102508,88,Male,Never,18,37,High,Diesel Fumes,High,No,No,15.8,High,None,Good,East,Middle,Secondary,Average,Regularly,Yes,None,2000,Alive
+P102509,32,Female,Former,27,34,Medium,Asbestos,High,No,No,19.8,Low,None,Good,East,High,Tertiary,Average,Never,No,None,2024,Deceased
+P102510,58,Male,Former,22,0,Medium,Asbestos,Low,No,No,29.2,Low,High,Poor,East,Middle,Primary,Average,Occasionally,Yes,None,2014,Alive
+P102511,72,Female,Never,3,28,Low,Diesel Fumes,Moderate,No,No,32.8,Low,High,Average,East,High,Secondary,Good,Regularly,No,Stage II,2001,Alive
+P102512,80,Female,Never,19,3,High,Diesel Fumes,High,Yes,No,11.4,Low,Moderate,Poor,North,Middle,Secondary,Good,Occasionally,No,None,2015,Deceased
+P102513,89,Male,Never,18,32,Low,Diesel Fumes,Low,No,No,19.6,High,None,Average,North,Low,Primary,Poor,Regularly,Yes,None,2006,Alive
+P102514,55,Male,Current,41,16,Low,Diesel Fumes,High,Yes,No,34.1,Low,High,Average,North,High,Secondary,Poor,Occasionally,No,Stage III,2013,Alive
+P102515,28,Male,Never,26,27,Medium,Silica,High,Yes,No,25.7,High,High,Average,North,Middle,Primary,Poor,Occasionally,No,None,2022,Alive
+P102516,74,Female,Never,33,25,Medium,Silica,High,No,No,19.8,Low,High,Poor,East,High,Secondary,Average,Never,No,None,2001,Deceased
+P102517,54,Male,Never,3,7,Medium,Diesel Fumes,High,Yes,Yes,32.4,Moderate,Moderate,Average,West,Low,Primary,Average,Never,No,None,2023,Alive
+P102518,83,Female,Current,37,33,Medium,Diesel Fumes,High,Yes,No,27.9,Low,Moderate,Poor,East,Low,Tertiary,Average,Occasionally,No,None,2023,Alive
+P102519,69,Female,Current,6,17,Medium,None,Low,No,No,25.6,Low,Moderate,Poor,North,Low,Primary,Poor,Regularly,Yes,None,2024,Deceased
+P102520,28,Male,Former,47,30,High,None,High,Yes,No,15.4,Moderate,None,Average,North,Low,Secondary,Poor,Regularly,No,None,2017,Alive
+P102521,50,Female,Former,6,26,Low,None,Low,No,No,35.5,High,High,Average,West,Low,Tertiary,Average,Occasionally,No,None,2000,Alive
+P102522,51,Male,Current,49,15,High,Asbestos,High,Yes,No,26.3,Low,Moderate,Average,North,High,Tertiary,Poor,Occasionally,No,None,2015,Alive
+P102523,70,Male,Never,25,9,Low,Silica,Low,Yes,No,23.5,Low,Moderate,Poor,West,High,Primary,Good,Never,No,None,2008,Alive
+P102524,88,Male,Never,25,39,Medium,Silica,Moderate,No,No,32.3,Moderate,High,Average,North,Middle,Primary,Poor,Occasionally,No,None,2002,Alive
+P102525,75,Male,Never,18,11,High,None,High,Yes,Yes,20.4,High,High,Average,West,Middle,Primary,Average,Occasionally,No,Stage III,2012,Alive
+P102526,74,Male,Never,8,21,Low,None,Moderate,Yes,No,19.5,Moderate,None,Good,South,Low,Tertiary,Poor,Regularly,No,None,2001,Alive
+P102527,30,Male,Former,19,15,Medium,Silica,Moderate,No,No,20.1,Low,None,Good,South,Low,Tertiary,Good,Never,No,Stage IV,2017,Deceased
+P102528,83,Male,Current,41,11,Medium,Asbestos,Moderate,No,No,23.1,High,None,Good,South,High,Primary,Average,Never,No,None,2001,Alive
+P102529,39,Female,Current,44,10,High,None,High,Yes,No,25.1,Low,Moderate,Average,South,Low,Secondary,Poor,Occasionally,Yes,None,2007,Alive
+P102530,54,Male,Former,49,19,High,Diesel Fumes,Moderate,Yes,No,28.2,Moderate,Moderate,Poor,North,Low,Tertiary,Poor,Never,No,None,2002,Alive
+P102531,66,Female,Current,15,0,High,None,Low,No,No,18.7,Low,High,Good,North,Low,Primary,Poor,Regularly,No,Stage II,2016,Alive
+P102532,61,Female,Never,16,26,Medium,Silica,High,Yes,No,26.5,Moderate,None,Poor,North,Middle,Secondary,Poor,Occasionally,No,None,2023,Alive
+P102533,66,Female,Never,21,2,Low,Silica,Moderate,No,No,22.0,Moderate,High,Good,South,High,Primary,Good,Occasionally,No,Stage II,2001,Alive
+P102534,59,Male,Former,12,11,Low,None,High,No,No,24.5,High,None,Good,West,Middle,Tertiary,Poor,Regularly,No,None,2005,Alive
+P102535,30,Female,Current,11,29,High,None,Moderate,No,No,31.0,Moderate,None,Poor,West,Low,Tertiary,Poor,Never,No,None,2007,Alive
+P102536,42,Female,Never,9,8,Low,Diesel Fumes,Low,Yes,No,27.5,High,None,Good,South,Low,Primary,Average,Never,Yes,None,2024,Alive
+P102537,53,Male,Former,0,36,Medium,Diesel Fumes,High,Yes,No,27.9,High,None,Poor,North,Middle,Secondary,Good,Regularly,No,None,2016,Alive
+P102538,83,Male,Current,31,0,Low,Asbestos,High,Yes,No,21.9,High,High,Average,South,Middle,Tertiary,Average,Regularly,No,None,2024,Alive
+P102539,71,Female,Current,29,3,Medium,Asbestos,Moderate,No,No,34.6,High,High,Average,East,High,Primary,Good,Regularly,No,None,2023,Alive
+P102540,41,Male,Current,7,14,High,Diesel Fumes,Low,Yes,No,28.4,High,Moderate,Poor,West,Low,Primary,Poor,Regularly,Yes,None,2005,Alive
+P102541,46,Male,Former,20,26,Low,Asbestos,High,No,No,22.9,Moderate,None,Poor,South,Low,Secondary,Good,Never,Yes,None,2011,Alive
+P102542,61,Male,Never,21,7,Medium,Asbestos,Moderate,Yes,No,30.7,Moderate,High,Average,South,Middle,Secondary,Average,Never,No,None,2020,Alive
+P102543,73,Male,Former,17,22,High,None,Low,No,No,27.8,High,None,Poor,South,High,Tertiary,Poor,Regularly,No,None,2015,Alive
+P102544,37,Female,Never,1,14,High,Diesel Fumes,Low,No,No,18.7,Moderate,None,Average,South,High,Secondary,Average,Regularly,No,None,2005,Deceased
+P102545,58,Male,Current,47,26,High,None,Low,Yes,No,26.0,High,Moderate,Average,North,Low,Secondary,Average,Occasionally,No,None,2001,Alive
+P102546,77,Male,Former,43,30,High,None,Low,No,No,20.2,Moderate,Moderate,Poor,West,Low,Tertiary,Good,Occasionally,Yes,None,2002,Alive
+P102547,75,Male,Former,8,38,Low,Asbestos,High,Yes,No,14.8,High,High,Good,East,Middle,Primary,Poor,Never,No,None,2008,Alive
+P102548,27,Female,Current,2,7,Medium,None,High,Yes,No,22.8,Low,High,Poor,North,Low,Tertiary,Average,Occasionally,No,None,2018,Alive
+P102549,66,Female,Former,25,29,Low,Silica,Low,Yes,No,30.7,Low,Moderate,Average,South,Middle,Tertiary,Average,Occasionally,No,None,2009,Deceased
+P102550,56,Male,Former,20,17,Medium,Asbestos,Moderate,Yes,No,32.4,High,High,Good,South,Low,Secondary,Good,Occasionally,No,None,2022,Alive
+P102551,75,Male,Current,29,3,High,Silica,Moderate,Yes,No,22.4,Moderate,High,Good,South,Low,Secondary,Average,Never,No,Stage I,2012,Alive
+P102552,70,Female,Current,27,21,Low,Asbestos,Low,No,No,23.6,High,Moderate,Average,South,Low,Primary,Poor,Occasionally,No,Stage II,2019,Alive
+P102553,45,Male,Current,35,2,High,None,Low,Yes,No,32.0,Moderate,None,Good,West,High,Secondary,Poor,Regularly,Yes,Stage IV,2012,Deceased
+P102554,68,Male,Never,25,14,Medium,Asbestos,Moderate,No,No,28.4,High,None,Good,South,Low,Primary,Good,Never,No,None,2024,Alive
+P102555,35,Female,Former,33,34,High,Silica,Low,Yes,No,27.4,High,Moderate,Poor,East,Low,Primary,Average,Occasionally,No,None,2019,Alive
+P102556,25,Male,Current,7,37,Low,Asbestos,Low,No,No,25.7,Moderate,None,Average,North,High,Primary,Good,Never,No,None,2014,Alive
+P102557,87,Male,Never,9,32,Low,Silica,High,No,No,28.6,Moderate,None,Good,West,High,Tertiary,Good,Occasionally,No,None,2012,Alive
+P102558,48,Female,Never,47,13,Medium,Diesel Fumes,High,Yes,No,24.9,High,Moderate,Average,South,Low,Secondary,Average,Never,No,None,2012,Alive
+P102559,37,Female,Current,42,0,Medium,None,Low,No,No,32.6,Low,High,Poor,East,High,Secondary,Poor,Regularly,No,None,2005,Deceased
+P102560,35,Male,Never,49,25,Low,Silica,Low,Yes,No,24.4,Low,Moderate,Poor,North,High,Primary,Good,Occasionally,No,None,2017,Deceased
+P102561,75,Female,Current,13,7,Low,Diesel Fumes,High,Yes,No,24.3,Low,Moderate,Poor,North,High,Secondary,Poor,Occasionally,No,Stage IV,2006,Alive
+P102562,41,Male,Former,39,15,Low,None,Low,Yes,No,14.7,Low,None,Good,West,High,Primary,Poor,Never,Yes,Stage II,2002,Alive
+P102563,48,Male,Former,14,37,Low,Diesel Fumes,High,No,No,30.3,Low,Moderate,Poor,North,Middle,Secondary,Average,Regularly,No,None,2000,Alive
+P102564,43,Male,Never,16,9,Medium,Silica,High,No,No,20.2,Moderate,None,Average,South,Low,Tertiary,Average,Occasionally,No,None,2011,Alive
+P102565,61,Female,Current,17,36,Low,None,Moderate,No,No,13.1,Low,Moderate,Poor,South,Middle,Secondary,Poor,Regularly,No,None,2022,Alive
+P102566,32,Female,Former,31,25,Medium,Diesel Fumes,High,No,Yes,24.1,Moderate,High,Good,East,Low,Primary,Poor,Occasionally,No,None,2004,Alive
+P102567,52,Male,Former,37,27,Low,Silica,Moderate,Yes,No,23.3,Low,None,Poor,East,High,Tertiary,Poor,Regularly,No,None,2010,Alive
+P102568,29,Male,Current,22,11,Low,Diesel Fumes,Moderate,Yes,Yes,27.2,Moderate,Moderate,Good,North,Middle,Secondary,Good,Occasionally,No,Stage III,2011,Alive
+P102569,41,Female,Current,45,19,High,None,High,No,No,28.2,Low,None,Average,West,High,Tertiary,Poor,Never,Yes,None,2022,Alive
+P102570,60,Female,Current,22,13,High,None,Low,No,No,20.9,Low,Moderate,Poor,South,High,Primary,Good,Never,Yes,None,2015,Alive
+P102571,43,Female,Former,34,34,Low,None,High,Yes,Yes,38.6,Moderate,Moderate,Poor,North,High,Primary,Average,Regularly,No,Stage I,2000,Alive
+P102572,88,Male,Former,38,28,Medium,Silica,Moderate,No,No,24.0,Moderate,Moderate,Average,West,Low,Secondary,Average,Occasionally,No,None,2020,Alive
+P102573,35,Female,Current,14,11,Low,Diesel Fumes,High,Yes,No,16.6,High,None,Average,North,High,Primary,Poor,Occasionally,Yes,None,2017,Alive
+P102574,78,Female,Current,23,17,High,Diesel Fumes,High,No,Yes,32.9,Low,None,Good,West,Low,Secondary,Average,Regularly,No,None,2000,Deceased
+P102575,69,Male,Never,27,1,Low,Silica,Moderate,No,Yes,28.6,Low,High,Poor,East,Low,Primary,Poor,Occasionally,No,Stage I,2021,Alive
+P102576,71,Male,Never,15,1,High,None,High,No,No,27.0,Moderate,High,Poor,South,High,Primary,Good,Never,No,None,2004,Alive
+P102577,36,Male,Current,15,16,Low,Asbestos,High,Yes,No,22.8,Moderate,High,Poor,East,Low,Primary,Poor,Occasionally,No,None,2003,Alive
+P102578,45,Female,Former,39,9,Low,None,Moderate,Yes,No,25.2,Low,High,Poor,South,Middle,Secondary,Average,Never,No,Stage II,2000,Deceased
+P102579,35,Male,Current,38,17,Medium,Asbestos,Low,No,No,14.2,Low,Moderate,Average,West,Low,Secondary,Poor,Regularly,No,None,2014,Alive
+P102580,29,Male,Former,5,21,High,None,Moderate,No,No,23.6,Moderate,None,Poor,West,High,Secondary,Average,Occasionally,Yes,None,2004,Alive
+P102581,80,Male,Never,1,18,High,Silica,Moderate,No,No,37.3,Moderate,Moderate,Poor,North,High,Secondary,Good,Regularly,No,Stage III,2006,Alive
+P102582,44,Male,Current,12,0,High,Asbestos,High,No,Yes,20.2,Low,None,Poor,West,Middle,Primary,Average,Never,No,None,2016,Deceased
+P102583,65,Female,Never,43,23,Medium,Silica,Moderate,No,No,25.9,Moderate,None,Good,West,Middle,Tertiary,Average,Regularly,Yes,None,2019,Alive
+P102584,70,Male,Former,46,35,Low,Asbestos,High,No,No,16.6,Moderate,Moderate,Good,North,Low,Secondary,Average,Regularly,No,None,2005,Alive
+P102585,36,Female,Former,8,24,Medium,Diesel Fumes,High,No,No,22.4,Low,Moderate,Good,North,Low,Primary,Average,Occasionally,Yes,None,2012,Alive
+P102586,41,Female,Former,33,35,Low,Asbestos,High,No,No,18.7,High,None,Average,South,Middle,Primary,Average,Regularly,No,None,2023,Deceased
+P102587,43,Female,Current,16,30,Medium,Asbestos,Moderate,Yes,No,27.1,Moderate,High,Average,West,High,Secondary,Average,Regularly,Yes,None,2022,Alive
+P102588,50,Male,Current,26,30,Medium,Asbestos,Moderate,Yes,No,26.1,High,High,Average,North,High,Secondary,Poor,Occasionally,No,None,2014,Deceased
+P102589,72,Female,Current,28,1,High,Diesel Fumes,High,Yes,No,18.5,Moderate,None,Poor,South,Middle,Primary,Good,Regularly,No,Stage IV,2006,Alive
+P102590,76,Male,Never,36,18,Medium,Silica,Low,Yes,No,25.4,High,Moderate,Poor,South,Middle,Secondary,Poor,Never,No,None,2023,Alive
+P102591,79,Male,Never,42,11,Low,Diesel Fumes,Low,No,No,25.6,Moderate,Moderate,Average,East,High,Secondary,Good,Occasionally,No,Stage IV,2006,Alive
+P102592,57,Male,Former,21,9,Medium,Asbestos,Moderate,Yes,No,25.9,High,None,Good,North,High,Tertiary,Poor,Never,No,Stage III,2012,Alive
+P102593,86,Female,Current,23,30,Medium,None,High,Yes,No,29.3,High,Moderate,Poor,East,Low,Tertiary,Good,Occasionally,No,None,2003,Alive
+P102594,47,Male,Current,6,21,Low,Diesel Fumes,High,No,No,32.8,Moderate,None,Good,South,Middle,Secondary,Good,Regularly,No,None,2021,Alive
+P102595,39,Male,Current,33,22,High,None,Moderate,Yes,No,21.9,High,None,Poor,West,Middle,Tertiary,Poor,Never,No,None,2017,Alive
+P102596,51,Male,Former,47,22,Low,Diesel Fumes,Low,Yes,No,23.5,Low,None,Poor,North,Middle,Tertiary,Poor,Never,No,None,2007,Alive
+P102597,88,Female,Former,11,14,Low,Diesel Fumes,Moderate,Yes,Yes,24.1,Low,Moderate,Good,North,High,Secondary,Good,Never,No,None,2018,Alive
+P102598,75,Female,Former,22,25,Low,Asbestos,Moderate,Yes,No,18.5,Low,High,Average,South,Low,Primary,Average,Regularly,No,None,2015,Alive
+P102599,77,Female,Never,14,2,Medium,Silica,High,Yes,No,20.0,High,None,Good,North,High,Primary,Good,Never,Yes,None,2019,Alive
+P102600,75,Male,Never,32,22,Medium,Silica,Moderate,No,No,27.8,Moderate,Moderate,Average,South,Middle,Primary,Average,Never,Yes,None,2017,Alive
+P102601,71,Female,Current,12,19,Low,Asbestos,Low,No,Yes,34.6,High,High,Average,North,Middle,Primary,Good,Regularly,No,None,2015,Alive
+P102602,28,Male,Never,22,39,Low,Diesel Fumes,Moderate,No,No,19.8,Moderate,None,Poor,North,Middle,Tertiary,Average,Regularly,No,None,2015,Alive
+P102603,31,Male,Never,37,38,High,Silica,High,Yes,Yes,36.5,High,High,Poor,West,Middle,Tertiary,Poor,Regularly,No,None,2024,Alive
+P102604,59,Female,Never,31,7,Medium,Silica,Low,Yes,No,22.2,Moderate,Moderate,Poor,South,Middle,Secondary,Poor,Never,No,None,2001,Deceased
+P102605,72,Male,Current,44,17,Medium,Silica,High,Yes,No,31.1,High,High,Average,East,High,Secondary,Average,Never,No,None,2013,Alive
+P102606,69,Female,Former,49,5,Medium,Asbestos,Moderate,No,No,27.1,High,High,Average,West,Low,Primary,Average,Never,Yes,None,2021,Alive
+P102607,43,Male,Current,34,26,Medium,None,Moderate,Yes,No,26.0,Low,Moderate,Good,South,Middle,Primary,Average,Occasionally,Yes,None,2018,Alive
+P102608,87,Female,Current,0,35,Low,None,Moderate,Yes,No,22.9,High,None,Poor,North,Middle,Secondary,Average,Never,No,None,2015,Deceased
+P102609,62,Male,Former,46,14,Low,None,High,Yes,No,25.1,Low,Moderate,Poor,South,Middle,Secondary,Poor,Never,Yes,None,2021,Alive
+P102610,83,Male,Current,44,36,High,None,Moderate,Yes,No,21.4,Moderate,Moderate,Average,South,High,Primary,Good,Occasionally,No,None,2003,Deceased
+P102611,37,Male,Never,4,4,Medium,None,Low,No,No,29.7,Moderate,None,Poor,West,High,Tertiary,Poor,Occasionally,No,None,2012,Alive
+P102612,71,Male,Never,12,38,Medium,Silica,Low,No,No,30.6,Low,None,Average,South,Middle,Tertiary,Good,Never,No,None,2007,Alive
+P102613,85,Male,Current,4,8,Low,Silica,High,Yes,No,21.7,High,Moderate,Good,North,Middle,Tertiary,Poor,Occasionally,Yes,None,2002,Deceased
+P102614,55,Female,Current,31,6,High,Diesel Fumes,High,No,No,16.8,Moderate,None,Good,East,Middle,Tertiary,Average,Never,Yes,None,2023,Alive
+P102615,46,Male,Former,20,19,Low,Silica,High,No,No,23.4,High,None,Poor,East,Middle,Tertiary,Poor,Regularly,Yes,None,2002,Alive
+P102616,67,Female,Former,23,9,Medium,Asbestos,Moderate,No,No,34.9,High,Moderate,Good,North,Middle,Secondary,Poor,Regularly,No,None,2004,Deceased
+P102617,78,Female,Former,17,25,Medium,Diesel Fumes,Low,Yes,No,26.2,High,Moderate,Poor,East,High,Secondary,Average,Regularly,No,None,2010,Alive
+P102618,34,Female,Never,20,3,High,Silica,Low,No,No,30.8,Moderate,Moderate,Poor,West,Middle,Primary,Average,Regularly,No,None,2012,Alive
+P102619,66,Male,Never,9,37,Low,Diesel Fumes,Low,No,No,20.4,Moderate,Moderate,Average,South,Middle,Secondary,Poor,Occasionally,No,None,2001,Deceased
+P102620,88,Male,Never,23,23,Medium,Diesel Fumes,High,Yes,No,22.6,High,High,Average,South,Middle,Secondary,Poor,Never,No,None,2005,Alive
+P102621,45,Male,Never,39,13,Medium,None,High,No,Yes,23.4,Low,High,Poor,East,High,Secondary,Good,Occasionally,Yes,None,2006,Alive
+P102622,65,Female,Current,46,0,High,Diesel Fumes,Moderate,No,No,19.1,Low,None,Good,East,Middle,Secondary,Good,Regularly,No,None,2023,Alive
+P102623,48,Male,Never,20,16,Medium,Silica,High,No,No,25.8,Low,High,Good,East,High,Primary,Poor,Regularly,No,None,2003,Alive
+P102624,59,Male,Never,24,23,Medium,None,Low,Yes,No,20.9,High,High,Poor,West,Low,Secondary,Good,Never,No,None,2008,Alive
+P102625,80,Female,Former,22,26,Low,Silica,Moderate,Yes,No,29.7,Low,High,Poor,South,High,Secondary,Average,Occasionally,No,None,2017,Alive
+P102626,54,Female,Current,21,6,High,None,High,No,No,25.4,Moderate,None,Good,South,Middle,Primary,Poor,Regularly,No,None,2013,Deceased
+P102627,81,Female,Never,3,8,High,Silica,High,Yes,No,32.4,Low,High,Good,North,High,Secondary,Poor,Occasionally,Yes,None,2023,Deceased
+P102628,71,Female,Never,33,34,High,None,Low,Yes,Yes,16.6,Low,Moderate,Average,North,Middle,Primary,Good,Never,No,Stage III,2005,Alive
+P102629,59,Female,Former,5,11,Low,None,Moderate,Yes,No,22.3,High,Moderate,Average,West,High,Tertiary,Poor,Never,No,None,2019,Alive
+P102630,43,Female,Current,27,20,High,Asbestos,High,No,No,23.0,Moderate,None,Good,South,High,Tertiary,Poor,Occasionally,No,None,2001,Alive
+P102631,32,Male,Former,30,2,Medium,Silica,High,No,No,27.3,Moderate,None,Average,South,Low,Secondary,Average,Never,No,None,2003,Alive
+P102632,50,Female,Current,34,14,High,Diesel Fumes,Moderate,Yes,No,22.9,Low,None,Average,North,High,Secondary,Poor,Occasionally,No,None,2014,Alive
+P102633,54,Male,Current,38,20,Medium,None,Moderate,No,No,33.6,High,High,Poor,North,Low,Secondary,Good,Occasionally,No,None,2002,Alive
+P102634,31,Male,Current,41,9,High,Silica,High,Yes,No,24.1,High,None,Average,South,Low,Secondary,Average,Occasionally,No,None,2003,Deceased
+P102635,89,Male,Current,22,32,High,None,High,Yes,No,20.5,Low,None,Average,West,High,Tertiary,Good,Regularly,Yes,None,2003,Alive
+P102636,60,Female,Former,5,5,Low,Asbestos,Low,No,No,24.2,Moderate,None,Poor,East,High,Tertiary,Poor,Regularly,Yes,None,2014,Alive
+P102637,49,Male,Never,15,1,High,Asbestos,Moderate,Yes,No,23.4,Moderate,Moderate,Good,West,High,Secondary,Good,Occasionally,No,None,2010,Alive
+P102638,61,Female,Current,1,28,High,Asbestos,High,Yes,No,29.6,Moderate,None,Average,South,Low,Primary,Good,Never,No,Stage III,2022,Alive
+P102639,25,Female,Former,23,39,Low,Asbestos,High,Yes,No,22.9,High,Moderate,Average,East,Middle,Primary,Average,Never,No,None,2016,Deceased
+P102640,39,Male,Never,16,32,Medium,Diesel Fumes,High,Yes,Yes,17.4,Low,Moderate,Good,West,Middle,Tertiary,Poor,Regularly,No,Stage I,2014,Deceased
+P102641,61,Female,Current,44,3,High,Diesel Fumes,High,No,Yes,25.9,High,None,Average,West,Low,Primary,Average,Occasionally,No,None,2024,Alive
+P102642,37,Male,Never,0,3,High,None,Low,Yes,No,21.7,Moderate,None,Good,South,Low,Secondary,Poor,Regularly,Yes,Stage II,2020,Alive
+P102643,32,Male,Former,5,28,Medium,Silica,Moderate,No,No,19.2,High,High,Poor,North,High,Secondary,Average,Occasionally,No,Stage I,2002,Alive
+P102644,29,Female,Former,4,36,Low,Asbestos,High,Yes,No,25.1,Moderate,None,Good,West,High,Secondary,Poor,Never,No,None,2022,Alive
+P102645,84,Male,Former,44,19,High,Asbestos,Moderate,No,No,24.3,Low,None,Good,West,Middle,Secondary,Average,Never,No,None,2022,Alive
+P102646,25,Male,Current,49,22,Low,Diesel Fumes,Moderate,Yes,No,23.9,Moderate,None,Good,North,Middle,Secondary,Poor,Regularly,No,None,2023,Deceased
+P102647,60,Male,Never,28,17,Medium,Diesel Fumes,High,Yes,No,26.3,Low,None,Poor,West,Middle,Primary,Average,Never,No,None,2009,Alive
+P102648,59,Female,Former,11,24,Medium,Asbestos,High,No,No,22.1,High,None,Good,West,High,Primary,Good,Occasionally,No,Stage III,2003,Alive
+P102649,87,Male,Former,38,0,Low,Silica,High,No,No,25.6,High,None,Good,North,High,Tertiary,Average,Never,No,None,2012,Deceased
+P102650,47,Female,Current,46,14,Medium,None,Low,Yes,No,22.1,High,High,Poor,South,Low,Tertiary,Good,Never,No,None,2024,Deceased
+P102651,33,Female,Current,2,33,Medium,None,High,Yes,No,29.1,Moderate,High,Average,South,High,Primary,Average,Regularly,Yes,None,2001,Deceased
+P102652,58,Male,Former,47,19,High,None,Moderate,Yes,No,24.9,Low,None,Average,South,Middle,Primary,Good,Occasionally,Yes,None,2005,Alive
+P102653,70,Male,Current,0,36,Low,None,Moderate,Yes,No,33.7,High,High,Good,East,Low,Tertiary,Poor,Regularly,No,None,2018,Alive
+P102654,28,Female,Never,26,26,High,Silica,Low,Yes,Yes,22.5,High,Moderate,Poor,South,High,Secondary,Good,Regularly,No,None,2023,Alive
+P102655,54,Female,Current,47,21,Low,Silica,High,No,No,26.8,Low,High,Poor,East,Middle,Tertiary,Poor,Never,No,None,2007,Alive
+P102656,27,Male,Former,23,4,High,Silica,High,No,No,30.6,Moderate,Moderate,Good,East,High,Tertiary,Good,Occasionally,No,Stage I,2005,Alive
+P102657,38,Male,Current,43,33,Medium,Diesel Fumes,Low,Yes,No,27.7,High,None,Good,East,Low,Primary,Poor,Occasionally,No,None,2019,Alive
+P102658,84,Female,Never,18,38,Low,Asbestos,Low,No,No,25.7,Moderate,Moderate,Average,North,High,Tertiary,Good,Regularly,Yes,None,2013,Deceased
+P102659,69,Female,Never,7,2,Low,Silica,High,No,No,26.7,Moderate,None,Average,East,Middle,Tertiary,Average,Regularly,No,None,2007,Deceased
+P102660,58,Female,Former,43,16,Low,None,High,Yes,No,27.5,Moderate,High,Good,East,Low,Primary,Poor,Never,No,None,2005,Alive
+P102661,69,Female,Current,46,23,Low,Silica,Moderate,No,No,26.5,High,Moderate,Poor,North,Middle,Secondary,Poor,Occasionally,No,None,2011,Alive
+P102662,85,Female,Former,1,23,Medium,Asbestos,High,Yes,Yes,24.9,High,Moderate,Good,West,Low,Secondary,Good,Occasionally,No,Stage II,2008,Deceased
+P102663,40,Male,Current,29,2,Medium,Diesel Fumes,High,No,No,28.7,Low,Moderate,Poor,West,High,Secondary,Average,Never,No,None,2006,Alive
+P102664,64,Female,Former,29,6,Medium,None,Moderate,No,No,24.6,Low,None,Average,East,High,Primary,Poor,Regularly,Yes,None,2024,Alive
+P102665,41,Female,Former,48,24,High,Diesel Fumes,Moderate,No,No,20.1,Moderate,None,Good,South,Middle,Tertiary,Poor,Occasionally,No,None,2012,Alive
+P102666,58,Male,Never,38,2,Medium,Silica,Moderate,No,No,35.3,High,High,Poor,West,High,Secondary,Average,Never,No,None,2015,Deceased
+P102667,40,Male,Current,44,14,High,None,Moderate,No,No,29.4,Moderate,High,Average,South,Low,Tertiary,Average,Regularly,Yes,None,2007,Deceased
+P102668,84,Female,Never,31,28,High,None,Low,Yes,No,20.4,Low,None,Good,North,High,Primary,Average,Never,No,None,2013,Alive
+P102669,37,Female,Current,0,28,Medium,Silica,Moderate,No,No,23.8,Moderate,High,Good,West,High,Secondary,Poor,Occasionally,No,None,2015,Alive
+P102670,80,Male,Current,37,9,Medium,Silica,Low,Yes,No,22.2,Moderate,Moderate,Average,North,High,Secondary,Good,Regularly,No,None,2019,Alive
+P102671,55,Female,Current,12,31,Medium,Asbestos,Moderate,No,No,22.5,High,Moderate,Good,East,High,Tertiary,Good,Never,Yes,None,2005,Alive
+P102672,58,Female,Former,10,22,High,Silica,Moderate,No,No,29.3,Moderate,Moderate,Average,West,High,Secondary,Poor,Never,No,None,2022,Alive
+P102673,63,Male,Current,9,38,Low,Silica,Moderate,No,No,23.3,Moderate,High,Poor,East,High,Primary,Poor,Never,Yes,None,2003,Alive
+P102674,32,Female,Current,47,8,Medium,Silica,High,Yes,No,34.6,High,Moderate,Good,East,High,Tertiary,Poor,Occasionally,No,None,2003,Alive
+P102675,79,Male,Never,25,36,High,None,Low,No,No,16.2,High,Moderate,Average,North,High,Tertiary,Poor,Occasionally,No,None,2002,Alive
+P102676,51,Male,Current,19,39,High,Asbestos,Moderate,No,No,24.9,Low,None,Average,West,Middle,Secondary,Average,Occasionally,No,None,2009,Alive
+P102677,77,Male,Never,16,13,Medium,None,High,Yes,No,18.3,High,None,Poor,West,Middle,Secondary,Poor,Never,No,None,2005,Alive
+P102678,63,Male,Former,16,3,High,Silica,Low,Yes,No,26.6,Moderate,High,Good,West,High,Secondary,Poor,Occasionally,No,None,2017,Alive
+P102679,89,Female,Never,3,19,Medium,Asbestos,Low,Yes,No,27.2,Low,None,Average,East,Middle,Secondary,Poor,Never,No,None,2012,Alive
+P102680,41,Male,Never,4,27,High,Silica,High,No,No,29.5,Low,High,Average,West,High,Tertiary,Average,Never,No,Stage I,2010,Alive
+P102681,54,Female,Former,22,13,Low,None,Low,No,Yes,18.9,Low,High,Average,South,High,Tertiary,Average,Never,No,None,2003,Deceased
+P102682,77,Female,Former,45,33,High,None,High,No,No,27.2,Low,None,Good,South,High,Secondary,Average,Regularly,No,None,2007,Alive
+P102683,37,Female,Current,9,12,Medium,Silica,Moderate,No,Yes,20.6,Moderate,None,Good,East,Middle,Tertiary,Poor,Never,No,None,2002,Alive
+P102684,45,Female,Never,45,30,Low,Asbestos,High,Yes,No,25.5,Moderate,High,Poor,North,Low,Primary,Average,Occasionally,No,Stage III,2011,Alive
+P102685,43,Female,Former,27,32,Medium,None,Low,Yes,No,22.8,Moderate,High,Poor,South,High,Tertiary,Poor,Never,No,None,2012,Alive
+P102686,77,Male,Never,32,38,High,Silica,Low,No,No,18.7,Moderate,High,Poor,North,High,Primary,Poor,Occasionally,Yes,Stage III,2023,Alive
+P102687,43,Male,Former,42,27,Low,Diesel Fumes,Moderate,Yes,No,28.6,Low,Moderate,Good,West,Low,Primary,Good,Regularly,No,None,2022,Deceased
+P102688,81,Male,Current,25,24,Low,Silica,High,Yes,No,23.7,Moderate,Moderate,Average,South,Middle,Primary,Average,Regularly,No,None,2022,Alive
+P102689,49,Male,Former,49,31,High,Silica,Moderate,Yes,Yes,29.3,Low,None,Good,East,Low,Secondary,Good,Never,Yes,None,2010,Alive
+P102690,55,Female,Current,47,8,Low,Asbestos,High,No,No,29.6,High,Moderate,Good,East,High,Tertiary,Good,Occasionally,No,None,2008,Alive
+P102691,79,Male,Former,28,27,Low,Silica,High,Yes,No,31.6,Moderate,Moderate,Good,North,Low,Primary,Average,Regularly,Yes,Stage II,2003,Deceased
+P102692,47,Female,Current,26,30,Low,Diesel Fumes,High,No,No,22.5,High,High,Poor,East,High,Secondary,Average,Regularly,No,None,2010,Alive
+P102693,56,Female,Former,17,16,Medium,Silica,Moderate,No,No,20.4,High,Moderate,Average,North,Middle,Tertiary,Good,Regularly,No,None,2007,Alive
+P102694,86,Male,Former,39,22,Medium,Diesel Fumes,Moderate,No,No,31.0,Moderate,None,Good,North,Middle,Tertiary,Poor,Occasionally,No,None,2017,Alive
+P102695,34,Male,Current,9,12,Low,None,Low,Yes,No,25.5,Low,Moderate,Poor,South,Middle,Secondary,Good,Never,No,Stage IV,2002,Alive
+P102696,78,Male,Never,41,9,High,Silica,Moderate,Yes,No,31.7,High,Moderate,Good,South,High,Tertiary,Average,Never,No,None,2003,Alive
+P102697,76,Male,Current,4,15,High,Asbestos,High,Yes,No,19.1,Moderate,Moderate,Average,East,Middle,Secondary,Poor,Regularly,No,None,2024,Deceased
+P102698,44,Female,Current,9,5,Medium,Silica,High,Yes,No,28.4,High,None,Poor,North,Low,Secondary,Good,Never,No,None,2016,Alive
+P102699,56,Female,Former,49,10,High,Diesel Fumes,High,No,No,25.2,High,None,Good,South,Middle,Secondary,Good,Regularly,Yes,Stage I,2015,Deceased
+P102700,38,Male,Never,20,2,Low,Diesel Fumes,Moderate,No,No,24.8,Moderate,High,Poor,West,High,Tertiary,Good,Occasionally,No,None,2006,Deceased
+P102701,74,Female,Never,23,27,High,Asbestos,Low,No,No,23.4,High,Moderate,Average,East,Low,Secondary,Average,Never,No,None,2001,Alive
+P102702,52,Female,Current,37,14,Medium,Diesel Fumes,Moderate,Yes,No,19.4,Low,High,Average,East,Low,Secondary,Good,Occasionally,No,None,2004,Alive
+P102703,77,Female,Current,2,12,Medium,Silica,Low,Yes,No,28.3,Low,High,Poor,West,Low,Tertiary,Average,Never,Yes,None,2000,Alive
+P102704,48,Male,Never,39,16,Low,Diesel Fumes,Moderate,Yes,No,23.0,High,None,Good,West,Low,Primary,Poor,Occasionally,No,None,2021,Alive
+P102705,46,Female,Former,30,6,Medium,Silica,High,No,No,26.1,High,High,Average,West,High,Secondary,Poor,Occasionally,No,Stage III,2012,Deceased
+P102706,54,Male,Former,40,27,Medium,Silica,Low,No,No,34.7,Moderate,Moderate,Average,South,Middle,Secondary,Good,Never,No,None,2011,Alive
+P102707,87,Male,Current,36,37,Medium,Diesel Fumes,Moderate,Yes,No,22.3,Low,High,Good,West,Low,Primary,Average,Regularly,No,Stage IV,2018,Alive
+P102708,28,Female,Never,1,12,High,Asbestos,High,No,No,23.5,High,None,Poor,East,Middle,Tertiary,Good,Regularly,Yes,None,2021,Alive
+P102709,83,Female,Never,1,16,Medium,None,Low,No,No,24.2,Low,None,Poor,South,Middle,Tertiary,Poor,Occasionally,No,None,2007,Deceased
+P102710,32,Male,Current,38,14,High,Asbestos,Low,Yes,No,23.0,High,None,Good,North,Middle,Tertiary,Average,Occasionally,No,None,2007,Alive
+P102711,36,Female,Never,48,35,Medium,None,High,Yes,No,23.2,Moderate,Moderate,Average,West,Middle,Secondary,Poor,Regularly,No,None,2011,Alive
+P102712,55,Female,Never,41,27,Medium,Asbestos,High,No,No,28.5,Moderate,High,Average,East,High,Primary,Poor,Never,No,Stage III,2003,Deceased
+P102713,58,Male,Current,43,14,High,Silica,Moderate,Yes,No,31.6,Low,Moderate,Good,West,Low,Tertiary,Average,Never,Yes,Stage IV,2006,Deceased
+P102714,73,Male,Current,33,10,High,Silica,Moderate,No,No,25.6,Low,None,Good,North,Low,Primary,Average,Occasionally,No,Stage I,2015,Alive
+P102715,81,Male,Never,41,30,Low,Diesel Fumes,High,Yes,No,28.7,High,Moderate,Poor,South,Middle,Tertiary,Average,Never,No,None,2021,Alive
+P102716,50,Male,Never,19,3,Low,None,Moderate,No,Yes,24.1,High,None,Poor,North,Low,Secondary,Good,Occasionally,Yes,None,2017,Alive
+P102717,42,Female,Never,32,34,High,None,High,Yes,No,24.0,High,Moderate,Good,South,Middle,Tertiary,Good,Never,No,None,2005,Alive
+P102718,62,Female,Never,3,33,Medium,Diesel Fumes,High,Yes,No,23.0,Low,Moderate,Average,East,High,Primary,Average,Occasionally,Yes,Stage I,2017,Alive
+P102719,74,Male,Current,44,26,Low,Asbestos,Moderate,Yes,No,21.2,Moderate,High,Poor,East,Low,Primary,Average,Never,No,None,2003,Deceased
+P102720,32,Male,Former,43,9,High,Diesel Fumes,Moderate,No,No,31.2,Moderate,High,Good,East,Middle,Primary,Good,Occasionally,No,None,2020,Alive
+P102721,65,Male,Current,10,29,High,Asbestos,Low,No,No,22.5,Low,None,Average,North,Low,Secondary,Average,Regularly,Yes,None,2008,Alive
+P102722,30,Female,Current,41,19,Medium,Diesel Fumes,Low,Yes,No,28.1,Moderate,High,Poor,West,Middle,Tertiary,Poor,Regularly,No,None,2012,Alive
+P102723,68,Male,Former,46,28,High,None,Moderate,No,No,20.8,Low,High,Good,West,Low,Secondary,Average,Regularly,No,None,2018,Alive
+P102724,88,Female,Never,4,28,Low,None,Moderate,No,No,25.2,High,Moderate,Good,North,High,Secondary,Good,Regularly,No,None,2011,Alive
+P102725,53,Male,Former,24,22,Medium,Asbestos,Moderate,Yes,No,25.0,Low,None,Average,West,Low,Primary,Average,Occasionally,No,Stage IV,2015,Alive
+P102726,52,Male,Current,48,20,High,None,Low,Yes,No,20.9,Moderate,Moderate,Average,North,High,Primary,Average,Never,No,None,2004,Alive
+P102727,35,Male,Current,36,9,High,None,Moderate,Yes,No,23.3,Low,Moderate,Good,West,High,Secondary,Poor,Occasionally,No,None,2001,Alive
+P102728,89,Female,Never,33,11,Medium,None,Low,No,No,19.7,Low,High,Average,South,Middle,Secondary,Average,Occasionally,No,None,2002,Alive
+P102729,43,Female,Current,8,29,Medium,None,Low,Yes,No,25.1,Low,High,Good,East,Middle,Tertiary,Good,Occasionally,No,None,2012,Alive
+P102730,33,Female,Former,5,32,Medium,Silica,Low,No,No,16.2,Low,None,Average,West,Low,Primary,Good,Never,No,None,2020,Deceased
+P102731,51,Male,Current,17,17,Low,Diesel Fumes,Low,No,No,24.7,Moderate,High,Average,North,High,Primary,Poor,Occasionally,No,None,2006,Alive
+P102732,58,Female,Never,13,13,Low,Diesel Fumes,High,No,No,28.3,High,Moderate,Poor,South,Middle,Primary,Poor,Regularly,No,None,2012,Alive
+P102733,68,Female,Former,18,21,High,Silica,Moderate,Yes,No,24.9,Moderate,High,Poor,West,High,Tertiary,Good,Regularly,No,None,2015,Deceased
+P102734,39,Male,Current,13,20,High,None,Moderate,Yes,No,21.5,Moderate,None,Average,West,High,Tertiary,Average,Occasionally,No,None,2021,Alive
+P102735,75,Male,Former,39,0,Medium,Diesel Fumes,High,No,No,21.8,High,None,Good,North,High,Primary,Good,Regularly,Yes,None,2013,Alive
+P102736,37,Female,Former,16,14,High,Diesel Fumes,Moderate,No,No,31.0,Moderate,Moderate,Average,South,Low,Primary,Poor,Regularly,No,Stage III,2017,Deceased
+P102737,73,Female,Never,34,35,High,Diesel Fumes,Low,Yes,No,25.8,High,Moderate,Poor,East,High,Secondary,Good,Never,No,Stage III,2012,Deceased
+P102738,80,Female,Never,28,21,Medium,Asbestos,High,Yes,No,29.2,High,High,Good,North,High,Secondary,Poor,Occasionally,No,None,2013,Alive
+P102739,75,Female,Former,41,31,Low,Silica,Low,Yes,No,29.7,Low,None,Average,West,Low,Tertiary,Good,Occasionally,No,Stage I,2008,Alive
+P102740,61,Male,Current,16,32,Low,Asbestos,High,Yes,No,22.8,Moderate,Moderate,Average,East,Low,Primary,Average,Regularly,No,None,2007,Deceased
+P102741,41,Male,Never,42,38,Low,Asbestos,Low,Yes,No,20.0,High,High,Average,West,Middle,Secondary,Average,Occasionally,Yes,Stage I,2024,Alive
+P102742,82,Male,Former,7,22,High,Silica,Moderate,Yes,No,28.2,Moderate,High,Average,North,High,Secondary,Poor,Occasionally,Yes,None,2024,Alive
+P102743,53,Female,Current,0,1,Medium,Diesel Fumes,Moderate,Yes,No,20.7,Moderate,High,Poor,South,High,Primary,Average,Regularly,No,None,2004,Alive
+P102744,57,Female,Never,44,1,Low,Asbestos,Moderate,Yes,No,22.0,High,Moderate,Poor,East,Low,Primary,Poor,Regularly,No,Stage II,2022,Alive
+P102745,84,Male,Former,35,37,High,Diesel Fumes,High,Yes,No,25.5,Low,Moderate,Poor,North,Low,Secondary,Average,Occasionally,No,None,2006,Alive
+P102746,79,Male,Current,6,28,Medium,Asbestos,Moderate,No,No,23.7,High,High,Poor,North,Middle,Primary,Good,Never,Yes,None,2015,Alive
+P102747,34,Female,Current,45,2,Low,Diesel Fumes,High,Yes,No,13.4,Low,High,Good,East,Low,Primary,Average,Regularly,No,None,2009,Alive
+P102748,71,Female,Current,4,38,Low,None,Low,Yes,No,18.8,High,Moderate,Good,South,Low,Tertiary,Good,Occasionally,Yes,Stage III,2024,Alive
+P102749,47,Male,Current,23,6,Medium,None,Moderate,No,No,30.0,High,None,Good,West,Low,Secondary,Poor,Regularly,No,None,2024,Alive
+P102750,45,Male,Never,27,35,High,None,Low,Yes,No,24.6,Low,High,Average,East,Low,Secondary,Average,Occasionally,No,None,2021,Alive
+P102751,37,Male,Current,42,28,High,Silica,Moderate,Yes,No,28.7,Low,None,Good,North,Middle,Tertiary,Average,Occasionally,No,None,2002,Alive
+P102752,57,Female,Never,16,36,Low,None,Low,No,Yes,20.9,Moderate,None,Poor,East,High,Tertiary,Good,Never,No,Stage III,2023,Alive
+P102753,48,Female,Current,36,35,Medium,Asbestos,High,Yes,No,19.4,High,Moderate,Poor,East,High,Secondary,Poor,Regularly,Yes,None,2016,Alive
+P102754,35,Female,Never,19,22,High,Diesel Fumes,Moderate,No,No,28.6,Moderate,Moderate,Average,South,High,Secondary,Average,Never,No,None,2009,Alive
+P102755,41,Female,Current,2,15,Medium,Diesel Fumes,High,No,No,31.5,Moderate,None,Good,South,High,Primary,Poor,Regularly,No,None,2010,Alive
+P102756,71,Female,Current,36,30,Medium,Diesel Fumes,High,Yes,No,20.6,Low,Moderate,Average,West,High,Primary,Poor,Never,No,None,2019,Alive
+P102757,49,Female,Current,25,33,Low,Diesel Fumes,Low,No,No,30.1,Low,None,Average,East,Low,Secondary,Average,Regularly,Yes,None,2009,Alive
+P102758,45,Male,Never,14,0,Medium,Asbestos,Moderate,No,No,20.1,Moderate,None,Good,South,High,Primary,Good,Never,No,None,2017,Alive
+P102759,36,Male,Former,47,17,Medium,Diesel Fumes,High,No,No,16.8,Low,Moderate,Average,South,Low,Primary,Poor,Never,No,None,2020,Alive
+P102760,61,Female,Current,7,39,Medium,Asbestos,Low,No,No,27.9,High,Moderate,Good,North,High,Primary,Poor,Regularly,No,None,2022,Alive
+P102761,66,Male,Current,12,14,High,Asbestos,Low,Yes,No,20.2,Low,High,Good,South,High,Tertiary,Average,Never,No,None,2000,Alive
+P102762,41,Female,Never,47,16,Low,Diesel Fumes,Low,No,No,18.9,Low,Moderate,Average,East,Low,Secondary,Poor,Never,No,Stage I,2003,Deceased
+P102763,72,Male,Current,2,9,Low,Diesel Fumes,Moderate,No,No,19.1,High,High,Poor,East,High,Secondary,Average,Regularly,No,None,2002,Alive
+P102764,52,Female,Current,0,19,Medium,Diesel Fumes,Moderate,Yes,No,23.3,Low,Moderate,Good,North,Low,Secondary,Poor,Regularly,No,None,2019,Alive
+P102765,65,Male,Never,8,5,Medium,Asbestos,Low,No,No,16.5,Moderate,Moderate,Poor,North,Middle,Primary,Good,Occasionally,No,None,2005,Alive
+P102766,71,Male,Current,30,7,High,Silica,Moderate,Yes,No,28.0,Moderate,Moderate,Poor,North,Middle,Primary,Good,Regularly,Yes,None,2005,Alive
+P102767,42,Female,Former,40,33,Low,Asbestos,Low,No,No,27.4,Moderate,Moderate,Good,East,Middle,Tertiary,Good,Occasionally,No,None,2016,Alive
+P102768,37,Female,Former,25,31,High,Silica,Moderate,Yes,No,27.4,Low,None,Poor,East,High,Tertiary,Good,Never,Yes,Stage IV,2018,Deceased
+P102769,37,Male,Former,16,3,Low,Diesel Fumes,Moderate,No,No,31.0,Low,Moderate,Average,West,High,Secondary,Average,Regularly,No,None,2016,Alive
+P102770,55,Male,Former,33,38,High,Asbestos,Low,Yes,No,29.9,Low,None,Average,South,High,Tertiary,Average,Occasionally,No,None,2016,Alive
+P102771,26,Female,Current,8,19,Medium,Diesel Fumes,Low,No,Yes,20.5,Moderate,Moderate,Poor,North,High,Tertiary,Average,Regularly,No,None,2016,Alive
+P102772,40,Male,Former,12,23,High,Silica,Moderate,Yes,No,28.4,Low,Moderate,Average,South,Low,Primary,Average,Occasionally,No,None,2002,Alive
+P102773,33,Female,Current,4,23,Medium,Silica,Low,Yes,No,30.6,High,None,Good,South,Middle,Secondary,Average,Occasionally,Yes,Stage IV,2013,Alive
+P102774,62,Female,Current,40,25,Low,Asbestos,Low,Yes,No,29.1,Low,Moderate,Good,West,Low,Secondary,Good,Regularly,No,None,2001,Alive
+P102775,78,Male,Current,12,24,Low,Asbestos,Low,Yes,No,29.4,Moderate,High,Poor,East,Middle,Tertiary,Poor,Never,Yes,None,2003,Alive
+P102776,80,Female,Never,0,35,Medium,Asbestos,Low,Yes,No,24.2,High,High,Average,South,Middle,Primary,Poor,Never,Yes,Stage II,2022,Alive
+P102777,69,Male,Current,24,6,Low,Asbestos,Moderate,No,No,21.8,High,Moderate,Poor,North,Low,Tertiary,Good,Occasionally,Yes,None,2017,Alive
+P102778,58,Male,Former,46,9,High,None,High,No,No,23.8,Moderate,High,Average,North,Low,Tertiary,Good,Occasionally,No,Stage I,2001,Alive
+P102779,33,Female,Never,3,11,Medium,None,Moderate,Yes,No,21.5,High,High,Good,East,Low,Secondary,Average,Never,No,None,2011,Alive
+P102780,32,Male,Never,35,0,Low,Diesel Fumes,Low,Yes,No,30.0,High,High,Average,East,Middle,Primary,Average,Regularly,No,None,2014,Deceased
+P102781,31,Female,Former,9,24,High,Silica,Low,No,No,25.9,High,High,Average,East,Low,Tertiary,Poor,Regularly,No,None,2012,Alive
+P102782,60,Female,Current,27,15,High,Silica,Moderate,No,No,29.1,High,None,Poor,North,High,Tertiary,Poor,Never,No,None,2010,Deceased
+P102783,42,Female,Former,5,4,Low,Diesel Fumes,Low,Yes,No,17.8,High,None,Good,East,Low,Primary,Average,Never,Yes,None,2006,Alive
+P102784,27,Male,Current,26,18,Low,Diesel Fumes,Moderate,No,No,22.8,Low,None,Average,West,Middle,Tertiary,Average,Never,No,None,2008,Alive
+P102785,52,Female,Never,11,3,High,Diesel Fumes,High,Yes,No,19.9,Moderate,High,Good,West,Middle,Secondary,Good,Occasionally,No,None,2014,Alive
+P102786,68,Male,Former,47,5,Medium,None,Low,Yes,No,16.9,Moderate,High,Average,North,Low,Tertiary,Average,Never,No,None,2002,Alive
+P102787,45,Female,Current,2,25,Low,Diesel Fumes,High,Yes,No,26.5,Low,None,Good,West,Low,Secondary,Good,Never,No,Stage I,2009,Alive
+P102788,52,Female,Current,45,38,Low,Silica,High,No,No,19.7,Low,High,Average,South,Middle,Secondary,Average,Never,No,Stage III,2007,Alive
+P102789,78,Female,Never,32,38,Medium,Diesel Fumes,Low,Yes,No,23.1,Moderate,None,Good,East,Middle,Secondary,Poor,Never,No,None,2005,Alive
+P102790,78,Male,Former,9,8,Medium,Asbestos,Low,No,No,20.1,Moderate,None,Average,West,Low,Secondary,Good,Regularly,No,Stage IV,2013,Alive
+P102791,89,Male,Never,30,13,Low,Silica,Moderate,No,Yes,23.0,Low,None,Good,East,High,Secondary,Poor,Regularly,No,None,2005,Alive
+P102792,45,Female,Former,14,8,Medium,Silica,Moderate,No,No,27.9,Low,High,Average,West,High,Secondary,Good,Never,Yes,None,2018,Alive
+P102793,37,Female,Current,6,14,High,Silica,Low,No,No,20.2,High,None,Average,East,High,Tertiary,Good,Occasionally,Yes,None,2008,Deceased
+P102794,81,Male,Current,35,36,High,None,Moderate,Yes,No,22.7,Low,Moderate,Good,North,Middle,Primary,Poor,Occasionally,No,None,2008,Alive
+P102795,73,Male,Never,13,19,High,None,High,Yes,No,27.6,Low,None,Poor,South,High,Tertiary,Poor,Regularly,No,None,2019,Deceased
+P102796,78,Male,Current,47,7,Low,Silica,High,No,No,28.4,High,None,Average,East,High,Primary,Average,Occasionally,No,Stage II,2015,Alive
+P102797,34,Female,Former,13,31,Medium,Asbestos,Low,Yes,No,23.0,High,Moderate,Average,South,Low,Tertiary,Good,Occasionally,No,None,2012,Deceased
+P102798,77,Male,Former,2,20,High,Silica,Moderate,No,No,26.5,Moderate,High,Poor,East,Low,Primary,Average,Regularly,No,None,2012,Alive
+P102799,68,Female,Former,48,18,Medium,None,Low,Yes,No,29.1,Moderate,None,Average,North,High,Tertiary,Good,Never,No,None,2011,Deceased
+P102800,71,Male,Current,45,28,High,Asbestos,High,Yes,No,19.7,Low,Moderate,Good,South,Middle,Secondary,Average,Never,Yes,None,2021,Alive
+P102801,77,Female,Former,49,30,Medium,Silica,Low,Yes,No,21.4,High,High,Poor,West,High,Primary,Poor,Regularly,No,None,2020,Alive
+P102802,70,Female,Former,2,5,High,None,Low,Yes,No,23.1,High,Moderate,Average,South,Low,Tertiary,Poor,Never,No,None,2019,Alive
+P102803,37,Female,Former,21,3,High,Asbestos,Low,Yes,No,27.2,Moderate,None,Good,East,Low,Secondary,Average,Never,No,None,2001,Alive
+P102804,61,Male,Never,18,28,High,Diesel Fumes,Low,Yes,No,25.9,Moderate,Moderate,Good,South,Low,Tertiary,Poor,Regularly,No,None,2003,Alive
+P102805,48,Male,Current,34,2,High,Diesel Fumes,High,No,No,25.3,Low,High,Poor,North,High,Primary,Average,Regularly,No,None,2006,Alive
+P102806,26,Male,Former,11,0,High,Silica,Low,Yes,Yes,19.9,High,None,Poor,South,Middle,Tertiary,Good,Regularly,No,None,2018,Alive
+P102807,38,Female,Never,4,14,High,Diesel Fumes,Low,Yes,No,29.4,Moderate,Moderate,Poor,South,High,Tertiary,Good,Occasionally,No,Stage I,2002,Alive
+P102808,34,Female,Current,9,20,High,None,Moderate,Yes,No,22.5,Low,High,Good,South,Low,Secondary,Poor,Regularly,Yes,None,2010,Alive
+P102809,59,Male,Current,40,30,High,Asbestos,Low,No,No,23.7,Low,High,Average,West,Low,Secondary,Poor,Regularly,No,None,2018,Alive
+P102810,49,Female,Current,32,6,High,Silica,Moderate,Yes,Yes,26.0,Low,None,Good,South,Low,Secondary,Poor,Regularly,No,None,2024,Alive
+P102811,27,Female,Former,12,16,Medium,Asbestos,Low,Yes,No,34.9,Moderate,None,Good,East,Low,Primary,Good,Regularly,Yes,None,2013,Alive
+P102812,41,Female,Never,34,18,Medium,Asbestos,Moderate,Yes,No,21.8,Moderate,None,Poor,East,High,Secondary,Average,Never,No,None,2016,Alive
+P102813,36,Male,Former,31,38,Low,Asbestos,Low,No,No,21.5,Moderate,None,Average,South,High,Primary,Poor,Regularly,No,None,2004,Alive
+P102814,78,Female,Never,10,2,High,None,Moderate,Yes,No,23.1,Moderate,Moderate,Good,South,Middle,Secondary,Average,Regularly,Yes,None,2024,Alive
+P102815,48,Male,Current,47,29,Medium,Silica,Low,No,No,30.8,Moderate,High,Poor,West,Low,Secondary,Poor,Occasionally,No,None,2013,Alive
+P102816,53,Male,Never,37,34,Medium,Diesel Fumes,Low,No,No,25.7,High,None,Poor,North,High,Secondary,Poor,Occasionally,No,None,2006,Alive
+P102817,67,Male,Never,23,28,Medium,Asbestos,Moderate,Yes,Yes,26.9,High,None,Average,East,High,Secondary,Poor,Never,No,None,2011,Alive
+P102818,49,Male,Former,34,13,Medium,Asbestos,Low,Yes,No,29.0,High,None,Average,West,Low,Primary,Average,Regularly,No,None,2016,Alive
+P102819,84,Male,Former,18,34,Medium,Asbestos,Low,No,No,30.6,High,Moderate,Poor,East,High,Primary,Average,Regularly,No,Stage IV,2019,Alive
+P102820,89,Female,Current,5,27,Medium,None,Low,No,No,21.7,Low,High,Average,East,Low,Primary,Average,Regularly,No,Stage I,2021,Deceased
+P102821,52,Male,Former,39,29,Low,Diesel Fumes,Low,Yes,No,27.6,Low,High,Average,South,Middle,Secondary,Good,Occasionally,Yes,None,2020,Deceased
+P102822,40,Male,Never,44,25,Medium,Asbestos,High,Yes,No,30.8,High,None,Good,East,Low,Secondary,Good,Never,No,None,2017,Alive
+P102823,71,Male,Never,43,6,Low,None,Low,No,No,26.0,Moderate,High,Average,North,Low,Secondary,Good,Occasionally,Yes,None,2000,Alive
+P102824,82,Female,Former,41,38,Low,None,High,No,No,20.9,High,Moderate,Poor,North,High,Primary,Average,Regularly,No,None,2010,Alive
+P102825,51,Female,Never,34,30,High,Asbestos,High,No,No,19.9,High,High,Average,North,Middle,Tertiary,Good,Occasionally,No,None,2003,Alive
+P102826,77,Female,Current,3,4,High,Asbestos,Low,No,No,27.3,Low,None,Good,West,Middle,Tertiary,Poor,Regularly,Yes,Stage II,2011,Alive
+P102827,66,Female,Former,32,34,High,None,Moderate,Yes,No,19.2,Moderate,High,Average,North,High,Tertiary,Average,Regularly,No,None,2004,Alive
+P102828,83,Male,Current,12,13,Medium,None,Moderate,No,No,20.9,Low,Moderate,Good,North,Middle,Primary,Poor,Regularly,No,None,2014,Alive
+P102829,71,Male,Current,35,35,High,Asbestos,Low,Yes,No,22.6,Moderate,Moderate,Average,East,Middle,Tertiary,Poor,Never,No,None,2019,Deceased
+P102830,58,Female,Current,42,26,Medium,None,High,No,No,26.4,Low,High,Average,West,Low,Primary,Average,Occasionally,Yes,None,2002,Deceased
+P102831,61,Female,Current,18,23,Medium,None,Moderate,No,No,27.9,High,High,Poor,South,High,Primary,Poor,Regularly,No,None,2014,Alive
+P102832,30,Female,Never,42,39,High,Asbestos,Low,Yes,No,21.4,Moderate,None,Poor,West,Middle,Secondary,Average,Regularly,No,Stage II,2007,Alive
+P102833,31,Female,Never,11,28,High,Asbestos,Low,Yes,No,18.5,Low,None,Average,West,Middle,Secondary,Good,Never,No,None,2021,Deceased
+P102834,49,Male,Former,10,21,Low,Silica,High,Yes,No,29.1,High,None,Average,South,Middle,Primary,Average,Never,No,None,2010,Alive
+P102835,57,Female,Current,5,7,Low,Diesel Fumes,Moderate,Yes,No,28.4,Low,High,Good,South,Low,Tertiary,Average,Regularly,No,None,2011,Deceased
+P102836,79,Female,Current,11,14,Medium,Asbestos,Low,No,No,27.3,Low,Moderate,Good,South,Low,Primary,Poor,Regularly,No,None,2002,Alive
+P102837,82,Female,Current,26,4,Medium,Asbestos,Moderate,Yes,No,26.9,Low,Moderate,Poor,East,High,Primary,Poor,Regularly,No,None,2005,Alive
+P102838,31,Female,Never,40,3,High,Asbestos,Low,Yes,No,23.0,High,High,Average,East,High,Tertiary,Poor,Regularly,Yes,None,2007,Alive
+P102839,81,Female,Current,24,10,High,Diesel Fumes,Low,Yes,No,24.1,Moderate,Moderate,Average,East,Low,Secondary,Poor,Never,No,None,2006,Deceased
+P102840,36,Female,Former,41,17,Low,Silica,Low,No,No,25.4,Low,Moderate,Good,North,High,Primary,Poor,Occasionally,No,Stage I,2016,Alive
+P102841,40,Female,Never,2,29,High,None,High,No,No,20.8,High,High,Average,South,High,Secondary,Poor,Never,No,Stage II,2015,Alive
+P102842,67,Male,Former,2,14,Medium,Diesel Fumes,High,Yes,No,26.9,Low,Moderate,Average,East,High,Secondary,Poor,Never,No,None,2021,Alive
+P102843,31,Male,Never,19,5,High,Asbestos,High,No,No,25.6,Moderate,High,Average,East,Low,Secondary,Poor,Occasionally,No,Stage III,2016,Alive
+P102844,75,Male,Former,27,15,Low,Asbestos,Moderate,No,No,24.3,Low,None,Good,West,Low,Primary,Poor,Regularly,No,None,2012,Alive
+P102845,56,Male,Former,22,39,Medium,Silica,High,Yes,No,29.6,High,Moderate,Good,East,Middle,Tertiary,Average,Regularly,Yes,None,2003,Deceased
+P102846,32,Male,Former,47,8,Low,Silica,High,No,No,24.5,Low,High,Good,South,Middle,Tertiary,Poor,Occasionally,No,None,2009,Alive
+P102847,69,Male,Current,2,33,Low,Silica,Moderate,Yes,No,28.3,Low,Moderate,Average,South,Middle,Secondary,Poor,Never,Yes,Stage II,2015,Alive
+P102848,83,Female,Current,41,26,Medium,None,Moderate,Yes,No,19.1,Moderate,Moderate,Good,North,Middle,Secondary,Average,Regularly,No,None,2018,Deceased
+P102849,28,Female,Current,23,12,Low,Diesel Fumes,Moderate,Yes,No,29.2,Moderate,None,Poor,North,High,Tertiary,Good,Occasionally,No,None,2006,Alive
+P102850,53,Male,Former,42,35,High,Diesel Fumes,Moderate,No,No,28.0,Moderate,High,Poor,West,High,Secondary,Good,Occasionally,No,None,2017,Deceased
+P102851,53,Female,Current,39,26,High,Silica,High,Yes,Yes,35.8,Low,None,Good,North,Low,Tertiary,Average,Occasionally,No,None,2012,Alive
+P102852,52,Male,Current,5,8,Low,None,High,No,No,33.0,High,Moderate,Good,South,High,Tertiary,Good,Regularly,No,None,2003,Alive
+P102853,68,Female,Never,19,4,High,Diesel Fumes,Moderate,No,No,29.7,Low,Moderate,Average,North,High,Primary,Poor,Occasionally,No,None,2020,Alive
+P102854,28,Female,Former,10,21,Low,Asbestos,High,No,No,22.3,Low,Moderate,Good,North,High,Secondary,Poor,Never,Yes,None,2017,Alive
+P102855,33,Female,Never,31,30,High,Asbestos,Low,No,No,20.6,Low,High,Good,East,Middle,Secondary,Poor,Never,No,None,2015,Alive
+P102856,29,Female,Never,26,2,Low,Asbestos,High,Yes,No,21.4,Low,None,Poor,South,Low,Primary,Good,Occasionally,No,None,2024,Deceased
+P102857,80,Female,Current,20,29,High,Diesel Fumes,Low,Yes,No,27.5,Moderate,High,Poor,West,Middle,Tertiary,Average,Occasionally,No,None,2017,Deceased
+P102858,74,Female,Current,43,20,Medium,Silica,Moderate,No,No,31.5,Moderate,Moderate,Poor,North,High,Secondary,Poor,Occasionally,No,Stage IV,2015,Alive
+P102859,39,Male,Never,47,34,Medium,Asbestos,Moderate,Yes,Yes,18.9,Moderate,None,Poor,North,High,Primary,Average,Never,No,None,2021,Alive
+P102860,56,Male,Current,49,5,High,Silica,High,No,No,20.8,Moderate,Moderate,Good,West,Low,Tertiary,Average,Regularly,No,None,2023,Alive
+P102861,52,Female,Current,12,27,Low,None,Moderate,No,No,25.2,High,None,Poor,West,Middle,Primary,Poor,Never,No,None,2022,Alive
+P102862,46,Male,Current,21,31,High,Asbestos,High,Yes,No,19.3,Low,High,Average,South,High,Primary,Average,Occasionally,No,None,2021,Alive
+P102863,41,Female,Never,34,36,Low,None,High,No,No,22.9,Low,High,Average,West,Low,Primary,Average,Regularly,No,None,2023,Alive
+P102864,83,Male,Current,46,24,High,Silica,High,Yes,No,31.2,Low,High,Good,North,High,Primary,Poor,Regularly,No,None,2020,Deceased
+P102865,81,Female,Former,21,31,High,Diesel Fumes,High,No,No,28.6,High,High,Average,South,High,Tertiary,Average,Occasionally,No,Stage IV,2008,Alive
+P102866,50,Male,Former,27,34,Medium,Silica,Low,No,No,29.1,High,High,Poor,South,Low,Primary,Good,Occasionally,No,None,2001,Alive
+P102867,49,Female,Never,20,21,Low,Asbestos,Low,No,No,20.1,Moderate,None,Poor,West,Low,Tertiary,Poor,Never,No,None,2005,Alive
+P102868,34,Male,Never,45,23,Low,Asbestos,Moderate,No,No,16.3,Low,None,Average,South,High,Primary,Poor,Never,No,None,2022,Deceased
+P102869,69,Female,Current,17,38,Low,Silica,Low,Yes,No,22.9,Low,Moderate,Good,North,Low,Primary,Poor,Never,Yes,None,2024,Alive
+P102870,35,Male,Former,30,29,Low,Asbestos,Moderate,No,No,13.4,High,None,Poor,North,High,Secondary,Poor,Occasionally,No,Stage IV,2020,Alive
+P102871,77,Female,Never,45,31,Low,Asbestos,Moderate,No,No,27.3,Low,Moderate,Poor,North,Middle,Secondary,Poor,Regularly,No,None,2005,Alive
+P102872,52,Female,Never,36,30,Medium,None,High,Yes,No,28.7,High,High,Average,South,High,Secondary,Poor,Never,No,None,2024,Alive
+P102873,89,Female,Current,20,22,High,Diesel Fumes,High,No,No,21.1,Moderate,None,Good,West,Low,Secondary,Poor,Occasionally,No,None,2005,Alive
+P102874,73,Male,Never,13,39,Low,Silica,High,No,Yes,27.9,High,None,Good,North,Middle,Primary,Good,Regularly,No,None,2013,Alive
+P102875,71,Male,Current,24,32,Low,None,High,No,No,27.9,Low,High,Average,East,Low,Primary,Average,Occasionally,No,None,2010,Alive
+P102876,76,Male,Never,26,24,High,Asbestos,High,No,No,19.4,High,High,Poor,West,High,Tertiary,Good,Occasionally,No,None,2016,Alive
+P102877,78,Female,Never,39,35,Medium,None,High,No,No,23.0,High,High,Average,South,Low,Primary,Average,Occasionally,No,Stage IV,2003,Alive
+P102878,84,Male,Former,22,23,Medium,Diesel Fumes,Low,No,No,22.7,Moderate,Moderate,Average,North,High,Tertiary,Poor,Never,No,None,2003,Deceased
+P102879,81,Female,Former,30,30,Medium,Silica,Moderate,Yes,No,29.7,Low,Moderate,Average,South,Low,Primary,Good,Occasionally,No,None,2018,Alive
+P102880,71,Male,Former,46,38,High,Diesel Fumes,Moderate,No,No,28.7,Low,None,Poor,North,Low,Primary,Poor,Occasionally,Yes,None,2023,Alive
+P102881,55,Male,Former,28,12,High,Diesel Fumes,High,Yes,No,27.9,Moderate,High,Poor,South,High,Tertiary,Average,Occasionally,Yes,Stage II,2021,Alive
+P102882,70,Male,Current,46,9,Medium,None,Low,No,No,22.2,High,None,Average,East,Middle,Secondary,Good,Never,No,None,2022,Alive
+P102883,50,Male,Current,29,22,Medium,None,High,Yes,No,31.8,High,High,Good,South,High,Primary,Good,Occasionally,No,None,2015,Alive
+P102884,29,Female,Never,25,17,High,Diesel Fumes,Low,Yes,No,25.9,Low,High,Average,South,Middle,Secondary,Average,Occasionally,No,None,2024,Alive
+P102885,76,Male,Former,19,31,Medium,Asbestos,Low,Yes,Yes,27.5,High,High,Poor,South,Middle,Tertiary,Average,Never,No,Stage IV,2007,Alive
+P102886,78,Male,Current,37,32,Low,Silica,Moderate,Yes,No,33.7,Moderate,High,Good,North,Middle,Primary,Good,Occasionally,No,None,2018,Alive
+P102887,57,Female,Former,18,35,High,Asbestos,Moderate,No,No,28.3,Low,High,Good,West,Middle,Tertiary,Good,Regularly,No,None,2019,Alive
+P102888,74,Female,Never,26,27,Medium,Asbestos,Low,No,No,24.4,High,Moderate,Poor,South,High,Primary,Good,Occasionally,No,None,2000,Alive
+P102889,62,Male,Current,24,15,Low,Silica,Moderate,No,No,22.5,Moderate,None,Poor,West,High,Tertiary,Average,Occasionally,No,Stage IV,2003,Alive
+P102890,51,Male,Current,39,15,High,None,Low,Yes,No,16.3,Moderate,High,Average,North,Middle,Tertiary,Poor,Never,No,Stage IV,2011,Alive
+P102891,39,Female,Former,37,17,High,Asbestos,Low,Yes,No,17.2,Low,Moderate,Poor,South,Middle,Secondary,Good,Never,No,None,2024,Deceased
+P102892,85,Female,Never,22,7,Low,None,Low,Yes,No,29.3,Low,Moderate,Good,North,Middle,Secondary,Average,Never,No,Stage II,2020,Alive
+P102893,45,Female,Never,28,15,High,Silica,Moderate,Yes,No,15.1,High,High,Average,West,Middle,Secondary,Good,Never,No,None,2018,Alive
+P102894,70,Male,Current,14,10,Medium,Asbestos,High,Yes,No,30.1,High,High,Average,North,Middle,Primary,Average,Regularly,No,None,2001,Alive
+P102895,30,Male,Never,2,5,High,None,Moderate,Yes,No,29.0,High,Moderate,Good,North,Middle,Tertiary,Good,Occasionally,No,None,2005,Alive
+P102896,62,Male,Former,9,0,Medium,None,High,Yes,No,20.7,Moderate,High,Poor,West,Low,Secondary,Average,Occasionally,No,Stage II,2019,Alive
+P102897,86,Female,Former,14,11,Low,Asbestos,Moderate,No,No,25.9,Moderate,Moderate,Average,North,Middle,Primary,Average,Regularly,No,None,2021,Alive
+P102898,86,Female,Never,15,37,Low,Silica,Moderate,Yes,No,27.9,High,High,Good,West,Low,Secondary,Good,Never,No,None,2002,Deceased
+P102899,70,Female,Current,16,27,High,Diesel Fumes,High,No,No,25.5,Low,Moderate,Good,West,High,Primary,Average,Occasionally,No,None,2002,Alive
+P102900,37,Male,Current,18,16,Low,None,Low,No,No,31.2,Moderate,High,Good,South,High,Tertiary,Average,Regularly,No,None,2000,Alive
+P102901,27,Female,Current,10,0,Low,Silica,High,Yes,No,18.0,Moderate,Moderate,Poor,South,Middle,Tertiary,Average,Occasionally,No,None,2008,Alive
+P102902,30,Male,Never,47,31,High,Asbestos,Low,Yes,No,27.5,High,None,Poor,North,High,Tertiary,Average,Regularly,No,None,2006,Alive
+P102903,32,Female,Never,4,7,Medium,None,Low,Yes,No,22.0,Low,High,Poor,North,High,Primary,Average,Regularly,No,None,2008,Alive
+P102904,68,Male,Former,4,39,High,None,Moderate,Yes,No,16.3,Moderate,High,Poor,North,Middle,Tertiary,Average,Occasionally,No,None,2000,Alive
+P102905,57,Male,Never,13,23,High,None,Moderate,No,Yes,19.2,Low,Moderate,Good,East,High,Primary,Average,Never,No,Stage II,2007,Alive
+P102906,74,Female,Current,49,9,Medium,Silica,Moderate,Yes,No,22.4,Moderate,High,Average,East,High,Primary,Average,Never,Yes,None,2017,Alive
+P102907,35,Male,Never,25,38,Medium,None,Moderate,No,No,25.1,Low,None,Good,South,Middle,Primary,Good,Regularly,No,Stage I,2002,Alive
+P102908,52,Female,Former,7,38,Medium,None,Moderate,Yes,No,20.5,Low,None,Average,West,Middle,Tertiary,Average,Never,No,None,2016,Alive
+P102909,65,Male,Former,4,9,High,Asbestos,High,No,Yes,22.5,Moderate,Moderate,Average,East,Middle,Tertiary,Poor,Occasionally,No,None,2006,Alive
+P102910,40,Female,Current,6,35,Medium,None,High,No,No,23.0,Low,Moderate,Average,East,Low,Tertiary,Good,Regularly,Yes,None,2010,Alive
+P102911,72,Female,Never,15,24,Low,Silica,High,No,No,20.6,Moderate,High,Poor,West,Middle,Primary,Good,Occasionally,No,None,2004,Alive
+P102912,80,Male,Former,13,9,Medium,Asbestos,High,No,Yes,22.2,Moderate,Moderate,Good,North,High,Tertiary,Poor,Occasionally,No,Stage III,2012,Alive
+P102913,88,Female,Never,36,18,Low,Diesel Fumes,Moderate,No,No,27.9,Low,None,Average,North,Middle,Primary,Average,Never,Yes,None,2010,Alive
+P102914,83,Male,Current,40,14,Medium,Asbestos,High,Yes,No,33.2,Moderate,None,Good,East,Low,Tertiary,Poor,Occasionally,No,None,2002,Alive
+P102915,86,Female,Never,3,15,Low,None,High,Yes,No,26.0,Low,High,Poor,East,High,Primary,Poor,Regularly,Yes,Stage IV,2012,Alive
+P102916,35,Female,Current,35,1,Low,Diesel Fumes,Low,Yes,No,25.7,Moderate,None,Average,West,Low,Secondary,Poor,Regularly,No,Stage II,2019,Alive
+P102917,42,Female,Current,47,28,Low,Asbestos,Moderate,No,No,24.6,Low,Moderate,Poor,West,High,Tertiary,Good,Occasionally,Yes,None,2005,Alive
+P102918,43,Female,Never,16,3,Low,None,High,Yes,No,23.0,Moderate,High,Poor,East,Middle,Tertiary,Average,Occasionally,No,None,2021,Alive
+P102919,79,Male,Current,46,28,Low,Asbestos,High,No,No,27.9,Moderate,High,Good,West,Low,Primary,Good,Regularly,No,None,2014,Alive
+P102920,50,Female,Never,35,30,Medium,Silica,High,No,No,29.9,High,High,Average,North,Middle,Primary,Average,Never,No,None,2001,Deceased
+P102921,30,Female,Current,5,16,High,None,Moderate,Yes,Yes,19.2,Moderate,Moderate,Poor,South,High,Primary,Poor,Never,No,None,2022,Alive
+P102922,28,Male,Former,15,9,High,Silica,High,No,No,30.2,Moderate,High,Good,East,Middle,Secondary,Good,Never,No,None,2001,Alive
+P102923,53,Male,Former,28,26,High,None,Low,Yes,No,33.1,Low,High,Average,South,Middle,Tertiary,Average,Occasionally,No,None,2024,Alive
+P102924,83,Male,Former,35,14,High,Silica,Moderate,No,No,20.0,Low,None,Average,West,High,Primary,Average,Occasionally,Yes,None,2013,Deceased
+P102925,41,Male,Never,37,30,High,Diesel Fumes,Low,Yes,No,29.6,Low,None,Poor,South,Low,Secondary,Poor,Regularly,No,None,2001,Deceased
+P102926,67,Male,Current,36,20,Low,Silica,Moderate,No,No,33.2,Low,High,Poor,East,High,Secondary,Good,Regularly,No,None,2004,Alive
+P102927,58,Male,Never,47,25,Medium,Asbestos,High,Yes,No,28.6,High,Moderate,Poor,West,High,Primary,Good,Regularly,Yes,None,2015,Deceased
+P102928,32,Female,Current,47,37,Low,None,Moderate,Yes,No,24.1,High,Moderate,Poor,South,Middle,Tertiary,Good,Regularly,No,None,2007,Alive
+P102929,37,Male,Former,9,35,Medium,Asbestos,Moderate,No,No,28.9,Low,Moderate,Average,North,High,Primary,Good,Never,No,None,2007,Deceased
+P102930,32,Female,Current,40,16,Medium,Silica,Moderate,No,No,20.9,Low,Moderate,Poor,East,Low,Primary,Good,Occasionally,No,None,2010,Alive
+P102931,89,Male,Never,35,2,Medium,None,Low,No,No,23.4,Low,None,Poor,East,High,Primary,Good,Occasionally,No,None,2012,Alive
+P102932,67,Female,Former,28,13,Medium,Silica,Moderate,Yes,No,21.3,Low,Moderate,Poor,East,High,Secondary,Good,Never,No,None,2014,Alive
+P102933,63,Female,Former,13,12,High,Diesel Fumes,High,Yes,No,18.3,Moderate,Moderate,Average,East,Middle,Secondary,Poor,Regularly,Yes,None,2003,Alive
+P102934,83,Female,Current,3,26,Medium,Diesel Fumes,Moderate,No,No,25.2,Low,High,Good,West,Low,Tertiary,Average,Regularly,No,None,2022,Alive
+P102935,68,Male,Never,43,0,Medium,Diesel Fumes,Moderate,Yes,No,26.5,Moderate,Moderate,Good,North,Middle,Secondary,Poor,Occasionally,No,None,2007,Alive
+P102936,33,Male,Never,41,16,High,Silica,High,Yes,No,28.3,Low,Moderate,Average,North,Middle,Primary,Average,Regularly,No,None,2015,Alive
+P102937,61,Male,Never,35,33,Low,Silica,High,No,No,2.6,High,Moderate,Good,South,Low,Secondary,Average,Occasionally,No,None,2015,Deceased
+P102938,60,Male,Current,49,13,Low,Diesel Fumes,Low,Yes,No,25.9,High,Moderate,Average,East,Low,Tertiary,Average,Never,No,None,2023,Alive
+P102939,52,Female,Never,44,16,Low,Silica,High,Yes,No,25.4,Low,None,Poor,East,High,Primary,Good,Occasionally,No,None,2020,Alive
+P102940,66,Male,Former,12,2,Low,Asbestos,High,Yes,No,19.5,High,High,Good,South,Low,Primary,Good,Never,Yes,None,2009,Deceased
+P102941,67,Female,Never,45,33,Medium,Silica,High,No,No,22.8,High,None,Average,West,Middle,Secondary,Average,Regularly,No,None,2001,Alive
+P102942,66,Female,Current,17,39,High,Asbestos,Moderate,Yes,No,28.8,High,High,Average,North,Low,Secondary,Average,Occasionally,No,None,2017,Alive
+P102943,79,Male,Current,32,24,High,Diesel Fumes,Low,No,No,25.5,High,High,Poor,East,Low,Tertiary,Good,Regularly,No,None,2020,Alive
+P102944,72,Male,Former,20,1,Low,Silica,High,Yes,No,24.9,Moderate,High,Average,South,Low,Primary,Good,Regularly,No,None,2015,Alive
+P102945,46,Male,Former,15,33,High,Diesel Fumes,High,Yes,No,29.5,Moderate,High,Good,North,Middle,Tertiary,Average,Regularly,No,None,2003,Alive
+P102946,51,Female,Never,14,25,Medium,None,High,Yes,No,36.6,Moderate,None,Poor,South,High,Secondary,Average,Occasionally,No,Stage III,2019,Deceased
+P102947,37,Male,Never,4,30,Low,Silica,Moderate,Yes,No,23.8,Moderate,High,Average,South,High,Primary,Poor,Regularly,No,Stage IV,2018,Deceased
+P102948,69,Female,Never,5,8,Medium,Silica,Moderate,Yes,No,26.2,Low,Moderate,Poor,West,Middle,Secondary,Good,Occasionally,No,None,2024,Alive
+P102949,34,Male,Current,37,29,Medium,Diesel Fumes,Low,No,No,20.5,High,Moderate,Average,North,High,Primary,Good,Regularly,Yes,None,2007,Alive
+P102950,33,Female,Former,2,19,Medium,Diesel Fumes,Low,Yes,No,35.7,High,High,Good,East,High,Tertiary,Average,Never,No,None,2019,Alive
+P102951,78,Male,Current,47,20,Medium,Diesel Fumes,Moderate,Yes,No,22.3,Low,Moderate,Good,North,Middle,Primary,Poor,Occasionally,No,Stage I,2022,Alive
+P102952,51,Male,Former,11,28,Medium,None,High,Yes,No,16.0,Low,Moderate,Poor,West,Middle,Secondary,Good,Never,No,None,2007,Alive
+P102953,58,Female,Current,35,24,Low,None,High,Yes,No,28.1,Moderate,High,Average,East,High,Primary,Poor,Never,No,None,2013,Alive
+P102954,25,Male,Former,32,37,Medium,Diesel Fumes,Low,No,No,16.9,Moderate,High,Poor,North,Low,Tertiary,Poor,Occasionally,No,Stage III,2015,Alive
+P102955,56,Male,Former,35,24,Low,Silica,High,Yes,No,31.5,High,High,Poor,West,High,Secondary,Good,Occasionally,No,None,2005,Deceased
+P102956,44,Male,Never,32,8,High,Silica,Moderate,Yes,No,27.9,Low,None,Good,East,Low,Tertiary,Average,Occasionally,No,None,2017,Alive
+P102957,59,Male,Former,30,38,Medium,Diesel Fumes,Low,Yes,No,19.9,High,High,Poor,East,Middle,Primary,Poor,Regularly,No,Stage I,2007,Alive
+P102958,41,Male,Former,20,25,Medium,Asbestos,Moderate,Yes,No,28.4,Low,High,Average,South,Low,Primary,Average,Regularly,No,Stage I,2018,Alive
+P102959,42,Male,Current,26,36,High,None,Moderate,No,No,23.3,Moderate,None,Good,South,Low,Primary,Good,Never,No,None,2003,Deceased
+P102960,69,Male,Current,26,15,Low,None,High,No,No,27.1,High,Moderate,Average,West,Low,Primary,Poor,Occasionally,Yes,None,2003,Alive
+P102961,77,Female,Former,7,36,Medium,Asbestos,Moderate,Yes,No,18.6,High,None,Poor,East,Middle,Secondary,Average,Never,No,None,2006,Alive
+P102962,89,Female,Never,36,11,High,Diesel Fumes,Moderate,Yes,No,18.3,Low,Moderate,Good,North,High,Primary,Poor,Regularly,No,None,2007,Alive
+P102963,25,Male,Former,31,23,High,Silica,High,Yes,No,26.6,High,None,Average,East,High,Secondary,Poor,Never,No,None,2008,Alive
+P102964,82,Male,Former,25,25,Medium,Silica,Moderate,Yes,No,34.4,Moderate,High,Average,West,Low,Secondary,Poor,Never,No,None,2000,Alive
+P102965,50,Male,Never,1,19,Low,None,High,Yes,No,21.8,High,None,Poor,North,High,Secondary,Good,Occasionally,No,Stage II,2016,Alive
+P102966,44,Female,Current,11,8,Low,Asbestos,Moderate,No,No,21.4,Low,High,Average,East,Middle,Primary,Average,Occasionally,No,Stage II,2006,Alive
+P102967,34,Female,Current,21,22,Medium,Silica,High,No,No,23.3,High,Moderate,Poor,North,Middle,Primary,Poor,Never,No,None,2019,Alive
+P102968,83,Male,Current,16,38,High,None,High,Yes,No,18.4,Moderate,High,Poor,South,Middle,Tertiary,Average,Regularly,No,Stage IV,2009,Alive
+P102969,65,Female,Never,6,28,Medium,Silica,Low,Yes,No,27.8,Low,None,Poor,North,Middle,Primary,Good,Never,No,None,2023,Alive
+P102970,29,Male,Current,42,30,Low,Silica,Moderate,Yes,No,29.5,Low,None,Poor,South,High,Primary,Poor,Regularly,No,None,2020,Alive
+P102971,89,Male,Current,3,18,High,Silica,Moderate,No,No,27.4,Moderate,Moderate,Good,North,Low,Primary,Poor,Never,No,None,2000,Alive
+P102972,41,Male,Former,36,19,Medium,None,Low,Yes,No,24.2,Low,High,Average,South,Low,Secondary,Poor,Never,No,None,2017,Alive
+P102973,46,Male,Former,37,22,High,Asbestos,High,Yes,No,19.9,Low,Moderate,Average,West,Low,Tertiary,Average,Occasionally,No,Stage II,2013,Alive
+P102974,65,Female,Current,31,26,Low,Diesel Fumes,High,No,No,35.3,High,High,Good,North,Middle,Primary,Average,Never,No,None,2018,Alive
+P102975,35,Female,Former,10,29,Low,Asbestos,Low,No,No,20.7,Low,High,Poor,East,High,Tertiary,Poor,Regularly,No,None,2017,Alive
+P102976,80,Male,Former,0,20,Low,Silica,Low,Yes,No,20.6,High,Moderate,Poor,West,High,Secondary,Average,Never,No,None,2024,Alive
+P102977,75,Female,Former,24,34,Medium,Asbestos,High,Yes,No,16.0,Moderate,Moderate,Poor,West,High,Tertiary,Average,Never,No,None,2012,Alive
+P102978,45,Female,Former,41,6,High,Silica,High,Yes,No,17.9,Moderate,High,Poor,North,High,Tertiary,Poor,Regularly,No,None,2006,Alive
+P102979,50,Male,Never,23,21,Medium,None,Low,Yes,No,26.7,Moderate,Moderate,Good,West,High,Tertiary,Poor,Never,No,Stage IV,2001,Alive
+P102980,43,Female,Current,42,9,Medium,None,Moderate,No,No,22.9,Moderate,High,Average,South,High,Tertiary,Poor,Never,No,None,2006,Alive
+P102981,84,Male,Current,16,22,Medium,None,High,No,No,20.7,Low,Moderate,Poor,South,Low,Tertiary,Good,Never,Yes,None,2009,Alive
+P102982,71,Male,Current,7,14,Medium,Silica,Low,Yes,No,21.0,Low,Moderate,Poor,North,Middle,Secondary,Poor,Never,No,None,2016,Alive
+P102983,50,Male,Never,44,29,High,Asbestos,Moderate,No,No,22.4,High,Moderate,Poor,West,Low,Primary,Poor,Regularly,No,None,2020,Alive
+P102984,64,Male,Current,26,33,High,Diesel Fumes,Moderate,Yes,No,21.7,High,None,Average,East,High,Tertiary,Poor,Regularly,Yes,Stage IV,2004,Alive
+P102985,29,Female,Never,17,12,Medium,Diesel Fumes,Moderate,No,No,32.0,High,Moderate,Average,North,Middle,Secondary,Poor,Regularly,Yes,Stage III,2008,Alive
+P102986,45,Male,Never,26,3,Medium,None,Moderate,Yes,No,23.1,Low,None,Good,North,Middle,Secondary,Poor,Regularly,No,None,2003,Alive
+P102987,28,Female,Former,21,17,Low,Diesel Fumes,Low,Yes,No,25.7,High,High,Average,West,Middle,Primary,Poor,Never,No,None,2019,Alive
+P102988,47,Male,Former,15,22,Low,Silica,High,No,No,25.3,Low,High,Average,South,Middle,Secondary,Poor,Regularly,No,None,2021,Alive
+P102989,39,Male,Former,1,32,High,Asbestos,Moderate,No,No,25.5,Moderate,Moderate,Poor,West,High,Primary,Poor,Never,No,Stage IV,2014,Deceased
+P102990,32,Female,Never,4,33,Low,Diesel Fumes,Moderate,No,No,23.1,Low,None,Average,East,High,Tertiary,Good,Occasionally,No,None,2013,Alive
+P102991,65,Male,Former,17,33,High,Diesel Fumes,Low,No,No,22.6,Moderate,High,Poor,East,Middle,Secondary,Average,Never,No,None,2017,Alive
+P102992,43,Female,Never,2,35,High,Asbestos,Moderate,No,Yes,28.2,High,None,Good,East,High,Secondary,Good,Never,No,None,2009,Alive
+P102993,70,Female,Current,26,34,High,Diesel Fumes,Low,Yes,No,26.1,Low,None,Poor,East,Middle,Secondary,Good,Regularly,No,None,2015,Alive
+P102994,52,Male,Former,16,16,Low,Asbestos,Low,Yes,No,21.2,High,High,Good,North,High,Tertiary,Poor,Regularly,No,None,2021,Alive
+P102995,39,Male,Current,15,27,Low,Silica,High,No,No,10.7,High,None,Average,East,Middle,Primary,Poor,Regularly,No,None,2022,Alive
+P102996,61,Male,Former,5,13,High,Silica,Moderate,Yes,No,22.0,Moderate,None,Good,East,High,Primary,Poor,Occasionally,No,Stage III,2019,Deceased
+P102997,25,Male,Never,6,33,High,Silica,High,Yes,Yes,18.2,High,High,Poor,East,Low,Secondary,Poor,Never,No,Stage IV,2009,Alive
+P102998,48,Male,Current,49,10,Medium,None,Low,Yes,No,20.4,Low,Moderate,Average,West,Low,Secondary,Average,Occasionally,No,None,2008,Alive
+P102999,51,Male,Never,13,12,High,Silica,Moderate,Yes,No,18.4,High,Moderate,Average,South,High,Tertiary,Average,Never,No,Stage III,2015,Alive
diff --git a/.ipynb_checkpoints/week4_scikit_learn-checkpoint.ipynb b/.ipynb_checkpoints/week4_scikit_learn-checkpoint.ipynb
new file mode 100644
index 0000000..ee91827
--- /dev/null
+++ b/.ipynb_checkpoints/week4_scikit_learn-checkpoint.ipynb
@@ -0,0 +1,1722 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "4cad8cf9-52c5-4a78-ac16-39833303e1dc",
+   "metadata": {},
+   "source": [
+    "# **Искусственные нейронные сети: первые шаги**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "977abacb-0595-48ac-b874-ff6bf995fe06",
+   "metadata": {},
+   "source": [
+    "# Базовая нейросеть"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "afa2b869-a183-4d03-8907-b9cbf8531379",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00        11\n",
+      "           1       1.00      0.75      0.86         8\n",
+      "           2       0.85      1.00      0.92        11\n",
+      "\n",
+      "    accuracy                           0.93        30\n",
+      "   macro avg       0.95      0.92      0.92        30\n",
+      "weighted avg       0.94      0.93      0.93        30\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "D:\\Практика. 2 курс\\Task 4\\venv\\Lib\\site-packages\\sklearn\\neural_network\\_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (500) reached and the optimization hasn't converged yet.\n",
+      "  warnings.warn(\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.datasets import load_iris\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.neural_network import MLPClassifier\n",
+    "from sklearn.metrics import classification_report\n",
+    "\n",
+    "# Загрузка и разбиение данных\n",
+    "X, y = load_iris(return_X_y=True)\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)\n",
+    "\n",
+    "# Модель MLP — многослойный перцептрон\n",
+    "clf = MLPClassifier(hidden_layer_sizes=(10,), activation='relu', max_iter=500)\n",
+    "clf.fit(X_train, y_train)\n",
+    "\n",
+    "# Отчёт о точности\n",
+    "print(classification_report(y_test, clf.predict(X_test)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "b683837e-c854-4b6a-b48b-3db80b514ecf",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00         8\n",
+      "           1       0.00      0.00      0.00        12\n",
+      "           2       0.43      0.90      0.58        10\n",
+      "\n",
+      "    accuracy                           0.57        30\n",
+      "   macro avg       0.48      0.63      0.53        30\n",
+      "weighted avg       0.41      0.57      0.46        30\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "D:\\Практика. 2 курс\\Task 4\\venv\\Lib\\site-packages\\sklearn\\neural_network\\_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n",
+      "  warnings.warn(\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.datasets import load_iris\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.neural_network import MLPClassifier\n",
+    "from sklearn.metrics import classification_report\n",
+    "\n",
+    "# Загрузка и разбиение данных\n",
+    "X, y = load_iris(return_X_y=True)\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)\n",
+    "\n",
+    "# Модель MLP — многослойный перцептрон\n",
+    "clf = MLPClassifier(hidden_layer_sizes=(10,), activation='relu', max_iter=100)\n",
+    "clf.fit(X_train, y_train)\n",
+    "\n",
+    "# Отчёт о точности\n",
+    "print(classification_report(y_test, clf.predict(X_test)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "6a3624c4-87ce-4c7e-b0a5-9b3fae3230aa",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00        13\n",
+      "           1       1.00      1.00      1.00        11\n",
+      "           2       1.00      1.00      1.00         6\n",
+      "\n",
+      "    accuracy                           1.00        30\n",
+      "   macro avg       1.00      1.00      1.00        30\n",
+      "weighted avg       1.00      1.00      1.00        30\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.datasets import load_iris\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.neural_network import MLPClassifier\n",
+    "from sklearn.metrics import classification_report\n",
+    "\n",
+    "# Загрузка и разбиение данных\n",
+    "X, y = load_iris(return_X_y=True)\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)\n",
+    "\n",
+    "# Модель MLP — многослойный перцептрон\n",
+    "clf = MLPClassifier(hidden_layer_sizes=(10,), activation='relu', max_iter=2500)\n",
+    "clf.fit(X_train, y_train)\n",
+    "\n",
+    "# Отчёт о точности\n",
+    "print(classification_report(y_test, clf.predict(X_test)))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "707bf955-5dbd-49e5-8650-4aeedf59531a",
+   "metadata": {},
+   "source": [
+    "# Самостоятельное задание"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3df34b09-a006-4b05-9d6d-9cae917c8535",
+   "metadata": {},
+   "source": [
+    "# Biclustering документов с алгоритмом Spectral Co-clustering\n",
+    "\n",
+    "## Цель задачи:\n",
+    "Целью данной работы является демонстрация применения алгоритма Spectral Co-clustering для совместной кластеризации документов и слов (бикластеризации) на наборе данных 20 newsgroups. \n",
+    "\n",
+    "Бикластеризация позволяет находить подмножества слов, которые часто встречаются вместе в подмножествах документов, что полезно для тематического моделирования и анализа текстов.\n",
+    "\n",
+    "Алгоритм сравнивается с MiniBatchKMeans по метрике V-measure."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eddfbff7-533d-4a11-89e8-60e4f520dcd4",
+   "metadata": {},
+   "source": [
+    "## Импорт необходимых библиотек"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "0c5dd022-f4d1-4668-87ee-bcc4d4a6b3ae",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from collections import Counter\n",
+    "from time import time\n",
+    "import numpy as np\n",
+    "from sklearn.cluster import MiniBatchKMeans, SpectralCoclustering\n",
+    "from sklearn.datasets import fetch_20newsgroups\n",
+    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
+    "from sklearn.metrics.cluster import v_measure_score\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "from sklearn.datasets import make_biclusters\n",
+    "from sklearn.metrics import consensus_score"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "751a8517-5965-4995-bb3c-762c50a89bb2",
+   "metadata": {},
+   "source": [
+    "## 1. Работа с встроенным датасетом (20 newsgroups)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f853c375-b8da-48ef-a046-908b014c2446",
+   "metadata": {},
+   "source": [
+    "### 1.1 Загрузка и подготовка данных\n",
+    "Используем встроенный датасет 20 newsgroups, исключая категорию 'comp.os.ms-windows.misc', так как она содержит много постов только с данными."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "4bdd4f2d-5e13-40cd-a52e-4b39b468cec8",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Vectorizing...\n",
+      "Coclustering...\n",
+      "Done in 1.53s. V-measure: 0.4415\n",
+      "MiniBatchKMeans...\n",
+      "Done in 2.06s. V-measure: 0.3015\n",
+      "\n",
+      "Best biclusters:\n",
+      "----------------\n",
+      "bicluster 0 : 8 documents, 6 words\n",
+      "categories   : 100% talk.politics.mideast\n",
+      "words        : cosmo, angmar, alfalfa, alphalpha, proline, benson\n",
+      "\n",
+      "bicluster 1 : 1948 documents, 4325 words\n",
+      "categories   : 23% talk.politics.guns, 18% talk.politics.misc, 17% sci.med\n",
+      "words        : gun, guns, geb, banks, gordon, clinton, pitt, cdt, surrender, veal\n",
+      "\n",
+      "bicluster 2 : 1259 documents, 3534 words\n",
+      "categories   : 27% soc.religion.christian, 25% talk.politics.mideast, 25% alt.atheism\n",
+      "words        : god, jesus, christians, kent, sin, objective, belief, christ, faith, moral\n",
+      "\n",
+      "bicluster 3 : 775 documents, 1623 words\n",
+      "categories   : 30% comp.windows.x, 25% comp.sys.ibm.pc.hardware, 20% comp.graphics\n",
+      "words        : scsi, nada, ide, vga, esdi, isa, kth, s3, vlb, bmug\n",
+      "\n",
+      "bicluster 4 : 2180 documents, 2802 words\n",
+      "categories   : 18% comp.sys.mac.hardware, 16% sci.electronics, 16% comp.sys.ibm.pc.hardware\n",
+      "words        : voltage, shipping, circuit, receiver, processing, scope, mpce, analog, kolstad, umass\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Authors: The scikit-learn developers\n",
+    "# SPDX-License-Identifier: BSD-3-Clause\n",
+    "from collections import Counter\n",
+    "from time import time\n",
+    "\n",
+    "import numpy as np\n",
+    "\n",
+    "from sklearn.cluster import MiniBatchKMeans, SpectralCoclustering\n",
+    "from sklearn.datasets import fetch_20newsgroups\n",
+    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
+    "from sklearn.metrics.cluster import v_measure_score\n",
+    "\n",
+    "\n",
+    "def number_normalizer(tokens):\n",
+    "    \"\"\"Map all numeric tokens to a placeholder.\n",
+    "\n",
+    "    For many applications, tokens that begin with a number are not directly\n",
+    "    useful, but the fact that such a token exists can be relevant.  By applying\n",
+    "    this form of dimensionality reduction, some methods may perform better.\n",
+    "    \"\"\"\n",
+    "    return (\"#NUMBER\" if token[0].isdigit() else token for token in tokens)\n",
+    "\n",
+    "\n",
+    "class NumberNormalizingVectorizer(TfidfVectorizer):\n",
+    "    def build_tokenizer(self):\n",
+    "        tokenize = super().build_tokenizer()\n",
+    "        return lambda doc: list(number_normalizer(tokenize(doc)))\n",
+    "\n",
+    "\n",
+    "# exclude 'comp.os.ms-windows.misc'\n",
+    "categories = [\n",
+    "    \"alt.atheism\",\n",
+    "    \"comp.graphics\",\n",
+    "    \"comp.sys.ibm.pc.hardware\",\n",
+    "    \"comp.sys.mac.hardware\",\n",
+    "    \"comp.windows.x\",\n",
+    "    \"misc.forsale\",\n",
+    "    \"rec.autos\",\n",
+    "    \"rec.motorcycles\",\n",
+    "    \"rec.sport.baseball\",\n",
+    "    \"rec.sport.hockey\",\n",
+    "    \"sci.crypt\",\n",
+    "    \"sci.electronics\",\n",
+    "    \"sci.med\",\n",
+    "    \"sci.space\",\n",
+    "    \"soc.religion.christian\",\n",
+    "    \"talk.politics.guns\",\n",
+    "    \"talk.politics.mideast\",\n",
+    "    \"talk.politics.misc\",\n",
+    "    \"talk.religion.misc\",\n",
+    "]\n",
+    "newsgroups = fetch_20newsgroups(categories=categories)\n",
+    "y_true = newsgroups.target\n",
+    "\n",
+    "vectorizer = NumberNormalizingVectorizer(stop_words=\"english\", min_df=5)\n",
+    "cocluster = SpectralCoclustering(\n",
+    "    n_clusters=len(categories), svd_method=\"arpack\", random_state=0\n",
+    ")\n",
+    "kmeans = MiniBatchKMeans(\n",
+    "    n_clusters=len(categories), batch_size=20000, random_state=0, n_init=3\n",
+    ")\n",
+    "\n",
+    "print(\"Vectorizing...\")\n",
+    "X = vectorizer.fit_transform(newsgroups.data)\n",
+    "\n",
+    "print(\"Coclustering...\")\n",
+    "start_time = time()\n",
+    "cocluster.fit(X)\n",
+    "y_cocluster = cocluster.row_labels_\n",
+    "print(\n",
+    "    f\"Done in {time() - start_time:.2f}s. V-measure: \\\n",
+    "{v_measure_score(y_cocluster, y_true):.4f}\"\n",
+    ")\n",
+    "\n",
+    "\n",
+    "print(\"MiniBatchKMeans...\")\n",
+    "start_time = time()\n",
+    "y_kmeans = kmeans.fit_predict(X)\n",
+    "print(\n",
+    "    f\"Done in {time() - start_time:.2f}s. V-measure: \\\n",
+    "{v_measure_score(y_kmeans, y_true):.4f}\"\n",
+    ")\n",
+    "\n",
+    "\n",
+    "feature_names = vectorizer.get_feature_names_out()\n",
+    "document_names = list(newsgroups.target_names[i] for i in newsgroups.target)\n",
+    "\n",
+    "\n",
+    "def bicluster_ncut(i):\n",
+    "    rows, cols = cocluster.get_indices(i)\n",
+    "    if not (np.any(rows) and np.any(cols)):\n",
+    "        import sys\n",
+    "\n",
+    "        return sys.float_info.max\n",
+    "    row_complement = np.nonzero(np.logical_not(cocluster.rows_[i]))[0]\n",
+    "    col_complement = np.nonzero(np.logical_not(cocluster.columns_[i]))[0]\n",
+    "    # Note: the following is identical to X[rows[:, np.newaxis],\n",
+    "    # cols].sum() but much faster in scipy <= 0.16\n",
+    "    weight = X[rows][:, cols].sum()\n",
+    "    cut = X[row_complement][:, cols].sum() + X[rows][:, col_complement].sum()\n",
+    "    return cut / weight\n",
+    "\n",
+    "\n",
+    "bicluster_ncuts = list(bicluster_ncut(i) for i in range(len(newsgroups.target_names)))\n",
+    "best_idx = np.argsort(bicluster_ncuts)[:5]\n",
+    "\n",
+    "print()\n",
+    "print(\"Best biclusters:\")\n",
+    "print(\"----------------\")\n",
+    "for idx, cluster in enumerate(best_idx):\n",
+    "    n_rows, n_cols = cocluster.get_shape(cluster)\n",
+    "    cluster_docs, cluster_words = cocluster.get_indices(cluster)\n",
+    "    if not len(cluster_docs) or not len(cluster_words):\n",
+    "        continue\n",
+    "\n",
+    "    # categories\n",
+    "    counter = Counter(document_names[doc] for doc in cluster_docs)\n",
+    "\n",
+    "    cat_string = \", \".join(\n",
+    "        f\"{(c / n_rows * 100):.0f}% {name}\" for name, c in counter.most_common(3)\n",
+    "    )\n",
+    "\n",
+    "    # words\n",
+    "    out_of_cluster_docs = cocluster.row_labels_ != cluster\n",
+    "    out_of_cluster_docs = np.where(out_of_cluster_docs)[0]\n",
+    "    word_col = X[:, cluster_words]\n",
+    "    word_scores = np.array(\n",
+    "        word_col[cluster_docs, :].sum(axis=0)\n",
+    "        - word_col[out_of_cluster_docs, :].sum(axis=0)\n",
+    "    )\n",
+    "    word_scores = word_scores.ravel()\n",
+    "    important_words = list(\n",
+    "        feature_names[cluster_words[i]] for i in word_scores.argsort()[:-11:-1]\n",
+    "    )\n",
+    "\n",
+    "    print(f\"bicluster {idx} : {n_rows} documents, {n_cols} words\")\n",
+    "    print(f\"categories   : {cat_string}\")\n",
+    "    print(f\"words        : {', '.join(important_words)}\\n\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "927d506e-dd51-4616-888f-4c114a44b106",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Исключаем 'comp.os.ms-windows.misc'\n",
+    "categories = [\n",
+    "    \"alt.atheism\",\n",
+    "    \"comp.graphics\",\n",
+    "    \"comp.sys.ibm.pc.hardware\",\n",
+    "    \"comp.sys.mac.hardware\",\n",
+    "    \"comp.windows.x\",\n",
+    "    \"misc.forsale\",\n",
+    "    \"rec.autos\",\n",
+    "    \"rec.motorcycles\",\n",
+    "    \"rec.sport.baseball\",\n",
+    "    \"rec.sport.hockey\",\n",
+    "    \"sci.crypt\",\n",
+    "    \"sci.electronics\",\n",
+    "    \"sci.med\",\n",
+    "    \"sci.space\",\n",
+    "    \"soc.religion.christian\",\n",
+    "    \"talk.politics.guns\",\n",
+    "    \"talk.politics.mideast\",\n",
+    "    \"talk.politics.misc\",\n",
+    "    \"talk.religion.misc\",\n",
+    "]\n",
+    "\n",
+    "# Загрузка данных\n",
+    "newsgroups = fetch_20newsgroups(categories=categories)\n",
+    "y_true = newsgroups.target"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "11c70dd8-8a44-48e8-89c6-c13f2bef8987",
+   "metadata": {},
+   "source": [
+    "### 1.2 Препроцессинг данных\n",
+    "Создаем кастомный векторизатор, который нормализует числа в тексте (заменяет их на #NUMBER)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "157bc5ce-66e6-4c66-ad2f-8b25a40af6b5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def number_normalizer(tokens):\n",
+    "    \"\"\"Заменяет все числовые токены на placeholder #NUMBER\"\"\"\n",
+    "    return (\"#NUMBER\" if token[0].isdigit() else token for token in tokens)\n",
+    "\n",
+    "class NumberNormalizingVectorizer(TfidfVectorizer):\n",
+    "    def build_tokenizer(self):\n",
+    "        tokenize = super().build_tokenizer()\n",
+    "        return lambda doc: list(number_normalizer(tokenize(doc)))\n",
+    "\n",
+    "# Создаем векторизатор с удалением стоп-слов и минимальной частотой слова 5\n",
+    "vectorizer = NumberNormalizingVectorizer(stop_words=\"english\", min_df=5)\n",
+    "X = vectorizer.fit_transform(newsgroups.data)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "067ce0e9-cc59-427d-9d59-079092991301",
+   "metadata": {},
+   "source": [
+    "### 1.3 Обучение моделей"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "1eef0f0c-8956-4b2e-b1c7-4191e78bfed7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Coclustering...\n",
+      "Done in 5.62s. V-measure: 0.4415\n",
+      "MiniBatchKMeans...\n",
+      "Done in 1.40s. V-measure: 0.3015\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Инициализация моделей\n",
+    "cocluster = SpectralCoclustering(\n",
+    "    n_clusters=len(categories), svd_method=\"arpack\", random_state=0\n",
+    ")\n",
+    "kmeans = MiniBatchKMeans(\n",
+    "    n_clusters=len(categories), batch_size=20000, random_state=0, n_init=3\n",
+    ")\n",
+    "\n",
+    "# Обучение Spectral Co-clustering\n",
+    "print(\"Coclustering...\")\n",
+    "start_time = time()\n",
+    "cocluster.fit(X)\n",
+    "y_cocluster = cocluster.row_labels_\n",
+    "print(f\"Done in {time() - start_time:.2f}s. V-measure: {v_measure_score(y_cocluster, y_true):.4f}\")\n",
+    "\n",
+    "# Обучение MiniBatchKMeans\n",
+    "print(\"MiniBatchKMeans...\")\n",
+    "start_time = time()\n",
+    "y_kmeans = kmeans.fit_predict(X)\n",
+    "print(f\"Done in {time() - start_time:.2f}s. V-measure: {v_measure_score(y_kmeans, y_true):.4f}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ffe70635-8ac9-4038-a7b7-6fba38141441",
+   "metadata": {},
+   "source": [
+    "### 1.4 Анализ результатов\n",
+    "Выводим информацию о лучших бикластерах."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "8c166b37-814c-492b-a1e0-a4a367c88a7b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Best biclusters:\n",
+      "----------------\n",
+      "bicluster 0 : 8 documents, 6 words\n",
+      "categories   : 100% talk.politics.mideast\n",
+      "words        : cosmo, angmar, alfalfa, alphalpha, proline, benson\n",
+      "\n",
+      "bicluster 1 : 1948 documents, 4325 words\n",
+      "categories   : 23% talk.politics.guns, 18% talk.politics.misc, 17% sci.med\n",
+      "words        : gun, guns, geb, banks, gordon, clinton, pitt, cdt, surrender, veal\n",
+      "\n",
+      "bicluster 2 : 1259 documents, 3534 words\n",
+      "categories   : 27% soc.religion.christian, 25% talk.politics.mideast, 25% alt.atheism\n",
+      "words        : god, jesus, christians, kent, sin, objective, belief, christ, faith, moral\n",
+      "\n",
+      "bicluster 3 : 775 documents, 1623 words\n",
+      "categories   : 30% comp.windows.x, 25% comp.sys.ibm.pc.hardware, 20% comp.graphics\n",
+      "words        : scsi, nada, ide, vga, esdi, isa, kth, s3, vlb, bmug\n",
+      "\n",
+      "bicluster 4 : 2180 documents, 2802 words\n",
+      "categories   : 18% comp.sys.mac.hardware, 16% sci.electronics, 16% comp.sys.ibm.pc.hardware\n",
+      "words        : voltage, shipping, circuit, receiver, processing, scope, mpce, analog, kolstad, umass\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "feature_names = vectorizer.get_feature_names_out()\n",
+    "document_names = list(newsgroups.target_names[i] for i in newsgroups.target)\n",
+    "\n",
+    "def bicluster_ncut(i):\n",
+    "    \"\"\"Вычисляет normalized cut для бикластера\"\"\"\n",
+    "    rows, cols = cocluster.get_indices(i)\n",
+    "    if not (np.any(rows) and np.any(cols)):\n",
+    "        import sys\n",
+    "        return sys.float_info.max\n",
+    "    row_complement = np.nonzero(np.logical_not(cocluster.rows_[i]))[0]\n",
+    "    col_complement = np.nonzero(np.logical_not(cocluster.columns_[i]))[0]\n",
+    "    weight = X[rows][:, cols].sum()\n",
+    "    cut = X[row_complement][:, cols].sum() + X[rows][:, col_complement].sum()\n",
+    "    return cut / weight\n",
+    "\n",
+    "# Находим 5 лучших бикластеров\n",
+    "bicluster_ncuts = [bicluster_ncut(i) for i in range(len(newsgroups.target_names))]\n",
+    "best_idx = np.argsort(bicluster_ncuts)[:5]\n",
+    "\n",
+    "print(\"\\nBest biclusters:\")\n",
+    "print(\"----------------\")\n",
+    "for idx, cluster in enumerate(best_idx):\n",
+    "    n_rows, n_cols = cocluster.get_shape(cluster)\n",
+    "    cluster_docs, cluster_words = cocluster.get_indices(cluster)\n",
+    "    if not len(cluster_docs) or not len(cluster_words):\n",
+    "        continue\n",
+    "\n",
+    "    # Анализ категорий\n",
+    "    counter = Counter(document_names[doc] for doc in cluster_docs)\n",
+    "    cat_string = \", \".join(\n",
+    "        f\"{(c / n_rows * 100):.0f}% {name}\" for name, c in counter.most_common(3)\n",
+    "    )\n",
+    "\n",
+    "    # Анализ слов\n",
+    "    out_of_cluster_docs = cocluster.row_labels_ != cluster\n",
+    "    out_of_cluster_docs = np.where(out_of_cluster_docs)[0]\n",
+    "    word_col = X[:, cluster_words]\n",
+    "    word_scores = np.array(\n",
+    "        word_col[cluster_docs, :].sum(axis=0) - word_col[out_of_cluster_docs, :].sum(axis=0)\n",
+    "    )\n",
+    "    word_scores = word_scores.ravel()\n",
+    "    important_words = list(\n",
+    "        feature_names[cluster_words[i]] for i in word_scores.argsort()[:-11:-1]\n",
+    "    )\n",
+    "\n",
+    "    print(f\"bicluster {idx} : {n_rows} documents, {n_cols} words\")\n",
+    "    print(f\"categories   : {cat_string}\")\n",
+    "    print(f\"words        : {', '.join(important_words)}\\n\")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "60c0f67c-d371-4adc-9c0d-d1c5adc4b75f",
+   "metadata": {},
+   "source": [
+    "### 1.5 Визуализация результатов\n",
+    "Сравниваем результаты кластеризации по метрике V-measure."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "3d19b351-a57b-4de0-ae2a-b71cfcf4cf15",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Сравнение V-measure\n",
+    "plt.figure(figsize=(8, 5))\n",
+    "plt.bar(['Spectral Co-clustering', 'MiniBatchKMeans'], \n",
+    "        [v_measure_score(y_cocluster, y_true), v_measure_score(y_kmeans, y_true)])\n",
+    "plt.title('Сравнение методов кластеризации по V-measure')\n",
+    "plt.ylabel('V-measure')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b764e10c-184e-4fe2-be3b-41b684e93c4c",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ddb23f5d-791f-49cb-a044-e0a68153a0d5",
+   "metadata": {},
+   "source": [
+    "## 2. Работа с внешним датасетом \n",
+    "\n",
+    "### 2.1 Загрузка и подготовка данных\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "837d561a-25bf-4983-a768-07c3820b860b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "  Patient_ID  Age  Gender Smoking_Status  Years_Smoking  Cigarettes_Per_Day  \\\n",
+      "0    P100000   76  Female          Never              6                  37   \n",
+      "1    P100001   39    Male          Never             30                  39   \n",
+      "2    P100002   85    Male         Former             47                  14   \n",
+      "3    P100003   45  Female        Current             45                  32   \n",
+      "4    P100004   48  Female          Never             46                  26   \n",
+      "\n",
+      "  Secondhand_Smoke_Exposure Occupation_Exposure Air_Pollution_Level  \\\n",
+      "0                       Low        Diesel Fumes                 Low   \n",
+      "1                       Low              Silica                 Low   \n",
+      "2                      High            Asbestos                 Low   \n",
+      "3                    Medium              Silica                High   \n",
+      "4                    Medium              Silica                 Low   \n",
+      "\n",
+      "  Family_History  ... Diet_Quality  Region Income_Level Education_Level  \\\n",
+      "0            Yes  ...         Poor    West       Middle        Tertiary   \n",
+      "1            Yes  ...      Average   North       Middle         Primary   \n",
+      "2            Yes  ...         Good   South         High        Tertiary   \n",
+      "3             No  ...         Good    West          Low       Secondary   \n",
+      "4             No  ...         Good   North          Low        Tertiary   \n",
+      "\n",
+      "  Access_to_Healthcare Screening_Frequency Chronic_Lung_Disease  \\\n",
+      "0                 Good           Regularly                   No   \n",
+      "1                 Poor        Occasionally                  Yes   \n",
+      "2              Average           Regularly                   No   \n",
+      "3              Average               Never                  Yes   \n",
+      "4              Average           Regularly                   No   \n",
+      "\n",
+      "  Lung_Cancer_Stage Diagnosis_Year Survival_Status  \n",
+      "0          Stage II           2008           Alive  \n",
+      "1               NaN           2002           Alive  \n",
+      "2          Stage II           2007        Deceased  \n",
+      "3               NaN           2011           Alive  \n",
+      "4               NaN           2016           Alive  \n",
+      "\n",
+      "[5 rows x 24 columns]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\user\\AppData\\Local\\Temp\\ipykernel_8300\\3497225959.py:39: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  df_clean[\"Cluster\"] = model.row_labels_\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Bicluster 0 : 204 objects, 343 features\n",
+      "Top features: Patient_ID_P100000, Patient_ID_P100002, Patient_ID_P100006, Patient_ID_P100013, Patient_ID_P100035, Patient_ID_P100056, Patient_ID_P100066, Patient_ID_P100079, Patient_ID_P100081, Patient_ID_P100091\n",
+      "\n",
+      "Bicluster 1 : 0 objects, 1 features\n",
+      "Top features: BMI\n",
+      "\n",
+      "Bicluster 2 : 97 objects, 10 features\n",
+      "Top features: Years_Smoking, Cigarettes_Per_Day, Gender_Female, Occupation_Exposure_Silica, Air_Pollution_Level_High, Family_History_No, Physical_Activity_Level_Low, Region_West, Access_to_Healthcare_Good, Lung_Cancer_Stage_Stage I\n",
+      "\n",
+      "Bicluster 3 : 0 objects, 1 features\n",
+      "Top features: Diagnosis_Year\n",
+      "\n",
+      "Bicluster 4 : 0 objects, 1 features\n",
+      "Top features: Age\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "from sklearn.preprocessing import OneHotEncoder, StandardScaler\n",
+    "from sklearn.cluster import SpectralCoclustering\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "\n",
+    "# 1. Загрузка датасета\n",
+    "df = pd.read_csv(\"Lung_Cancer_Trends_Realistic.csv\")\n",
+    "\n",
+    "# Посмотрим на структуру данных\n",
+    "print(df.head())\n",
+    "\n",
+    "# 2. Предобработка\n",
+    "# Удалим строки с пропущенными значениями\n",
+    "df_clean = df.dropna()\n",
+    "\n",
+    "# Отделим категориальные и числовые признаки\n",
+    "categorical_cols = df_clean.select_dtypes(include=[\"object\", \"category\"]).columns\n",
+    "numeric_cols = df_clean.select_dtypes(include=[\"int64\", \"float64\"]).columns\n",
+    "\n",
+    "# One-Hot Encoding для категориальных признаков\n",
+    "encoder = OneHotEncoder(sparse_output=False)\n",
+    "encoded_cat = encoder.fit_transform(df_clean[categorical_cols])\n",
+    "\n",
+    "# Масштабирование числовых признаков\n",
+    "scaler = StandardScaler()\n",
+    "scaled_num = scaler.fit_transform(df_clean[numeric_cols])\n",
+    "\n",
+    "# Объединяем\n",
+    "X = np.hstack([scaled_num, encoded_cat])\n",
+    "\n",
+    "# 3. Обучение модели\n",
+    "n_clusters = 5  # количество кластеров, можно изменить\n",
+    "model = SpectralCoclustering(n_clusters=n_clusters, random_state=42)\n",
+    "model.fit(X)\n",
+    "\n",
+    "# 4. Присвоим кластеры объектам\n",
+    "df_clean[\"Cluster\"] = model.row_labels_\n",
+    "\n",
+    "# 5. Визуализация: тепловая карта по переставленным строкам\n",
+    "fit_data = X[np.argsort(model.row_labels_)]\n",
+    "plt.figure(figsize=(12, 6))\n",
+    "sns.heatmap(fit_data, cmap=\"viridis\", cbar=True)\n",
+    "plt.title(\"Спектральное ко-кластеризованное представление данных\")\n",
+    "plt.xlabel(\"Признаки\")\n",
+    "plt.ylabel(\"Объекты (переставлены по кластеру)\")\n",
+    "plt.show()\n",
+    "\n",
+    "# 6. Вывод информации по каждому кластеру, как в примере с newsgroups\n",
+    "\n",
+    "# Получаем имена признаков (категориальные + числовые)\n",
+    "feature_names = list(numeric_cols) + list(encoder.get_feature_names_out(categorical_cols))\n",
+    "\n",
+    "for i in range(n_clusters):\n",
+    "    row_idx = np.where(model.row_labels_ == i)[0]\n",
+    "    col_idx = np.where(model.column_labels_ == i)[0]\n",
+    "\n",
+    "    # Показываем информацию о кластере\n",
+    "    print(f\"\\nBicluster {i} : {len(row_idx)} objects, {len(col_idx)} features\")\n",
+    "    \n",
+    "    # Важнейшие признаки (топ-10)\n",
+    "    top_features = [feature_names[j] for j in col_idx[:10]]\n",
+    "    print(\"Top features:\", \", \".join(top_features))\n",
+    "\n",
+    "    # Распределение категорий (если имеется колонка 'Category' или что-то похожее)\n",
+    "    if 'Category' in df_clean.columns:\n",
+    "        cluster_labels = df_clean.loc[df_clean[\"Cluster\"] == i, \"Category\"]\n",
+    "        print(f\"Category distribution for Bicluster {i}:\")\n",
+    "        print(cluster_labels.value_counts(normalize=True).head())\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "d3aca8eb-11d9-4236-9726-1be6ba5ae44d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Patient_ID</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Gender</th>\n",
+       "      <th>Smoking_Status</th>\n",
+       "      <th>Years_Smoking</th>\n",
+       "      <th>Cigarettes_Per_Day</th>\n",
+       "      <th>Secondhand_Smoke_Exposure</th>\n",
+       "      <th>Occupation_Exposure</th>\n",
+       "      <th>Air_Pollution_Level</th>\n",
+       "      <th>Family_History</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Diet_Quality</th>\n",
+       "      <th>Region</th>\n",
+       "      <th>Income_Level</th>\n",
+       "      <th>Education_Level</th>\n",
+       "      <th>Access_to_Healthcare</th>\n",
+       "      <th>Screening_Frequency</th>\n",
+       "      <th>Chronic_Lung_Disease</th>\n",
+       "      <th>Lung_Cancer_Stage</th>\n",
+       "      <th>Diagnosis_Year</th>\n",
+       "      <th>Survival_Status</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>P100000</td>\n",
+       "      <td>76</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>Never</td>\n",
+       "      <td>6</td>\n",
+       "      <td>37</td>\n",
+       "      <td>Low</td>\n",
+       "      <td>Diesel Fumes</td>\n",
+       "      <td>Low</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Poor</td>\n",
+       "      <td>West</td>\n",
+       "      <td>Middle</td>\n",
+       "      <td>Tertiary</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Regularly</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Stage II</td>\n",
+       "      <td>2008</td>\n",
+       "      <td>Alive</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>P100001</td>\n",
+       "      <td>39</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>Never</td>\n",
+       "      <td>30</td>\n",
+       "      <td>39</td>\n",
+       "      <td>Low</td>\n",
+       "      <td>Silica</td>\n",
+       "      <td>Low</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Average</td>\n",
+       "      <td>North</td>\n",
+       "      <td>Middle</td>\n",
+       "      <td>Primary</td>\n",
+       "      <td>Poor</td>\n",
+       "      <td>Occasionally</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2002</td>\n",
+       "      <td>Alive</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>P100002</td>\n",
+       "      <td>85</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>Former</td>\n",
+       "      <td>47</td>\n",
+       "      <td>14</td>\n",
+       "      <td>High</td>\n",
+       "      <td>Asbestos</td>\n",
+       "      <td>Low</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>South</td>\n",
+       "      <td>High</td>\n",
+       "      <td>Tertiary</td>\n",
+       "      <td>Average</td>\n",
+       "      <td>Regularly</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Stage II</td>\n",
+       "      <td>2007</td>\n",
+       "      <td>Deceased</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>P100003</td>\n",
+       "      <td>45</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>Current</td>\n",
+       "      <td>45</td>\n",
+       "      <td>32</td>\n",
+       "      <td>Medium</td>\n",
+       "      <td>Silica</td>\n",
+       "      <td>High</td>\n",
+       "      <td>No</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>West</td>\n",
+       "      <td>Low</td>\n",
+       "      <td>Secondary</td>\n",
+       "      <td>Average</td>\n",
+       "      <td>Never</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2011</td>\n",
+       "      <td>Alive</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>P100004</td>\n",
+       "      <td>48</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>Never</td>\n",
+       "      <td>46</td>\n",
+       "      <td>26</td>\n",
+       "      <td>Medium</td>\n",
+       "      <td>Silica</td>\n",
+       "      <td>Low</td>\n",
+       "      <td>No</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>North</td>\n",
+       "      <td>Low</td>\n",
+       "      <td>Tertiary</td>\n",
+       "      <td>Average</td>\n",
+       "      <td>Regularly</td>\n",
+       "      <td>No</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>Alive</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 24 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  Patient_ID  Age  Gender Smoking_Status  Years_Smoking  Cigarettes_Per_Day  \\\n",
+       "0    P100000   76  Female          Never              6                  37   \n",
+       "1    P100001   39    Male          Never             30                  39   \n",
+       "2    P100002   85    Male         Former             47                  14   \n",
+       "3    P100003   45  Female        Current             45                  32   \n",
+       "4    P100004   48  Female          Never             46                  26   \n",
+       "\n",
+       "  Secondhand_Smoke_Exposure Occupation_Exposure Air_Pollution_Level  \\\n",
+       "0                       Low        Diesel Fumes                 Low   \n",
+       "1                       Low              Silica                 Low   \n",
+       "2                      High            Asbestos                 Low   \n",
+       "3                    Medium              Silica                High   \n",
+       "4                    Medium              Silica                 Low   \n",
+       "\n",
+       "  Family_History  ... Diet_Quality  Region Income_Level Education_Level  \\\n",
+       "0            Yes  ...         Poor    West       Middle        Tertiary   \n",
+       "1            Yes  ...      Average   North       Middle         Primary   \n",
+       "2            Yes  ...         Good   South         High        Tertiary   \n",
+       "3             No  ...         Good    West          Low       Secondary   \n",
+       "4             No  ...         Good   North          Low        Tertiary   \n",
+       "\n",
+       "  Access_to_Healthcare Screening_Frequency Chronic_Lung_Disease  \\\n",
+       "0                 Good           Regularly                   No   \n",
+       "1                 Poor        Occasionally                  Yes   \n",
+       "2              Average           Regularly                   No   \n",
+       "3              Average               Never                  Yes   \n",
+       "4              Average           Regularly                   No   \n",
+       "\n",
+       "  Lung_Cancer_Stage Diagnosis_Year Survival_Status  \n",
+       "0          Stage II           2008           Alive  \n",
+       "1               NaN           2002           Alive  \n",
+       "2          Stage II           2007        Deceased  \n",
+       "3               NaN           2011           Alive  \n",
+       "4               NaN           2016           Alive  \n",
+       "\n",
+       "[5 rows x 24 columns]"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "from sklearn.preprocessing import OneHotEncoder, StandardScaler\n",
+    "from sklearn.cluster import SpectralCoclustering\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "\n",
+    "df = pd.read_csv(\"Lung_Cancer_Trends_Realistic.csv\")\n",
+    "\n",
+    "# Посмотрим на структуру данных\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fbaa5791-49c3-483b-8a05-fd9e9355137c",
+   "metadata": {},
+   "source": [
+    "### 2.2 Очистка данных"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "bf3c8140-269c-4a4d-8de6-96e954e3e9c5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Удалим строки с пропущенными значениями\n",
+    "df_clean = df.dropna()\n",
+    "\n",
+    "# Отделим категориальные и числовые признаки\n",
+    "categorical_cols = df_clean.select_dtypes(include=[\"object\", \"category\"]).columns\n",
+    "numeric_cols = df_clean.select_dtypes(include=[\"int64\", \"float64\"]).columns\n",
+    "\n",
+    "# One-Hot Encoding для категориальных признаков\n",
+    "encoder = OneHotEncoder(sparse_output=False)\n",
+    "encoded_cat = encoder.fit_transform(df_clean[categorical_cols])\n",
+    "\n",
+    "# Масштабирование числовых признаков\n",
+    "scaler = StandardScaler()\n",
+    "scaled_num = scaler.fit_transform(df_clean[numeric_cols])\n",
+    "\n",
+    "# Объединяем\n",
+    "X = np.hstack([scaled_num, encoded_cat])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "29b63bd0-181b-4c1f-a4c6-0b107eab164d",
+   "metadata": {},
+   "source": [
+    "### 2.3 Обучение модели"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "1de28a36-b569-4b7e-9d7e-216f58936961",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-2 {\n",
+       "  /* Definition of color scheme common for light and dark mode */\n",
+       "  --sklearn-color-text: #000;\n",
+       "  --sklearn-color-text-muted: #666;\n",
+       "  --sklearn-color-line: gray;\n",
+       "  /* Definition of color scheme for unfitted estimators */\n",
+       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
+       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
+       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
+       "  --sklearn-color-unfitted-level-3: chocolate;\n",
+       "  /* Definition of color scheme for fitted estimators */\n",
+       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
+       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
+       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
+       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
+       "\n",
+       "  /* Specific color for light theme */\n",
+       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
+       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-icon: #696969;\n",
+       "\n",
+       "  @media (prefers-color-scheme: dark) {\n",
+       "    /* Redefinition of color scheme for dark theme */\n",
+       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
+       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-icon: #878787;\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 pre {\n",
+       "  padding: 0;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 input.sk-hidden--visually {\n",
+       "  border: 0;\n",
+       "  clip: rect(1px 1px 1px 1px);\n",
+       "  clip: rect(1px, 1px, 1px, 1px);\n",
+       "  height: 1px;\n",
+       "  margin: -1px;\n",
+       "  overflow: hidden;\n",
+       "  padding: 0;\n",
+       "  position: absolute;\n",
+       "  width: 1px;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-dashed-wrapped {\n",
+       "  border: 1px dashed var(--sklearn-color-line);\n",
+       "  margin: 0 0.4em 0.5em 0.4em;\n",
+       "  box-sizing: border-box;\n",
+       "  padding-bottom: 0.4em;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-container {\n",
+       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
+       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
+       "     so we also need the `!important` here to be able to override the\n",
+       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
+       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
+       "  display: inline-block !important;\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-text-repr-fallback {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-parallel-item,\n",
+       "div.sk-serial,\n",
+       "div.sk-item {\n",
+       "  /* draw centered vertical line to link estimators */\n",
+       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
+       "  background-size: 2px 100%;\n",
+       "  background-repeat: no-repeat;\n",
+       "  background-position: center center;\n",
+       "}\n",
+       "\n",
+       "/* Parallel-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-2 div.sk-parallel-item::after {\n",
+       "  content: \"\";\n",
+       "  width: 100%;\n",
+       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
+       "  flex-grow: 1;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-parallel {\n",
+       "  display: flex;\n",
+       "  align-items: stretch;\n",
+       "  justify-content: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-parallel-item {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-parallel-item:first-child::after {\n",
+       "  align-self: flex-end;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-parallel-item:last-child::after {\n",
+       "  align-self: flex-start;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-parallel-item:only-child::after {\n",
+       "  width: 0;\n",
+       "}\n",
+       "\n",
+       "/* Serial-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-2 div.sk-serial {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "  align-items: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  padding-right: 1em;\n",
+       "  padding-left: 1em;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
+       "clickable and can be expanded/collapsed.\n",
+       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
+       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
+       "*/\n",
+       "\n",
+       "/* Pipeline and ColumnTransformer style (default) */\n",
+       "\n",
+       "#sk-container-id-2 div.sk-toggleable {\n",
+       "  /* Default theme specific background. It is overwritten whether we have a\n",
+       "  specific estimator or a Pipeline/ColumnTransformer */\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable label */\n",
+       "#sk-container-id-2 label.sk-toggleable__label {\n",
+       "  cursor: pointer;\n",
+       "  display: flex;\n",
+       "  width: 100%;\n",
+       "  margin-bottom: 0;\n",
+       "  padding: 0.5em;\n",
+       "  box-sizing: border-box;\n",
+       "  text-align: center;\n",
+       "  align-items: start;\n",
+       "  justify-content: space-between;\n",
+       "  gap: 0.5em;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 label.sk-toggleable__label .caption {\n",
+       "  font-size: 0.6rem;\n",
+       "  font-weight: lighter;\n",
+       "  color: var(--sklearn-color-text-muted);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 label.sk-toggleable__label-arrow:before {\n",
+       "  /* Arrow on the left of the label */\n",
+       "  content: \"▸\";\n",
+       "  float: left;\n",
+       "  margin-right: 0.25em;\n",
+       "  color: var(--sklearn-color-icon);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable content - dropdown */\n",
+       "\n",
+       "#sk-container-id-2 div.sk-toggleable__content {\n",
+       "  max-height: 0;\n",
+       "  max-width: 0;\n",
+       "  overflow: hidden;\n",
+       "  text-align: left;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-toggleable__content.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-toggleable__content pre {\n",
+       "  margin: 0.2em;\n",
+       "  border-radius: 0.25em;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-toggleable__content.fitted pre {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
+       "  /* Expand drop-down */\n",
+       "  max-height: 200px;\n",
+       "  max-width: 100%;\n",
+       "  overflow: auto;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
+       "  content: \"▾\";\n",
+       "}\n",
+       "\n",
+       "/* Pipeline/ColumnTransformer-specific style */\n",
+       "\n",
+       "#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific style */\n",
+       "\n",
+       "/* Colorize estimator box */\n",
+       "#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-label label.sk-toggleable__label,\n",
+       "#sk-container-id-2 div.sk-label label {\n",
+       "  /* The background is the default theme color */\n",
+       "  color: var(--sklearn-color-text-on-default-background);\n",
+       "}\n",
+       "\n",
+       "/* On hover, darken the color of the background */\n",
+       "#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Label box, darken color on hover, fitted */\n",
+       "#sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator label */\n",
+       "\n",
+       "#sk-container-id-2 div.sk-label label {\n",
+       "  font-family: monospace;\n",
+       "  font-weight: bold;\n",
+       "  display: inline-block;\n",
+       "  line-height: 1.2em;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-label-container {\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific */\n",
+       "#sk-container-id-2 div.sk-estimator {\n",
+       "  font-family: monospace;\n",
+       "  border: 1px dotted var(--sklearn-color-border-box);\n",
+       "  border-radius: 0.25em;\n",
+       "  box-sizing: border-box;\n",
+       "  margin-bottom: 0.5em;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-estimator.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "/* on hover */\n",
+       "#sk-container-id-2 div.sk-estimator:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-estimator.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
+       "\n",
+       "/* Common style for \"i\" and \"?\" */\n",
+       "\n",
+       ".sk-estimator-doc-link,\n",
+       "a:link.sk-estimator-doc-link,\n",
+       "a:visited.sk-estimator-doc-link {\n",
+       "  float: right;\n",
+       "  font-size: smaller;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1em;\n",
+       "  height: 1em;\n",
+       "  width: 1em;\n",
+       "  text-decoration: none !important;\n",
+       "  margin-left: 0.5em;\n",
+       "  text-align: center;\n",
+       "  /* unfitted */\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted,\n",
+       "a:link.sk-estimator-doc-link.fitted,\n",
+       "a:visited.sk-estimator-doc-link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "/* Span, style for the box shown on hovering the info icon */\n",
+       ".sk-estimator-doc-link span {\n",
+       "  display: none;\n",
+       "  z-index: 9999;\n",
+       "  position: relative;\n",
+       "  font-weight: normal;\n",
+       "  right: .2ex;\n",
+       "  padding: .5ex;\n",
+       "  margin: .5ex;\n",
+       "  width: min-content;\n",
+       "  min-width: 20ex;\n",
+       "  max-width: 50ex;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  box-shadow: 2pt 2pt 4pt #999;\n",
+       "  /* unfitted */\n",
+       "  background: var(--sklearn-color-unfitted-level-0);\n",
+       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted span {\n",
+       "  /* fitted */\n",
+       "  background: var(--sklearn-color-fitted-level-0);\n",
+       "  border: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link:hover span {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
+       "\n",
+       "#sk-container-id-2 a.estimator_doc_link {\n",
+       "  float: right;\n",
+       "  font-size: 1rem;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1rem;\n",
+       "  height: 1rem;\n",
+       "  width: 1rem;\n",
+       "  text-decoration: none;\n",
+       "  /* unfitted */\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 a.estimator_doc_link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "#sk-container-id-2 a.estimator_doc_link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 a.estimator_doc_link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>SpectralCoclustering(n_clusters=5, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>SpectralCoclustering</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.cluster.SpectralCoclustering.html\">?<span>Documentation for SpectralCoclustering</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>SpectralCoclustering(n_clusters=5, random_state=42)</pre></div> </div></div></div></div>"
+      ],
+      "text/plain": [
+       "SpectralCoclustering(n_clusters=5, random_state=42)"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "n_clusters = 5  # количество кластеров, можно изменить\n",
+    "model = SpectralCoclustering(n_clusters=n_clusters, random_state=42)\n",
+    "model.fit(X)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0dcc3335-3a64-448c-8c7a-7144974f52ca",
+   "metadata": {},
+   "source": [
+    "### 2.4 Присвоение кластеров"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "60a41ec0-ddfb-4a3f-818e-06f7a5dcda0f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\user\\AppData\\Local\\Temp\\ipykernel_8300\\3849030686.py:1: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  df_clean[\"Cluster\"] = model.row_labels_\n"
+     ]
+    }
+   ],
+   "source": [
+    "df_clean[\"Cluster\"] = model.row_labels_"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "72e8393e-f745-4b5e-9b6d-a5a31b317e1e",
+   "metadata": {},
+   "source": [
+    "### 2.5 Визуализация результатов"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "696afb4c-e7a9-4182-8fef-4d97f03a49f6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fit_data = X[np.argsort(model.row_labels_)]\n",
+    "plt.figure(figsize=(12, 6))\n",
+    "sns.heatmap(fit_data, cmap=\"viridis\", cbar=True)\n",
+    "plt.title(\"Спектральное ко-кластеризованное представление данных\")\n",
+    "plt.xlabel(\"Признаки\")\n",
+    "plt.ylabel(\"Объекты (переставлены по кластеру)\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "01e38c78-7641-4390-88c6-6a9a69d3ec46",
+   "metadata": {},
+   "source": [
+    "### 2.6 Вывод информации о кластерах"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "a378a466-7641-4d5f-bc12-810a754165ce",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Bicluster 0 : 204 objects, 343 features\n",
+      "Top features: Patient_ID_P100000, Patient_ID_P100002, Patient_ID_P100006, Patient_ID_P100013, Patient_ID_P100035, Patient_ID_P100056, Patient_ID_P100066, Patient_ID_P100079, Patient_ID_P100081, Patient_ID_P100091\n",
+      "\n",
+      "Bicluster 1 : 0 objects, 1 features\n",
+      "Top features: BMI\n",
+      "\n",
+      "Bicluster 2 : 97 objects, 10 features\n",
+      "Top features: Years_Smoking, Cigarettes_Per_Day, Gender_Female, Occupation_Exposure_Silica, Air_Pollution_Level_High, Family_History_No, Physical_Activity_Level_Low, Region_West, Access_to_Healthcare_Good, Lung_Cancer_Stage_Stage I\n",
+      "\n",
+      "Bicluster 3 : 0 objects, 1 features\n",
+      "Top features: Diagnosis_Year\n",
+      "\n",
+      "Bicluster 4 : 0 objects, 1 features\n",
+      "Top features: Age\n"
+     ]
+    }
+   ],
+   "source": [
+    "feature_names = list(numeric_cols) + list(encoder.get_feature_names_out(categorical_cols))\n",
+    "\n",
+    "for i in range(n_clusters):\n",
+    "    row_idx = np.where(model.row_labels_ == i)[0]\n",
+    "    col_idx = np.where(model.column_labels_ == i)[0]\n",
+    "\n",
+    "    # Показываем информацию о кластере\n",
+    "    print(f\"\\nBicluster {i} : {len(row_idx)} objects, {len(col_idx)} features\")\n",
+    "    \n",
+    "    # Важнейшие признаки (топ-10)\n",
+    "    top_features = [feature_names[j] for j in col_idx[:10]]\n",
+    "    print(\"Top features:\", \", \".join(top_features))\n",
+    "\n",
+    "    # Распределение категорий (если имеется колонка 'Category' или что-то похожее)\n",
+    "    if 'Category' in df_clean.columns:\n",
+    "        cluster_labels = df_clean.loc[df_clean[\"Cluster\"] == i, \"Category\"]\n",
+    "        print(f\"Category distribution for Bicluster {i}:\")\n",
+    "        print(cluster_labels.value_counts(normalize=True).head())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cbf8dd70-eddc-456d-8a2d-97482264c234",
+   "metadata": {},
+   "source": [
+    "## Интерпретация результатов\n",
+    "\n",
+    "1. **На встроенном датасете (20 newsgroups):**\n",
+    "   - Spectral Co-clustering показал лучшие результаты (V-measure=0.4415) по сравнению с MiniBatchKMeans (V-measure=0.3015)\n",
+    "   - Алгоритм смог найти осмысленные бикластеры, объединяющие документы по темам и характерные для них слова\n",
+    "\n",
+    "2. **На внешнем датасете:**\n",
+    "   - Алгоритм Spectral Co-clustering выделил группы пациентов и признаки, которые часто встречаются вместе. Например, один кластер может соответствовать группе людей с высоким уровнем курения и одновременно низкой физической активностью.\n",
+    "\n",
+    "    - Выделенные бикластеры помогают выявить взаимосвязи между определёнными признаками риска и группами наблюдений.\n",
+    "\n",
+    "    - Однако, интерпретация результатов требует медицинского контекста — значения кластеров следует сопоставлять с экспертными знаниями о факторах риска (например, влияние курения, алкоголя, активности и других переменных на здоровье).\n",
+    "\n",
+    "3. **Выводы**\n",
+    "    - Spectral Co-clustering эффективен для задач совместной кластеризации строк и столбцов матрицы данных\n",
+    "    - Особенно полезен для текстовых данных, где можно одновременно кластеризовать документы и слова\n",
+    "    - Требует настройки параметров (количество кластеров, метод SVD) для оптимальной работы"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Lung_Cancer_Trends_Realistic.csv b/Lung_Cancer_Trends_Realistic.csv
new file mode 100644
index 0000000..2e7abfb
--- /dev/null
+++ b/Lung_Cancer_Trends_Realistic.csv
@@ -0,0 +1,3001 @@
+Patient_ID,Age,Gender,Smoking_Status,Years_Smoking,Cigarettes_Per_Day,Secondhand_Smoke_Exposure,Occupation_Exposure,Air_Pollution_Level,Family_History,Genetic_Markers_Positive,BMI,Physical_Activity_Level,Alcohol_Consumption,Diet_Quality,Region,Income_Level,Education_Level,Access_to_Healthcare,Screening_Frequency,Chronic_Lung_Disease,Lung_Cancer_Stage,Diagnosis_Year,Survival_Status
+P100000,76,Female,Never,6,37,Low,Diesel Fumes,Low,Yes,No,24.6,Moderate,Moderate,Poor,West,Middle,Tertiary,Good,Regularly,No,Stage II,2008,Alive
+P100001,39,Male,Never,30,39,Low,Silica,Low,Yes,No,17.5,Moderate,Moderate,Average,North,Middle,Primary,Poor,Occasionally,Yes,None,2002,Alive
+P100002,85,Male,Former,47,14,High,Asbestos,Low,Yes,Yes,33.6,High,High,Good,South,High,Tertiary,Average,Regularly,No,Stage II,2007,Deceased
+P100003,45,Female,Current,45,32,Medium,Silica,High,No,No,23.2,Moderate,Moderate,Good,West,Low,Secondary,Average,Never,Yes,None,2011,Alive
+P100004,48,Female,Never,46,26,Medium,Silica,Low,No,Yes,22.9,High,High,Good,North,Low,Tertiary,Average,Regularly,No,None,2016,Alive
+P100005,27,Male,Current,13,28,Low,Silica,High,No,Yes,24.6,Low,Moderate,Poor,East,Middle,Tertiary,Average,Regularly,No,None,2013,Alive
+P100006,46,Female,Current,27,36,Low,Asbestos,High,Yes,No,23.7,Low,High,Good,West,Middle,Primary,Good,Occasionally,Yes,Stage II,2015,Deceased
+P100007,77,Female,Never,42,4,Low,None,Low,Yes,No,16.3,Moderate,High,Poor,East,High,Primary,Good,Regularly,No,Stage III,2018,Alive
+P100008,26,Female,Never,15,28,Medium,Silica,Low,No,No,27.9,Low,None,Poor,South,Middle,Tertiary,Poor,Never,No,None,2003,Alive
+P100009,54,Female,Never,18,31,Medium,Diesel Fumes,Low,Yes,No,20.9,High,None,Good,West,Middle,Secondary,Average,Never,No,None,2002,Alive
+P100010,62,Male,Never,16,5,Low,Asbestos,High,Yes,No,23.4,High,High,Good,North,Middle,Tertiary,Good,Never,No,None,2012,Alive
+P100011,26,Female,Never,25,1,High,Diesel Fumes,High,No,No,33.8,Low,None,Poor,North,Middle,Secondary,Average,Never,No,None,2008,Alive
+P100012,88,Male,Former,5,5,Medium,Silica,Low,Yes,No,29.7,High,None,Good,East,Low,Secondary,Poor,Occasionally,No,Stage IV,2012,Deceased
+P100013,84,Male,Never,42,3,Medium,Asbestos,Low,Yes,No,33.1,High,Moderate,Average,North,High,Tertiary,Average,Regularly,No,Stage IV,2011,Alive
+P100014,45,Male,Former,48,28,Low,Silica,Moderate,Yes,No,21.6,Moderate,None,Poor,South,Low,Secondary,Good,Regularly,No,Stage I,2020,Alive
+P100015,57,Male,Current,8,24,High,Diesel Fumes,Low,Yes,No,28.7,Moderate,Moderate,Poor,South,Middle,Primary,Good,Regularly,No,None,2014,Alive
+P100016,82,Female,Current,49,8,Low,Asbestos,Moderate,Yes,No,27.0,High,None,Good,East,High,Secondary,Poor,Regularly,No,None,2002,Deceased
+P100017,46,Female,Current,16,2,Low,None,Moderate,Yes,No,24.7,Low,None,Good,West,High,Secondary,Poor,Never,No,None,2002,Alive
+P100018,73,Male,Never,30,25,High,None,High,No,No,21.2,High,High,Poor,North,Low,Secondary,Average,Occasionally,No,None,2001,Alive
+P100019,83,Male,Former,11,26,High,None,High,No,No,30.4,Moderate,None,Poor,South,Low,Primary,Average,Regularly,Yes,None,2005,Alive
+P100020,66,Male,Former,22,35,High,Silica,Moderate,Yes,No,22.4,Low,High,Poor,West,Middle,Primary,Good,Regularly,No,None,2024,Alive
+P100021,84,Male,Never,4,31,Medium,Asbestos,Moderate,No,No,25.7,High,High,Good,South,Low,Tertiary,Good,Occasionally,Yes,None,2015,Alive
+P100022,39,Female,Never,42,0,Low,Diesel Fumes,Low,No,No,29.6,Low,High,Poor,South,Middle,Secondary,Good,Regularly,No,None,2022,Alive
+P100023,86,Male,Current,35,15,Medium,Diesel Fumes,Moderate,No,Yes,20.1,Low,High,Average,West,Middle,Primary,Poor,Occasionally,No,None,2017,Alive
+P100024,86,Female,Current,35,10,High,Silica,Low,Yes,No,19.6,Low,None,Average,West,Middle,Secondary,Poor,Regularly,Yes,None,2008,Alive
+P100025,71,Male,Former,2,25,Medium,Silica,High,No,No,37.6,High,High,Good,North,High,Secondary,Poor,Occasionally,No,None,2002,Alive
+P100026,86,Male,Former,23,39,High,Diesel Fumes,Low,Yes,No,20.7,Moderate,None,Poor,East,High,Tertiary,Average,Regularly,No,None,2022,Alive
+P100027,75,Male,Former,16,0,High,Asbestos,High,No,No,33.1,Low,None,Poor,East,Low,Secondary,Poor,Never,No,Stage IV,2022,Alive
+P100028,79,Male,Never,38,25,Low,Silica,Moderate,No,No,24.7,Low,Moderate,Average,South,Low,Primary,Average,Regularly,No,None,2015,Alive
+P100029,88,Female,Former,25,27,Low,Asbestos,Moderate,Yes,No,22.9,High,Moderate,Poor,East,High,Tertiary,Average,Never,No,None,2003,Alive
+P100030,27,Female,Never,3,8,Low,Diesel Fumes,Moderate,No,Yes,23.4,Moderate,Moderate,Good,South,Low,Tertiary,Average,Occasionally,No,None,2013,Alive
+P100031,75,Female,Never,44,21,Medium,Asbestos,Low,Yes,No,24.7,Moderate,High,Good,West,Middle,Secondary,Poor,Never,Yes,None,2003,Alive
+P100032,31,Male,Current,11,7,Low,None,High,No,No,31.7,High,None,Good,South,Middle,Secondary,Good,Regularly,Yes,None,2017,Alive
+P100033,45,Male,Former,0,26,High,Diesel Fumes,High,No,No,28.8,Low,None,Poor,North,High,Primary,Poor,Never,No,None,2017,Alive
+P100034,63,Female,Current,20,38,Low,None,High,No,No,23.9,High,High,Poor,South,Low,Secondary,Poor,Never,No,Stage I,2017,Alive
+P100035,42,Female,Former,18,18,Medium,Diesel Fumes,High,No,No,15.7,Moderate,Moderate,Average,South,Low,Primary,Poor,Regularly,No,Stage II,2020,Alive
+P100036,28,Male,Former,20,24,Low,None,High,Yes,No,25.1,Low,Moderate,Average,North,High,Secondary,Average,Occasionally,No,None,2002,Alive
+P100037,84,Male,Never,17,37,Low,Asbestos,Low,Yes,No,25.7,Low,None,Good,North,Middle,Primary,Good,Never,No,None,2006,Alive
+P100038,38,Female,Never,42,20,Low,Diesel Fumes,High,No,No,31.3,Moderate,None,Poor,East,Middle,Secondary,Poor,Regularly,No,None,2012,Alive
+P100039,33,Male,Never,2,23,Medium,Diesel Fumes,Moderate,Yes,No,17.6,Low,None,Poor,West,Low,Tertiary,Poor,Never,No,None,2006,Alive
+P100040,77,Male,Current,48,23,High,None,High,No,No,22.5,High,Moderate,Good,West,High,Primary,Average,Occasionally,No,None,2021,Alive
+P100041,26,Female,Current,43,18,High,Asbestos,Moderate,Yes,No,22.4,Moderate,None,Good,North,High,Tertiary,Poor,Occasionally,No,None,2012,Alive
+P100042,84,Male,Former,31,1,High,Diesel Fumes,Low,Yes,No,24.7,Moderate,Moderate,Average,West,Middle,Tertiary,Poor,Occasionally,No,None,2023,Alive
+P100043,68,Female,Former,9,13,Low,Silica,Low,Yes,No,25.5,Low,Moderate,Average,South,Middle,Tertiary,Average,Never,Yes,None,2003,Alive
+P100044,32,Male,Current,39,31,Low,None,Moderate,No,Yes,27.2,Moderate,Moderate,Good,West,Low,Tertiary,Poor,Regularly,No,None,2015,Alive
+P100045,71,Female,Never,14,31,Medium,Diesel Fumes,High,Yes,No,15.5,High,High,Poor,North,High,Primary,Good,Occasionally,No,None,2024,Alive
+P100046,59,Male,Never,4,27,High,Asbestos,Low,Yes,No,25.9,Moderate,High,Average,West,Low,Secondary,Average,Regularly,No,None,2014,Alive
+P100047,60,Female,Former,3,38,Low,Asbestos,Low,No,No,26.2,Low,None,Good,North,Low,Tertiary,Good,Occasionally,No,Stage I,2012,Deceased
+P100048,74,Female,Current,27,39,Low,Asbestos,Low,No,No,25.4,Moderate,Moderate,Poor,East,High,Secondary,Poor,Never,No,None,2009,Alive
+P100049,28,Female,Current,3,39,Low,Asbestos,High,No,No,24.1,Low,None,Good,North,High,Primary,Average,Never,No,None,2009,Alive
+P100050,26,Female,Never,14,12,Medium,None,Moderate,Yes,No,7.9,Low,Moderate,Poor,South,Middle,Secondary,Average,Occasionally,No,None,2004,Alive
+P100051,30,Male,Current,16,11,High,Diesel Fumes,Moderate,Yes,No,27.8,High,None,Average,South,High,Primary,Poor,Regularly,No,Stage IV,2003,Alive
+P100052,78,Male,Current,43,7,Medium,None,High,Yes,No,20.1,Moderate,None,Poor,South,Low,Secondary,Good,Regularly,Yes,Stage I,2018,Alive
+P100053,28,Female,Never,2,14,High,None,Low,Yes,No,28.1,High,High,Poor,North,Low,Primary,Poor,Occasionally,Yes,None,2014,Alive
+P100054,78,Male,Former,9,25,High,Asbestos,High,Yes,No,31.3,High,High,Good,North,High,Primary,Average,Never,No,None,2008,Alive
+P100055,87,Male,Former,46,11,Low,Silica,High,Yes,Yes,16.6,Moderate,High,Poor,South,Low,Secondary,Average,Regularly,No,None,2015,Alive
+P100056,42,Male,Current,41,26,Low,Asbestos,Moderate,No,No,27.9,High,High,Average,West,High,Tertiary,Average,Regularly,No,Stage I,2003,Alive
+P100057,68,Male,Never,22,17,Low,Silica,High,Yes,No,18.8,High,Moderate,Good,North,Middle,Tertiary,Poor,Never,No,None,2024,Alive
+P100058,58,Male,Current,17,35,Low,None,High,Yes,No,24.8,Low,None,Good,West,Middle,Secondary,Poor,Regularly,No,None,2010,Alive
+P100059,86,Female,Former,0,26,Low,Asbestos,Low,Yes,No,24.4,High,None,Good,East,High,Tertiary,Poor,Occasionally,No,None,2016,Alive
+P100060,38,Female,Current,34,8,High,Asbestos,Low,No,No,28.8,Moderate,Moderate,Good,East,Low,Tertiary,Good,Never,Yes,None,2020,Alive
+P100061,72,Female,Former,30,38,Low,None,Moderate,Yes,Yes,28.0,Low,Moderate,Good,East,High,Primary,Good,Occasionally,No,None,2000,Deceased
+P100062,39,Female,Former,43,0,Low,Asbestos,Low,No,No,26.3,High,None,Good,East,High,Secondary,Good,Never,No,None,2008,Alive
+P100063,86,Male,Current,0,6,Medium,Diesel Fumes,High,Yes,No,16.8,High,High,Good,South,Middle,Tertiary,Average,Occasionally,No,None,2011,Alive
+P100064,64,Male,Current,2,25,Medium,Silica,High,No,No,12.4,Moderate,High,Average,North,High,Tertiary,Good,Occasionally,No,None,2022,Alive
+P100065,77,Female,Current,2,6,High,Silica,High,No,No,29.6,High,High,Average,East,Middle,Tertiary,Average,Occasionally,No,None,2011,Alive
+P100066,48,Male,Never,36,6,High,Silica,Moderate,No,No,28.7,Moderate,Moderate,Good,South,Middle,Secondary,Good,Regularly,No,Stage I,2009,Alive
+P100067,50,Male,Current,18,7,Medium,Asbestos,Low,Yes,No,20.0,High,None,Poor,East,High,Tertiary,Good,Regularly,Yes,None,2008,Alive
+P100068,84,Female,Never,28,15,Medium,Diesel Fumes,High,No,Yes,26.7,High,Moderate,Good,North,High,Tertiary,Average,Occasionally,No,None,2020,Alive
+P100069,65,Male,Former,24,2,Low,Asbestos,Low,Yes,No,24.0,Moderate,None,Good,East,High,Tertiary,Poor,Occasionally,No,Stage III,2024,Alive
+P100070,53,Female,Former,32,9,Low,Silica,Low,No,No,30.4,Low,High,Good,East,High,Primary,Good,Never,No,None,2019,Alive
+P100071,39,Female,Former,35,6,High,Asbestos,Low,Yes,No,25.4,Moderate,High,Poor,West,Middle,Secondary,Average,Regularly,No,None,2015,Alive
+P100072,69,Male,Former,28,20,Medium,Silica,Low,No,Yes,29.5,Low,High,Average,West,High,Tertiary,Poor,Occasionally,No,None,2012,Alive
+P100073,89,Male,Current,25,36,High,None,Moderate,No,No,21.9,Low,None,Poor,West,Middle,Primary,Poor,Regularly,No,Stage IV,2002,Alive
+P100074,33,Female,Never,3,30,Low,Silica,Moderate,Yes,No,26.4,Moderate,High,Poor,West,Middle,Secondary,Poor,Never,Yes,None,2017,Alive
+P100075,25,Female,Current,48,22,High,None,Moderate,No,No,22.9,Moderate,None,Poor,East,Low,Primary,Average,Occasionally,No,Stage I,2003,Alive
+P100076,32,Male,Former,13,26,High,None,High,Yes,Yes,21.9,High,Moderate,Poor,East,Middle,Primary,Good,Regularly,No,None,2018,Deceased
+P100077,87,Female,Never,49,21,High,None,High,No,No,13.4,High,High,Good,West,Low,Secondary,Good,Never,No,None,2024,Deceased
+P100078,35,Female,Never,26,38,Low,Silica,High,No,No,29.6,Low,Moderate,Average,North,High,Tertiary,Good,Occasionally,Yes,None,2012,Alive
+P100079,32,Female,Current,32,26,High,Diesel Fumes,Moderate,Yes,No,33.7,High,Moderate,Poor,South,Low,Tertiary,Poor,Regularly,Yes,Stage II,2012,Alive
+P100080,59,Male,Current,21,3,Low,Silica,Low,Yes,No,18.1,Moderate,None,Average,East,High,Primary,Good,Never,No,None,2011,Alive
+P100081,59,Female,Current,47,23,Medium,Asbestos,Moderate,Yes,No,28.5,Low,Moderate,Good,West,Middle,Secondary,Average,Never,No,Stage III,2023,Alive
+P100082,57,Male,Current,2,22,High,Asbestos,High,No,No,28.3,High,None,Good,South,Low,Secondary,Good,Regularly,No,None,2000,Deceased
+P100083,29,Female,Never,22,18,High,Diesel Fumes,High,Yes,No,22.4,High,None,Average,West,High,Tertiary,Good,Occasionally,No,None,2001,Alive
+P100084,65,Male,Former,20,2,Low,Diesel Fumes,Low,Yes,No,21.3,Moderate,Moderate,Good,West,High,Primary,Good,Regularly,No,None,2002,Alive
+P100085,52,Female,Current,40,26,High,Diesel Fumes,Moderate,No,Yes,30.9,Moderate,None,Average,North,Low,Tertiary,Good,Never,No,Stage II,2021,Alive
+P100086,31,Male,Former,22,2,Low,None,Low,Yes,No,30.4,High,None,Poor,North,Low,Secondary,Average,Never,Yes,None,2020,Alive
+P100087,36,Male,Former,3,27,High,Diesel Fumes,Moderate,Yes,Yes,27.3,Low,None,Good,East,High,Secondary,Good,Occasionally,No,None,2020,Alive
+P100088,58,Male,Former,20,16,Medium,Diesel Fumes,High,No,No,22.4,Low,Moderate,Good,West,High,Tertiary,Poor,Regularly,No,None,2021,Alive
+P100089,57,Female,Former,36,30,Medium,Diesel Fumes,Low,No,No,30.4,Moderate,None,Average,South,Middle,Tertiary,Good,Occasionally,No,None,2012,Alive
+P100090,72,Female,Former,42,9,Medium,Silica,Low,No,Yes,20.8,Moderate,High,Good,East,High,Secondary,Poor,Occasionally,No,None,2011,Alive
+P100091,47,Female,Never,30,21,High,Asbestos,Moderate,No,No,32.1,Moderate,Moderate,Poor,North,Low,Primary,Poor,Never,No,Stage IV,2015,Alive
+P100092,86,Male,Former,20,29,High,Asbestos,Moderate,No,No,33.2,High,Moderate,Good,East,High,Secondary,Poor,Regularly,Yes,Stage II,2013,Alive
+P100093,61,Female,Former,25,20,Medium,Diesel Fumes,Moderate,Yes,No,30.9,High,None,Good,East,High,Primary,Average,Regularly,Yes,None,2023,Alive
+P100094,68,Male,Former,40,35,Medium,Asbestos,High,No,No,26.7,Moderate,Moderate,Good,West,Low,Tertiary,Poor,Never,No,Stage II,2013,Alive
+P100095,59,Female,Never,34,22,Low,Silica,Moderate,No,Yes,12.3,Low,High,Average,South,Middle,Tertiary,Poor,Never,No,None,2016,Deceased
+P100096,89,Male,Current,37,37,Low,Asbestos,High,No,Yes,24.1,Moderate,Moderate,Poor,North,High,Primary,Good,Regularly,No,None,2004,Alive
+P100097,71,Male,Never,23,11,Medium,None,Moderate,Yes,No,33.8,Moderate,Moderate,Poor,East,Low,Secondary,Average,Occasionally,No,None,2005,Alive
+P100098,27,Male,Former,10,24,Medium,Silica,Moderate,Yes,No,29.7,Low,Moderate,Good,East,Low,Secondary,Average,Occasionally,No,None,2009,Deceased
+P100099,25,Female,Current,40,19,High,Asbestos,High,Yes,No,27.2,Low,None,Good,West,Low,Primary,Average,Regularly,No,Stage II,2021,Alive
+P100100,29,Female,Former,28,6,Medium,Asbestos,Moderate,Yes,No,21.6,Low,High,Average,East,Low,Primary,Poor,Occasionally,No,None,2008,Alive
+P100101,38,Female,Never,46,28,Low,Silica,High,No,No,30.1,Low,High,Poor,South,Middle,Primary,Poor,Occasionally,No,None,2006,Alive
+P100102,51,Male,Current,2,28,Low,Asbestos,High,No,No,17.1,High,High,Good,West,Low,Primary,Poor,Never,No,None,2003,Deceased
+P100103,33,Male,Former,0,12,Low,Asbestos,Moderate,No,Yes,24.1,High,Moderate,Poor,North,High,Secondary,Good,Occasionally,No,None,2022,Alive
+P100104,39,Female,Current,18,2,Low,Diesel Fumes,Moderate,Yes,No,33.7,Moderate,High,Good,East,Middle,Tertiary,Poor,Never,No,None,2006,Alive
+P100105,66,Female,Current,45,1,Low,None,Low,No,No,21.0,High,None,Good,East,Low,Secondary,Average,Occasionally,No,None,2010,Alive
+P100106,75,Female,Current,48,15,Low,Silica,Moderate,Yes,No,28.0,Moderate,Moderate,Average,West,High,Primary,Good,Regularly,No,None,2005,Alive
+P100107,87,Male,Former,21,29,Medium,Diesel Fumes,Low,Yes,No,16.2,Moderate,None,Poor,East,Middle,Secondary,Good,Never,Yes,None,2015,Deceased
+P100108,76,Male,Never,13,37,Low,Asbestos,Moderate,Yes,No,21.7,Low,Moderate,Poor,North,High,Primary,Average,Regularly,No,None,2015,Alive
+P100109,28,Male,Never,48,5,Low,Silica,High,No,No,25.9,Low,None,Good,South,Middle,Primary,Poor,Never,Yes,Stage III,2023,Alive
+P100110,47,Male,Former,13,6,Low,Silica,High,No,No,26.8,High,Moderate,Good,South,Low,Primary,Good,Occasionally,No,None,2023,Alive
+P100111,39,Male,Former,43,4,Low,None,Low,No,No,35.3,High,None,Average,West,High,Primary,Average,Regularly,No,None,2012,Alive
+P100112,67,Female,Former,15,6,Medium,None,Moderate,No,No,22.5,High,High,Good,East,Low,Secondary,Poor,Never,No,None,2011,Alive
+P100113,53,Male,Never,32,33,High,Silica,Low,Yes,No,28.0,High,Moderate,Poor,West,Middle,Primary,Good,Regularly,No,None,2021,Alive
+P100114,60,Male,Never,12,31,High,None,Moderate,No,No,27.8,Low,Moderate,Average,West,Low,Secondary,Good,Regularly,No,Stage III,2001,Alive
+P100115,37,Male,Former,37,12,High,None,Moderate,Yes,No,22.1,Low,None,Poor,West,Low,Secondary,Good,Occasionally,Yes,None,2020,Alive
+P100116,56,Male,Never,48,29,High,Asbestos,High,Yes,No,29.8,High,None,Average,West,High,Tertiary,Good,Never,Yes,Stage I,2012,Alive
+P100117,83,Male,Current,11,24,Low,None,Low,Yes,No,28.3,Moderate,None,Poor,West,Low,Secondary,Good,Occasionally,No,None,2000,Alive
+P100118,52,Female,Never,37,20,High,None,High,Yes,No,23.6,Low,Moderate,Good,East,Low,Tertiary,Poor,Regularly,Yes,None,2009,Alive
+P100119,66,Male,Former,38,20,High,Diesel Fumes,High,Yes,No,26.0,Low,None,Poor,South,Low,Tertiary,Average,Never,No,Stage II,2009,Alive
+P100120,69,Male,Current,32,27,Medium,Asbestos,High,Yes,No,20.2,Low,High,Poor,South,Middle,Tertiary,Good,Regularly,No,Stage IV,2010,Alive
+P100121,86,Male,Never,32,19,Medium,Asbestos,Low,Yes,No,20.6,Low,None,Average,South,High,Secondary,Average,Regularly,No,Stage IV,2008,Deceased
+P100122,81,Female,Former,28,33,Medium,Silica,Moderate,No,Yes,24.9,High,None,Poor,East,High,Tertiary,Average,Never,No,None,2003,Alive
+P100123,30,Female,Never,4,4,Low,None,Moderate,No,No,28.7,High,None,Good,East,Low,Primary,Average,Regularly,Yes,None,2016,Alive
+P100124,52,Female,Current,5,17,Low,Diesel Fumes,Low,Yes,No,23.3,Moderate,High,Average,West,High,Secondary,Poor,Never,No,Stage II,2018,Deceased
+P100125,52,Male,Former,30,38,Low,Diesel Fumes,Moderate,No,No,21.9,Low,None,Average,South,Middle,Primary,Average,Never,No,None,2009,Deceased
+P100126,68,Female,Former,15,10,Medium,Asbestos,Low,No,No,23.8,High,None,Poor,West,Middle,Secondary,Average,Never,No,None,2012,Alive
+P100127,54,Male,Former,30,16,High,None,Low,No,No,29.1,High,Moderate,Average,South,Low,Tertiary,Average,Regularly,No,Stage III,2001,Alive
+P100128,86,Male,Current,24,21,Medium,Diesel Fumes,Moderate,No,No,18.2,Low,Moderate,Good,North,Low,Tertiary,Good,Occasionally,Yes,None,2008,Alive
+P100129,86,Female,Never,47,36,Low,Silica,High,Yes,No,29.3,High,None,Poor,East,Middle,Secondary,Good,Regularly,No,None,2006,Alive
+P100130,25,Male,Never,45,19,Medium,None,Low,No,No,27.6,High,Moderate,Good,North,Middle,Tertiary,Average,Regularly,Yes,None,2009,Alive
+P100131,51,Male,Current,32,5,High,None,Low,Yes,Yes,18.2,High,None,Poor,South,Middle,Primary,Poor,Never,No,Stage IV,2011,Alive
+P100132,86,Male,Former,12,33,Low,None,Low,Yes,No,23.8,Moderate,None,Poor,West,Low,Primary,Good,Occasionally,Yes,None,2021,Deceased
+P100133,27,Female,Current,9,13,High,Diesel Fumes,Low,No,No,28.2,High,High,Average,East,Middle,Tertiary,Good,Never,No,None,2019,Alive
+P100134,51,Male,Former,23,22,High,Asbestos,Moderate,No,No,15.4,Low,None,Average,East,Low,Secondary,Average,Regularly,Yes,None,2010,Alive
+P100135,33,Male,Current,9,19,Low,Asbestos,Moderate,Yes,Yes,19.8,Low,Moderate,Average,West,Middle,Secondary,Average,Occasionally,No,Stage II,2003,Alive
+P100136,86,Female,Former,40,12,High,Silica,Low,Yes,No,17.4,Low,Moderate,Poor,North,Middle,Primary,Poor,Never,No,None,2011,Alive
+P100137,61,Male,Current,30,31,Medium,Diesel Fumes,High,No,No,22.1,High,Moderate,Average,North,High,Tertiary,Good,Regularly,No,None,2011,Alive
+P100138,75,Male,Current,12,25,High,None,Moderate,No,Yes,30.2,Moderate,Moderate,Good,North,Middle,Tertiary,Average,Regularly,No,None,2022,Alive
+P100139,68,Female,Former,2,13,High,Silica,High,Yes,No,29.0,High,None,Average,North,Low,Primary,Good,Occasionally,No,None,2007,Deceased
+P100140,48,Male,Never,49,35,High,Silica,High,No,No,22.5,Low,High,Good,East,Middle,Secondary,Average,Regularly,Yes,None,2019,Alive
+P100141,83,Male,Never,33,7,Medium,Asbestos,Low,Yes,No,30.1,Moderate,High,Average,South,High,Tertiary,Average,Regularly,Yes,None,2013,Alive
+P100142,56,Male,Never,48,39,High,None,Moderate,Yes,Yes,28.3,Moderate,None,Poor,West,Middle,Secondary,Poor,Regularly,No,None,2006,Deceased
+P100143,76,Male,Never,27,21,High,None,Low,Yes,No,31.4,High,Moderate,Average,South,Middle,Secondary,Good,Regularly,No,Stage III,2002,Alive
+P100144,86,Male,Former,18,21,Medium,Diesel Fumes,Low,Yes,No,24.6,Low,High,Good,South,Middle,Primary,Good,Occasionally,No,None,2024,Deceased
+P100145,82,Female,Former,22,15,Low,Diesel Fumes,High,No,No,27.7,High,High,Good,North,Low,Secondary,Average,Regularly,Yes,None,2018,Alive
+P100146,76,Female,Former,44,26,Low,Diesel Fumes,High,Yes,No,41.9,Low,None,Average,South,Middle,Primary,Poor,Regularly,Yes,None,2013,Alive
+P100147,36,Female,Former,31,9,Low,Silica,High,Yes,No,23.5,Moderate,Moderate,Good,North,Middle,Tertiary,Poor,Regularly,No,None,2018,Alive
+P100148,63,Female,Current,12,24,High,None,Low,No,No,24.7,High,High,Poor,North,Middle,Secondary,Poor,Occasionally,No,None,2009,Alive
+P100149,26,Male,Never,32,30,Low,Asbestos,Low,No,Yes,24.2,Moderate,None,Average,South,High,Primary,Good,Occasionally,No,Stage I,2011,Alive
+P100150,27,Male,Never,33,20,Medium,Silica,Low,Yes,No,24.5,Low,High,Good,West,Low,Primary,Average,Never,No,None,2017,Alive
+P100151,80,Male,Never,32,26,High,Silica,Low,No,No,27.8,Moderate,High,Average,South,Low,Secondary,Average,Occasionally,No,Stage I,2018,Alive
+P100152,83,Male,Former,4,16,High,Asbestos,Low,No,No,25.3,Moderate,Moderate,Average,South,High,Primary,Poor,Regularly,No,None,2023,Alive
+P100153,26,Male,Never,2,32,High,Asbestos,Low,Yes,No,18.2,Moderate,Moderate,Average,East,Low,Tertiary,Poor,Occasionally,No,Stage II,2017,Alive
+P100154,26,Female,Never,6,30,Low,Diesel Fumes,Low,No,Yes,25.1,High,High,Average,North,High,Secondary,Poor,Occasionally,No,None,2012,Alive
+P100155,78,Female,Former,23,25,Low,Asbestos,Low,No,No,22.4,Low,Moderate,Average,East,Middle,Tertiary,Good,Occasionally,Yes,Stage III,2016,Alive
+P100156,25,Male,Current,21,20,Low,Asbestos,Moderate,No,No,16.4,Moderate,High,Poor,West,Low,Primary,Average,Regularly,No,None,2020,Alive
+P100157,43,Male,Never,44,35,High,Asbestos,Moderate,No,No,30.7,Moderate,High,Average,South,Middle,Tertiary,Poor,Never,Yes,None,2023,Alive
+P100158,26,Male,Current,22,0,Medium,Asbestos,Moderate,No,No,22.3,Moderate,High,Poor,East,Middle,Primary,Poor,Never,No,None,2005,Alive
+P100159,77,Female,Current,29,3,High,Diesel Fumes,Moderate,Yes,No,26.9,Moderate,None,Average,East,Low,Primary,Average,Never,Yes,Stage III,2015,Alive
+P100160,68,Male,Current,17,3,Medium,Silica,Low,No,No,9.2,Low,Moderate,Good,South,Middle,Tertiary,Good,Never,No,None,2017,Alive
+P100161,56,Male,Current,31,25,High,None,Low,Yes,Yes,27.5,Low,Moderate,Average,South,Middle,Secondary,Good,Occasionally,No,None,2008,Alive
+P100162,56,Male,Never,6,3,Medium,None,High,Yes,No,23.4,High,High,Average,North,High,Secondary,Good,Never,No,None,2012,Alive
+P100163,79,Female,Never,32,8,High,Silica,High,No,No,17.2,Low,Moderate,Good,North,Low,Secondary,Average,Occasionally,Yes,Stage II,2003,Deceased
+P100164,80,Male,Current,4,29,High,None,Moderate,No,No,22.2,Low,High,Poor,East,Middle,Tertiary,Good,Occasionally,No,Stage IV,2012,Deceased
+P100165,41,Female,Former,48,3,Medium,None,High,No,No,21.6,Moderate,Moderate,Poor,South,High,Tertiary,Poor,Never,No,None,2002,Alive
+P100166,62,Female,Former,27,4,Medium,Silica,Moderate,No,No,28.8,High,Moderate,Poor,North,Low,Tertiary,Good,Regularly,Yes,None,2003,Deceased
+P100167,48,Female,Current,7,22,Medium,None,Low,No,No,25.5,High,High,Poor,North,Middle,Tertiary,Average,Never,No,None,2018,Alive
+P100168,35,Female,Current,14,15,Medium,None,Low,No,No,17.4,Moderate,Moderate,Good,West,Middle,Secondary,Good,Never,No,Stage IV,2023,Alive
+P100169,40,Female,Current,3,21,Medium,Silica,High,No,No,27.2,High,High,Poor,East,Middle,Secondary,Average,Occasionally,No,None,2000,Alive
+P100170,83,Female,Current,33,36,Medium,None,Low,No,No,14.6,Low,None,Poor,East,Middle,Primary,Average,Occasionally,No,None,2000,Alive
+P100171,27,Male,Current,4,7,Medium,Asbestos,Low,No,No,19.4,High,High,Poor,East,Middle,Tertiary,Good,Never,No,None,2008,Alive
+P100172,44,Male,Never,32,32,Medium,Silica,Moderate,No,No,25.1,Moderate,Moderate,Poor,South,Low,Secondary,Poor,Never,Yes,None,2022,Alive
+P100173,83,Male,Current,4,37,High,Diesel Fumes,High,No,No,21.9,High,None,Poor,West,Low,Secondary,Average,Regularly,No,Stage IV,2024,Alive
+P100174,60,Female,Never,37,15,Medium,None,Low,No,No,31.0,High,None,Average,North,High,Secondary,Good,Regularly,Yes,Stage I,2002,Alive
+P100175,43,Male,Never,33,4,Medium,Diesel Fumes,High,Yes,No,25.8,High,High,Average,West,High,Secondary,Average,Regularly,No,None,2002,Alive
+P100176,43,Female,Current,25,15,High,None,Low,No,No,28.1,Moderate,None,Poor,North,High,Secondary,Good,Occasionally,No,Stage III,2017,Alive
+P100177,44,Female,Never,0,6,High,Asbestos,Moderate,Yes,No,28.3,Low,High,Good,North,Low,Secondary,Poor,Regularly,No,Stage III,2001,Deceased
+P100178,76,Female,Never,3,0,Low,Silica,Low,Yes,No,22.8,High,Moderate,Good,West,Low,Tertiary,Average,Occasionally,No,None,2010,Alive
+P100179,57,Male,Never,38,8,Low,Diesel Fumes,High,No,No,19.7,Low,High,Average,East,Low,Primary,Poor,Occasionally,No,None,2008,Deceased
+P100180,64,Female,Current,25,17,Medium,Silica,High,Yes,No,24.8,Low,None,Good,South,Middle,Primary,Poor,Never,No,None,2001,Alive
+P100181,63,Female,Former,32,2,Medium,Diesel Fumes,Moderate,No,No,29.3,Low,High,Average,West,Low,Tertiary,Poor,Regularly,No,None,2019,Alive
+P100182,25,Male,Current,32,23,Low,None,Low,No,No,23.8,High,High,Poor,East,Low,Secondary,Poor,Never,Yes,None,2003,Deceased
+P100183,35,Male,Never,7,27,Low,Asbestos,Moderate,Yes,No,28.0,Low,Moderate,Poor,East,Middle,Tertiary,Poor,Never,No,None,2008,Alive
+P100184,81,Female,Current,19,9,Medium,Diesel Fumes,High,No,Yes,24.9,High,High,Good,South,High,Secondary,Good,Occasionally,Yes,Stage II,2013,Deceased
+P100185,74,Female,Current,15,8,Low,Diesel Fumes,Moderate,Yes,No,17.2,High,Moderate,Good,South,High,Secondary,Poor,Regularly,Yes,Stage III,2018,Alive
+P100186,47,Male,Former,20,12,Medium,Asbestos,Low,Yes,No,17.7,High,None,Good,East,High,Secondary,Good,Never,No,None,2015,Alive
+P100187,55,Male,Former,44,34,High,Asbestos,Low,No,No,32.8,Low,None,Poor,South,Middle,Secondary,Poor,Occasionally,No,None,2013,Alive
+P100188,66,Male,Never,25,22,High,Asbestos,Moderate,Yes,No,19.2,High,High,Poor,East,Middle,Secondary,Poor,Never,Yes,None,2014,Alive
+P100189,31,Female,Current,22,16,Low,Asbestos,High,Yes,No,21.8,Moderate,High,Good,North,Middle,Tertiary,Average,Regularly,No,Stage III,2017,Alive
+P100190,40,Male,Current,17,6,High,Asbestos,High,No,No,29.6,Moderate,None,Good,South,Low,Tertiary,Good,Occasionally,No,None,2014,Alive
+P100191,84,Male,Current,30,15,High,Silica,Moderate,Yes,No,19.0,Moderate,None,Good,North,High,Primary,Poor,Regularly,No,None,2018,Deceased
+P100192,26,Male,Former,41,39,High,None,Low,No,No,21.6,High,None,Good,South,Middle,Secondary,Poor,Never,No,None,2008,Deceased
+P100193,25,Female,Current,11,35,High,None,Low,No,No,23.9,Moderate,High,Average,East,Middle,Tertiary,Poor,Occasionally,No,None,2020,Alive
+P100194,72,Male,Current,0,19,Medium,Diesel Fumes,Low,No,No,23.3,High,None,Good,East,High,Tertiary,Good,Never,No,None,2020,Alive
+P100195,36,Male,Current,41,23,Medium,Asbestos,Low,No,No,20.1,High,High,Good,East,High,Secondary,Good,Never,No,None,2015,Alive
+P100196,61,Male,Current,8,4,Low,Silica,High,Yes,No,24.0,High,None,Average,East,Low,Secondary,Good,Regularly,No,None,2022,Alive
+P100197,56,Male,Former,2,5,High,Silica,Low,No,No,28.4,Low,None,Average,East,High,Tertiary,Average,Occasionally,Yes,None,2016,Alive
+P100198,33,Male,Never,25,27,High,Diesel Fumes,Moderate,Yes,No,24.4,Moderate,High,Average,East,Middle,Secondary,Average,Never,Yes,None,2009,Alive
+P100199,43,Female,Current,8,4,High,Asbestos,Moderate,Yes,No,21.7,High,Moderate,Average,South,Low,Tertiary,Poor,Regularly,No,None,2004,Alive
+P100200,72,Female,Current,41,38,Low,None,Moderate,No,No,29.7,Moderate,High,Good,South,High,Primary,Good,Regularly,No,None,2008,Alive
+P100201,27,Female,Former,15,37,Medium,Asbestos,Moderate,No,No,33.5,Moderate,Moderate,Poor,North,Low,Secondary,Good,Occasionally,No,None,2013,Alive
+P100202,44,Male,Never,23,1,High,Silica,Low,No,No,29.8,Low,High,Poor,West,Middle,Primary,Average,Never,No,None,2021,Alive
+P100203,48,Female,Former,49,38,Medium,Asbestos,High,Yes,No,19.4,Moderate,Moderate,Poor,South,Middle,Primary,Poor,Occasionally,No,None,2023,Alive
+P100204,78,Female,Former,13,20,Low,None,Low,No,No,19.5,High,Moderate,Poor,South,Middle,Primary,Good,Occasionally,No,None,2009,Alive
+P100205,57,Female,Former,2,39,Medium,None,High,Yes,No,27.2,High,Moderate,Poor,West,Middle,Secondary,Good,Never,No,None,2023,Alive
+P100206,48,Male,Current,33,36,High,Diesel Fumes,Low,No,No,25.9,Moderate,High,Poor,West,Low,Primary,Poor,Occasionally,No,None,2000,Alive
+P100207,60,Male,Current,32,17,Medium,Silica,High,No,No,18.9,Moderate,High,Average,North,Low,Tertiary,Average,Occasionally,No,Stage II,2023,Alive
+P100208,62,Female,Never,49,11,Medium,Asbestos,Moderate,Yes,No,26.4,Low,High,Average,North,Middle,Tertiary,Average,Occasionally,Yes,None,2021,Alive
+P100209,49,Female,Former,23,16,Low,Asbestos,Moderate,Yes,No,25.5,High,Moderate,Poor,East,Low,Secondary,Good,Regularly,Yes,None,2019,Alive
+P100210,42,Male,Never,8,36,Low,Diesel Fumes,High,No,No,32.4,Moderate,Moderate,Good,North,Middle,Secondary,Poor,Never,No,Stage III,2002,Alive
+P100211,78,Male,Never,12,37,Low,Diesel Fumes,High,No,No,22.8,Moderate,High,Good,North,Middle,Primary,Poor,Occasionally,Yes,None,2015,Alive
+P100212,59,Female,Current,1,14,Low,Diesel Fumes,High,No,Yes,31.9,High,High,Poor,West,High,Secondary,Poor,Regularly,No,None,2004,Alive
+P100213,85,Male,Current,6,6,Medium,Silica,Moderate,Yes,No,32.2,Moderate,None,Good,South,Low,Tertiary,Good,Regularly,No,None,2012,Alive
+P100214,65,Female,Former,47,13,Medium,Asbestos,Moderate,No,No,21.6,Low,None,Average,East,High,Tertiary,Average,Occasionally,Yes,None,2004,Alive
+P100215,57,Male,Current,20,0,Low,Diesel Fumes,Low,No,No,26.8,Moderate,None,Average,North,Middle,Tertiary,Average,Never,No,None,2022,Deceased
+P100216,57,Female,Current,18,37,Low,Silica,High,Yes,No,23.9,Moderate,None,Good,West,High,Secondary,Average,Regularly,Yes,None,2024,Alive
+P100217,38,Female,Current,24,2,High,Asbestos,High,No,No,23.7,Low,None,Poor,East,Middle,Tertiary,Average,Occasionally,Yes,None,2010,Alive
+P100218,45,Male,Never,46,36,High,None,High,Yes,No,26.2,Low,High,Average,East,Middle,Secondary,Average,Never,No,Stage IV,2016,Alive
+P100219,72,Female,Current,21,30,Low,Diesel Fumes,Moderate,Yes,No,21.1,Low,Moderate,Good,West,Middle,Primary,Good,Never,No,None,2024,Alive
+P100220,44,Female,Former,10,12,Medium,Silica,High,No,No,17.0,High,Moderate,Good,North,Low,Tertiary,Good,Occasionally,No,None,2002,Deceased
+P100221,32,Female,Former,32,17,Low,Asbestos,High,No,No,22.3,Moderate,High,Average,North,Middle,Primary,Average,Regularly,Yes,None,2021,Alive
+P100222,31,Male,Never,31,16,Medium,Asbestos,Moderate,Yes,No,30.9,Moderate,High,Average,North,Middle,Tertiary,Average,Never,No,None,2005,Alive
+P100223,41,Male,Former,20,16,Medium,Diesel Fumes,High,Yes,No,24.0,Low,High,Poor,North,Low,Tertiary,Good,Never,No,None,2015,Alive
+P100224,57,Male,Never,38,10,High,Diesel Fumes,Low,No,Yes,24.9,High,None,Good,East,Low,Tertiary,Average,Never,No,None,2019,Alive
+P100225,72,Female,Never,19,19,Low,Asbestos,Moderate,Yes,No,29.0,Low,None,Poor,South,Middle,Primary,Average,Never,No,None,2001,Alive
+P100226,83,Male,Former,7,9,Low,Silica,Moderate,Yes,No,17.0,Moderate,None,Average,East,Low,Tertiary,Average,Regularly,Yes,None,2004,Alive
+P100227,46,Female,Current,41,28,Medium,None,Moderate,No,No,27.2,High,High,Good,East,Middle,Primary,Poor,Regularly,No,Stage I,2018,Alive
+P100228,54,Female,Current,36,33,Low,Asbestos,Low,Yes,No,33.3,High,High,Average,West,High,Secondary,Average,Occasionally,No,None,2019,Alive
+P100229,62,Male,Former,8,16,High,Silica,Moderate,Yes,No,25.5,Moderate,Moderate,Average,East,Low,Tertiary,Poor,Occasionally,No,None,2021,Alive
+P100230,75,Male,Current,24,12,High,Diesel Fumes,Moderate,Yes,No,15.4,High,High,Average,North,High,Tertiary,Average,Regularly,Yes,None,2010,Alive
+P100231,78,Female,Current,24,38,Low,Asbestos,Moderate,Yes,No,24.6,High,None,Poor,West,Middle,Primary,Average,Occasionally,Yes,None,2022,Alive
+P100232,32,Female,Current,32,26,Low,Diesel Fumes,Moderate,Yes,No,28.1,Low,Moderate,Average,West,Low,Tertiary,Good,Never,No,None,2017,Alive
+P100233,51,Male,Never,1,25,High,None,Low,Yes,No,25.6,High,High,Poor,West,Low,Secondary,Good,Regularly,No,None,2002,Deceased
+P100234,51,Male,Current,18,27,Low,Diesel Fumes,High,No,No,26.4,Low,Moderate,Average,West,Middle,Tertiary,Good,Never,No,Stage I,2011,Deceased
+P100235,45,Male,Current,45,12,Medium,None,High,No,No,27.0,High,Moderate,Average,West,Low,Secondary,Poor,Regularly,Yes,None,2022,Alive
+P100236,54,Female,Current,19,11,Low,Diesel Fumes,Moderate,No,Yes,20.3,Low,High,Good,North,Low,Secondary,Poor,Regularly,No,Stage III,2012,Deceased
+P100237,52,Female,Former,41,27,Medium,Diesel Fumes,Low,No,No,21.0,Low,None,Average,South,Low,Tertiary,Average,Occasionally,No,None,2020,Alive
+P100238,88,Female,Former,40,1,Low,None,Moderate,Yes,No,23.2,High,None,Good,South,High,Tertiary,Poor,Regularly,No,None,2019,Alive
+P100239,85,Female,Current,41,36,Low,Diesel Fumes,High,No,No,27.0,Low,Moderate,Good,West,Middle,Secondary,Good,Occasionally,No,Stage IV,2019,Alive
+P100240,72,Female,Former,28,33,High,Silica,High,Yes,No,19.1,Moderate,High,Poor,South,Middle,Secondary,Poor,Regularly,No,None,2008,Alive
+P100241,43,Male,Never,5,22,Medium,Diesel Fumes,Low,No,No,35.3,Moderate,High,Good,East,Middle,Secondary,Average,Never,No,None,2008,Alive
+P100242,28,Male,Former,16,28,High,Asbestos,High,Yes,No,12.9,High,None,Good,South,Low,Tertiary,Poor,Never,Yes,Stage II,2006,Alive
+P100243,59,Female,Current,24,34,Low,Diesel Fumes,Moderate,No,No,16.5,High,High,Average,East,Low,Primary,Good,Never,No,Stage IV,2000,Alive
+P100244,88,Female,Current,37,10,High,Silica,Low,Yes,No,27.8,High,High,Average,North,Low,Tertiary,Average,Never,No,None,2000,Deceased
+P100245,73,Male,Never,3,32,Low,Asbestos,High,No,No,27.3,Moderate,Moderate,Poor,West,Middle,Primary,Poor,Never,No,None,2018,Alive
+P100246,41,Male,Current,29,10,Low,Silica,Moderate,No,No,24.6,High,High,Good,East,High,Primary,Average,Never,No,None,2002,Alive
+P100247,68,Male,Former,19,8,Low,Asbestos,Low,No,No,28.4,High,High,Good,North,Middle,Tertiary,Average,Regularly,No,None,2006,Alive
+P100248,54,Male,Current,2,13,Medium,Diesel Fumes,Moderate,No,No,27.8,Low,High,Poor,North,Middle,Primary,Poor,Occasionally,No,None,2011,Alive
+P100249,70,Female,Current,22,8,Medium,Silica,High,No,No,25.0,High,None,Average,West,High,Secondary,Average,Regularly,No,None,2015,Alive
+P100250,30,Male,Current,17,38,Medium,Diesel Fumes,Moderate,Yes,No,26.3,Moderate,None,Good,South,Low,Tertiary,Poor,Never,No,None,2012,Alive
+P100251,61,Female,Current,25,2,High,Asbestos,Low,No,Yes,9.3,Moderate,Moderate,Poor,North,Low,Primary,Good,Never,No,None,2017,Alive
+P100252,48,Male,Former,35,28,Low,Silica,Moderate,Yes,No,24.3,High,None,Average,South,Middle,Secondary,Good,Regularly,Yes,None,2023,Alive
+P100253,70,Male,Current,7,18,High,None,High,No,No,24.8,Moderate,None,Poor,South,High,Primary,Poor,Occasionally,No,None,2016,Alive
+P100254,77,Male,Never,16,35,High,Silica,Low,No,No,34.6,Low,None,Poor,South,Middle,Primary,Poor,Occasionally,No,None,2023,Alive
+P100255,84,Female,Current,30,31,Low,Diesel Fumes,Low,No,No,20.9,Low,None,Good,East,Middle,Secondary,Average,Occasionally,No,None,2008,Alive
+P100256,87,Female,Current,36,6,High,None,High,Yes,No,24.8,High,Moderate,Average,South,High,Secondary,Poor,Occasionally,Yes,None,2013,Alive
+P100257,56,Male,Current,44,27,Low,None,Moderate,No,No,32.1,High,High,Good,South,High,Tertiary,Average,Never,No,None,2004,Deceased
+P100258,57,Female,Never,32,17,Low,Asbestos,Moderate,No,No,27.8,Low,High,Good,North,Low,Primary,Good,Never,No,None,2010,Alive
+P100259,42,Female,Current,26,4,Low,None,High,Yes,No,25.1,Low,High,Average,West,Middle,Tertiary,Poor,Occasionally,Yes,None,2019,Alive
+P100260,49,Male,Never,44,22,Low,None,Low,Yes,Yes,29.8,High,Moderate,Average,East,High,Tertiary,Good,Regularly,No,None,2005,Alive
+P100261,78,Male,Never,3,21,High,Asbestos,High,Yes,No,21.0,Moderate,None,Average,South,High,Primary,Poor,Regularly,Yes,None,2005,Alive
+P100262,82,Female,Current,21,25,High,Silica,Low,Yes,No,33.6,High,Moderate,Good,West,High,Primary,Good,Never,No,None,2023,Alive
+P100263,70,Female,Former,25,11,High,Diesel Fumes,Low,No,No,28.2,High,Moderate,Average,South,High,Tertiary,Poor,Regularly,No,None,2007,Deceased
+P100264,48,Female,Current,31,39,Medium,Silica,Moderate,Yes,No,16.9,High,Moderate,Average,South,Middle,Secondary,Poor,Never,No,None,2000,Alive
+P100265,56,Male,Former,23,18,High,None,High,Yes,Yes,22.0,High,High,Average,North,Middle,Tertiary,Average,Never,Yes,None,2008,Deceased
+P100266,71,Male,Never,45,0,High,Diesel Fumes,Low,No,No,14.2,High,None,Poor,West,Middle,Primary,Average,Occasionally,No,None,2009,Alive
+P100267,47,Female,Current,34,2,Medium,Silica,Moderate,Yes,No,29.0,High,High,Average,North,High,Secondary,Poor,Occasionally,No,None,2016,Deceased
+P100268,51,Male,Former,36,26,Low,Diesel Fumes,High,Yes,No,27.8,High,Moderate,Good,North,Low,Tertiary,Average,Occasionally,No,None,2002,Deceased
+P100269,26,Male,Never,31,17,Low,None,High,Yes,No,22.7,Moderate,Moderate,Poor,South,High,Primary,Poor,Occasionally,No,None,2022,Deceased
+P100270,41,Female,Current,6,29,Low,Silica,Low,No,No,31.0,High,High,Good,South,Middle,Secondary,Poor,Occasionally,No,Stage I,2020,Alive
+P100271,57,Female,Former,32,1,Medium,Diesel Fumes,Low,Yes,No,24.6,Low,High,Poor,South,Middle,Secondary,Good,Occasionally,No,None,2021,Alive
+P100272,33,Male,Current,30,4,High,Diesel Fumes,Low,Yes,No,38.1,High,High,Average,West,Middle,Secondary,Average,Regularly,No,None,2012,Alive
+P100273,67,Male,Former,11,28,High,Silica,High,Yes,No,19.0,Moderate,None,Poor,West,Low,Primary,Average,Occasionally,No,None,2007,Alive
+P100274,72,Female,Current,10,32,High,Silica,Low,No,No,28.2,Low,High,Good,West,Low,Tertiary,Good,Occasionally,No,Stage II,2019,Alive
+P100275,63,Male,Current,23,19,High,None,High,No,No,23.0,High,None,Poor,West,Middle,Primary,Poor,Never,No,None,2013,Alive
+P100276,66,Male,Current,7,29,Medium,Asbestos,Moderate,Yes,No,21.6,High,None,Average,South,High,Primary,Average,Never,No,None,2019,Alive
+P100277,50,Female,Never,31,4,High,Diesel Fumes,High,No,No,24.1,Low,High,Average,South,Middle,Secondary,Poor,Occasionally,No,None,2007,Alive
+P100278,74,Female,Current,37,20,Low,Silica,Low,Yes,No,26.8,High,Moderate,Good,North,Middle,Tertiary,Average,Never,No,None,2018,Alive
+P100279,49,Male,Current,21,14,Medium,Silica,High,No,No,25.3,Moderate,Moderate,Poor,South,Low,Secondary,Average,Regularly,No,Stage I,2012,Alive
+P100280,48,Male,Current,33,19,Medium,Silica,Low,No,No,28.4,High,None,Good,West,Low,Primary,Poor,Regularly,No,Stage IV,2005,Deceased
+P100281,37,Male,Former,18,7,Low,Diesel Fumes,Moderate,Yes,No,28.0,Moderate,None,Good,East,Low,Secondary,Poor,Regularly,No,None,2003,Alive
+P100282,84,Female,Current,19,30,Low,None,Low,Yes,No,32.3,High,None,Good,South,Low,Primary,Average,Regularly,No,None,2005,Deceased
+P100283,31,Male,Current,13,11,High,Asbestos,Low,Yes,No,19.0,Low,Moderate,Average,West,Middle,Primary,Good,Occasionally,Yes,Stage II,2019,Deceased
+P100284,81,Male,Never,32,20,Low,Diesel Fumes,Low,No,Yes,17.2,Moderate,None,Poor,North,High,Primary,Good,Regularly,No,None,2001,Alive
+P100285,60,Female,Former,9,29,Medium,None,Low,Yes,Yes,24.7,High,None,Average,South,Middle,Secondary,Good,Regularly,No,None,2009,Alive
+P100286,69,Female,Current,15,26,Medium,Diesel Fumes,Low,No,No,21.0,High,Moderate,Average,East,Middle,Tertiary,Good,Regularly,Yes,None,2010,Alive
+P100287,44,Male,Never,3,25,Medium,Diesel Fumes,Low,No,No,29.4,Low,High,Average,West,High,Secondary,Good,Regularly,No,None,2010,Deceased
+P100288,89,Female,Current,26,32,High,Silica,Moderate,Yes,No,19.7,Low,Moderate,Poor,South,Middle,Primary,Poor,Never,Yes,None,2002,Alive
+P100289,32,Female,Current,27,25,High,None,Moderate,No,No,22.3,Moderate,High,Average,West,High,Secondary,Average,Regularly,No,None,2010,Alive
+P100290,40,Male,Current,42,25,Low,Silica,High,No,No,23.3,Moderate,High,Average,East,Low,Primary,Good,Regularly,No,None,2007,Alive
+P100291,38,Female,Never,15,35,High,Silica,Low,Yes,No,33.8,Moderate,None,Average,East,Low,Tertiary,Average,Never,No,None,2016,Alive
+P100292,39,Female,Never,32,39,High,None,High,No,No,35.5,High,None,Poor,North,Low,Tertiary,Poor,Never,No,None,2021,Alive
+P100293,56,Male,Current,47,0,Medium,Silica,Moderate,No,No,19.3,High,High,Poor,East,High,Primary,Average,Occasionally,No,Stage II,2024,Alive
+P100294,87,Female,Never,18,14,Medium,Silica,Moderate,Yes,No,14.0,Moderate,None,Good,South,Middle,Tertiary,Poor,Never,No,Stage I,2000,Alive
+P100295,75,Male,Current,20,0,Low,Asbestos,Low,Yes,No,22.1,High,High,Average,East,Low,Primary,Average,Never,No,None,2015,Alive
+P100296,49,Male,Former,21,10,Medium,None,Low,Yes,Yes,24.8,Low,None,Average,South,Low,Secondary,Average,Never,No,None,2019,Deceased
+P100297,82,Female,Never,8,1,High,None,High,No,No,24.8,High,Moderate,Poor,South,Middle,Secondary,Poor,Regularly,No,None,2006,Alive
+P100298,87,Female,Never,8,0,Low,Silica,Moderate,No,No,24.6,Moderate,High,Poor,West,Low,Tertiary,Average,Occasionally,No,Stage II,2021,Deceased
+P100299,86,Female,Former,8,30,Low,Silica,High,No,No,29.1,High,High,Average,South,Low,Tertiary,Poor,Occasionally,Yes,None,2021,Alive
+P100300,46,Male,Current,26,15,Medium,None,High,Yes,No,23.0,Low,None,Good,South,High,Primary,Average,Regularly,No,None,2024,Alive
+P100301,82,Female,Former,16,21,Medium,None,High,No,No,26.1,Moderate,Moderate,Good,North,Middle,Tertiary,Average,Occasionally,No,None,2007,Alive
+P100302,82,Male,Former,43,17,Medium,Diesel Fumes,Low,No,Yes,28.2,Moderate,None,Average,West,High,Tertiary,Good,Regularly,No,None,2012,Deceased
+P100303,73,Female,Former,44,16,Low,None,Moderate,No,No,26.1,Moderate,Moderate,Good,South,Low,Tertiary,Average,Never,Yes,None,2004,Alive
+P100304,76,Female,Former,7,29,Medium,Diesel Fumes,High,Yes,No,28.4,Moderate,None,Good,North,Low,Primary,Good,Regularly,Yes,None,2017,Alive
+P100305,66,Female,Former,15,9,High,Silica,Moderate,Yes,No,16.5,High,High,Average,West,Middle,Secondary,Good,Regularly,No,None,2011,Deceased
+P100306,39,Male,Current,17,34,Low,Asbestos,Moderate,Yes,No,25.6,Low,Moderate,Good,East,Low,Primary,Poor,Never,No,None,2015,Alive
+P100307,78,Female,Former,32,20,Medium,Asbestos,High,No,No,26.1,High,Moderate,Poor,South,High,Primary,Poor,Never,No,None,2002,Alive
+P100308,84,Female,Former,0,15,High,Diesel Fumes,High,No,No,24.2,High,None,Average,East,High,Tertiary,Average,Occasionally,No,Stage III,2011,Alive
+P100309,32,Male,Never,11,5,High,Silica,Low,Yes,Yes,22.0,Moderate,Moderate,Poor,West,Middle,Secondary,Poor,Regularly,No,None,2018,Alive
+P100310,77,Male,Current,5,2,Medium,Silica,Moderate,Yes,No,27.3,Low,None,Average,West,Middle,Primary,Good,Never,No,None,2019,Alive
+P100311,84,Female,Never,40,20,High,Silica,High,No,No,25.6,High,Moderate,Poor,North,Low,Tertiary,Average,Occasionally,No,Stage I,2017,Alive
+P100312,29,Female,Never,4,12,Low,None,High,Yes,No,24.7,Low,None,Good,South,Middle,Primary,Poor,Regularly,No,None,2007,Alive
+P100313,30,Female,Current,15,17,Low,Silica,Moderate,No,No,23.4,Low,None,Poor,South,Middle,Tertiary,Poor,Never,No,None,2023,Alive
+P100314,71,Male,Former,17,23,High,None,High,Yes,No,23.6,Low,None,Poor,North,Low,Secondary,Poor,Never,No,None,2012,Alive
+P100315,79,Male,Former,48,26,Low,Diesel Fumes,Moderate,Yes,No,21.2,Low,High,Poor,East,Low,Secondary,Good,Regularly,No,None,2007,Alive
+P100316,64,Male,Former,17,3,Medium,Asbestos,High,Yes,No,22.6,High,Moderate,Poor,West,High,Tertiary,Poor,Never,No,None,2009,Deceased
+P100317,76,Male,Current,0,21,High,Diesel Fumes,Moderate,No,No,20.3,Low,High,Poor,North,High,Primary,Average,Regularly,No,None,2013,Alive
+P100318,40,Female,Never,18,23,Low,Silica,High,Yes,No,23.1,High,High,Average,West,Middle,Primary,Average,Regularly,No,None,2014,Alive
+P100319,37,Male,Current,7,39,Medium,Silica,High,No,Yes,26.8,Low,High,Poor,East,Low,Secondary,Average,Regularly,No,Stage II,2020,Alive
+P100320,54,Male,Current,2,9,Medium,Diesel Fumes,Low,Yes,No,29.1,Low,High,Poor,East,Middle,Primary,Good,Never,No,Stage III,2014,Deceased
+P100321,43,Male,Former,24,1,Low,None,Moderate,Yes,No,24.7,High,Moderate,Average,East,High,Tertiary,Poor,Never,No,None,2005,Alive
+P100322,41,Female,Former,4,39,High,None,Low,No,No,24.6,Moderate,Moderate,Average,South,Middle,Tertiary,Average,Regularly,No,None,2013,Alive
+P100323,87,Female,Never,39,5,Medium,None,High,No,No,25.7,High,High,Good,West,High,Tertiary,Poor,Occasionally,No,None,2005,Deceased
+P100324,43,Male,Current,18,17,Medium,Asbestos,Moderate,Yes,No,29.9,Low,Moderate,Poor,West,High,Secondary,Poor,Regularly,No,None,2022,Alive
+P100325,82,Male,Former,17,16,Medium,Asbestos,Moderate,No,No,23.9,High,Moderate,Poor,North,Middle,Secondary,Average,Regularly,No,Stage I,2000,Alive
+P100326,79,Female,Former,49,37,Medium,Silica,High,Yes,No,27.3,Low,None,Good,West,High,Secondary,Good,Regularly,No,Stage II,2009,Alive
+P100327,86,Female,Former,30,22,High,Diesel Fumes,High,No,No,26.9,High,Moderate,Poor,South,High,Tertiary,Average,Occasionally,No,None,2018,Alive
+P100328,47,Female,Current,32,29,Low,Diesel Fumes,High,No,No,21.9,High,High,Good,North,Low,Secondary,Average,Never,No,None,2010,Alive
+P100329,33,Female,Former,46,20,Low,Silica,High,Yes,Yes,28.5,High,Moderate,Average,East,Middle,Tertiary,Good,Never,No,None,2002,Deceased
+P100330,36,Female,Current,17,9,Low,None,Moderate,Yes,No,14.6,Moderate,High,Poor,West,Middle,Primary,Poor,Regularly,No,Stage I,2022,Alive
+P100331,25,Female,Former,38,12,Medium,Asbestos,Low,No,No,30.3,High,Moderate,Poor,South,Middle,Secondary,Poor,Regularly,No,None,2005,Alive
+P100332,82,Female,Never,15,11,High,Diesel Fumes,Moderate,No,No,19.0,High,High,Average,South,High,Primary,Good,Never,No,None,2008,Deceased
+P100333,25,Female,Never,15,8,Low,Silica,Moderate,Yes,No,24.3,Moderate,Moderate,Poor,West,High,Primary,Average,Regularly,Yes,Stage IV,2024,Deceased
+P100334,58,Male,Former,46,3,High,None,Moderate,No,No,29.1,Moderate,Moderate,Average,South,High,Secondary,Good,Never,No,Stage III,2008,Alive
+P100335,72,Male,Never,37,38,Low,None,Moderate,No,No,22.9,Low,Moderate,Average,East,Middle,Secondary,Average,Occasionally,No,None,2003,Alive
+P100336,25,Male,Never,40,23,Medium,Asbestos,High,No,No,26.2,Low,High,Good,West,Low,Primary,Good,Regularly,Yes,None,2002,Alive
+P100337,40,Male,Current,6,33,Low,Asbestos,Low,No,No,29.2,High,None,Average,West,Middle,Primary,Poor,Never,No,None,2019,Alive
+P100338,85,Male,Current,13,38,Medium,Silica,Moderate,Yes,No,34.2,Low,High,Good,West,Middle,Primary,Good,Never,No,None,2018,Alive
+P100339,88,Male,Current,42,4,Medium,Silica,Moderate,Yes,No,24.9,High,Moderate,Average,North,Middle,Tertiary,Good,Occasionally,Yes,None,2022,Alive
+P100340,87,Female,Never,47,14,Low,None,Low,No,No,25.9,Moderate,High,Good,East,Low,Primary,Average,Regularly,No,None,2010,Alive
+P100341,46,Female,Never,24,3,High,None,High,No,No,25.2,Moderate,Moderate,Good,South,Middle,Tertiary,Average,Occasionally,Yes,None,2018,Alive
+P100342,50,Male,Never,31,38,Medium,Diesel Fumes,Moderate,Yes,No,23.9,High,Moderate,Good,West,Low,Secondary,Average,Never,No,None,2016,Alive
+P100343,40,Male,Current,37,7,High,None,High,No,Yes,18.3,Low,None,Good,West,Low,Primary,Good,Never,No,None,2007,Alive
+P100344,75,Female,Current,21,23,Low,Silica,Moderate,No,No,19.4,Low,Moderate,Poor,South,Middle,Secondary,Good,Occasionally,Yes,None,2005,Alive
+P100345,81,Female,Former,15,27,Medium,Asbestos,Moderate,No,No,24.9,Low,Moderate,Average,East,Middle,Primary,Average,Occasionally,No,None,2004,Alive
+P100346,53,Female,Never,28,26,High,Silica,Low,No,No,26.7,High,Moderate,Average,South,Middle,Secondary,Poor,Occasionally,No,None,2007,Alive
+P100347,71,Male,Former,15,0,Medium,Diesel Fumes,Low,No,No,31.3,Low,None,Average,South,High,Primary,Average,Regularly,No,Stage IV,2007,Alive
+P100348,86,Female,Former,11,33,Low,Diesel Fumes,High,Yes,Yes,24.0,Moderate,High,Average,West,Low,Tertiary,Good,Never,No,None,2002,Deceased
+P100349,40,Male,Former,16,16,Medium,Asbestos,Moderate,No,No,32.6,Moderate,None,Good,North,Middle,Secondary,Good,Regularly,Yes,None,2018,Alive
+P100350,72,Male,Current,36,36,Low,Silica,High,No,No,19.0,Moderate,High,Poor,North,Low,Secondary,Average,Regularly,No,None,2015,Alive
+P100351,63,Female,Current,26,37,High,Diesel Fumes,Low,No,No,26.1,Moderate,Moderate,Average,North,High,Primary,Average,Occasionally,No,None,2009,Alive
+P100352,57,Female,Never,24,25,Medium,Silica,Low,Yes,No,23.7,Moderate,High,Average,North,High,Tertiary,Good,Regularly,No,None,2022,Alive
+P100353,47,Male,Never,12,23,High,Diesel Fumes,Low,No,Yes,18.4,Moderate,High,Average,North,Middle,Tertiary,Good,Regularly,Yes,None,2002,Alive
+P100354,34,Female,Current,7,38,Low,Asbestos,Low,No,Yes,16.5,Moderate,High,Good,West,Low,Tertiary,Poor,Occasionally,No,None,2008,Deceased
+P100355,58,Female,Never,4,20,Low,Diesel Fumes,Low,Yes,No,22.8,Moderate,High,Average,North,High,Primary,Average,Occasionally,No,None,2007,Alive
+P100356,76,Male,Never,11,29,High,Silica,High,Yes,No,23.2,Moderate,Moderate,Average,South,High,Secondary,Average,Occasionally,No,Stage IV,2007,Alive
+P100357,34,Female,Never,40,12,High,Silica,High,Yes,Yes,20.6,High,None,Poor,West,Low,Primary,Poor,Never,Yes,None,2024,Alive
+P100358,43,Male,Never,2,36,Low,Diesel Fumes,Low,Yes,No,28.8,High,High,Good,South,High,Tertiary,Good,Never,No,None,2007,Alive
+P100359,82,Male,Former,34,2,High,None,Moderate,No,No,23.0,Moderate,Moderate,Poor,North,Low,Tertiary,Good,Regularly,Yes,None,2019,Alive
+P100360,25,Female,Current,32,31,Low,Asbestos,Moderate,No,No,20.1,Moderate,Moderate,Average,East,Middle,Secondary,Poor,Regularly,No,None,2006,Alive
+P100361,28,Male,Former,21,34,High,Asbestos,Moderate,No,No,23.8,Moderate,Moderate,Good,North,Low,Primary,Average,Never,No,Stage II,2013,Deceased
+P100362,40,Male,Former,49,18,Low,Diesel Fumes,Moderate,Yes,No,21.8,Low,Moderate,Average,West,Middle,Primary,Good,Regularly,Yes,None,2021,Alive
+P100363,48,Female,Current,43,13,Low,Diesel Fumes,Moderate,No,No,33.2,High,High,Average,South,Low,Tertiary,Poor,Occasionally,No,None,2016,Deceased
+P100364,26,Female,Former,8,21,Medium,None,Low,Yes,No,23.4,Moderate,None,Good,East,High,Secondary,Poor,Never,No,None,2011,Alive
+P100365,56,Female,Current,40,16,Low,Asbestos,High,Yes,No,20.4,High,Moderate,Poor,East,Middle,Secondary,Poor,Regularly,Yes,None,2004,Alive
+P100366,48,Male,Current,17,3,Low,None,Low,No,Yes,33.2,Moderate,None,Good,East,Low,Tertiary,Good,Regularly,No,Stage III,2001,Alive
+P100367,36,Male,Never,49,39,Medium,Asbestos,Moderate,Yes,No,28.6,Low,None,Good,South,Middle,Primary,Good,Regularly,No,None,2024,Alive
+P100368,74,Female,Current,28,18,Medium,Diesel Fumes,Moderate,Yes,No,25.5,Moderate,None,Poor,West,Low,Primary,Poor,Never,No,None,2014,Deceased
+P100369,59,Male,Former,38,36,High,Asbestos,High,No,No,21.0,High,Moderate,Good,East,Low,Secondary,Poor,Never,Yes,None,2010,Alive
+P100370,57,Female,Current,26,1,High,Asbestos,Low,No,No,28.8,High,Moderate,Poor,South,Middle,Secondary,Good,Never,No,None,2014,Deceased
+P100371,57,Female,Former,35,14,Low,Asbestos,High,Yes,No,17.7,High,Moderate,Poor,South,Middle,Tertiary,Good,Occasionally,No,None,2012,Alive
+P100372,85,Male,Current,44,1,High,None,Moderate,No,No,28.5,High,None,Good,North,Middle,Secondary,Good,Regularly,No,None,2018,Alive
+P100373,75,Female,Current,16,10,High,None,Moderate,No,No,26.3,Moderate,Moderate,Good,South,High,Primary,Good,Regularly,Yes,None,2011,Alive
+P100374,67,Male,Never,33,22,Low,Asbestos,High,Yes,No,30.0,Low,Moderate,Poor,West,Low,Primary,Good,Occasionally,No,None,2014,Alive
+P100375,36,Male,Former,45,9,Medium,Silica,Moderate,Yes,No,13.2,Low,None,Poor,West,Low,Secondary,Poor,Never,No,None,2011,Alive
+P100376,89,Female,Current,2,2,Medium,None,Low,No,No,20.4,Moderate,Moderate,Poor,East,Middle,Tertiary,Good,Never,No,None,2022,Alive
+P100377,57,Male,Current,4,4,Low,Diesel Fumes,Moderate,No,No,20.0,Moderate,High,Poor,South,Low,Primary,Good,Never,Yes,Stage III,2017,Alive
+P100378,64,Female,Never,13,2,Low,Diesel Fumes,Moderate,Yes,No,19.4,High,High,Poor,South,Low,Primary,Poor,Occasionally,Yes,None,2022,Alive
+P100379,67,Male,Current,2,37,Low,Asbestos,Low,No,No,27.1,Moderate,High,Good,North,Low,Tertiary,Poor,Regularly,No,None,2003,Deceased
+P100380,68,Male,Former,22,12,Low,Diesel Fumes,Moderate,Yes,No,23.5,Low,High,Average,North,Middle,Secondary,Average,Occasionally,No,Stage I,2010,Alive
+P100381,53,Male,Never,38,18,Low,None,High,Yes,No,20.6,Moderate,None,Good,South,Low,Primary,Good,Regularly,No,None,2021,Alive
+P100382,37,Female,Former,29,39,Low,Silica,High,No,No,19.5,Moderate,Moderate,Average,South,Low,Primary,Average,Regularly,No,None,2014,Deceased
+P100383,36,Male,Never,49,34,High,Silica,Moderate,No,No,20.2,Low,High,Poor,South,High,Tertiary,Average,Regularly,No,None,2024,Alive
+P100384,70,Female,Current,44,23,High,Silica,Low,No,Yes,29.3,Low,High,Good,North,High,Secondary,Poor,Occasionally,Yes,None,2023,Alive
+P100385,26,Male,Former,22,23,High,Diesel Fumes,Low,No,No,24.7,Moderate,Moderate,Average,North,Middle,Tertiary,Poor,Never,No,None,2024,Alive
+P100386,59,Male,Current,26,16,Medium,Asbestos,High,No,No,29.2,High,None,Poor,West,Low,Tertiary,Average,Never,No,None,2004,Alive
+P100387,32,Female,Never,9,39,Low,Diesel Fumes,Moderate,Yes,No,38.3,High,High,Good,East,Low,Secondary,Average,Occasionally,No,Stage IV,2004,Alive
+P100388,50,Female,Former,24,9,Low,Asbestos,Low,No,No,24.9,High,Moderate,Average,East,High,Primary,Average,Regularly,No,None,2019,Alive
+P100389,58,Female,Never,12,1,High,Silica,Low,Yes,No,17.9,Low,Moderate,Good,East,Middle,Tertiary,Average,Occasionally,No,None,2024,Alive
+P100390,31,Female,Never,15,22,Medium,None,High,No,No,24.3,Low,High,Average,East,Middle,Primary,Good,Never,No,None,2009,Alive
+P100391,82,Female,Never,40,5,High,Diesel Fumes,High,Yes,No,34.4,High,High,Good,North,Low,Primary,Average,Occasionally,No,None,2023,Alive
+P100392,53,Male,Never,33,1,Low,None,Low,No,No,30.4,Moderate,Moderate,Good,North,High,Primary,Poor,Regularly,No,None,2021,Alive
+P100393,60,Male,Former,36,20,Low,Silica,High,No,No,21.8,Moderate,Moderate,Average,South,High,Primary,Average,Never,No,None,2009,Alive
+P100394,45,Female,Never,21,34,High,Asbestos,Low,Yes,No,23.5,Moderate,High,Good,West,High,Tertiary,Average,Regularly,No,None,2021,Alive
+P100395,60,Male,Former,16,28,High,None,Moderate,No,No,28.9,Low,High,Good,West,Low,Secondary,Poor,Occasionally,No,None,2005,Alive
+P100396,34,Male,Former,22,6,Low,Diesel Fumes,High,No,No,27.4,Low,High,Poor,East,Low,Primary,Average,Regularly,No,Stage II,2005,Alive
+P100397,48,Male,Current,35,28,High,None,High,Yes,No,28.9,High,High,Average,South,Low,Primary,Poor,Occasionally,Yes,None,2022,Alive
+P100398,88,Female,Current,48,36,Low,None,Moderate,Yes,No,23.8,Moderate,None,Good,South,High,Primary,Good,Never,Yes,None,2005,Deceased
+P100399,73,Male,Former,8,22,High,Diesel Fumes,Low,Yes,No,26.9,Low,Moderate,Average,North,Middle,Secondary,Good,Never,No,None,2023,Alive
+P100400,60,Male,Former,1,32,Medium,Asbestos,Low,No,No,23.5,Low,High,Good,South,Low,Primary,Poor,Never,No,Stage I,2006,Deceased
+P100401,48,Male,Never,31,7,Low,Diesel Fumes,High,Yes,No,32.0,High,Moderate,Average,West,Low,Secondary,Good,Regularly,No,Stage III,2017,Alive
+P100402,47,Female,Current,49,11,Medium,Silica,Low,Yes,No,17.4,Moderate,High,Average,West,Middle,Tertiary,Good,Occasionally,No,Stage IV,2003,Deceased
+P100403,86,Male,Never,21,9,High,Asbestos,Low,No,No,17.4,Low,None,Poor,South,Middle,Secondary,Good,Occasionally,No,Stage IV,2013,Alive
+P100404,61,Male,Never,42,14,Medium,None,Moderate,No,No,21.4,Low,Moderate,Poor,North,High,Primary,Poor,Occasionally,Yes,Stage IV,2010,Alive
+P100405,36,Female,Never,12,23,High,Diesel Fumes,Moderate,No,No,21.6,Low,None,Average,West,Low,Tertiary,Average,Regularly,No,None,2006,Alive
+P100406,79,Female,Former,7,25,Medium,Silica,Moderate,No,No,17.4,Low,Moderate,Good,North,High,Secondary,Good,Occasionally,No,None,2017,Alive
+P100407,37,Male,Never,0,38,Medium,Diesel Fumes,High,No,No,16.5,Moderate,None,Average,North,Low,Primary,Average,Never,Yes,None,2019,Alive
+P100408,47,Male,Current,16,2,Medium,Asbestos,Moderate,No,No,30.3,High,High,Good,West,High,Tertiary,Average,Occasionally,No,None,2001,Alive
+P100409,54,Female,Never,11,1,Low,Silica,Moderate,Yes,No,24.2,Moderate,High,Average,North,High,Tertiary,Good,Regularly,Yes,None,2001,Alive
+P100410,41,Female,Current,3,5,Medium,None,Low,Yes,No,23.8,High,None,Poor,East,Middle,Secondary,Good,Never,No,Stage I,2006,Alive
+P100411,86,Female,Never,12,20,High,Asbestos,Moderate,No,No,25.3,Low,High,Poor,East,Low,Primary,Average,Never,No,None,2010,Alive
+P100412,37,Female,Never,30,8,High,Silica,High,Yes,Yes,33.0,Moderate,None,Good,East,Middle,Secondary,Good,Regularly,No,Stage II,2017,Alive
+P100413,83,Female,Current,40,9,Low,Asbestos,Moderate,Yes,Yes,25.6,High,None,Average,South,Middle,Tertiary,Poor,Never,No,None,2019,Deceased
+P100414,43,Female,Never,6,35,Low,None,High,Yes,No,24.4,High,Moderate,Good,West,Middle,Tertiary,Poor,Occasionally,Yes,None,2006,Alive
+P100415,73,Female,Current,22,2,High,Silica,Low,Yes,No,21.8,Low,None,Poor,East,Low,Primary,Good,Regularly,No,None,2021,Alive
+P100416,36,Male,Former,23,23,Medium,Diesel Fumes,Low,No,No,28.0,High,Moderate,Average,North,High,Tertiary,Average,Occasionally,No,Stage I,2019,Alive
+P100417,85,Female,Never,4,21,High,Diesel Fumes,Moderate,No,No,24.7,High,None,Poor,East,High,Primary,Good,Regularly,No,None,2024,Alive
+P100418,43,Female,Current,4,13,Low,None,Low,Yes,No,33.3,High,Moderate,Poor,North,Low,Secondary,Poor,Regularly,No,None,2004,Alive
+P100419,33,Male,Never,16,26,Low,Silica,Moderate,No,No,24.2,Low,Moderate,Average,West,Low,Tertiary,Average,Regularly,No,None,2001,Alive
+P100420,52,Female,Current,29,32,High,None,Low,Yes,No,30.0,Moderate,High,Good,East,High,Tertiary,Good,Occasionally,Yes,None,2013,Alive
+P100421,76,Female,Never,8,21,Medium,None,High,Yes,No,21.4,Low,Moderate,Average,West,High,Primary,Poor,Regularly,No,Stage II,2006,Alive
+P100422,40,Male,Current,5,28,Medium,Asbestos,Low,No,No,21.4,High,Moderate,Poor,East,Middle,Primary,Average,Never,No,None,2009,Alive
+P100423,36,Female,Never,24,18,Low,Diesel Fumes,Moderate,Yes,No,15.9,High,None,Poor,North,High,Secondary,Poor,Occasionally,No,None,2017,Alive
+P100424,49,Male,Former,18,18,High,None,Moderate,No,No,29.0,Moderate,Moderate,Poor,North,Middle,Primary,Good,Regularly,Yes,None,2007,Alive
+P100425,76,Male,Current,15,5,High,Asbestos,Moderate,No,No,24.8,High,High,Poor,South,High,Tertiary,Good,Regularly,No,Stage II,2022,Alive
+P100426,77,Male,Current,20,18,Low,None,High,No,No,28.2,Moderate,None,Good,South,High,Secondary,Poor,Occasionally,Yes,None,2015,Alive
+P100427,47,Male,Current,1,12,High,None,Low,No,No,33.5,High,Moderate,Average,South,High,Secondary,Poor,Never,No,None,2013,Deceased
+P100428,40,Female,Current,9,25,Low,None,Moderate,No,No,20.8,High,None,Average,East,Middle,Secondary,Poor,Never,No,Stage I,2008,Alive
+P100429,81,Male,Current,15,21,Medium,Diesel Fumes,High,No,No,20.0,Low,None,Good,West,Middle,Primary,Poor,Regularly,No,None,2005,Alive
+P100430,63,Male,Never,36,20,Medium,Silica,High,No,No,21.1,Low,None,Good,East,High,Primary,Poor,Regularly,Yes,None,2006,Alive
+P100431,77,Female,Never,14,35,High,Diesel Fumes,High,No,No,14.5,Moderate,None,Poor,North,Middle,Tertiary,Average,Never,No,None,2008,Alive
+P100432,66,Male,Never,12,1,Medium,Asbestos,Low,No,No,24.0,Low,None,Average,West,Middle,Secondary,Good,Regularly,No,Stage I,2006,Alive
+P100433,82,Male,Former,12,29,Medium,Silica,Low,Yes,No,29.4,Moderate,Moderate,Average,North,Middle,Secondary,Average,Never,No,None,2008,Alive
+P100434,63,Male,Former,31,26,Low,Asbestos,Low,No,No,25.2,Low,None,Average,South,Middle,Secondary,Poor,Never,No,Stage IV,2023,Alive
+P100435,38,Male,Former,44,6,Low,None,High,Yes,No,17.1,Moderate,None,Good,North,Low,Tertiary,Average,Never,Yes,None,2020,Alive
+P100436,29,Female,Never,46,19,High,Silica,Low,No,No,23.2,High,High,Poor,East,Middle,Primary,Good,Never,No,None,2006,Alive
+P100437,59,Male,Current,45,30,Low,Asbestos,Moderate,Yes,Yes,25.6,Moderate,High,Poor,North,High,Secondary,Poor,Regularly,No,None,2011,Alive
+P100438,42,Female,Never,7,22,High,None,High,No,No,29.8,Low,None,Average,North,Middle,Primary,Poor,Occasionally,Yes,Stage I,2022,Alive
+P100439,33,Female,Former,42,12,High,Asbestos,Low,No,No,29.0,Moderate,Moderate,Poor,North,High,Primary,Good,Occasionally,No,None,2016,Deceased
+P100440,82,Male,Former,17,16,Low,Asbestos,High,No,No,23.3,Low,High,Good,West,Middle,Primary,Average,Never,No,None,2019,Alive
+P100441,41,Male,Current,35,3,Medium,Diesel Fumes,High,Yes,No,23.3,High,High,Good,North,High,Primary,Good,Regularly,No,None,2020,Alive
+P100442,31,Male,Current,25,13,Medium,None,Low,Yes,No,28.0,Low,None,Average,North,Low,Primary,Good,Occasionally,No,None,2011,Alive
+P100443,70,Male,Current,9,19,Medium,Diesel Fumes,High,No,No,22.0,High,Moderate,Poor,South,High,Tertiary,Average,Occasionally,No,None,2021,Alive
+P100444,37,Female,Never,30,12,Medium,Silica,Low,Yes,No,29.3,High,Moderate,Good,South,Middle,Primary,Average,Never,No,None,2022,Alive
+P100445,64,Female,Former,32,2,High,None,Low,No,No,21.7,Low,High,Good,East,Middle,Secondary,Poor,Never,No,None,2004,Deceased
+P100446,66,Female,Never,28,25,Medium,Diesel Fumes,Low,Yes,No,32.8,High,High,Good,South,High,Secondary,Poor,Regularly,No,None,2017,Alive
+P100447,33,Male,Former,4,25,High,Diesel Fumes,High,Yes,No,26.2,Low,High,Good,North,Low,Secondary,Poor,Occasionally,No,None,2004,Alive
+P100448,74,Female,Former,12,17,Low,Silica,High,Yes,No,15.2,Moderate,High,Poor,South,Middle,Tertiary,Good,Never,No,None,2004,Alive
+P100449,51,Male,Never,0,31,Low,Asbestos,Low,No,No,28.2,High,High,Good,West,Middle,Primary,Average,Never,No,None,2006,Alive
+P100450,29,Male,Never,22,13,High,Asbestos,High,Yes,No,26.3,Moderate,None,Good,East,High,Secondary,Average,Regularly,No,None,2002,Alive
+P100451,53,Male,Current,39,2,Medium,Asbestos,Low,Yes,Yes,27.4,Moderate,None,Poor,South,High,Secondary,Poor,Never,No,None,2000,Alive
+P100452,61,Male,Current,2,0,High,Silica,Moderate,No,No,36.3,Low,None,Average,East,Low,Secondary,Good,Never,No,None,2005,Alive
+P100453,62,Male,Former,2,25,Medium,Diesel Fumes,High,No,No,23.7,Low,High,Average,East,High,Primary,Good,Never,Yes,None,2006,Alive
+P100454,32,Female,Never,6,23,Medium,None,High,Yes,Yes,17.2,High,None,Good,East,Middle,Secondary,Average,Never,No,None,2007,Alive
+P100455,89,Female,Never,35,34,High,Silica,Moderate,Yes,No,31.3,Low,High,Average,West,High,Primary,Average,Never,No,None,2013,Alive
+P100456,41,Male,Former,34,13,High,Asbestos,Moderate,No,No,16.1,Moderate,Moderate,Poor,North,Low,Secondary,Average,Regularly,Yes,None,2022,Alive
+P100457,69,Female,Current,14,2,Medium,Asbestos,Moderate,No,No,21.3,Moderate,Moderate,Good,West,Low,Secondary,Average,Never,No,None,2014,Alive
+P100458,28,Male,Never,39,12,High,None,Low,No,No,25.2,Moderate,None,Poor,East,Middle,Primary,Good,Occasionally,No,None,2006,Alive
+P100459,60,Male,Current,2,13,Medium,Silica,Low,No,No,20.5,High,Moderate,Average,South,High,Secondary,Poor,Never,No,None,2006,Deceased
+P100460,55,Male,Never,28,20,High,Asbestos,Moderate,No,No,24.7,Low,Moderate,Average,South,Middle,Tertiary,Average,Never,No,None,2000,Alive
+P100461,43,Female,Current,29,25,Low,Silica,Low,Yes,No,24.3,Moderate,Moderate,Good,West,Low,Primary,Average,Occasionally,No,None,2008,Alive
+P100462,85,Male,Former,38,2,Medium,Diesel Fumes,High,No,No,32.7,High,None,Average,South,Low,Secondary,Average,Occasionally,Yes,None,2024,Alive
+P100463,78,Male,Current,17,39,Low,Silica,Moderate,No,Yes,12.9,Low,Moderate,Good,East,High,Tertiary,Good,Never,No,None,2006,Alive
+P100464,63,Female,Former,10,3,High,Diesel Fumes,High,Yes,No,25.4,Low,None,Good,East,High,Tertiary,Poor,Regularly,No,None,2024,Alive
+P100465,43,Female,Current,42,35,Low,None,Low,No,No,20.4,Moderate,High,Poor,North,Middle,Primary,Good,Occasionally,No,None,2019,Alive
+P100466,63,Female,Never,48,0,High,Diesel Fumes,Moderate,No,No,22.2,High,High,Average,East,Low,Secondary,Poor,Regularly,No,None,2006,Alive
+P100467,69,Male,Never,37,39,Medium,Diesel Fumes,Low,No,No,28.4,Moderate,None,Average,South,Middle,Primary,Good,Never,Yes,None,2017,Alive
+P100468,37,Male,Current,39,32,High,None,High,Yes,No,27.6,Moderate,None,Good,North,Middle,Tertiary,Average,Never,No,None,2013,Alive
+P100469,82,Female,Current,0,6,High,Asbestos,Low,No,No,26.7,High,Moderate,Good,South,Middle,Tertiary,Average,Occasionally,No,Stage III,2021,Deceased
+P100470,44,Male,Current,28,10,Medium,None,High,No,No,18.7,Moderate,High,Good,West,Low,Primary,Poor,Occasionally,No,Stage IV,2014,Alive
+P100471,85,Female,Current,9,26,High,Silica,Low,No,No,30.9,High,Moderate,Good,North,High,Primary,Good,Regularly,Yes,Stage I,2017,Alive
+P100472,63,Female,Current,27,13,Medium,None,High,No,No,20.6,High,High,Poor,East,Low,Secondary,Poor,Never,No,None,2009,Alive
+P100473,25,Male,Never,30,21,High,Silica,Low,Yes,No,31.9,Moderate,Moderate,Average,North,Middle,Tertiary,Good,Occasionally,No,Stage III,2002,Deceased
+P100474,27,Male,Former,18,15,Medium,Asbestos,Moderate,Yes,No,21.8,Moderate,Moderate,Poor,East,Low,Primary,Average,Occasionally,No,None,2010,Alive
+P100475,86,Female,Former,2,11,Low,Silica,Moderate,No,No,30.2,Low,High,Average,East,Middle,Tertiary,Poor,Occasionally,No,None,2000,Alive
+P100476,87,Female,Current,35,9,High,None,Low,No,No,25.5,Low,Moderate,Poor,South,Middle,Primary,Poor,Regularly,No,None,2022,Deceased
+P100477,49,Female,Former,42,23,High,None,High,No,No,16.6,High,High,Good,East,High,Secondary,Average,Never,No,None,2001,Alive
+P100478,80,Female,Never,14,17,High,Asbestos,Low,No,No,23.2,High,None,Poor,East,Middle,Tertiary,Average,Occasionally,No,None,2015,Alive
+P100479,57,Male,Former,32,21,Medium,None,Moderate,No,No,33.5,High,Moderate,Poor,East,Low,Secondary,Average,Occasionally,No,None,2002,Deceased
+P100480,62,Female,Current,40,8,High,Asbestos,High,No,Yes,29.1,Low,High,Good,South,High,Secondary,Average,Occasionally,No,None,2016,Alive
+P100481,30,Female,Former,42,16,Medium,Asbestos,Low,No,No,22.8,Moderate,High,Good,East,High,Tertiary,Average,Never,No,None,2002,Alive
+P100482,82,Female,Never,44,37,High,None,Low,Yes,No,31.5,Moderate,Moderate,Average,West,High,Primary,Average,Regularly,Yes,None,2010,Deceased
+P100483,68,Male,Never,25,39,Low,Diesel Fumes,High,No,No,26.4,Low,High,Average,South,High,Secondary,Good,Regularly,No,None,2003,Alive
+P100484,69,Male,Never,15,12,High,Silica,Low,Yes,No,33.2,Moderate,Moderate,Poor,West,High,Secondary,Good,Never,No,None,2006,Alive
+P100485,56,Female,Never,35,36,Low,Diesel Fumes,Moderate,Yes,No,24.6,Moderate,Moderate,Poor,North,Low,Tertiary,Poor,Regularly,Yes,None,2021,Alive
+P100486,69,Male,Current,32,5,Medium,Asbestos,Moderate,No,No,23.5,Moderate,None,Poor,South,Middle,Tertiary,Good,Regularly,No,None,2015,Alive
+P100487,85,Male,Current,19,20,Low,Silica,High,Yes,No,29.9,Low,None,Good,West,Middle,Tertiary,Poor,Occasionally,No,None,2016,Alive
+P100488,71,Male,Current,12,35,High,Diesel Fumes,Low,Yes,No,26.3,High,None,Average,South,Middle,Secondary,Good,Regularly,No,None,2010,Alive
+P100489,45,Female,Former,32,6,High,None,Low,Yes,No,27.8,Moderate,Moderate,Poor,East,Middle,Primary,Good,Occasionally,Yes,None,2003,Alive
+P100490,60,Female,Current,4,35,Medium,Diesel Fumes,Moderate,No,No,20.7,Moderate,Moderate,Average,South,High,Primary,Average,Regularly,No,None,2024,Alive
+P100491,43,Male,Never,36,24,High,Silica,High,Yes,No,30.9,High,High,Average,North,Middle,Tertiary,Good,Occasionally,No,Stage I,2002,Alive
+P100492,44,Female,Former,13,10,High,Silica,High,Yes,No,29.9,Moderate,None,Good,West,Middle,Secondary,Good,Never,No,None,2021,Alive
+P100493,81,Female,Current,26,13,Medium,Silica,High,No,No,31.8,Moderate,None,Good,South,High,Secondary,Good,Never,No,None,2015,Alive
+P100494,42,Male,Never,22,28,Medium,Silica,Moderate,No,No,18.2,High,High,Poor,East,High,Secondary,Average,Regularly,Yes,None,2001,Deceased
+P100495,71,Male,Never,13,9,Low,Diesel Fumes,Moderate,Yes,Yes,19.2,Low,None,Poor,West,High,Tertiary,Average,Occasionally,No,Stage II,2004,Alive
+P100496,73,Female,Current,39,4,Medium,None,High,No,No,21.3,Low,None,Poor,West,Middle,Secondary,Good,Never,No,None,2024,Alive
+P100497,38,Male,Former,3,7,High,None,High,No,No,23.8,Moderate,None,Poor,West,High,Secondary,Poor,Never,No,None,2017,Alive
+P100498,39,Female,Current,38,4,Medium,Silica,Low,Yes,No,18.3,Moderate,High,Poor,North,High,Primary,Good,Regularly,No,None,2002,Alive
+P100499,55,Female,Never,18,23,High,None,Low,Yes,Yes,28.2,High,None,Average,East,Low,Tertiary,Average,Occasionally,No,None,2001,Alive
+P100500,25,Male,Current,46,39,Low,Diesel Fumes,High,Yes,No,22.8,High,Moderate,Average,East,Low,Tertiary,Average,Occasionally,No,None,2001,Deceased
+P100501,78,Female,Former,3,25,Medium,None,Moderate,No,Yes,31.3,Moderate,None,Good,West,Middle,Tertiary,Poor,Never,No,None,2021,Alive
+P100502,27,Female,Never,29,5,High,Asbestos,Moderate,Yes,No,35.5,Moderate,Moderate,Good,South,High,Secondary,Average,Regularly,No,None,2021,Alive
+P100503,40,Male,Current,18,15,Medium,None,Low,Yes,No,22.0,Low,None,Average,West,Middle,Secondary,Average,Never,No,None,2020,Alive
+P100504,81,Male,Never,30,35,Medium,Silica,High,No,No,21.2,Low,Moderate,Good,East,Low,Primary,Good,Never,No,None,2001,Alive
+P100505,36,Male,Former,30,11,Medium,None,Moderate,No,No,28.7,Low,None,Good,North,Low,Tertiary,Poor,Regularly,Yes,None,2015,Alive
+P100506,40,Female,Never,8,10,Medium,None,Moderate,No,No,25.5,Low,Moderate,Poor,North,High,Secondary,Average,Regularly,No,None,2000,Alive
+P100507,48,Male,Never,12,2,Low,None,Moderate,No,No,26.8,High,Moderate,Good,West,Middle,Primary,Average,Regularly,No,None,2018,Deceased
+P100508,52,Male,Never,13,36,High,None,Moderate,Yes,No,31.6,Low,None,Good,North,Low,Secondary,Good,Occasionally,No,None,2018,Alive
+P100509,32,Male,Never,45,5,Medium,Asbestos,Low,Yes,No,23.6,Low,High,Good,North,High,Secondary,Good,Regularly,Yes,None,2008,Alive
+P100510,60,Male,Current,9,18,High,Diesel Fumes,Moderate,Yes,No,19.7,Moderate,None,Average,South,Middle,Tertiary,Good,Regularly,No,None,2019,Deceased
+P100511,32,Female,Never,47,17,Low,Silica,Moderate,No,No,18.8,Low,High,Average,North,High,Tertiary,Good,Never,Yes,None,2008,Alive
+P100512,82,Female,Former,30,15,High,Silica,High,Yes,No,24.1,Moderate,High,Poor,South,High,Secondary,Poor,Regularly,No,None,2010,Alive
+P100513,84,Male,Never,36,22,High,None,High,No,No,23.2,Moderate,High,Good,West,Low,Secondary,Good,Regularly,No,None,2000,Alive
+P100514,74,Female,Former,22,36,Low,Diesel Fumes,Low,No,Yes,29.3,Low,High,Average,East,Middle,Secondary,Poor,Never,No,None,2018,Alive
+P100515,52,Male,Current,26,8,Medium,None,Low,No,No,32.0,Low,High,Poor,East,Low,Secondary,Average,Occasionally,Yes,Stage II,2016,Alive
+P100516,65,Male,Never,5,2,High,Asbestos,Low,Yes,No,31.9,Moderate,High,Good,South,Middle,Secondary,Average,Regularly,No,None,2005,Alive
+P100517,88,Female,Current,25,7,High,Diesel Fumes,Low,No,No,21.5,High,None,Poor,East,Middle,Tertiary,Good,Never,No,None,2000,Alive
+P100518,51,Female,Never,1,37,Medium,Diesel Fumes,Moderate,Yes,No,21.0,Moderate,Moderate,Poor,West,High,Tertiary,Good,Occasionally,No,None,2017,Alive
+P100519,87,Male,Current,44,3,Medium,Diesel Fumes,High,Yes,No,15.9,High,Moderate,Good,East,High,Secondary,Good,Occasionally,No,None,2008,Alive
+P100520,41,Male,Former,12,11,High,Diesel Fumes,Moderate,Yes,No,25.0,High,None,Average,North,Middle,Secondary,Average,Regularly,No,None,2000,Alive
+P100521,57,Female,Current,49,30,Low,None,Moderate,No,No,29.4,Low,None,Good,West,High,Tertiary,Average,Occasionally,No,Stage IV,2003,Deceased
+P100522,53,Male,Former,18,24,Medium,Asbestos,Moderate,Yes,No,21.5,Low,None,Good,West,Low,Secondary,Average,Regularly,No,None,2021,Deceased
+P100523,37,Female,Former,0,15,Medium,Diesel Fumes,High,Yes,No,17.6,Low,High,Good,East,Middle,Tertiary,Poor,Occasionally,No,None,2017,Alive
+P100524,70,Male,Never,39,13,Low,Silica,Low,No,No,34.4,Low,High,Average,East,Low,Tertiary,Average,Occasionally,No,None,2016,Deceased
+P100525,59,Male,Never,31,12,High,Silica,Low,Yes,No,21.5,Moderate,Moderate,Good,South,High,Tertiary,Good,Occasionally,No,None,2019,Deceased
+P100526,30,Female,Current,21,6,Medium,Asbestos,High,No,No,24.4,High,None,Average,North,Middle,Tertiary,Poor,Regularly,No,None,2018,Deceased
+P100527,71,Female,Former,47,11,High,Silica,High,Yes,Yes,22.7,Moderate,Moderate,Poor,East,High,Primary,Poor,Occasionally,No,None,2022,Alive
+P100528,49,Female,Former,28,36,High,None,Low,No,No,18.3,High,Moderate,Average,East,Low,Secondary,Poor,Never,No,None,2022,Alive
+P100529,34,Female,Current,1,3,High,None,Moderate,No,No,29.5,Moderate,High,Poor,South,Middle,Secondary,Average,Never,No,Stage I,2013,Alive
+P100530,80,Female,Former,39,1,Low,Asbestos,Low,No,No,16.3,High,High,Poor,East,High,Secondary,Average,Occasionally,No,None,2006,Alive
+P100531,54,Female,Current,37,34,High,Diesel Fumes,High,No,No,30.6,Low,Moderate,Good,North,Low,Tertiary,Average,Regularly,No,None,2008,Deceased
+P100532,29,Female,Current,47,2,High,Silica,Low,No,No,26.3,High,High,Average,North,Low,Tertiary,Average,Never,No,None,2024,Alive
+P100533,57,Male,Former,10,3,Medium,Silica,Low,Yes,No,23.7,Low,High,Poor,West,High,Tertiary,Good,Occasionally,No,None,2019,Alive
+P100534,89,Male,Current,16,37,Medium,Asbestos,Low,Yes,No,23.7,High,High,Poor,West,Middle,Secondary,Poor,Never,No,None,2008,Alive
+P100535,42,Male,Never,42,11,Low,Asbestos,High,Yes,No,27.3,Moderate,Moderate,Average,North,High,Tertiary,Poor,Never,No,None,2014,Alive
+P100536,73,Female,Never,7,18,Low,Silica,High,Yes,Yes,21.8,High,Moderate,Average,South,Middle,Primary,Poor,Never,No,Stage III,2010,Alive
+P100537,35,Female,Former,21,9,Medium,Diesel Fumes,Low,No,No,25.9,Moderate,Moderate,Poor,West,Low,Secondary,Poor,Never,Yes,None,2006,Deceased
+P100538,50,Female,Never,3,0,Medium,Asbestos,Low,No,No,20.6,Moderate,None,Poor,North,Low,Primary,Poor,Never,No,Stage I,2005,Alive
+P100539,87,Male,Current,10,16,Low,None,Moderate,Yes,No,14.2,Low,Moderate,Average,North,Low,Primary,Good,Occasionally,No,None,2008,Alive
+P100540,83,Female,Current,7,15,High,Silica,Moderate,No,No,28.1,High,High,Average,West,High,Secondary,Good,Never,No,None,2003,Alive
+P100541,51,Female,Former,8,8,Low,Asbestos,Low,Yes,No,37.2,Moderate,Moderate,Poor,North,High,Primary,Poor,Occasionally,No,Stage III,2016,Alive
+P100542,73,Male,Former,25,8,High,Asbestos,High,No,No,27.8,High,None,Good,North,High,Primary,Poor,Never,No,None,2005,Alive
+P100543,57,Female,Current,1,8,Medium,Asbestos,Moderate,No,No,24.8,Low,High,Average,North,Low,Tertiary,Average,Regularly,No,Stage I,2016,Alive
+P100544,25,Male,Former,15,11,Medium,Silica,Low,Yes,No,23.0,Low,Moderate,Poor,North,Middle,Primary,Poor,Occasionally,No,None,2024,Alive
+P100545,45,Male,Former,30,14,Medium,None,Moderate,Yes,No,23.2,High,Moderate,Poor,West,High,Tertiary,Good,Regularly,No,None,2013,Alive
+P100546,79,Female,Former,5,1,High,None,Moderate,No,No,23.0,Moderate,High,Good,South,High,Primary,Average,Regularly,No,None,2004,Alive
+P100547,30,Female,Current,20,10,Low,Silica,Moderate,Yes,No,26.0,Moderate,Moderate,Average,North,High,Secondary,Good,Never,No,None,2017,Alive
+P100548,29,Female,Former,25,10,High,Asbestos,High,Yes,No,13.1,Moderate,None,Poor,East,Low,Secondary,Average,Never,No,Stage I,2007,Alive
+P100549,27,Male,Current,18,7,Low,Silica,Low,Yes,No,12.2,High,High,Good,South,Middle,Secondary,Average,Never,No,Stage II,2009,Alive
+P100550,77,Male,Current,27,31,Low,Silica,High,Yes,No,27.3,Moderate,Moderate,Average,East,Middle,Secondary,Poor,Never,No,None,2010,Alive
+P100551,47,Male,Former,7,5,Low,Asbestos,High,No,Yes,24.0,Moderate,High,Good,East,Middle,Tertiary,Good,Never,No,None,2021,Alive
+P100552,77,Female,Former,13,19,Medium,Silica,Moderate,No,No,20.1,Moderate,Moderate,Poor,North,High,Primary,Good,Regularly,Yes,None,2002,Alive
+P100553,61,Female,Current,23,38,Low,Diesel Fumes,Low,No,No,19.9,Low,Moderate,Good,West,High,Primary,Poor,Regularly,No,None,2001,Alive
+P100554,41,Female,Former,47,34,Medium,None,Moderate,No,No,22.2,Moderate,High,Poor,East,Middle,Secondary,Average,Never,No,Stage IV,2013,Alive
+P100555,25,Female,Current,43,7,Low,Diesel Fumes,High,Yes,No,22.9,High,Moderate,Poor,East,Low,Tertiary,Average,Never,No,None,2003,Deceased
+P100556,75,Male,Current,36,33,Low,Diesel Fumes,High,Yes,No,32.1,High,Moderate,Good,East,Middle,Tertiary,Good,Occasionally,No,None,2016,Alive
+P100557,69,Male,Current,25,18,Medium,Diesel Fumes,Low,Yes,No,19.6,Moderate,High,Good,North,High,Secondary,Poor,Occasionally,No,None,2016,Alive
+P100558,28,Male,Current,30,6,Medium,Silica,High,No,Yes,28.8,High,Moderate,Poor,North,Middle,Primary,Poor,Regularly,No,None,2020,Alive
+P100559,86,Male,Current,31,30,High,Asbestos,High,No,No,28.0,High,Moderate,Good,West,Middle,Secondary,Good,Regularly,No,None,2008,Alive
+P100560,89,Female,Current,49,17,Low,Silica,Low,No,No,24.0,Moderate,High,Average,North,Middle,Primary,Average,Regularly,Yes,None,2020,Deceased
+P100561,56,Female,Former,40,39,Medium,None,Moderate,No,Yes,28.8,Low,None,Average,South,Low,Secondary,Average,Never,Yes,Stage III,2021,Alive
+P100562,58,Female,Never,1,13,High,Silica,Low,Yes,No,27.2,Moderate,None,Good,West,High,Primary,Poor,Regularly,No,None,2008,Alive
+P100563,63,Male,Former,24,38,High,Silica,High,Yes,No,18.7,High,None,Good,North,High,Tertiary,Average,Regularly,Yes,None,2002,Alive
+P100564,50,Male,Current,43,35,Medium,Silica,Low,Yes,No,22.0,High,None,Average,North,Middle,Secondary,Average,Regularly,No,Stage II,2003,Alive
+P100565,58,Female,Former,1,16,Low,Silica,Moderate,No,No,26.9,Moderate,None,Poor,East,High,Primary,Average,Occasionally,No,Stage II,2001,Alive
+P100566,78,Female,Current,41,36,High,Diesel Fumes,High,No,No,22.0,High,None,Poor,North,Low,Primary,Good,Regularly,No,None,2013,Alive
+P100567,27,Male,Former,0,8,Low,Asbestos,Moderate,No,No,28.1,Low,High,Average,East,Middle,Primary,Poor,Regularly,No,None,2019,Alive
+P100568,74,Female,Current,35,19,Low,None,Moderate,No,No,30.8,Moderate,High,Poor,North,Low,Primary,Good,Occasionally,No,None,2007,Alive
+P100569,36,Male,Never,11,27,High,None,Low,No,No,24.9,High,High,Good,North,Middle,Tertiary,Good,Regularly,Yes,Stage III,2017,Deceased
+P100570,89,Male,Current,8,19,Medium,None,Moderate,No,No,22.0,Low,Moderate,Good,North,Middle,Primary,Average,Never,No,None,2003,Alive
+P100571,78,Male,Former,35,35,Low,Silica,Low,Yes,No,21.4,High,None,Average,North,Middle,Tertiary,Poor,Occasionally,No,None,2007,Alive
+P100572,29,Female,Never,40,26,Medium,None,Low,No,No,23.2,Low,None,Average,North,Low,Primary,Average,Regularly,No,Stage I,2006,Deceased
+P100573,81,Female,Never,27,7,High,Diesel Fumes,Moderate,No,No,22.8,High,High,Average,West,High,Tertiary,Poor,Occasionally,No,Stage IV,2024,Alive
+P100574,41,Male,Current,37,31,Low,Asbestos,Low,No,No,29.3,Moderate,Moderate,Average,North,High,Tertiary,Average,Regularly,Yes,None,2014,Alive
+P100575,71,Female,Former,32,0,Medium,Silica,Low,Yes,No,22.1,High,Moderate,Poor,North,High,Primary,Poor,Regularly,No,None,2014,Alive
+P100576,47,Male,Never,41,16,Medium,Silica,Moderate,Yes,No,24.1,Moderate,High,Poor,East,High,Tertiary,Poor,Occasionally,No,None,2001,Alive
+P100577,38,Male,Current,45,8,Low,Diesel Fumes,High,No,No,28.9,Low,None,Poor,South,Low,Secondary,Average,Never,No,None,2003,Deceased
+P100578,75,Male,Current,21,19,Medium,None,Low,Yes,No,23.4,Low,Moderate,Good,South,High,Primary,Average,Occasionally,No,None,2024,Alive
+P100579,62,Male,Current,24,31,Medium,Silica,Low,Yes,No,22.8,High,None,Good,West,High,Secondary,Good,Never,No,None,2021,Deceased
+P100580,88,Female,Former,17,1,High,Silica,Moderate,Yes,No,29.4,Moderate,Moderate,Average,North,Middle,Tertiary,Good,Never,No,None,2024,Alive
+P100581,62,Male,Former,5,31,High,Diesel Fumes,Low,No,No,30.8,Moderate,None,Average,South,Low,Tertiary,Poor,Occasionally,No,Stage I,2008,Alive
+P100582,74,Male,Current,17,8,Medium,Diesel Fumes,Moderate,Yes,No,25.2,Low,Moderate,Poor,East,Middle,Secondary,Average,Regularly,Yes,Stage IV,2022,Alive
+P100583,54,Female,Former,15,29,Medium,None,High,Yes,No,33.3,Low,None,Poor,East,High,Primary,Average,Never,No,Stage II,2006,Alive
+P100584,75,Male,Current,14,19,Low,Asbestos,High,Yes,No,25.8,High,None,Poor,West,Middle,Secondary,Good,Occasionally,No,None,2023,Alive
+P100585,87,Male,Never,47,37,High,Asbestos,Moderate,No,No,29.4,Low,None,Average,East,High,Tertiary,Average,Regularly,No,None,2017,Deceased
+P100586,76,Female,Former,7,0,Low,None,High,Yes,No,34.8,Low,High,Poor,South,Middle,Primary,Poor,Regularly,No,None,2011,Alive
+P100587,62,Female,Never,12,4,Medium,Asbestos,Moderate,No,No,21.9,Moderate,None,Average,South,Low,Secondary,Poor,Regularly,No,None,2013,Alive
+P100588,54,Female,Never,42,34,Low,Diesel Fumes,Low,Yes,No,22.4,Moderate,None,Average,South,Middle,Secondary,Poor,Occasionally,No,None,2006,Alive
+P100589,75,Male,Never,6,35,Medium,Diesel Fumes,High,No,Yes,29.0,Moderate,Moderate,Good,North,Middle,Primary,Good,Occasionally,Yes,None,2005,Alive
+P100590,29,Female,Never,16,0,High,Diesel Fumes,Low,No,No,24.2,Low,Moderate,Good,East,Middle,Secondary,Poor,Regularly,No,None,2022,Alive
+P100591,53,Female,Current,49,13,High,Asbestos,Low,No,No,20.3,High,High,Average,East,Middle,Primary,Good,Regularly,No,None,2021,Alive
+P100592,28,Male,Never,31,8,Medium,Asbestos,Moderate,No,No,23.3,High,Moderate,Poor,North,High,Primary,Good,Regularly,Yes,None,2018,Alive
+P100593,34,Male,Current,21,29,High,Silica,High,No,No,17.9,Low,None,Average,South,Middle,Secondary,Poor,Regularly,No,Stage I,2020,Alive
+P100594,80,Male,Current,12,23,Medium,Silica,High,Yes,No,25.1,High,High,Average,East,Low,Primary,Good,Occasionally,No,None,2018,Deceased
+P100595,41,Male,Former,46,3,Low,Silica,Low,Yes,No,25.8,Low,High,Average,South,Middle,Primary,Good,Regularly,No,None,2021,Alive
+P100596,41,Male,Never,22,13,Medium,Asbestos,Low,Yes,No,30.4,High,High,Average,North,Low,Tertiary,Poor,Never,No,None,2014,Deceased
+P100597,58,Female,Current,28,24,Low,Silica,Moderate,No,No,30.9,Low,None,Good,South,Middle,Tertiary,Poor,Never,No,None,2018,Alive
+P100598,30,Female,Current,21,3,Medium,Diesel Fumes,High,No,No,23.4,Moderate,None,Good,West,High,Tertiary,Good,Occasionally,No,None,2011,Alive
+P100599,77,Female,Current,0,24,High,Asbestos,Moderate,No,No,35.5,High,Moderate,Average,North,Low,Secondary,Good,Never,No,None,2001,Alive
+P100600,67,Male,Current,28,9,Medium,None,Moderate,Yes,No,19.6,Moderate,Moderate,Good,South,Low,Secondary,Average,Never,No,None,2010,Alive
+P100601,47,Male,Current,47,34,Medium,Asbestos,Moderate,No,No,18.0,Moderate,Moderate,Good,North,Middle,Secondary,Poor,Never,Yes,None,2012,Alive
+P100602,79,Male,Former,4,6,Medium,Silica,High,No,No,18.8,High,High,Poor,East,High,Secondary,Average,Occasionally,No,None,2003,Alive
+P100603,40,Female,Former,34,12,High,Asbestos,Moderate,No,Yes,19.1,Low,None,Good,West,High,Primary,Good,Never,No,None,2024,Alive
+P100604,32,Female,Current,9,3,Medium,Silica,High,No,No,28.8,Moderate,Moderate,Good,North,Low,Primary,Average,Regularly,Yes,None,2000,Deceased
+P100605,28,Male,Never,18,35,High,Silica,Moderate,Yes,No,33.4,Moderate,None,Average,South,Middle,Tertiary,Good,Never,No,None,2023,Alive
+P100606,28,Female,Current,36,13,Medium,None,Low,No,No,33.6,Low,High,Good,East,High,Primary,Average,Never,No,None,2020,Alive
+P100607,80,Male,Never,6,17,Low,None,Moderate,No,No,15.6,Low,None,Good,South,High,Secondary,Good,Never,No,None,2001,Alive
+P100608,49,Female,Former,45,7,Medium,Diesel Fumes,Moderate,No,No,29.3,High,None,Good,South,High,Primary,Good,Regularly,No,None,2013,Alive
+P100609,51,Female,Current,34,31,Low,Silica,High,No,Yes,32.6,High,High,Average,North,Middle,Tertiary,Good,Occasionally,No,None,2024,Alive
+P100610,56,Female,Former,44,26,High,Asbestos,Low,Yes,No,30.0,Low,Moderate,Average,North,Middle,Secondary,Poor,Occasionally,No,Stage III,2017,Alive
+P100611,74,Male,Former,12,36,High,None,Low,No,No,21.8,Moderate,None,Good,South,Low,Primary,Good,Never,Yes,Stage II,2010,Alive
+P100612,85,Female,Former,9,22,Medium,None,High,Yes,Yes,25.8,Low,None,Average,North,Middle,Tertiary,Poor,Regularly,No,Stage IV,2010,Deceased
+P100613,75,Female,Current,1,6,High,Silica,High,Yes,No,20.2,High,High,Average,South,High,Primary,Good,Never,No,None,2018,Alive
+P100614,43,Male,Former,5,11,Medium,Asbestos,Low,No,No,28.7,Moderate,None,Poor,North,Low,Tertiary,Average,Occasionally,No,Stage I,2016,Alive
+P100615,45,Female,Current,7,24,High,None,High,No,No,17.7,Moderate,None,Good,West,Middle,Tertiary,Good,Occasionally,No,None,2016,Alive
+P100616,29,Male,Never,35,2,Low,None,Low,Yes,No,28.4,High,None,Poor,North,High,Tertiary,Good,Regularly,No,None,2001,Alive
+P100617,66,Male,Current,24,25,High,Asbestos,Moderate,No,Yes,21.4,Moderate,High,Good,South,High,Secondary,Average,Regularly,No,Stage I,2001,Alive
+P100618,85,Male,Current,43,3,Low,None,Moderate,No,No,26.8,Low,None,Good,East,Low,Primary,Good,Occasionally,No,None,2012,Deceased
+P100619,46,Male,Never,46,35,Medium,Asbestos,Low,Yes,No,23.7,High,High,Poor,North,Low,Primary,Good,Occasionally,No,None,2005,Alive
+P100620,45,Male,Former,39,14,Medium,Silica,Low,Yes,No,23.2,Moderate,Moderate,Poor,West,Middle,Secondary,Good,Occasionally,No,Stage II,2014,Alive
+P100621,25,Female,Never,6,31,Medium,None,Moderate,Yes,No,29.7,High,None,Good,West,Middle,Secondary,Average,Never,No,Stage III,2010,Alive
+P100622,29,Male,Current,45,28,Low,Silica,Moderate,Yes,No,32.6,Moderate,High,Poor,West,Low,Primary,Good,Occasionally,No,None,2023,Alive
+P100623,36,Male,Former,22,9,Medium,Asbestos,Low,Yes,Yes,20.7,Low,High,Poor,West,Low,Secondary,Poor,Occasionally,No,None,2003,Deceased
+P100624,70,Male,Current,18,20,Medium,Silica,High,Yes,No,25.9,High,None,Average,South,High,Secondary,Poor,Regularly,Yes,None,2018,Alive
+P100625,58,Male,Never,45,15,Low,Silica,High,No,No,19.6,Moderate,High,Good,West,Middle,Primary,Poor,Occasionally,No,None,2013,Alive
+P100626,73,Female,Never,21,18,High,Silica,Low,No,No,22.7,Low,Moderate,Average,East,High,Tertiary,Poor,Occasionally,No,Stage III,2017,Alive
+P100627,69,Male,Never,12,28,Medium,Diesel Fumes,High,No,No,21.4,Low,Moderate,Good,North,Low,Secondary,Average,Regularly,No,Stage IV,2016,Alive
+P100628,51,Female,Former,20,17,High,Asbestos,Moderate,No,No,18.7,Low,Moderate,Average,West,Low,Primary,Good,Occasionally,No,None,2007,Alive
+P100629,50,Male,Former,0,15,High,Asbestos,Moderate,No,No,30.3,Moderate,Moderate,Good,North,Low,Primary,Poor,Regularly,No,None,2012,Alive
+P100630,71,Female,Current,18,0,Medium,Asbestos,High,No,No,25.5,Moderate,High,Average,South,Middle,Primary,Good,Regularly,No,None,2022,Alive
+P100631,80,Male,Current,32,1,Medium,Asbestos,Low,No,No,22.3,Low,High,Good,North,Low,Secondary,Good,Regularly,No,Stage II,2014,Alive
+P100632,87,Male,Former,3,14,Low,Asbestos,Moderate,No,No,24.7,Low,Moderate,Average,South,Low,Tertiary,Average,Regularly,No,Stage III,2010,Alive
+P100633,72,Female,Current,41,38,Low,None,Moderate,No,No,31.0,Low,Moderate,Poor,South,Middle,Tertiary,Good,Regularly,No,None,2015,Alive
+P100634,85,Male,Current,2,27,Medium,None,Moderate,Yes,Yes,30.1,Low,Moderate,Good,North,Low,Primary,Poor,Regularly,No,None,2017,Alive
+P100635,50,Female,Current,26,0,High,None,High,Yes,No,27.8,Low,Moderate,Poor,West,Middle,Secondary,Poor,Regularly,No,None,2011,Deceased
+P100636,60,Male,Former,40,4,Low,Silica,Low,No,No,21.7,Moderate,Moderate,Average,East,Low,Secondary,Average,Occasionally,No,None,2022,Alive
+P100637,25,Female,Never,34,21,Low,Silica,High,No,No,25.6,High,High,Good,North,Middle,Tertiary,Poor,Never,No,None,2011,Alive
+P100638,32,Male,Never,27,35,Medium,Asbestos,Low,Yes,No,19.5,High,Moderate,Average,East,Middle,Tertiary,Poor,Occasionally,No,None,2005,Alive
+P100639,76,Male,Current,5,12,Medium,Diesel Fumes,Low,Yes,No,24.6,High,Moderate,Average,North,Middle,Secondary,Average,Regularly,No,None,2023,Alive
+P100640,71,Female,Never,5,0,Medium,Asbestos,High,Yes,No,29.9,Moderate,None,Poor,East,Middle,Tertiary,Average,Regularly,No,None,2005,Alive
+P100641,80,Male,Former,43,15,Medium,None,Moderate,No,No,30.8,High,High,Good,North,High,Primary,Poor,Occasionally,No,Stage IV,2003,Alive
+P100642,38,Male,Former,22,21,Low,Asbestos,Low,Yes,No,21.8,High,Moderate,Average,East,Middle,Tertiary,Average,Never,Yes,None,2023,Deceased
+P100643,52,Male,Former,32,31,Low,Silica,High,Yes,No,29.2,High,High,Poor,East,Middle,Secondary,Average,Occasionally,No,None,2000,Deceased
+P100644,26,Male,Current,15,15,Low,Asbestos,Moderate,Yes,No,28.1,High,None,Poor,North,Middle,Primary,Poor,Occasionally,No,None,2016,Alive
+P100645,50,Male,Never,23,14,High,None,Low,No,No,23.8,Low,None,Poor,North,Middle,Secondary,Poor,Occasionally,No,None,2003,Alive
+P100646,38,Male,Former,4,11,Low,Asbestos,Low,Yes,No,28.7,Moderate,Moderate,Poor,South,Low,Tertiary,Average,Never,No,None,2016,Alive
+P100647,83,Female,Current,40,0,Low,Silica,Moderate,No,No,31.1,High,Moderate,Average,East,Low,Tertiary,Good,Regularly,No,None,2004,Alive
+P100648,80,Female,Current,41,16,Medium,Diesel Fumes,Low,Yes,No,29.3,Low,Moderate,Average,North,Middle,Primary,Good,Never,No,None,2024,Alive
+P100649,31,Female,Current,12,27,Low,None,High,Yes,No,19.7,High,Moderate,Average,West,Middle,Primary,Poor,Occasionally,No,None,2008,Alive
+P100650,27,Male,Current,46,6,Low,Asbestos,Low,No,No,23.6,High,None,Good,West,High,Primary,Poor,Occasionally,No,None,2024,Alive
+P100651,47,Female,Current,11,8,Low,Silica,Low,Yes,No,27.0,High,High,Good,South,Middle,Primary,Good,Never,No,None,2005,Deceased
+P100652,42,Male,Former,4,21,Medium,None,Moderate,Yes,No,21.0,High,Moderate,Poor,West,Middle,Tertiary,Average,Never,No,None,2011,Deceased
+P100653,62,Male,Never,36,25,Low,None,High,Yes,Yes,32.8,High,High,Average,North,Middle,Secondary,Good,Regularly,No,None,2016,Alive
+P100654,39,Male,Current,30,11,Low,Silica,Moderate,No,No,26.6,Low,Moderate,Poor,East,Low,Tertiary,Good,Regularly,No,None,2020,Alive
+P100655,88,Male,Current,27,6,High,Asbestos,High,No,No,22.7,High,Moderate,Average,North,Middle,Tertiary,Poor,Never,Yes,None,2009,Alive
+P100656,52,Female,Current,27,14,High,Asbestos,Moderate,No,No,22.4,Low,None,Good,West,Middle,Primary,Average,Regularly,Yes,None,2001,Deceased
+P100657,63,Male,Former,29,37,High,Asbestos,Low,Yes,No,21.5,High,Moderate,Poor,West,High,Primary,Good,Occasionally,No,Stage IV,2000,Alive
+P100658,81,Female,Former,17,20,High,None,High,No,No,28.5,Moderate,Moderate,Average,North,Low,Secondary,Average,Never,Yes,None,2012,Alive
+P100659,41,Male,Former,43,13,Medium,Diesel Fumes,High,Yes,No,29.1,Low,Moderate,Average,South,High,Secondary,Poor,Regularly,No,None,2020,Alive
+P100660,68,Female,Former,26,1,High,None,Low,Yes,Yes,21.7,High,None,Average,North,Middle,Tertiary,Good,Occasionally,No,None,2020,Alive
+P100661,49,Female,Never,34,7,Low,Asbestos,Moderate,Yes,No,32.3,Low,High,Poor,South,High,Secondary,Poor,Never,No,None,2000,Alive
+P100662,41,Female,Current,25,5,High,None,High,Yes,No,23.1,High,None,Good,West,Middle,Primary,Good,Regularly,No,None,2012,Alive
+P100663,37,Female,Never,38,36,Medium,Diesel Fumes,Low,Yes,No,21.0,High,Moderate,Average,East,Middle,Primary,Average,Occasionally,No,None,2022,Alive
+P100664,49,Female,Never,48,36,High,None,Low,Yes,No,27.4,Low,Moderate,Poor,East,Low,Primary,Poor,Never,No,None,2002,Alive
+P100665,34,Female,Former,17,32,High,Silica,High,Yes,No,19.0,High,Moderate,Average,North,High,Tertiary,Average,Regularly,No,None,2010,Alive
+P100666,42,Male,Current,32,5,Medium,Asbestos,High,Yes,No,18.2,High,High,Poor,South,Middle,Secondary,Good,Occasionally,No,None,2021,Alive
+P100667,58,Female,Former,24,25,Medium,Asbestos,High,No,No,20.2,High,High,Good,West,High,Primary,Poor,Occasionally,No,None,2015,Alive
+P100668,32,Male,Never,30,38,Medium,Asbestos,Low,No,No,21.1,High,Moderate,Average,East,Low,Tertiary,Average,Occasionally,Yes,Stage IV,2017,Alive
+P100669,64,Female,Former,36,36,Medium,None,Moderate,Yes,No,28.7,High,Moderate,Poor,North,Middle,Tertiary,Average,Occasionally,No,None,2024,Deceased
+P100670,66,Male,Former,1,13,Medium,None,Moderate,No,No,18.5,High,High,Average,North,Low,Tertiary,Good,Never,Yes,None,2001,Alive
+P100671,65,Female,Current,32,36,Medium,None,High,No,No,26.8,Low,None,Poor,West,High,Secondary,Poor,Occasionally,No,None,2017,Alive
+P100672,30,Female,Current,38,7,Low,Asbestos,Low,No,No,29.2,Moderate,None,Good,West,High,Secondary,Average,Never,No,None,2016,Alive
+P100673,76,Male,Former,42,38,High,None,Low,Yes,No,32.2,High,High,Good,North,High,Secondary,Poor,Never,No,Stage III,2000,Alive
+P100674,50,Female,Former,42,12,High,Asbestos,High,No,No,22.5,Low,High,Poor,North,Middle,Tertiary,Poor,Regularly,No,None,2003,Deceased
+P100675,88,Female,Current,31,12,Medium,None,Low,Yes,No,22.9,Moderate,Moderate,Good,North,Middle,Tertiary,Poor,Never,No,None,2022,Alive
+P100676,83,Female,Never,17,39,Medium,Asbestos,Low,No,Yes,35.2,Low,High,Average,South,Middle,Secondary,Poor,Occasionally,No,None,2019,Alive
+P100677,80,Male,Former,16,27,Low,Silica,Low,No,No,31.8,Moderate,High,Good,West,Low,Primary,Good,Never,No,None,2020,Alive
+P100678,83,Female,Former,33,17,Low,None,High,No,Yes,23.6,Moderate,Moderate,Average,North,High,Secondary,Average,Never,No,None,2005,Alive
+P100679,57,Male,Current,38,18,Medium,Asbestos,High,Yes,No,30.7,Moderate,High,Good,West,High,Tertiary,Poor,Regularly,Yes,None,2020,Alive
+P100680,77,Female,Never,6,37,Low,Silica,High,Yes,No,26.2,Low,Moderate,Good,North,High,Tertiary,Average,Never,No,None,2004,Alive
+P100681,46,Female,Former,41,31,Low,Silica,Moderate,Yes,No,25.1,Moderate,None,Average,North,Low,Tertiary,Average,Regularly,No,None,2019,Alive
+P100682,45,Male,Current,34,21,Medium,Diesel Fumes,Moderate,Yes,No,37.4,High,None,Good,North,Middle,Tertiary,Average,Never,No,None,2008,Alive
+P100683,28,Female,Former,29,1,Medium,None,High,Yes,No,30.4,High,None,Average,West,Low,Tertiary,Good,Regularly,No,Stage II,2020,Deceased
+P100684,86,Female,Never,11,12,Medium,Asbestos,Low,Yes,No,34.4,Moderate,Moderate,Average,North,High,Tertiary,Poor,Never,No,Stage III,2024,Alive
+P100685,86,Male,Current,34,22,Medium,Diesel Fumes,Low,Yes,No,19.7,Moderate,None,Good,North,High,Secondary,Poor,Occasionally,No,None,2003,Alive
+P100686,48,Female,Former,10,24,High,None,High,Yes,No,34.0,High,None,Good,West,Low,Tertiary,Average,Never,No,None,2024,Alive
+P100687,79,Male,Current,43,27,High,Silica,Low,Yes,No,24.2,Low,Moderate,Average,North,Middle,Tertiary,Average,Regularly,Yes,Stage III,2004,Alive
+P100688,33,Male,Never,3,10,Medium,None,Low,No,No,24.2,Low,Moderate,Poor,East,Middle,Tertiary,Good,Regularly,No,None,2007,Deceased
+P100689,27,Male,Former,24,32,Low,Asbestos,Moderate,No,Yes,26.9,High,None,Good,East,High,Tertiary,Good,Occasionally,No,None,2016,Alive
+P100690,55,Female,Former,47,23,Medium,Silica,Low,Yes,Yes,27.6,Low,None,Good,North,Low,Tertiary,Average,Occasionally,No,None,2014,Alive
+P100691,64,Male,Never,31,1,High,Diesel Fumes,Low,No,No,30.3,Low,None,Poor,South,Middle,Primary,Poor,Regularly,Yes,None,2019,Alive
+P100692,60,Male,Never,19,29,Low,None,High,No,No,29.4,Moderate,High,Poor,West,Low,Secondary,Good,Occasionally,No,Stage IV,2012,Deceased
+P100693,48,Female,Current,49,16,High,None,Moderate,Yes,No,21.7,Low,Moderate,Good,North,High,Secondary,Poor,Never,No,None,2014,Alive
+P100694,30,Male,Never,30,39,Medium,Diesel Fumes,Moderate,Yes,No,20.0,High,Moderate,Good,West,High,Primary,Good,Never,Yes,None,2003,Alive
+P100695,28,Female,Never,3,33,High,None,Low,No,No,24.0,Low,Moderate,Good,South,High,Primary,Poor,Occasionally,No,None,2017,Alive
+P100696,30,Female,Former,37,37,High,None,High,Yes,No,24.9,Moderate,Moderate,Poor,South,High,Tertiary,Average,Never,No,None,2018,Alive
+P100697,75,Female,Current,46,21,High,None,Moderate,No,No,25.4,High,None,Good,West,Middle,Secondary,Good,Never,Yes,None,2023,Alive
+P100698,86,Female,Never,0,4,Low,Silica,Moderate,Yes,No,31.8,High,Moderate,Poor,South,High,Secondary,Average,Occasionally,No,None,2007,Alive
+P100699,81,Male,Former,2,39,High,Silica,Low,No,No,25.9,High,High,Poor,South,Middle,Primary,Good,Regularly,Yes,None,2013,Alive
+P100700,32,Male,Never,36,15,Low,Asbestos,Moderate,Yes,No,38.2,Moderate,High,Average,West,Middle,Secondary,Average,Never,No,Stage III,2000,Alive
+P100701,50,Male,Never,21,12,Medium,None,High,No,No,32.2,High,None,Poor,South,Low,Secondary,Good,Occasionally,No,None,2001,Alive
+P100702,75,Male,Never,16,25,Medium,Asbestos,High,No,No,23.5,Moderate,None,Average,East,High,Tertiary,Good,Regularly,No,None,2019,Alive
+P100703,69,Male,Current,13,30,High,Silica,Moderate,No,No,16.1,Moderate,Moderate,Poor,North,Middle,Tertiary,Good,Never,No,None,2021,Alive
+P100704,68,Female,Never,40,38,Low,None,High,No,No,36.9,Low,None,Poor,East,Low,Tertiary,Poor,Never,No,None,2002,Alive
+P100705,29,Male,Never,34,22,Medium,Asbestos,High,Yes,Yes,23.6,High,None,Average,East,Low,Secondary,Poor,Occasionally,No,Stage I,2015,Alive
+P100706,50,Male,Former,12,11,Low,None,Low,No,Yes,29.6,Low,None,Average,North,High,Secondary,Good,Never,No,Stage I,2022,Alive
+P100707,43,Male,Current,34,13,Low,None,Moderate,Yes,No,21.7,Low,High,Average,East,High,Tertiary,Average,Regularly,Yes,Stage IV,2002,Alive
+P100708,44,Female,Never,42,17,High,Diesel Fumes,Moderate,No,Yes,33.0,Moderate,Moderate,Average,North,Low,Tertiary,Average,Occasionally,Yes,Stage I,2023,Alive
+P100709,36,Female,Former,1,26,High,Asbestos,Low,Yes,No,29.2,Low,None,Average,North,Middle,Secondary,Good,Occasionally,Yes,None,2005,Alive
+P100710,71,Male,Never,46,27,Low,Silica,Low,No,No,19.6,Low,Moderate,Average,West,High,Secondary,Poor,Occasionally,No,None,2007,Alive
+P100711,25,Female,Former,12,17,Low,Asbestos,Low,Yes,No,15.2,Low,Moderate,Average,North,Low,Primary,Poor,Occasionally,No,None,2022,Deceased
+P100712,38,Male,Former,15,15,High,Asbestos,Low,No,No,25.9,High,Moderate,Poor,North,Low,Tertiary,Poor,Regularly,No,None,2011,Alive
+P100713,88,Male,Former,17,15,Low,Asbestos,High,No,No,27.5,Low,High,Poor,South,Middle,Tertiary,Poor,Regularly,No,None,2004,Alive
+P100714,62,Female,Former,6,12,High,Diesel Fumes,High,Yes,No,28.8,Moderate,Moderate,Average,South,Middle,Tertiary,Average,Regularly,No,None,2004,Alive
+P100715,61,Female,Former,44,28,Low,None,Low,No,No,21.1,High,Moderate,Good,East,Low,Secondary,Good,Regularly,Yes,None,2002,Alive
+P100716,35,Male,Never,35,8,High,Silica,Moderate,No,No,21.8,Moderate,None,Average,North,Middle,Secondary,Good,Regularly,No,None,2003,Alive
+P100717,27,Male,Former,40,25,Low,Diesel Fumes,Moderate,No,No,15.6,High,None,Good,North,High,Primary,Good,Regularly,Yes,None,2023,Alive
+P100718,57,Female,Never,29,27,High,Silica,Moderate,No,No,22.2,High,High,Poor,West,Low,Primary,Average,Occasionally,Yes,None,2004,Alive
+P100719,30,Male,Current,41,12,Low,Diesel Fumes,Low,Yes,No,16.8,High,Moderate,Poor,North,Middle,Tertiary,Poor,Occasionally,No,None,2024,Deceased
+P100720,74,Female,Current,40,35,Medium,None,High,No,No,21.4,Moderate,High,Good,West,Middle,Primary,Poor,Occasionally,No,Stage II,2002,Alive
+P100721,34,Male,Current,6,8,Medium,Silica,High,Yes,No,26.6,Low,Moderate,Poor,North,Middle,Secondary,Average,Regularly,No,None,2009,Alive
+P100722,29,Female,Current,14,13,Low,Asbestos,High,Yes,No,26.6,High,High,Average,South,Middle,Primary,Average,Occasionally,Yes,Stage I,2018,Alive
+P100723,47,Male,Current,39,11,Medium,Diesel Fumes,High,Yes,No,21.6,Moderate,Moderate,Good,South,Low,Primary,Good,Regularly,No,None,2023,Alive
+P100724,34,Male,Current,18,31,Low,Silica,Moderate,Yes,No,26.4,High,None,Good,South,Middle,Secondary,Good,Occasionally,Yes,None,2007,Alive
+P100725,68,Female,Never,42,37,Low,None,Moderate,No,No,32.4,Low,High,Poor,East,High,Tertiary,Average,Regularly,No,None,2022,Alive
+P100726,26,Male,Current,36,2,Medium,Silica,High,No,No,23.6,High,None,Good,North,High,Tertiary,Average,Regularly,No,None,2005,Deceased
+P100727,37,Male,Former,1,15,Low,Diesel Fumes,Low,Yes,No,18.6,Moderate,Moderate,Good,South,Low,Primary,Average,Regularly,No,Stage III,2022,Alive
+P100728,64,Female,Former,41,19,High,None,High,No,No,28.9,High,High,Good,West,Low,Secondary,Poor,Never,No,None,2006,Alive
+P100729,26,Male,Current,47,31,Low,Asbestos,High,No,No,30.5,Moderate,None,Poor,South,High,Secondary,Good,Never,Yes,None,2005,Alive
+P100730,89,Male,Never,12,22,Low,Diesel Fumes,Low,Yes,No,21.5,Low,None,Good,North,High,Primary,Average,Regularly,No,None,2012,Alive
+P100731,87,Male,Former,39,16,Medium,Diesel Fumes,High,Yes,No,21.6,Low,None,Good,South,Low,Tertiary,Average,Occasionally,Yes,None,2012,Alive
+P100732,41,Female,Current,40,15,High,None,Moderate,Yes,No,15.1,High,Moderate,Average,North,High,Tertiary,Poor,Regularly,No,None,2024,Alive
+P100733,33,Female,Never,42,37,Low,Diesel Fumes,Low,No,No,22.7,Low,High,Average,North,High,Tertiary,Average,Regularly,Yes,None,2020,Alive
+P100734,39,Female,Former,42,7,Low,Silica,Low,Yes,No,20.4,Moderate,None,Good,South,Low,Secondary,Good,Never,No,None,2004,Alive
+P100735,48,Male,Current,30,18,Low,Asbestos,High,Yes,No,17.4,High,Moderate,Poor,West,Low,Secondary,Poor,Regularly,No,None,2005,Deceased
+P100736,62,Male,Current,15,29,Low,Silica,Moderate,No,No,23.2,Moderate,Moderate,Good,East,Middle,Secondary,Average,Never,No,None,2009,Deceased
+P100737,59,Male,Former,41,33,Low,None,Moderate,No,No,25.0,High,Moderate,Poor,North,Middle,Tertiary,Good,Occasionally,No,None,2019,Alive
+P100738,73,Male,Never,43,13,Low,Diesel Fumes,Moderate,No,No,24.1,Moderate,High,Average,East,High,Primary,Good,Occasionally,No,None,2009,Alive
+P100739,86,Female,Former,5,21,High,Asbestos,High,No,No,23.4,High,Moderate,Average,South,Low,Secondary,Poor,Occasionally,No,None,2024,Alive
+P100740,84,Male,Current,27,16,High,None,High,No,No,32.6,Moderate,Moderate,Good,North,Middle,Secondary,Good,Regularly,Yes,None,2015,Alive
+P100741,74,Male,Former,31,14,Low,Silica,Moderate,No,No,26.5,Moderate,High,Poor,North,High,Primary,Poor,Never,No,None,2017,Deceased
+P100742,33,Male,Former,43,31,Low,Diesel Fumes,High,No,No,28.3,High,High,Poor,South,High,Tertiary,Good,Regularly,Yes,None,2002,Alive
+P100743,58,Female,Never,9,12,Medium,Diesel Fumes,Moderate,No,No,34.1,Moderate,Moderate,Poor,East,High,Secondary,Average,Occasionally,No,None,2024,Alive
+P100744,59,Male,Never,49,20,High,None,High,Yes,No,29.9,Low,Moderate,Good,West,High,Tertiary,Poor,Regularly,No,Stage III,2000,Alive
+P100745,25,Male,Current,17,39,High,Silica,Low,No,No,23.6,Moderate,None,Poor,South,Low,Secondary,Good,Never,No,None,2020,Alive
+P100746,64,Male,Former,3,32,Low,Diesel Fumes,Low,Yes,Yes,15.7,High,High,Average,South,High,Secondary,Poor,Never,No,None,2002,Alive
+P100747,88,Male,Current,8,26,High,Silica,High,No,No,23.1,Low,High,Poor,West,Middle,Primary,Good,Occasionally,Yes,None,2018,Alive
+P100748,46,Male,Never,6,34,High,Asbestos,High,No,No,32.3,Low,None,Poor,West,Low,Primary,Poor,Occasionally,Yes,None,2000,Alive
+P100749,84,Female,Current,49,15,Medium,Diesel Fumes,Moderate,Yes,No,29.9,Moderate,Moderate,Good,West,High,Primary,Average,Occasionally,No,Stage IV,2007,Alive
+P100750,88,Male,Current,7,27,Medium,Asbestos,Low,No,No,23.2,Moderate,Moderate,Good,West,Middle,Primary,Poor,Regularly,No,Stage II,2018,Alive
+P100751,35,Male,Former,42,33,High,Diesel Fumes,Moderate,Yes,No,24.6,Moderate,Moderate,Good,South,Middle,Tertiary,Poor,Never,No,None,2003,Deceased
+P100752,38,Male,Never,6,0,High,None,High,No,Yes,25.6,Low,Moderate,Good,West,Low,Tertiary,Average,Regularly,Yes,Stage II,2015,Alive
+P100753,84,Male,Former,40,30,High,Diesel Fumes,Moderate,Yes,No,21.9,Low,None,Good,East,Low,Tertiary,Good,Occasionally,No,None,2004,Alive
+P100754,54,Male,Current,39,35,Low,Diesel Fumes,Moderate,Yes,No,22.2,Low,High,Poor,West,Low,Primary,Average,Never,No,Stage II,2004,Alive
+P100755,59,Male,Former,2,32,Medium,Silica,High,No,No,21.8,High,High,Poor,North,Middle,Secondary,Poor,Occasionally,Yes,None,2001,Alive
+P100756,61,Male,Current,16,32,Low,Silica,Low,Yes,No,27.5,High,Moderate,Good,North,Middle,Tertiary,Average,Never,No,None,2022,Alive
+P100757,29,Male,Current,1,38,Medium,Asbestos,Moderate,Yes,No,19.7,Moderate,None,Good,West,High,Primary,Average,Never,Yes,Stage III,2005,Alive
+P100758,50,Male,Current,14,17,Medium,Asbestos,High,No,No,32.2,High,Moderate,Poor,South,Low,Primary,Poor,Occasionally,Yes,None,2006,Alive
+P100759,86,Male,Current,45,22,Medium,Asbestos,Moderate,No,No,25.0,High,Moderate,Good,South,Low,Primary,Poor,Never,No,None,2014,Alive
+P100760,28,Female,Never,28,22,High,Diesel Fumes,High,Yes,No,19.5,Moderate,None,Average,East,Low,Tertiary,Average,Never,Yes,None,2009,Alive
+P100761,66,Female,Former,49,14,Medium,Diesel Fumes,High,No,No,30.1,Moderate,None,Poor,South,Low,Secondary,Poor,Occasionally,No,Stage III,2009,Alive
+P100762,42,Female,Never,47,25,Low,Asbestos,High,Yes,No,32.5,Low,High,Average,East,Middle,Tertiary,Good,Never,No,None,2018,Alive
+P100763,64,Female,Current,21,29,Medium,None,Low,Yes,No,40.7,Low,High,Poor,East,Low,Primary,Good,Occasionally,No,None,2023,Alive
+P100764,63,Male,Current,3,24,Low,None,Low,Yes,No,31.9,Moderate,Moderate,Poor,East,Middle,Primary,Good,Regularly,No,None,2015,Deceased
+P100765,38,Female,Current,5,15,Medium,Diesel Fumes,High,No,No,20.6,Moderate,Moderate,Poor,West,Middle,Primary,Good,Regularly,No,None,2021,Deceased
+P100766,56,Female,Former,37,38,Medium,None,Low,No,Yes,26.1,High,High,Poor,South,Low,Tertiary,Average,Occasionally,Yes,None,2022,Alive
+P100767,75,Male,Never,25,13,High,None,Moderate,Yes,No,37.6,High,None,Poor,North,Middle,Secondary,Average,Never,No,None,2008,Alive
+P100768,62,Female,Current,10,16,Low,Asbestos,Low,Yes,No,21.1,High,Moderate,Poor,East,Middle,Tertiary,Average,Regularly,No,None,2023,Alive
+P100769,47,Female,Former,25,11,Medium,None,Low,Yes,No,18.7,Moderate,Moderate,Poor,North,Low,Primary,Poor,Occasionally,No,None,2007,Alive
+P100770,87,Male,Never,16,28,Medium,None,Moderate,No,No,23.1,Moderate,None,Good,East,Low,Primary,Average,Occasionally,No,None,2018,Alive
+P100771,39,Male,Current,23,31,Low,Diesel Fumes,Moderate,Yes,No,19.9,Low,Moderate,Good,South,High,Primary,Average,Never,Yes,None,2000,Deceased
+P100772,49,Male,Never,27,23,Medium,Diesel Fumes,Moderate,No,No,22.0,High,None,Good,West,Middle,Tertiary,Poor,Never,No,None,2016,Alive
+P100773,41,Female,Former,34,12,High,Diesel Fumes,High,Yes,No,21.7,Low,High,Average,East,Middle,Tertiary,Poor,Never,Yes,Stage I,2017,Alive
+P100774,77,Female,Former,30,19,Low,None,Moderate,Yes,No,28.6,Moderate,High,Poor,East,High,Tertiary,Poor,Occasionally,Yes,None,2023,Alive
+P100775,75,Male,Never,12,14,High,Asbestos,Moderate,Yes,No,18.5,High,High,Good,North,High,Primary,Good,Regularly,No,None,2014,Alive
+P100776,63,Male,Current,34,3,Low,Silica,Moderate,Yes,No,25.7,Low,High,Good,West,Low,Tertiary,Average,Occasionally,No,None,2005,Deceased
+P100777,75,Female,Never,15,33,Low,Diesel Fumes,High,No,No,21.2,Moderate,High,Good,South,High,Secondary,Average,Never,No,None,2021,Alive
+P100778,30,Male,Never,14,27,Low,Diesel Fumes,Low,No,No,27.7,Low,Moderate,Poor,East,Low,Secondary,Average,Never,No,Stage II,2016,Alive
+P100779,31,Female,Never,42,1,Medium,Diesel Fumes,High,No,No,28.3,High,High,Poor,South,Low,Secondary,Poor,Occasionally,No,None,2017,Alive
+P100780,75,Male,Current,17,29,Low,Asbestos,Low,No,No,29.5,Low,Moderate,Average,West,Low,Tertiary,Average,Never,No,None,2020,Alive
+P100781,66,Male,Former,46,25,Low,Silica,Moderate,No,No,29.5,Low,Moderate,Average,North,Middle,Primary,Good,Never,No,Stage III,2018,Alive
+P100782,88,Female,Former,36,25,Low,Silica,High,Yes,No,21.9,Moderate,None,Poor,West,Middle,Primary,Average,Occasionally,No,Stage II,2001,Alive
+P100783,39,Male,Never,47,19,High,Diesel Fumes,High,No,No,25.0,High,Moderate,Average,West,Low,Primary,Average,Regularly,No,None,2024,Alive
+P100784,53,Male,Never,47,27,Low,None,Low,No,No,32.3,Low,Moderate,Good,West,High,Primary,Poor,Never,No,None,2006,Alive
+P100785,57,Male,Former,48,19,Medium,Diesel Fumes,High,No,No,27.2,Moderate,High,Average,West,Middle,Primary,Good,Regularly,No,None,2016,Deceased
+P100786,51,Female,Current,40,10,Low,Diesel Fumes,High,No,No,29.4,High,High,Good,South,Middle,Tertiary,Average,Regularly,Yes,None,2014,Alive
+P100787,60,Male,Current,26,9,Low,None,Low,Yes,No,18.9,Moderate,None,Average,South,High,Secondary,Poor,Regularly,Yes,None,2015,Deceased
+P100788,53,Male,Never,34,22,High,None,High,Yes,No,29.8,High,None,Good,North,Middle,Tertiary,Good,Regularly,No,None,2016,Alive
+P100789,62,Male,Former,44,36,Medium,Diesel Fumes,High,Yes,No,15.6,Moderate,Moderate,Average,East,High,Primary,Good,Never,No,None,2002,Alive
+P100790,81,Male,Current,34,18,Medium,Asbestos,Moderate,No,No,17.4,Moderate,None,Average,East,High,Tertiary,Poor,Never,Yes,None,2009,Alive
+P100791,51,Male,Former,27,17,Medium,Asbestos,Moderate,Yes,No,20.5,Moderate,High,Poor,West,Middle,Tertiary,Poor,Occasionally,No,None,2005,Alive
+P100792,79,Male,Current,38,26,Low,None,Moderate,Yes,No,27.1,Low,High,Poor,West,High,Tertiary,Poor,Never,No,Stage II,2001,Alive
+P100793,57,Female,Never,37,5,Low,Diesel Fumes,Moderate,No,No,28.0,Low,High,Good,South,High,Primary,Poor,Occasionally,No,Stage IV,2010,Alive
+P100794,34,Female,Current,8,9,Medium,Asbestos,Moderate,No,No,20.9,Moderate,Moderate,Poor,East,Low,Primary,Poor,Regularly,No,None,2007,Alive
+P100795,29,Male,Current,11,1,Medium,Diesel Fumes,High,No,No,15.4,High,Moderate,Good,North,Low,Primary,Poor,Occasionally,No,None,2013,Alive
+P100796,62,Female,Current,14,23,High,Diesel Fumes,High,Yes,No,29.8,Moderate,None,Poor,West,Middle,Tertiary,Average,Occasionally,No,Stage I,2011,Alive
+P100797,37,Female,Current,20,37,Medium,Diesel Fumes,Moderate,No,No,27.9,Low,High,Poor,South,High,Tertiary,Poor,Never,No,None,2019,Deceased
+P100798,55,Male,Former,34,27,Low,Asbestos,Low,Yes,No,27.1,High,Moderate,Good,West,Middle,Secondary,Poor,Occasionally,No,None,2023,Deceased
+P100799,71,Female,Current,41,27,Low,Silica,Moderate,Yes,No,34.6,Low,Moderate,Average,West,Middle,Secondary,Good,Regularly,No,None,2006,Alive
+P100800,76,Female,Never,32,38,Low,Diesel Fumes,High,Yes,No,25.8,Moderate,None,Good,South,Low,Primary,Good,Never,No,None,2017,Deceased
+P100801,80,Female,Former,18,1,High,Asbestos,Low,Yes,No,20.0,Low,High,Good,East,High,Secondary,Good,Never,No,None,2024,Alive
+P100802,39,Female,Current,22,4,Medium,Silica,Moderate,Yes,No,31.6,Low,High,Good,East,Middle,Primary,Poor,Never,Yes,None,2004,Alive
+P100803,53,Female,Current,12,10,Low,None,Low,No,No,23.0,Low,None,Poor,West,Middle,Primary,Poor,Regularly,No,Stage III,2005,Alive
+P100804,32,Female,Current,43,9,High,Asbestos,Moderate,Yes,No,24.5,Moderate,None,Poor,East,Low,Tertiary,Average,Occasionally,No,Stage I,2012,Alive
+P100805,29,Female,Never,0,1,High,Silica,High,Yes,No,22.3,Low,None,Poor,South,Low,Secondary,Average,Never,Yes,None,2001,Alive
+P100806,53,Female,Current,28,14,Low,Asbestos,Moderate,Yes,No,20.8,Moderate,None,Good,East,Low,Primary,Average,Occasionally,No,None,2018,Alive
+P100807,71,Male,Current,23,38,High,Silica,Low,Yes,No,22.9,Moderate,High,Average,West,Middle,Primary,Average,Regularly,Yes,None,2007,Alive
+P100808,69,Male,Never,15,36,High,Silica,High,Yes,Yes,32.6,Low,High,Average,West,High,Secondary,Poor,Regularly,No,None,2010,Alive
+P100809,26,Female,Former,24,6,Low,Asbestos,Moderate,No,No,19.7,High,None,Good,South,Low,Secondary,Good,Regularly,No,None,2020,Alive
+P100810,51,Female,Never,22,19,High,None,Moderate,Yes,No,30.3,Low,Moderate,Good,West,Low,Secondary,Poor,Never,No,Stage II,2015,Alive
+P100811,60,Male,Former,27,33,Low,Diesel Fumes,Moderate,Yes,No,15.8,Low,Moderate,Average,East,High,Secondary,Poor,Never,Yes,Stage I,2000,Alive
+P100812,60,Female,Current,46,34,Low,Silica,Moderate,Yes,No,33.0,Low,High,Poor,South,Middle,Secondary,Poor,Occasionally,No,None,2024,Alive
+P100813,50,Female,Current,15,33,High,Diesel Fumes,High,Yes,No,33.5,High,High,Good,West,Middle,Secondary,Poor,Occasionally,No,Stage I,2015,Alive
+P100814,67,Male,Current,42,21,Low,None,High,No,Yes,19.9,High,None,Average,South,High,Secondary,Good,Never,No,None,2011,Alive
+P100815,51,Male,Current,37,30,Low,Diesel Fumes,Moderate,Yes,No,25.4,Moderate,Moderate,Average,South,Low,Primary,Good,Regularly,Yes,Stage I,2016,Alive
+P100816,44,Male,Former,10,22,Medium,Diesel Fumes,High,Yes,No,28.2,High,High,Average,East,High,Tertiary,Average,Regularly,No,Stage IV,2008,Alive
+P100817,35,Female,Current,2,18,Low,Asbestos,Low,Yes,No,22.0,High,Moderate,Poor,East,Middle,Primary,Poor,Never,Yes,Stage I,2005,Deceased
+P100818,62,Female,Former,14,3,Medium,Asbestos,High,Yes,Yes,34.4,Low,None,Average,North,Middle,Primary,Average,Occasionally,No,None,2006,Alive
+P100819,30,Male,Current,0,23,Medium,None,Low,No,No,25.1,Moderate,High,Average,South,Low,Tertiary,Good,Regularly,No,Stage I,2012,Alive
+P100820,47,Male,Never,6,19,Medium,Asbestos,Low,No,No,22.4,Moderate,High,Average,East,Low,Tertiary,Good,Never,No,None,2016,Deceased
+P100821,71,Female,Current,0,38,Medium,Silica,High,No,No,25.4,High,Moderate,Good,West,High,Tertiary,Average,Occasionally,No,None,2009,Alive
+P100822,70,Male,Never,48,27,High,None,Moderate,Yes,No,21.3,High,Moderate,Good,North,Middle,Secondary,Good,Occasionally,No,None,2010,Alive
+P100823,36,Female,Former,31,38,High,Asbestos,High,No,No,25.1,Low,High,Good,North,Middle,Secondary,Good,Regularly,No,None,2013,Alive
+P100824,37,Female,Current,8,16,Low,Asbestos,Low,No,Yes,22.8,High,Moderate,Average,West,High,Secondary,Poor,Regularly,No,None,2016,Alive
+P100825,86,Male,Former,28,18,Low,None,Low,No,Yes,21.1,High,Moderate,Average,East,Low,Primary,Poor,Regularly,Yes,None,2015,Alive
+P100826,84,Male,Current,25,34,Low,Silica,High,No,No,29.0,Moderate,None,Poor,South,Middle,Tertiary,Good,Regularly,No,Stage III,2004,Alive
+P100827,67,Female,Former,22,31,High,None,Low,No,No,16.5,High,Moderate,Average,North,Middle,Tertiary,Good,Occasionally,No,Stage III,2017,Alive
+P100828,29,Male,Current,44,38,Medium,Asbestos,High,Yes,No,33.8,Low,High,Poor,West,Low,Primary,Average,Never,No,None,2010,Alive
+P100829,61,Male,Never,42,34,High,Asbestos,High,No,Yes,26.2,Moderate,None,Average,West,Middle,Secondary,Average,Occasionally,Yes,Stage III,2009,Alive
+P100830,55,Male,Never,28,29,High,None,Moderate,No,Yes,34.2,Moderate,High,Poor,West,Low,Tertiary,Good,Regularly,Yes,Stage I,2020,Alive
+P100831,33,Male,Never,37,16,Low,Silica,Low,No,No,29.8,High,None,Good,West,High,Primary,Poor,Never,No,None,2020,Alive
+P100832,75,Female,Former,32,28,Low,Silica,High,Yes,No,18.3,Low,None,Average,North,Low,Secondary,Poor,Occasionally,No,None,2021,Alive
+P100833,53,Female,Never,6,5,Low,Diesel Fumes,Low,Yes,No,25.4,Moderate,Moderate,Poor,South,Low,Primary,Average,Never,No,None,2024,Alive
+P100834,64,Female,Former,11,16,Medium,Silica,High,No,No,16.0,Low,Moderate,Good,East,High,Secondary,Poor,Occasionally,No,None,2005,Deceased
+P100835,65,Female,Former,30,16,Medium,None,High,Yes,No,20.5,Low,High,Good,West,Middle,Primary,Poor,Never,No,None,2009,Alive
+P100836,35,Male,Never,31,13,High,Silica,Moderate,Yes,Yes,24.3,High,Moderate,Average,West,Middle,Secondary,Average,Occasionally,No,None,2010,Alive
+P100837,47,Male,Former,19,23,Medium,Silica,High,No,No,21.5,Low,None,Poor,South,Low,Primary,Average,Occasionally,No,Stage I,2000,Alive
+P100838,25,Female,Current,16,36,Low,Diesel Fumes,Moderate,Yes,No,22.6,Moderate,Moderate,Poor,South,Low,Primary,Poor,Regularly,No,None,2004,Alive
+P100839,70,Female,Never,35,39,Medium,Silica,Low,No,Yes,21.7,High,High,Poor,East,High,Primary,Average,Occasionally,Yes,None,2001,Alive
+P100840,45,Male,Former,2,38,Medium,Diesel Fumes,Moderate,No,No,36.1,Moderate,None,Good,North,High,Primary,Good,Regularly,No,None,2010,Alive
+P100841,60,Female,Current,0,31,Medium,Diesel Fumes,Moderate,No,No,25.6,Low,High,Poor,South,Middle,Tertiary,Average,Occasionally,No,None,2013,Alive
+P100842,78,Female,Former,49,35,Medium,Silica,Low,Yes,No,28.1,Low,Moderate,Good,North,Middle,Tertiary,Good,Never,No,None,2023,Alive
+P100843,81,Male,Current,26,36,Low,Asbestos,Moderate,No,No,24.7,High,None,Poor,North,High,Tertiary,Good,Never,Yes,None,2012,Deceased
+P100844,25,Female,Former,46,13,Low,None,Moderate,No,No,26.7,High,High,Good,West,Low,Tertiary,Good,Regularly,No,Stage IV,2022,Deceased
+P100845,87,Male,Former,39,26,High,None,High,Yes,No,14.7,Moderate,Moderate,Average,North,High,Primary,Average,Occasionally,No,None,2010,Alive
+P100846,78,Male,Never,32,18,High,Silica,Moderate,No,No,33.4,Moderate,Moderate,Good,West,Middle,Tertiary,Average,Regularly,No,None,2005,Deceased
+P100847,79,Female,Current,19,30,High,None,High,Yes,No,21.4,Low,High,Poor,West,Low,Tertiary,Average,Never,No,None,2001,Deceased
+P100848,64,Male,Current,13,8,Medium,None,Moderate,Yes,Yes,30.7,High,None,Good,East,High,Primary,Good,Occasionally,Yes,None,2018,Alive
+P100849,39,Female,Never,35,37,Medium,Diesel Fumes,Low,No,No,30.9,Low,High,Poor,North,Middle,Tertiary,Average,Regularly,No,Stage I,2024,Alive
+P100850,45,Male,Former,4,16,Low,Asbestos,Low,Yes,No,16.0,Low,Moderate,Average,South,Low,Tertiary,Poor,Never,No,None,2008,Deceased
+P100851,71,Female,Current,22,18,High,None,Moderate,No,No,25.3,Moderate,High,Good,South,Low,Secondary,Poor,Never,Yes,Stage II,2022,Alive
+P100852,77,Female,Former,44,3,Low,Asbestos,High,Yes,No,27.0,Moderate,Moderate,Average,South,Low,Tertiary,Average,Occasionally,No,None,2017,Alive
+P100853,33,Female,Former,14,10,High,None,Moderate,Yes,No,25.5,Moderate,None,Good,East,Low,Secondary,Good,Occasionally,No,Stage II,2013,Alive
+P100854,76,Male,Current,5,21,High,Asbestos,High,Yes,No,25.0,High,High,Good,West,Low,Tertiary,Average,Occasionally,No,None,2012,Alive
+P100855,81,Male,Current,32,3,High,Asbestos,Moderate,Yes,No,22.8,Moderate,None,Average,West,High,Primary,Poor,Regularly,Yes,None,2011,Alive
+P100856,50,Female,Former,18,16,Medium,None,Low,No,No,21.4,High,High,Average,South,Low,Tertiary,Good,Regularly,No,None,2011,Alive
+P100857,65,Male,Current,12,7,High,Diesel Fumes,Low,No,No,30.3,Low,Moderate,Good,West,High,Primary,Average,Occasionally,No,None,2012,Alive
+P100858,59,Female,Current,28,33,High,Asbestos,High,Yes,No,27.0,High,None,Good,West,Low,Tertiary,Average,Occasionally,No,None,2006,Alive
+P100859,87,Female,Former,5,10,Medium,Asbestos,Moderate,No,No,25.9,Moderate,Moderate,Good,East,Middle,Tertiary,Good,Occasionally,No,None,2015,Alive
+P100860,49,Male,Former,14,30,High,None,High,No,No,17.0,High,High,Average,North,Low,Primary,Good,Never,No,None,2016,Alive
+P100861,62,Female,Former,15,10,Medium,Asbestos,Low,No,No,23.7,High,Moderate,Poor,North,High,Primary,Poor,Occasionally,No,None,2008,Alive
+P100862,26,Male,Current,23,37,Medium,Asbestos,High,No,No,24.7,Moderate,High,Average,East,Middle,Primary,Average,Regularly,No,None,2013,Alive
+P100863,31,Female,Current,22,20,Low,Diesel Fumes,Moderate,No,No,29.2,Moderate,None,Good,East,Middle,Primary,Poor,Never,No,None,2008,Alive
+P100864,58,Male,Never,47,29,Medium,Asbestos,High,No,No,16.3,Low,Moderate,Good,West,High,Secondary,Poor,Occasionally,No,None,2005,Alive
+P100865,41,Female,Current,9,9,Medium,Diesel Fumes,Moderate,No,No,19.5,High,Moderate,Average,East,Middle,Secondary,Good,Regularly,No,None,2000,Alive
+P100866,67,Female,Former,40,25,Medium,Asbestos,Moderate,Yes,No,34.0,Low,High,Good,West,High,Primary,Average,Never,Yes,None,2023,Alive
+P100867,83,Male,Never,40,26,High,Asbestos,Low,No,No,21.0,Low,High,Good,North,Low,Secondary,Poor,Never,No,None,2021,Alive
+P100868,75,Female,Former,48,7,Low,Diesel Fumes,Moderate,Yes,No,15.7,High,High,Good,East,Low,Tertiary,Poor,Regularly,No,None,2024,Deceased
+P100869,78,Female,Former,16,38,High,Diesel Fumes,Moderate,Yes,No,21.5,Low,None,Good,West,High,Tertiary,Good,Regularly,No,None,2024,Alive
+P100870,48,Male,Current,48,7,Medium,Silica,Moderate,Yes,No,21.0,High,Moderate,Good,North,Low,Tertiary,Average,Never,No,None,2022,Alive
+P100871,49,Female,Never,43,7,Medium,Asbestos,High,No,No,28.3,Low,High,Poor,North,Middle,Secondary,Average,Regularly,No,None,2019,Alive
+P100872,76,Male,Current,44,33,Low,Diesel Fumes,Low,No,Yes,28.2,Low,High,Average,South,Low,Secondary,Poor,Never,Yes,None,2000,Alive
+P100873,57,Female,Former,29,15,Low,Asbestos,High,Yes,No,20.2,High,Moderate,Average,North,Low,Tertiary,Good,Never,No,None,2018,Alive
+P100874,73,Male,Never,43,12,Medium,Asbestos,High,Yes,Yes,23.1,Moderate,None,Average,East,Middle,Primary,Average,Never,No,None,2021,Alive
+P100875,53,Female,Current,45,22,Medium,Asbestos,Low,No,Yes,27.7,High,Moderate,Poor,East,Middle,Tertiary,Average,Never,No,None,2014,Alive
+P100876,87,Female,Former,9,11,High,None,High,No,No,27.9,Moderate,High,Poor,West,Low,Secondary,Poor,Occasionally,No,Stage I,2016,Alive
+P100877,46,Female,Never,18,26,Medium,Silica,High,No,No,19.8,High,Moderate,Average,East,Low,Tertiary,Average,Regularly,Yes,Stage II,2019,Alive
+P100878,50,Male,Former,28,21,High,None,Moderate,Yes,No,20.4,High,High,Average,North,Low,Tertiary,Average,Occasionally,No,None,2023,Deceased
+P100879,52,Male,Current,1,31,Low,Silica,High,Yes,No,35.6,Moderate,High,Average,West,High,Secondary,Average,Occasionally,Yes,None,2007,Alive
+P100880,73,Male,Former,35,26,High,Asbestos,Low,No,No,23.7,Moderate,Moderate,Good,North,High,Secondary,Average,Occasionally,No,None,2021,Alive
+P100881,73,Male,Never,18,1,Medium,Asbestos,High,No,No,32.5,High,Moderate,Poor,South,Low,Secondary,Poor,Occasionally,No,None,2021,Alive
+P100882,44,Female,Never,6,32,High,Diesel Fumes,Moderate,Yes,No,26.1,High,None,Poor,West,Low,Secondary,Average,Never,No,None,2002,Deceased
+P100883,87,Female,Never,25,25,High,Silica,High,No,No,30.5,High,High,Good,South,Middle,Tertiary,Average,Never,No,None,2022,Alive
+P100884,85,Male,Current,14,27,Low,Silica,Low,No,No,28.1,Moderate,High,Poor,West,Low,Secondary,Good,Never,No,None,2011,Alive
+P100885,73,Male,Former,46,18,High,None,Moderate,Yes,No,25.9,High,High,Average,East,Low,Primary,Poor,Never,No,None,2023,Alive
+P100886,25,Male,Never,37,4,Medium,Silica,High,Yes,No,25.8,Moderate,High,Poor,North,High,Secondary,Average,Occasionally,No,None,2014,Alive
+P100887,37,Female,Never,2,32,High,Asbestos,Low,Yes,No,18.8,Low,High,Good,West,High,Secondary,Good,Never,No,None,2017,Alive
+P100888,75,Male,Former,37,19,High,Diesel Fumes,Low,Yes,No,24.2,Moderate,Moderate,Average,East,High,Tertiary,Poor,Occasionally,No,None,2012,Alive
+P100889,80,Male,Current,15,29,High,None,High,No,No,22.4,Low,High,Poor,East,Middle,Primary,Average,Never,Yes,None,2004,Alive
+P100890,86,Female,Former,1,7,Medium,Diesel Fumes,High,Yes,No,23.4,High,Moderate,Average,East,Low,Primary,Good,Regularly,No,None,2021,Alive
+P100891,56,Female,Current,30,37,High,Silica,Moderate,No,No,23.2,High,None,Poor,South,High,Primary,Poor,Regularly,No,None,2016,Alive
+P100892,54,Male,Former,27,16,Medium,Silica,High,No,No,25.8,Moderate,High,Average,East,Middle,Secondary,Average,Regularly,Yes,None,2020,Deceased
+P100893,53,Female,Never,6,0,High,None,Moderate,No,No,28.2,Low,None,Good,West,Low,Tertiary,Good,Regularly,Yes,Stage IV,2002,Deceased
+P100894,73,Male,Current,29,2,Low,Silica,High,Yes,No,24.3,High,Moderate,Good,South,Low,Tertiary,Poor,Never,Yes,None,2018,Alive
+P100895,69,Female,Former,42,25,Low,Diesel Fumes,Low,Yes,No,29.8,High,Moderate,Poor,North,Middle,Secondary,Good,Regularly,No,None,2005,Alive
+P100896,54,Male,Current,6,30,Low,Asbestos,Low,No,No,22.9,Low,None,Poor,East,Low,Primary,Good,Regularly,No,Stage III,2016,Alive
+P100897,40,Male,Current,35,7,Medium,None,Low,No,No,25.4,High,High,Average,West,Middle,Primary,Average,Occasionally,No,None,2004,Alive
+P100898,64,Male,Never,28,7,Medium,Silica,Low,Yes,No,37.6,High,Moderate,Good,West,Middle,Tertiary,Good,Regularly,No,None,2020,Alive
+P100899,43,Male,Never,23,34,Medium,Diesel Fumes,Moderate,No,No,19.0,Moderate,Moderate,Average,South,High,Secondary,Average,Never,No,None,2004,Alive
+P100900,42,Female,Current,38,38,High,Asbestos,Low,No,No,22.9,High,Moderate,Good,North,Middle,Primary,Average,Occasionally,No,None,2018,Alive
+P100901,25,Female,Never,3,27,Medium,Silica,Moderate,No,No,15.9,Low,Moderate,Average,South,High,Secondary,Good,Never,No,None,2021,Alive
+P100902,71,Female,Never,28,3,Medium,None,Moderate,No,No,26.1,High,Moderate,Average,East,Low,Tertiary,Good,Occasionally,No,None,2010,Alive
+P100903,62,Female,Never,43,15,Medium,Silica,Moderate,No,No,25.1,Moderate,Moderate,Average,North,High,Secondary,Good,Never,No,None,2000,Deceased
+P100904,75,Male,Never,4,12,Medium,Silica,High,No,No,25.6,High,None,Poor,North,Middle,Secondary,Good,Regularly,Yes,None,2012,Alive
+P100905,87,Male,Current,28,19,Low,Silica,Moderate,No,No,20.4,Low,High,Good,North,High,Secondary,Poor,Occasionally,No,None,2016,Alive
+P100906,28,Female,Never,29,4,High,Asbestos,High,No,No,21.2,High,High,Poor,South,Low,Secondary,Average,Regularly,No,Stage III,2010,Alive
+P100907,25,Female,Former,28,36,Low,Asbestos,Moderate,Yes,No,25.3,Low,High,Poor,West,High,Primary,Good,Never,No,Stage II,2017,Alive
+P100908,32,Female,Current,25,19,High,Silica,High,Yes,No,18.0,Moderate,High,Average,South,Low,Tertiary,Poor,Never,Yes,None,2003,Alive
+P100909,53,Female,Former,18,23,High,Silica,High,No,No,29.4,High,None,Good,West,Middle,Primary,Good,Occasionally,No,None,2024,Alive
+P100910,79,Female,Never,25,35,Low,None,Low,No,No,18.0,High,None,Poor,South,High,Primary,Poor,Never,No,Stage IV,2009,Alive
+P100911,27,Male,Current,36,33,Medium,Silica,Moderate,Yes,No,24.2,Moderate,High,Average,West,Low,Primary,Average,Never,No,None,2023,Alive
+P100912,56,Male,Never,26,33,Low,Diesel Fumes,High,Yes,No,22.8,Low,Moderate,Good,West,Low,Primary,Good,Occasionally,No,None,2010,Alive
+P100913,34,Male,Current,29,18,High,Diesel Fumes,Low,Yes,No,22.5,Low,High,Good,North,High,Tertiary,Poor,Regularly,No,None,2017,Alive
+P100914,58,Female,Current,29,16,High,None,Moderate,No,No,17.0,High,Moderate,Poor,West,High,Tertiary,Poor,Occasionally,No,None,2000,Alive
+P100915,79,Female,Former,2,4,Medium,Asbestos,Low,Yes,No,24.8,Low,Moderate,Average,East,High,Primary,Average,Never,No,None,2003,Alive
+P100916,56,Female,Former,42,24,Low,Silica,High,Yes,No,19.0,Low,None,Poor,East,High,Secondary,Good,Never,Yes,None,2004,Alive
+P100917,74,Female,Former,6,17,High,None,Low,No,No,25.7,High,Moderate,Good,West,High,Secondary,Good,Occasionally,Yes,None,2001,Alive
+P100918,31,Male,Former,48,7,Low,Asbestos,Low,Yes,No,21.2,Low,None,Poor,West,Low,Secondary,Average,Occasionally,No,None,2021,Alive
+P100919,32,Male,Current,8,26,Medium,None,Moderate,No,No,24.7,Low,High,Average,West,Middle,Secondary,Average,Regularly,No,Stage III,2023,Alive
+P100920,89,Female,Current,40,14,Medium,Asbestos,High,Yes,No,15.9,High,None,Good,West,Low,Secondary,Average,Never,No,None,2011,Deceased
+P100921,81,Male,Former,41,12,High,Silica,Moderate,Yes,No,29.6,High,Moderate,Average,North,High,Tertiary,Poor,Never,No,None,2010,Alive
+P100922,83,Male,Current,12,15,Medium,None,Moderate,Yes,No,30.5,Low,Moderate,Average,East,High,Secondary,Poor,Regularly,No,None,2020,Alive
+P100923,78,Female,Current,14,21,High,Silica,Low,Yes,No,22.2,High,Moderate,Good,North,Middle,Tertiary,Average,Occasionally,No,None,2015,Deceased
+P100924,75,Female,Current,4,19,High,None,High,Yes,No,39.0,Low,High,Average,East,High,Secondary,Good,Occasionally,No,None,2003,Alive
+P100925,32,Female,Former,28,12,Medium,Asbestos,Moderate,No,No,28.8,Low,None,Average,West,Middle,Secondary,Poor,Regularly,No,None,2006,Alive
+P100926,58,Female,Former,34,19,Medium,None,High,No,No,23.7,Low,High,Average,East,High,Primary,Average,Occasionally,No,None,2020,Deceased
+P100927,59,Female,Never,26,1,Low,Diesel Fumes,Moderate,Yes,No,22.5,Low,None,Good,East,Low,Primary,Poor,Regularly,No,None,2023,Alive
+P100928,56,Female,Current,26,34,Low,Diesel Fumes,Low,No,No,21.1,High,High,Average,South,Middle,Primary,Poor,Occasionally,No,None,2022,Alive
+P100929,70,Male,Never,7,18,High,None,Moderate,Yes,No,22.0,High,High,Poor,South,Low,Tertiary,Average,Occasionally,No,Stage I,2020,Alive
+P100930,40,Male,Former,31,36,Low,Diesel Fumes,Moderate,Yes,No,24.5,Moderate,Moderate,Poor,West,High,Tertiary,Good,Occasionally,No,None,2012,Deceased
+P100931,61,Female,Never,19,5,High,Silica,Moderate,Yes,No,24.8,High,High,Average,North,Low,Primary,Good,Regularly,Yes,None,2013,Alive
+P100932,78,Male,Never,9,13,Medium,Diesel Fumes,High,Yes,No,18.0,Moderate,High,Poor,South,Low,Primary,Poor,Regularly,No,None,2010,Alive
+P100933,38,Female,Former,12,3,Medium,Diesel Fumes,Low,Yes,No,31.8,Low,None,Poor,West,Low,Secondary,Good,Regularly,No,None,2007,Alive
+P100934,79,Female,Current,28,21,Low,Silica,High,No,No,28.9,High,High,Good,North,Middle,Tertiary,Good,Never,No,Stage I,2000,Alive
+P100935,72,Female,Never,34,38,High,Silica,Moderate,No,No,34.2,Low,Moderate,Average,South,Middle,Secondary,Average,Never,No,Stage I,2007,Alive
+P100936,31,Female,Former,7,35,High,Asbestos,Low,No,No,26.8,Moderate,High,Good,East,Middle,Secondary,Average,Regularly,No,None,2018,Alive
+P100937,31,Male,Never,28,33,Low,Silica,High,No,No,30.2,High,None,Average,South,Low,Primary,Average,Never,No,Stage II,2016,Alive
+P100938,57,Female,Never,30,26,High,None,Moderate,Yes,No,18.7,High,None,Poor,West,Low,Secondary,Good,Never,No,None,2008,Alive
+P100939,47,Male,Former,40,6,High,Diesel Fumes,Low,No,No,28.0,High,High,Good,South,High,Secondary,Good,Occasionally,No,None,2012,Alive
+P100940,43,Female,Former,29,2,Medium,Asbestos,Low,Yes,No,16.0,High,High,Good,South,Middle,Primary,Average,Occasionally,No,None,2021,Alive
+P100941,43,Female,Never,21,32,High,Silica,Moderate,Yes,No,20.1,Low,None,Poor,North,High,Primary,Good,Occasionally,No,None,2014,Alive
+P100942,60,Female,Former,20,1,High,Diesel Fumes,Low,No,No,37.5,High,Moderate,Poor,North,Low,Secondary,Average,Never,No,None,2012,Alive
+P100943,53,Male,Never,11,15,High,None,Low,No,No,23.3,Moderate,High,Average,East,Middle,Secondary,Poor,Never,No,Stage I,2007,Alive
+P100944,84,Female,Former,10,24,Low,None,High,Yes,No,24.9,High,Moderate,Average,West,High,Secondary,Poor,Regularly,Yes,None,2011,Alive
+P100945,26,Female,Current,1,14,Low,Asbestos,Low,Yes,No,28.5,Moderate,Moderate,Poor,East,Low,Tertiary,Good,Never,No,None,2010,Deceased
+P100946,25,Female,Current,49,23,Low,None,High,Yes,No,24.8,Moderate,High,Poor,East,Low,Secondary,Good,Never,No,Stage I,2019,Alive
+P100947,71,Male,Former,40,14,High,Diesel Fumes,High,No,No,19.9,Low,Moderate,Good,South,Low,Primary,Good,Regularly,Yes,None,2012,Deceased
+P100948,44,Male,Former,1,30,High,Silica,High,Yes,No,20.0,High,None,Good,East,Middle,Secondary,Good,Regularly,Yes,Stage IV,2015,Alive
+P100949,35,Male,Current,33,13,Low,None,High,Yes,No,29.0,Moderate,Moderate,Average,North,Middle,Tertiary,Poor,Regularly,No,None,2001,Alive
+P100950,26,Female,Never,2,13,Low,Silica,Low,Yes,Yes,26.5,High,None,Good,East,High,Secondary,Average,Occasionally,Yes,None,2005,Alive
+P100951,36,Male,Current,15,5,High,Diesel Fumes,Low,Yes,No,29.2,Low,High,Poor,West,Low,Tertiary,Poor,Regularly,No,Stage II,2015,Alive
+P100952,44,Female,Current,3,13,High,Diesel Fumes,High,No,No,27.9,Low,Moderate,Poor,East,Middle,Tertiary,Average,Occasionally,No,Stage II,2017,Alive
+P100953,29,Male,Never,22,16,Medium,Silica,Low,No,No,25.3,High,None,Poor,West,Middle,Primary,Good,Never,No,None,2016,Alive
+P100954,61,Male,Never,49,17,Low,Diesel Fumes,High,Yes,No,25.1,Moderate,None,Poor,West,Low,Secondary,Average,Never,No,None,2014,Alive
+P100955,62,Female,Current,19,19,High,Asbestos,High,No,No,25.5,Low,High,Average,East,Low,Tertiary,Average,Occasionally,No,None,2006,Alive
+P100956,33,Male,Former,24,16,Low,None,High,Yes,No,23.2,Moderate,Moderate,Poor,East,High,Secondary,Average,Occasionally,Yes,None,2013,Alive
+P100957,77,Female,Never,29,15,Low,Asbestos,Moderate,No,No,23.2,Moderate,None,Poor,East,High,Tertiary,Average,Occasionally,No,None,2006,Deceased
+P100958,68,Female,Never,17,39,Low,Asbestos,Low,No,No,27.5,High,None,Poor,West,High,Primary,Poor,Never,No,None,2005,Alive
+P100959,48,Male,Former,41,38,Medium,Asbestos,Low,No,No,32.2,Low,High,Poor,North,Middle,Primary,Good,Never,No,None,2011,Alive
+P100960,54,Female,Current,10,31,High,Silica,High,No,No,16.6,High,Moderate,Average,South,Middle,Secondary,Good,Regularly,No,Stage I,2001,Alive
+P100961,83,Female,Current,28,8,High,Silica,Low,Yes,No,36.9,High,Moderate,Average,East,Middle,Secondary,Average,Regularly,No,Stage IV,2020,Alive
+P100962,38,Male,Current,16,26,Low,Diesel Fumes,High,Yes,Yes,28.5,High,None,Good,South,Middle,Secondary,Good,Never,No,None,2000,Deceased
+P100963,33,Male,Never,25,32,High,Silica,Low,Yes,No,27.2,Moderate,Moderate,Average,East,Middle,Secondary,Poor,Regularly,No,None,2017,Deceased
+P100964,64,Female,Former,22,9,Medium,Diesel Fumes,High,No,No,20.0,High,Moderate,Average,West,Low,Secondary,Average,Regularly,No,None,2004,Deceased
+P100965,49,Male,Former,47,16,Low,Silica,High,No,No,21.4,Low,Moderate,Average,West,High,Tertiary,Good,Occasionally,No,None,2020,Alive
+P100966,46,Female,Former,19,35,Medium,Diesel Fumes,Moderate,Yes,No,28.1,Moderate,Moderate,Good,South,High,Secondary,Good,Never,No,None,2006,Alive
+P100967,28,Female,Never,44,16,Medium,None,High,No,No,26.3,High,Moderate,Poor,North,High,Tertiary,Average,Occasionally,No,None,2014,Alive
+P100968,50,Male,Current,1,17,High,Diesel Fumes,Moderate,No,No,18.5,Low,Moderate,Good,West,High,Tertiary,Poor,Never,No,None,2020,Alive
+P100969,82,Male,Current,23,22,High,None,Low,Yes,Yes,20.7,High,Moderate,Poor,South,Low,Tertiary,Average,Never,No,None,2005,Deceased
+P100970,53,Male,Former,30,33,Medium,Diesel Fumes,Low,No,Yes,21.3,High,None,Average,West,Middle,Secondary,Average,Occasionally,No,None,2001,Alive
+P100971,61,Male,Current,26,7,High,Silica,Moderate,Yes,No,20.9,High,None,Poor,East,Middle,Primary,Good,Never,Yes,None,2020,Alive
+P100972,42,Female,Never,1,12,Medium,Silica,Low,No,No,26.4,Moderate,Moderate,Good,South,Middle,Primary,Good,Occasionally,No,None,2023,Alive
+P100973,66,Female,Former,13,22,Medium,None,Moderate,Yes,No,19.9,High,Moderate,Poor,South,High,Secondary,Average,Occasionally,No,None,2016,Alive
+P100974,65,Male,Current,3,19,Low,Asbestos,Low,No,No,28.9,Low,High,Poor,East,High,Secondary,Average,Never,No,Stage II,2012,Alive
+P100975,62,Male,Former,48,21,Medium,Asbestos,Moderate,No,No,17.6,High,None,Average,South,Low,Secondary,Good,Never,Yes,None,2012,Alive
+P100976,58,Female,Current,12,22,Medium,Diesel Fumes,Moderate,No,No,29.9,High,High,Poor,East,Low,Tertiary,Average,Occasionally,No,None,2013,Alive
+P100977,41,Female,Current,35,34,High,Silica,High,No,No,40.3,Moderate,None,Poor,North,Middle,Primary,Poor,Regularly,No,None,2022,Alive
+P100978,61,Female,Former,34,2,Low,Asbestos,Low,No,No,28.9,High,High,Average,East,Middle,Primary,Average,Regularly,No,None,2007,Alive
+P100979,49,Female,Current,43,33,High,Silica,High,Yes,Yes,22.3,Low,High,Good,North,Middle,Primary,Poor,Never,No,None,2014,Alive
+P100980,51,Male,Never,7,32,Low,Silica,Moderate,No,No,22.5,Low,High,Average,South,Middle,Primary,Average,Never,No,None,2010,Alive
+P100981,81,Female,Former,1,16,High,Silica,High,Yes,No,19.4,High,None,Poor,East,Middle,Tertiary,Average,Regularly,No,None,2012,Alive
+P100982,55,Female,Former,5,18,Medium,Diesel Fumes,Moderate,Yes,No,30.4,Low,None,Average,South,Middle,Secondary,Average,Never,No,None,2020,Alive
+P100983,30,Male,Former,30,29,Low,None,Low,Yes,No,25.8,Low,Moderate,Average,North,High,Tertiary,Good,Never,No,None,2019,Deceased
+P100984,64,Female,Current,9,22,Low,Diesel Fumes,Low,No,No,16.0,High,None,Poor,West,Low,Secondary,Good,Regularly,Yes,Stage I,2000,Alive
+P100985,36,Female,Former,43,14,Low,Asbestos,Low,Yes,No,17.7,Low,None,Good,West,Low,Secondary,Good,Never,No,None,2024,Alive
+P100986,77,Male,Current,20,13,Low,None,Moderate,No,No,16.2,Low,None,Average,West,High,Primary,Good,Regularly,Yes,None,2001,Deceased
+P100987,34,Male,Former,41,1,High,Asbestos,High,No,No,28.8,High,None,Good,West,Middle,Primary,Good,Regularly,Yes,Stage I,2010,Deceased
+P100988,69,Male,Former,9,38,High,None,Low,No,No,20.0,Moderate,Moderate,Average,West,Middle,Secondary,Good,Regularly,No,None,2013,Alive
+P100989,41,Female,Current,22,17,Low,None,Moderate,Yes,No,29.2,Moderate,Moderate,Poor,North,Middle,Secondary,Average,Never,No,None,2004,Alive
+P100990,50,Female,Never,2,5,Low,Diesel Fumes,High,No,Yes,22.2,High,None,Poor,West,Low,Primary,Poor,Occasionally,No,None,2006,Alive
+P100991,86,Male,Never,31,31,Low,Silica,Moderate,No,No,29.0,Moderate,High,Average,West,Low,Primary,Good,Occasionally,No,None,2023,Alive
+P100992,70,Male,Former,19,20,High,Silica,Moderate,No,No,23.7,Moderate,High,Average,South,Middle,Primary,Good,Occasionally,No,None,2015,Alive
+P100993,88,Female,Never,9,39,Low,None,Low,Yes,No,29.7,Moderate,None,Average,East,Middle,Primary,Average,Never,Yes,None,2010,Deceased
+P100994,26,Male,Never,28,27,Low,Diesel Fumes,Moderate,Yes,No,21.0,Moderate,Moderate,Poor,East,High,Primary,Good,Never,Yes,None,2014,Alive
+P100995,78,Male,Current,40,26,Low,Asbestos,Moderate,Yes,No,21.3,High,High,Average,East,Middle,Tertiary,Average,Never,No,None,2003,Deceased
+P100996,89,Male,Former,45,1,High,Asbestos,High,Yes,No,22.7,Moderate,Moderate,Poor,East,High,Tertiary,Good,Never,No,None,2009,Alive
+P100997,75,Female,Former,33,32,Medium,Silica,Low,No,No,29.2,Moderate,Moderate,Average,North,Middle,Tertiary,Poor,Occasionally,Yes,None,2000,Alive
+P100998,77,Female,Current,36,15,Medium,Silica,Moderate,Yes,No,19.6,High,High,Poor,East,Middle,Primary,Good,Regularly,No,None,2006,Alive
+P100999,60,Female,Former,19,38,High,Asbestos,Moderate,No,No,22.1,High,None,Average,South,Middle,Secondary,Good,Never,Yes,None,2011,Deceased
+P101000,50,Female,Current,7,21,Medium,Asbestos,High,Yes,No,23.8,Moderate,Moderate,Good,North,High,Secondary,Average,Never,No,Stage III,2010,Alive
+P101001,53,Female,Never,6,12,Low,Diesel Fumes,Moderate,No,No,27.0,Low,High,Good,West,High,Primary,Good,Never,No,None,2010,Alive
+P101002,45,Female,Former,5,1,Low,Asbestos,Moderate,Yes,No,23.0,High,Moderate,Poor,South,High,Tertiary,Average,Regularly,Yes,Stage II,2024,Alive
+P101003,35,Male,Current,10,13,High,Diesel Fumes,Moderate,Yes,No,27.9,High,High,Average,South,Low,Secondary,Poor,Occasionally,No,None,2016,Alive
+P101004,64,Female,Former,43,37,High,Silica,Moderate,Yes,No,21.3,Moderate,None,Good,West,Low,Primary,Good,Never,No,None,2000,Alive
+P101005,35,Female,Current,17,27,Medium,Asbestos,Moderate,No,No,29.9,Low,None,Average,West,Middle,Tertiary,Average,Occasionally,No,None,2014,Alive
+P101006,60,Male,Former,41,6,Medium,Silica,High,No,No,28.8,High,None,Average,South,High,Tertiary,Poor,Never,No,None,2022,Alive
+P101007,83,Female,Never,28,17,Low,None,Moderate,Yes,No,22.1,High,Moderate,Average,North,High,Tertiary,Poor,Occasionally,Yes,Stage III,2024,Alive
+P101008,63,Female,Former,24,35,High,None,Moderate,Yes,No,28.6,High,None,Good,West,Middle,Tertiary,Average,Never,No,Stage IV,2020,Deceased
+P101009,78,Male,Former,20,35,Medium,None,Moderate,Yes,No,19.5,Low,None,Poor,East,Middle,Tertiary,Average,Occasionally,No,None,2019,Alive
+P101010,79,Male,Current,45,3,Medium,Asbestos,Moderate,Yes,No,25.8,High,None,Good,South,Middle,Tertiary,Good,Never,No,None,2021,Alive
+P101011,48,Male,Never,2,29,Low,Silica,Low,Yes,No,21.1,High,None,Poor,South,Middle,Tertiary,Poor,Never,No,None,2024,Alive
+P101012,46,Female,Current,17,23,Low,Asbestos,Low,Yes,No,26.6,Low,High,Good,West,High,Tertiary,Poor,Occasionally,No,None,2017,Deceased
+P101013,80,Male,Current,23,19,Low,Silica,Low,No,No,24.2,High,High,Average,West,Low,Tertiary,Average,Occasionally,No,Stage IV,2020,Alive
+P101014,57,Female,Never,46,30,Low,Diesel Fumes,Low,No,No,21.2,Low,Moderate,Average,East,High,Tertiary,Poor,Regularly,Yes,Stage IV,2003,Alive
+P101015,60,Female,Former,37,23,Medium,Asbestos,High,No,No,17.1,Low,High,Average,East,Low,Primary,Average,Regularly,Yes,None,2018,Alive
+P101016,44,Female,Current,9,6,High,None,Low,No,No,23.9,Low,High,Good,East,Middle,Secondary,Good,Regularly,No,None,2004,Alive
+P101017,86,Female,Current,26,25,High,Diesel Fumes,High,No,No,31.0,Moderate,High,Good,East,Low,Primary,Average,Regularly,No,None,2013,Alive
+P101018,50,Male,Former,11,12,Low,Silica,Low,No,No,26.4,High,High,Poor,South,High,Secondary,Good,Occasionally,Yes,None,2022,Alive
+P101019,64,Male,Former,6,7,Low,Asbestos,High,Yes,No,17.2,High,High,Good,West,High,Primary,Average,Regularly,No,Stage III,2012,Alive
+P101020,41,Female,Former,16,4,Medium,Silica,Low,Yes,No,23.8,High,None,Poor,North,High,Secondary,Good,Never,No,Stage I,2018,Alive
+P101021,25,Male,Current,0,12,Low,Silica,Moderate,Yes,No,30.9,Low,Moderate,Good,West,High,Secondary,Poor,Occasionally,No,None,2018,Alive
+P101022,85,Female,Never,49,28,High,Asbestos,Low,Yes,No,23.5,Moderate,High,Average,West,High,Secondary,Average,Never,No,None,2015,Alive
+P101023,67,Female,Current,25,19,Low,Asbestos,Low,Yes,No,20.1,Low,High,Good,East,High,Primary,Average,Regularly,No,Stage IV,2021,Alive
+P101024,66,Female,Never,14,13,High,Silica,Low,No,No,33.7,High,Moderate,Average,East,Middle,Secondary,Average,Regularly,Yes,None,2020,Alive
+P101025,49,Male,Never,32,31,Low,Silica,Moderate,No,No,19.6,Low,High,Good,South,Low,Tertiary,Good,Regularly,No,None,2018,Deceased
+P101026,63,Female,Former,36,26,Low,Diesel Fumes,High,No,No,23.9,Moderate,High,Poor,East,Middle,Secondary,Average,Occasionally,Yes,None,2000,Alive
+P101027,59,Female,Former,46,24,High,None,High,No,No,21.9,High,Moderate,Good,South,Low,Primary,Average,Never,Yes,None,2009,Alive
+P101028,27,Male,Former,30,3,Medium,Silica,Moderate,No,No,28.3,Low,None,Average,West,Low,Primary,Poor,Never,Yes,None,2001,Alive
+P101029,68,Male,Former,34,20,Medium,None,Low,Yes,No,27.4,Moderate,None,Good,West,Low,Tertiary,Average,Occasionally,No,None,2014,Alive
+P101030,75,Male,Former,0,17,Low,Diesel Fumes,Low,No,No,20.5,Low,Moderate,Poor,West,High,Secondary,Average,Regularly,No,None,2018,Alive
+P101031,36,Male,Never,7,38,Low,None,Low,No,No,21.5,Low,None,Poor,South,High,Primary,Average,Regularly,Yes,None,2003,Alive
+P101032,43,Female,Former,11,14,High,None,High,No,No,25.7,High,None,Poor,South,High,Secondary,Average,Occasionally,No,None,2020,Alive
+P101033,68,Male,Current,18,37,High,Diesel Fumes,High,Yes,No,26.1,Moderate,None,Poor,South,Low,Tertiary,Poor,Never,No,None,2024,Alive
+P101034,83,Female,Former,24,23,Low,Silica,Moderate,Yes,No,23.9,Low,None,Good,East,Low,Tertiary,Average,Never,Yes,None,2003,Alive
+P101035,73,Male,Former,31,7,High,None,Moderate,Yes,Yes,23.5,Moderate,High,Poor,North,Low,Primary,Average,Never,Yes,None,2011,Alive
+P101036,85,Male,Former,11,27,Medium,Silica,High,Yes,No,18.9,High,Moderate,Good,East,Middle,Secondary,Poor,Never,No,None,2024,Alive
+P101037,41,Male,Current,12,20,Medium,Silica,Low,Yes,No,34.3,High,None,Good,North,High,Tertiary,Good,Regularly,No,Stage II,2020,Alive
+P101038,81,Male,Never,27,15,High,Asbestos,Low,Yes,No,28.2,High,None,Good,East,High,Tertiary,Good,Regularly,No,None,2018,Alive
+P101039,79,Male,Current,0,15,High,Silica,Low,No,No,25.0,Moderate,Moderate,Poor,West,High,Primary,Poor,Occasionally,No,None,2022,Alive
+P101040,71,Male,Current,5,34,High,Silica,Low,No,Yes,29.9,Moderate,High,Poor,South,Middle,Tertiary,Poor,Occasionally,Yes,None,2023,Alive
+P101041,36,Female,Current,7,16,Medium,None,Moderate,No,No,24.0,Low,None,Good,East,Middle,Primary,Good,Occasionally,No,None,2008,Alive
+P101042,86,Male,Never,3,8,Low,Silica,Moderate,Yes,Yes,20.9,Moderate,None,Good,South,Middle,Tertiary,Average,Regularly,No,None,2024,Alive
+P101043,32,Male,Current,4,34,High,Silica,High,Yes,No,26.7,High,High,Good,East,Low,Tertiary,Good,Regularly,No,Stage III,2021,Alive
+P101044,45,Male,Never,24,28,High,Asbestos,Moderate,Yes,No,25.7,Low,Moderate,Average,West,Middle,Primary,Average,Regularly,No,None,2015,Deceased
+P101045,49,Male,Former,21,38,High,Asbestos,Low,Yes,No,33.4,Moderate,None,Average,South,Low,Primary,Poor,Occasionally,No,Stage II,2014,Alive
+P101046,36,Female,Current,27,17,Low,None,High,No,Yes,21.3,High,None,Poor,West,Low,Secondary,Poor,Regularly,No,Stage IV,2008,Alive
+P101047,39,Male,Never,38,11,High,None,Moderate,Yes,No,20.2,High,Moderate,Average,North,High,Tertiary,Poor,Never,Yes,None,2018,Alive
+P101048,83,Male,Current,22,18,High,Asbestos,Moderate,Yes,No,35.5,Low,High,Good,South,High,Secondary,Good,Regularly,No,None,2017,Deceased
+P101049,50,Male,Never,3,21,Medium,Asbestos,Moderate,Yes,No,30.9,High,Moderate,Good,East,Middle,Secondary,Poor,Never,No,None,2020,Alive
+P101050,50,Male,Current,3,14,High,Diesel Fumes,Moderate,Yes,No,28.2,Moderate,None,Poor,South,Low,Primary,Good,Never,No,None,2006,Alive
+P101051,71,Female,Former,46,0,Medium,Silica,Moderate,Yes,No,21.6,High,High,Poor,North,Low,Tertiary,Average,Never,No,None,2015,Alive
+P101052,56,Male,Never,20,1,Low,None,Low,No,No,27.1,Low,High,Average,North,Low,Primary,Average,Regularly,Yes,Stage III,2014,Alive
+P101053,34,Female,Never,36,7,High,None,Low,Yes,No,18.5,High,High,Good,East,High,Tertiary,Average,Occasionally,No,Stage IV,2022,Deceased
+P101054,40,Male,Current,40,21,High,Silica,Low,Yes,No,22.4,High,Moderate,Poor,West,High,Primary,Poor,Never,No,None,2010,Alive
+P101055,41,Female,Never,1,24,Medium,Silica,Moderate,No,No,19.2,Moderate,Moderate,Poor,South,High,Tertiary,Average,Never,Yes,None,2005,Alive
+P101056,47,Female,Never,6,1,Low,None,High,Yes,No,21.2,Moderate,Moderate,Average,West,High,Secondary,Poor,Regularly,No,None,2002,Alive
+P101057,50,Male,Former,48,8,Low,Asbestos,Low,Yes,No,19.0,Moderate,None,Poor,West,High,Tertiary,Good,Regularly,Yes,None,2013,Alive
+P101058,31,Male,Current,15,8,Medium,Asbestos,Low,No,No,28.5,Moderate,Moderate,Average,East,High,Tertiary,Poor,Never,No,None,2005,Alive
+P101059,38,Female,Former,16,12,Low,Silica,Moderate,No,Yes,33.9,High,High,Good,South,Middle,Primary,Average,Occasionally,No,None,2016,Alive
+P101060,31,Female,Never,19,5,Low,None,High,No,No,29.9,Moderate,None,Average,North,Middle,Tertiary,Poor,Regularly,No,None,2018,Alive
+P101061,33,Male,Never,22,29,Low,Silica,Low,No,No,28.7,High,None,Poor,East,Middle,Tertiary,Poor,Never,No,None,2017,Alive
+P101062,72,Female,Never,33,14,Low,Asbestos,Low,No,Yes,23.3,Moderate,None,Average,West,Middle,Tertiary,Good,Occasionally,No,None,2019,Alive
+P101063,83,Female,Never,10,14,Low,Diesel Fumes,High,No,No,26.0,Moderate,High,Average,North,Low,Tertiary,Poor,Regularly,No,None,2015,Alive
+P101064,63,Female,Former,33,6,Low,Diesel Fumes,Moderate,No,No,19.6,Moderate,Moderate,Good,West,High,Secondary,Average,Occasionally,No,None,2023,Alive
+P101065,42,Male,Current,32,10,Low,Asbestos,High,No,No,18.5,High,High,Average,South,High,Primary,Poor,Never,No,Stage III,2002,Alive
+P101066,83,Female,Never,25,39,Low,Silica,Moderate,No,No,17.7,Moderate,Moderate,Poor,West,Middle,Tertiary,Poor,Occasionally,Yes,Stage II,2005,Alive
+P101067,41,Female,Former,1,37,High,Diesel Fumes,Low,No,No,18.9,High,None,Poor,North,Low,Primary,Average,Never,No,None,2016,Alive
+P101068,38,Female,Former,22,39,Medium,Asbestos,High,Yes,No,28.4,Moderate,None,Good,South,Middle,Secondary,Poor,Regularly,No,None,2019,Alive
+P101069,55,Male,Current,40,1,Low,None,High,No,No,29.0,Moderate,High,Good,East,High,Secondary,Good,Never,No,None,2004,Alive
+P101070,48,Male,Current,21,38,Medium,Silica,Low,No,No,20.5,Low,Moderate,Good,West,Middle,Tertiary,Average,Never,No,None,2020,Alive
+P101071,84,Female,Current,33,9,Low,Silica,Low,No,No,26.5,Moderate,None,Poor,South,Low,Primary,Average,Regularly,Yes,None,2015,Alive
+P101072,69,Male,Never,14,16,Low,Diesel Fumes,Moderate,No,No,30.7,High,High,Average,South,High,Primary,Poor,Never,No,None,2016,Alive
+P101073,27,Female,Never,9,6,High,Silica,Low,No,No,24.2,Low,High,Poor,East,Low,Primary,Good,Occasionally,No,Stage IV,2015,Alive
+P101074,61,Male,Former,14,39,Medium,Diesel Fumes,Low,Yes,No,21.3,High,Moderate,Poor,East,Middle,Secondary,Good,Regularly,No,None,2024,Alive
+P101075,67,Male,Never,41,38,Medium,Diesel Fumes,High,Yes,No,22.9,High,Moderate,Good,North,High,Secondary,Average,Occasionally,Yes,None,2020,Alive
+P101076,64,Female,Former,28,3,High,Asbestos,Moderate,Yes,No,32.2,Low,Moderate,Good,South,Low,Tertiary,Average,Regularly,No,None,2008,Alive
+P101077,79,Male,Current,22,34,High,Diesel Fumes,Low,No,No,24.7,Moderate,None,Average,South,Low,Primary,Poor,Never,No,None,2006,Alive
+P101078,63,Male,Current,16,35,Medium,None,High,No,No,35.7,Low,High,Average,North,Low,Primary,Average,Occasionally,No,None,2004,Alive
+P101079,39,Male,Current,8,30,Low,Silica,Low,Yes,No,21.7,High,Moderate,Average,West,High,Secondary,Good,Regularly,No,None,2008,Alive
+P101080,28,Female,Former,49,24,Low,Diesel Fumes,Low,No,No,22.5,Moderate,High,Average,South,High,Tertiary,Poor,Occasionally,No,None,2020,Alive
+P101081,49,Male,Current,35,12,Medium,Silica,Low,No,No,18.0,Low,None,Poor,South,Middle,Tertiary,Poor,Regularly,No,Stage I,2009,Alive
+P101082,37,Male,Former,8,17,Low,Diesel Fumes,Low,Yes,No,30.4,High,None,Average,West,Middle,Tertiary,Good,Regularly,No,None,2024,Alive
+P101083,57,Female,Never,15,20,High,Asbestos,Moderate,No,No,25.5,Moderate,Moderate,Poor,East,High,Secondary,Good,Occasionally,No,None,2020,Alive
+P101084,40,Male,Current,35,0,High,None,High,No,No,20.5,High,None,Poor,East,Low,Primary,Average,Occasionally,No,Stage I,2000,Alive
+P101085,66,Male,Never,47,35,High,Silica,High,No,No,23.2,Moderate,High,Average,East,High,Tertiary,Good,Occasionally,No,None,2006,Alive
+P101086,79,Male,Former,32,7,Medium,Asbestos,Low,No,No,27.4,Moderate,High,Average,North,High,Tertiary,Poor,Occasionally,Yes,None,2020,Alive
+P101087,66,Male,Former,30,20,Medium,Silica,High,No,No,20.9,Low,None,Poor,West,High,Primary,Poor,Regularly,No,None,2004,Alive
+P101088,58,Male,Current,5,20,Medium,Asbestos,Low,No,No,26.7,Moderate,None,Good,East,High,Tertiary,Good,Occasionally,Yes,None,2005,Alive
+P101089,54,Female,Current,9,26,Low,None,High,No,No,29.5,High,None,Average,North,Middle,Secondary,Average,Occasionally,No,None,2005,Alive
+P101090,37,Female,Former,15,18,Medium,Diesel Fumes,Moderate,Yes,No,22.8,Moderate,High,Good,West,Middle,Tertiary,Poor,Occasionally,Yes,Stage I,2022,Alive
+P101091,37,Male,Current,3,22,Medium,Asbestos,Moderate,Yes,No,15.7,High,None,Poor,East,Low,Primary,Average,Occasionally,No,None,2014,Alive
+P101092,42,Male,Never,21,34,High,Silica,High,No,No,23.6,Moderate,Moderate,Good,South,High,Secondary,Good,Occasionally,No,Stage I,2007,Alive
+P101093,56,Male,Former,12,39,Low,Silica,Low,No,No,22.5,Moderate,Moderate,Poor,South,High,Tertiary,Average,Occasionally,Yes,None,2000,Alive
+P101094,63,Female,Current,15,4,Low,Asbestos,Low,Yes,Yes,18.8,Low,High,Good,East,Middle,Primary,Poor,Never,Yes,None,2009,Alive
+P101095,70,Female,Current,28,7,High,None,Low,Yes,No,27.9,Moderate,None,Good,East,Middle,Primary,Good,Never,Yes,None,2002,Alive
+P101096,53,Male,Current,5,10,Low,None,Low,Yes,No,28.1,Moderate,None,Good,North,High,Primary,Poor,Regularly,No,None,2021,Alive
+P101097,86,Male,Never,25,15,Medium,Diesel Fumes,Moderate,Yes,No,26.1,High,None,Poor,South,Middle,Primary,Poor,Occasionally,No,None,2015,Alive
+P101098,86,Female,Current,10,38,Low,Diesel Fumes,Low,Yes,No,22.8,High,Moderate,Poor,West,High,Tertiary,Good,Occasionally,No,Stage III,2000,Alive
+P101099,81,Male,Current,23,23,High,Silica,Low,Yes,No,25.7,High,Moderate,Poor,East,Low,Tertiary,Average,Regularly,No,None,2015,Alive
+P101100,40,Female,Current,28,20,Low,Silica,Low,Yes,No,21.7,Moderate,Moderate,Average,West,Low,Secondary,Good,Occasionally,Yes,None,2013,Deceased
+P101101,80,Female,Never,2,22,High,Diesel Fumes,Low,No,No,28.4,High,Moderate,Poor,East,Low,Secondary,Poor,Occasionally,No,Stage III,2004,Deceased
+P101102,34,Male,Current,9,37,Medium,Diesel Fumes,Moderate,Yes,Yes,22.8,High,Moderate,Average,South,High,Primary,Poor,Occasionally,Yes,None,2015,Alive
+P101103,54,Female,Former,0,7,Medium,Diesel Fumes,High,Yes,No,23.7,Moderate,High,Poor,East,Middle,Primary,Poor,Never,No,None,2020,Alive
+P101104,49,Male,Never,42,6,High,Asbestos,High,Yes,Yes,24.2,High,High,Average,West,Low,Secondary,Good,Occasionally,No,None,2024,Alive
+P101105,29,Male,Former,25,1,Medium,Diesel Fumes,Low,No,No,41.3,Low,None,Good,South,High,Tertiary,Good,Never,No,Stage III,2010,Deceased
+P101106,89,Male,Former,11,29,Medium,Asbestos,Low,No,No,19.9,Low,None,Good,East,Low,Tertiary,Good,Occasionally,No,None,2017,Alive
+P101107,73,Male,Former,13,12,Low,Asbestos,High,No,No,22.6,High,Moderate,Poor,South,Low,Tertiary,Good,Occasionally,No,Stage II,2006,Alive
+P101108,27,Male,Current,24,22,Medium,Diesel Fumes,Moderate,Yes,No,17.0,High,None,Average,North,Middle,Primary,Average,Regularly,No,None,2024,Alive
+P101109,69,Male,Former,7,28,High,None,Moderate,Yes,No,26.3,High,High,Good,West,High,Secondary,Poor,Regularly,No,None,2007,Alive
+P101110,38,Female,Current,42,37,Medium,None,Moderate,Yes,No,33.7,Moderate,High,Good,East,Middle,Secondary,Average,Occasionally,No,None,2016,Deceased
+P101111,54,Female,Former,3,36,Low,Silica,Moderate,No,No,23.9,Low,None,Average,East,Middle,Secondary,Poor,Occasionally,No,None,2013,Deceased
+P101112,42,Female,Never,27,19,High,Diesel Fumes,Moderate,No,No,21.8,Low,Moderate,Poor,East,Middle,Tertiary,Poor,Occasionally,No,None,2016,Alive
+P101113,86,Female,Never,6,32,Medium,Silica,Moderate,No,No,24.7,High,High,Good,West,Low,Secondary,Average,Never,Yes,None,2011,Alive
+P101114,61,Male,Former,9,28,Medium,Diesel Fumes,Moderate,No,Yes,30.2,High,None,Poor,North,Low,Secondary,Good,Occasionally,No,Stage II,2017,Alive
+P101115,49,Female,Former,35,14,Medium,Silica,Moderate,No,No,31.9,Moderate,Moderate,Poor,West,Low,Tertiary,Poor,Regularly,No,None,2000,Alive
+P101116,72,Female,Never,1,22,High,Asbestos,Moderate,No,No,19.8,Moderate,None,Average,East,High,Primary,Good,Never,No,Stage III,2023,Alive
+P101117,89,Female,Former,25,2,Low,Diesel Fumes,Low,Yes,No,28.3,Low,Moderate,Average,West,Middle,Primary,Average,Occasionally,No,None,2006,Alive
+P101118,77,Male,Former,49,36,High,None,Moderate,No,No,24.5,Moderate,Moderate,Good,East,Low,Tertiary,Poor,Never,Yes,None,2005,Alive
+P101119,39,Female,Never,13,28,High,Diesel Fumes,Low,No,No,32.2,Low,High,Average,West,Middle,Secondary,Good,Never,Yes,None,2014,Alive
+P101120,73,Male,Former,15,7,Low,Silica,High,No,No,36.5,High,High,Good,South,Middle,Primary,Average,Never,Yes,None,2017,Alive
+P101121,36,Female,Never,42,21,High,Silica,Low,No,No,34.1,High,None,Good,West,Middle,Primary,Poor,Never,No,None,2010,Alive
+P101122,83,Male,Current,41,28,High,Silica,High,Yes,No,20.1,Low,None,Good,East,Middle,Primary,Average,Occasionally,No,Stage I,2024,Alive
+P101123,61,Male,Current,16,1,Medium,Silica,Low,Yes,No,20.8,High,Moderate,Poor,East,Middle,Tertiary,Good,Regularly,No,None,2016,Alive
+P101124,85,Female,Current,45,0,High,Silica,High,No,No,33.5,Moderate,High,Poor,West,Low,Primary,Poor,Never,No,None,2000,Alive
+P101125,67,Male,Never,21,19,Medium,Silica,Low,Yes,No,24.5,High,Moderate,Average,West,High,Secondary,Poor,Regularly,No,Stage III,2001,Alive
+P101126,63,Male,Current,3,20,High,None,Low,Yes,No,21.2,High,Moderate,Average,South,High,Tertiary,Poor,Never,Yes,None,2006,Alive
+P101127,80,Female,Current,18,36,Medium,Silica,High,Yes,No,18.2,Low,Moderate,Good,North,High,Tertiary,Average,Regularly,Yes,None,2009,Deceased
+P101128,87,Female,Current,1,7,Medium,None,Moderate,Yes,No,25.7,Moderate,Moderate,Good,North,High,Primary,Average,Never,No,None,2013,Deceased
+P101129,70,Female,Never,38,26,Medium,Diesel Fumes,Moderate,Yes,Yes,22.9,Moderate,Moderate,Poor,South,Middle,Secondary,Average,Never,Yes,None,2011,Deceased
+P101130,35,Male,Current,8,34,Low,Asbestos,Moderate,Yes,No,27.0,High,Moderate,Poor,North,Low,Tertiary,Average,Occasionally,No,None,2016,Alive
+P101131,86,Male,Current,18,5,High,None,Moderate,Yes,No,26.0,High,None,Good,North,Low,Primary,Good,Occasionally,No,None,2013,Alive
+P101132,49,Male,Former,15,18,High,Diesel Fumes,Moderate,No,No,18.9,Moderate,High,Good,East,Middle,Secondary,Average,Never,No,Stage I,2018,Alive
+P101133,76,Female,Current,24,17,High,Asbestos,Low,Yes,No,20.9,Moderate,High,Average,East,Middle,Secondary,Average,Regularly,No,None,2009,Alive
+P101134,28,Male,Former,47,0,Low,None,Moderate,No,No,29.7,Low,Moderate,Good,East,Low,Tertiary,Average,Occasionally,Yes,None,2023,Deceased
+P101135,83,Male,Former,17,24,Medium,None,Low,Yes,No,30.2,High,Moderate,Good,West,Low,Primary,Good,Occasionally,No,None,2011,Alive
+P101136,44,Male,Never,22,26,High,Diesel Fumes,High,Yes,No,23.1,High,Moderate,Good,West,High,Secondary,Good,Occasionally,No,None,2006,Alive
+P101137,87,Male,Current,20,6,Low,Silica,Moderate,Yes,No,25.9,Moderate,High,Poor,North,High,Tertiary,Poor,Occasionally,No,Stage II,2007,Alive
+P101138,78,Male,Never,10,28,Low,None,Moderate,No,No,19.8,Low,High,Poor,West,High,Tertiary,Average,Never,No,None,2012,Alive
+P101139,81,Male,Former,38,30,High,None,Moderate,Yes,No,24.7,Moderate,Moderate,Average,East,Low,Tertiary,Poor,Regularly,Yes,None,2005,Deceased
+P101140,65,Male,Never,40,35,Medium,Diesel Fumes,Moderate,No,No,30.5,High,High,Average,West,High,Tertiary,Poor,Occasionally,No,None,2007,Alive
+P101141,27,Female,Former,3,18,Low,Silica,Low,Yes,No,33.3,High,Moderate,Average,North,Low,Tertiary,Good,Occasionally,No,None,2004,Alive
+P101142,30,Female,Never,24,5,High,Asbestos,Low,Yes,No,24.4,High,Moderate,Good,East,Low,Secondary,Good,Regularly,No,Stage IV,2008,Alive
+P101143,29,Female,Current,31,24,Medium,Silica,Low,No,No,23.4,High,Moderate,Good,North,Middle,Tertiary,Poor,Occasionally,No,None,2010,Alive
+P101144,29,Male,Current,29,30,Low,Silica,High,Yes,No,17.8,Low,None,Poor,West,Low,Primary,Poor,Regularly,No,None,2012,Alive
+P101145,78,Male,Never,44,8,Low,Diesel Fumes,Low,Yes,Yes,22.0,High,High,Good,South,Middle,Primary,Average,Never,No,None,2000,Deceased
+P101146,71,Female,Never,25,19,High,Silica,Moderate,Yes,Yes,24.7,Moderate,High,Good,South,Middle,Secondary,Good,Occasionally,No,None,2006,Alive
+P101147,73,Male,Never,35,9,High,Diesel Fumes,High,No,No,24.1,Low,High,Poor,East,Low,Tertiary,Good,Regularly,No,Stage I,2005,Alive
+P101148,33,Female,Current,33,36,Medium,Asbestos,High,Yes,No,22.2,Low,Moderate,Average,North,Low,Tertiary,Poor,Occasionally,No,None,2007,Alive
+P101149,44,Male,Former,8,26,High,None,Moderate,Yes,No,30.9,High,None,Good,South,High,Secondary,Good,Never,No,None,2001,Alive
+P101150,85,Male,Former,11,12,High,None,Moderate,Yes,No,27.1,Low,Moderate,Poor,South,Low,Tertiary,Poor,Regularly,No,Stage II,2016,Alive
+P101151,59,Female,Never,1,1,Medium,Diesel Fumes,Moderate,No,No,24.2,High,Moderate,Poor,East,High,Tertiary,Poor,Regularly,No,None,2016,Deceased
+P101152,74,Female,Current,37,20,High,Diesel Fumes,Moderate,Yes,No,28.4,Low,Moderate,Average,East,High,Primary,Good,Regularly,Yes,None,2017,Alive
+P101153,86,Female,Current,4,32,Medium,Silica,Low,No,No,24.9,Low,None,Poor,North,Low,Tertiary,Average,Occasionally,No,Stage IV,2020,Alive
+P101154,41,Female,Current,4,23,Medium,Silica,High,Yes,No,32.8,Moderate,Moderate,Average,South,High,Secondary,Good,Regularly,No,None,2006,Alive
+P101155,27,Female,Current,21,33,Medium,None,Moderate,Yes,No,21.0,Moderate,Moderate,Average,North,Middle,Primary,Poor,Regularly,Yes,None,2014,Alive
+P101156,56,Male,Never,4,8,High,None,Low,No,No,26.6,Moderate,None,Average,North,Middle,Secondary,Poor,Regularly,No,None,2012,Alive
+P101157,37,Male,Never,3,1,Medium,None,Moderate,No,No,14.4,Low,Moderate,Average,East,Low,Secondary,Average,Never,No,Stage II,2024,Deceased
+P101158,38,Male,Never,8,29,High,Diesel Fumes,Low,No,No,23.0,Moderate,Moderate,Average,North,Low,Tertiary,Poor,Regularly,No,None,2019,Alive
+P101159,35,Female,Never,28,21,Medium,Asbestos,Moderate,No,No,25.8,Moderate,High,Poor,West,Low,Tertiary,Average,Regularly,No,Stage II,2024,Alive
+P101160,80,Female,Never,21,10,High,Asbestos,Moderate,No,No,23.4,Moderate,None,Good,North,Middle,Primary,Good,Regularly,No,None,2013,Alive
+P101161,53,Female,Never,26,16,Medium,Diesel Fumes,Moderate,Yes,Yes,19.5,Low,High,Average,South,High,Secondary,Average,Never,Yes,None,2014,Deceased
+P101162,33,Female,Former,9,35,Low,Silica,Low,Yes,No,21.5,High,Moderate,Average,North,Middle,Secondary,Poor,Regularly,Yes,None,2002,Alive
+P101163,49,Female,Current,15,12,Low,Asbestos,Moderate,No,No,20.0,Moderate,None,Good,West,High,Tertiary,Poor,Occasionally,Yes,None,2005,Alive
+P101164,66,Female,Current,41,6,Low,Silica,Low,Yes,No,24.4,Low,None,Good,West,High,Secondary,Average,Regularly,No,None,2008,Deceased
+P101165,33,Male,Current,41,15,Medium,None,Low,Yes,No,28.9,Low,Moderate,Average,South,Low,Secondary,Good,Occasionally,No,None,2013,Alive
+P101166,64,Male,Current,9,32,High,None,High,No,No,23.3,High,High,Good,South,Low,Secondary,Average,Never,No,Stage II,2015,Alive
+P101167,49,Male,Never,5,0,Medium,Silica,Low,No,No,34.0,Moderate,Moderate,Average,North,Low,Secondary,Poor,Never,Yes,None,2016,Alive
+P101168,29,Male,Current,48,10,Medium,None,Low,No,No,26.1,Low,None,Poor,West,Middle,Secondary,Good,Regularly,No,None,2011,Alive
+P101169,35,Male,Never,4,5,Medium,Diesel Fumes,Low,Yes,Yes,14.8,Low,None,Good,West,Middle,Primary,Average,Regularly,No,Stage IV,2003,Alive
+P101170,83,Female,Current,5,19,Medium,Silica,Low,No,No,26.7,Low,Moderate,Good,North,Middle,Secondary,Average,Never,No,None,2004,Alive
+P101171,62,Female,Former,46,34,High,Silica,Low,Yes,No,24.7,High,Moderate,Poor,South,Low,Secondary,Average,Never,No,None,2010,Alive
+P101172,29,Female,Current,24,36,Medium,Silica,High,No,No,31.9,Moderate,Moderate,Good,West,Low,Primary,Poor,Never,Yes,None,2021,Deceased
+P101173,72,Female,Never,49,25,Low,Asbestos,Moderate,No,No,24.9,Low,Moderate,Poor,North,High,Tertiary,Poor,Occasionally,Yes,None,2010,Alive
+P101174,42,Female,Never,3,11,Low,Silica,High,No,No,23.7,Low,High,Average,South,High,Tertiary,Poor,Occasionally,No,None,2007,Alive
+P101175,61,Female,Current,39,29,Low,Silica,High,No,No,35.4,Low,High,Good,North,Low,Primary,Good,Regularly,No,Stage II,2017,Alive
+P101176,84,Male,Never,47,27,Medium,Silica,Moderate,Yes,No,14.5,Low,High,Good,South,Middle,Primary,Good,Occasionally,No,None,2005,Alive
+P101177,72,Female,Current,31,26,High,Asbestos,Low,Yes,No,23.3,Moderate,High,Poor,South,Low,Tertiary,Good,Never,No,None,2006,Alive
+P101178,52,Female,Current,34,18,High,None,Moderate,Yes,No,26.3,Moderate,None,Average,West,Middle,Secondary,Poor,Regularly,No,None,2005,Alive
+P101179,64,Female,Current,9,4,High,Asbestos,Low,No,No,23.0,Low,None,Average,East,Low,Secondary,Good,Occasionally,No,None,2013,Alive
+P101180,69,Female,Current,33,4,Medium,Diesel Fumes,Moderate,Yes,No,14.5,Low,High,Poor,West,Low,Primary,Good,Regularly,No,Stage II,2019,Alive
+P101181,86,Male,Current,35,26,High,Silica,High,Yes,No,27.0,Low,Moderate,Good,North,High,Secondary,Average,Occasionally,No,None,2005,Deceased
+P101182,82,Male,Never,5,27,Low,Diesel Fumes,Low,Yes,No,22.7,High,None,Good,South,Middle,Primary,Poor,Regularly,No,Stage IV,2003,Alive
+P101183,80,Female,Current,42,25,High,Asbestos,High,No,Yes,24.3,High,Moderate,Poor,West,Middle,Tertiary,Average,Never,No,Stage II,2024,Deceased
+P101184,64,Male,Current,45,26,Medium,None,Low,Yes,No,31.3,High,High,Poor,South,Low,Secondary,Poor,Never,No,None,2012,Alive
+P101185,64,Male,Current,15,20,Medium,None,Moderate,No,Yes,26.5,Low,None,Poor,West,High,Tertiary,Poor,Never,Yes,None,2016,Alive
+P101186,57,Female,Never,18,0,High,Silica,Moderate,No,No,21.9,High,None,Good,North,Low,Secondary,Good,Occasionally,No,None,2011,Alive
+P101187,30,Female,Current,33,27,Medium,None,Moderate,Yes,No,27.0,Moderate,None,Poor,North,Low,Secondary,Average,Regularly,No,None,2008,Alive
+P101188,43,Female,Current,24,14,High,Asbestos,Moderate,Yes,No,22.9,High,None,Average,North,Middle,Secondary,Average,Regularly,No,None,2019,Alive
+P101189,64,Female,Current,30,16,High,Asbestos,Moderate,No,No,23.5,Low,High,Poor,West,Low,Primary,Good,Regularly,No,Stage III,2002,Alive
+P101190,83,Female,Former,48,25,Low,None,High,No,No,28.8,Moderate,None,Average,East,High,Tertiary,Average,Occasionally,Yes,None,2010,Alive
+P101191,83,Male,Never,40,19,Medium,Silica,High,No,No,21.8,Low,High,Average,North,Low,Primary,Average,Never,Yes,None,2004,Alive
+P101192,72,Female,Former,16,24,Low,Silica,Low,Yes,No,27.8,Moderate,None,Poor,West,High,Primary,Poor,Never,No,None,2002,Alive
+P101193,65,Female,Current,46,12,Medium,Asbestos,High,No,No,23.8,High,High,Average,East,Middle,Tertiary,Average,Regularly,No,None,2016,Alive
+P101194,37,Female,Current,29,32,High,None,Low,No,No,22.5,High,High,Good,West,Middle,Tertiary,Average,Regularly,No,None,2023,Alive
+P101195,69,Male,Former,38,24,Medium,Asbestos,Low,No,No,22.5,Moderate,Moderate,Poor,West,Low,Primary,Poor,Occasionally,No,None,2008,Deceased
+P101196,77,Female,Never,30,7,High,Asbestos,High,Yes,No,21.9,Moderate,High,Good,North,High,Primary,Good,Regularly,No,None,2005,Alive
+P101197,66,Female,Former,18,4,Medium,Diesel Fumes,High,No,No,25.4,Low,Moderate,Good,East,Middle,Primary,Poor,Regularly,No,None,2017,Alive
+P101198,87,Female,Former,34,5,Low,Asbestos,Low,No,No,23.6,Moderate,None,Average,West,High,Tertiary,Good,Occasionally,No,None,2005,Alive
+P101199,51,Male,Current,28,22,Low,Silica,High,No,No,31.8,Low,Moderate,Good,West,Middle,Primary,Good,Regularly,No,None,2005,Alive
+P101200,62,Female,Current,0,29,High,None,High,No,No,20.6,Moderate,High,Good,West,Middle,Tertiary,Poor,Never,Yes,None,2021,Alive
+P101201,84,Female,Former,3,13,Low,None,High,No,No,27.7,Moderate,Moderate,Poor,West,High,Primary,Poor,Occasionally,No,Stage I,2009,Alive
+P101202,31,Female,Former,27,22,High,Diesel Fumes,Moderate,Yes,No,30.7,High,None,Poor,North,High,Tertiary,Good,Never,No,None,2010,Deceased
+P101203,29,Male,Never,17,10,High,Diesel Fumes,Moderate,Yes,No,33.7,High,Moderate,Good,West,High,Primary,Poor,Regularly,No,None,2013,Alive
+P101204,69,Female,Current,25,30,High,Silica,Low,No,No,20.9,Low,High,Average,East,Middle,Secondary,Poor,Regularly,No,None,2011,Alive
+P101205,82,Female,Former,39,5,Medium,Diesel Fumes,High,No,Yes,30.1,Low,High,Average,South,High,Secondary,Average,Occasionally,No,None,2024,Alive
+P101206,55,Female,Former,18,10,High,Asbestos,Low,No,No,26.0,Low,None,Poor,East,Low,Tertiary,Poor,Occasionally,No,None,2019,Alive
+P101207,47,Male,Former,5,12,Low,Asbestos,High,No,Yes,30.3,Moderate,None,Poor,West,High,Tertiary,Poor,Occasionally,No,None,2017,Alive
+P101208,66,Female,Current,0,11,Medium,Silica,Moderate,No,No,21.8,Moderate,Moderate,Poor,West,Middle,Secondary,Average,Occasionally,Yes,None,2023,Alive
+P101209,34,Female,Current,7,1,Low,None,High,No,Yes,24.4,Low,None,Average,East,High,Tertiary,Good,Regularly,No,None,2021,Deceased
+P101210,56,Female,Current,32,34,High,Silica,High,Yes,No,23.2,Moderate,High,Poor,South,High,Tertiary,Good,Regularly,No,Stage IV,2014,Alive
+P101211,77,Male,Never,42,35,High,Diesel Fumes,High,No,No,22.7,High,Moderate,Good,North,High,Secondary,Poor,Never,No,None,2009,Alive
+P101212,54,Male,Former,20,16,Low,None,Moderate,No,No,25.2,Moderate,Moderate,Average,South,Low,Primary,Poor,Never,No,Stage III,2000,Deceased
+P101213,63,Female,Never,23,27,Medium,None,Moderate,Yes,No,37.5,High,Moderate,Good,South,Middle,Tertiary,Good,Occasionally,Yes,None,2014,Deceased
+P101214,55,Male,Current,24,27,Low,None,Moderate,Yes,No,28.3,Low,Moderate,Poor,South,Low,Tertiary,Poor,Regularly,No,None,2021,Alive
+P101215,26,Male,Never,46,21,High,Diesel Fumes,Low,Yes,No,23.2,Moderate,None,Average,East,Low,Primary,Good,Occasionally,No,None,2001,Alive
+P101216,36,Male,Former,42,37,Medium,Asbestos,High,Yes,Yes,23.5,Low,Moderate,Poor,South,Middle,Primary,Good,Occasionally,Yes,None,2019,Alive
+P101217,63,Female,Current,18,6,High,Asbestos,Moderate,No,No,27.8,High,Moderate,Average,North,Middle,Tertiary,Average,Occasionally,No,None,2001,Alive
+P101218,37,Female,Current,28,14,High,Diesel Fumes,Low,Yes,No,24.1,Low,Moderate,Poor,West,High,Tertiary,Average,Occasionally,No,Stage III,2003,Alive
+P101219,70,Male,Former,9,31,Low,Diesel Fumes,Moderate,Yes,No,24.1,High,High,Average,East,Middle,Primary,Poor,Occasionally,Yes,None,2022,Alive
+P101220,51,Male,Former,11,10,High,Silica,High,Yes,No,19.5,High,High,Average,East,High,Tertiary,Poor,Regularly,No,None,2023,Alive
+P101221,41,Male,Never,32,23,Low,Silica,Low,No,No,24.8,Low,None,Average,South,Low,Primary,Good,Never,Yes,None,2013,Alive
+P101222,84,Female,Current,6,2,Medium,Asbestos,Moderate,No,No,12.4,High,High,Good,West,High,Primary,Poor,Occasionally,No,None,2018,Alive
+P101223,88,Female,Current,16,29,High,Diesel Fumes,Moderate,No,No,16.2,Low,High,Poor,West,Middle,Tertiary,Average,Regularly,No,Stage II,2013,Alive
+P101224,59,Male,Never,9,5,High,Silica,Low,Yes,No,23.2,Low,None,Poor,West,High,Tertiary,Good,Occasionally,No,None,2012,Alive
+P101225,54,Male,Former,30,1,Medium,Diesel Fumes,Low,No,No,28.3,Low,None,Average,East,Low,Primary,Good,Regularly,No,None,2000,Alive
+P101226,87,Male,Current,5,13,Low,Diesel Fumes,Low,Yes,No,33.1,High,Moderate,Good,North,Middle,Tertiary,Poor,Never,Yes,Stage III,2009,Alive
+P101227,52,Male,Current,16,17,High,Asbestos,Low,Yes,No,27.0,High,Moderate,Average,West,Middle,Primary,Good,Never,No,None,2013,Alive
+P101228,84,Female,Never,49,30,Medium,Asbestos,Low,Yes,No,27.7,Moderate,None,Poor,East,High,Secondary,Good,Regularly,No,None,2016,Alive
+P101229,61,Male,Former,36,12,High,Diesel Fumes,Moderate,Yes,No,25.6,Low,Moderate,Poor,South,High,Secondary,Good,Occasionally,No,None,2015,Alive
+P101230,46,Female,Never,17,25,Low,None,Low,No,No,29.2,Low,Moderate,Average,West,High,Primary,Average,Never,No,None,2014,Deceased
+P101231,44,Male,Never,25,11,Low,None,Low,No,No,26.1,Low,Moderate,Average,South,Low,Primary,Good,Occasionally,No,None,2010,Alive
+P101232,88,Male,Current,48,17,Low,Diesel Fumes,High,No,No,26.9,Low,None,Average,West,Low,Tertiary,Average,Occasionally,No,None,2022,Alive
+P101233,41,Male,Current,15,8,Low,Asbestos,Moderate,No,No,17.2,Low,High,Poor,South,Middle,Primary,Good,Regularly,No,None,2011,Alive
+P101234,36,Male,Current,7,20,Medium,None,High,Yes,No,26.3,Low,High,Average,East,Middle,Primary,Poor,Occasionally,No,None,2000,Alive
+P101235,46,Male,Never,23,39,High,Asbestos,Moderate,Yes,No,25.1,Low,None,Average,South,Low,Tertiary,Poor,Regularly,No,Stage II,2002,Alive
+P101236,41,Female,Current,12,23,Medium,None,Moderate,Yes,No,22.9,Moderate,None,Poor,East,High,Tertiary,Good,Regularly,No,None,2010,Alive
+P101237,34,Male,Former,28,33,Low,Diesel Fumes,Moderate,Yes,No,23.3,Moderate,Moderate,Average,South,High,Secondary,Poor,Regularly,No,Stage IV,2020,Alive
+P101238,89,Male,Former,31,7,Low,Silica,Low,Yes,No,18.3,Low,None,Good,South,Low,Primary,Average,Never,No,None,2010,Alive
+P101239,46,Male,Former,23,32,Low,Silica,High,No,No,27.7,Low,None,Poor,South,High,Primary,Good,Occasionally,No,Stage I,2004,Alive
+P101240,74,Female,Never,15,22,Low,Asbestos,Moderate,No,No,26.2,Moderate,None,Average,West,Low,Secondary,Average,Regularly,No,None,2014,Alive
+P101241,38,Female,Current,10,12,High,Asbestos,Moderate,Yes,No,25.3,Moderate,None,Average,North,High,Primary,Good,Regularly,No,None,2019,Alive
+P101242,88,Female,Former,31,13,Low,None,Moderate,Yes,No,26.2,Low,Moderate,Poor,North,High,Tertiary,Average,Occasionally,No,None,2023,Alive
+P101243,71,Female,Never,5,13,High,Diesel Fumes,High,No,No,18.8,Low,Moderate,Poor,West,Middle,Primary,Poor,Never,No,None,2015,Alive
+P101244,53,Male,Never,34,15,Low,None,Moderate,No,No,33.8,Moderate,None,Good,South,High,Tertiary,Average,Regularly,No,None,2002,Alive
+P101245,60,Male,Never,32,37,High,Diesel Fumes,High,Yes,No,29.7,Moderate,None,Average,South,High,Primary,Average,Regularly,No,None,2007,Deceased
+P101246,76,Male,Never,17,38,High,Diesel Fumes,High,No,No,28.1,Low,High,Average,West,Low,Secondary,Poor,Regularly,No,None,2015,Alive
+P101247,31,Female,Former,36,25,Low,Asbestos,Low,No,No,32.4,Moderate,High,Average,East,Low,Tertiary,Poor,Regularly,No,None,2015,Alive
+P101248,53,Male,Current,12,25,Medium,Silica,Moderate,Yes,No,26.1,Low,None,Poor,East,Low,Tertiary,Good,Occasionally,No,None,2021,Alive
+P101249,35,Male,Never,9,0,Medium,Silica,Moderate,Yes,No,23.6,High,High,Poor,West,Low,Secondary,Good,Regularly,No,None,2003,Alive
+P101250,57,Female,Never,36,31,Medium,Asbestos,High,No,No,26.4,Low,High,Poor,North,High,Tertiary,Average,Never,No,None,2014,Deceased
+P101251,30,Female,Former,25,14,Medium,Silica,High,No,No,32.6,Low,Moderate,Average,East,Low,Secondary,Good,Occasionally,No,None,2018,Alive
+P101252,56,Female,Current,45,20,Medium,Asbestos,Low,Yes,No,20.5,Low,Moderate,Average,West,Middle,Primary,Average,Never,Yes,Stage III,2014,Alive
+P101253,75,Male,Former,16,17,Low,None,Moderate,No,No,32.6,Moderate,Moderate,Poor,East,Low,Secondary,Good,Occasionally,No,None,2012,Alive
+P101254,82,Male,Former,0,29,Low,Diesel Fumes,High,No,No,18.2,Low,High,Good,West,High,Primary,Poor,Occasionally,No,None,2009,Alive
+P101255,50,Female,Former,24,12,Low,Silica,Moderate,No,Yes,27.7,Low,None,Average,East,Middle,Tertiary,Poor,Occasionally,No,None,2001,Deceased
+P101256,70,Male,Never,33,23,Low,Silica,Moderate,Yes,Yes,30.1,Moderate,Moderate,Good,East,High,Tertiary,Poor,Never,Yes,None,2005,Deceased
+P101257,53,Female,Never,38,29,Low,None,Moderate,No,No,28.2,High,High,Poor,West,Middle,Secondary,Poor,Never,No,Stage II,2016,Alive
+P101258,28,Female,Current,9,1,Low,None,High,No,No,30.2,High,None,Average,North,Middle,Primary,Average,Regularly,No,None,2007,Alive
+P101259,37,Male,Current,19,18,High,Silica,Moderate,Yes,No,24.4,Moderate,Moderate,Good,North,Middle,Secondary,Poor,Never,Yes,Stage III,2015,Deceased
+P101260,63,Female,Former,6,24,High,Silica,High,Yes,No,18.6,Low,High,Average,East,High,Tertiary,Poor,Regularly,No,None,2020,Deceased
+P101261,39,Female,Current,15,13,Low,Asbestos,Low,No,No,30.3,High,Moderate,Good,East,Middle,Tertiary,Poor,Occasionally,No,None,2012,Alive
+P101262,53,Female,Current,36,5,Low,Asbestos,Low,Yes,No,34.2,High,High,Average,North,High,Primary,Poor,Regularly,No,None,2022,Deceased
+P101263,53,Male,Never,28,11,High,Silica,High,Yes,No,24.2,Moderate,Moderate,Good,West,Middle,Primary,Good,Never,No,None,2011,Alive
+P101264,56,Female,Former,11,19,High,Asbestos,Moderate,No,No,28.4,High,High,Good,South,Low,Tertiary,Average,Occasionally,No,None,2015,Alive
+P101265,26,Female,Never,16,22,Low,None,Low,Yes,No,20.9,High,None,Poor,East,Low,Tertiary,Average,Occasionally,No,None,2006,Alive
+P101266,71,Female,Never,47,29,High,Diesel Fumes,Low,No,No,20.5,Moderate,Moderate,Poor,South,Middle,Primary,Good,Regularly,No,None,2009,Alive
+P101267,46,Female,Current,19,29,Medium,Asbestos,High,No,No,25.5,High,Moderate,Good,East,Middle,Secondary,Good,Regularly,No,None,2005,Alive
+P101268,51,Female,Current,25,37,Medium,Diesel Fumes,High,Yes,No,21.4,Low,High,Average,North,Low,Secondary,Average,Never,No,None,2004,Alive
+P101269,80,Female,Current,47,29,Medium,Asbestos,High,No,No,25.5,Moderate,None,Good,West,Low,Primary,Average,Occasionally,No,None,2017,Alive
+P101270,45,Female,Current,18,29,High,Silica,High,No,No,40.2,Low,None,Average,East,High,Primary,Good,Regularly,No,Stage I,2015,Alive
+P101271,71,Male,Never,46,35,Low,Asbestos,High,No,Yes,21.5,Low,Moderate,Average,South,Low,Primary,Poor,Occasionally,No,None,2002,Alive
+P101272,83,Male,Never,11,33,Low,Diesel Fumes,High,No,No,26.7,Moderate,High,Average,North,High,Tertiary,Average,Never,Yes,Stage III,2002,Alive
+P101273,30,Female,Current,20,15,Low,Diesel Fumes,High,No,No,16.2,High,Moderate,Average,East,Middle,Secondary,Good,Occasionally,No,None,2004,Alive
+P101274,43,Male,Former,41,23,High,Silica,Moderate,Yes,No,27.6,Moderate,High,Poor,West,High,Primary,Poor,Regularly,No,None,2001,Alive
+P101275,81,Male,Current,33,13,High,Diesel Fumes,Moderate,Yes,No,21.5,High,None,Good,East,Middle,Secondary,Poor,Never,Yes,None,2000,Deceased
+P101276,27,Female,Current,6,25,Medium,Silica,Moderate,No,No,26.5,Low,Moderate,Average,West,High,Tertiary,Good,Never,No,Stage II,2003,Alive
+P101277,25,Male,Current,44,7,High,Silica,Moderate,No,No,26.3,High,High,Poor,West,High,Tertiary,Average,Occasionally,No,None,2009,Alive
+P101278,82,Female,Current,34,13,Medium,Diesel Fumes,Low,Yes,No,25.7,Low,None,Average,North,High,Primary,Average,Regularly,No,None,2012,Alive
+P101279,62,Female,Never,14,30,Medium,None,Moderate,No,No,20.3,Low,High,Average,East,Middle,Primary,Poor,Occasionally,No,None,2002,Deceased
+P101280,39,Female,Current,0,1,Low,Diesel Fumes,Low,No,No,23.6,Low,Moderate,Poor,West,Middle,Primary,Good,Occasionally,No,None,2010,Alive
+P101281,58,Female,Current,25,3,High,Diesel Fumes,Low,No,No,26.2,Moderate,High,Poor,North,High,Primary,Poor,Occasionally,Yes,None,2002,Alive
+P101282,85,Female,Never,34,0,Low,Asbestos,Low,Yes,No,23.8,High,Moderate,Average,East,Middle,Secondary,Poor,Regularly,No,None,2009,Alive
+P101283,59,Male,Current,24,19,Low,Diesel Fumes,High,No,No,32.0,High,None,Good,West,High,Primary,Poor,Occasionally,No,Stage IV,2021,Alive
+P101284,88,Female,Former,41,13,High,Asbestos,Low,Yes,No,25.2,High,High,Poor,North,Middle,Secondary,Good,Occasionally,Yes,None,2008,Deceased
+P101285,49,Male,Current,14,39,High,Asbestos,Low,No,No,20.0,Low,None,Good,East,High,Tertiary,Average,Never,Yes,None,2009,Alive
+P101286,48,Female,Never,21,24,Medium,Diesel Fumes,Low,No,No,27.2,Moderate,None,Average,West,Low,Tertiary,Poor,Never,No,None,2012,Alive
+P101287,36,Female,Former,5,24,Medium,Silica,High,Yes,Yes,12.8,High,Moderate,Average,North,Low,Secondary,Average,Never,No,None,2017,Alive
+P101288,42,Female,Never,14,2,Medium,None,Moderate,Yes,Yes,34.8,High,Moderate,Average,North,High,Secondary,Average,Regularly,No,Stage III,2020,Alive
+P101289,39,Male,Current,23,4,Medium,Diesel Fumes,Moderate,No,No,16.4,Moderate,None,Average,East,Middle,Primary,Good,Occasionally,No,None,2017,Alive
+P101290,51,Female,Never,20,37,Low,Diesel Fumes,Low,No,No,29.5,High,Moderate,Average,North,High,Primary,Average,Occasionally,No,None,2021,Alive
+P101291,84,Female,Never,6,25,Low,Silica,Low,No,No,28.7,Moderate,None,Average,East,Low,Primary,Average,Never,No,Stage IV,2016,Alive
+P101292,70,Female,Former,28,39,High,Asbestos,Moderate,Yes,Yes,19.3,Moderate,Moderate,Good,East,Low,Tertiary,Poor,Occasionally,No,None,2016,Alive
+P101293,41,Female,Current,31,37,Medium,Silica,Moderate,No,No,27.8,High,Moderate,Poor,West,High,Secondary,Good,Regularly,No,None,2024,Deceased
+P101294,77,Male,Never,31,37,Medium,Silica,Moderate,Yes,No,21.6,Moderate,High,Average,East,Low,Secondary,Good,Occasionally,No,None,2004,Alive
+P101295,32,Female,Never,4,3,Medium,Asbestos,Moderate,No,No,24.2,Moderate,High,Poor,North,High,Secondary,Poor,Never,No,None,2008,Alive
+P101296,51,Male,Current,3,6,Low,Diesel Fumes,Low,No,No,27.4,High,Moderate,Good,East,Low,Secondary,Poor,Regularly,No,None,2011,Alive
+P101297,70,Female,Former,21,29,High,Silica,Low,No,No,24.8,Low,None,Average,West,Middle,Primary,Average,Occasionally,Yes,None,2011,Alive
+P101298,74,Male,Current,17,29,Low,Silica,Low,No,No,20.0,High,None,Average,North,Middle,Primary,Average,Occasionally,No,None,2023,Alive
+P101299,27,Male,Never,34,18,High,Diesel Fumes,Moderate,No,No,27.1,High,None,Poor,West,Middle,Secondary,Good,Occasionally,Yes,None,2024,Alive
+P101300,88,Female,Current,16,38,High,Diesel Fumes,High,No,No,24.0,Low,Moderate,Poor,South,High,Primary,Good,Regularly,Yes,Stage I,2024,Deceased
+P101301,68,Female,Never,49,34,Low,None,Moderate,No,No,24.4,Moderate,Moderate,Poor,West,High,Tertiary,Average,Occasionally,No,None,2023,Alive
+P101302,77,Male,Never,49,39,Low,Silica,Moderate,Yes,No,24.7,High,None,Average,South,Middle,Primary,Poor,Never,No,None,2018,Deceased
+P101303,48,Female,Current,23,32,High,None,High,No,No,18.3,Low,High,Poor,South,Middle,Tertiary,Good,Never,Yes,None,2006,Alive
+P101304,84,Female,Former,1,32,Low,Asbestos,High,No,No,19.4,Low,High,Poor,East,Middle,Tertiary,Poor,Never,No,None,2019,Alive
+P101305,27,Female,Current,12,13,Low,Diesel Fumes,Moderate,No,No,22.1,High,None,Good,North,Low,Secondary,Average,Never,No,Stage III,2023,Alive
+P101306,44,Male,Former,14,37,High,Diesel Fumes,High,No,Yes,27.1,High,Moderate,Average,East,Middle,Secondary,Good,Regularly,Yes,Stage IV,2022,Deceased
+P101307,70,Female,Former,4,9,High,None,High,Yes,No,20.4,Low,Moderate,Average,North,Low,Primary,Good,Never,No,None,2011,Alive
+P101308,39,Female,Former,2,27,Medium,Silica,High,Yes,No,30.9,High,None,Average,West,Middle,Secondary,Average,Never,No,None,2008,Deceased
+P101309,49,Female,Current,36,13,Low,Asbestos,Moderate,No,No,26.0,Low,High,Poor,South,High,Tertiary,Average,Never,No,None,2007,Alive
+P101310,41,Male,Never,36,35,High,Silica,Moderate,No,No,26.8,High,None,Good,South,Middle,Tertiary,Poor,Regularly,No,None,2018,Deceased
+P101311,33,Female,Never,36,37,Low,Silica,High,Yes,No,23.3,Low,None,Poor,South,Low,Primary,Poor,Regularly,No,Stage I,2020,Alive
+P101312,62,Male,Former,2,15,Low,None,Low,Yes,Yes,17.0,High,None,Average,West,Middle,Tertiary,Average,Occasionally,No,None,2002,Deceased
+P101313,72,Female,Former,34,20,High,Silica,High,Yes,No,27.7,High,High,Poor,West,Low,Secondary,Average,Never,No,Stage III,2010,Alive
+P101314,84,Male,Never,22,27,Medium,None,High,No,No,21.4,High,None,Average,East,Middle,Primary,Average,Occasionally,No,Stage II,2011,Alive
+P101315,87,Female,Current,27,32,High,Diesel Fumes,Moderate,Yes,No,17.5,Moderate,High,Poor,East,Low,Primary,Good,Regularly,No,None,2024,Alive
+P101316,26,Female,Never,29,5,High,Diesel Fumes,Low,Yes,No,20.8,High,Moderate,Poor,North,Low,Primary,Average,Occasionally,No,None,2016,Alive
+P101317,35,Male,Current,17,14,Low,Diesel Fumes,High,No,No,24.6,Low,High,Average,North,Middle,Secondary,Good,Regularly,No,None,2006,Alive
+P101318,88,Male,Never,35,2,Medium,Asbestos,Low,No,No,13.1,Low,High,Poor,South,Middle,Tertiary,Average,Occasionally,No,None,2024,Alive
+P101319,45,Male,Current,32,34,High,Asbestos,Moderate,No,No,23.3,Moderate,None,Average,West,High,Secondary,Good,Never,No,None,2002,Alive
+P101320,42,Female,Current,25,13,Low,Silica,Low,Yes,Yes,30.0,Moderate,Moderate,Poor,West,High,Primary,Poor,Regularly,No,None,2006,Alive
+P101321,88,Female,Never,47,1,High,None,Moderate,Yes,No,25.2,Moderate,None,Poor,East,High,Tertiary,Poor,Regularly,No,None,2006,Alive
+P101322,62,Female,Current,39,28,Low,Silica,High,Yes,No,31.0,High,High,Poor,East,Low,Primary,Good,Regularly,Yes,None,2013,Alive
+P101323,56,Female,Former,16,3,High,Diesel Fumes,Moderate,Yes,No,23.0,High,High,Average,North,Low,Secondary,Poor,Never,No,None,2001,Alive
+P101324,35,Male,Current,39,25,Medium,Silica,Low,No,No,30.8,Low,None,Poor,North,High,Primary,Poor,Never,No,Stage II,2015,Alive
+P101325,69,Female,Current,6,11,High,Silica,Low,Yes,No,18.3,Low,Moderate,Poor,East,High,Secondary,Good,Regularly,No,None,2020,Deceased
+P101326,57,Female,Former,7,1,Low,Silica,Low,No,No,28.0,High,High,Good,East,Middle,Primary,Average,Regularly,No,None,2009,Alive
+P101327,65,Female,Never,30,16,High,Diesel Fumes,High,Yes,No,24.5,Low,High,Good,West,High,Primary,Average,Never,No,None,2013,Deceased
+P101328,32,Female,Former,11,34,Medium,None,Low,Yes,No,31.8,High,High,Average,North,Low,Primary,Good,Never,No,Stage I,2006,Alive
+P101329,35,Female,Never,47,9,Medium,Silica,Low,Yes,No,22.9,Moderate,Moderate,Average,East,Middle,Secondary,Poor,Never,Yes,None,2001,Alive
+P101330,75,Female,Never,30,21,Medium,Diesel Fumes,Low,No,No,19.7,High,None,Average,East,High,Secondary,Average,Never,No,None,2009,Deceased
+P101331,65,Female,Never,43,20,Medium,Asbestos,Moderate,Yes,No,27.5,High,Moderate,Average,South,High,Secondary,Average,Never,Yes,None,2001,Alive
+P101332,41,Male,Former,18,14,Low,None,Low,No,No,33.2,High,Moderate,Poor,East,High,Secondary,Poor,Never,No,Stage I,2012,Deceased
+P101333,70,Female,Current,9,34,High,Diesel Fumes,Moderate,No,Yes,26.2,Low,High,Poor,East,Middle,Secondary,Good,Occasionally,No,Stage I,2021,Alive
+P101334,56,Female,Never,38,20,Medium,Silica,Low,No,No,24.8,High,Moderate,Average,West,Middle,Tertiary,Good,Never,No,Stage II,2001,Alive
+P101335,78,Female,Never,11,20,High,Diesel Fumes,Moderate,No,No,18.9,High,High,Average,East,Middle,Primary,Average,Never,No,None,2009,Deceased
+P101336,44,Female,Current,19,20,Low,None,Moderate,Yes,Yes,29.7,High,Moderate,Good,North,High,Secondary,Good,Regularly,No,None,2013,Alive
+P101337,57,Male,Never,36,31,High,Silica,High,Yes,No,24.7,Moderate,Moderate,Average,South,Middle,Tertiary,Poor,Regularly,No,None,2016,Deceased
+P101338,64,Male,Never,47,4,High,Asbestos,High,No,No,28.5,High,None,Good,West,Middle,Tertiary,Good,Occasionally,No,None,2018,Alive
+P101339,56,Male,Never,40,38,Medium,Asbestos,Moderate,No,No,26.0,High,Moderate,Average,North,Middle,Primary,Good,Never,No,None,2011,Alive
+P101340,26,Male,Current,6,8,Medium,Asbestos,Moderate,Yes,No,35.2,High,None,Average,South,Middle,Primary,Good,Regularly,No,None,2016,Alive
+P101341,57,Male,Current,13,17,Low,Diesel Fumes,High,Yes,No,22.2,Low,High,Poor,South,Low,Primary,Good,Regularly,No,None,2005,Alive
+P101342,54,Male,Former,10,20,High,None,Moderate,No,No,22.4,Moderate,High,Average,East,High,Secondary,Poor,Occasionally,Yes,Stage II,2003,Alive
+P101343,57,Female,Current,6,7,Low,Asbestos,High,Yes,No,30.1,Moderate,None,Good,South,Middle,Primary,Good,Never,No,None,2001,Alive
+P101344,50,Male,Former,28,33,Low,Silica,High,Yes,No,30.2,High,High,Poor,South,Low,Primary,Average,Regularly,No,None,2014,Alive
+P101345,46,Male,Current,9,9,Low,Silica,Low,Yes,No,30.3,High,High,Good,East,Low,Primary,Good,Never,No,None,2022,Alive
+P101346,62,Female,Current,28,23,Medium,Silica,Low,No,No,24.9,Low,Moderate,Average,West,High,Tertiary,Average,Occasionally,No,None,2022,Alive
+P101347,70,Male,Current,8,39,Medium,Diesel Fumes,High,No,No,26.0,High,None,Poor,East,High,Secondary,Poor,Occasionally,Yes,None,2023,Alive
+P101348,39,Female,Never,35,23,High,None,High,No,No,18.3,Low,High,Good,West,Middle,Primary,Good,Never,No,None,2015,Alive
+P101349,68,Female,Never,47,31,High,None,Moderate,No,No,24.2,High,None,Average,South,High,Tertiary,Average,Occasionally,No,None,2011,Alive
+P101350,73,Male,Former,9,32,High,Asbestos,High,No,No,26.4,Low,Moderate,Good,North,High,Secondary,Good,Regularly,No,None,2006,Alive
+P101351,85,Female,Current,18,37,Medium,None,High,Yes,No,26.4,Moderate,High,Average,West,High,Primary,Good,Occasionally,No,None,2012,Alive
+P101352,30,Male,Former,30,33,Medium,Silica,Low,Yes,No,21.2,High,High,Good,West,High,Tertiary,Average,Occasionally,No,None,2000,Alive
+P101353,33,Male,Current,16,10,Low,Silica,High,Yes,No,19.5,Low,None,Average,West,Middle,Secondary,Poor,Never,No,None,2018,Alive
+P101354,30,Female,Current,8,30,Medium,Diesel Fumes,Moderate,No,No,30.2,Low,High,Good,West,Low,Primary,Poor,Regularly,No,None,2012,Alive
+P101355,56,Female,Never,44,17,Low,Silica,High,Yes,Yes,29.4,High,None,Poor,South,High,Primary,Poor,Never,No,None,2000,Alive
+P101356,65,Male,Current,32,22,Low,None,Low,No,No,23.8,Low,High,Average,North,Low,Tertiary,Poor,Never,No,None,2001,Alive
+P101357,32,Female,Current,33,21,Medium,Silica,Low,No,No,30.2,High,Moderate,Average,West,Low,Primary,Poor,Never,No,None,2000,Alive
+P101358,74,Female,Current,44,17,Low,Asbestos,Low,No,No,29.7,High,Moderate,Good,North,Low,Tertiary,Poor,Occasionally,No,None,2011,Alive
+P101359,86,Male,Current,23,39,Low,Diesel Fumes,Low,No,No,16.6,Low,None,Average,South,High,Tertiary,Good,Occasionally,No,None,2024,Alive
+P101360,86,Male,Current,8,38,High,Diesel Fumes,High,No,No,24.5,Low,High,Poor,West,High,Tertiary,Good,Never,No,Stage IV,2022,Alive
+P101361,31,Female,Never,6,19,Low,None,Moderate,No,No,31.7,Low,High,Good,North,Middle,Secondary,Average,Occasionally,No,None,2024,Alive
+P101362,28,Male,Current,15,12,Medium,Silica,Moderate,Yes,No,17.0,Moderate,None,Good,West,High,Tertiary,Poor,Occasionally,No,None,2023,Alive
+P101363,30,Male,Never,18,0,Medium,Silica,Moderate,No,No,17.7,High,Moderate,Good,West,High,Secondary,Poor,Never,No,None,2009,Alive
+P101364,82,Male,Current,38,3,Low,None,High,Yes,No,28.1,High,Moderate,Poor,South,High,Primary,Poor,Regularly,No,None,2001,Alive
+P101365,46,Male,Current,5,23,High,None,High,No,No,31.5,Moderate,Moderate,Poor,West,Low,Secondary,Average,Regularly,No,Stage I,2000,Alive
+P101366,50,Male,Former,49,35,Medium,Asbestos,High,Yes,Yes,23.6,Moderate,None,Average,North,Middle,Tertiary,Good,Occasionally,No,None,2004,Deceased
+P101367,27,Male,Current,10,35,Medium,None,Moderate,No,No,22.7,Low,Moderate,Good,North,Low,Primary,Good,Regularly,Yes,None,2022,Alive
+P101368,65,Male,Former,11,1,High,Silica,High,No,No,16.5,High,None,Poor,South,Middle,Tertiary,Poor,Regularly,No,None,2001,Alive
+P101369,84,Female,Former,41,27,Low,Asbestos,High,Yes,Yes,23.5,Moderate,Moderate,Average,East,High,Tertiary,Good,Occasionally,Yes,None,2003,Alive
+P101370,38,Male,Former,12,25,Medium,Diesel Fumes,Low,No,No,17.6,Moderate,Moderate,Poor,East,High,Primary,Good,Regularly,No,None,2022,Alive
+P101371,36,Female,Current,11,22,Low,Silica,Low,No,No,23.2,High,None,Poor,South,Low,Tertiary,Good,Occasionally,No,None,2013,Alive
+P101372,36,Female,Current,20,14,Low,Diesel Fumes,Moderate,Yes,No,31.6,High,High,Poor,South,Low,Secondary,Poor,Never,No,None,2008,Alive
+P101373,37,Female,Current,9,35,Low,Diesel Fumes,Low,Yes,No,18.5,High,High,Average,East,Low,Primary,Good,Regularly,No,None,2005,Alive
+P101374,49,Male,Never,19,26,Low,Diesel Fumes,Low,No,No,23.7,Low,High,Poor,East,Middle,Primary,Good,Never,Yes,None,2022,Alive
+P101375,69,Male,Current,49,5,Medium,Silica,Low,Yes,No,29.3,Moderate,Moderate,Poor,North,Low,Primary,Average,Never,No,None,2023,Deceased
+P101376,43,Female,Current,35,34,High,Diesel Fumes,High,Yes,No,21.1,Low,Moderate,Poor,North,High,Tertiary,Poor,Occasionally,No,None,2011,Alive
+P101377,79,Male,Never,27,38,Medium,Silica,Low,No,No,27.0,High,High,Good,North,Middle,Tertiary,Good,Regularly,No,None,2011,Deceased
+P101378,69,Female,Never,23,37,High,Diesel Fumes,Low,Yes,No,29.1,High,Moderate,Poor,East,Middle,Primary,Poor,Regularly,No,None,2023,Alive
+P101379,32,Male,Never,4,34,Low,None,Low,No,No,25.4,Moderate,Moderate,Good,South,High,Secondary,Good,Regularly,Yes,None,2008,Alive
+P101380,77,Male,Current,36,35,High,None,High,Yes,Yes,25.5,Low,High,Poor,West,Low,Tertiary,Poor,Regularly,No,None,2014,Alive
+P101381,79,Female,Current,11,9,Low,Silica,Moderate,No,No,19.5,Low,None,Good,North,Low,Tertiary,Good,Occasionally,No,None,2009,Alive
+P101382,56,Female,Current,34,29,Medium,Diesel Fumes,High,No,No,23.0,Low,High,Poor,West,High,Tertiary,Good,Never,No,Stage II,2001,Alive
+P101383,75,Female,Never,39,37,Medium,Diesel Fumes,High,No,No,25.8,High,High,Good,South,High,Secondary,Average,Regularly,No,None,2022,Alive
+P101384,68,Male,Current,1,28,High,Diesel Fumes,Low,Yes,No,15.5,Moderate,None,Good,East,High,Tertiary,Poor,Regularly,No,None,2017,Alive
+P101385,42,Female,Never,49,38,Low,None,Moderate,No,No,13.8,Low,Moderate,Good,North,High,Tertiary,Good,Occasionally,No,None,2006,Alive
+P101386,46,Male,Former,40,3,Low,Diesel Fumes,Low,Yes,Yes,24.2,High,High,Poor,East,Middle,Secondary,Average,Regularly,No,None,2008,Alive
+P101387,61,Male,Current,44,4,High,Diesel Fumes,Low,No,No,26.9,High,High,Average,South,Middle,Secondary,Average,Regularly,No,Stage III,2019,Alive
+P101388,80,Male,Never,38,3,Low,Silica,Moderate,No,Yes,25.4,Low,Moderate,Good,North,Low,Tertiary,Poor,Never,No,Stage IV,2020,Alive
+P101389,83,Female,Current,41,35,Low,Diesel Fumes,Moderate,No,No,16.9,Moderate,Moderate,Good,South,Middle,Primary,Poor,Regularly,No,Stage I,2020,Alive
+P101390,27,Female,Never,8,15,Low,None,High,Yes,No,30.5,Moderate,None,Good,South,Middle,Primary,Average,Regularly,No,Stage III,2017,Alive
+P101391,52,Female,Current,21,24,Medium,Diesel Fumes,Moderate,No,No,25.5,Low,Moderate,Good,North,Middle,Secondary,Poor,Never,No,None,2002,Alive
+P101392,59,Male,Former,46,13,Medium,None,High,No,No,29.9,High,High,Good,West,High,Tertiary,Poor,Regularly,No,None,2012,Alive
+P101393,85,Male,Former,4,10,Medium,None,High,Yes,Yes,21.8,High,Moderate,Average,North,Middle,Secondary,Poor,Never,No,Stage II,2009,Alive
+P101394,78,Female,Never,11,28,Low,Asbestos,Low,No,No,26.3,Low,Moderate,Poor,East,Low,Secondary,Good,Occasionally,Yes,None,2016,Alive
+P101395,87,Male,Never,0,33,Medium,None,Low,No,No,27.6,High,None,Average,West,Middle,Primary,Poor,Never,No,None,2002,Alive
+P101396,31,Male,Current,43,21,Low,Asbestos,Low,Yes,No,30.0,High,None,Poor,North,High,Secondary,Poor,Never,No,Stage I,2020,Alive
+P101397,73,Female,Never,21,13,Low,Asbestos,Moderate,Yes,No,29.6,Low,High,Average,North,Middle,Secondary,Average,Regularly,Yes,None,2008,Alive
+P101398,55,Female,Current,37,23,High,Diesel Fumes,Moderate,Yes,No,21.0,High,High,Poor,North,Low,Tertiary,Average,Regularly,Yes,None,2016,Alive
+P101399,82,Female,Current,18,38,Low,Asbestos,High,No,No,24.4,Low,Moderate,Good,North,Middle,Tertiary,Average,Regularly,No,None,2015,Alive
+P101400,85,Male,Never,15,25,Medium,Silica,High,Yes,No,22.4,Low,High,Poor,North,Low,Secondary,Poor,Regularly,No,Stage II,2005,Alive
+P101401,48,Male,Never,30,35,Medium,None,High,No,No,25.7,Low,High,Poor,East,High,Secondary,Poor,Never,No,None,2017,Alive
+P101402,44,Male,Current,2,38,Low,Silica,Moderate,No,No,17.8,High,Moderate,Good,South,Low,Tertiary,Average,Occasionally,No,None,2005,Alive
+P101403,61,Male,Current,22,15,Medium,Asbestos,High,Yes,No,17.1,Low,Moderate,Good,East,Low,Primary,Average,Regularly,No,Stage IV,2005,Alive
+P101404,28,Male,Current,41,37,Low,Diesel Fumes,High,Yes,No,36.9,High,Moderate,Poor,South,High,Tertiary,Good,Never,No,None,2016,Alive
+P101405,44,Female,Former,17,31,High,None,Moderate,No,No,34.7,Low,None,Poor,North,Low,Tertiary,Good,Occasionally,No,None,2020,Alive
+P101406,84,Male,Current,25,5,Low,Silica,Low,Yes,No,30.8,Moderate,None,Good,East,Middle,Tertiary,Good,Occasionally,No,None,2009,Deceased
+P101407,48,Male,Never,12,33,Low,Diesel Fumes,Moderate,Yes,No,27.4,High,Moderate,Average,South,Middle,Tertiary,Poor,Occasionally,No,None,2001,Alive
+P101408,74,Male,Current,17,7,High,Asbestos,High,No,No,28.9,High,None,Good,South,Low,Tertiary,Poor,Never,Yes,None,2000,Alive
+P101409,73,Female,Current,2,29,Medium,Diesel Fumes,Low,Yes,No,28.9,High,None,Poor,North,Middle,Primary,Average,Regularly,No,None,2010,Alive
+P101410,75,Female,Never,22,26,High,Silica,Moderate,Yes,Yes,33.3,Moderate,None,Poor,North,Middle,Tertiary,Good,Never,No,None,2024,Alive
+P101411,60,Female,Never,2,6,High,Diesel Fumes,Low,Yes,No,22.5,Low,High,Poor,West,High,Tertiary,Poor,Regularly,No,None,2005,Deceased
+P101412,58,Male,Never,24,26,Low,Silica,Low,No,No,21.2,Moderate,Moderate,Good,West,Low,Primary,Good,Occasionally,No,None,2000,Alive
+P101413,60,Female,Never,26,24,Low,Diesel Fumes,High,Yes,No,24.9,Low,Moderate,Good,South,Middle,Secondary,Good,Occasionally,No,None,2015,Alive
+P101414,30,Female,Current,43,14,High,None,Moderate,Yes,No,28.0,Low,High,Average,West,Low,Primary,Poor,Never,No,None,2008,Alive
+P101415,63,Female,Former,26,24,Medium,Diesel Fumes,High,No,No,23.7,Low,None,Poor,East,Low,Tertiary,Good,Occasionally,No,None,2011,Alive
+P101416,66,Male,Never,38,21,High,None,Moderate,No,No,22.2,Low,Moderate,Poor,South,Middle,Secondary,Average,Never,No,None,2008,Alive
+P101417,82,Female,Former,24,17,Medium,Silica,Moderate,No,No,32.2,Low,None,Good,East,High,Primary,Average,Regularly,No,None,2012,Alive
+P101418,36,Male,Current,23,11,High,None,Moderate,No,No,20.8,Moderate,High,Poor,West,High,Secondary,Poor,Occasionally,No,None,2006,Alive
+P101419,27,Male,Current,7,22,High,Diesel Fumes,Low,Yes,No,32.3,High,None,Average,East,Low,Primary,Good,Regularly,No,None,2024,Alive
+P101420,42,Female,Former,8,38,Medium,None,Low,No,No,29.8,Moderate,High,Good,South,High,Primary,Average,Occasionally,Yes,None,2000,Alive
+P101421,64,Male,Never,45,24,High,Silica,High,No,No,34.6,High,High,Poor,East,Middle,Secondary,Good,Regularly,No,None,2002,Alive
+P101422,45,Female,Current,36,9,Low,Diesel Fumes,Moderate,Yes,No,35.9,High,None,Good,South,Middle,Secondary,Average,Occasionally,No,None,2023,Alive
+P101423,39,Male,Current,29,29,High,None,Moderate,No,No,26.9,High,None,Good,West,High,Secondary,Average,Regularly,Yes,None,2002,Alive
+P101424,50,Female,Never,18,9,Low,None,Low,No,No,35.4,Moderate,Moderate,Average,South,High,Secondary,Good,Occasionally,Yes,None,2023,Alive
+P101425,32,Female,Never,15,33,Medium,Asbestos,Moderate,Yes,No,27.5,Low,High,Good,West,Low,Tertiary,Poor,Never,No,Stage II,2018,Alive
+P101426,66,Female,Never,23,12,Medium,None,High,No,No,27.0,Low,None,Poor,North,High,Primary,Poor,Regularly,No,Stage IV,2003,Alive
+P101427,68,Male,Never,43,28,Low,Asbestos,Moderate,No,No,26.0,High,None,Average,West,Low,Tertiary,Poor,Regularly,No,None,2011,Alive
+P101428,38,Female,Former,20,37,High,Silica,Moderate,Yes,No,22.8,Low,Moderate,Good,South,Middle,Primary,Good,Never,No,None,2003,Deceased
+P101429,26,Male,Current,35,8,Low,Asbestos,Low,Yes,No,28.8,Low,Moderate,Poor,South,High,Tertiary,Good,Never,No,None,2020,Alive
+P101430,61,Female,Former,39,12,Low,Silica,Moderate,Yes,No,30.8,Moderate,Moderate,Good,North,Low,Tertiary,Good,Never,No,None,2009,Alive
+P101431,62,Male,Current,38,36,Medium,None,High,Yes,No,18.0,Low,High,Good,North,Low,Primary,Poor,Occasionally,No,None,2003,Alive
+P101432,65,Male,Former,46,13,Low,None,High,Yes,No,37.8,Low,Moderate,Average,West,Low,Tertiary,Good,Never,No,Stage IV,2022,Alive
+P101433,86,Female,Current,5,36,High,Asbestos,High,Yes,No,33.1,Moderate,High,Average,East,Low,Secondary,Poor,Occasionally,No,Stage II,2010,Deceased
+P101434,84,Female,Current,4,8,Low,Silica,High,Yes,No,22.1,Low,Moderate,Average,East,Middle,Secondary,Average,Occasionally,Yes,None,2003,Deceased
+P101435,38,Female,Never,13,7,Medium,None,Low,Yes,No,27.8,High,High,Average,North,High,Tertiary,Poor,Never,No,None,2010,Deceased
+P101436,26,Female,Former,44,38,High,Asbestos,Moderate,Yes,No,24.8,Moderate,Moderate,Poor,West,Low,Tertiary,Poor,Never,No,None,2016,Alive
+P101437,41,Female,Current,41,39,Medium,Asbestos,Low,Yes,No,26.7,Low,High,Good,North,High,Primary,Poor,Occasionally,No,None,2020,Deceased
+P101438,52,Male,Never,49,2,Low,Asbestos,High,Yes,Yes,24.3,Low,Moderate,Average,North,High,Primary,Good,Regularly,No,None,2023,Alive
+P101439,59,Female,Former,3,39,Low,None,Moderate,Yes,No,27.6,Moderate,Moderate,Poor,South,Middle,Tertiary,Poor,Regularly,No,None,2021,Alive
+P101440,29,Female,Former,7,32,Medium,Silica,Low,No,No,19.7,High,None,Average,South,High,Primary,Average,Never,No,None,2019,Alive
+P101441,89,Male,Current,23,31,Medium,None,Moderate,Yes,No,36.0,Moderate,High,Good,South,Middle,Secondary,Average,Regularly,No,None,2019,Alive
+P101442,64,Female,Former,10,6,High,Diesel Fumes,High,Yes,No,20.0,High,None,Average,North,Middle,Secondary,Average,Occasionally,Yes,None,2012,Alive
+P101443,80,Female,Current,16,18,Medium,Diesel Fumes,High,Yes,No,27.8,Moderate,High,Good,West,Low,Secondary,Average,Regularly,Yes,None,2016,Alive
+P101444,60,Male,Former,49,33,Medium,None,Moderate,Yes,No,21.6,Low,None,Good,East,Middle,Primary,Average,Occasionally,No,None,2012,Alive
+P101445,69,Female,Current,20,13,Low,Silica,Moderate,Yes,No,24.2,Moderate,Moderate,Poor,East,Low,Primary,Average,Never,No,None,2016,Deceased
+P101446,47,Female,Former,25,18,Low,Asbestos,High,No,No,27.3,Moderate,None,Average,South,Middle,Primary,Poor,Never,Yes,None,2018,Alive
+P101447,71,Female,Current,42,25,Medium,Diesel Fumes,Low,No,No,25.5,High,Moderate,Average,West,Middle,Primary,Good,Regularly,No,Stage III,2019,Alive
+P101448,55,Male,Former,47,16,Medium,Diesel Fumes,High,No,Yes,25.6,Moderate,High,Good,South,High,Tertiary,Good,Never,Yes,None,2014,Alive
+P101449,35,Female,Current,43,27,Low,None,Moderate,No,No,23.2,High,Moderate,Average,West,Low,Tertiary,Average,Never,No,None,2003,Alive
+P101450,34,Male,Current,44,18,High,Diesel Fumes,Low,Yes,No,21.5,Moderate,None,Good,West,High,Tertiary,Poor,Occasionally,No,None,2017,Alive
+P101451,38,Female,Former,26,26,High,Diesel Fumes,High,No,No,28.3,Low,High,Poor,West,Middle,Tertiary,Average,Occasionally,No,None,2010,Alive
+P101452,34,Male,Never,15,18,High,Asbestos,Moderate,No,No,20.7,Moderate,None,Average,North,Low,Secondary,Average,Occasionally,No,None,2008,Alive
+P101453,25,Female,Never,25,32,High,Asbestos,Moderate,Yes,No,21.8,Low,Moderate,Good,West,Middle,Primary,Average,Occasionally,Yes,None,2015,Alive
+P101454,29,Male,Never,32,6,Low,Silica,Moderate,No,No,21.8,High,Moderate,Average,North,Middle,Secondary,Average,Never,No,Stage II,2023,Alive
+P101455,44,Male,Current,30,28,Medium,Diesel Fumes,Low,No,No,23.3,High,None,Average,East,High,Primary,Good,Occasionally,Yes,None,2002,Alive
+P101456,32,Male,Never,47,4,High,Silica,Low,Yes,No,17.9,High,High,Poor,East,Low,Tertiary,Good,Occasionally,No,None,2017,Alive
+P101457,67,Male,Never,46,29,Low,Silica,Low,Yes,No,18.0,High,None,Good,North,Low,Secondary,Poor,Occasionally,No,None,2016,Alive
+P101458,25,Male,Current,5,7,Medium,Asbestos,Low,No,No,27.7,Moderate,Moderate,Poor,East,Low,Primary,Poor,Regularly,No,None,2009,Alive
+P101459,81,Male,Former,43,11,High,Asbestos,Moderate,Yes,No,27.8,Moderate,High,Poor,East,Middle,Tertiary,Average,Occasionally,Yes,Stage III,2024,Alive
+P101460,88,Female,Former,7,12,Medium,None,Moderate,No,No,26.6,Moderate,None,Poor,South,Low,Primary,Good,Never,Yes,None,2004,Alive
+P101461,52,Female,Never,6,25,High,Asbestos,Low,Yes,No,31.9,Low,Moderate,Good,North,Middle,Primary,Average,Never,No,None,2023,Alive
+P101462,61,Male,Current,33,17,Medium,Silica,Low,No,No,20.6,Moderate,High,Good,North,Middle,Tertiary,Good,Occasionally,No,None,2014,Deceased
+P101463,71,Male,Current,43,19,High,Diesel Fumes,Moderate,No,No,16.4,Low,None,Average,North,Middle,Secondary,Good,Regularly,Yes,None,2019,Alive
+P101464,61,Male,Current,13,15,High,Silica,High,No,No,28.9,Low,High,Good,South,Low,Primary,Poor,Regularly,No,None,2017,Alive
+P101465,73,Male,Former,15,36,Medium,Silica,High,Yes,No,16.3,Moderate,Moderate,Poor,North,High,Tertiary,Poor,Regularly,Yes,None,2004,Alive
+P101466,68,Female,Current,42,2,Medium,Silica,Moderate,Yes,No,24.3,Low,None,Good,East,Middle,Primary,Good,Regularly,No,None,2023,Alive
+P101467,80,Male,Never,8,26,Medium,Asbestos,Low,No,Yes,26.4,High,None,Average,West,High,Primary,Poor,Occasionally,No,None,2014,Alive
+P101468,52,Female,Never,9,14,Low,Silica,Low,Yes,No,35.3,Moderate,Moderate,Poor,South,Low,Primary,Average,Occasionally,Yes,None,2005,Alive
+P101469,30,Female,Never,16,33,Low,None,Moderate,Yes,No,22.3,Moderate,Moderate,Average,South,Low,Secondary,Good,Never,No,None,2007,Alive
+P101470,85,Male,Former,11,21,Medium,Diesel Fumes,High,No,Yes,22.6,Low,Moderate,Good,North,Low,Secondary,Good,Never,No,Stage I,2002,Deceased
+P101471,44,Male,Former,5,39,Low,Asbestos,Moderate,Yes,No,28.3,Moderate,None,Average,West,Low,Secondary,Good,Regularly,No,None,2004,Alive
+P101472,26,Female,Former,18,22,High,Silica,Moderate,Yes,No,28.0,Moderate,Moderate,Average,West,Low,Secondary,Average,Regularly,No,None,2017,Alive
+P101473,61,Female,Never,42,3,Medium,None,Moderate,No,No,23.3,Low,None,Good,West,High,Tertiary,Good,Never,No,None,2014,Alive
+P101474,44,Male,Former,40,22,Low,Diesel Fumes,Low,No,No,25.9,Moderate,None,Average,East,Low,Secondary,Poor,Never,No,None,2011,Alive
+P101475,50,Male,Current,28,8,Medium,Silica,Low,Yes,No,21.3,Moderate,High,Good,West,Low,Primary,Average,Regularly,No,None,2018,Alive
+P101476,53,Male,Former,5,23,High,Diesel Fumes,Low,Yes,No,27.2,Moderate,Moderate,Poor,North,Low,Tertiary,Good,Never,No,Stage III,2006,Alive
+P101477,25,Female,Current,24,20,High,Asbestos,High,Yes,No,17.0,Low,Moderate,Average,East,Low,Primary,Average,Regularly,Yes,None,2000,Alive
+P101478,59,Female,Never,23,15,Low,Asbestos,Moderate,No,No,39.5,Moderate,High,Poor,West,Low,Secondary,Average,Occasionally,No,Stage IV,2023,Alive
+P101479,83,Male,Current,24,24,High,None,Moderate,Yes,No,28.6,Moderate,None,Good,North,Middle,Primary,Poor,Regularly,No,None,2020,Deceased
+P101480,57,Female,Former,15,25,Medium,Asbestos,High,Yes,No,19.5,Moderate,None,Good,East,Middle,Primary,Poor,Occasionally,No,Stage I,2001,Alive
+P101481,75,Female,Never,15,8,Low,None,Low,Yes,No,23.7,High,None,Average,East,High,Primary,Poor,Occasionally,No,None,2018,Alive
+P101482,36,Male,Never,5,14,Medium,Silica,Moderate,Yes,No,19.7,Moderate,Moderate,Average,West,Low,Primary,Good,Occasionally,Yes,None,2012,Deceased
+P101483,44,Male,Current,36,38,Medium,Diesel Fumes,High,Yes,No,20.9,Low,None,Good,East,High,Secondary,Good,Never,No,None,2019,Alive
+P101484,77,Female,Current,20,32,Medium,Asbestos,Low,Yes,No,26.1,High,High,Good,South,High,Primary,Poor,Never,No,None,2017,Alive
+P101485,67,Female,Former,3,0,High,Diesel Fumes,Low,No,Yes,32.0,Low,None,Poor,North,Low,Primary,Poor,Regularly,No,Stage III,2009,Alive
+P101486,74,Male,Never,33,4,Medium,Diesel Fumes,Moderate,No,No,24.5,Moderate,Moderate,Poor,West,Low,Primary,Good,Occasionally,Yes,None,2012,Alive
+P101487,53,Male,Current,27,8,High,Silica,Low,No,No,15.5,Moderate,Moderate,Average,North,Middle,Primary,Poor,Regularly,No,None,2004,Deceased
+P101488,81,Male,Current,37,5,Medium,Silica,High,Yes,No,21.9,Moderate,None,Average,North,Low,Secondary,Average,Occasionally,Yes,Stage II,2022,Deceased
+P101489,63,Male,Former,40,27,High,Asbestos,Low,Yes,No,22.3,High,None,Average,South,Middle,Primary,Average,Occasionally,No,None,2012,Alive
+P101490,80,Male,Former,27,25,High,Silica,Moderate,No,No,25.4,Moderate,Moderate,Average,East,High,Tertiary,Average,Regularly,Yes,Stage IV,2008,Alive
+P101491,67,Female,Never,16,27,High,Diesel Fumes,High,No,No,24.3,Low,None,Average,South,High,Tertiary,Good,Regularly,Yes,None,2000,Alive
+P101492,74,Female,Current,13,39,Medium,None,Low,No,No,14.0,High,High,Average,South,Middle,Primary,Poor,Regularly,No,None,2021,Alive
+P101493,47,Female,Former,6,14,Medium,None,Low,No,No,20.4,Low,Moderate,Average,East,Middle,Primary,Average,Regularly,Yes,None,2005,Deceased
+P101494,68,Female,Current,21,5,High,None,Low,No,No,19.5,Low,None,Average,West,Low,Secondary,Good,Never,No,None,2000,Alive
+P101495,62,Male,Former,0,26,Medium,Asbestos,High,Yes,No,29.5,Low,None,Poor,North,Middle,Tertiary,Poor,Occasionally,No,None,2017,Alive
+P101496,47,Male,Former,28,37,High,Silica,Low,Yes,No,23.6,Low,None,Good,West,Middle,Secondary,Poor,Occasionally,No,None,2015,Alive
+P101497,69,Male,Former,30,3,Medium,Silica,Moderate,Yes,No,15.0,Low,High,Good,West,Low,Primary,Average,Never,No,None,2007,Alive
+P101498,76,Female,Current,29,10,High,Silica,High,Yes,No,20.7,Moderate,Moderate,Average,South,High,Tertiary,Poor,Occasionally,Yes,None,2005,Alive
+P101499,74,Female,Current,14,20,High,Silica,High,Yes,No,30.9,Low,High,Good,East,Middle,Tertiary,Poor,Never,Yes,None,2012,Alive
+P101500,32,Female,Former,17,29,Low,Diesel Fumes,Low,No,No,22.0,Low,None,Average,East,Low,Secondary,Average,Occasionally,No,None,2016,Deceased
+P101501,25,Male,Current,34,17,Medium,None,High,No,No,21.6,Moderate,High,Poor,North,Low,Primary,Average,Never,No,None,2012,Alive
+P101502,32,Female,Former,49,34,Medium,Diesel Fumes,Moderate,Yes,No,24.1,High,None,Average,East,Middle,Tertiary,Poor,Never,No,Stage IV,2009,Alive
+P101503,53,Male,Former,29,2,Low,Asbestos,High,No,No,26.1,Moderate,None,Poor,West,High,Secondary,Good,Occasionally,No,None,2005,Alive
+P101504,29,Male,Never,33,11,High,None,Moderate,Yes,Yes,24.3,High,Moderate,Poor,East,Low,Tertiary,Good,Occasionally,No,None,2022,Alive
+P101505,71,Male,Former,41,26,High,None,Low,Yes,No,30.1,Low,Moderate,Poor,East,Middle,Primary,Average,Occasionally,No,None,2017,Alive
+P101506,58,Male,Never,10,29,Low,Diesel Fumes,High,No,No,24.3,Moderate,None,Average,West,High,Primary,Poor,Regularly,No,None,2019,Alive
+P101507,89,Male,Current,26,20,Low,Asbestos,Moderate,Yes,No,28.4,High,None,Poor,North,Middle,Primary,Average,Occasionally,No,None,2022,Alive
+P101508,79,Male,Former,23,37,High,Asbestos,Low,Yes,No,26.0,High,None,Average,North,Low,Secondary,Good,Occasionally,Yes,Stage I,2012,Alive
+P101509,67,Female,Current,34,20,Medium,None,Moderate,Yes,No,18.5,Moderate,Moderate,Poor,West,Low,Primary,Good,Occasionally,No,None,2014,Alive
+P101510,54,Male,Former,38,37,Low,Silica,High,No,No,33.9,Moderate,Moderate,Poor,East,Low,Secondary,Poor,Regularly,No,Stage I,2005,Deceased
+P101511,41,Male,Current,7,39,Low,Asbestos,High,No,No,30.8,Moderate,None,Good,East,Middle,Tertiary,Average,Occasionally,No,None,2010,Deceased
+P101512,50,Female,Former,17,14,Low,Diesel Fumes,Moderate,Yes,No,22.2,Moderate,Moderate,Average,North,Low,Primary,Average,Never,Yes,None,2007,Alive
+P101513,32,Male,Never,12,17,Low,Asbestos,Low,Yes,No,24.4,Moderate,None,Good,North,Middle,Secondary,Good,Never,No,None,2013,Alive
+P101514,71,Female,Former,44,28,Low,None,Low,No,Yes,28.1,Low,High,Poor,North,High,Secondary,Average,Regularly,No,None,2012,Alive
+P101515,70,Female,Never,23,37,Low,Silica,Low,No,No,25.9,Low,Moderate,Good,South,High,Secondary,Average,Regularly,No,None,2021,Alive
+P101516,57,Female,Current,22,20,High,Asbestos,Low,No,Yes,25.5,Moderate,None,Poor,North,High,Primary,Average,Regularly,No,None,2001,Alive
+P101517,25,Male,Former,11,16,High,None,Moderate,No,No,27.5,Moderate,High,Good,East,High,Secondary,Poor,Regularly,No,None,2000,Alive
+P101518,43,Male,Current,48,17,Low,Asbestos,High,Yes,No,26.8,Low,None,Good,North,Low,Primary,Good,Regularly,No,None,2004,Alive
+P101519,55,Female,Never,29,36,High,Silica,Moderate,Yes,No,26.8,High,High,Average,East,Low,Primary,Average,Occasionally,No,None,2010,Alive
+P101520,38,Male,Never,30,37,Medium,Diesel Fumes,High,Yes,No,25.5,Low,Moderate,Average,East,Middle,Tertiary,Poor,Never,No,None,2009,Alive
+P101521,77,Male,Former,27,11,Medium,None,High,No,No,28.2,Moderate,Moderate,Good,East,High,Tertiary,Average,Never,No,None,2011,Alive
+P101522,72,Female,Current,21,10,Low,None,Moderate,No,No,26.0,High,None,Good,North,High,Primary,Average,Occasionally,No,None,2009,Alive
+P101523,86,Female,Current,43,19,Medium,Silica,Moderate,Yes,No,26.2,Moderate,Moderate,Average,North,Middle,Tertiary,Good,Regularly,No,None,2008,Alive
+P101524,88,Male,Former,27,8,Medium,None,Low,No,No,31.9,High,Moderate,Poor,West,Middle,Secondary,Poor,Occasionally,No,None,2001,Alive
+P101525,87,Female,Former,12,0,High,Silica,High,Yes,No,27.2,Moderate,High,Poor,North,Middle,Primary,Average,Regularly,Yes,None,2022,Alive
+P101526,57,Female,Never,24,2,High,None,Low,No,No,26.7,Low,Moderate,Poor,North,Middle,Tertiary,Good,Never,Yes,None,2024,Alive
+P101527,65,Female,Current,43,20,High,Silica,Low,Yes,No,20.6,Moderate,High,Poor,North,High,Secondary,Poor,Never,No,None,2003,Alive
+P101528,72,Male,Current,45,22,High,Asbestos,Moderate,Yes,No,20.8,Low,High,Good,South,Low,Primary,Average,Regularly,No,None,2003,Alive
+P101529,37,Male,Never,6,8,Medium,Asbestos,Low,Yes,No,30.7,High,High,Poor,North,High,Secondary,Good,Occasionally,No,None,2020,Deceased
+P101530,55,Male,Former,44,18,Low,Asbestos,Low,Yes,No,27.9,Low,Moderate,Good,South,Middle,Primary,Average,Regularly,No,None,2005,Alive
+P101531,28,Female,Never,5,18,High,None,Low,No,No,29.6,High,None,Good,East,Low,Tertiary,Average,Regularly,No,Stage II,2011,Alive
+P101532,43,Male,Current,23,22,Medium,Silica,Moderate,Yes,No,26.0,Moderate,None,Poor,East,High,Secondary,Poor,Never,No,None,2006,Alive
+P101533,37,Female,Never,18,26,High,Silica,Low,Yes,No,27.0,Low,Moderate,Poor,East,Middle,Tertiary,Good,Regularly,No,None,2024,Alive
+P101534,47,Male,Current,18,26,Medium,Diesel Fumes,Low,Yes,No,24.3,High,High,Poor,East,Low,Secondary,Poor,Occasionally,No,None,2021,Deceased
+P101535,25,Male,Never,35,38,High,Asbestos,Moderate,Yes,No,24.9,High,Moderate,Average,South,Low,Secondary,Average,Regularly,No,None,2018,Alive
+P101536,78,Female,Current,8,35,Low,Diesel Fumes,Moderate,No,No,22.9,High,None,Good,South,Middle,Secondary,Good,Never,No,None,2001,Alive
+P101537,39,Male,Current,47,11,High,Asbestos,Moderate,Yes,No,31.7,High,High,Poor,East,Low,Secondary,Average,Occasionally,No,None,2021,Alive
+P101538,89,Female,Current,35,26,Low,Diesel Fumes,High,Yes,No,21.4,Moderate,Moderate,Average,North,High,Tertiary,Average,Occasionally,No,None,2024,Alive
+P101539,39,Male,Current,37,33,High,Asbestos,Moderate,No,No,26.5,Moderate,High,Good,East,High,Secondary,Average,Never,No,None,2018,Alive
+P101540,45,Male,Current,39,32,High,Silica,High,Yes,No,24.2,Moderate,High,Good,East,High,Tertiary,Good,Never,No,None,2003,Alive
+P101541,43,Female,Never,28,27,High,Asbestos,Moderate,Yes,No,29.8,High,None,Good,South,Low,Secondary,Average,Regularly,Yes,None,2002,Alive
+P101542,84,Female,Former,23,30,Medium,None,Moderate,Yes,Yes,26.1,Moderate,High,Poor,East,Low,Primary,Good,Never,No,None,2022,Alive
+P101543,57,Female,Never,47,31,Medium,Asbestos,Moderate,Yes,No,27.3,High,Moderate,Poor,South,Middle,Primary,Average,Never,No,None,2003,Alive
+P101544,73,Male,Current,4,19,Low,Asbestos,High,No,No,26.0,High,High,Good,West,Middle,Secondary,Poor,Never,No,None,2013,Alive
+P101545,59,Male,Former,41,39,Low,Silica,Low,No,No,20.0,High,High,Good,South,Low,Primary,Good,Never,No,None,2005,Alive
+P101546,68,Male,Current,44,34,Medium,None,Moderate,No,No,27.8,Low,Moderate,Average,East,High,Secondary,Average,Occasionally,No,None,2005,Alive
+P101547,35,Female,Current,25,30,Low,Silica,High,No,No,24.5,Moderate,None,Average,North,Low,Tertiary,Poor,Occasionally,No,None,2008,Alive
+P101548,70,Female,Never,13,30,Low,Diesel Fumes,Moderate,No,No,21.2,Moderate,None,Good,South,High,Primary,Good,Occasionally,No,None,2004,Alive
+P101549,33,Female,Never,38,37,Medium,Diesel Fumes,Low,No,No,17.9,Low,Moderate,Average,South,Middle,Secondary,Poor,Never,Yes,None,2006,Alive
+P101550,27,Male,Never,28,21,Medium,None,High,Yes,No,20.9,Low,High,Good,South,Low,Secondary,Average,Regularly,No,None,2012,Deceased
+P101551,50,Male,Former,5,8,Medium,Diesel Fumes,Moderate,Yes,No,28.8,Low,Moderate,Average,East,Low,Tertiary,Poor,Regularly,No,None,2000,Deceased
+P101552,72,Female,Never,6,8,Medium,None,Moderate,Yes,No,33.8,Low,Moderate,Good,East,Low,Tertiary,Average,Regularly,Yes,None,2023,Alive
+P101553,52,Male,Never,36,14,High,Asbestos,Moderate,Yes,No,25.6,High,Moderate,Poor,South,High,Secondary,Average,Regularly,No,Stage II,2001,Alive
+P101554,50,Female,Current,17,12,Medium,Diesel Fumes,Low,No,No,20.0,Moderate,None,Good,North,Middle,Secondary,Good,Occasionally,No,None,2019,Deceased
+P101555,49,Male,Current,22,21,Low,Asbestos,High,Yes,No,27.1,Moderate,High,Poor,East,High,Secondary,Average,Regularly,No,None,2009,Alive
+P101556,36,Male,Former,43,15,High,Silica,Moderate,Yes,No,30.4,Moderate,Moderate,Good,North,Middle,Secondary,Average,Occasionally,No,None,2022,Alive
+P101557,29,Female,Former,37,31,High,Diesel Fumes,Moderate,No,No,34.6,High,None,Poor,West,High,Secondary,Good,Regularly,No,None,2005,Alive
+P101558,72,Male,Never,0,1,Low,Silica,High,Yes,No,31.3,Moderate,None,Average,North,Middle,Secondary,Good,Regularly,Yes,None,2003,Alive
+P101559,61,Male,Current,3,25,High,Silica,Low,Yes,No,26.1,Low,High,Poor,East,High,Tertiary,Average,Occasionally,Yes,None,2007,Deceased
+P101560,68,Female,Current,43,13,Low,None,Low,No,No,27.9,Moderate,Moderate,Average,South,Low,Primary,Average,Occasionally,Yes,None,2013,Deceased
+P101561,39,Female,Never,46,37,High,Silica,Low,Yes,No,21.4,Moderate,High,Good,West,High,Secondary,Good,Regularly,Yes,None,2015,Deceased
+P101562,67,Male,Never,34,33,High,None,Low,Yes,Yes,29.0,High,Moderate,Average,North,Low,Secondary,Good,Never,No,None,2014,Alive
+P101563,72,Female,Current,22,7,Low,None,Low,No,No,29.7,Low,None,Average,South,Low,Tertiary,Poor,Regularly,No,None,2012,Alive
+P101564,70,Male,Current,26,35,Low,None,Moderate,Yes,No,12.5,Low,None,Average,West,Low,Primary,Poor,Regularly,Yes,None,2011,Alive
+P101565,67,Female,Never,25,20,Low,None,Moderate,Yes,No,25.7,Low,High,Good,North,High,Tertiary,Poor,Regularly,No,Stage III,2006,Deceased
+P101566,45,Male,Current,7,27,Low,None,Moderate,Yes,No,32.5,Moderate,Moderate,Poor,South,Low,Tertiary,Good,Occasionally,Yes,None,2014,Alive
+P101567,47,Male,Former,42,5,Medium,Asbestos,High,Yes,No,21.6,Low,High,Average,West,High,Secondary,Good,Regularly,No,None,2005,Deceased
+P101568,71,Female,Former,15,19,Medium,None,Low,Yes,No,14.4,Low,Moderate,Good,East,Middle,Secondary,Good,Never,No,None,2020,Deceased
+P101569,39,Male,Current,40,30,Low,Diesel Fumes,High,No,No,24.9,Moderate,High,Average,North,High,Tertiary,Poor,Regularly,No,Stage I,2020,Alive
+P101570,49,Male,Current,2,32,Medium,None,Low,Yes,No,30.4,High,None,Poor,North,High,Secondary,Average,Never,No,None,2013,Alive
+P101571,60,Female,Former,31,6,Low,Asbestos,Low,Yes,No,27.0,Moderate,High,Average,West,High,Secondary,Average,Never,No,None,2014,Alive
+P101572,75,Female,Current,4,7,Low,Diesel Fumes,High,Yes,No,25.1,High,Moderate,Average,North,Middle,Secondary,Average,Never,No,Stage II,2022,Alive
+P101573,39,Male,Former,19,8,High,Diesel Fumes,Moderate,No,No,20.4,High,High,Average,South,Middle,Primary,Good,Regularly,No,None,2010,Deceased
+P101574,45,Female,Current,13,1,Low,Asbestos,High,No,No,19.5,Low,Moderate,Poor,North,Middle,Primary,Average,Occasionally,No,None,2021,Alive
+P101575,37,Female,Former,31,16,Low,Diesel Fumes,Moderate,No,No,25.9,Low,High,Poor,North,Low,Secondary,Average,Occasionally,No,Stage I,2003,Deceased
+P101576,43,Male,Current,25,36,Low,Asbestos,Low,Yes,No,24.7,Moderate,Moderate,Good,South,High,Tertiary,Good,Regularly,No,None,2022,Alive
+P101577,58,Male,Current,46,16,Low,Silica,Moderate,Yes,No,29.3,High,Moderate,Average,South,High,Primary,Good,Regularly,No,None,2004,Alive
+P101578,76,Female,Never,5,37,High,Silica,Low,Yes,No,27.2,Moderate,Moderate,Average,East,Low,Tertiary,Good,Never,No,Stage IV,2022,Alive
+P101579,51,Female,Current,35,34,Low,None,Low,Yes,No,21.3,Low,High,Average,South,Low,Secondary,Good,Regularly,No,None,2022,Alive
+P101580,53,Female,Current,39,38,High,None,Moderate,Yes,No,26.3,High,High,Average,North,High,Tertiary,Good,Occasionally,Yes,None,2001,Alive
+P101581,52,Male,Current,4,29,Low,None,Low,No,Yes,25.5,Low,None,Poor,West,Low,Tertiary,Poor,Regularly,No,None,2019,Alive
+P101582,59,Male,Never,12,5,High,None,Moderate,Yes,No,16.7,Low,Moderate,Poor,North,Low,Primary,Good,Regularly,No,Stage II,2014,Alive
+P101583,32,Male,Current,31,3,Medium,Asbestos,High,Yes,No,22.9,Low,None,Average,East,Middle,Tertiary,Average,Regularly,No,Stage IV,2009,Alive
+P101584,40,Male,Current,15,36,High,Silica,Low,No,No,25.3,High,None,Average,West,Low,Tertiary,Average,Never,No,None,2003,Alive
+P101585,60,Male,Never,0,34,High,Asbestos,Low,No,No,24.4,High,Moderate,Average,East,Low,Primary,Poor,Regularly,Yes,None,2022,Alive
+P101586,54,Male,Current,12,8,Low,Diesel Fumes,High,No,No,26.6,Low,None,Average,North,High,Secondary,Good,Regularly,No,None,2007,Alive
+P101587,42,Male,Never,10,5,High,Diesel Fumes,Low,No,No,25.4,High,High,Good,South,Low,Tertiary,Average,Regularly,Yes,Stage IV,2010,Alive
+P101588,26,Female,Never,7,12,High,Diesel Fumes,High,No,No,26.7,Low,None,Good,West,Low,Secondary,Average,Occasionally,No,None,2016,Alive
+P101589,73,Female,Former,24,21,Low,Diesel Fumes,High,Yes,No,25.8,Low,High,Average,North,Low,Secondary,Good,Never,No,Stage I,2006,Alive
+P101590,28,Male,Former,39,27,Medium,Diesel Fumes,Low,Yes,No,24.9,Low,Moderate,Average,West,Middle,Secondary,Poor,Never,No,None,2010,Alive
+P101591,31,Male,Current,31,29,Medium,Silica,High,Yes,No,25.8,High,Moderate,Average,East,High,Primary,Good,Occasionally,Yes,None,2021,Alive
+P101592,63,Male,Never,23,35,Medium,Asbestos,High,Yes,No,23.2,Moderate,Moderate,Good,North,Middle,Secondary,Good,Never,No,None,2009,Alive
+P101593,37,Female,Current,27,1,High,Diesel Fumes,High,Yes,Yes,22.9,Moderate,None,Poor,West,Low,Tertiary,Good,Occasionally,Yes,None,2000,Alive
+P101594,55,Male,Never,13,35,Low,None,Low,No,No,25.5,High,Moderate,Good,North,High,Secondary,Good,Never,No,None,2007,Alive
+P101595,87,Female,Never,44,7,Medium,Silica,High,Yes,No,15.0,High,Moderate,Good,North,High,Secondary,Good,Never,No,Stage II,2004,Alive
+P101596,80,Female,Never,2,8,Medium,None,Moderate,Yes,No,23.1,Low,High,Average,East,Low,Secondary,Poor,Never,No,None,2012,Alive
+P101597,66,Female,Former,35,0,Medium,Silica,Moderate,No,No,21.5,Low,None,Average,East,Middle,Tertiary,Average,Regularly,No,Stage III,2006,Deceased
+P101598,85,Female,Current,26,12,Medium,Silica,High,No,No,20.9,Moderate,None,Poor,East,Low,Secondary,Good,Never,No,None,2023,Alive
+P101599,66,Female,Current,19,14,Low,None,Moderate,Yes,No,23.4,Low,Moderate,Average,South,Middle,Secondary,Average,Regularly,No,None,2022,Alive
+P101600,80,Male,Current,46,31,Medium,None,Low,Yes,No,18.3,Moderate,None,Average,West,Low,Secondary,Average,Regularly,No,None,2010,Alive
+P101601,60,Male,Never,14,33,High,Diesel Fumes,High,No,No,23.4,Moderate,Moderate,Poor,East,High,Primary,Good,Regularly,No,Stage II,2011,Alive
+P101602,31,Female,Former,26,30,High,None,Low,Yes,No,26.2,High,High,Average,South,High,Tertiary,Average,Occasionally,Yes,None,2013,Alive
+P101603,78,Male,Former,44,13,Low,Asbestos,Moderate,No,No,30.3,High,None,Average,South,Middle,Primary,Good,Never,No,None,2011,Alive
+P101604,25,Female,Former,40,13,Medium,Silica,Moderate,Yes,No,36.0,High,None,Average,West,Low,Tertiary,Good,Never,No,None,2000,Alive
+P101605,68,Female,Never,27,28,Medium,Silica,Moderate,No,No,15.9,Moderate,High,Good,West,Middle,Secondary,Good,Never,No,None,2005,Alive
+P101606,69,Male,Current,24,18,High,Diesel Fumes,Moderate,No,No,20.3,High,None,Average,East,High,Tertiary,Poor,Regularly,No,None,2010,Alive
+P101607,71,Male,Former,41,26,Low,Silica,Low,No,No,23.4,Moderate,Moderate,Good,South,High,Tertiary,Good,Never,No,None,2010,Alive
+P101608,37,Male,Current,43,8,High,None,High,Yes,No,25.7,High,None,Average,West,Middle,Tertiary,Good,Regularly,No,None,2011,Alive
+P101609,46,Male,Former,45,36,Low,Silica,Low,No,No,26.8,Moderate,None,Average,West,Middle,Tertiary,Average,Regularly,No,None,2000,Alive
+P101610,45,Male,Never,32,36,Low,Silica,High,No,No,21.9,Low,High,Good,West,Middle,Primary,Poor,Regularly,No,None,2019,Alive
+P101611,33,Female,Current,45,27,Low,None,Moderate,Yes,No,12.4,Low,High,Good,West,Middle,Tertiary,Average,Regularly,No,None,2019,Alive
+P101612,50,Male,Never,13,23,High,None,Moderate,Yes,No,30.2,Moderate,Moderate,Average,South,Middle,Primary,Average,Never,No,None,2023,Alive
+P101613,33,Male,Current,7,27,Low,Silica,Moderate,Yes,No,27.5,Moderate,None,Poor,North,Low,Primary,Good,Regularly,Yes,None,2005,Alive
+P101614,39,Male,Current,47,35,High,Asbestos,Moderate,No,No,28.6,Low,None,Average,West,Middle,Secondary,Poor,Occasionally,No,None,2022,Alive
+P101615,34,Female,Never,13,17,High,None,Low,No,No,23.9,Moderate,High,Good,South,Middle,Tertiary,Poor,Occasionally,No,None,2012,Alive
+P101616,66,Male,Current,0,24,Medium,Asbestos,High,No,No,26.8,Moderate,Moderate,Average,West,High,Secondary,Good,Occasionally,No,None,2011,Alive
+P101617,48,Female,Former,15,34,High,Asbestos,High,Yes,No,15.0,Low,None,Average,South,High,Tertiary,Poor,Regularly,No,None,2009,Alive
+P101618,73,Male,Never,17,3,High,Diesel Fumes,Moderate,Yes,No,19.6,Moderate,Moderate,Good,East,Low,Primary,Good,Never,No,None,2022,Alive
+P101619,50,Male,Current,6,13,Medium,Asbestos,Low,No,No,31.0,High,None,Poor,North,Middle,Primary,Poor,Never,No,None,2006,Alive
+P101620,61,Female,Never,14,38,Medium,Diesel Fumes,Moderate,Yes,No,25.2,Low,High,Poor,South,Middle,Primary,Poor,Regularly,Yes,None,2009,Alive
+P101621,74,Male,Current,23,25,Medium,Asbestos,High,Yes,No,34.3,High,High,Good,South,High,Tertiary,Good,Regularly,Yes,Stage I,2017,Alive
+P101622,48,Male,Current,48,7,Low,Diesel Fumes,High,No,No,20.1,Moderate,High,Good,South,High,Tertiary,Poor,Regularly,No,None,2005,Alive
+P101623,43,Female,Current,12,23,Low,None,Low,No,No,37.8,Moderate,High,Average,West,High,Tertiary,Poor,Occasionally,No,None,2023,Alive
+P101624,84,Male,Former,8,15,Medium,Silica,High,Yes,No,38.5,High,High,Good,East,Middle,Tertiary,Poor,Regularly,No,None,2007,Alive
+P101625,63,Female,Former,14,19,Low,Silica,Low,No,No,21.8,Moderate,High,Good,West,Middle,Tertiary,Average,Regularly,No,None,2019,Alive
+P101626,42,Female,Current,34,14,Medium,Diesel Fumes,Moderate,Yes,No,22.7,Moderate,Moderate,Average,East,Low,Secondary,Good,Never,No,Stage III,2022,Deceased
+P101627,43,Female,Never,23,6,Low,None,Moderate,Yes,No,31.3,High,High,Average,North,High,Tertiary,Average,Never,No,None,2008,Alive
+P101628,60,Female,Former,32,16,High,Diesel Fumes,Low,No,Yes,22.2,Moderate,Moderate,Average,West,High,Secondary,Poor,Occasionally,No,None,2015,Alive
+P101629,79,Female,Former,15,21,Low,Diesel Fumes,Moderate,No,No,23.7,Low,High,Poor,South,High,Tertiary,Poor,Occasionally,No,None,2023,Alive
+P101630,71,Male,Never,7,21,Low,None,Low,Yes,No,21.3,High,None,Poor,North,High,Tertiary,Average,Occasionally,No,None,2001,Alive
+P101631,73,Male,Former,28,11,High,Asbestos,Moderate,Yes,No,21.5,High,None,Good,West,High,Tertiary,Poor,Occasionally,No,Stage III,2010,Alive
+P101632,57,Male,Current,22,17,Medium,Asbestos,Moderate,No,No,25.6,High,None,Average,East,Middle,Tertiary,Poor,Regularly,No,None,2023,Alive
+P101633,45,Female,Current,44,14,Low,None,High,Yes,No,23.6,High,Moderate,Good,West,Middle,Primary,Good,Regularly,No,Stage I,2018,Alive
+P101634,46,Female,Never,30,36,Low,Diesel Fumes,High,Yes,No,14.6,Low,High,Good,West,High,Primary,Poor,Occasionally,No,None,2003,Alive
+P101635,72,Female,Never,39,15,High,Silica,Low,Yes,No,32.2,High,Moderate,Poor,South,High,Secondary,Good,Occasionally,No,Stage I,2002,Alive
+P101636,61,Female,Never,48,4,High,Diesel Fumes,Moderate,Yes,No,33.0,High,High,Poor,South,Middle,Secondary,Good,Never,No,None,2014,Alive
+P101637,39,Male,Current,13,1,High,Asbestos,Moderate,Yes,No,27.6,Moderate,None,Good,North,Middle,Tertiary,Average,Never,No,None,2007,Deceased
+P101638,59,Male,Never,29,27,High,None,Moderate,No,Yes,25.6,High,Moderate,Average,South,Low,Tertiary,Average,Never,No,None,2003,Alive
+P101639,56,Female,Current,38,26,Medium,None,High,Yes,No,20.3,Moderate,High,Poor,West,Middle,Tertiary,Poor,Occasionally,No,Stage IV,2010,Alive
+P101640,35,Female,Never,26,30,Low,None,Low,Yes,No,22.7,High,Moderate,Poor,West,Low,Tertiary,Average,Never,No,None,2016,Alive
+P101641,34,Male,Current,46,35,Low,Asbestos,Low,No,No,30.4,High,Moderate,Poor,East,High,Primary,Good,Occasionally,No,None,2008,Deceased
+P101642,81,Female,Former,15,0,Low,Diesel Fumes,Low,No,Yes,28.0,Low,None,Good,West,High,Secondary,Average,Regularly,Yes,None,2024,Alive
+P101643,49,Female,Current,5,28,Low,None,Moderate,No,No,27.3,Moderate,None,Poor,North,High,Secondary,Good,Occasionally,No,Stage II,2000,Deceased
+P101644,26,Female,Never,32,0,Medium,Silica,Low,Yes,No,27.5,Low,None,Average,North,Middle,Secondary,Average,Regularly,No,Stage II,2007,Alive
+P101645,88,Male,Current,43,7,Low,None,High,Yes,Yes,30.3,Moderate,None,Poor,South,Middle,Primary,Poor,Regularly,No,None,2001,Alive
+P101646,59,Male,Never,17,15,Medium,Diesel Fumes,High,No,No,29.6,High,None,Good,East,High,Tertiary,Average,Occasionally,Yes,Stage III,2022,Alive
+P101647,31,Female,Current,15,27,Medium,Asbestos,Low,No,No,28.4,Low,High,Good,West,High,Primary,Poor,Never,No,None,2012,Alive
+P101648,42,Male,Current,11,21,High,Silica,Moderate,No,No,23.3,Moderate,High,Good,South,Low,Primary,Average,Occasionally,No,Stage II,2000,Alive
+P101649,66,Female,Never,19,17,High,Silica,High,No,No,33.4,Moderate,None,Good,West,Middle,Secondary,Good,Never,No,Stage III,2021,Alive
+P101650,63,Female,Current,44,21,Low,None,High,No,No,22.6,Low,None,Average,North,Middle,Primary,Average,Regularly,No,None,2009,Deceased
+P101651,65,Male,Former,39,11,Medium,Diesel Fumes,Moderate,Yes,No,20.7,Moderate,None,Good,North,Low,Secondary,Average,Regularly,No,None,2011,Alive
+P101652,48,Female,Never,28,18,High,None,Moderate,No,No,22.2,High,Moderate,Poor,East,High,Primary,Good,Regularly,Yes,None,2010,Deceased
+P101653,84,Female,Former,29,24,Medium,Silica,Low,Yes,No,19.0,Moderate,None,Average,West,High,Secondary,Good,Regularly,No,Stage I,2009,Alive
+P101654,70,Male,Never,25,4,High,None,High,Yes,No,27.9,High,High,Good,West,Middle,Secondary,Average,Occasionally,Yes,None,2013,Alive
+P101655,43,Female,Current,21,33,Medium,Diesel Fumes,High,No,No,24.9,Moderate,High,Good,North,Middle,Tertiary,Good,Regularly,No,None,2013,Alive
+P101656,66,Female,Current,32,38,Low,Asbestos,Low,No,No,30.6,Low,Moderate,Average,East,High,Secondary,Good,Never,No,None,2007,Alive
+P101657,56,Female,Never,38,9,Low,Silica,Low,No,No,12.8,High,High,Poor,South,Low,Primary,Average,Never,No,None,2010,Deceased
+P101658,63,Male,Former,46,6,Medium,Diesel Fumes,High,No,No,26.1,Moderate,None,Average,East,Low,Secondary,Poor,Regularly,No,Stage II,2021,Alive
+P101659,60,Female,Current,28,36,High,None,High,No,No,23.7,High,Moderate,Poor,South,Low,Primary,Average,Occasionally,Yes,None,2008,Alive
+P101660,60,Male,Current,21,14,High,Silica,Moderate,Yes,No,23.3,Low,Moderate,Poor,South,Middle,Secondary,Average,Regularly,No,None,2014,Deceased
+P101661,27,Female,Former,44,23,Low,None,Moderate,No,No,19.8,Moderate,High,Good,North,Low,Tertiary,Poor,Regularly,Yes,Stage IV,2000,Alive
+P101662,32,Female,Current,12,25,Low,None,High,No,No,25.2,Moderate,None,Average,South,Middle,Tertiary,Average,Never,No,None,2024,Deceased
+P101663,65,Female,Former,8,25,Low,Asbestos,High,Yes,No,21.2,High,None,Average,West,Middle,Primary,Average,Occasionally,No,None,2018,Alive
+P101664,37,Female,Former,23,25,High,None,Moderate,No,No,32.6,Low,None,Good,North,High,Secondary,Good,Occasionally,No,Stage III,2017,Alive
+P101665,73,Male,Current,14,9,High,None,Low,No,No,28.1,Low,Moderate,Good,East,High,Primary,Average,Never,No,None,2011,Alive
+P101666,84,Male,Former,35,16,Low,Diesel Fumes,Low,No,Yes,29.9,Moderate,High,Poor,East,Low,Tertiary,Poor,Never,No,None,2007,Alive
+P101667,26,Female,Former,12,13,Medium,None,High,Yes,No,16.3,High,High,Good,South,Low,Primary,Poor,Never,No,None,2004,Alive
+P101668,84,Female,Former,26,1,High,Asbestos,High,No,No,29.4,Moderate,High,Average,West,Middle,Primary,Good,Occasionally,No,Stage IV,2012,Alive
+P101669,29,Female,Current,43,12,Low,None,Moderate,No,No,29.0,Moderate,None,Good,East,High,Secondary,Average,Never,No,None,2016,Alive
+P101670,68,Female,Current,36,26,Medium,None,High,No,No,23.0,High,Moderate,Good,South,High,Tertiary,Average,Never,Yes,None,2000,Alive
+P101671,51,Female,Former,6,8,High,None,Low,No,Yes,24.1,Low,Moderate,Good,East,Middle,Tertiary,Average,Never,No,Stage I,2001,Alive
+P101672,56,Female,Former,7,6,Medium,Silica,Moderate,Yes,No,20.1,Moderate,High,Good,West,Low,Secondary,Average,Regularly,No,None,2006,Alive
+P101673,45,Female,Former,36,9,Medium,Asbestos,Moderate,No,No,23.5,Moderate,High,Good,South,Low,Secondary,Poor,Occasionally,Yes,None,2001,Alive
+P101674,32,Female,Former,40,8,High,Silica,Low,Yes,No,27.8,High,Moderate,Poor,West,Middle,Secondary,Poor,Occasionally,No,None,2024,Alive
+P101675,74,Male,Never,13,21,Low,Asbestos,Low,No,No,21.7,High,High,Good,South,High,Tertiary,Good,Regularly,No,Stage IV,2021,Alive
+P101676,68,Male,Current,11,22,Medium,Asbestos,Moderate,No,No,25.2,Moderate,Moderate,Good,West,Middle,Tertiary,Average,Occasionally,Yes,None,2003,Alive
+P101677,82,Male,Former,35,6,Low,Diesel Fumes,High,No,Yes,37.7,Low,Moderate,Average,East,Middle,Secondary,Poor,Never,No,None,2012,Alive
+P101678,27,Female,Former,39,8,High,Silica,Low,Yes,No,20.1,High,High,Good,East,Low,Primary,Average,Regularly,No,Stage II,2013,Alive
+P101679,26,Female,Never,16,26,Medium,Asbestos,Moderate,No,No,26.7,Moderate,Moderate,Average,West,High,Tertiary,Poor,Never,No,None,2019,Alive
+P101680,68,Female,Never,39,23,Medium,Asbestos,High,No,No,19.8,Low,Moderate,Average,East,Low,Secondary,Poor,Never,No,None,2002,Alive
+P101681,26,Male,Current,28,28,Medium,Diesel Fumes,High,Yes,No,17.6,High,High,Average,East,Low,Secondary,Good,Never,No,None,2008,Alive
+P101682,59,Female,Former,26,16,Medium,Silica,Moderate,No,No,29.0,High,High,Average,South,High,Primary,Average,Never,Yes,None,2017,Alive
+P101683,54,Male,Never,0,19,Medium,None,Low,No,No,23.0,Moderate,High,Poor,West,Low,Secondary,Good,Occasionally,No,None,2024,Alive
+P101684,32,Female,Former,33,6,High,Diesel Fumes,High,No,No,33.0,High,Moderate,Poor,South,Middle,Primary,Good,Regularly,No,None,2015,Alive
+P101685,46,Male,Former,3,39,Medium,Asbestos,Low,No,No,27.8,Moderate,High,Average,East,Middle,Primary,Good,Regularly,No,None,2018,Alive
+P101686,68,Male,Never,23,6,High,Silica,Moderate,Yes,Yes,21.1,High,High,Poor,East,High,Tertiary,Good,Never,No,None,2019,Alive
+P101687,82,Male,Former,20,27,Low,Asbestos,Low,Yes,No,20.6,Low,Moderate,Poor,North,Middle,Secondary,Good,Regularly,No,Stage IV,2008,Deceased
+P101688,60,Female,Former,32,18,High,Diesel Fumes,High,Yes,No,28.6,Low,Moderate,Good,West,Middle,Tertiary,Good,Regularly,No,None,2018,Alive
+P101689,55,Male,Former,6,19,Medium,Diesel Fumes,Moderate,No,No,19.7,High,High,Poor,West,Middle,Tertiary,Good,Never,No,None,2005,Alive
+P101690,71,Female,Former,0,38,Low,Silica,High,No,Yes,19.6,Moderate,High,Average,South,Middle,Tertiary,Average,Never,No,None,2011,Alive
+P101691,79,Female,Former,40,39,High,Diesel Fumes,High,No,No,16.4,High,Moderate,Average,West,Low,Secondary,Good,Occasionally,Yes,None,2014,Alive
+P101692,86,Female,Current,2,6,High,Diesel Fumes,Moderate,No,No,28.1,Moderate,Moderate,Average,South,Middle,Secondary,Average,Occasionally,Yes,None,2020,Alive
+P101693,54,Female,Former,43,5,High,None,Moderate,Yes,No,21.0,High,None,Average,East,High,Secondary,Average,Never,No,None,2005,Alive
+P101694,79,Female,Never,14,24,Medium,Asbestos,Low,No,No,26.8,Low,Moderate,Good,North,Low,Tertiary,Poor,Occasionally,Yes,Stage IV,2004,Alive
+P101695,40,Male,Never,30,12,Medium,None,Moderate,Yes,No,18.5,Moderate,Moderate,Poor,East,Middle,Primary,Good,Occasionally,No,None,2013,Alive
+P101696,36,Female,Former,15,38,High,None,Low,No,No,16.8,Low,None,Average,South,Middle,Tertiary,Average,Regularly,No,None,2018,Alive
+P101697,41,Female,Current,9,39,High,Silica,Moderate,No,No,28.6,Low,High,Good,South,High,Primary,Poor,Never,No,None,2017,Alive
+P101698,40,Female,Never,28,21,Low,Diesel Fumes,High,Yes,No,24.2,Low,None,Average,North,Low,Secondary,Poor,Regularly,Yes,None,2012,Alive
+P101699,36,Female,Current,5,16,Medium,Asbestos,Low,No,No,21.6,High,Moderate,Poor,East,Middle,Secondary,Good,Regularly,No,None,2008,Alive
+P101700,32,Female,Never,28,21,Medium,Asbestos,Moderate,Yes,No,22.6,Moderate,None,Good,West,High,Tertiary,Good,Never,No,None,2019,Alive
+P101701,27,Male,Former,16,33,Low,Asbestos,Low,Yes,No,22.6,Low,None,Poor,North,Low,Primary,Good,Regularly,No,Stage IV,2021,Alive
+P101702,40,Male,Current,21,7,High,Diesel Fumes,Low,No,No,35.2,Moderate,None,Good,West,Low,Secondary,Good,Occasionally,No,Stage I,2024,Alive
+P101703,54,Female,Former,23,17,High,Asbestos,Low,Yes,No,26.3,Moderate,None,Average,East,Middle,Secondary,Average,Occasionally,No,Stage III,2020,Alive
+P101704,47,Male,Former,16,23,Low,Asbestos,High,Yes,No,25.7,Low,None,Average,North,High,Tertiary,Average,Occasionally,Yes,None,2006,Alive
+P101705,29,Male,Never,20,1,High,Diesel Fumes,Moderate,No,No,21.2,High,None,Poor,East,High,Tertiary,Good,Occasionally,No,None,2020,Alive
+P101706,89,Female,Current,49,1,High,Silica,Moderate,Yes,No,28.9,Low,High,Poor,East,Middle,Tertiary,Good,Occasionally,No,None,2011,Alive
+P101707,54,Male,Never,10,26,Low,Asbestos,Low,Yes,No,19.2,Low,None,Good,West,Middle,Primary,Average,Regularly,No,None,2008,Alive
+P101708,45,Female,Current,6,13,Low,Diesel Fumes,Moderate,No,No,27.6,Moderate,None,Poor,West,Middle,Primary,Good,Never,No,None,2001,Alive
+P101709,46,Male,Never,41,38,Low,None,High,Yes,No,27.6,High,None,Poor,West,High,Secondary,Poor,Regularly,No,Stage II,2002,Alive
+P101710,56,Male,Current,38,11,High,Diesel Fumes,Low,No,No,30.1,Moderate,None,Average,East,Low,Tertiary,Average,Regularly,No,None,2004,Alive
+P101711,57,Male,Former,4,31,Low,None,High,Yes,No,15.2,High,Moderate,Average,South,Middle,Secondary,Poor,Occasionally,No,None,2017,Alive
+P101712,40,Female,Current,43,27,High,Diesel Fumes,High,No,No,30.6,Low,None,Average,East,Middle,Primary,Poor,Occasionally,No,None,2013,Alive
+P101713,62,Male,Former,47,27,Medium,Asbestos,Moderate,No,No,26.8,High,None,Average,South,Low,Secondary,Poor,Regularly,No,Stage I,2021,Alive
+P101714,38,Male,Current,20,24,Medium,Silica,Moderate,No,No,21.2,Moderate,None,Average,North,Low,Secondary,Poor,Regularly,No,None,2018,Alive
+P101715,60,Female,Never,17,3,Low,Silica,Low,No,No,14.2,Low,High,Average,West,High,Tertiary,Good,Never,No,None,2020,Deceased
+P101716,47,Female,Never,34,25,High,Asbestos,High,No,No,23.0,High,None,Average,West,Middle,Secondary,Good,Never,No,None,2004,Deceased
+P101717,26,Male,Former,19,35,High,None,Moderate,Yes,No,25.9,High,Moderate,Good,East,High,Tertiary,Good,Never,No,None,2009,Deceased
+P101718,89,Female,Never,14,2,High,Diesel Fumes,Low,No,No,17.4,Moderate,High,Average,South,Low,Secondary,Good,Never,No,Stage III,2015,Alive
+P101719,76,Male,Never,4,0,Low,Asbestos,Low,No,No,20.7,High,Moderate,Average,North,Middle,Secondary,Average,Never,Yes,None,2023,Alive
+P101720,86,Male,Current,12,16,High,Diesel Fumes,Moderate,Yes,No,18.7,Low,High,Average,East,High,Primary,Good,Occasionally,Yes,Stage II,2024,Alive
+P101721,47,Female,Current,11,6,High,Asbestos,High,No,No,22.8,High,High,Average,North,High,Primary,Average,Never,No,None,2019,Alive
+P101722,50,Female,Former,20,4,High,Asbestos,Low,Yes,No,19.6,Moderate,None,Average,South,Low,Secondary,Poor,Regularly,No,None,2000,Alive
+P101723,79,Female,Current,36,18,Medium,Diesel Fumes,Moderate,Yes,No,35.9,High,None,Poor,West,Middle,Secondary,Average,Occasionally,No,None,2020,Alive
+P101724,30,Male,Former,5,38,High,Silica,Low,No,Yes,29.3,Low,High,Poor,West,High,Tertiary,Good,Regularly,No,None,2003,Alive
+P101725,59,Female,Never,6,33,Medium,Silica,Moderate,Yes,No,19.5,Low,None,Average,South,High,Primary,Poor,Occasionally,No,None,2004,Deceased
+P101726,46,Male,Current,25,34,High,None,Low,Yes,No,20.2,High,None,Average,West,Low,Primary,Poor,Occasionally,No,None,2010,Alive
+P101727,67,Female,Current,41,15,High,Diesel Fumes,High,Yes,No,17.6,High,High,Average,East,Middle,Secondary,Good,Never,No,None,2013,Alive
+P101728,39,Male,Current,47,39,High,None,Low,No,No,24.2,Low,High,Good,South,Low,Tertiary,Poor,Regularly,No,None,2024,Alive
+P101729,84,Female,Never,7,38,Medium,Asbestos,Moderate,Yes,No,33.9,Moderate,Moderate,Average,West,High,Primary,Poor,Never,No,None,2023,Alive
+P101730,36,Male,Current,8,26,High,None,Moderate,No,No,31.0,Low,High,Good,South,Middle,Secondary,Poor,Regularly,Yes,None,2010,Alive
+P101731,73,Female,Never,26,37,Low,Asbestos,Moderate,No,No,26.0,High,Moderate,Good,North,Low,Secondary,Average,Regularly,No,None,2023,Alive
+P101732,66,Male,Never,3,24,High,Diesel Fumes,High,Yes,No,23.5,High,Moderate,Average,East,Middle,Secondary,Poor,Never,No,None,2007,Alive
+P101733,62,Female,Never,20,25,Medium,Diesel Fumes,Moderate,No,No,27.8,Moderate,None,Poor,East,Middle,Secondary,Poor,Never,No,None,2000,Alive
+P101734,69,Female,Current,30,13,Medium,Diesel Fumes,Moderate,Yes,No,26.4,Low,None,Average,East,Middle,Secondary,Average,Occasionally,No,Stage I,2006,Alive
+P101735,59,Male,Current,20,13,Low,Diesel Fumes,High,Yes,No,27.2,Low,High,Average,West,High,Primary,Good,Occasionally,No,None,2012,Deceased
+P101736,54,Female,Current,39,13,Low,None,Moderate,No,No,26.0,Moderate,High,Poor,North,Middle,Primary,Average,Occasionally,Yes,Stage I,2019,Alive
+P101737,54,Male,Former,24,24,Low,Asbestos,Moderate,No,No,27.2,Low,Moderate,Poor,West,Low,Tertiary,Average,Regularly,Yes,None,2005,Alive
+P101738,30,Male,Former,38,35,Medium,Silica,High,No,No,17.9,Moderate,Moderate,Average,West,Middle,Secondary,Good,Never,No,None,2003,Deceased
+P101739,31,Female,Never,14,3,High,Diesel Fumes,Low,Yes,No,24.4,Low,None,Average,South,Middle,Tertiary,Good,Occasionally,No,None,2011,Alive
+P101740,76,Male,Never,34,14,High,Diesel Fumes,Moderate,Yes,No,26.2,Moderate,High,Good,East,High,Secondary,Average,Never,No,None,2004,Deceased
+P101741,38,Female,Former,48,31,Low,Asbestos,Low,Yes,No,22.8,Moderate,High,Poor,West,Low,Secondary,Poor,Occasionally,No,Stage III,2004,Deceased
+P101742,39,Female,Current,42,17,Low,Silica,High,No,No,18.8,Moderate,High,Good,East,Middle,Secondary,Good,Occasionally,No,None,2016,Deceased
+P101743,45,Male,Former,40,13,High,Diesel Fumes,Moderate,Yes,Yes,25.0,High,High,Good,North,High,Tertiary,Poor,Never,No,None,2005,Deceased
+P101744,59,Female,Never,36,0,Low,Silica,Moderate,Yes,No,45.7,High,None,Good,North,High,Secondary,Good,Occasionally,No,None,2009,Alive
+P101745,26,Male,Never,41,19,High,Diesel Fumes,High,Yes,Yes,20.9,High,None,Good,East,Middle,Tertiary,Poor,Never,Yes,Stage II,2015,Alive
+P101746,59,Male,Never,46,9,High,None,Moderate,Yes,No,24.3,Low,Moderate,Poor,East,Middle,Primary,Average,Occasionally,No,None,2023,Alive
+P101747,44,Female,Former,27,9,High,None,Low,No,No,31.3,Moderate,None,Poor,North,Middle,Secondary,Average,Never,Yes,Stage I,2020,Alive
+P101748,34,Female,Current,13,23,High,Silica,Low,Yes,No,33.9,Low,Moderate,Poor,North,High,Tertiary,Average,Occasionally,No,None,2013,Alive
+P101749,49,Male,Current,3,33,Medium,Asbestos,High,No,No,22.1,Low,None,Average,West,Middle,Primary,Average,Occasionally,No,None,2009,Alive
+P101750,49,Male,Current,19,27,High,Asbestos,Moderate,Yes,No,29.8,Moderate,None,Good,North,High,Secondary,Good,Regularly,No,None,2021,Alive
+P101751,78,Female,Former,33,26,Low,None,Moderate,Yes,No,29.0,High,High,Average,West,Low,Primary,Average,Never,No,None,2020,Alive
+P101752,57,Female,Former,11,39,Low,Asbestos,High,Yes,No,22.5,Low,Moderate,Poor,North,Middle,Secondary,Poor,Occasionally,Yes,None,2016,Alive
+P101753,60,Female,Never,32,0,Low,Asbestos,Low,No,No,28.1,Low,Moderate,Poor,West,Low,Tertiary,Average,Regularly,No,None,2004,Alive
+P101754,38,Female,Current,23,32,Low,Asbestos,Low,No,No,24.1,Low,Moderate,Average,South,Low,Secondary,Average,Never,No,None,2001,Deceased
+P101755,89,Male,Current,19,3,Medium,Silica,High,No,No,21.9,High,None,Good,South,Low,Secondary,Average,Occasionally,No,None,2003,Alive
+P101756,78,Female,Never,4,6,High,Silica,Moderate,Yes,No,33.6,Moderate,High,Poor,West,High,Tertiary,Average,Occasionally,No,None,2017,Alive
+P101757,76,Male,Former,37,8,High,Asbestos,Low,Yes,No,28.2,Moderate,None,Good,East,High,Tertiary,Good,Occasionally,Yes,None,2007,Deceased
+P101758,27,Male,Former,29,15,Low,None,Moderate,No,No,16.6,Low,High,Good,South,High,Tertiary,Good,Never,No,Stage IV,2013,Alive
+P101759,65,Female,Current,23,4,Low,Asbestos,Low,Yes,No,24.4,Moderate,None,Poor,North,High,Secondary,Good,Regularly,Yes,Stage I,2012,Alive
+P101760,30,Male,Current,42,33,Low,Diesel Fumes,Moderate,Yes,Yes,22.4,High,Moderate,Average,East,Low,Primary,Poor,Occasionally,Yes,None,2006,Alive
+P101761,49,Female,Former,39,22,High,None,Low,No,No,23.9,Moderate,None,Good,North,High,Tertiary,Poor,Regularly,No,Stage III,2008,Alive
+P101762,37,Male,Former,6,24,Medium,Silica,Moderate,Yes,No,27.6,Low,Moderate,Average,South,Low,Primary,Average,Never,No,Stage III,2003,Alive
+P101763,32,Female,Never,35,12,Medium,Diesel Fumes,High,Yes,Yes,26.5,Low,High,Good,North,Low,Tertiary,Poor,Never,No,None,2004,Alive
+P101764,45,Male,Never,37,23,Medium,Asbestos,Low,Yes,No,32.2,Moderate,Moderate,Good,West,High,Tertiary,Poor,Occasionally,No,None,2014,Alive
+P101765,49,Male,Never,15,10,Medium,Asbestos,High,No,No,31.1,Low,Moderate,Poor,East,Low,Secondary,Poor,Occasionally,Yes,None,2008,Alive
+P101766,69,Female,Never,14,16,Low,None,Low,Yes,No,18.9,High,Moderate,Average,South,High,Tertiary,Poor,Occasionally,No,Stage III,2024,Alive
+P101767,84,Female,Current,45,36,High,None,Low,No,No,24.5,High,Moderate,Good,East,Low,Primary,Good,Regularly,No,Stage I,2017,Alive
+P101768,36,Male,Current,22,12,Low,Asbestos,Low,Yes,No,15.3,High,High,Average,West,Middle,Secondary,Good,Regularly,No,None,2013,Alive
+P101769,56,Male,Never,11,26,Medium,Asbestos,Moderate,No,No,20.0,High,None,Good,South,High,Tertiary,Poor,Occasionally,No,None,2014,Deceased
+P101770,37,Female,Current,28,19,Low,None,Low,No,No,14.5,Low,None,Average,North,Low,Primary,Poor,Never,Yes,None,2000,Alive
+P101771,55,Male,Never,43,32,Medium,Diesel Fumes,High,No,No,17.2,Low,None,Average,East,High,Secondary,Good,Never,No,None,2018,Deceased
+P101772,44,Female,Former,47,31,High,Silica,Moderate,No,No,32.0,Moderate,None,Poor,South,Low,Primary,Average,Occasionally,No,None,2000,Alive
+P101773,42,Male,Never,14,7,Medium,None,Moderate,Yes,No,28.8,Low,Moderate,Good,South,High,Secondary,Good,Regularly,No,None,2005,Alive
+P101774,84,Female,Former,28,28,Low,Diesel Fumes,Low,No,No,28.1,Moderate,High,Good,West,Middle,Secondary,Poor,Never,No,None,2007,Alive
+P101775,87,Male,Never,44,39,High,Asbestos,Moderate,Yes,No,30.9,Low,High,Good,South,Middle,Secondary,Poor,Regularly,No,None,2003,Alive
+P101776,30,Female,Former,42,18,Medium,Silica,Low,Yes,No,28.1,Moderate,None,Good,South,High,Tertiary,Poor,Occasionally,No,Stage III,2015,Alive
+P101777,56,Female,Former,48,5,Medium,Diesel Fumes,High,No,No,24.6,Moderate,None,Poor,West,High,Secondary,Good,Regularly,No,None,2010,Alive
+P101778,67,Male,Current,20,38,High,Silica,Moderate,Yes,No,22.1,High,High,Poor,North,Low,Tertiary,Poor,Regularly,No,None,2003,Alive
+P101779,26,Female,Never,14,20,Low,Silica,Moderate,Yes,No,33.5,Moderate,High,Good,North,Low,Tertiary,Good,Regularly,No,None,2010,Alive
+P101780,84,Male,Never,13,21,High,Silica,High,Yes,No,31.5,Moderate,Moderate,Average,South,High,Tertiary,Average,Never,No,None,2009,Alive
+P101781,47,Female,Never,41,9,Low,Diesel Fumes,High,Yes,No,23.9,Moderate,High,Poor,North,Middle,Tertiary,Poor,Regularly,No,None,2016,Alive
+P101782,55,Female,Current,43,9,Medium,Diesel Fumes,Low,No,No,28.8,Moderate,High,Average,West,Middle,Secondary,Poor,Regularly,Yes,Stage II,2008,Alive
+P101783,29,Female,Never,15,28,Medium,Asbestos,Moderate,Yes,No,11.0,Moderate,Moderate,Average,North,High,Tertiary,Average,Regularly,No,None,2009,Deceased
+P101784,58,Male,Current,14,15,High,Silica,High,Yes,No,29.1,High,Moderate,Average,South,Low,Primary,Good,Occasionally,Yes,None,2007,Alive
+P101785,34,Female,Former,41,0,Medium,None,Moderate,Yes,No,22.5,Moderate,Moderate,Good,West,High,Primary,Poor,Regularly,Yes,None,2013,Alive
+P101786,26,Male,Former,3,16,High,None,High,Yes,Yes,38.6,Moderate,High,Poor,North,High,Secondary,Poor,Regularly,No,None,2012,Alive
+P101787,35,Female,Former,26,29,Medium,None,Moderate,Yes,No,30.8,Moderate,High,Good,East,Middle,Tertiary,Poor,Never,Yes,None,2002,Alive
+P101788,74,Male,Never,22,25,Medium,Diesel Fumes,High,No,No,15.1,Low,High,Average,East,Middle,Primary,Poor,Occasionally,Yes,Stage III,2013,Alive
+P101789,55,Male,Never,28,18,Low,Asbestos,Moderate,Yes,No,21.4,Low,Moderate,Good,West,Low,Primary,Average,Regularly,No,None,2013,Deceased
+P101790,80,Male,Former,40,20,High,Diesel Fumes,Low,No,No,25.3,High,High,Average,North,Low,Tertiary,Good,Never,No,None,2002,Alive
+P101791,33,Female,Former,8,16,High,Silica,Moderate,Yes,No,24.8,Moderate,High,Good,South,High,Tertiary,Average,Never,Yes,None,2015,Deceased
+P101792,45,Male,Never,42,39,Medium,None,Low,No,No,24.6,Moderate,Moderate,Good,East,High,Secondary,Good,Regularly,No,None,2009,Alive
+P101793,52,Female,Never,42,20,Low,Diesel Fumes,Low,Yes,No,29.9,Low,None,Poor,North,High,Primary,Average,Never,No,None,2003,Alive
+P101794,86,Male,Current,6,39,Low,None,Low,Yes,No,22.3,Moderate,None,Poor,North,High,Secondary,Average,Never,No,None,2019,Deceased
+P101795,31,Male,Never,41,18,High,Diesel Fumes,Moderate,No,No,24.6,High,High,Average,South,Middle,Primary,Good,Never,No,None,2017,Alive
+P101796,40,Male,Current,3,6,High,None,Moderate,No,Yes,32.6,Moderate,Moderate,Average,South,Low,Tertiary,Poor,Never,No,None,2003,Alive
+P101797,28,Male,Current,4,16,Medium,Silica,Low,No,No,32.7,High,Moderate,Average,North,Low,Primary,Poor,Regularly,No,None,2001,Alive
+P101798,28,Female,Never,4,0,High,None,High,Yes,Yes,29.9,Low,High,Good,South,Low,Primary,Average,Regularly,No,Stage III,2010,Alive
+P101799,64,Male,Never,10,36,Medium,Silica,Moderate,No,No,23.3,High,High,Average,West,Low,Primary,Average,Never,No,None,2014,Alive
+P101800,41,Male,Never,40,5,Low,Silica,Moderate,No,No,21.5,High,None,Poor,East,Middle,Tertiary,Average,Regularly,No,None,2010,Alive
+P101801,76,Female,Current,27,25,High,Diesel Fumes,Moderate,No,No,24.8,High,Moderate,Average,East,High,Tertiary,Poor,Regularly,No,None,2022,Alive
+P101802,76,Male,Current,15,1,Low,Diesel Fumes,Moderate,Yes,No,25.1,High,High,Average,North,Low,Primary,Good,Never,No,Stage III,2020,Alive
+P101803,60,Male,Current,40,31,Low,Diesel Fumes,Low,Yes,Yes,24.8,High,Moderate,Good,North,Low,Primary,Poor,Never,Yes,None,2022,Alive
+P101804,62,Male,Current,29,4,Medium,Silica,High,Yes,No,27.8,High,High,Poor,South,High,Tertiary,Average,Never,No,Stage III,2005,Alive
+P101805,74,Male,Current,3,36,Low,Asbestos,High,No,No,26.8,High,None,Average,East,Middle,Tertiary,Poor,Regularly,No,None,2017,Alive
+P101806,87,Female,Never,1,30,Medium,Asbestos,High,Yes,No,26.6,High,High,Poor,South,Middle,Tertiary,Poor,Regularly,No,None,2017,Deceased
+P101807,87,Female,Never,45,11,Medium,Silica,High,Yes,No,22.7,High,None,Average,North,Low,Primary,Poor,Occasionally,No,Stage III,2000,Alive
+P101808,86,Male,Current,2,34,Low,Silica,Low,Yes,No,19.0,Low,None,Poor,North,Low,Secondary,Good,Occasionally,No,None,2012,Alive
+P101809,31,Female,Never,49,29,Low,Diesel Fumes,Moderate,Yes,No,28.5,High,High,Average,North,Low,Secondary,Average,Never,No,None,2000,Alive
+P101810,51,Female,Never,20,5,Medium,Diesel Fumes,Moderate,No,No,25.3,High,High,Average,North,Middle,Tertiary,Poor,Occasionally,No,None,2012,Alive
+P101811,38,Male,Current,5,14,Medium,Diesel Fumes,Low,Yes,No,27.0,Moderate,None,Good,North,Low,Secondary,Poor,Regularly,Yes,None,2020,Alive
+P101812,29,Female,Former,42,14,Low,Asbestos,Moderate,No,No,27.2,Moderate,Moderate,Good,North,High,Primary,Average,Occasionally,No,None,2004,Alive
+P101813,79,Male,Current,17,15,Medium,Asbestos,Low,No,No,14.9,Moderate,Moderate,Poor,West,Middle,Secondary,Poor,Occasionally,No,None,2022,Deceased
+P101814,26,Female,Current,43,19,Medium,Silica,High,No,No,33.6,High,None,Poor,West,Middle,Secondary,Poor,Never,No,None,2016,Alive
+P101815,86,Female,Never,4,12,High,Asbestos,Low,No,No,22.2,Low,None,Poor,South,High,Secondary,Poor,Regularly,No,None,2015,Deceased
+P101816,45,Female,Current,8,30,High,Diesel Fumes,Moderate,No,No,31.9,Low,High,Poor,West,High,Tertiary,Poor,Regularly,Yes,None,2020,Alive
+P101817,45,Male,Never,19,33,High,Diesel Fumes,Moderate,No,No,27.1,Moderate,High,Good,South,Middle,Primary,Average,Regularly,No,None,2017,Alive
+P101818,34,Female,Former,27,28,High,Diesel Fumes,Moderate,Yes,No,19.6,Moderate,None,Poor,South,Low,Tertiary,Poor,Regularly,No,None,2009,Alive
+P101819,82,Male,Former,25,2,High,Diesel Fumes,High,No,No,21.5,High,None,Average,West,Middle,Secondary,Good,Occasionally,No,Stage IV,2016,Alive
+P101820,63,Male,Never,17,8,Medium,Diesel Fumes,Low,Yes,No,21.6,Low,Moderate,Average,East,Low,Tertiary,Poor,Never,Yes,None,2006,Alive
+P101821,29,Female,Former,18,10,Medium,None,Low,No,No,21.8,Low,Moderate,Average,South,High,Primary,Good,Occasionally,Yes,None,2014,Alive
+P101822,89,Male,Never,2,10,High,Silica,Moderate,Yes,No,16.2,Moderate,Moderate,Good,North,Low,Primary,Average,Regularly,No,None,2018,Alive
+P101823,37,Female,Former,8,24,Low,Silica,Low,No,No,21.0,Low,None,Poor,South,High,Primary,Poor,Never,Yes,None,2008,Alive
+P101824,77,Male,Former,35,21,High,Asbestos,Moderate,Yes,No,29.8,Moderate,None,Average,South,Low,Primary,Good,Never,No,None,2020,Alive
+P101825,69,Male,Current,30,8,Low,Diesel Fumes,Low,Yes,No,30.3,Moderate,Moderate,Average,East,Low,Secondary,Good,Regularly,Yes,None,2020,Alive
+P101826,56,Female,Current,48,19,Medium,None,High,No,No,21.6,High,Moderate,Good,North,High,Secondary,Poor,Regularly,No,None,2004,Alive
+P101827,60,Female,Never,16,20,Low,Diesel Fumes,High,No,No,15.6,Moderate,High,Good,East,Low,Secondary,Poor,Never,No,Stage IV,2024,Deceased
+P101828,84,Female,Former,22,9,Medium,Diesel Fumes,Low,No,No,28.2,High,High,Good,East,Middle,Secondary,Average,Regularly,No,None,2009,Alive
+P101829,35,Female,Former,33,21,Low,Asbestos,High,No,No,19.6,Low,None,Average,East,Low,Secondary,Average,Regularly,No,Stage III,2012,Alive
+P101830,87,Male,Never,40,28,Medium,None,High,Yes,No,20.0,Low,High,Good,South,Middle,Tertiary,Poor,Regularly,No,None,2000,Deceased
+P101831,45,Male,Current,40,8,Medium,None,High,Yes,No,23.6,Moderate,None,Average,North,High,Primary,Average,Regularly,No,None,2020,Alive
+P101832,76,Male,Current,4,4,High,Silica,Moderate,No,No,23.1,Moderate,None,Poor,North,Low,Secondary,Average,Never,Yes,None,2005,Alive
+P101833,79,Female,Never,14,39,Medium,Diesel Fumes,Low,No,No,21.1,High,None,Average,East,Low,Primary,Average,Never,Yes,None,2024,Alive
+P101834,50,Male,Former,46,10,High,None,Low,Yes,No,21.5,High,Moderate,Poor,West,Middle,Primary,Average,Occasionally,No,None,2002,Deceased
+P101835,58,Female,Never,2,0,High,Silica,Moderate,No,No,22.5,Low,High,Average,North,Middle,Secondary,Poor,Occasionally,Yes,None,2016,Alive
+P101836,76,Male,Current,18,0,High,None,Moderate,Yes,No,21.4,Low,High,Poor,North,High,Secondary,Poor,Never,No,Stage IV,2011,Alive
+P101837,76,Female,Never,27,38,Low,Diesel Fumes,High,No,Yes,21.7,Moderate,High,Average,East,Middle,Primary,Good,Occasionally,No,None,2010,Alive
+P101838,53,Male,Current,2,4,Low,Silica,Low,No,No,23.5,Moderate,High,Average,South,Middle,Primary,Average,Regularly,No,None,2007,Alive
+P101839,62,Male,Current,37,21,Medium,None,Moderate,Yes,No,26.8,High,Moderate,Average,East,Middle,Primary,Poor,Regularly,No,None,2024,Alive
+P101840,66,Female,Former,3,25,High,Asbestos,High,Yes,Yes,26.2,Moderate,High,Average,West,Low,Tertiary,Good,Never,No,None,2011,Alive
+P101841,45,Male,Former,23,5,High,None,Low,No,Yes,22.3,High,High,Good,West,Low,Tertiary,Average,Occasionally,Yes,None,2010,Alive
+P101842,66,Female,Current,30,31,Medium,Diesel Fumes,High,Yes,No,23.4,Low,Moderate,Average,East,Low,Primary,Good,Regularly,Yes,None,2021,Alive
+P101843,37,Male,Former,44,10,High,Asbestos,Low,No,No,31.7,Low,High,Average,West,Low,Tertiary,Average,Occasionally,No,Stage II,2004,Alive
+P101844,88,Male,Never,44,9,Medium,None,High,Yes,No,29.9,Moderate,High,Good,South,Low,Primary,Poor,Never,No,None,2007,Alive
+P101845,41,Female,Former,10,38,High,None,Low,No,No,27.7,High,Moderate,Good,South,Middle,Primary,Good,Never,No,None,2011,Deceased
+P101846,33,Female,Current,36,33,Low,Silica,Low,No,No,16.1,Moderate,Moderate,Good,South,Middle,Secondary,Poor,Occasionally,No,None,2021,Alive
+P101847,65,Male,Current,0,30,Medium,Diesel Fumes,Low,No,No,25.5,Moderate,Moderate,Good,West,Low,Primary,Average,Never,No,None,2005,Alive
+P101848,25,Male,Current,8,11,Medium,None,Low,Yes,No,21.6,High,Moderate,Good,South,Low,Secondary,Average,Regularly,No,None,2008,Alive
+P101849,26,Male,Current,16,15,Low,None,High,Yes,No,20.2,Moderate,None,Good,East,High,Secondary,Average,Regularly,No,Stage II,2024,Deceased
+P101850,84,Male,Current,0,37,Medium,None,Moderate,Yes,No,23.2,High,Moderate,Good,South,High,Primary,Good,Occasionally,No,None,2016,Alive
+P101851,72,Male,Current,2,2,Low,Diesel Fumes,Low,Yes,No,30.2,High,High,Good,West,Middle,Tertiary,Good,Occasionally,No,None,2001,Deceased
+P101852,53,Male,Never,46,1,High,Asbestos,Low,No,No,29.4,Moderate,High,Good,North,High,Primary,Good,Never,No,None,2000,Alive
+P101853,34,Female,Former,25,4,Low,Diesel Fumes,Low,Yes,No,21.9,High,High,Good,West,Middle,Primary,Poor,Never,No,None,2017,Alive
+P101854,82,Female,Current,30,10,Low,Silica,Low,Yes,No,25.4,Low,High,Good,East,High,Tertiary,Good,Occasionally,No,Stage III,2002,Alive
+P101855,84,Female,Current,25,24,Medium,Silica,High,Yes,No,22.9,Low,None,Poor,East,Low,Secondary,Average,Never,No,Stage III,2013,Alive
+P101856,45,Male,Current,22,34,High,Diesel Fumes,Moderate,No,No,23.8,Low,None,Average,West,Low,Tertiary,Poor,Occasionally,Yes,None,2012,Alive
+P101857,52,Male,Never,29,34,Low,None,Moderate,Yes,No,30.0,Low,None,Average,South,Middle,Primary,Average,Occasionally,Yes,None,2001,Alive
+P101858,58,Male,Current,9,21,High,None,Moderate,Yes,No,24.7,Moderate,High,Good,South,Middle,Primary,Average,Regularly,No,None,2021,Alive
+P101859,32,Female,Current,7,36,Low,Asbestos,High,No,No,16.2,Low,High,Good,North,Middle,Tertiary,Good,Never,No,None,2003,Deceased
+P101860,83,Female,Never,43,21,Medium,Diesel Fumes,Moderate,No,No,25.7,Low,Moderate,Poor,South,Middle,Tertiary,Good,Occasionally,Yes,Stage I,2014,Alive
+P101861,73,Male,Former,24,10,Low,Diesel Fumes,High,No,No,34.1,Low,Moderate,Good,East,High,Tertiary,Good,Regularly,No,None,2004,Alive
+P101862,41,Male,Never,21,31,Low,None,High,No,No,21.5,Low,High,Poor,South,Low,Secondary,Average,Occasionally,No,None,2009,Alive
+P101863,84,Female,Former,14,34,High,Silica,Low,No,No,32.7,Moderate,Moderate,Average,West,High,Tertiary,Poor,Never,No,None,2008,Alive
+P101864,69,Female,Never,40,30,Low,Silica,High,No,Yes,28.1,Low,Moderate,Average,West,Low,Primary,Good,Regularly,No,Stage II,2017,Alive
+P101865,56,Female,Former,9,7,Medium,Asbestos,Moderate,No,No,30.9,High,High,Good,North,Low,Tertiary,Good,Never,No,None,2002,Deceased
+P101866,68,Male,Former,19,19,Medium,Asbestos,Moderate,Yes,No,29.4,High,None,Poor,East,High,Primary,Poor,Regularly,Yes,None,2013,Deceased
+P101867,89,Male,Current,40,33,Low,Silica,Moderate,No,No,25.9,Moderate,High,Poor,West,Middle,Secondary,Average,Never,No,None,2009,Alive
+P101868,32,Male,Current,46,3,Low,Diesel Fumes,Low,No,No,21.9,Moderate,High,Average,East,High,Secondary,Average,Occasionally,No,None,2016,Alive
+P101869,67,Female,Current,22,17,High,Asbestos,Low,No,Yes,25.9,Moderate,Moderate,Average,South,High,Tertiary,Poor,Occasionally,Yes,None,2014,Deceased
+P101870,25,Female,Never,0,3,High,None,Low,No,No,26.2,Low,Moderate,Poor,North,High,Primary,Good,Occasionally,No,None,2017,Alive
+P101871,75,Male,Never,1,19,Medium,Diesel Fumes,High,No,No,29.9,Moderate,High,Poor,North,Low,Secondary,Poor,Never,Yes,Stage IV,2016,Alive
+P101872,48,Male,Current,18,8,High,None,Moderate,Yes,No,13.7,Low,None,Average,South,Middle,Tertiary,Good,Regularly,No,None,2024,Alive
+P101873,48,Female,Never,13,15,Low,Asbestos,High,Yes,No,17.9,Moderate,High,Poor,West,Low,Secondary,Poor,Never,No,None,2002,Deceased
+P101874,41,Male,Current,7,25,Medium,Silica,High,Yes,No,26.2,High,None,Average,East,High,Tertiary,Average,Occasionally,Yes,Stage III,2015,Deceased
+P101875,29,Female,Current,37,37,High,Asbestos,Moderate,Yes,No,26.7,High,None,Poor,East,High,Primary,Average,Never,Yes,Stage I,2018,Alive
+P101876,44,Female,Former,11,24,Medium,Silica,Low,Yes,No,20.7,Low,High,Good,East,Low,Tertiary,Average,Regularly,No,None,2012,Alive
+P101877,45,Male,Current,25,3,Low,Diesel Fumes,Moderate,Yes,No,26.8,Moderate,High,Average,West,Low,Primary,Average,Occasionally,Yes,None,2022,Alive
+P101878,82,Female,Never,26,37,High,Asbestos,High,Yes,No,28.4,High,High,Poor,South,Middle,Secondary,Poor,Never,Yes,Stage I,2016,Alive
+P101879,55,Male,Former,28,18,Low,Asbestos,High,No,No,24.0,Low,None,Average,East,High,Primary,Poor,Occasionally,Yes,None,2024,Alive
+P101880,35,Female,Current,14,13,Low,Asbestos,Low,No,No,32.1,High,Moderate,Poor,West,Low,Primary,Good,Never,No,None,2022,Alive
+P101881,76,Female,Former,45,20,Medium,Diesel Fumes,High,No,Yes,33.1,Moderate,None,Good,East,Low,Secondary,Poor,Never,No,None,2015,Alive
+P101882,39,Male,Current,0,14,Medium,None,High,No,No,25.6,Low,None,Good,West,Low,Primary,Good,Occasionally,No,None,2008,Alive
+P101883,31,Female,Never,42,2,Medium,None,Moderate,No,No,29.2,High,None,Good,South,Low,Primary,Poor,Regularly,No,None,2023,Alive
+P101884,52,Male,Former,27,36,High,Silica,Low,No,No,16.5,Moderate,Moderate,Average,East,High,Tertiary,Poor,Occasionally,No,None,2020,Alive
+P101885,75,Male,Former,2,15,High,Asbestos,Moderate,Yes,No,30.4,Low,None,Good,South,Middle,Primary,Poor,Regularly,No,Stage II,2011,Alive
+P101886,82,Female,Current,17,13,Medium,None,Moderate,No,No,32.3,High,None,Average,North,Low,Tertiary,Poor,Occasionally,No,None,2002,Alive
+P101887,29,Male,Never,33,8,High,Diesel Fumes,Moderate,No,No,19.9,High,None,Good,West,Low,Primary,Average,Occasionally,Yes,None,2008,Alive
+P101888,29,Male,Former,31,6,High,Asbestos,High,No,No,28.1,Low,Moderate,Average,North,Middle,Secondary,Poor,Occasionally,No,None,2015,Alive
+P101889,32,Male,Current,28,13,Medium,Silica,High,Yes,No,15.6,Moderate,None,Good,South,High,Primary,Good,Never,No,None,2004,Alive
+P101890,88,Male,Never,24,5,Low,None,Low,Yes,No,21.1,Low,Moderate,Poor,South,Low,Primary,Average,Never,No,None,2024,Alive
+P101891,34,Male,Current,25,20,High,Diesel Fumes,High,Yes,No,22.4,High,Moderate,Poor,South,Middle,Primary,Poor,Regularly,No,None,2018,Alive
+P101892,62,Male,Former,38,14,High,Diesel Fumes,Low,No,No,17.6,High,High,Average,East,Middle,Tertiary,Poor,Occasionally,No,None,2021,Alive
+P101893,32,Female,Current,7,7,Low,Silica,Moderate,No,No,23.8,High,High,Good,East,High,Secondary,Good,Never,Yes,None,2012,Alive
+P101894,49,Male,Current,18,33,Low,None,Moderate,No,No,23.5,Moderate,High,Good,South,Middle,Secondary,Average,Never,Yes,None,2001,Deceased
+P101895,74,Female,Never,46,39,Low,Asbestos,High,Yes,No,28.1,High,Moderate,Poor,South,High,Primary,Average,Occasionally,No,None,2018,Alive
+P101896,73,Female,Former,41,0,Medium,Diesel Fumes,High,Yes,No,17.4,High,High,Good,East,Middle,Primary,Average,Occasionally,No,Stage I,2017,Alive
+P101897,60,Male,Current,21,31,Low,Silica,Low,No,No,28.1,Low,High,Good,East,Low,Tertiary,Average,Occasionally,No,None,2011,Alive
+P101898,65,Female,Former,28,4,Medium,Diesel Fumes,High,Yes,No,21.1,High,High,Average,West,High,Secondary,Good,Regularly,No,None,2017,Alive
+P101899,86,Female,Current,32,29,Low,Diesel Fumes,High,No,No,18.6,Low,Moderate,Poor,South,Middle,Primary,Poor,Occasionally,No,Stage IV,2004,Alive
+P101900,34,Male,Former,37,21,Low,None,High,Yes,No,24.0,High,None,Good,East,Low,Primary,Poor,Never,No,Stage I,2019,Alive
+P101901,45,Male,Never,44,19,Medium,None,Moderate,Yes,No,28.8,Low,High,Good,East,Middle,Secondary,Average,Never,No,None,2019,Alive
+P101902,60,Male,Former,45,15,Medium,Asbestos,High,Yes,No,22.6,Low,High,Average,North,Low,Primary,Good,Occasionally,No,None,2007,Alive
+P101903,36,Female,Current,34,6,Low,Diesel Fumes,High,No,No,27.6,Low,High,Average,South,High,Primary,Poor,Regularly,Yes,None,2021,Alive
+P101904,26,Female,Former,42,6,Low,Silica,Moderate,Yes,No,26.4,Low,High,Average,South,Low,Secondary,Average,Regularly,No,None,2015,Alive
+P101905,37,Male,Current,2,1,Low,Diesel Fumes,Moderate,No,No,40.7,Moderate,Moderate,Average,East,Middle,Tertiary,Average,Never,No,Stage I,2001,Alive
+P101906,77,Male,Current,18,13,High,Silica,Moderate,No,No,23.4,High,None,Good,North,Low,Primary,Good,Regularly,No,None,2012,Alive
+P101907,56,Female,Former,9,30,Low,Diesel Fumes,Moderate,No,No,24.2,Moderate,None,Good,West,Low,Primary,Good,Occasionally,No,None,2000,Alive
+P101908,40,Female,Never,26,13,Medium,Silica,High,Yes,No,30.5,High,High,Good,South,High,Secondary,Good,Regularly,No,Stage III,2004,Alive
+P101909,56,Female,Current,14,4,High,Diesel Fumes,High,Yes,No,24.7,Low,None,Average,West,Low,Secondary,Average,Regularly,No,None,2022,Alive
+P101910,56,Female,Former,10,10,Medium,Diesel Fumes,High,Yes,No,26.3,High,High,Good,South,Low,Tertiary,Good,Never,No,None,2020,Deceased
+P101911,35,Male,Current,46,39,High,Asbestos,Low,No,No,16.2,Low,High,Poor,East,Middle,Tertiary,Average,Never,No,Stage I,2011,Alive
+P101912,34,Female,Former,25,4,High,None,Moderate,Yes,No,24.4,High,None,Poor,West,Middle,Primary,Poor,Never,No,None,2003,Alive
+P101913,39,Female,Former,23,28,Medium,None,High,Yes,No,21.5,Low,None,Good,South,High,Tertiary,Average,Regularly,No,None,2004,Alive
+P101914,41,Female,Current,12,10,High,Silica,High,No,Yes,22.6,High,Moderate,Average,West,High,Tertiary,Average,Never,No,None,2010,Deceased
+P101915,64,Female,Former,31,4,Medium,Diesel Fumes,High,No,No,26.3,High,High,Poor,East,High,Tertiary,Poor,Never,No,Stage I,2009,Alive
+P101916,42,Male,Former,36,31,Low,Diesel Fumes,Moderate,No,No,24.7,High,None,Good,North,Middle,Primary,Good,Regularly,No,None,2007,Deceased
+P101917,79,Male,Former,3,35,High,None,Moderate,Yes,No,28.9,Low,Moderate,Poor,North,Low,Tertiary,Good,Regularly,No,None,2020,Alive
+P101918,49,Female,Former,12,14,Medium,Silica,Moderate,Yes,No,29.8,High,None,Poor,West,High,Tertiary,Average,Regularly,No,None,2008,Deceased
+P101919,83,Female,Former,8,18,High,Asbestos,High,No,Yes,24.1,Low,None,Poor,West,Middle,Tertiary,Average,Occasionally,No,Stage IV,2006,Alive
+P101920,46,Male,Current,48,21,Medium,Asbestos,Moderate,Yes,No,26.5,Moderate,High,Poor,West,Middle,Secondary,Poor,Occasionally,Yes,None,2013,Alive
+P101921,54,Male,Former,33,33,Low,Asbestos,High,No,No,14.8,High,Moderate,Good,South,High,Tertiary,Good,Regularly,No,None,2010,Alive
+P101922,68,Female,Former,36,16,Low,Diesel Fumes,Low,Yes,No,26.6,Low,High,Poor,East,Middle,Tertiary,Poor,Never,No,None,2017,Alive
+P101923,56,Female,Current,47,11,High,Silica,Moderate,No,No,30.3,Low,None,Good,West,Low,Secondary,Average,Regularly,No,Stage IV,2024,Deceased
+P101924,75,Male,Never,6,24,High,None,Moderate,Yes,No,20.5,Low,Moderate,Poor,North,Middle,Secondary,Average,Occasionally,Yes,None,2017,Alive
+P101925,70,Male,Never,0,16,Medium,Diesel Fumes,High,No,No,28.8,Moderate,High,Poor,South,Middle,Primary,Poor,Never,No,None,2021,Alive
+P101926,45,Male,Current,11,9,Medium,Diesel Fumes,Moderate,No,No,22.7,Low,Moderate,Poor,West,Low,Primary,Poor,Occasionally,No,None,2007,Alive
+P101927,56,Male,Current,20,27,High,Asbestos,Moderate,No,No,22.1,Moderate,None,Good,South,High,Secondary,Good,Occasionally,Yes,None,2001,Alive
+P101928,63,Male,Former,10,17,Medium,Silica,High,Yes,No,32.1,Moderate,Moderate,Poor,West,Middle,Primary,Poor,Occasionally,No,None,2021,Alive
+P101929,36,Male,Current,43,17,Medium,Silica,High,Yes,No,24.8,Low,None,Poor,West,Low,Tertiary,Good,Occasionally,Yes,None,2020,Alive
+P101930,71,Female,Never,43,31,Medium,Asbestos,High,Yes,No,29.3,High,High,Average,South,High,Primary,Good,Never,No,None,2006,Alive
+P101931,42,Male,Current,43,13,High,Asbestos,Low,No,No,15.2,Moderate,None,Poor,East,Low,Tertiary,Poor,Regularly,No,None,2004,Alive
+P101932,45,Male,Former,13,15,Low,Asbestos,High,No,No,22.0,Low,None,Average,East,Middle,Tertiary,Poor,Never,No,None,2013,Alive
+P101933,37,Male,Former,33,17,Low,Diesel Fumes,Moderate,No,No,28.6,Moderate,Moderate,Good,North,Low,Tertiary,Good,Regularly,No,None,2013,Deceased
+P101934,45,Male,Former,33,15,Medium,Diesel Fumes,Low,No,Yes,25.6,Low,Moderate,Poor,East,High,Secondary,Poor,Regularly,No,None,2002,Alive
+P101935,32,Female,Never,24,16,High,Diesel Fumes,High,No,No,24.1,Low,High,Poor,East,High,Primary,Good,Never,No,None,2005,Alive
+P101936,70,Female,Never,3,6,Medium,None,Low,No,Yes,28.0,Moderate,Moderate,Average,South,High,Primary,Good,Regularly,No,None,2022,Alive
+P101937,31,Male,Current,25,11,Low,None,Low,No,No,20.8,Low,High,Average,South,Low,Secondary,Average,Never,No,None,2016,Alive
+P101938,47,Female,Former,15,33,Medium,Silica,Moderate,No,No,31.1,Moderate,None,Poor,North,Low,Secondary,Good,Never,No,None,2023,Alive
+P101939,46,Female,Former,9,9,Low,Asbestos,Low,No,Yes,23.9,Low,None,Good,West,High,Primary,Average,Regularly,No,None,2007,Deceased
+P101940,46,Female,Never,44,4,High,Asbestos,High,Yes,Yes,20.9,High,Moderate,Average,South,High,Secondary,Poor,Regularly,Yes,None,2019,Alive
+P101941,53,Female,Never,1,20,Medium,Diesel Fumes,Low,No,No,21.2,High,None,Poor,South,High,Secondary,Good,Occasionally,No,None,2023,Alive
+P101942,37,Female,Current,34,2,High,None,Low,Yes,No,24.6,Moderate,None,Average,South,Middle,Tertiary,Good,Regularly,No,None,2002,Alive
+P101943,26,Female,Former,18,18,Medium,Asbestos,Moderate,No,No,22.9,Moderate,High,Good,East,Middle,Tertiary,Poor,Regularly,No,Stage I,2014,Alive
+P101944,53,Male,Former,5,34,Medium,Silica,Moderate,Yes,No,27.6,Moderate,Moderate,Average,South,Middle,Tertiary,Poor,Regularly,No,Stage II,2004,Alive
+P101945,76,Male,Never,18,5,Medium,Asbestos,High,No,No,24.8,Moderate,High,Poor,North,High,Secondary,Poor,Never,No,Stage I,2018,Alive
+P101946,51,Male,Current,7,13,Medium,Diesel Fumes,Moderate,Yes,No,23.2,High,None,Average,North,Middle,Secondary,Good,Occasionally,No,Stage IV,2001,Alive
+P101947,74,Male,Never,13,3,Medium,Diesel Fumes,High,No,No,26.8,Moderate,None,Good,South,High,Tertiary,Poor,Occasionally,No,Stage III,2020,Alive
+P101948,47,Male,Never,9,17,High,None,High,No,No,22.4,Low,None,Poor,West,Low,Tertiary,Poor,Never,No,None,2007,Alive
+P101949,68,Female,Former,2,28,High,Silica,Moderate,No,Yes,27.5,Low,Moderate,Poor,South,High,Primary,Average,Regularly,No,None,2008,Alive
+P101950,46,Male,Never,37,34,Low,Silica,Low,Yes,No,26.6,Moderate,None,Poor,North,High,Tertiary,Average,Regularly,No,None,2004,Alive
+P101951,67,Male,Never,28,37,Medium,Asbestos,Moderate,No,No,26.4,Low,None,Poor,West,Middle,Tertiary,Good,Never,No,None,2002,Alive
+P101952,61,Female,Current,14,15,Low,Silica,Low,Yes,No,23.2,Moderate,High,Good,East,Low,Primary,Poor,Occasionally,No,Stage IV,2011,Deceased
+P101953,85,Female,Current,22,19,High,Asbestos,Low,Yes,No,21.9,Low,Moderate,Poor,South,Low,Primary,Poor,Never,No,None,2002,Alive
+P101954,80,Male,Current,22,23,Low,Asbestos,High,Yes,No,29.0,Low,None,Good,North,Low,Primary,Average,Never,No,None,2023,Alive
+P101955,27,Female,Former,17,34,High,None,High,Yes,No,28.1,Moderate,High,Good,East,Middle,Primary,Good,Regularly,No,None,2018,Alive
+P101956,87,Female,Never,45,18,Medium,Silica,Moderate,Yes,No,20.0,Moderate,None,Average,North,Middle,Secondary,Poor,Never,No,Stage IV,2015,Alive
+P101957,43,Female,Never,18,3,Low,Diesel Fumes,Low,No,No,22.8,High,High,Average,East,Middle,Primary,Good,Never,No,None,2024,Deceased
+P101958,47,Female,Current,27,32,Low,Asbestos,Moderate,Yes,No,31.7,Moderate,None,Poor,North,Middle,Primary,Average,Never,No,None,2015,Alive
+P101959,53,Male,Former,25,1,Low,Asbestos,High,Yes,No,29.9,High,Moderate,Poor,North,Middle,Secondary,Poor,Regularly,No,None,2000,Alive
+P101960,54,Female,Current,9,12,Low,Asbestos,Low,Yes,No,19.1,Moderate,Moderate,Good,East,High,Primary,Average,Regularly,Yes,Stage II,2016,Alive
+P101961,63,Male,Never,46,29,Medium,Silica,Moderate,Yes,No,25.1,Low,High,Average,South,Low,Primary,Average,Occasionally,No,Stage III,2020,Alive
+P101962,49,Male,Former,3,33,High,Silica,Moderate,No,No,27.1,High,None,Poor,North,Middle,Primary,Average,Occasionally,No,Stage I,2019,Alive
+P101963,32,Female,Never,1,29,High,Silica,High,No,Yes,30.0,Low,Moderate,Poor,West,Low,Secondary,Poor,Occasionally,No,None,2002,Alive
+P101964,82,Female,Former,2,23,Medium,Asbestos,High,No,No,25.6,Moderate,None,Good,South,Middle,Tertiary,Good,Regularly,No,None,2016,Alive
+P101965,40,Female,Current,6,32,High,Diesel Fumes,High,Yes,No,27.4,Moderate,Moderate,Average,West,High,Primary,Poor,Occasionally,No,None,2022,Alive
+P101966,25,Male,Current,15,9,Low,Diesel Fumes,High,Yes,No,29.7,Moderate,High,Poor,North,Low,Primary,Average,Never,No,Stage III,2016,Deceased
+P101967,29,Female,Former,30,17,Medium,Silica,Moderate,Yes,No,30.3,Moderate,Moderate,Poor,East,Middle,Primary,Good,Occasionally,Yes,None,2015,Alive
+P101968,27,Female,Former,9,18,High,Diesel Fumes,High,No,No,24.1,High,None,Poor,South,High,Primary,Average,Never,No,None,2005,Alive
+P101969,89,Female,Current,18,6,Medium,Asbestos,High,Yes,Yes,25.2,High,None,Poor,East,High,Secondary,Poor,Occasionally,No,None,2017,Alive
+P101970,28,Female,Current,27,18,Medium,Silica,Moderate,No,No,21.2,Moderate,None,Poor,East,Low,Tertiary,Good,Regularly,No,None,2013,Alive
+P101971,88,Female,Never,16,23,High,Silica,Moderate,Yes,No,23.6,Low,High,Poor,West,Middle,Primary,Poor,Never,No,None,2019,Alive
+P101972,34,Male,Former,27,14,High,Asbestos,Low,Yes,No,23.0,High,High,Average,West,High,Primary,Good,Never,No,None,2007,Alive
+P101973,45,Female,Never,18,22,Medium,Silica,Moderate,No,No,24.1,Low,None,Good,South,High,Secondary,Average,Regularly,No,None,2018,Alive
+P101974,70,Female,Former,36,3,Medium,Asbestos,Low,Yes,No,24.5,Moderate,None,Good,South,High,Tertiary,Average,Never,Yes,None,2008,Alive
+P101975,51,Female,Former,22,37,High,Silica,High,No,No,29.1,High,Moderate,Good,South,Low,Tertiary,Average,Occasionally,No,None,2020,Deceased
+P101976,65,Male,Former,19,3,Medium,Diesel Fumes,Low,Yes,No,26.7,High,Moderate,Poor,West,Low,Tertiary,Poor,Regularly,No,Stage IV,2021,Alive
+P101977,37,Female,Former,12,4,High,Silica,Low,No,No,18.6,High,Moderate,Good,West,Middle,Primary,Poor,Never,No,None,2017,Deceased
+P101978,33,Male,Never,12,22,Medium,Silica,High,Yes,No,27.8,Low,None,Average,East,Middle,Primary,Average,Regularly,No,None,2000,Alive
+P101979,60,Male,Former,42,39,Medium,Silica,High,Yes,No,22.3,Moderate,Moderate,Poor,East,Low,Primary,Average,Never,No,None,2020,Alive
+P101980,82,Female,Current,10,36,Medium,None,High,Yes,No,19.6,Moderate,None,Average,East,Low,Secondary,Good,Never,No,None,2016,Alive
+P101981,78,Female,Current,47,10,High,Diesel Fumes,Low,Yes,No,19.3,High,High,Poor,South,Low,Secondary,Good,Regularly,No,None,2003,Alive
+P101982,36,Female,Former,14,10,Low,Asbestos,Moderate,Yes,No,25.8,High,Moderate,Poor,North,High,Secondary,Poor,Never,No,None,2015,Alive
+P101983,38,Male,Current,16,12,High,None,Moderate,No,No,30.3,Moderate,None,Good,West,Low,Primary,Good,Occasionally,No,None,2023,Alive
+P101984,58,Male,Current,49,13,Medium,Diesel Fumes,Moderate,No,No,23.9,Low,None,Average,South,Middle,Primary,Poor,Occasionally,No,None,2011,Alive
+P101985,77,Male,Never,27,7,Low,Silica,High,Yes,No,29.7,High,High,Good,West,High,Primary,Poor,Never,Yes,Stage IV,2012,Alive
+P101986,44,Male,Never,18,24,Low,Silica,High,No,No,25.4,Low,High,Poor,North,Low,Tertiary,Good,Never,No,None,2001,Alive
+P101987,40,Male,Current,3,17,Medium,Asbestos,Moderate,No,No,14.2,Low,High,Average,West,Middle,Secondary,Good,Occasionally,No,None,2021,Alive
+P101988,80,Male,Current,21,17,High,Asbestos,High,No,No,28.1,Moderate,High,Average,West,Low,Secondary,Good,Never,No,None,2011,Alive
+P101989,82,Female,Current,21,9,Low,Diesel Fumes,Low,No,Yes,22.3,Moderate,Moderate,Poor,West,Middle,Tertiary,Average,Never,No,None,2009,Alive
+P101990,28,Female,Current,36,6,Low,Diesel Fumes,Low,Yes,No,20.9,Low,High,Good,East,High,Tertiary,Average,Regularly,No,Stage II,2014,Alive
+P101991,28,Male,Current,38,13,High,Asbestos,High,No,No,28.1,Low,None,Poor,North,High,Tertiary,Good,Regularly,No,None,2004,Alive
+P101992,44,Female,Former,33,14,High,Diesel Fumes,Moderate,No,No,25.7,Moderate,None,Average,South,Middle,Primary,Average,Occasionally,No,None,2000,Alive
+P101993,34,Female,Never,32,15,Low,Asbestos,Moderate,Yes,No,24.7,High,None,Average,South,Middle,Tertiary,Poor,Occasionally,No,None,2007,Deceased
+P101994,48,Male,Never,43,1,High,Silica,Low,Yes,No,25.5,Low,None,Average,South,High,Primary,Average,Regularly,No,None,2020,Alive
+P101995,50,Male,Former,41,29,Low,Asbestos,High,Yes,No,20.8,High,None,Poor,North,High,Primary,Average,Regularly,Yes,None,2024,Alive
+P101996,61,Female,Current,39,29,Medium,None,Moderate,Yes,Yes,33.8,Low,High,Average,West,Middle,Secondary,Average,Occasionally,No,None,2017,Alive
+P101997,78,Male,Former,32,17,High,Asbestos,Moderate,Yes,No,25.9,Moderate,None,Average,South,Middle,Tertiary,Poor,Occasionally,Yes,None,2005,Alive
+P101998,45,Male,Current,11,30,Low,Asbestos,High,Yes,No,25.8,High,High,Good,North,Low,Primary,Poor,Occasionally,No,Stage IV,2022,Alive
+P101999,62,Female,Never,1,12,High,None,High,Yes,No,24.6,Moderate,High,Good,East,Low,Primary,Good,Regularly,No,None,2000,Alive
+P102000,70,Male,Former,27,19,High,None,Moderate,Yes,No,16.9,Low,High,Average,North,High,Tertiary,Average,Regularly,No,None,2013,Deceased
+P102001,28,Female,Never,9,34,Low,None,High,No,No,21.6,Moderate,High,Good,East,High,Primary,Average,Never,No,None,2009,Alive
+P102002,84,Female,Former,21,22,Medium,None,High,Yes,Yes,18.9,High,Moderate,Poor,North,Low,Primary,Poor,Occasionally,No,None,2003,Alive
+P102003,81,Female,Current,16,32,Low,Asbestos,High,No,No,18.4,Moderate,Moderate,Good,East,Low,Primary,Average,Never,No,None,2017,Alive
+P102004,69,Female,Current,25,37,High,Diesel Fumes,Moderate,Yes,No,17.3,High,Moderate,Good,South,High,Tertiary,Poor,Occasionally,No,None,2022,Alive
+P102005,44,Female,Current,2,34,Low,None,Low,Yes,No,21.8,Moderate,Moderate,Good,North,High,Primary,Average,Regularly,Yes,None,2018,Alive
+P102006,41,Male,Never,6,35,High,Silica,High,No,No,25.1,Moderate,Moderate,Good,East,Middle,Secondary,Good,Occasionally,Yes,None,2024,Alive
+P102007,28,Male,Former,43,19,Low,Asbestos,Moderate,Yes,No,17.9,High,None,Poor,West,Middle,Tertiary,Poor,Occasionally,No,None,2007,Alive
+P102008,38,Male,Former,7,2,Medium,Diesel Fumes,Low,Yes,No,28.5,High,Moderate,Good,South,High,Secondary,Poor,Regularly,Yes,Stage I,2011,Deceased
+P102009,27,Male,Former,19,7,Medium,Silica,Moderate,No,No,26.5,High,None,Average,South,Low,Secondary,Poor,Regularly,No,Stage I,2009,Alive
+P102010,82,Female,Current,11,39,Medium,Asbestos,Moderate,No,No,23.8,Low,None,Good,East,Middle,Secondary,Average,Occasionally,No,Stage III,2012,Alive
+P102011,79,Female,Current,34,31,Medium,Asbestos,Moderate,No,No,35.8,Moderate,High,Good,East,High,Primary,Good,Occasionally,No,Stage IV,2006,Alive
+P102012,28,Male,Current,16,28,Low,Silica,Low,No,Yes,23.8,High,High,Average,North,Low,Primary,Poor,Occasionally,No,None,2023,Alive
+P102013,48,Female,Never,27,6,Medium,None,Moderate,No,No,29.0,Low,High,Poor,East,Low,Secondary,Good,Occasionally,No,None,2016,Alive
+P102014,58,Male,Current,40,1,Low,None,Low,No,No,26.0,Low,Moderate,Average,East,High,Secondary,Poor,Occasionally,Yes,Stage II,2011,Alive
+P102015,54,Male,Never,9,20,High,Silica,High,Yes,No,32.2,High,None,Average,West,Middle,Tertiary,Good,Regularly,No,Stage III,2005,Alive
+P102016,43,Male,Current,21,5,High,Diesel Fumes,Low,Yes,No,30.4,High,Moderate,Average,South,Middle,Secondary,Average,Occasionally,No,None,2022,Alive
+P102017,55,Female,Former,37,27,High,None,Moderate,Yes,Yes,23.5,High,High,Average,East,High,Primary,Average,Regularly,Yes,None,2006,Deceased
+P102018,84,Female,Former,32,35,Medium,Asbestos,Low,Yes,No,23.7,Low,High,Good,East,Low,Secondary,Good,Never,No,None,2012,Alive
+P102019,84,Female,Former,21,31,Medium,Asbestos,Moderate,Yes,No,18.3,Low,None,Good,West,Middle,Secondary,Good,Never,No,None,2013,Alive
+P102020,43,Female,Current,43,8,Medium,Diesel Fumes,High,No,No,25.6,Moderate,None,Good,East,High,Tertiary,Average,Occasionally,No,None,2024,Alive
+P102021,73,Male,Never,36,10,High,Asbestos,Low,No,No,28.3,Low,High,Good,West,Middle,Secondary,Good,Never,No,None,2022,Alive
+P102022,87,Female,Former,12,22,High,None,High,Yes,No,24.7,High,Moderate,Poor,South,High,Tertiary,Good,Regularly,No,None,2022,Alive
+P102023,46,Female,Current,26,10,High,Diesel Fumes,Low,No,No,32.0,Moderate,Moderate,Good,South,Middle,Tertiary,Good,Never,No,None,2012,Deceased
+P102024,48,Female,Former,14,1,High,None,Moderate,Yes,No,25.7,Moderate,None,Good,West,Middle,Secondary,Poor,Never,No,None,2005,Alive
+P102025,54,Male,Never,21,2,Low,Diesel Fumes,Low,No,No,31.2,Moderate,High,Poor,West,Middle,Secondary,Good,Regularly,No,None,2018,Deceased
+P102026,82,Male,Former,29,10,Low,Silica,High,Yes,No,24.2,Moderate,Moderate,Average,South,High,Primary,Poor,Occasionally,Yes,Stage IV,2012,Alive
+P102027,55,Female,Former,42,34,Medium,Asbestos,Low,Yes,Yes,19.2,High,None,Good,South,High,Primary,Average,Regularly,No,None,2021,Alive
+P102028,88,Female,Current,39,14,Medium,Diesel Fumes,High,Yes,No,21.9,Moderate,None,Good,West,Low,Tertiary,Average,Regularly,No,None,2008,Alive
+P102029,43,Female,Current,36,10,High,Silica,High,No,No,24.8,High,None,Average,North,Middle,Tertiary,Average,Occasionally,No,None,2010,Alive
+P102030,72,Female,Former,33,30,Low,None,Moderate,No,No,21.3,Low,Moderate,Good,South,Middle,Primary,Good,Regularly,No,None,2009,Alive
+P102031,69,Male,Current,43,27,Low,Silica,Low,Yes,No,16.7,High,None,Average,South,High,Tertiary,Average,Occasionally,Yes,Stage III,2002,Alive
+P102032,79,Female,Former,33,27,Medium,None,High,No,No,15.0,Moderate,Moderate,Average,West,Middle,Primary,Poor,Regularly,No,None,2018,Alive
+P102033,79,Female,Never,47,31,Low,Diesel Fumes,Moderate,Yes,Yes,30.1,Low,None,Average,West,High,Tertiary,Poor,Never,No,Stage I,2006,Alive
+P102034,42,Female,Never,34,24,Medium,Diesel Fumes,Moderate,Yes,No,26.9,Low,Moderate,Good,West,Low,Primary,Good,Occasionally,Yes,Stage I,2022,Alive
+P102035,87,Male,Former,41,19,High,Asbestos,Moderate,No,No,26.4,Low,High,Average,North,Middle,Primary,Poor,Occasionally,No,None,2004,Deceased
+P102036,71,Male,Never,18,27,High,Asbestos,High,Yes,No,25.8,Moderate,Moderate,Good,West,High,Tertiary,Poor,Never,No,None,2023,Alive
+P102037,81,Female,Current,7,24,Medium,Diesel Fumes,Low,Yes,No,22.3,High,High,Poor,North,High,Tertiary,Average,Never,No,None,2023,Alive
+P102038,69,Female,Current,38,10,High,None,High,Yes,No,29.0,High,None,Average,West,Middle,Tertiary,Poor,Occasionally,No,None,2014,Alive
+P102039,57,Female,Never,32,18,High,None,Moderate,No,No,16.3,Moderate,Moderate,Good,West,Low,Secondary,Average,Never,No,None,2001,Alive
+P102040,41,Female,Former,43,27,Low,Diesel Fumes,High,Yes,No,14.6,Moderate,None,Average,North,High,Secondary,Average,Regularly,No,Stage III,2010,Alive
+P102041,28,Female,Current,27,0,Low,None,High,Yes,Yes,24.0,Low,High,Good,East,Middle,Tertiary,Poor,Regularly,No,None,2005,Alive
+P102042,44,Male,Current,36,4,Low,Diesel Fumes,Moderate,Yes,No,25.6,High,None,Good,South,Low,Tertiary,Poor,Regularly,No,None,2004,Alive
+P102043,71,Male,Current,47,9,Low,Asbestos,Low,Yes,No,20.6,Moderate,None,Poor,West,High,Tertiary,Good,Never,Yes,None,2019,Alive
+P102044,39,Male,Former,24,33,Low,None,Moderate,No,Yes,17.0,Moderate,None,Average,East,Low,Tertiary,Good,Never,Yes,None,2006,Alive
+P102045,71,Female,Current,35,35,Medium,Asbestos,Moderate,Yes,No,28.0,High,High,Good,North,High,Primary,Poor,Never,No,Stage III,2003,Alive
+P102046,33,Male,Former,16,1,Medium,Silica,High,Yes,No,22.9,Low,High,Poor,West,Middle,Secondary,Average,Occasionally,Yes,None,2004,Alive
+P102047,40,Male,Former,23,17,Low,Asbestos,Moderate,No,No,28.5,Low,Moderate,Good,North,Middle,Tertiary,Average,Regularly,Yes,None,2023,Alive
+P102048,85,Male,Never,20,12,High,Silica,High,No,No,31.5,Low,Moderate,Good,North,Middle,Secondary,Good,Occasionally,No,None,2004,Alive
+P102049,34,Female,Never,1,4,High,Asbestos,Moderate,No,No,17.0,High,Moderate,Poor,North,Low,Secondary,Average,Occasionally,No,None,2024,Deceased
+P102050,74,Female,Former,30,19,Medium,Asbestos,Moderate,No,No,26.1,Moderate,Moderate,Average,East,Low,Primary,Good,Occasionally,No,None,2009,Alive
+P102051,27,Male,Never,43,1,Medium,None,Low,No,Yes,26.2,Moderate,None,Poor,North,Middle,Tertiary,Average,Regularly,Yes,None,2017,Alive
+P102052,75,Female,Never,32,10,Medium,Asbestos,Moderate,No,No,28.7,Moderate,High,Average,South,High,Secondary,Poor,Regularly,No,Stage II,2001,Deceased
+P102053,43,Male,Current,29,29,High,Diesel Fumes,Low,Yes,No,22.3,Moderate,High,Good,West,Low,Primary,Poor,Regularly,No,None,2014,Alive
+P102054,66,Male,Never,11,31,Medium,None,Moderate,Yes,No,25.3,High,None,Good,West,Low,Tertiary,Average,Never,No,Stage III,2008,Alive
+P102055,59,Male,Former,43,31,High,None,Moderate,No,No,28.7,Low,Moderate,Poor,South,High,Tertiary,Good,Regularly,No,None,2001,Alive
+P102056,70,Male,Former,11,37,Medium,None,Moderate,Yes,No,27.2,Low,High,Poor,West,High,Secondary,Poor,Never,No,Stage II,2002,Alive
+P102057,50,Female,Current,48,27,High,Asbestos,Low,No,No,32.8,Low,None,Poor,South,Middle,Primary,Good,Never,No,Stage III,2021,Alive
+P102058,88,Female,Former,23,9,Medium,None,High,Yes,No,20.7,Low,None,Good,East,Low,Primary,Poor,Never,No,Stage IV,2019,Alive
+P102059,61,Female,Never,23,21,Medium,Silica,Low,No,No,26.0,Moderate,Moderate,Average,North,High,Primary,Average,Regularly,No,Stage I,2023,Alive
+P102060,73,Female,Former,10,16,High,Silica,Moderate,No,No,24.6,Moderate,Moderate,Poor,East,High,Primary,Poor,Regularly,No,None,2023,Alive
+P102061,45,Male,Current,12,21,Medium,Asbestos,High,Yes,No,24.0,High,High,Average,South,Middle,Tertiary,Average,Regularly,Yes,None,2001,Deceased
+P102062,88,Female,Current,26,18,Low,None,Moderate,No,No,27.9,Low,High,Poor,North,Middle,Secondary,Good,Regularly,No,None,2001,Deceased
+P102063,29,Male,Former,7,16,High,Diesel Fumes,Low,Yes,No,25.6,Moderate,Moderate,Poor,East,Low,Secondary,Poor,Occasionally,No,Stage II,2018,Alive
+P102064,28,Female,Former,9,23,Medium,Diesel Fumes,Low,No,No,19.7,Moderate,High,Poor,North,High,Primary,Good,Regularly,No,None,2013,Alive
+P102065,63,Female,Current,7,35,High,Silica,High,No,Yes,29.8,Moderate,Moderate,Poor,North,Middle,Primary,Good,Regularly,No,Stage III,2017,Alive
+P102066,59,Female,Never,19,31,Medium,Asbestos,Low,Yes,No,28.0,Low,None,Good,East,Low,Primary,Average,Regularly,No,None,2020,Deceased
+P102067,25,Male,Current,7,35,Low,Asbestos,Moderate,No,No,32.4,Moderate,None,Good,West,Middle,Secondary,Good,Regularly,No,None,2000,Alive
+P102068,48,Male,Former,8,27,Medium,Asbestos,High,Yes,No,28.6,Low,None,Poor,South,Low,Tertiary,Poor,Regularly,No,None,2006,Alive
+P102069,81,Male,Never,6,13,Medium,Asbestos,Moderate,Yes,No,23.9,Low,High,Good,East,High,Tertiary,Average,Occasionally,No,None,2007,Alive
+P102070,65,Male,Former,13,35,Low,Asbestos,High,Yes,Yes,24.0,High,Moderate,Good,East,Middle,Primary,Average,Occasionally,No,None,2011,Deceased
+P102071,78,Female,Never,27,5,High,None,High,Yes,No,30.2,High,None,Good,West,Low,Tertiary,Average,Never,No,None,2003,Deceased
+P102072,70,Male,Current,1,8,Medium,None,Moderate,Yes,No,21.2,Low,None,Good,South,Low,Tertiary,Good,Never,No,None,2022,Alive
+P102073,84,Male,Current,42,20,Medium,None,Low,No,No,20.5,Low,High,Average,East,High,Secondary,Poor,Regularly,No,None,2024,Alive
+P102074,84,Female,Never,7,11,Low,Diesel Fumes,Moderate,No,No,26.1,Low,High,Average,North,Middle,Primary,Poor,Never,No,None,2006,Alive
+P102075,81,Female,Current,12,29,High,None,Low,Yes,No,17.5,Moderate,None,Good,South,Low,Tertiary,Poor,Occasionally,No,Stage II,2017,Alive
+P102076,55,Male,Never,20,30,High,Asbestos,Low,No,No,26.7,Moderate,High,Average,West,Low,Primary,Average,Regularly,Yes,None,2017,Alive
+P102077,48,Female,Former,46,39,Low,Asbestos,Moderate,Yes,No,27.3,Moderate,High,Poor,East,Low,Primary,Average,Never,No,None,2009,Alive
+P102078,60,Male,Never,27,3,Low,Diesel Fumes,High,No,No,23.8,High,High,Average,North,Low,Tertiary,Poor,Never,No,Stage III,2009,Alive
+P102079,54,Female,Current,34,30,Medium,Diesel Fumes,Moderate,Yes,Yes,32.0,Low,High,Poor,South,Middle,Secondary,Good,Occasionally,Yes,None,2005,Alive
+P102080,48,Male,Current,22,26,Low,Silica,High,No,No,30.6,Moderate,Moderate,Average,East,Middle,Tertiary,Average,Regularly,No,None,2023,Alive
+P102081,54,Male,Current,45,24,Low,Diesel Fumes,Low,Yes,No,21.1,Moderate,High,Average,South,Low,Secondary,Poor,Never,No,Stage II,2011,Alive
+P102082,31,Male,Current,14,4,Low,Silica,High,No,No,28.3,High,High,Poor,North,Middle,Tertiary,Good,Occasionally,No,None,2009,Alive
+P102083,59,Male,Current,1,5,High,None,Moderate,Yes,No,29.9,High,Moderate,Poor,North,Middle,Primary,Average,Regularly,Yes,None,2012,Alive
+P102084,79,Male,Current,11,4,Low,Asbestos,High,Yes,No,25.4,Low,High,Good,South,High,Secondary,Average,Occasionally,No,None,2011,Alive
+P102085,38,Female,Current,35,26,Medium,Silica,Low,No,No,22.8,Low,High,Average,North,High,Secondary,Average,Regularly,No,None,2018,Alive
+P102086,34,Male,Current,2,7,Medium,Silica,Low,Yes,No,19.5,Moderate,None,Poor,North,Low,Primary,Poor,Regularly,No,None,2000,Alive
+P102087,40,Male,Former,4,8,Medium,Silica,High,Yes,No,22.2,Moderate,None,Good,South,High,Tertiary,Average,Regularly,Yes,None,2000,Alive
+P102088,78,Male,Never,2,14,Low,Diesel Fumes,Low,No,No,19.6,Moderate,None,Poor,South,Middle,Secondary,Average,Occasionally,No,None,2010,Alive
+P102089,68,Male,Former,46,35,High,Diesel Fumes,Low,No,No,29.6,Moderate,Moderate,Good,West,Low,Tertiary,Good,Regularly,No,Stage I,2017,Alive
+P102090,69,Male,Never,18,6,Low,Diesel Fumes,High,Yes,No,23.7,Moderate,High,Good,East,High,Tertiary,Poor,Never,No,None,2021,Alive
+P102091,80,Female,Former,1,31,Low,Silica,Low,Yes,No,27.6,High,Moderate,Poor,West,Low,Tertiary,Good,Regularly,No,None,2001,Deceased
+P102092,81,Female,Former,43,7,Medium,None,High,Yes,No,31.3,Low,Moderate,Poor,West,Low,Primary,Average,Regularly,No,None,2005,Alive
+P102093,45,Male,Current,36,14,Low,Asbestos,High,Yes,No,26.1,High,High,Average,West,High,Tertiary,Poor,Occasionally,No,None,2015,Alive
+P102094,74,Female,Never,16,36,High,Diesel Fumes,Low,No,No,30.9,Low,High,Average,West,Middle,Primary,Poor,Regularly,No,None,2000,Alive
+P102095,57,Male,Never,13,18,Medium,None,High,Yes,No,23.2,Low,None,Good,East,Middle,Secondary,Average,Never,No,None,2008,Alive
+P102096,31,Female,Former,27,38,High,Diesel Fumes,Low,Yes,No,26.9,Low,High,Poor,South,High,Tertiary,Poor,Never,Yes,None,2014,Alive
+P102097,39,Female,Current,26,5,High,Diesel Fumes,Low,No,No,26.0,High,Moderate,Average,North,High,Secondary,Poor,Regularly,No,None,2015,Alive
+P102098,56,Male,Former,9,18,High,Silica,Low,No,No,21.5,Moderate,None,Good,North,High,Tertiary,Good,Occasionally,No,Stage II,2013,Deceased
+P102099,44,Female,Former,2,27,Low,Silica,Moderate,Yes,No,23.5,Low,Moderate,Average,South,High,Secondary,Poor,Never,No,None,2006,Deceased
+P102100,39,Female,Current,35,16,Low,Diesel Fumes,Low,No,No,32.1,Low,High,Good,South,Low,Primary,Poor,Occasionally,No,None,2000,Deceased
+P102101,72,Male,Current,37,18,Low,Asbestos,High,No,No,23.3,High,None,Average,South,Middle,Secondary,Good,Regularly,No,None,2015,Alive
+P102102,45,Male,Never,24,30,Low,Diesel Fumes,High,No,No,16.7,High,High,Poor,North,Middle,Secondary,Average,Occasionally,No,None,2008,Alive
+P102103,66,Female,Former,21,10,Medium,Asbestos,High,Yes,Yes,23.3,Moderate,None,Good,West,High,Tertiary,Good,Regularly,Yes,None,2024,Alive
+P102104,50,Female,Never,47,14,Low,None,Moderate,Yes,No,21.2,Moderate,None,Good,West,Middle,Tertiary,Average,Regularly,No,None,2010,Alive
+P102105,38,Female,Current,38,9,Medium,Diesel Fumes,Moderate,Yes,Yes,27.3,Low,None,Average,West,Middle,Tertiary,Average,Occasionally,No,Stage I,2009,Alive
+P102106,81,Male,Never,46,22,High,Asbestos,High,No,No,28.1,High,High,Average,East,Middle,Tertiary,Average,Never,Yes,None,2010,Alive
+P102107,61,Female,Former,29,2,Medium,None,High,Yes,No,26.8,Moderate,None,Average,West,High,Primary,Good,Regularly,No,None,2005,Alive
+P102108,82,Female,Never,20,2,Low,None,Moderate,Yes,No,23.0,Moderate,None,Poor,East,High,Secondary,Average,Regularly,No,Stage III,2001,Alive
+P102109,45,Female,Never,29,17,Medium,Silica,High,Yes,No,25.3,Moderate,High,Average,North,Middle,Secondary,Good,Regularly,No,None,2017,Alive
+P102110,27,Male,Current,27,24,Low,None,Low,No,Yes,23.4,High,Moderate,Average,East,High,Primary,Good,Never,No,Stage III,2011,Alive
+P102111,61,Male,Never,30,19,Low,Silica,Low,Yes,No,17.8,High,High,Poor,South,Middle,Secondary,Average,Never,No,None,2013,Alive
+P102112,73,Male,Never,25,28,Medium,None,High,Yes,No,24.4,High,High,Average,South,High,Tertiary,Average,Regularly,No,None,2007,Alive
+P102113,43,Male,Former,42,21,Medium,None,Low,Yes,No,38.2,High,None,Poor,North,Middle,Tertiary,Good,Never,No,None,2024,Alive
+P102114,36,Female,Never,21,14,High,Asbestos,High,Yes,Yes,19.9,High,High,Poor,West,High,Tertiary,Good,Occasionally,No,None,2003,Alive
+P102115,85,Male,Never,20,38,High,Asbestos,Moderate,No,No,15.7,Low,High,Average,North,Middle,Secondary,Average,Occasionally,Yes,None,2017,Alive
+P102116,65,Female,Current,0,9,High,Silica,High,Yes,No,32.1,Low,High,Poor,South,High,Primary,Average,Occasionally,No,None,2020,Alive
+P102117,57,Female,Current,36,20,High,Diesel Fumes,Moderate,Yes,No,27.2,High,None,Average,West,High,Primary,Average,Occasionally,No,None,2012,Alive
+P102118,74,Female,Current,12,28,High,Asbestos,Low,No,No,26.5,Low,High,Poor,South,Middle,Secondary,Good,Regularly,No,None,2022,Alive
+P102119,57,Female,Current,20,31,Medium,None,Low,No,No,23.2,High,None,Good,North,Low,Primary,Good,Occasionally,No,None,2013,Alive
+P102120,48,Male,Current,45,9,High,Silica,Low,No,No,26.1,Low,High,Average,West,Middle,Primary,Good,Never,No,None,2019,Alive
+P102121,85,Male,Never,8,12,Medium,Silica,High,No,No,25.3,Low,None,Good,North,Middle,Tertiary,Average,Regularly,No,None,2024,Deceased
+P102122,85,Male,Current,16,22,High,Silica,Moderate,No,No,31.6,Moderate,None,Good,South,Low,Secondary,Poor,Never,No,None,2014,Alive
+P102123,52,Male,Current,46,22,Low,None,Moderate,Yes,No,29.6,High,High,Good,West,High,Primary,Poor,Occasionally,No,None,2019,Alive
+P102124,82,Male,Current,20,30,High,Asbestos,Low,No,Yes,28.0,Low,Moderate,Good,South,Low,Secondary,Poor,Regularly,No,None,2023,Alive
+P102125,67,Female,Former,30,3,Low,Diesel Fumes,Low,No,No,21.6,Low,High,Average,West,Middle,Tertiary,Poor,Regularly,Yes,None,2018,Alive
+P102126,65,Male,Never,38,2,Medium,Silica,Moderate,No,No,26.1,Moderate,Moderate,Poor,East,Low,Tertiary,Poor,Regularly,No,None,2013,Alive
+P102127,63,Male,Current,21,20,High,None,High,Yes,No,21.9,Low,None,Average,East,High,Primary,Good,Occasionally,No,None,2011,Alive
+P102128,73,Male,Current,11,1,Medium,Asbestos,Low,Yes,No,31.1,Moderate,Moderate,Average,South,Middle,Secondary,Average,Never,No,Stage III,2021,Alive
+P102129,41,Male,Current,5,3,High,Asbestos,High,Yes,No,21.4,Low,Moderate,Poor,North,Middle,Secondary,Average,Regularly,No,None,2014,Alive
+P102130,89,Female,Never,15,0,Medium,Diesel Fumes,Low,No,No,24.3,Moderate,None,Good,East,High,Tertiary,Average,Never,No,Stage II,2005,Alive
+P102131,29,Female,Never,25,14,High,Silica,Low,Yes,No,19.6,Moderate,Moderate,Poor,East,High,Tertiary,Average,Occasionally,No,None,2018,Alive
+P102132,26,Female,Never,4,32,High,None,High,No,No,22.5,High,High,Good,West,Middle,Tertiary,Average,Occasionally,No,None,2001,Alive
+P102133,46,Female,Current,8,5,Low,Asbestos,High,No,No,22.5,High,Moderate,Average,West,High,Primary,Poor,Never,No,None,2005,Alive
+P102134,81,Female,Never,45,6,Medium,None,High,Yes,No,24.2,Low,None,Poor,West,Low,Secondary,Average,Regularly,No,None,2022,Alive
+P102135,40,Male,Never,39,18,Medium,Asbestos,High,Yes,No,20.5,High,Moderate,Poor,South,Low,Primary,Average,Never,No,None,2022,Alive
+P102136,75,Female,Current,13,0,Medium,Silica,Moderate,Yes,No,31.1,High,None,Good,North,Low,Secondary,Poor,Regularly,No,Stage IV,2010,Alive
+P102137,63,Female,Never,43,38,Medium,Silica,Moderate,No,No,24.1,High,None,Poor,North,Low,Tertiary,Average,Regularly,No,None,2000,Alive
+P102138,64,Female,Current,41,18,Medium,Diesel Fumes,Low,Yes,No,22.3,Low,High,Average,West,High,Primary,Poor,Never,Yes,None,2021,Alive
+P102139,62,Male,Former,29,25,Low,Asbestos,Low,Yes,No,28.8,Low,None,Poor,South,Low,Primary,Poor,Regularly,No,None,2008,Alive
+P102140,84,Male,Current,25,11,High,None,Low,Yes,No,35.8,High,Moderate,Poor,West,Low,Primary,Good,Regularly,No,None,2012,Alive
+P102141,83,Female,Former,44,21,Low,Asbestos,Moderate,Yes,No,23.0,High,High,Average,North,Middle,Tertiary,Average,Regularly,No,None,2008,Alive
+P102142,34,Male,Current,28,12,Medium,None,High,Yes,No,23.8,Low,High,Good,South,High,Primary,Average,Occasionally,Yes,None,2014,Alive
+P102143,88,Male,Current,18,27,Medium,Diesel Fumes,Low,No,No,21.3,High,Moderate,Poor,West,High,Primary,Average,Regularly,No,None,2017,Deceased
+P102144,87,Female,Never,46,13,High,Asbestos,Moderate,No,No,28.3,Moderate,Moderate,Good,West,High,Tertiary,Poor,Never,No,None,2003,Alive
+P102145,73,Male,Never,7,21,Low,Silica,Low,Yes,No,29.8,Low,High,Poor,North,Middle,Secondary,Good,Occasionally,No,None,2021,Alive
+P102146,88,Male,Never,22,29,High,None,Moderate,No,No,24.8,Low,None,Average,South,Middle,Primary,Average,Regularly,No,None,2003,Alive
+P102147,56,Male,Current,41,19,High,Silica,High,No,No,22.8,Moderate,High,Good,North,High,Tertiary,Poor,Occasionally,No,None,2011,Alive
+P102148,31,Female,Current,34,26,Low,Diesel Fumes,Moderate,No,No,27.7,High,High,Poor,South,Low,Primary,Poor,Never,No,None,2008,Alive
+P102149,45,Female,Former,30,37,High,Diesel Fumes,High,Yes,No,28.7,Moderate,High,Good,South,Middle,Primary,Poor,Occasionally,No,None,2017,Alive
+P102150,44,Female,Current,34,33,Low,None,Low,No,No,32.8,High,None,Poor,West,Middle,Secondary,Poor,Occasionally,No,None,2005,Alive
+P102151,50,Male,Never,31,38,Low,Asbestos,High,Yes,No,22.1,High,Moderate,Average,North,Middle,Tertiary,Good,Regularly,No,None,2016,Alive
+P102152,39,Female,Current,4,36,Medium,Silica,Moderate,No,No,29.3,Low,Moderate,Average,South,High,Secondary,Good,Never,No,None,2024,Alive
+P102153,38,Male,Current,15,0,High,Silica,Low,Yes,No,25.5,Low,Moderate,Poor,East,Low,Secondary,Poor,Never,No,None,2016,Alive
+P102154,51,Male,Never,16,14,Medium,None,Low,No,No,16.3,High,None,Poor,West,Middle,Tertiary,Average,Occasionally,No,None,2012,Alive
+P102155,64,Male,Former,31,31,High,None,Moderate,No,No,32.6,Moderate,None,Good,North,Middle,Secondary,Good,Regularly,No,None,2011,Deceased
+P102156,82,Female,Never,37,7,High,None,High,Yes,No,26.5,Low,Moderate,Poor,South,High,Primary,Average,Occasionally,No,None,2013,Alive
+P102157,52,Female,Former,31,32,Medium,Diesel Fumes,Moderate,Yes,No,28.0,High,Moderate,Good,West,Low,Tertiary,Average,Occasionally,No,Stage IV,2007,Alive
+P102158,50,Female,Former,19,17,Medium,Diesel Fumes,High,No,No,29.7,Low,Moderate,Poor,North,Middle,Tertiary,Good,Occasionally,No,Stage IV,2014,Alive
+P102159,87,Female,Never,47,28,Medium,Silica,High,Yes,No,28.0,Low,Moderate,Average,North,High,Primary,Average,Regularly,No,None,2008,Alive
+P102160,49,Male,Former,1,31,Low,Asbestos,Low,Yes,No,20.2,Low,None,Good,West,High,Primary,Good,Occasionally,No,None,2000,Deceased
+P102161,27,Female,Former,19,32,High,None,High,Yes,No,28.4,Moderate,Moderate,Good,South,Middle,Primary,Good,Regularly,No,None,2016,Alive
+P102162,68,Male,Former,46,4,Low,Diesel Fumes,Low,Yes,No,27.5,Moderate,High,Average,West,High,Secondary,Average,Never,Yes,None,2009,Alive
+P102163,66,Female,Former,17,17,High,Asbestos,Moderate,No,No,16.7,High,Moderate,Good,East,High,Secondary,Average,Occasionally,Yes,None,2022,Alive
+P102164,30,Female,Never,0,9,High,None,Moderate,Yes,No,33.3,Moderate,None,Average,West,Middle,Secondary,Poor,Never,No,None,2004,Alive
+P102165,63,Female,Current,28,35,Low,Asbestos,Low,No,No,23.1,High,High,Average,North,High,Secondary,Good,Occasionally,No,None,2010,Alive
+P102166,76,Male,Current,28,32,Low,None,Low,No,No,30.0,High,High,Average,East,Low,Secondary,Average,Never,No,Stage II,2002,Alive
+P102167,47,Male,Former,18,22,High,Asbestos,High,Yes,No,23.3,Low,High,Poor,East,Low,Secondary,Good,Regularly,No,Stage III,2024,Alive
+P102168,74,Male,Never,43,39,Medium,Silica,Low,Yes,No,22.3,Low,None,Average,South,Middle,Tertiary,Poor,Occasionally,No,None,2001,Deceased
+P102169,67,Male,Current,39,4,Medium,None,Moderate,Yes,No,24.6,Moderate,Moderate,Good,West,Low,Tertiary,Poor,Occasionally,No,None,2021,Alive
+P102170,43,Male,Current,5,33,Medium,None,Low,Yes,No,35.6,High,None,Poor,South,Low,Tertiary,Poor,Regularly,No,None,2003,Alive
+P102171,75,Female,Never,43,23,Medium,Silica,Low,No,No,35.1,High,None,Average,West,Middle,Tertiary,Poor,Never,No,Stage II,2020,Deceased
+P102172,35,Male,Former,38,16,High,None,Low,No,No,22.3,Low,High,Average,North,High,Tertiary,Poor,Never,Yes,None,2001,Alive
+P102173,36,Male,Never,49,30,Medium,None,High,Yes,No,31.2,Low,High,Average,South,Low,Tertiary,Poor,Regularly,No,None,2000,Deceased
+P102174,32,Male,Former,45,6,Medium,Diesel Fumes,Low,No,No,25.1,Low,None,Good,North,High,Secondary,Poor,Never,No,None,2008,Alive
+P102175,48,Male,Never,7,16,Medium,Silica,High,Yes,No,35.1,Moderate,High,Poor,North,Middle,Tertiary,Poor,Regularly,Yes,None,2002,Alive
+P102176,65,Female,Former,23,27,High,Diesel Fumes,High,No,No,30.8,High,None,Poor,East,Low,Primary,Good,Never,Yes,None,2005,Alive
+P102177,60,Male,Current,19,37,Low,Silica,Low,No,Yes,26.4,High,High,Poor,South,Middle,Tertiary,Average,Regularly,No,Stage IV,2013,Alive
+P102178,79,Female,Former,13,21,Medium,Asbestos,High,No,No,25.4,High,Moderate,Good,West,High,Primary,Good,Regularly,Yes,None,2024,Deceased
+P102179,33,Female,Former,4,14,High,Silica,Low,Yes,No,28.0,Low,Moderate,Average,South,Middle,Primary,Good,Regularly,No,None,2000,Alive
+P102180,71,Female,Former,40,36,High,Silica,Moderate,Yes,Yes,27.4,Moderate,Moderate,Poor,North,Low,Tertiary,Average,Regularly,No,None,2011,Alive
+P102181,39,Male,Former,39,14,Medium,Diesel Fumes,Moderate,No,No,19.5,Moderate,High,Average,East,Middle,Secondary,Average,Never,No,None,2020,Alive
+P102182,72,Female,Never,33,24,Low,None,High,Yes,No,26.0,Low,High,Good,South,Middle,Secondary,Poor,Occasionally,No,Stage III,2015,Alive
+P102183,66,Male,Never,15,20,Low,Silica,Moderate,Yes,No,21.7,Moderate,Moderate,Poor,East,Middle,Primary,Average,Never,Yes,None,2019,Alive
+P102184,84,Male,Current,44,37,Low,None,Low,No,Yes,22.4,Moderate,None,Good,East,High,Secondary,Good,Regularly,No,Stage IV,2018,Alive
+P102185,36,Male,Never,6,1,High,Silica,High,Yes,Yes,30.6,High,None,Poor,North,High,Primary,Poor,Occasionally,No,None,2017,Alive
+P102186,26,Male,Current,15,26,Medium,Diesel Fumes,Low,Yes,No,26.0,Low,Moderate,Poor,South,High,Secondary,Good,Occasionally,No,Stage IV,2013,Alive
+P102187,31,Male,Current,6,31,Medium,Silica,High,No,Yes,22.7,Low,High,Average,South,High,Secondary,Average,Never,No,None,2002,Deceased
+P102188,27,Female,Never,26,20,High,Asbestos,High,No,No,18.9,Low,None,Good,South,Low,Secondary,Good,Regularly,No,None,2013,Alive
+P102189,27,Female,Former,13,3,Medium,Silica,High,No,Yes,21.1,Low,None,Poor,East,High,Secondary,Good,Regularly,No,None,2016,Alive
+P102190,51,Male,Former,13,18,Medium,Silica,High,No,No,24.7,High,None,Poor,West,High,Tertiary,Poor,Regularly,Yes,None,2012,Alive
+P102191,64,Female,Current,43,1,Low,None,Moderate,Yes,No,33.4,Moderate,High,Good,South,Low,Tertiary,Poor,Regularly,No,None,2000,Alive
+P102192,57,Male,Current,32,25,Medium,None,Moderate,Yes,No,19.8,Moderate,None,Average,North,High,Tertiary,Good,Regularly,No,None,2007,Deceased
+P102193,25,Female,Current,32,33,Medium,Asbestos,Moderate,No,No,26.5,High,None,Good,East,Middle,Primary,Average,Occasionally,No,None,2020,Alive
+P102194,32,Female,Never,43,13,High,Silica,High,No,No,27.0,Moderate,Moderate,Poor,West,High,Tertiary,Poor,Never,Yes,Stage IV,2001,Alive
+P102195,56,Female,Current,19,14,High,None,Moderate,Yes,Yes,31.1,Low,High,Good,South,Low,Tertiary,Good,Never,No,None,2018,Deceased
+P102196,72,Female,Former,46,19,Low,Silica,High,Yes,No,25.6,High,Moderate,Average,West,Middle,Tertiary,Poor,Never,No,Stage III,2014,Alive
+P102197,28,Female,Former,35,33,High,Diesel Fumes,Moderate,Yes,No,27.0,High,None,Average,East,Low,Secondary,Poor,Occasionally,No,None,2013,Alive
+P102198,43,Male,Never,6,35,Low,Diesel Fumes,High,No,No,30.9,Low,High,Average,West,Middle,Secondary,Average,Occasionally,No,None,2013,Alive
+P102199,56,Male,Never,31,18,Low,Asbestos,Moderate,No,No,21.1,Low,High,Average,East,Middle,Secondary,Good,Never,No,None,2017,Alive
+P102200,33,Female,Current,47,8,Medium,Diesel Fumes,Moderate,No,No,29.0,Low,Moderate,Average,West,Middle,Secondary,Good,Occasionally,Yes,None,2014,Alive
+P102201,36,Male,Former,2,6,Low,None,Moderate,No,No,18.0,Moderate,Moderate,Average,West,Low,Secondary,Good,Occasionally,No,None,2009,Alive
+P102202,35,Female,Former,38,29,Medium,None,High,Yes,No,25.3,Low,High,Average,East,Middle,Tertiary,Good,Never,No,Stage II,2017,Alive
+P102203,70,Male,Former,28,12,Low,Asbestos,High,No,No,23.8,High,High,Poor,West,Middle,Tertiary,Good,Occasionally,No,None,2019,Alive
+P102204,40,Female,Current,23,26,High,Silica,Moderate,No,No,21.4,Moderate,Moderate,Good,North,Middle,Secondary,Poor,Regularly,Yes,None,2003,Deceased
+P102205,25,Female,Current,21,34,High,None,High,Yes,No,29.9,Moderate,None,Average,South,Middle,Secondary,Poor,Never,No,None,2006,Alive
+P102206,87,Female,Never,5,12,High,Diesel Fumes,Low,No,No,30.1,High,High,Good,West,Middle,Tertiary,Poor,Never,Yes,None,2001,Alive
+P102207,45,Male,Never,47,14,Low,None,Moderate,Yes,Yes,30.3,Moderate,None,Good,West,High,Tertiary,Poor,Never,No,None,2008,Deceased
+P102208,54,Male,Never,23,8,Low,Asbestos,Moderate,No,No,26.9,Low,Moderate,Poor,West,Low,Secondary,Average,Never,No,None,2022,Alive
+P102209,37,Female,Current,39,22,Medium,Diesel Fumes,Low,Yes,No,18.8,Low,High,Good,South,Middle,Primary,Average,Occasionally,No,Stage I,2003,Alive
+P102210,58,Female,Former,22,35,Medium,Diesel Fumes,High,Yes,No,23.4,Low,Moderate,Good,East,Middle,Secondary,Good,Never,No,Stage I,2011,Alive
+P102211,28,Male,Former,37,39,Medium,Diesel Fumes,High,Yes,No,30.0,Low,High,Average,South,Middle,Tertiary,Average,Regularly,No,None,2022,Alive
+P102212,52,Male,Former,9,2,Medium,Asbestos,High,No,No,30.0,Moderate,High,Average,West,Middle,Primary,Poor,Occasionally,No,Stage IV,2009,Alive
+P102213,83,Male,Former,15,33,Low,Asbestos,Moderate,No,No,31.0,High,Moderate,Good,East,Middle,Secondary,Poor,Occasionally,No,Stage I,2010,Alive
+P102214,51,Male,Current,10,18,Low,Silica,Moderate,No,No,26.6,Moderate,Moderate,Average,West,High,Tertiary,Poor,Never,No,None,2000,Deceased
+P102215,49,Male,Former,31,27,Medium,Silica,Moderate,No,No,24.1,High,None,Poor,East,High,Tertiary,Poor,Occasionally,No,None,2012,Deceased
+P102216,27,Female,Never,44,22,Low,Silica,Moderate,No,No,15.2,High,Moderate,Good,West,Middle,Tertiary,Poor,Occasionally,Yes,None,2006,Alive
+P102217,49,Male,Never,5,39,Low,Asbestos,Moderate,No,Yes,29.3,Low,Moderate,Good,West,Middle,Secondary,Good,Occasionally,No,None,2005,Alive
+P102218,44,Female,Former,23,6,Low,Diesel Fumes,High,Yes,No,24.5,Moderate,None,Poor,East,Middle,Secondary,Good,Never,No,None,2008,Alive
+P102219,58,Female,Current,32,11,Low,Diesel Fumes,Low,No,No,18.7,Low,Moderate,Poor,North,Low,Primary,Poor,Regularly,Yes,None,2023,Alive
+P102220,50,Male,Former,11,13,Medium,None,High,No,No,28.8,Moderate,None,Poor,South,Low,Tertiary,Good,Never,Yes,None,2017,Alive
+P102221,29,Male,Current,26,14,Medium,Silica,High,Yes,No,32.1,Moderate,None,Poor,East,High,Tertiary,Average,Regularly,No,Stage IV,2002,Deceased
+P102222,85,Female,Current,37,2,Low,Diesel Fumes,Moderate,Yes,No,29.3,Low,Moderate,Good,South,High,Primary,Average,Occasionally,No,None,2012,Alive
+P102223,33,Male,Never,17,14,High,Diesel Fumes,Low,No,No,28.4,Moderate,None,Average,North,Low,Secondary,Poor,Regularly,No,None,2002,Alive
+P102224,74,Female,Never,44,23,Medium,Diesel Fumes,Low,Yes,No,29.7,Low,None,Average,North,Middle,Tertiary,Good,Never,No,None,2012,Alive
+P102225,30,Male,Never,38,7,Medium,Diesel Fumes,High,No,No,11.3,High,None,Average,East,High,Primary,Poor,Never,No,None,2005,Alive
+P102226,84,Male,Current,12,4,High,Asbestos,Low,Yes,No,33.6,Low,Moderate,Average,North,Middle,Tertiary,Good,Never,No,None,2017,Alive
+P102227,68,Male,Never,39,3,Medium,Silica,High,No,No,21.0,Moderate,Moderate,Poor,North,Middle,Secondary,Poor,Occasionally,Yes,None,2001,Deceased
+P102228,35,Female,Former,29,13,High,Diesel Fumes,High,Yes,No,21.5,Moderate,None,Average,West,High,Secondary,Poor,Regularly,No,None,2019,Alive
+P102229,71,Male,Former,48,15,High,Diesel Fumes,High,Yes,No,22.6,High,Moderate,Average,West,Low,Primary,Poor,Never,No,None,2016,Alive
+P102230,27,Female,Current,40,19,Low,Diesel Fumes,High,No,No,23.2,High,High,Good,North,Low,Primary,Average,Never,No,None,2000,Alive
+P102231,54,Male,Never,12,23,Medium,Diesel Fumes,Moderate,No,Yes,32.5,High,None,Good,West,Low,Tertiary,Good,Never,No,None,2016,Alive
+P102232,45,Female,Former,33,5,High,None,Low,Yes,No,27.7,Low,High,Average,North,Middle,Secondary,Good,Occasionally,Yes,None,2004,Alive
+P102233,52,Male,Former,35,30,Low,Diesel Fumes,Moderate,Yes,No,21.6,Low,Moderate,Poor,West,Middle,Secondary,Average,Never,No,None,2008,Deceased
+P102234,86,Female,Former,29,5,Medium,Diesel Fumes,Moderate,Yes,No,22.4,Moderate,High,Average,North,Middle,Primary,Average,Occasionally,No,None,2003,Alive
+P102235,57,Female,Current,24,34,Low,Diesel Fumes,Moderate,Yes,No,37.5,High,Moderate,Poor,North,Low,Primary,Good,Occasionally,No,None,2013,Deceased
+P102236,59,Female,Never,1,14,Low,None,High,No,No,26.8,High,Moderate,Good,South,Middle,Tertiary,Good,Never,No,None,2007,Alive
+P102237,76,Female,Current,35,28,High,Asbestos,High,Yes,No,22.8,Low,None,Poor,North,High,Secondary,Poor,Occasionally,No,None,2022,Deceased
+P102238,58,Female,Current,17,2,Medium,None,Moderate,Yes,No,16.9,Moderate,High,Average,South,Middle,Tertiary,Poor,Occasionally,No,None,2012,Deceased
+P102239,65,Female,Former,4,10,Low,Diesel Fumes,Moderate,No,No,16.6,High,None,Good,East,High,Tertiary,Good,Never,No,Stage I,2005,Alive
+P102240,75,Male,Current,18,2,High,Asbestos,Low,No,No,19.4,Low,High,Average,North,Low,Primary,Good,Never,No,None,2013,Alive
+P102241,71,Female,Former,41,27,High,Diesel Fumes,Moderate,No,No,25.5,Low,Moderate,Average,North,Middle,Secondary,Poor,Regularly,No,Stage IV,2008,Deceased
+P102242,82,Female,Never,17,9,Low,Asbestos,High,No,No,30.5,High,Moderate,Poor,South,Middle,Primary,Average,Never,No,None,2016,Alive
+P102243,81,Female,Current,31,32,Low,Diesel Fumes,Moderate,No,No,28.1,High,None,Average,North,Low,Tertiary,Good,Regularly,No,None,2006,Alive
+P102244,47,Male,Former,20,15,High,Diesel Fumes,Low,No,No,30.9,Moderate,High,Average,West,Middle,Tertiary,Good,Regularly,No,Stage I,2008,Alive
+P102245,72,Male,Current,9,9,Low,Asbestos,Low,Yes,Yes,27.8,High,High,Good,South,High,Secondary,Average,Regularly,No,Stage IV,2014,Alive
+P102246,46,Male,Former,36,32,Low,Asbestos,Moderate,Yes,Yes,18.9,Low,Moderate,Poor,South,Low,Secondary,Average,Never,No,None,2009,Alive
+P102247,41,Female,Current,48,35,Medium,Diesel Fumes,Low,Yes,No,27.1,High,None,Poor,West,High,Secondary,Average,Regularly,No,None,2013,Alive
+P102248,35,Male,Former,21,2,High,None,Low,No,No,27.3,High,Moderate,Good,North,Low,Secondary,Good,Regularly,No,None,2015,Deceased
+P102249,39,Male,Never,12,4,Low,None,High,No,No,24.4,Moderate,Moderate,Good,East,High,Primary,Good,Regularly,No,None,2001,Alive
+P102250,59,Female,Former,16,11,High,None,Low,Yes,No,23.5,Low,None,Poor,East,High,Primary,Good,Never,No,Stage IV,2003,Alive
+P102251,57,Female,Current,8,12,Medium,None,Low,Yes,No,24.3,High,High,Good,East,High,Primary,Poor,Never,No,None,2020,Alive
+P102252,40,Male,Current,23,23,High,Asbestos,Moderate,No,No,17.3,Low,High,Poor,South,Middle,Primary,Average,Never,No,None,2014,Alive
+P102253,58,Female,Former,43,31,High,Asbestos,High,No,No,18.3,Moderate,Moderate,Good,South,Middle,Tertiary,Average,Never,Yes,None,2010,Alive
+P102254,64,Female,Current,13,15,High,None,Low,Yes,Yes,37.7,Low,High,Poor,West,Middle,Primary,Poor,Occasionally,No,None,2020,Alive
+P102255,52,Female,Never,45,31,Medium,Silica,Moderate,Yes,No,18.7,High,None,Poor,North,Middle,Primary,Poor,Never,No,None,2010,Alive
+P102256,71,Female,Former,7,36,Medium,Silica,Moderate,Yes,No,16.2,High,High,Good,West,Middle,Secondary,Poor,Regularly,No,None,2022,Alive
+P102257,63,Male,Current,36,35,High,Silica,Moderate,Yes,No,21.4,Moderate,High,Average,South,High,Tertiary,Poor,Never,No,None,2023,Alive
+P102258,44,Female,Current,18,20,High,Diesel Fumes,Moderate,Yes,No,27.3,Moderate,Moderate,Average,East,Middle,Primary,Average,Occasionally,No,Stage IV,2012,Deceased
+P102259,25,Male,Current,27,11,Medium,None,Moderate,No,No,27.8,Moderate,High,Good,North,High,Tertiary,Poor,Occasionally,No,None,2015,Deceased
+P102260,87,Male,Current,45,20,Low,Diesel Fumes,Moderate,Yes,No,19.9,Low,None,Poor,East,Low,Tertiary,Poor,Occasionally,Yes,Stage II,2008,Alive
+P102261,28,Male,Never,40,20,Medium,Asbestos,Low,Yes,No,25.5,Low,Moderate,Good,North,High,Tertiary,Average,Never,No,None,2020,Alive
+P102262,82,Male,Current,29,5,High,Asbestos,High,No,No,22.3,Low,None,Average,East,Middle,Tertiary,Average,Occasionally,No,Stage I,2001,Alive
+P102263,49,Female,Former,6,8,Low,Silica,High,Yes,Yes,26.0,Low,High,Poor,North,Low,Secondary,Average,Occasionally,No,None,2001,Alive
+P102264,71,Female,Never,25,0,Low,Silica,Moderate,No,No,23.5,Moderate,High,Poor,East,Middle,Secondary,Average,Occasionally,No,Stage IV,2004,Alive
+P102265,62,Female,Never,39,11,Low,Asbestos,Moderate,No,Yes,21.5,Low,Moderate,Poor,West,Low,Tertiary,Good,Never,No,None,2004,Alive
+P102266,39,Male,Former,45,13,Medium,Silica,High,Yes,No,21.8,Low,None,Average,South,High,Tertiary,Good,Occasionally,Yes,None,2004,Alive
+P102267,87,Male,Never,45,5,Medium,Silica,Low,Yes,No,14.0,Low,High,Average,West,Low,Tertiary,Good,Occasionally,No,None,2013,Alive
+P102268,45,Male,Former,10,0,Medium,Asbestos,Moderate,No,No,23.9,Low,High,Poor,East,Middle,Secondary,Good,Regularly,No,Stage III,2005,Alive
+P102269,81,Female,Never,13,21,Medium,Diesel Fumes,High,No,No,24.6,Moderate,Moderate,Poor,North,Low,Secondary,Average,Regularly,No,None,2015,Alive
+P102270,77,Male,Never,20,33,High,Silica,High,No,No,18.0,Moderate,High,Average,West,High,Tertiary,Good,Regularly,Yes,None,2015,Alive
+P102271,70,Female,Former,7,10,Low,Diesel Fumes,Moderate,Yes,No,23.3,High,High,Average,East,Low,Tertiary,Poor,Occasionally,No,None,2007,Alive
+P102272,38,Female,Former,2,2,High,Silica,High,Yes,No,23.7,High,High,Poor,South,High,Tertiary,Poor,Regularly,No,None,2004,Alive
+P102273,41,Female,Former,27,5,Medium,None,Low,Yes,No,15.7,Low,None,Good,North,Low,Tertiary,Poor,Never,No,Stage I,2012,Deceased
+P102274,63,Female,Current,28,5,Medium,Diesel Fumes,High,Yes,Yes,21.1,Low,None,Good,West,High,Secondary,Good,Regularly,No,None,2002,Deceased
+P102275,33,Male,Current,22,19,High,Diesel Fumes,Moderate,Yes,No,21.0,Moderate,None,Good,South,High,Primary,Good,Never,No,None,2008,Alive
+P102276,30,Female,Current,17,20,Low,Silica,Moderate,No,No,25.9,High,High,Average,East,High,Primary,Poor,Regularly,No,None,2003,Alive
+P102277,47,Male,Former,34,1,Low,Diesel Fumes,High,Yes,Yes,31.2,Low,Moderate,Good,North,High,Secondary,Good,Regularly,No,None,2007,Alive
+P102278,83,Female,Current,12,25,Medium,None,High,Yes,Yes,25.2,High,Moderate,Good,East,Middle,Secondary,Average,Regularly,No,Stage III,2015,Deceased
+P102279,70,Male,Never,11,30,Medium,Asbestos,Moderate,No,No,30.8,High,Moderate,Average,North,High,Primary,Good,Never,No,None,2024,Deceased
+P102280,62,Male,Never,46,25,Medium,None,Low,Yes,No,23.9,High,None,Good,South,Middle,Primary,Poor,Never,No,None,2010,Alive
+P102281,38,Female,Former,49,31,Medium,Asbestos,High,Yes,No,26.9,Moderate,None,Poor,South,High,Primary,Poor,Regularly,No,None,2022,Alive
+P102282,86,Female,Current,4,9,Low,None,Low,Yes,No,25.3,Low,None,Average,South,Low,Tertiary,Good,Never,No,None,2018,Alive
+P102283,59,Female,Never,38,22,High,None,Low,No,No,37.1,Low,None,Poor,West,Low,Primary,Good,Regularly,No,Stage I,2009,Alive
+P102284,43,Male,Never,10,5,Low,Diesel Fumes,Moderate,No,No,24.2,Moderate,High,Good,West,Middle,Primary,Poor,Occasionally,No,None,2021,Alive
+P102285,54,Female,Never,10,22,High,None,Moderate,Yes,No,28.9,Moderate,Moderate,Poor,West,Low,Tertiary,Poor,Occasionally,No,None,2006,Alive
+P102286,49,Female,Current,46,27,Medium,Silica,Moderate,Yes,No,26.0,Moderate,Moderate,Average,East,High,Tertiary,Good,Occasionally,No,None,2011,Alive
+P102287,64,Male,Current,41,29,Medium,Silica,Low,Yes,No,30.6,High,None,Good,West,Low,Secondary,Good,Never,No,None,2022,Alive
+P102288,38,Female,Never,46,13,High,Silica,Moderate,No,No,28.2,High,Moderate,Average,North,Middle,Tertiary,Poor,Occasionally,No,None,2007,Alive
+P102289,50,Male,Former,30,36,Medium,Silica,Moderate,No,No,26.7,Low,Moderate,Good,South,Low,Primary,Poor,Regularly,No,None,2009,Alive
+P102290,46,Female,Former,30,31,Low,Diesel Fumes,Low,Yes,No,19.3,Low,None,Average,East,Middle,Tertiary,Poor,Regularly,Yes,None,2004,Alive
+P102291,72,Male,Current,12,33,Medium,Silica,Low,Yes,No,19.7,High,None,Average,East,High,Secondary,Poor,Never,Yes,None,2004,Alive
+P102292,75,Male,Never,13,21,Medium,None,Low,Yes,No,21.9,High,None,Poor,West,High,Primary,Poor,Regularly,Yes,None,2012,Alive
+P102293,27,Female,Current,48,30,Medium,Silica,Low,Yes,No,23.5,Moderate,None,Average,North,Low,Secondary,Poor,Occasionally,No,None,2001,Alive
+P102294,66,Male,Former,44,6,Medium,Diesel Fumes,High,No,No,25.6,High,High,Average,South,Low,Secondary,Poor,Regularly,No,None,2011,Alive
+P102295,43,Female,Current,41,20,Low,Asbestos,Moderate,No,No,21.9,Low,Moderate,Poor,East,Low,Secondary,Good,Never,No,Stage III,2010,Alive
+P102296,52,Female,Never,24,15,High,None,High,Yes,No,15.1,Low,High,Good,South,High,Tertiary,Average,Regularly,No,None,2001,Alive
+P102297,69,Male,Former,32,19,Medium,None,Low,No,No,30.1,Moderate,Moderate,Good,North,Low,Tertiary,Average,Regularly,No,None,2014,Alive
+P102298,87,Female,Former,32,18,Medium,Diesel Fumes,Low,No,Yes,27.2,Moderate,High,Average,South,High,Secondary,Good,Occasionally,Yes,None,2019,Alive
+P102299,43,Male,Former,14,31,Low,Asbestos,Low,Yes,No,25.3,Low,None,Poor,West,Middle,Secondary,Average,Never,No,None,2006,Deceased
+P102300,71,Male,Never,15,14,Low,Silica,Low,Yes,No,31.3,High,High,Good,South,Low,Secondary,Good,Occasionally,No,None,2007,Alive
+P102301,38,Male,Current,43,4,Low,Asbestos,Low,Yes,No,21.0,High,None,Poor,East,Low,Secondary,Good,Regularly,No,None,2002,Alive
+P102302,62,Male,Never,37,10,Medium,None,Moderate,Yes,No,24.3,Low,None,Average,West,Middle,Tertiary,Good,Never,Yes,None,2016,Alive
+P102303,77,Male,Current,5,14,High,None,High,No,No,25.8,High,High,Poor,West,Middle,Tertiary,Good,Regularly,No,None,2019,Alive
+P102304,85,Male,Current,43,28,Low,None,High,Yes,No,22.9,High,Moderate,Average,West,Middle,Secondary,Average,Regularly,Yes,None,2005,Alive
+P102305,60,Male,Former,24,3,Low,Asbestos,Moderate,Yes,No,21.0,Low,High,Good,West,Middle,Tertiary,Good,Occasionally,Yes,None,2021,Alive
+P102306,64,Male,Current,14,35,Low,Silica,Moderate,Yes,No,29.4,Low,None,Good,East,High,Primary,Poor,Regularly,No,None,2024,Alive
+P102307,54,Female,Current,3,22,High,None,Moderate,Yes,No,26.4,Moderate,None,Good,North,Low,Tertiary,Good,Never,No,None,2014,Alive
+P102308,33,Female,Former,3,14,Medium,Diesel Fumes,High,No,No,28.1,Low,Moderate,Good,North,High,Secondary,Average,Never,No,None,2012,Alive
+P102309,88,Male,Current,29,2,Medium,Silica,High,Yes,No,20.9,Moderate,Moderate,Poor,West,High,Tertiary,Average,Occasionally,No,None,2022,Alive
+P102310,57,Female,Never,33,31,Medium,None,Low,Yes,No,29.1,Moderate,Moderate,Poor,North,Middle,Primary,Average,Occasionally,No,None,2012,Alive
+P102311,76,Female,Former,26,9,Low,Silica,High,No,No,21.9,High,None,Poor,East,Low,Primary,Average,Never,No,None,2011,Alive
+P102312,38,Female,Current,30,39,Medium,Diesel Fumes,High,Yes,No,26.2,Low,High,Average,North,High,Tertiary,Poor,Occasionally,No,None,2013,Alive
+P102313,77,Female,Former,31,37,Low,Asbestos,Moderate,Yes,No,34.9,High,Moderate,Good,North,High,Primary,Good,Regularly,No,None,2008,Alive
+P102314,83,Female,Former,43,21,High,None,High,Yes,No,29.3,Low,None,Good,East,Middle,Primary,Poor,Never,Yes,None,2009,Alive
+P102315,65,Female,Former,38,13,High,Diesel Fumes,Low,No,Yes,26.7,Low,High,Good,North,Low,Tertiary,Good,Occasionally,No,None,2004,Alive
+P102316,32,Male,Current,8,16,Medium,None,High,Yes,Yes,31.8,High,Moderate,Poor,West,Low,Tertiary,Good,Never,No,Stage IV,2020,Alive
+P102317,26,Female,Current,40,20,Low,None,Moderate,Yes,No,22.2,Moderate,High,Poor,West,Low,Tertiary,Poor,Regularly,Yes,Stage IV,2004,Alive
+P102318,65,Female,Former,7,14,Low,Asbestos,Moderate,Yes,No,27.5,Low,High,Good,East,High,Secondary,Poor,Occasionally,No,Stage IV,2020,Alive
+P102319,79,Female,Current,13,14,Medium,Asbestos,Low,No,No,20.8,Moderate,None,Average,West,Middle,Secondary,Average,Never,Yes,None,2019,Alive
+P102320,40,Female,Current,32,0,High,Silica,Low,Yes,No,23.2,High,None,Poor,West,Low,Primary,Good,Regularly,No,None,2005,Deceased
+P102321,86,Male,Never,22,23,High,Diesel Fumes,High,Yes,No,33.0,High,None,Good,West,High,Primary,Good,Occasionally,No,None,2011,Alive
+P102322,72,Male,Never,20,11,High,Diesel Fumes,Low,Yes,No,26.4,Low,High,Good,West,High,Tertiary,Good,Never,Yes,None,2016,Alive
+P102323,54,Male,Current,11,9,High,Asbestos,Low,No,No,32.0,High,Moderate,Good,West,Low,Primary,Good,Regularly,Yes,None,2015,Alive
+P102324,36,Male,Current,1,30,High,None,Moderate,No,No,24.5,Low,Moderate,Average,North,Middle,Tertiary,Good,Regularly,Yes,None,2017,Alive
+P102325,59,Female,Current,12,10,Medium,Silica,Moderate,Yes,No,31.1,Low,Moderate,Good,East,Middle,Secondary,Good,Regularly,No,None,2024,Alive
+P102326,35,Male,Former,3,15,Medium,Asbestos,High,Yes,No,25.3,Low,None,Poor,South,Low,Tertiary,Average,Regularly,Yes,None,2021,Deceased
+P102327,88,Male,Never,19,8,Medium,Silica,High,No,No,25.7,Low,Moderate,Average,East,High,Primary,Good,Regularly,No,None,2005,Alive
+P102328,74,Male,Former,49,13,High,Silica,High,Yes,No,25.1,Low,Moderate,Average,East,Middle,Tertiary,Average,Occasionally,Yes,None,2009,Alive
+P102329,45,Male,Never,47,18,High,Diesel Fumes,High,No,No,26.8,High,None,Good,East,High,Tertiary,Good,Regularly,No,None,2019,Alive
+P102330,72,Female,Never,13,30,Medium,Silica,Moderate,No,No,23.7,Low,Moderate,Poor,North,High,Tertiary,Good,Occasionally,No,None,2020,Alive
+P102331,44,Male,Current,29,8,Medium,Diesel Fumes,High,No,No,18.1,Moderate,Moderate,Poor,East,Middle,Primary,Poor,Occasionally,No,None,2008,Alive
+P102332,68,Female,Never,28,35,High,None,High,Yes,No,24.8,Low,Moderate,Good,East,High,Tertiary,Good,Never,No,None,2001,Alive
+P102333,57,Male,Current,7,38,Low,None,Low,No,No,25.7,Low,High,Good,North,High,Tertiary,Poor,Never,No,Stage IV,2002,Alive
+P102334,85,Female,Former,11,25,Medium,Asbestos,High,No,No,33.2,Low,High,Poor,West,Low,Primary,Poor,Occasionally,No,None,2009,Alive
+P102335,33,Female,Former,40,7,High,None,Low,Yes,Yes,13.7,High,None,Average,South,Middle,Secondary,Poor,Regularly,No,None,2007,Alive
+P102336,59,Male,Never,37,23,High,Diesel Fumes,Moderate,Yes,No,33.1,Moderate,None,Average,West,High,Secondary,Average,Regularly,No,None,2008,Alive
+P102337,89,Male,Former,25,7,Medium,Silica,High,Yes,No,30.2,Moderate,High,Good,East,Middle,Primary,Poor,Occasionally,No,Stage IV,2020,Alive
+P102338,32,Male,Never,49,18,Low,Silica,Low,No,No,28.4,Moderate,None,Good,West,Middle,Secondary,Poor,Regularly,No,None,2018,Alive
+P102339,69,Male,Current,1,29,High,None,High,No,No,25.8,High,None,Poor,North,High,Tertiary,Poor,Occasionally,No,Stage I,2000,Alive
+P102340,71,Female,Current,39,21,Medium,Diesel Fumes,Low,Yes,No,19.9,High,Moderate,Poor,South,Middle,Primary,Good,Never,Yes,None,2001,Alive
+P102341,64,Female,Former,13,8,High,Silica,High,No,No,34.8,Low,None,Poor,West,Low,Tertiary,Average,Regularly,No,None,2019,Alive
+P102342,78,Male,Never,5,3,High,None,Moderate,Yes,Yes,31.2,High,None,Poor,East,Low,Tertiary,Average,Regularly,No,Stage IV,2003,Deceased
+P102343,70,Male,Current,41,36,High,Diesel Fumes,Moderate,Yes,Yes,26.3,Moderate,Moderate,Good,South,High,Primary,Average,Regularly,No,None,2015,Alive
+P102344,71,Female,Former,39,7,High,Diesel Fumes,Low,Yes,No,26.4,Moderate,Moderate,Good,East,Middle,Tertiary,Average,Never,No,None,2020,Deceased
+P102345,39,Male,Never,30,0,Low,Silica,Low,Yes,No,24.5,High,High,Poor,West,High,Primary,Good,Regularly,Yes,None,2024,Alive
+P102346,43,Female,Former,16,27,Medium,Asbestos,Moderate,Yes,No,28.0,High,None,Good,West,Middle,Tertiary,Poor,Occasionally,No,Stage I,2011,Deceased
+P102347,50,Male,Current,24,5,Medium,Asbestos,High,No,No,24.8,Moderate,Moderate,Good,East,High,Secondary,Good,Regularly,Yes,None,2001,Deceased
+P102348,76,Female,Never,31,35,Medium,Diesel Fumes,Low,No,No,26.5,Moderate,None,Poor,South,High,Tertiary,Average,Occasionally,No,Stage I,2014,Alive
+P102349,46,Female,Never,11,10,Medium,Diesel Fumes,Moderate,Yes,No,27.2,Moderate,None,Average,South,Middle,Tertiary,Good,Regularly,No,None,2017,Alive
+P102350,45,Female,Current,48,4,Medium,None,Low,No,No,37.2,Moderate,High,Average,South,Low,Primary,Good,Occasionally,No,Stage IV,2015,Alive
+P102351,75,Female,Never,12,23,Low,Diesel Fumes,Moderate,No,No,20.4,Moderate,High,Poor,West,High,Secondary,Average,Never,No,None,2020,Alive
+P102352,62,Female,Never,18,17,High,None,Moderate,Yes,No,25.8,High,High,Average,West,Low,Tertiary,Poor,Regularly,Yes,None,2011,Alive
+P102353,44,Male,Former,43,19,High,None,Low,No,No,31.1,High,High,Good,East,Middle,Tertiary,Good,Never,No,None,2017,Alive
+P102354,53,Female,Current,47,27,Medium,None,Low,No,Yes,29.1,Low,High,Average,East,High,Secondary,Average,Never,No,None,2013,Alive
+P102355,75,Male,Former,24,12,High,Diesel Fumes,Moderate,Yes,No,28.4,Low,Moderate,Poor,North,Middle,Secondary,Good,Regularly,No,None,2020,Alive
+P102356,28,Female,Current,30,4,High,Diesel Fumes,High,No,No,40.1,Low,High,Poor,North,Low,Secondary,Good,Regularly,No,None,2011,Alive
+P102357,79,Female,Current,36,29,High,None,Moderate,No,Yes,30.4,High,Moderate,Average,North,Middle,Secondary,Good,Occasionally,No,None,2004,Alive
+P102358,52,Male,Never,24,0,Medium,Silica,High,No,No,21.9,Low,High,Average,East,High,Secondary,Poor,Regularly,Yes,None,2022,Alive
+P102359,28,Male,Current,15,21,Medium,Diesel Fumes,High,No,No,21.3,Low,Moderate,Good,South,Low,Tertiary,Good,Regularly,No,None,2003,Alive
+P102360,46,Male,Former,37,17,Low,Asbestos,High,No,No,24.8,High,None,Average,North,High,Secondary,Good,Occasionally,No,None,2017,Alive
+P102361,69,Male,Never,42,4,Medium,Silica,Low,Yes,No,22.8,Moderate,High,Average,East,Low,Secondary,Poor,Occasionally,No,None,2023,Alive
+P102362,58,Female,Former,48,30,Low,Asbestos,Moderate,Yes,No,25.4,High,Moderate,Average,West,Middle,Tertiary,Good,Regularly,Yes,None,2016,Alive
+P102363,79,Male,Former,22,5,Medium,Diesel Fumes,Moderate,Yes,No,26.7,High,High,Good,South,Middle,Primary,Good,Regularly,No,None,2015,Alive
+P102364,25,Female,Never,13,26,High,Silica,High,Yes,Yes,26.4,Moderate,Moderate,Average,North,High,Tertiary,Poor,Regularly,No,None,2009,Deceased
+P102365,62,Male,Never,5,24,Low,Diesel Fumes,High,Yes,No,12.7,Low,Moderate,Good,West,High,Primary,Average,Never,Yes,None,2016,Alive
+P102366,30,Male,Former,24,28,Low,Diesel Fumes,High,No,No,21.2,High,High,Good,South,High,Secondary,Good,Never,Yes,None,2011,Alive
+P102367,49,Female,Current,22,27,Low,Silica,Moderate,No,No,28.6,High,Moderate,Poor,South,Low,Primary,Average,Regularly,No,None,2011,Alive
+P102368,41,Female,Former,42,15,Medium,Diesel Fumes,High,Yes,No,33.2,Moderate,None,Poor,West,Low,Tertiary,Average,Occasionally,No,None,2022,Deceased
+P102369,85,Male,Current,11,11,Low,Silica,Moderate,Yes,No,23.0,High,High,Good,North,High,Primary,Average,Regularly,No,None,2003,Alive
+P102370,36,Female,Never,12,19,Medium,Diesel Fumes,Moderate,Yes,Yes,23.0,Low,None,Good,North,Low,Primary,Poor,Regularly,No,None,2002,Alive
+P102371,30,Female,Never,35,17,Low,None,Low,No,No,24.6,Moderate,Moderate,Good,West,Low,Primary,Poor,Never,No,None,2000,Alive
+P102372,51,Female,Never,38,33,Medium,Asbestos,High,No,No,33.6,High,Moderate,Poor,West,Middle,Secondary,Good,Regularly,No,None,2011,Alive
+P102373,32,Female,Never,33,22,Low,None,High,No,No,25.3,Low,High,Good,West,Middle,Tertiary,Average,Regularly,No,None,2007,Alive
+P102374,89,Female,Never,5,26,High,Diesel Fumes,High,No,No,13.8,Low,None,Poor,East,Middle,Primary,Poor,Never,Yes,None,2007,Deceased
+P102375,81,Female,Current,37,16,High,Diesel Fumes,Low,No,No,33.9,High,None,Poor,South,High,Secondary,Poor,Never,No,None,2011,Alive
+P102376,64,Female,Current,49,20,Low,Diesel Fumes,High,No,No,28.5,Low,High,Good,North,Middle,Tertiary,Average,Occasionally,No,None,2003,Alive
+P102377,38,Female,Current,39,39,Medium,None,Moderate,Yes,No,18.5,Moderate,None,Good,North,Middle,Tertiary,Poor,Occasionally,No,None,2015,Alive
+P102378,59,Male,Never,7,30,Medium,Diesel Fumes,High,No,No,22.4,Low,High,Good,West,Low,Tertiary,Average,Occasionally,No,Stage II,2001,Deceased
+P102379,72,Female,Current,7,2,Medium,Silica,Moderate,Yes,No,21.0,Moderate,High,Poor,South,Middle,Tertiary,Poor,Regularly,No,None,2003,Alive
+P102380,80,Male,Former,39,16,High,Asbestos,Moderate,Yes,Yes,24.0,Moderate,Moderate,Average,West,Low,Secondary,Average,Occasionally,No,None,2022,Alive
+P102381,73,Female,Never,32,25,High,Diesel Fumes,Moderate,No,No,32.4,Moderate,Moderate,Good,South,Middle,Tertiary,Poor,Never,Yes,None,2003,Alive
+P102382,37,Female,Current,33,22,High,Diesel Fumes,Moderate,No,No,15.7,High,None,Average,West,High,Primary,Poor,Occasionally,No,None,2010,Alive
+P102383,85,Female,Current,43,5,Medium,Asbestos,High,No,Yes,23.3,Low,High,Average,West,High,Tertiary,Poor,Regularly,Yes,None,2002,Alive
+P102384,73,Female,Never,14,27,Medium,Asbestos,Low,No,No,25.6,High,High,Average,South,Middle,Tertiary,Poor,Regularly,No,None,2009,Alive
+P102385,70,Male,Former,35,7,Medium,Asbestos,Low,No,No,24.7,High,High,Average,North,Middle,Secondary,Average,Occasionally,No,None,2011,Alive
+P102386,86,Male,Never,34,7,Low,None,Moderate,No,Yes,21.0,Moderate,High,Average,North,Middle,Primary,Good,Regularly,Yes,None,2016,Alive
+P102387,32,Female,Current,45,18,Low,None,High,No,No,30.9,High,Moderate,Poor,East,High,Primary,Good,Regularly,Yes,None,2008,Alive
+P102388,67,Male,Former,21,37,Low,Diesel Fumes,Low,No,No,24.2,Low,None,Poor,South,Low,Secondary,Poor,Regularly,No,Stage I,2020,Alive
+P102389,44,Female,Current,22,28,High,Asbestos,High,Yes,No,23.6,High,Moderate,Poor,North,Low,Secondary,Good,Occasionally,No,Stage III,2001,Alive
+P102390,63,Female,Never,39,22,High,Diesel Fumes,Low,Yes,No,26.7,High,High,Average,North,Middle,Primary,Poor,Regularly,No,None,2021,Alive
+P102391,73,Male,Former,44,31,Medium,Diesel Fumes,Moderate,No,No,23.6,Moderate,None,Poor,South,High,Primary,Good,Occasionally,No,None,2017,Alive
+P102392,88,Male,Former,21,9,Low,Diesel Fumes,Moderate,Yes,No,22.2,Moderate,None,Good,North,Low,Tertiary,Poor,Occasionally,No,None,2011,Alive
+P102393,86,Female,Former,4,26,Medium,None,Moderate,No,No,20.4,High,High,Average,South,Middle,Secondary,Good,Regularly,No,None,2005,Alive
+P102394,78,Female,Former,30,0,Low,Asbestos,Low,Yes,No,36.0,Moderate,High,Good,North,High,Primary,Good,Occasionally,No,None,2024,Alive
+P102395,33,Male,Current,12,38,Low,Diesel Fumes,High,Yes,No,29.0,High,Moderate,Average,West,High,Primary,Poor,Occasionally,No,None,2017,Alive
+P102396,61,Female,Current,27,28,Medium,None,Moderate,No,No,23.1,Low,Moderate,Average,South,Low,Secondary,Good,Regularly,No,Stage I,2012,Deceased
+P102397,73,Male,Current,19,2,Medium,Silica,High,No,No,31.4,Low,High,Average,South,High,Secondary,Poor,Regularly,No,None,2014,Alive
+P102398,65,Female,Current,32,36,Low,Silica,High,No,No,27.6,Moderate,High,Average,North,Middle,Primary,Good,Occasionally,No,None,2000,Alive
+P102399,41,Female,Current,15,30,Low,Diesel Fumes,Moderate,Yes,No,25.2,Low,Moderate,Good,South,Middle,Secondary,Average,Never,No,None,2022,Alive
+P102400,45,Male,Former,28,10,High,Diesel Fumes,Low,Yes,No,19.9,Low,None,Average,East,Low,Primary,Average,Never,No,None,2007,Alive
+P102401,75,Male,Current,22,21,Medium,Asbestos,Moderate,No,No,20.9,High,None,Average,East,High,Primary,Average,Never,Yes,None,2017,Alive
+P102402,83,Male,Former,23,17,Medium,Asbestos,Moderate,Yes,No,29.8,Moderate,None,Poor,South,Low,Tertiary,Poor,Never,Yes,None,2019,Alive
+P102403,63,Female,Former,33,34,Medium,Diesel Fumes,Low,No,No,28.8,Low,Moderate,Average,East,Low,Tertiary,Poor,Occasionally,No,None,2023,Alive
+P102404,79,Female,Former,6,5,Medium,None,High,Yes,No,18.1,Moderate,High,Average,North,High,Secondary,Poor,Regularly,No,Stage III,2011,Alive
+P102405,65,Female,Former,37,2,Low,Diesel Fumes,Low,No,No,23.0,Moderate,None,Average,North,Low,Secondary,Average,Never,No,None,2019,Alive
+P102406,63,Female,Never,36,4,High,Asbestos,Low,Yes,Yes,28.4,Moderate,High,Average,South,High,Primary,Good,Regularly,No,None,2011,Alive
+P102407,37,Male,Current,3,8,Medium,Asbestos,Moderate,No,No,30.6,Low,Moderate,Average,North,Middle,Tertiary,Poor,Never,No,Stage I,2024,Alive
+P102408,88,Female,Former,33,27,Low,None,Low,No,No,27.6,Moderate,Moderate,Average,North,Low,Secondary,Average,Never,No,None,2000,Alive
+P102409,35,Female,Never,41,18,Low,Diesel Fumes,Low,No,No,22.7,Moderate,High,Good,East,High,Primary,Poor,Never,No,None,2009,Alive
+P102410,43,Female,Former,21,27,Low,Asbestos,Low,Yes,No,26.2,High,High,Good,North,High,Tertiary,Poor,Regularly,No,None,2022,Deceased
+P102411,35,Male,Never,4,26,Low,Diesel Fumes,High,No,No,23.9,High,High,Average,North,High,Primary,Good,Regularly,No,None,2018,Deceased
+P102412,70,Female,Never,49,12,Low,Asbestos,High,Yes,No,26.9,High,High,Good,East,Low,Tertiary,Poor,Never,No,None,2018,Alive
+P102413,69,Female,Never,41,37,Medium,Silica,Moderate,No,Yes,32.4,High,None,Poor,West,Middle,Primary,Poor,Regularly,Yes,None,2010,Alive
+P102414,25,Male,Former,22,20,Medium,Silica,Moderate,No,No,21.1,Moderate,High,Poor,South,Low,Tertiary,Good,Never,No,None,2022,Alive
+P102415,64,Female,Former,14,26,High,Silica,High,No,No,26.4,High,None,Average,South,Middle,Primary,Poor,Occasionally,No,None,2021,Alive
+P102416,43,Female,Current,30,5,Medium,Asbestos,Low,Yes,No,24.5,High,Moderate,Average,West,Low,Primary,Poor,Regularly,No,Stage II,2002,Alive
+P102417,85,Male,Current,8,37,Low,None,Moderate,Yes,Yes,23.7,Low,None,Good,East,Low,Secondary,Good,Never,No,Stage III,2013,Alive
+P102418,36,Female,Former,42,10,High,Silica,Moderate,Yes,No,24.3,High,High,Poor,East,Low,Tertiary,Poor,Occasionally,No,None,2017,Alive
+P102419,85,Female,Former,24,16,Low,Asbestos,Low,No,No,31.6,High,None,Average,North,Middle,Tertiary,Poor,Occasionally,No,None,2005,Alive
+P102420,57,Female,Former,24,38,Low,Diesel Fumes,Low,Yes,No,27.9,Low,Moderate,Poor,North,High,Secondary,Average,Never,No,None,2022,Alive
+P102421,69,Male,Current,48,6,Medium,Silica,Low,No,No,22.6,Moderate,High,Good,South,Low,Secondary,Good,Occasionally,No,None,2008,Alive
+P102422,32,Female,Never,20,29,Low,None,Low,No,No,28.2,Moderate,Moderate,Average,South,Low,Primary,Average,Occasionally,No,None,2024,Alive
+P102423,49,Female,Never,8,20,Medium,None,Low,No,No,22.2,Low,Moderate,Average,East,Middle,Tertiary,Good,Never,Yes,None,2008,Alive
+P102424,70,Male,Current,47,0,Low,None,High,No,No,16.1,Low,High,Average,North,Low,Primary,Poor,Occasionally,No,None,2016,Alive
+P102425,54,Male,Former,37,24,High,Diesel Fumes,Low,No,No,13.5,Moderate,None,Poor,East,High,Primary,Average,Occasionally,No,None,2003,Alive
+P102426,71,Female,Never,21,31,Low,Diesel Fumes,Moderate,Yes,No,27.5,High,Moderate,Good,West,High,Primary,Average,Never,No,None,2003,Alive
+P102427,73,Female,Never,42,7,Medium,None,High,Yes,No,23.6,Low,High,Poor,South,Middle,Secondary,Average,Never,No,None,2023,Alive
+P102428,71,Female,Current,22,4,Low,None,Moderate,No,No,30.0,Low,Moderate,Poor,South,Middle,Tertiary,Average,Occasionally,Yes,None,2018,Alive
+P102429,42,Female,Current,48,29,Medium,None,Low,No,No,26.9,Low,None,Average,East,High,Secondary,Good,Regularly,No,None,2015,Alive
+P102430,57,Male,Current,3,7,Medium,Diesel Fumes,Moderate,Yes,No,26.3,Moderate,Moderate,Good,North,High,Secondary,Poor,Never,No,None,2016,Alive
+P102431,60,Female,Former,28,18,High,Diesel Fumes,Low,No,No,22.7,Moderate,Moderate,Good,North,High,Tertiary,Poor,Regularly,Yes,Stage II,2002,Alive
+P102432,43,Male,Former,14,29,Medium,Asbestos,Moderate,No,No,27.6,Moderate,Moderate,Average,West,Middle,Tertiary,Average,Never,No,None,2021,Deceased
+P102433,52,Male,Current,0,14,High,Silica,Moderate,No,No,32.8,Moderate,Moderate,Good,West,High,Secondary,Poor,Regularly,No,None,2006,Deceased
+P102434,64,Female,Current,29,35,High,Diesel Fumes,Low,No,No,14.9,Moderate,None,Average,West,High,Secondary,Poor,Never,No,None,2024,Alive
+P102435,39,Female,Never,28,26,Low,None,Moderate,Yes,Yes,24.3,High,High,Average,East,High,Secondary,Good,Occasionally,No,None,2004,Deceased
+P102436,65,Male,Current,19,12,High,Silica,High,No,No,31.7,High,Moderate,Good,South,Low,Tertiary,Poor,Occasionally,Yes,None,2020,Alive
+P102437,63,Male,Never,32,13,Medium,Diesel Fumes,Moderate,Yes,No,19.3,Moderate,None,Good,East,Middle,Tertiary,Poor,Regularly,No,Stage III,2002,Alive
+P102438,26,Female,Never,40,36,Medium,Silica,High,Yes,No,25.7,Moderate,Moderate,Good,East,Middle,Primary,Poor,Regularly,No,None,2011,Alive
+P102439,87,Male,Current,43,29,High,Asbestos,High,Yes,No,21.6,Moderate,Moderate,Good,North,Middle,Tertiary,Poor,Never,Yes,None,2018,Alive
+P102440,53,Female,Former,35,38,Low,Diesel Fumes,Moderate,Yes,No,23.7,Low,Moderate,Poor,West,Middle,Secondary,Average,Never,Yes,None,2008,Alive
+P102441,75,Female,Current,21,12,High,None,High,No,Yes,16.1,Low,None,Average,South,Low,Tertiary,Good,Regularly,No,None,2002,Alive
+P102442,34,Male,Never,12,15,High,None,High,No,No,29.9,Moderate,Moderate,Average,West,Low,Tertiary,Good,Regularly,No,Stage III,2002,Alive
+P102443,38,Male,Former,6,6,Medium,Asbestos,Moderate,No,No,25.8,Moderate,Moderate,Average,West,Low,Tertiary,Good,Occasionally,Yes,None,2015,Alive
+P102444,75,Female,Current,7,26,Low,Asbestos,Low,Yes,No,17.8,Low,High,Average,West,Low,Secondary,Poor,Regularly,Yes,Stage II,2024,Alive
+P102445,63,Male,Current,27,34,Low,Asbestos,Low,Yes,Yes,27.1,Low,None,Poor,South,Low,Primary,Average,Occasionally,Yes,None,2019,Alive
+P102446,52,Female,Never,44,14,Low,Asbestos,High,Yes,Yes,26.0,Low,High,Good,North,Middle,Primary,Good,Regularly,No,None,2012,Alive
+P102447,27,Female,Former,42,27,Low,Asbestos,High,No,No,21.6,Low,High,Good,South,Middle,Secondary,Average,Occasionally,Yes,None,2005,Alive
+P102448,51,Female,Current,8,34,Medium,Diesel Fumes,Low,No,No,34.8,Low,High,Good,South,Middle,Secondary,Good,Occasionally,No,None,2000,Alive
+P102449,26,Male,Never,24,6,Low,Diesel Fumes,High,No,No,27.6,Moderate,High,Average,North,Low,Primary,Average,Occasionally,Yes,None,2010,Alive
+P102450,62,Female,Current,15,19,Low,Silica,Low,Yes,Yes,31.5,Moderate,Moderate,Poor,South,High,Secondary,Poor,Never,No,None,2017,Alive
+P102451,27,Female,Current,9,31,Low,Asbestos,Moderate,Yes,No,24.2,Low,High,Poor,South,Middle,Tertiary,Poor,Occasionally,No,None,2002,Alive
+P102452,40,Female,Never,10,37,Medium,None,High,No,No,16.9,Moderate,None,Good,East,Middle,Tertiary,Good,Regularly,No,None,2017,Alive
+P102453,64,Female,Never,30,39,Medium,None,Moderate,Yes,No,13.4,Low,Moderate,Average,South,High,Primary,Good,Regularly,No,None,2010,Alive
+P102454,26,Female,Never,11,31,Low,Asbestos,Low,Yes,No,19.9,Low,High,Good,East,Low,Tertiary,Good,Regularly,No,None,2014,Deceased
+P102455,65,Female,Current,30,25,Medium,Asbestos,Low,No,No,31.7,Low,High,Average,East,High,Primary,Poor,Never,Yes,Stage I,2002,Alive
+P102456,36,Female,Never,13,38,High,Asbestos,Moderate,Yes,No,22.5,Moderate,None,Good,East,High,Secondary,Poor,Occasionally,No,None,2011,Alive
+P102457,59,Female,Former,43,19,Low,Asbestos,High,Yes,No,30.2,Moderate,None,Good,West,Middle,Primary,Good,Never,No,Stage II,2020,Alive
+P102458,89,Female,Former,31,17,Medium,Asbestos,Moderate,No,No,19.2,Moderate,High,Poor,North,Middle,Primary,Good,Occasionally,Yes,None,2011,Alive
+P102459,79,Female,Former,49,14,Low,None,Moderate,Yes,No,21.7,Moderate,High,Average,West,Low,Tertiary,Poor,Regularly,Yes,None,2016,Alive
+P102460,69,Female,Never,16,21,Low,Silica,High,Yes,No,22.4,High,High,Poor,North,High,Primary,Good,Occasionally,No,None,2000,Alive
+P102461,86,Male,Never,34,21,Medium,Asbestos,Low,Yes,No,26.1,Low,High,Poor,South,Low,Primary,Good,Never,Yes,None,2010,Alive
+P102462,73,Female,Current,0,20,High,Asbestos,Moderate,Yes,No,18.2,Low,High,Good,East,High,Primary,Good,Never,No,None,2022,Alive
+P102463,49,Female,Current,28,1,Low,Asbestos,Moderate,No,No,21.0,Moderate,None,Average,West,Middle,Secondary,Poor,Never,Yes,None,2024,Alive
+P102464,47,Female,Current,3,39,High,Diesel Fumes,Low,No,No,23.8,Moderate,None,Average,South,High,Tertiary,Poor,Never,No,None,2014,Deceased
+P102465,48,Male,Never,22,17,Medium,None,Moderate,Yes,No,18.3,High,Moderate,Good,West,Low,Tertiary,Average,Regularly,No,None,2008,Alive
+P102466,62,Female,Former,27,22,Low,None,Low,No,No,16.2,Low,Moderate,Good,South,High,Primary,Average,Never,No,None,2006,Alive
+P102467,52,Male,Current,15,12,Medium,Silica,High,No,No,25.1,Low,None,Good,West,Low,Primary,Average,Never,No,None,2010,Alive
+P102468,45,Female,Never,11,8,Medium,Diesel Fumes,Low,No,No,18.4,Moderate,Moderate,Average,South,High,Secondary,Average,Never,No,None,2017,Alive
+P102469,78,Female,Current,20,6,Medium,Diesel Fumes,Low,Yes,No,31.1,Moderate,High,Good,South,Middle,Tertiary,Good,Regularly,No,Stage III,2022,Alive
+P102470,42,Male,Current,44,0,Medium,Diesel Fumes,Moderate,Yes,No,31.2,High,Moderate,Good,West,Middle,Tertiary,Poor,Occasionally,No,None,2024,Deceased
+P102471,60,Female,Never,16,1,Low,Silica,Low,No,No,22.1,Low,High,Poor,South,Low,Primary,Poor,Regularly,No,Stage IV,2006,Alive
+P102472,69,Male,Current,39,3,High,Silica,Low,No,No,28.0,High,High,Good,East,Middle,Secondary,Average,Regularly,Yes,Stage IV,2017,Alive
+P102473,77,Male,Current,12,13,High,Silica,Moderate,No,No,25.3,Low,Moderate,Good,East,High,Secondary,Good,Regularly,No,None,2014,Alive
+P102474,54,Female,Never,31,31,Low,Diesel Fumes,Low,No,No,30.3,Moderate,Moderate,Average,East,High,Primary,Poor,Occasionally,No,None,2015,Alive
+P102475,84,Female,Former,36,35,Low,None,Moderate,Yes,No,22.7,High,High,Good,East,Middle,Primary,Poor,Never,No,Stage IV,2014,Alive
+P102476,56,Female,Former,49,1,High,Diesel Fumes,High,No,No,27.6,Moderate,None,Average,North,Low,Primary,Good,Regularly,No,None,2022,Alive
+P102477,52,Female,Former,14,39,High,Silica,Low,Yes,No,26.6,Low,Moderate,Poor,West,High,Primary,Good,Never,Yes,None,2003,Alive
+P102478,68,Male,Never,11,13,Low,Diesel Fumes,High,Yes,No,26.3,Low,Moderate,Poor,East,Low,Primary,Average,Never,No,Stage I,2023,Alive
+P102479,65,Male,Former,48,19,Medium,Asbestos,Low,Yes,No,21.9,High,None,Average,East,High,Secondary,Average,Occasionally,No,None,2002,Deceased
+P102480,87,Female,Current,14,24,Low,Diesel Fumes,Low,Yes,No,30.9,Moderate,Moderate,Good,East,Low,Secondary,Good,Occasionally,Yes,None,2013,Deceased
+P102481,47,Male,Former,33,7,High,Diesel Fumes,High,Yes,No,23.0,Low,High,Average,North,Low,Primary,Poor,Regularly,No,None,2020,Alive
+P102482,72,Male,Never,5,27,Medium,None,High,Yes,No,22.9,Low,None,Good,West,High,Primary,Good,Occasionally,No,None,2002,Alive
+P102483,56,Female,Current,16,20,High,None,Moderate,Yes,No,21.4,High,None,Good,South,High,Tertiary,Good,Occasionally,No,None,2022,Alive
+P102484,81,Male,Former,47,22,Medium,None,Moderate,No,No,21.7,High,High,Good,North,Low,Secondary,Poor,Occasionally,No,None,2015,Deceased
+P102485,57,Male,Current,48,31,High,Asbestos,High,Yes,No,23.8,Moderate,High,Average,East,High,Secondary,Poor,Never,No,None,2014,Alive
+P102486,48,Female,Former,19,7,Medium,None,Low,No,No,27.2,High,High,Poor,East,Middle,Primary,Average,Occasionally,No,None,2018,Deceased
+P102487,63,Male,Never,8,30,Low,Asbestos,Moderate,No,No,28.9,Low,None,Average,North,High,Secondary,Good,Regularly,No,Stage III,2009,Alive
+P102488,58,Female,Never,4,36,Low,Silica,Low,No,No,25.6,Moderate,High,Good,West,Low,Secondary,Average,Occasionally,No,None,2020,Alive
+P102489,80,Male,Current,22,15,Medium,None,Moderate,No,No,32.1,Moderate,Moderate,Average,West,High,Secondary,Good,Regularly,Yes,None,2016,Deceased
+P102490,52,Female,Never,32,39,Medium,Diesel Fumes,Moderate,No,No,25.6,Moderate,Moderate,Poor,South,High,Tertiary,Good,Regularly,No,None,2003,Deceased
+P102491,61,Male,Current,37,26,Low,Diesel Fumes,Moderate,Yes,No,16.0,Low,High,Average,North,Low,Secondary,Poor,Occasionally,No,Stage IV,2021,Alive
+P102492,31,Male,Never,13,39,Low,Asbestos,High,Yes,Yes,19.2,High,Moderate,Poor,West,High,Primary,Good,Never,No,None,2017,Alive
+P102493,61,Female,Former,16,17,Medium,None,Low,No,No,28.5,Moderate,Moderate,Poor,North,Low,Secondary,Good,Regularly,No,None,2021,Alive
+P102494,80,Female,Former,18,34,Medium,Diesel Fumes,High,No,No,23.4,Low,None,Good,West,Low,Secondary,Poor,Regularly,No,None,2009,Alive
+P102495,89,Female,Current,32,14,Low,Silica,Moderate,No,No,23.0,High,High,Poor,West,Low,Tertiary,Poor,Regularly,Yes,None,2022,Alive
+P102496,89,Female,Current,0,26,High,None,High,Yes,No,20.2,Moderate,Moderate,Average,East,Low,Secondary,Poor,Occasionally,No,None,2015,Deceased
+P102497,71,Male,Never,12,16,Low,Silica,High,No,No,23.0,High,High,Average,West,Middle,Tertiary,Good,Regularly,No,None,2023,Alive
+P102498,44,Male,Former,45,39,Medium,Diesel Fumes,High,Yes,No,23.1,High,High,Good,West,Middle,Tertiary,Poor,Occasionally,No,None,2002,Alive
+P102499,43,Male,Never,26,1,Medium,None,Low,Yes,Yes,27.5,High,Moderate,Average,North,Low,Tertiary,Good,Regularly,Yes,None,2011,Alive
+P102500,53,Female,Former,5,30,High,Asbestos,High,No,No,23.8,Low,Moderate,Good,West,High,Secondary,Average,Never,No,None,2018,Alive
+P102501,84,Male,Former,5,36,Low,Diesel Fumes,High,Yes,No,31.4,Moderate,None,Average,West,Middle,Primary,Poor,Regularly,Yes,None,2020,Alive
+P102502,42,Male,Current,32,33,Medium,Silica,High,Yes,No,21.7,Moderate,None,Average,North,Low,Primary,Average,Occasionally,No,None,2002,Alive
+P102503,59,Female,Current,29,33,Low,None,High,Yes,Yes,26.0,Moderate,None,Poor,West,Middle,Secondary,Average,Occasionally,No,None,2008,Alive
+P102504,67,Female,Former,45,2,Medium,Silica,High,No,No,16.7,Low,Moderate,Poor,North,Low,Tertiary,Poor,Regularly,No,None,2006,Alive
+P102505,35,Male,Former,34,16,High,Silica,High,No,No,28.3,High,None,Poor,North,Middle,Primary,Poor,Occasionally,No,None,2015,Deceased
+P102506,73,Female,Current,22,13,Low,Asbestos,High,No,No,17.9,Low,High,Average,North,Low,Secondary,Good,Never,No,None,2020,Alive
+P102507,62,Male,Current,9,13,Low,Asbestos,Moderate,No,No,27.9,Moderate,None,Good,North,Middle,Primary,Poor,Occasionally,No,None,2020,Alive
+P102508,88,Male,Never,18,37,High,Diesel Fumes,High,No,No,15.8,High,None,Good,East,Middle,Secondary,Average,Regularly,Yes,None,2000,Alive
+P102509,32,Female,Former,27,34,Medium,Asbestos,High,No,No,19.8,Low,None,Good,East,High,Tertiary,Average,Never,No,None,2024,Deceased
+P102510,58,Male,Former,22,0,Medium,Asbestos,Low,No,No,29.2,Low,High,Poor,East,Middle,Primary,Average,Occasionally,Yes,None,2014,Alive
+P102511,72,Female,Never,3,28,Low,Diesel Fumes,Moderate,No,No,32.8,Low,High,Average,East,High,Secondary,Good,Regularly,No,Stage II,2001,Alive
+P102512,80,Female,Never,19,3,High,Diesel Fumes,High,Yes,No,11.4,Low,Moderate,Poor,North,Middle,Secondary,Good,Occasionally,No,None,2015,Deceased
+P102513,89,Male,Never,18,32,Low,Diesel Fumes,Low,No,No,19.6,High,None,Average,North,Low,Primary,Poor,Regularly,Yes,None,2006,Alive
+P102514,55,Male,Current,41,16,Low,Diesel Fumes,High,Yes,No,34.1,Low,High,Average,North,High,Secondary,Poor,Occasionally,No,Stage III,2013,Alive
+P102515,28,Male,Never,26,27,Medium,Silica,High,Yes,No,25.7,High,High,Average,North,Middle,Primary,Poor,Occasionally,No,None,2022,Alive
+P102516,74,Female,Never,33,25,Medium,Silica,High,No,No,19.8,Low,High,Poor,East,High,Secondary,Average,Never,No,None,2001,Deceased
+P102517,54,Male,Never,3,7,Medium,Diesel Fumes,High,Yes,Yes,32.4,Moderate,Moderate,Average,West,Low,Primary,Average,Never,No,None,2023,Alive
+P102518,83,Female,Current,37,33,Medium,Diesel Fumes,High,Yes,No,27.9,Low,Moderate,Poor,East,Low,Tertiary,Average,Occasionally,No,None,2023,Alive
+P102519,69,Female,Current,6,17,Medium,None,Low,No,No,25.6,Low,Moderate,Poor,North,Low,Primary,Poor,Regularly,Yes,None,2024,Deceased
+P102520,28,Male,Former,47,30,High,None,High,Yes,No,15.4,Moderate,None,Average,North,Low,Secondary,Poor,Regularly,No,None,2017,Alive
+P102521,50,Female,Former,6,26,Low,None,Low,No,No,35.5,High,High,Average,West,Low,Tertiary,Average,Occasionally,No,None,2000,Alive
+P102522,51,Male,Current,49,15,High,Asbestos,High,Yes,No,26.3,Low,Moderate,Average,North,High,Tertiary,Poor,Occasionally,No,None,2015,Alive
+P102523,70,Male,Never,25,9,Low,Silica,Low,Yes,No,23.5,Low,Moderate,Poor,West,High,Primary,Good,Never,No,None,2008,Alive
+P102524,88,Male,Never,25,39,Medium,Silica,Moderate,No,No,32.3,Moderate,High,Average,North,Middle,Primary,Poor,Occasionally,No,None,2002,Alive
+P102525,75,Male,Never,18,11,High,None,High,Yes,Yes,20.4,High,High,Average,West,Middle,Primary,Average,Occasionally,No,Stage III,2012,Alive
+P102526,74,Male,Never,8,21,Low,None,Moderate,Yes,No,19.5,Moderate,None,Good,South,Low,Tertiary,Poor,Regularly,No,None,2001,Alive
+P102527,30,Male,Former,19,15,Medium,Silica,Moderate,No,No,20.1,Low,None,Good,South,Low,Tertiary,Good,Never,No,Stage IV,2017,Deceased
+P102528,83,Male,Current,41,11,Medium,Asbestos,Moderate,No,No,23.1,High,None,Good,South,High,Primary,Average,Never,No,None,2001,Alive
+P102529,39,Female,Current,44,10,High,None,High,Yes,No,25.1,Low,Moderate,Average,South,Low,Secondary,Poor,Occasionally,Yes,None,2007,Alive
+P102530,54,Male,Former,49,19,High,Diesel Fumes,Moderate,Yes,No,28.2,Moderate,Moderate,Poor,North,Low,Tertiary,Poor,Never,No,None,2002,Alive
+P102531,66,Female,Current,15,0,High,None,Low,No,No,18.7,Low,High,Good,North,Low,Primary,Poor,Regularly,No,Stage II,2016,Alive
+P102532,61,Female,Never,16,26,Medium,Silica,High,Yes,No,26.5,Moderate,None,Poor,North,Middle,Secondary,Poor,Occasionally,No,None,2023,Alive
+P102533,66,Female,Never,21,2,Low,Silica,Moderate,No,No,22.0,Moderate,High,Good,South,High,Primary,Good,Occasionally,No,Stage II,2001,Alive
+P102534,59,Male,Former,12,11,Low,None,High,No,No,24.5,High,None,Good,West,Middle,Tertiary,Poor,Regularly,No,None,2005,Alive
+P102535,30,Female,Current,11,29,High,None,Moderate,No,No,31.0,Moderate,None,Poor,West,Low,Tertiary,Poor,Never,No,None,2007,Alive
+P102536,42,Female,Never,9,8,Low,Diesel Fumes,Low,Yes,No,27.5,High,None,Good,South,Low,Primary,Average,Never,Yes,None,2024,Alive
+P102537,53,Male,Former,0,36,Medium,Diesel Fumes,High,Yes,No,27.9,High,None,Poor,North,Middle,Secondary,Good,Regularly,No,None,2016,Alive
+P102538,83,Male,Current,31,0,Low,Asbestos,High,Yes,No,21.9,High,High,Average,South,Middle,Tertiary,Average,Regularly,No,None,2024,Alive
+P102539,71,Female,Current,29,3,Medium,Asbestos,Moderate,No,No,34.6,High,High,Average,East,High,Primary,Good,Regularly,No,None,2023,Alive
+P102540,41,Male,Current,7,14,High,Diesel Fumes,Low,Yes,No,28.4,High,Moderate,Poor,West,Low,Primary,Poor,Regularly,Yes,None,2005,Alive
+P102541,46,Male,Former,20,26,Low,Asbestos,High,No,No,22.9,Moderate,None,Poor,South,Low,Secondary,Good,Never,Yes,None,2011,Alive
+P102542,61,Male,Never,21,7,Medium,Asbestos,Moderate,Yes,No,30.7,Moderate,High,Average,South,Middle,Secondary,Average,Never,No,None,2020,Alive
+P102543,73,Male,Former,17,22,High,None,Low,No,No,27.8,High,None,Poor,South,High,Tertiary,Poor,Regularly,No,None,2015,Alive
+P102544,37,Female,Never,1,14,High,Diesel Fumes,Low,No,No,18.7,Moderate,None,Average,South,High,Secondary,Average,Regularly,No,None,2005,Deceased
+P102545,58,Male,Current,47,26,High,None,Low,Yes,No,26.0,High,Moderate,Average,North,Low,Secondary,Average,Occasionally,No,None,2001,Alive
+P102546,77,Male,Former,43,30,High,None,Low,No,No,20.2,Moderate,Moderate,Poor,West,Low,Tertiary,Good,Occasionally,Yes,None,2002,Alive
+P102547,75,Male,Former,8,38,Low,Asbestos,High,Yes,No,14.8,High,High,Good,East,Middle,Primary,Poor,Never,No,None,2008,Alive
+P102548,27,Female,Current,2,7,Medium,None,High,Yes,No,22.8,Low,High,Poor,North,Low,Tertiary,Average,Occasionally,No,None,2018,Alive
+P102549,66,Female,Former,25,29,Low,Silica,Low,Yes,No,30.7,Low,Moderate,Average,South,Middle,Tertiary,Average,Occasionally,No,None,2009,Deceased
+P102550,56,Male,Former,20,17,Medium,Asbestos,Moderate,Yes,No,32.4,High,High,Good,South,Low,Secondary,Good,Occasionally,No,None,2022,Alive
+P102551,75,Male,Current,29,3,High,Silica,Moderate,Yes,No,22.4,Moderate,High,Good,South,Low,Secondary,Average,Never,No,Stage I,2012,Alive
+P102552,70,Female,Current,27,21,Low,Asbestos,Low,No,No,23.6,High,Moderate,Average,South,Low,Primary,Poor,Occasionally,No,Stage II,2019,Alive
+P102553,45,Male,Current,35,2,High,None,Low,Yes,No,32.0,Moderate,None,Good,West,High,Secondary,Poor,Regularly,Yes,Stage IV,2012,Deceased
+P102554,68,Male,Never,25,14,Medium,Asbestos,Moderate,No,No,28.4,High,None,Good,South,Low,Primary,Good,Never,No,None,2024,Alive
+P102555,35,Female,Former,33,34,High,Silica,Low,Yes,No,27.4,High,Moderate,Poor,East,Low,Primary,Average,Occasionally,No,None,2019,Alive
+P102556,25,Male,Current,7,37,Low,Asbestos,Low,No,No,25.7,Moderate,None,Average,North,High,Primary,Good,Never,No,None,2014,Alive
+P102557,87,Male,Never,9,32,Low,Silica,High,No,No,28.6,Moderate,None,Good,West,High,Tertiary,Good,Occasionally,No,None,2012,Alive
+P102558,48,Female,Never,47,13,Medium,Diesel Fumes,High,Yes,No,24.9,High,Moderate,Average,South,Low,Secondary,Average,Never,No,None,2012,Alive
+P102559,37,Female,Current,42,0,Medium,None,Low,No,No,32.6,Low,High,Poor,East,High,Secondary,Poor,Regularly,No,None,2005,Deceased
+P102560,35,Male,Never,49,25,Low,Silica,Low,Yes,No,24.4,Low,Moderate,Poor,North,High,Primary,Good,Occasionally,No,None,2017,Deceased
+P102561,75,Female,Current,13,7,Low,Diesel Fumes,High,Yes,No,24.3,Low,Moderate,Poor,North,High,Secondary,Poor,Occasionally,No,Stage IV,2006,Alive
+P102562,41,Male,Former,39,15,Low,None,Low,Yes,No,14.7,Low,None,Good,West,High,Primary,Poor,Never,Yes,Stage II,2002,Alive
+P102563,48,Male,Former,14,37,Low,Diesel Fumes,High,No,No,30.3,Low,Moderate,Poor,North,Middle,Secondary,Average,Regularly,No,None,2000,Alive
+P102564,43,Male,Never,16,9,Medium,Silica,High,No,No,20.2,Moderate,None,Average,South,Low,Tertiary,Average,Occasionally,No,None,2011,Alive
+P102565,61,Female,Current,17,36,Low,None,Moderate,No,No,13.1,Low,Moderate,Poor,South,Middle,Secondary,Poor,Regularly,No,None,2022,Alive
+P102566,32,Female,Former,31,25,Medium,Diesel Fumes,High,No,Yes,24.1,Moderate,High,Good,East,Low,Primary,Poor,Occasionally,No,None,2004,Alive
+P102567,52,Male,Former,37,27,Low,Silica,Moderate,Yes,No,23.3,Low,None,Poor,East,High,Tertiary,Poor,Regularly,No,None,2010,Alive
+P102568,29,Male,Current,22,11,Low,Diesel Fumes,Moderate,Yes,Yes,27.2,Moderate,Moderate,Good,North,Middle,Secondary,Good,Occasionally,No,Stage III,2011,Alive
+P102569,41,Female,Current,45,19,High,None,High,No,No,28.2,Low,None,Average,West,High,Tertiary,Poor,Never,Yes,None,2022,Alive
+P102570,60,Female,Current,22,13,High,None,Low,No,No,20.9,Low,Moderate,Poor,South,High,Primary,Good,Never,Yes,None,2015,Alive
+P102571,43,Female,Former,34,34,Low,None,High,Yes,Yes,38.6,Moderate,Moderate,Poor,North,High,Primary,Average,Regularly,No,Stage I,2000,Alive
+P102572,88,Male,Former,38,28,Medium,Silica,Moderate,No,No,24.0,Moderate,Moderate,Average,West,Low,Secondary,Average,Occasionally,No,None,2020,Alive
+P102573,35,Female,Current,14,11,Low,Diesel Fumes,High,Yes,No,16.6,High,None,Average,North,High,Primary,Poor,Occasionally,Yes,None,2017,Alive
+P102574,78,Female,Current,23,17,High,Diesel Fumes,High,No,Yes,32.9,Low,None,Good,West,Low,Secondary,Average,Regularly,No,None,2000,Deceased
+P102575,69,Male,Never,27,1,Low,Silica,Moderate,No,Yes,28.6,Low,High,Poor,East,Low,Primary,Poor,Occasionally,No,Stage I,2021,Alive
+P102576,71,Male,Never,15,1,High,None,High,No,No,27.0,Moderate,High,Poor,South,High,Primary,Good,Never,No,None,2004,Alive
+P102577,36,Male,Current,15,16,Low,Asbestos,High,Yes,No,22.8,Moderate,High,Poor,East,Low,Primary,Poor,Occasionally,No,None,2003,Alive
+P102578,45,Female,Former,39,9,Low,None,Moderate,Yes,No,25.2,Low,High,Poor,South,Middle,Secondary,Average,Never,No,Stage II,2000,Deceased
+P102579,35,Male,Current,38,17,Medium,Asbestos,Low,No,No,14.2,Low,Moderate,Average,West,Low,Secondary,Poor,Regularly,No,None,2014,Alive
+P102580,29,Male,Former,5,21,High,None,Moderate,No,No,23.6,Moderate,None,Poor,West,High,Secondary,Average,Occasionally,Yes,None,2004,Alive
+P102581,80,Male,Never,1,18,High,Silica,Moderate,No,No,37.3,Moderate,Moderate,Poor,North,High,Secondary,Good,Regularly,No,Stage III,2006,Alive
+P102582,44,Male,Current,12,0,High,Asbestos,High,No,Yes,20.2,Low,None,Poor,West,Middle,Primary,Average,Never,No,None,2016,Deceased
+P102583,65,Female,Never,43,23,Medium,Silica,Moderate,No,No,25.9,Moderate,None,Good,West,Middle,Tertiary,Average,Regularly,Yes,None,2019,Alive
+P102584,70,Male,Former,46,35,Low,Asbestos,High,No,No,16.6,Moderate,Moderate,Good,North,Low,Secondary,Average,Regularly,No,None,2005,Alive
+P102585,36,Female,Former,8,24,Medium,Diesel Fumes,High,No,No,22.4,Low,Moderate,Good,North,Low,Primary,Average,Occasionally,Yes,None,2012,Alive
+P102586,41,Female,Former,33,35,Low,Asbestos,High,No,No,18.7,High,None,Average,South,Middle,Primary,Average,Regularly,No,None,2023,Deceased
+P102587,43,Female,Current,16,30,Medium,Asbestos,Moderate,Yes,No,27.1,Moderate,High,Average,West,High,Secondary,Average,Regularly,Yes,None,2022,Alive
+P102588,50,Male,Current,26,30,Medium,Asbestos,Moderate,Yes,No,26.1,High,High,Average,North,High,Secondary,Poor,Occasionally,No,None,2014,Deceased
+P102589,72,Female,Current,28,1,High,Diesel Fumes,High,Yes,No,18.5,Moderate,None,Poor,South,Middle,Primary,Good,Regularly,No,Stage IV,2006,Alive
+P102590,76,Male,Never,36,18,Medium,Silica,Low,Yes,No,25.4,High,Moderate,Poor,South,Middle,Secondary,Poor,Never,No,None,2023,Alive
+P102591,79,Male,Never,42,11,Low,Diesel Fumes,Low,No,No,25.6,Moderate,Moderate,Average,East,High,Secondary,Good,Occasionally,No,Stage IV,2006,Alive
+P102592,57,Male,Former,21,9,Medium,Asbestos,Moderate,Yes,No,25.9,High,None,Good,North,High,Tertiary,Poor,Never,No,Stage III,2012,Alive
+P102593,86,Female,Current,23,30,Medium,None,High,Yes,No,29.3,High,Moderate,Poor,East,Low,Tertiary,Good,Occasionally,No,None,2003,Alive
+P102594,47,Male,Current,6,21,Low,Diesel Fumes,High,No,No,32.8,Moderate,None,Good,South,Middle,Secondary,Good,Regularly,No,None,2021,Alive
+P102595,39,Male,Current,33,22,High,None,Moderate,Yes,No,21.9,High,None,Poor,West,Middle,Tertiary,Poor,Never,No,None,2017,Alive
+P102596,51,Male,Former,47,22,Low,Diesel Fumes,Low,Yes,No,23.5,Low,None,Poor,North,Middle,Tertiary,Poor,Never,No,None,2007,Alive
+P102597,88,Female,Former,11,14,Low,Diesel Fumes,Moderate,Yes,Yes,24.1,Low,Moderate,Good,North,High,Secondary,Good,Never,No,None,2018,Alive
+P102598,75,Female,Former,22,25,Low,Asbestos,Moderate,Yes,No,18.5,Low,High,Average,South,Low,Primary,Average,Regularly,No,None,2015,Alive
+P102599,77,Female,Never,14,2,Medium,Silica,High,Yes,No,20.0,High,None,Good,North,High,Primary,Good,Never,Yes,None,2019,Alive
+P102600,75,Male,Never,32,22,Medium,Silica,Moderate,No,No,27.8,Moderate,Moderate,Average,South,Middle,Primary,Average,Never,Yes,None,2017,Alive
+P102601,71,Female,Current,12,19,Low,Asbestos,Low,No,Yes,34.6,High,High,Average,North,Middle,Primary,Good,Regularly,No,None,2015,Alive
+P102602,28,Male,Never,22,39,Low,Diesel Fumes,Moderate,No,No,19.8,Moderate,None,Poor,North,Middle,Tertiary,Average,Regularly,No,None,2015,Alive
+P102603,31,Male,Never,37,38,High,Silica,High,Yes,Yes,36.5,High,High,Poor,West,Middle,Tertiary,Poor,Regularly,No,None,2024,Alive
+P102604,59,Female,Never,31,7,Medium,Silica,Low,Yes,No,22.2,Moderate,Moderate,Poor,South,Middle,Secondary,Poor,Never,No,None,2001,Deceased
+P102605,72,Male,Current,44,17,Medium,Silica,High,Yes,No,31.1,High,High,Average,East,High,Secondary,Average,Never,No,None,2013,Alive
+P102606,69,Female,Former,49,5,Medium,Asbestos,Moderate,No,No,27.1,High,High,Average,West,Low,Primary,Average,Never,Yes,None,2021,Alive
+P102607,43,Male,Current,34,26,Medium,None,Moderate,Yes,No,26.0,Low,Moderate,Good,South,Middle,Primary,Average,Occasionally,Yes,None,2018,Alive
+P102608,87,Female,Current,0,35,Low,None,Moderate,Yes,No,22.9,High,None,Poor,North,Middle,Secondary,Average,Never,No,None,2015,Deceased
+P102609,62,Male,Former,46,14,Low,None,High,Yes,No,25.1,Low,Moderate,Poor,South,Middle,Secondary,Poor,Never,Yes,None,2021,Alive
+P102610,83,Male,Current,44,36,High,None,Moderate,Yes,No,21.4,Moderate,Moderate,Average,South,High,Primary,Good,Occasionally,No,None,2003,Deceased
+P102611,37,Male,Never,4,4,Medium,None,Low,No,No,29.7,Moderate,None,Poor,West,High,Tertiary,Poor,Occasionally,No,None,2012,Alive
+P102612,71,Male,Never,12,38,Medium,Silica,Low,No,No,30.6,Low,None,Average,South,Middle,Tertiary,Good,Never,No,None,2007,Alive
+P102613,85,Male,Current,4,8,Low,Silica,High,Yes,No,21.7,High,Moderate,Good,North,Middle,Tertiary,Poor,Occasionally,Yes,None,2002,Deceased
+P102614,55,Female,Current,31,6,High,Diesel Fumes,High,No,No,16.8,Moderate,None,Good,East,Middle,Tertiary,Average,Never,Yes,None,2023,Alive
+P102615,46,Male,Former,20,19,Low,Silica,High,No,No,23.4,High,None,Poor,East,Middle,Tertiary,Poor,Regularly,Yes,None,2002,Alive
+P102616,67,Female,Former,23,9,Medium,Asbestos,Moderate,No,No,34.9,High,Moderate,Good,North,Middle,Secondary,Poor,Regularly,No,None,2004,Deceased
+P102617,78,Female,Former,17,25,Medium,Diesel Fumes,Low,Yes,No,26.2,High,Moderate,Poor,East,High,Secondary,Average,Regularly,No,None,2010,Alive
+P102618,34,Female,Never,20,3,High,Silica,Low,No,No,30.8,Moderate,Moderate,Poor,West,Middle,Primary,Average,Regularly,No,None,2012,Alive
+P102619,66,Male,Never,9,37,Low,Diesel Fumes,Low,No,No,20.4,Moderate,Moderate,Average,South,Middle,Secondary,Poor,Occasionally,No,None,2001,Deceased
+P102620,88,Male,Never,23,23,Medium,Diesel Fumes,High,Yes,No,22.6,High,High,Average,South,Middle,Secondary,Poor,Never,No,None,2005,Alive
+P102621,45,Male,Never,39,13,Medium,None,High,No,Yes,23.4,Low,High,Poor,East,High,Secondary,Good,Occasionally,Yes,None,2006,Alive
+P102622,65,Female,Current,46,0,High,Diesel Fumes,Moderate,No,No,19.1,Low,None,Good,East,Middle,Secondary,Good,Regularly,No,None,2023,Alive
+P102623,48,Male,Never,20,16,Medium,Silica,High,No,No,25.8,Low,High,Good,East,High,Primary,Poor,Regularly,No,None,2003,Alive
+P102624,59,Male,Never,24,23,Medium,None,Low,Yes,No,20.9,High,High,Poor,West,Low,Secondary,Good,Never,No,None,2008,Alive
+P102625,80,Female,Former,22,26,Low,Silica,Moderate,Yes,No,29.7,Low,High,Poor,South,High,Secondary,Average,Occasionally,No,None,2017,Alive
+P102626,54,Female,Current,21,6,High,None,High,No,No,25.4,Moderate,None,Good,South,Middle,Primary,Poor,Regularly,No,None,2013,Deceased
+P102627,81,Female,Never,3,8,High,Silica,High,Yes,No,32.4,Low,High,Good,North,High,Secondary,Poor,Occasionally,Yes,None,2023,Deceased
+P102628,71,Female,Never,33,34,High,None,Low,Yes,Yes,16.6,Low,Moderate,Average,North,Middle,Primary,Good,Never,No,Stage III,2005,Alive
+P102629,59,Female,Former,5,11,Low,None,Moderate,Yes,No,22.3,High,Moderate,Average,West,High,Tertiary,Poor,Never,No,None,2019,Alive
+P102630,43,Female,Current,27,20,High,Asbestos,High,No,No,23.0,Moderate,None,Good,South,High,Tertiary,Poor,Occasionally,No,None,2001,Alive
+P102631,32,Male,Former,30,2,Medium,Silica,High,No,No,27.3,Moderate,None,Average,South,Low,Secondary,Average,Never,No,None,2003,Alive
+P102632,50,Female,Current,34,14,High,Diesel Fumes,Moderate,Yes,No,22.9,Low,None,Average,North,High,Secondary,Poor,Occasionally,No,None,2014,Alive
+P102633,54,Male,Current,38,20,Medium,None,Moderate,No,No,33.6,High,High,Poor,North,Low,Secondary,Good,Occasionally,No,None,2002,Alive
+P102634,31,Male,Current,41,9,High,Silica,High,Yes,No,24.1,High,None,Average,South,Low,Secondary,Average,Occasionally,No,None,2003,Deceased
+P102635,89,Male,Current,22,32,High,None,High,Yes,No,20.5,Low,None,Average,West,High,Tertiary,Good,Regularly,Yes,None,2003,Alive
+P102636,60,Female,Former,5,5,Low,Asbestos,Low,No,No,24.2,Moderate,None,Poor,East,High,Tertiary,Poor,Regularly,Yes,None,2014,Alive
+P102637,49,Male,Never,15,1,High,Asbestos,Moderate,Yes,No,23.4,Moderate,Moderate,Good,West,High,Secondary,Good,Occasionally,No,None,2010,Alive
+P102638,61,Female,Current,1,28,High,Asbestos,High,Yes,No,29.6,Moderate,None,Average,South,Low,Primary,Good,Never,No,Stage III,2022,Alive
+P102639,25,Female,Former,23,39,Low,Asbestos,High,Yes,No,22.9,High,Moderate,Average,East,Middle,Primary,Average,Never,No,None,2016,Deceased
+P102640,39,Male,Never,16,32,Medium,Diesel Fumes,High,Yes,Yes,17.4,Low,Moderate,Good,West,Middle,Tertiary,Poor,Regularly,No,Stage I,2014,Deceased
+P102641,61,Female,Current,44,3,High,Diesel Fumes,High,No,Yes,25.9,High,None,Average,West,Low,Primary,Average,Occasionally,No,None,2024,Alive
+P102642,37,Male,Never,0,3,High,None,Low,Yes,No,21.7,Moderate,None,Good,South,Low,Secondary,Poor,Regularly,Yes,Stage II,2020,Alive
+P102643,32,Male,Former,5,28,Medium,Silica,Moderate,No,No,19.2,High,High,Poor,North,High,Secondary,Average,Occasionally,No,Stage I,2002,Alive
+P102644,29,Female,Former,4,36,Low,Asbestos,High,Yes,No,25.1,Moderate,None,Good,West,High,Secondary,Poor,Never,No,None,2022,Alive
+P102645,84,Male,Former,44,19,High,Asbestos,Moderate,No,No,24.3,Low,None,Good,West,Middle,Secondary,Average,Never,No,None,2022,Alive
+P102646,25,Male,Current,49,22,Low,Diesel Fumes,Moderate,Yes,No,23.9,Moderate,None,Good,North,Middle,Secondary,Poor,Regularly,No,None,2023,Deceased
+P102647,60,Male,Never,28,17,Medium,Diesel Fumes,High,Yes,No,26.3,Low,None,Poor,West,Middle,Primary,Average,Never,No,None,2009,Alive
+P102648,59,Female,Former,11,24,Medium,Asbestos,High,No,No,22.1,High,None,Good,West,High,Primary,Good,Occasionally,No,Stage III,2003,Alive
+P102649,87,Male,Former,38,0,Low,Silica,High,No,No,25.6,High,None,Good,North,High,Tertiary,Average,Never,No,None,2012,Deceased
+P102650,47,Female,Current,46,14,Medium,None,Low,Yes,No,22.1,High,High,Poor,South,Low,Tertiary,Good,Never,No,None,2024,Deceased
+P102651,33,Female,Current,2,33,Medium,None,High,Yes,No,29.1,Moderate,High,Average,South,High,Primary,Average,Regularly,Yes,None,2001,Deceased
+P102652,58,Male,Former,47,19,High,None,Moderate,Yes,No,24.9,Low,None,Average,South,Middle,Primary,Good,Occasionally,Yes,None,2005,Alive
+P102653,70,Male,Current,0,36,Low,None,Moderate,Yes,No,33.7,High,High,Good,East,Low,Tertiary,Poor,Regularly,No,None,2018,Alive
+P102654,28,Female,Never,26,26,High,Silica,Low,Yes,Yes,22.5,High,Moderate,Poor,South,High,Secondary,Good,Regularly,No,None,2023,Alive
+P102655,54,Female,Current,47,21,Low,Silica,High,No,No,26.8,Low,High,Poor,East,Middle,Tertiary,Poor,Never,No,None,2007,Alive
+P102656,27,Male,Former,23,4,High,Silica,High,No,No,30.6,Moderate,Moderate,Good,East,High,Tertiary,Good,Occasionally,No,Stage I,2005,Alive
+P102657,38,Male,Current,43,33,Medium,Diesel Fumes,Low,Yes,No,27.7,High,None,Good,East,Low,Primary,Poor,Occasionally,No,None,2019,Alive
+P102658,84,Female,Never,18,38,Low,Asbestos,Low,No,No,25.7,Moderate,Moderate,Average,North,High,Tertiary,Good,Regularly,Yes,None,2013,Deceased
+P102659,69,Female,Never,7,2,Low,Silica,High,No,No,26.7,Moderate,None,Average,East,Middle,Tertiary,Average,Regularly,No,None,2007,Deceased
+P102660,58,Female,Former,43,16,Low,None,High,Yes,No,27.5,Moderate,High,Good,East,Low,Primary,Poor,Never,No,None,2005,Alive
+P102661,69,Female,Current,46,23,Low,Silica,Moderate,No,No,26.5,High,Moderate,Poor,North,Middle,Secondary,Poor,Occasionally,No,None,2011,Alive
+P102662,85,Female,Former,1,23,Medium,Asbestos,High,Yes,Yes,24.9,High,Moderate,Good,West,Low,Secondary,Good,Occasionally,No,Stage II,2008,Deceased
+P102663,40,Male,Current,29,2,Medium,Diesel Fumes,High,No,No,28.7,Low,Moderate,Poor,West,High,Secondary,Average,Never,No,None,2006,Alive
+P102664,64,Female,Former,29,6,Medium,None,Moderate,No,No,24.6,Low,None,Average,East,High,Primary,Poor,Regularly,Yes,None,2024,Alive
+P102665,41,Female,Former,48,24,High,Diesel Fumes,Moderate,No,No,20.1,Moderate,None,Good,South,Middle,Tertiary,Poor,Occasionally,No,None,2012,Alive
+P102666,58,Male,Never,38,2,Medium,Silica,Moderate,No,No,35.3,High,High,Poor,West,High,Secondary,Average,Never,No,None,2015,Deceased
+P102667,40,Male,Current,44,14,High,None,Moderate,No,No,29.4,Moderate,High,Average,South,Low,Tertiary,Average,Regularly,Yes,None,2007,Deceased
+P102668,84,Female,Never,31,28,High,None,Low,Yes,No,20.4,Low,None,Good,North,High,Primary,Average,Never,No,None,2013,Alive
+P102669,37,Female,Current,0,28,Medium,Silica,Moderate,No,No,23.8,Moderate,High,Good,West,High,Secondary,Poor,Occasionally,No,None,2015,Alive
+P102670,80,Male,Current,37,9,Medium,Silica,Low,Yes,No,22.2,Moderate,Moderate,Average,North,High,Secondary,Good,Regularly,No,None,2019,Alive
+P102671,55,Female,Current,12,31,Medium,Asbestos,Moderate,No,No,22.5,High,Moderate,Good,East,High,Tertiary,Good,Never,Yes,None,2005,Alive
+P102672,58,Female,Former,10,22,High,Silica,Moderate,No,No,29.3,Moderate,Moderate,Average,West,High,Secondary,Poor,Never,No,None,2022,Alive
+P102673,63,Male,Current,9,38,Low,Silica,Moderate,No,No,23.3,Moderate,High,Poor,East,High,Primary,Poor,Never,Yes,None,2003,Alive
+P102674,32,Female,Current,47,8,Medium,Silica,High,Yes,No,34.6,High,Moderate,Good,East,High,Tertiary,Poor,Occasionally,No,None,2003,Alive
+P102675,79,Male,Never,25,36,High,None,Low,No,No,16.2,High,Moderate,Average,North,High,Tertiary,Poor,Occasionally,No,None,2002,Alive
+P102676,51,Male,Current,19,39,High,Asbestos,Moderate,No,No,24.9,Low,None,Average,West,Middle,Secondary,Average,Occasionally,No,None,2009,Alive
+P102677,77,Male,Never,16,13,Medium,None,High,Yes,No,18.3,High,None,Poor,West,Middle,Secondary,Poor,Never,No,None,2005,Alive
+P102678,63,Male,Former,16,3,High,Silica,Low,Yes,No,26.6,Moderate,High,Good,West,High,Secondary,Poor,Occasionally,No,None,2017,Alive
+P102679,89,Female,Never,3,19,Medium,Asbestos,Low,Yes,No,27.2,Low,None,Average,East,Middle,Secondary,Poor,Never,No,None,2012,Alive
+P102680,41,Male,Never,4,27,High,Silica,High,No,No,29.5,Low,High,Average,West,High,Tertiary,Average,Never,No,Stage I,2010,Alive
+P102681,54,Female,Former,22,13,Low,None,Low,No,Yes,18.9,Low,High,Average,South,High,Tertiary,Average,Never,No,None,2003,Deceased
+P102682,77,Female,Former,45,33,High,None,High,No,No,27.2,Low,None,Good,South,High,Secondary,Average,Regularly,No,None,2007,Alive
+P102683,37,Female,Current,9,12,Medium,Silica,Moderate,No,Yes,20.6,Moderate,None,Good,East,Middle,Tertiary,Poor,Never,No,None,2002,Alive
+P102684,45,Female,Never,45,30,Low,Asbestos,High,Yes,No,25.5,Moderate,High,Poor,North,Low,Primary,Average,Occasionally,No,Stage III,2011,Alive
+P102685,43,Female,Former,27,32,Medium,None,Low,Yes,No,22.8,Moderate,High,Poor,South,High,Tertiary,Poor,Never,No,None,2012,Alive
+P102686,77,Male,Never,32,38,High,Silica,Low,No,No,18.7,Moderate,High,Poor,North,High,Primary,Poor,Occasionally,Yes,Stage III,2023,Alive
+P102687,43,Male,Former,42,27,Low,Diesel Fumes,Moderate,Yes,No,28.6,Low,Moderate,Good,West,Low,Primary,Good,Regularly,No,None,2022,Deceased
+P102688,81,Male,Current,25,24,Low,Silica,High,Yes,No,23.7,Moderate,Moderate,Average,South,Middle,Primary,Average,Regularly,No,None,2022,Alive
+P102689,49,Male,Former,49,31,High,Silica,Moderate,Yes,Yes,29.3,Low,None,Good,East,Low,Secondary,Good,Never,Yes,None,2010,Alive
+P102690,55,Female,Current,47,8,Low,Asbestos,High,No,No,29.6,High,Moderate,Good,East,High,Tertiary,Good,Occasionally,No,None,2008,Alive
+P102691,79,Male,Former,28,27,Low,Silica,High,Yes,No,31.6,Moderate,Moderate,Good,North,Low,Primary,Average,Regularly,Yes,Stage II,2003,Deceased
+P102692,47,Female,Current,26,30,Low,Diesel Fumes,High,No,No,22.5,High,High,Poor,East,High,Secondary,Average,Regularly,No,None,2010,Alive
+P102693,56,Female,Former,17,16,Medium,Silica,Moderate,No,No,20.4,High,Moderate,Average,North,Middle,Tertiary,Good,Regularly,No,None,2007,Alive
+P102694,86,Male,Former,39,22,Medium,Diesel Fumes,Moderate,No,No,31.0,Moderate,None,Good,North,Middle,Tertiary,Poor,Occasionally,No,None,2017,Alive
+P102695,34,Male,Current,9,12,Low,None,Low,Yes,No,25.5,Low,Moderate,Poor,South,Middle,Secondary,Good,Never,No,Stage IV,2002,Alive
+P102696,78,Male,Never,41,9,High,Silica,Moderate,Yes,No,31.7,High,Moderate,Good,South,High,Tertiary,Average,Never,No,None,2003,Alive
+P102697,76,Male,Current,4,15,High,Asbestos,High,Yes,No,19.1,Moderate,Moderate,Average,East,Middle,Secondary,Poor,Regularly,No,None,2024,Deceased
+P102698,44,Female,Current,9,5,Medium,Silica,High,Yes,No,28.4,High,None,Poor,North,Low,Secondary,Good,Never,No,None,2016,Alive
+P102699,56,Female,Former,49,10,High,Diesel Fumes,High,No,No,25.2,High,None,Good,South,Middle,Secondary,Good,Regularly,Yes,Stage I,2015,Deceased
+P102700,38,Male,Never,20,2,Low,Diesel Fumes,Moderate,No,No,24.8,Moderate,High,Poor,West,High,Tertiary,Good,Occasionally,No,None,2006,Deceased
+P102701,74,Female,Never,23,27,High,Asbestos,Low,No,No,23.4,High,Moderate,Average,East,Low,Secondary,Average,Never,No,None,2001,Alive
+P102702,52,Female,Current,37,14,Medium,Diesel Fumes,Moderate,Yes,No,19.4,Low,High,Average,East,Low,Secondary,Good,Occasionally,No,None,2004,Alive
+P102703,77,Female,Current,2,12,Medium,Silica,Low,Yes,No,28.3,Low,High,Poor,West,Low,Tertiary,Average,Never,Yes,None,2000,Alive
+P102704,48,Male,Never,39,16,Low,Diesel Fumes,Moderate,Yes,No,23.0,High,None,Good,West,Low,Primary,Poor,Occasionally,No,None,2021,Alive
+P102705,46,Female,Former,30,6,Medium,Silica,High,No,No,26.1,High,High,Average,West,High,Secondary,Poor,Occasionally,No,Stage III,2012,Deceased
+P102706,54,Male,Former,40,27,Medium,Silica,Low,No,No,34.7,Moderate,Moderate,Average,South,Middle,Secondary,Good,Never,No,None,2011,Alive
+P102707,87,Male,Current,36,37,Medium,Diesel Fumes,Moderate,Yes,No,22.3,Low,High,Good,West,Low,Primary,Average,Regularly,No,Stage IV,2018,Alive
+P102708,28,Female,Never,1,12,High,Asbestos,High,No,No,23.5,High,None,Poor,East,Middle,Tertiary,Good,Regularly,Yes,None,2021,Alive
+P102709,83,Female,Never,1,16,Medium,None,Low,No,No,24.2,Low,None,Poor,South,Middle,Tertiary,Poor,Occasionally,No,None,2007,Deceased
+P102710,32,Male,Current,38,14,High,Asbestos,Low,Yes,No,23.0,High,None,Good,North,Middle,Tertiary,Average,Occasionally,No,None,2007,Alive
+P102711,36,Female,Never,48,35,Medium,None,High,Yes,No,23.2,Moderate,Moderate,Average,West,Middle,Secondary,Poor,Regularly,No,None,2011,Alive
+P102712,55,Female,Never,41,27,Medium,Asbestos,High,No,No,28.5,Moderate,High,Average,East,High,Primary,Poor,Never,No,Stage III,2003,Deceased
+P102713,58,Male,Current,43,14,High,Silica,Moderate,Yes,No,31.6,Low,Moderate,Good,West,Low,Tertiary,Average,Never,Yes,Stage IV,2006,Deceased
+P102714,73,Male,Current,33,10,High,Silica,Moderate,No,No,25.6,Low,None,Good,North,Low,Primary,Average,Occasionally,No,Stage I,2015,Alive
+P102715,81,Male,Never,41,30,Low,Diesel Fumes,High,Yes,No,28.7,High,Moderate,Poor,South,Middle,Tertiary,Average,Never,No,None,2021,Alive
+P102716,50,Male,Never,19,3,Low,None,Moderate,No,Yes,24.1,High,None,Poor,North,Low,Secondary,Good,Occasionally,Yes,None,2017,Alive
+P102717,42,Female,Never,32,34,High,None,High,Yes,No,24.0,High,Moderate,Good,South,Middle,Tertiary,Good,Never,No,None,2005,Alive
+P102718,62,Female,Never,3,33,Medium,Diesel Fumes,High,Yes,No,23.0,Low,Moderate,Average,East,High,Primary,Average,Occasionally,Yes,Stage I,2017,Alive
+P102719,74,Male,Current,44,26,Low,Asbestos,Moderate,Yes,No,21.2,Moderate,High,Poor,East,Low,Primary,Average,Never,No,None,2003,Deceased
+P102720,32,Male,Former,43,9,High,Diesel Fumes,Moderate,No,No,31.2,Moderate,High,Good,East,Middle,Primary,Good,Occasionally,No,None,2020,Alive
+P102721,65,Male,Current,10,29,High,Asbestos,Low,No,No,22.5,Low,None,Average,North,Low,Secondary,Average,Regularly,Yes,None,2008,Alive
+P102722,30,Female,Current,41,19,Medium,Diesel Fumes,Low,Yes,No,28.1,Moderate,High,Poor,West,Middle,Tertiary,Poor,Regularly,No,None,2012,Alive
+P102723,68,Male,Former,46,28,High,None,Moderate,No,No,20.8,Low,High,Good,West,Low,Secondary,Average,Regularly,No,None,2018,Alive
+P102724,88,Female,Never,4,28,Low,None,Moderate,No,No,25.2,High,Moderate,Good,North,High,Secondary,Good,Regularly,No,None,2011,Alive
+P102725,53,Male,Former,24,22,Medium,Asbestos,Moderate,Yes,No,25.0,Low,None,Average,West,Low,Primary,Average,Occasionally,No,Stage IV,2015,Alive
+P102726,52,Male,Current,48,20,High,None,Low,Yes,No,20.9,Moderate,Moderate,Average,North,High,Primary,Average,Never,No,None,2004,Alive
+P102727,35,Male,Current,36,9,High,None,Moderate,Yes,No,23.3,Low,Moderate,Good,West,High,Secondary,Poor,Occasionally,No,None,2001,Alive
+P102728,89,Female,Never,33,11,Medium,None,Low,No,No,19.7,Low,High,Average,South,Middle,Secondary,Average,Occasionally,No,None,2002,Alive
+P102729,43,Female,Current,8,29,Medium,None,Low,Yes,No,25.1,Low,High,Good,East,Middle,Tertiary,Good,Occasionally,No,None,2012,Alive
+P102730,33,Female,Former,5,32,Medium,Silica,Low,No,No,16.2,Low,None,Average,West,Low,Primary,Good,Never,No,None,2020,Deceased
+P102731,51,Male,Current,17,17,Low,Diesel Fumes,Low,No,No,24.7,Moderate,High,Average,North,High,Primary,Poor,Occasionally,No,None,2006,Alive
+P102732,58,Female,Never,13,13,Low,Diesel Fumes,High,No,No,28.3,High,Moderate,Poor,South,Middle,Primary,Poor,Regularly,No,None,2012,Alive
+P102733,68,Female,Former,18,21,High,Silica,Moderate,Yes,No,24.9,Moderate,High,Poor,West,High,Tertiary,Good,Regularly,No,None,2015,Deceased
+P102734,39,Male,Current,13,20,High,None,Moderate,Yes,No,21.5,Moderate,None,Average,West,High,Tertiary,Average,Occasionally,No,None,2021,Alive
+P102735,75,Male,Former,39,0,Medium,Diesel Fumes,High,No,No,21.8,High,None,Good,North,High,Primary,Good,Regularly,Yes,None,2013,Alive
+P102736,37,Female,Former,16,14,High,Diesel Fumes,Moderate,No,No,31.0,Moderate,Moderate,Average,South,Low,Primary,Poor,Regularly,No,Stage III,2017,Deceased
+P102737,73,Female,Never,34,35,High,Diesel Fumes,Low,Yes,No,25.8,High,Moderate,Poor,East,High,Secondary,Good,Never,No,Stage III,2012,Deceased
+P102738,80,Female,Never,28,21,Medium,Asbestos,High,Yes,No,29.2,High,High,Good,North,High,Secondary,Poor,Occasionally,No,None,2013,Alive
+P102739,75,Female,Former,41,31,Low,Silica,Low,Yes,No,29.7,Low,None,Average,West,Low,Tertiary,Good,Occasionally,No,Stage I,2008,Alive
+P102740,61,Male,Current,16,32,Low,Asbestos,High,Yes,No,22.8,Moderate,Moderate,Average,East,Low,Primary,Average,Regularly,No,None,2007,Deceased
+P102741,41,Male,Never,42,38,Low,Asbestos,Low,Yes,No,20.0,High,High,Average,West,Middle,Secondary,Average,Occasionally,Yes,Stage I,2024,Alive
+P102742,82,Male,Former,7,22,High,Silica,Moderate,Yes,No,28.2,Moderate,High,Average,North,High,Secondary,Poor,Occasionally,Yes,None,2024,Alive
+P102743,53,Female,Current,0,1,Medium,Diesel Fumes,Moderate,Yes,No,20.7,Moderate,High,Poor,South,High,Primary,Average,Regularly,No,None,2004,Alive
+P102744,57,Female,Never,44,1,Low,Asbestos,Moderate,Yes,No,22.0,High,Moderate,Poor,East,Low,Primary,Poor,Regularly,No,Stage II,2022,Alive
+P102745,84,Male,Former,35,37,High,Diesel Fumes,High,Yes,No,25.5,Low,Moderate,Poor,North,Low,Secondary,Average,Occasionally,No,None,2006,Alive
+P102746,79,Male,Current,6,28,Medium,Asbestos,Moderate,No,No,23.7,High,High,Poor,North,Middle,Primary,Good,Never,Yes,None,2015,Alive
+P102747,34,Female,Current,45,2,Low,Diesel Fumes,High,Yes,No,13.4,Low,High,Good,East,Low,Primary,Average,Regularly,No,None,2009,Alive
+P102748,71,Female,Current,4,38,Low,None,Low,Yes,No,18.8,High,Moderate,Good,South,Low,Tertiary,Good,Occasionally,Yes,Stage III,2024,Alive
+P102749,47,Male,Current,23,6,Medium,None,Moderate,No,No,30.0,High,None,Good,West,Low,Secondary,Poor,Regularly,No,None,2024,Alive
+P102750,45,Male,Never,27,35,High,None,Low,Yes,No,24.6,Low,High,Average,East,Low,Secondary,Average,Occasionally,No,None,2021,Alive
+P102751,37,Male,Current,42,28,High,Silica,Moderate,Yes,No,28.7,Low,None,Good,North,Middle,Tertiary,Average,Occasionally,No,None,2002,Alive
+P102752,57,Female,Never,16,36,Low,None,Low,No,Yes,20.9,Moderate,None,Poor,East,High,Tertiary,Good,Never,No,Stage III,2023,Alive
+P102753,48,Female,Current,36,35,Medium,Asbestos,High,Yes,No,19.4,High,Moderate,Poor,East,High,Secondary,Poor,Regularly,Yes,None,2016,Alive
+P102754,35,Female,Never,19,22,High,Diesel Fumes,Moderate,No,No,28.6,Moderate,Moderate,Average,South,High,Secondary,Average,Never,No,None,2009,Alive
+P102755,41,Female,Current,2,15,Medium,Diesel Fumes,High,No,No,31.5,Moderate,None,Good,South,High,Primary,Poor,Regularly,No,None,2010,Alive
+P102756,71,Female,Current,36,30,Medium,Diesel Fumes,High,Yes,No,20.6,Low,Moderate,Average,West,High,Primary,Poor,Never,No,None,2019,Alive
+P102757,49,Female,Current,25,33,Low,Diesel Fumes,Low,No,No,30.1,Low,None,Average,East,Low,Secondary,Average,Regularly,Yes,None,2009,Alive
+P102758,45,Male,Never,14,0,Medium,Asbestos,Moderate,No,No,20.1,Moderate,None,Good,South,High,Primary,Good,Never,No,None,2017,Alive
+P102759,36,Male,Former,47,17,Medium,Diesel Fumes,High,No,No,16.8,Low,Moderate,Average,South,Low,Primary,Poor,Never,No,None,2020,Alive
+P102760,61,Female,Current,7,39,Medium,Asbestos,Low,No,No,27.9,High,Moderate,Good,North,High,Primary,Poor,Regularly,No,None,2022,Alive
+P102761,66,Male,Current,12,14,High,Asbestos,Low,Yes,No,20.2,Low,High,Good,South,High,Tertiary,Average,Never,No,None,2000,Alive
+P102762,41,Female,Never,47,16,Low,Diesel Fumes,Low,No,No,18.9,Low,Moderate,Average,East,Low,Secondary,Poor,Never,No,Stage I,2003,Deceased
+P102763,72,Male,Current,2,9,Low,Diesel Fumes,Moderate,No,No,19.1,High,High,Poor,East,High,Secondary,Average,Regularly,No,None,2002,Alive
+P102764,52,Female,Current,0,19,Medium,Diesel Fumes,Moderate,Yes,No,23.3,Low,Moderate,Good,North,Low,Secondary,Poor,Regularly,No,None,2019,Alive
+P102765,65,Male,Never,8,5,Medium,Asbestos,Low,No,No,16.5,Moderate,Moderate,Poor,North,Middle,Primary,Good,Occasionally,No,None,2005,Alive
+P102766,71,Male,Current,30,7,High,Silica,Moderate,Yes,No,28.0,Moderate,Moderate,Poor,North,Middle,Primary,Good,Regularly,Yes,None,2005,Alive
+P102767,42,Female,Former,40,33,Low,Asbestos,Low,No,No,27.4,Moderate,Moderate,Good,East,Middle,Tertiary,Good,Occasionally,No,None,2016,Alive
+P102768,37,Female,Former,25,31,High,Silica,Moderate,Yes,No,27.4,Low,None,Poor,East,High,Tertiary,Good,Never,Yes,Stage IV,2018,Deceased
+P102769,37,Male,Former,16,3,Low,Diesel Fumes,Moderate,No,No,31.0,Low,Moderate,Average,West,High,Secondary,Average,Regularly,No,None,2016,Alive
+P102770,55,Male,Former,33,38,High,Asbestos,Low,Yes,No,29.9,Low,None,Average,South,High,Tertiary,Average,Occasionally,No,None,2016,Alive
+P102771,26,Female,Current,8,19,Medium,Diesel Fumes,Low,No,Yes,20.5,Moderate,Moderate,Poor,North,High,Tertiary,Average,Regularly,No,None,2016,Alive
+P102772,40,Male,Former,12,23,High,Silica,Moderate,Yes,No,28.4,Low,Moderate,Average,South,Low,Primary,Average,Occasionally,No,None,2002,Alive
+P102773,33,Female,Current,4,23,Medium,Silica,Low,Yes,No,30.6,High,None,Good,South,Middle,Secondary,Average,Occasionally,Yes,Stage IV,2013,Alive
+P102774,62,Female,Current,40,25,Low,Asbestos,Low,Yes,No,29.1,Low,Moderate,Good,West,Low,Secondary,Good,Regularly,No,None,2001,Alive
+P102775,78,Male,Current,12,24,Low,Asbestos,Low,Yes,No,29.4,Moderate,High,Poor,East,Middle,Tertiary,Poor,Never,Yes,None,2003,Alive
+P102776,80,Female,Never,0,35,Medium,Asbestos,Low,Yes,No,24.2,High,High,Average,South,Middle,Primary,Poor,Never,Yes,Stage II,2022,Alive
+P102777,69,Male,Current,24,6,Low,Asbestos,Moderate,No,No,21.8,High,Moderate,Poor,North,Low,Tertiary,Good,Occasionally,Yes,None,2017,Alive
+P102778,58,Male,Former,46,9,High,None,High,No,No,23.8,Moderate,High,Average,North,Low,Tertiary,Good,Occasionally,No,Stage I,2001,Alive
+P102779,33,Female,Never,3,11,Medium,None,Moderate,Yes,No,21.5,High,High,Good,East,Low,Secondary,Average,Never,No,None,2011,Alive
+P102780,32,Male,Never,35,0,Low,Diesel Fumes,Low,Yes,No,30.0,High,High,Average,East,Middle,Primary,Average,Regularly,No,None,2014,Deceased
+P102781,31,Female,Former,9,24,High,Silica,Low,No,No,25.9,High,High,Average,East,Low,Tertiary,Poor,Regularly,No,None,2012,Alive
+P102782,60,Female,Current,27,15,High,Silica,Moderate,No,No,29.1,High,None,Poor,North,High,Tertiary,Poor,Never,No,None,2010,Deceased
+P102783,42,Female,Former,5,4,Low,Diesel Fumes,Low,Yes,No,17.8,High,None,Good,East,Low,Primary,Average,Never,Yes,None,2006,Alive
+P102784,27,Male,Current,26,18,Low,Diesel Fumes,Moderate,No,No,22.8,Low,None,Average,West,Middle,Tertiary,Average,Never,No,None,2008,Alive
+P102785,52,Female,Never,11,3,High,Diesel Fumes,High,Yes,No,19.9,Moderate,High,Good,West,Middle,Secondary,Good,Occasionally,No,None,2014,Alive
+P102786,68,Male,Former,47,5,Medium,None,Low,Yes,No,16.9,Moderate,High,Average,North,Low,Tertiary,Average,Never,No,None,2002,Alive
+P102787,45,Female,Current,2,25,Low,Diesel Fumes,High,Yes,No,26.5,Low,None,Good,West,Low,Secondary,Good,Never,No,Stage I,2009,Alive
+P102788,52,Female,Current,45,38,Low,Silica,High,No,No,19.7,Low,High,Average,South,Middle,Secondary,Average,Never,No,Stage III,2007,Alive
+P102789,78,Female,Never,32,38,Medium,Diesel Fumes,Low,Yes,No,23.1,Moderate,None,Good,East,Middle,Secondary,Poor,Never,No,None,2005,Alive
+P102790,78,Male,Former,9,8,Medium,Asbestos,Low,No,No,20.1,Moderate,None,Average,West,Low,Secondary,Good,Regularly,No,Stage IV,2013,Alive
+P102791,89,Male,Never,30,13,Low,Silica,Moderate,No,Yes,23.0,Low,None,Good,East,High,Secondary,Poor,Regularly,No,None,2005,Alive
+P102792,45,Female,Former,14,8,Medium,Silica,Moderate,No,No,27.9,Low,High,Average,West,High,Secondary,Good,Never,Yes,None,2018,Alive
+P102793,37,Female,Current,6,14,High,Silica,Low,No,No,20.2,High,None,Average,East,High,Tertiary,Good,Occasionally,Yes,None,2008,Deceased
+P102794,81,Male,Current,35,36,High,None,Moderate,Yes,No,22.7,Low,Moderate,Good,North,Middle,Primary,Poor,Occasionally,No,None,2008,Alive
+P102795,73,Male,Never,13,19,High,None,High,Yes,No,27.6,Low,None,Poor,South,High,Tertiary,Poor,Regularly,No,None,2019,Deceased
+P102796,78,Male,Current,47,7,Low,Silica,High,No,No,28.4,High,None,Average,East,High,Primary,Average,Occasionally,No,Stage II,2015,Alive
+P102797,34,Female,Former,13,31,Medium,Asbestos,Low,Yes,No,23.0,High,Moderate,Average,South,Low,Tertiary,Good,Occasionally,No,None,2012,Deceased
+P102798,77,Male,Former,2,20,High,Silica,Moderate,No,No,26.5,Moderate,High,Poor,East,Low,Primary,Average,Regularly,No,None,2012,Alive
+P102799,68,Female,Former,48,18,Medium,None,Low,Yes,No,29.1,Moderate,None,Average,North,High,Tertiary,Good,Never,No,None,2011,Deceased
+P102800,71,Male,Current,45,28,High,Asbestos,High,Yes,No,19.7,Low,Moderate,Good,South,Middle,Secondary,Average,Never,Yes,None,2021,Alive
+P102801,77,Female,Former,49,30,Medium,Silica,Low,Yes,No,21.4,High,High,Poor,West,High,Primary,Poor,Regularly,No,None,2020,Alive
+P102802,70,Female,Former,2,5,High,None,Low,Yes,No,23.1,High,Moderate,Average,South,Low,Tertiary,Poor,Never,No,None,2019,Alive
+P102803,37,Female,Former,21,3,High,Asbestos,Low,Yes,No,27.2,Moderate,None,Good,East,Low,Secondary,Average,Never,No,None,2001,Alive
+P102804,61,Male,Never,18,28,High,Diesel Fumes,Low,Yes,No,25.9,Moderate,Moderate,Good,South,Low,Tertiary,Poor,Regularly,No,None,2003,Alive
+P102805,48,Male,Current,34,2,High,Diesel Fumes,High,No,No,25.3,Low,High,Poor,North,High,Primary,Average,Regularly,No,None,2006,Alive
+P102806,26,Male,Former,11,0,High,Silica,Low,Yes,Yes,19.9,High,None,Poor,South,Middle,Tertiary,Good,Regularly,No,None,2018,Alive
+P102807,38,Female,Never,4,14,High,Diesel Fumes,Low,Yes,No,29.4,Moderate,Moderate,Poor,South,High,Tertiary,Good,Occasionally,No,Stage I,2002,Alive
+P102808,34,Female,Current,9,20,High,None,Moderate,Yes,No,22.5,Low,High,Good,South,Low,Secondary,Poor,Regularly,Yes,None,2010,Alive
+P102809,59,Male,Current,40,30,High,Asbestos,Low,No,No,23.7,Low,High,Average,West,Low,Secondary,Poor,Regularly,No,None,2018,Alive
+P102810,49,Female,Current,32,6,High,Silica,Moderate,Yes,Yes,26.0,Low,None,Good,South,Low,Secondary,Poor,Regularly,No,None,2024,Alive
+P102811,27,Female,Former,12,16,Medium,Asbestos,Low,Yes,No,34.9,Moderate,None,Good,East,Low,Primary,Good,Regularly,Yes,None,2013,Alive
+P102812,41,Female,Never,34,18,Medium,Asbestos,Moderate,Yes,No,21.8,Moderate,None,Poor,East,High,Secondary,Average,Never,No,None,2016,Alive
+P102813,36,Male,Former,31,38,Low,Asbestos,Low,No,No,21.5,Moderate,None,Average,South,High,Primary,Poor,Regularly,No,None,2004,Alive
+P102814,78,Female,Never,10,2,High,None,Moderate,Yes,No,23.1,Moderate,Moderate,Good,South,Middle,Secondary,Average,Regularly,Yes,None,2024,Alive
+P102815,48,Male,Current,47,29,Medium,Silica,Low,No,No,30.8,Moderate,High,Poor,West,Low,Secondary,Poor,Occasionally,No,None,2013,Alive
+P102816,53,Male,Never,37,34,Medium,Diesel Fumes,Low,No,No,25.7,High,None,Poor,North,High,Secondary,Poor,Occasionally,No,None,2006,Alive
+P102817,67,Male,Never,23,28,Medium,Asbestos,Moderate,Yes,Yes,26.9,High,None,Average,East,High,Secondary,Poor,Never,No,None,2011,Alive
+P102818,49,Male,Former,34,13,Medium,Asbestos,Low,Yes,No,29.0,High,None,Average,West,Low,Primary,Average,Regularly,No,None,2016,Alive
+P102819,84,Male,Former,18,34,Medium,Asbestos,Low,No,No,30.6,High,Moderate,Poor,East,High,Primary,Average,Regularly,No,Stage IV,2019,Alive
+P102820,89,Female,Current,5,27,Medium,None,Low,No,No,21.7,Low,High,Average,East,Low,Primary,Average,Regularly,No,Stage I,2021,Deceased
+P102821,52,Male,Former,39,29,Low,Diesel Fumes,Low,Yes,No,27.6,Low,High,Average,South,Middle,Secondary,Good,Occasionally,Yes,None,2020,Deceased
+P102822,40,Male,Never,44,25,Medium,Asbestos,High,Yes,No,30.8,High,None,Good,East,Low,Secondary,Good,Never,No,None,2017,Alive
+P102823,71,Male,Never,43,6,Low,None,Low,No,No,26.0,Moderate,High,Average,North,Low,Secondary,Good,Occasionally,Yes,None,2000,Alive
+P102824,82,Female,Former,41,38,Low,None,High,No,No,20.9,High,Moderate,Poor,North,High,Primary,Average,Regularly,No,None,2010,Alive
+P102825,51,Female,Never,34,30,High,Asbestos,High,No,No,19.9,High,High,Average,North,Middle,Tertiary,Good,Occasionally,No,None,2003,Alive
+P102826,77,Female,Current,3,4,High,Asbestos,Low,No,No,27.3,Low,None,Good,West,Middle,Tertiary,Poor,Regularly,Yes,Stage II,2011,Alive
+P102827,66,Female,Former,32,34,High,None,Moderate,Yes,No,19.2,Moderate,High,Average,North,High,Tertiary,Average,Regularly,No,None,2004,Alive
+P102828,83,Male,Current,12,13,Medium,None,Moderate,No,No,20.9,Low,Moderate,Good,North,Middle,Primary,Poor,Regularly,No,None,2014,Alive
+P102829,71,Male,Current,35,35,High,Asbestos,Low,Yes,No,22.6,Moderate,Moderate,Average,East,Middle,Tertiary,Poor,Never,No,None,2019,Deceased
+P102830,58,Female,Current,42,26,Medium,None,High,No,No,26.4,Low,High,Average,West,Low,Primary,Average,Occasionally,Yes,None,2002,Deceased
+P102831,61,Female,Current,18,23,Medium,None,Moderate,No,No,27.9,High,High,Poor,South,High,Primary,Poor,Regularly,No,None,2014,Alive
+P102832,30,Female,Never,42,39,High,Asbestos,Low,Yes,No,21.4,Moderate,None,Poor,West,Middle,Secondary,Average,Regularly,No,Stage II,2007,Alive
+P102833,31,Female,Never,11,28,High,Asbestos,Low,Yes,No,18.5,Low,None,Average,West,Middle,Secondary,Good,Never,No,None,2021,Deceased
+P102834,49,Male,Former,10,21,Low,Silica,High,Yes,No,29.1,High,None,Average,South,Middle,Primary,Average,Never,No,None,2010,Alive
+P102835,57,Female,Current,5,7,Low,Diesel Fumes,Moderate,Yes,No,28.4,Low,High,Good,South,Low,Tertiary,Average,Regularly,No,None,2011,Deceased
+P102836,79,Female,Current,11,14,Medium,Asbestos,Low,No,No,27.3,Low,Moderate,Good,South,Low,Primary,Poor,Regularly,No,None,2002,Alive
+P102837,82,Female,Current,26,4,Medium,Asbestos,Moderate,Yes,No,26.9,Low,Moderate,Poor,East,High,Primary,Poor,Regularly,No,None,2005,Alive
+P102838,31,Female,Never,40,3,High,Asbestos,Low,Yes,No,23.0,High,High,Average,East,High,Tertiary,Poor,Regularly,Yes,None,2007,Alive
+P102839,81,Female,Current,24,10,High,Diesel Fumes,Low,Yes,No,24.1,Moderate,Moderate,Average,East,Low,Secondary,Poor,Never,No,None,2006,Deceased
+P102840,36,Female,Former,41,17,Low,Silica,Low,No,No,25.4,Low,Moderate,Good,North,High,Primary,Poor,Occasionally,No,Stage I,2016,Alive
+P102841,40,Female,Never,2,29,High,None,High,No,No,20.8,High,High,Average,South,High,Secondary,Poor,Never,No,Stage II,2015,Alive
+P102842,67,Male,Former,2,14,Medium,Diesel Fumes,High,Yes,No,26.9,Low,Moderate,Average,East,High,Secondary,Poor,Never,No,None,2021,Alive
+P102843,31,Male,Never,19,5,High,Asbestos,High,No,No,25.6,Moderate,High,Average,East,Low,Secondary,Poor,Occasionally,No,Stage III,2016,Alive
+P102844,75,Male,Former,27,15,Low,Asbestos,Moderate,No,No,24.3,Low,None,Good,West,Low,Primary,Poor,Regularly,No,None,2012,Alive
+P102845,56,Male,Former,22,39,Medium,Silica,High,Yes,No,29.6,High,Moderate,Good,East,Middle,Tertiary,Average,Regularly,Yes,None,2003,Deceased
+P102846,32,Male,Former,47,8,Low,Silica,High,No,No,24.5,Low,High,Good,South,Middle,Tertiary,Poor,Occasionally,No,None,2009,Alive
+P102847,69,Male,Current,2,33,Low,Silica,Moderate,Yes,No,28.3,Low,Moderate,Average,South,Middle,Secondary,Poor,Never,Yes,Stage II,2015,Alive
+P102848,83,Female,Current,41,26,Medium,None,Moderate,Yes,No,19.1,Moderate,Moderate,Good,North,Middle,Secondary,Average,Regularly,No,None,2018,Deceased
+P102849,28,Female,Current,23,12,Low,Diesel Fumes,Moderate,Yes,No,29.2,Moderate,None,Poor,North,High,Tertiary,Good,Occasionally,No,None,2006,Alive
+P102850,53,Male,Former,42,35,High,Diesel Fumes,Moderate,No,No,28.0,Moderate,High,Poor,West,High,Secondary,Good,Occasionally,No,None,2017,Deceased
+P102851,53,Female,Current,39,26,High,Silica,High,Yes,Yes,35.8,Low,None,Good,North,Low,Tertiary,Average,Occasionally,No,None,2012,Alive
+P102852,52,Male,Current,5,8,Low,None,High,No,No,33.0,High,Moderate,Good,South,High,Tertiary,Good,Regularly,No,None,2003,Alive
+P102853,68,Female,Never,19,4,High,Diesel Fumes,Moderate,No,No,29.7,Low,Moderate,Average,North,High,Primary,Poor,Occasionally,No,None,2020,Alive
+P102854,28,Female,Former,10,21,Low,Asbestos,High,No,No,22.3,Low,Moderate,Good,North,High,Secondary,Poor,Never,Yes,None,2017,Alive
+P102855,33,Female,Never,31,30,High,Asbestos,Low,No,No,20.6,Low,High,Good,East,Middle,Secondary,Poor,Never,No,None,2015,Alive
+P102856,29,Female,Never,26,2,Low,Asbestos,High,Yes,No,21.4,Low,None,Poor,South,Low,Primary,Good,Occasionally,No,None,2024,Deceased
+P102857,80,Female,Current,20,29,High,Diesel Fumes,Low,Yes,No,27.5,Moderate,High,Poor,West,Middle,Tertiary,Average,Occasionally,No,None,2017,Deceased
+P102858,74,Female,Current,43,20,Medium,Silica,Moderate,No,No,31.5,Moderate,Moderate,Poor,North,High,Secondary,Poor,Occasionally,No,Stage IV,2015,Alive
+P102859,39,Male,Never,47,34,Medium,Asbestos,Moderate,Yes,Yes,18.9,Moderate,None,Poor,North,High,Primary,Average,Never,No,None,2021,Alive
+P102860,56,Male,Current,49,5,High,Silica,High,No,No,20.8,Moderate,Moderate,Good,West,Low,Tertiary,Average,Regularly,No,None,2023,Alive
+P102861,52,Female,Current,12,27,Low,None,Moderate,No,No,25.2,High,None,Poor,West,Middle,Primary,Poor,Never,No,None,2022,Alive
+P102862,46,Male,Current,21,31,High,Asbestos,High,Yes,No,19.3,Low,High,Average,South,High,Primary,Average,Occasionally,No,None,2021,Alive
+P102863,41,Female,Never,34,36,Low,None,High,No,No,22.9,Low,High,Average,West,Low,Primary,Average,Regularly,No,None,2023,Alive
+P102864,83,Male,Current,46,24,High,Silica,High,Yes,No,31.2,Low,High,Good,North,High,Primary,Poor,Regularly,No,None,2020,Deceased
+P102865,81,Female,Former,21,31,High,Diesel Fumes,High,No,No,28.6,High,High,Average,South,High,Tertiary,Average,Occasionally,No,Stage IV,2008,Alive
+P102866,50,Male,Former,27,34,Medium,Silica,Low,No,No,29.1,High,High,Poor,South,Low,Primary,Good,Occasionally,No,None,2001,Alive
+P102867,49,Female,Never,20,21,Low,Asbestos,Low,No,No,20.1,Moderate,None,Poor,West,Low,Tertiary,Poor,Never,No,None,2005,Alive
+P102868,34,Male,Never,45,23,Low,Asbestos,Moderate,No,No,16.3,Low,None,Average,South,High,Primary,Poor,Never,No,None,2022,Deceased
+P102869,69,Female,Current,17,38,Low,Silica,Low,Yes,No,22.9,Low,Moderate,Good,North,Low,Primary,Poor,Never,Yes,None,2024,Alive
+P102870,35,Male,Former,30,29,Low,Asbestos,Moderate,No,No,13.4,High,None,Poor,North,High,Secondary,Poor,Occasionally,No,Stage IV,2020,Alive
+P102871,77,Female,Never,45,31,Low,Asbestos,Moderate,No,No,27.3,Low,Moderate,Poor,North,Middle,Secondary,Poor,Regularly,No,None,2005,Alive
+P102872,52,Female,Never,36,30,Medium,None,High,Yes,No,28.7,High,High,Average,South,High,Secondary,Poor,Never,No,None,2024,Alive
+P102873,89,Female,Current,20,22,High,Diesel Fumes,High,No,No,21.1,Moderate,None,Good,West,Low,Secondary,Poor,Occasionally,No,None,2005,Alive
+P102874,73,Male,Never,13,39,Low,Silica,High,No,Yes,27.9,High,None,Good,North,Middle,Primary,Good,Regularly,No,None,2013,Alive
+P102875,71,Male,Current,24,32,Low,None,High,No,No,27.9,Low,High,Average,East,Low,Primary,Average,Occasionally,No,None,2010,Alive
+P102876,76,Male,Never,26,24,High,Asbestos,High,No,No,19.4,High,High,Poor,West,High,Tertiary,Good,Occasionally,No,None,2016,Alive
+P102877,78,Female,Never,39,35,Medium,None,High,No,No,23.0,High,High,Average,South,Low,Primary,Average,Occasionally,No,Stage IV,2003,Alive
+P102878,84,Male,Former,22,23,Medium,Diesel Fumes,Low,No,No,22.7,Moderate,Moderate,Average,North,High,Tertiary,Poor,Never,No,None,2003,Deceased
+P102879,81,Female,Former,30,30,Medium,Silica,Moderate,Yes,No,29.7,Low,Moderate,Average,South,Low,Primary,Good,Occasionally,No,None,2018,Alive
+P102880,71,Male,Former,46,38,High,Diesel Fumes,Moderate,No,No,28.7,Low,None,Poor,North,Low,Primary,Poor,Occasionally,Yes,None,2023,Alive
+P102881,55,Male,Former,28,12,High,Diesel Fumes,High,Yes,No,27.9,Moderate,High,Poor,South,High,Tertiary,Average,Occasionally,Yes,Stage II,2021,Alive
+P102882,70,Male,Current,46,9,Medium,None,Low,No,No,22.2,High,None,Average,East,Middle,Secondary,Good,Never,No,None,2022,Alive
+P102883,50,Male,Current,29,22,Medium,None,High,Yes,No,31.8,High,High,Good,South,High,Primary,Good,Occasionally,No,None,2015,Alive
+P102884,29,Female,Never,25,17,High,Diesel Fumes,Low,Yes,No,25.9,Low,High,Average,South,Middle,Secondary,Average,Occasionally,No,None,2024,Alive
+P102885,76,Male,Former,19,31,Medium,Asbestos,Low,Yes,Yes,27.5,High,High,Poor,South,Middle,Tertiary,Average,Never,No,Stage IV,2007,Alive
+P102886,78,Male,Current,37,32,Low,Silica,Moderate,Yes,No,33.7,Moderate,High,Good,North,Middle,Primary,Good,Occasionally,No,None,2018,Alive
+P102887,57,Female,Former,18,35,High,Asbestos,Moderate,No,No,28.3,Low,High,Good,West,Middle,Tertiary,Good,Regularly,No,None,2019,Alive
+P102888,74,Female,Never,26,27,Medium,Asbestos,Low,No,No,24.4,High,Moderate,Poor,South,High,Primary,Good,Occasionally,No,None,2000,Alive
+P102889,62,Male,Current,24,15,Low,Silica,Moderate,No,No,22.5,Moderate,None,Poor,West,High,Tertiary,Average,Occasionally,No,Stage IV,2003,Alive
+P102890,51,Male,Current,39,15,High,None,Low,Yes,No,16.3,Moderate,High,Average,North,Middle,Tertiary,Poor,Never,No,Stage IV,2011,Alive
+P102891,39,Female,Former,37,17,High,Asbestos,Low,Yes,No,17.2,Low,Moderate,Poor,South,Middle,Secondary,Good,Never,No,None,2024,Deceased
+P102892,85,Female,Never,22,7,Low,None,Low,Yes,No,29.3,Low,Moderate,Good,North,Middle,Secondary,Average,Never,No,Stage II,2020,Alive
+P102893,45,Female,Never,28,15,High,Silica,Moderate,Yes,No,15.1,High,High,Average,West,Middle,Secondary,Good,Never,No,None,2018,Alive
+P102894,70,Male,Current,14,10,Medium,Asbestos,High,Yes,No,30.1,High,High,Average,North,Middle,Primary,Average,Regularly,No,None,2001,Alive
+P102895,30,Male,Never,2,5,High,None,Moderate,Yes,No,29.0,High,Moderate,Good,North,Middle,Tertiary,Good,Occasionally,No,None,2005,Alive
+P102896,62,Male,Former,9,0,Medium,None,High,Yes,No,20.7,Moderate,High,Poor,West,Low,Secondary,Average,Occasionally,No,Stage II,2019,Alive
+P102897,86,Female,Former,14,11,Low,Asbestos,Moderate,No,No,25.9,Moderate,Moderate,Average,North,Middle,Primary,Average,Regularly,No,None,2021,Alive
+P102898,86,Female,Never,15,37,Low,Silica,Moderate,Yes,No,27.9,High,High,Good,West,Low,Secondary,Good,Never,No,None,2002,Deceased
+P102899,70,Female,Current,16,27,High,Diesel Fumes,High,No,No,25.5,Low,Moderate,Good,West,High,Primary,Average,Occasionally,No,None,2002,Alive
+P102900,37,Male,Current,18,16,Low,None,Low,No,No,31.2,Moderate,High,Good,South,High,Tertiary,Average,Regularly,No,None,2000,Alive
+P102901,27,Female,Current,10,0,Low,Silica,High,Yes,No,18.0,Moderate,Moderate,Poor,South,Middle,Tertiary,Average,Occasionally,No,None,2008,Alive
+P102902,30,Male,Never,47,31,High,Asbestos,Low,Yes,No,27.5,High,None,Poor,North,High,Tertiary,Average,Regularly,No,None,2006,Alive
+P102903,32,Female,Never,4,7,Medium,None,Low,Yes,No,22.0,Low,High,Poor,North,High,Primary,Average,Regularly,No,None,2008,Alive
+P102904,68,Male,Former,4,39,High,None,Moderate,Yes,No,16.3,Moderate,High,Poor,North,Middle,Tertiary,Average,Occasionally,No,None,2000,Alive
+P102905,57,Male,Never,13,23,High,None,Moderate,No,Yes,19.2,Low,Moderate,Good,East,High,Primary,Average,Never,No,Stage II,2007,Alive
+P102906,74,Female,Current,49,9,Medium,Silica,Moderate,Yes,No,22.4,Moderate,High,Average,East,High,Primary,Average,Never,Yes,None,2017,Alive
+P102907,35,Male,Never,25,38,Medium,None,Moderate,No,No,25.1,Low,None,Good,South,Middle,Primary,Good,Regularly,No,Stage I,2002,Alive
+P102908,52,Female,Former,7,38,Medium,None,Moderate,Yes,No,20.5,Low,None,Average,West,Middle,Tertiary,Average,Never,No,None,2016,Alive
+P102909,65,Male,Former,4,9,High,Asbestos,High,No,Yes,22.5,Moderate,Moderate,Average,East,Middle,Tertiary,Poor,Occasionally,No,None,2006,Alive
+P102910,40,Female,Current,6,35,Medium,None,High,No,No,23.0,Low,Moderate,Average,East,Low,Tertiary,Good,Regularly,Yes,None,2010,Alive
+P102911,72,Female,Never,15,24,Low,Silica,High,No,No,20.6,Moderate,High,Poor,West,Middle,Primary,Good,Occasionally,No,None,2004,Alive
+P102912,80,Male,Former,13,9,Medium,Asbestos,High,No,Yes,22.2,Moderate,Moderate,Good,North,High,Tertiary,Poor,Occasionally,No,Stage III,2012,Alive
+P102913,88,Female,Never,36,18,Low,Diesel Fumes,Moderate,No,No,27.9,Low,None,Average,North,Middle,Primary,Average,Never,Yes,None,2010,Alive
+P102914,83,Male,Current,40,14,Medium,Asbestos,High,Yes,No,33.2,Moderate,None,Good,East,Low,Tertiary,Poor,Occasionally,No,None,2002,Alive
+P102915,86,Female,Never,3,15,Low,None,High,Yes,No,26.0,Low,High,Poor,East,High,Primary,Poor,Regularly,Yes,Stage IV,2012,Alive
+P102916,35,Female,Current,35,1,Low,Diesel Fumes,Low,Yes,No,25.7,Moderate,None,Average,West,Low,Secondary,Poor,Regularly,No,Stage II,2019,Alive
+P102917,42,Female,Current,47,28,Low,Asbestos,Moderate,No,No,24.6,Low,Moderate,Poor,West,High,Tertiary,Good,Occasionally,Yes,None,2005,Alive
+P102918,43,Female,Never,16,3,Low,None,High,Yes,No,23.0,Moderate,High,Poor,East,Middle,Tertiary,Average,Occasionally,No,None,2021,Alive
+P102919,79,Male,Current,46,28,Low,Asbestos,High,No,No,27.9,Moderate,High,Good,West,Low,Primary,Good,Regularly,No,None,2014,Alive
+P102920,50,Female,Never,35,30,Medium,Silica,High,No,No,29.9,High,High,Average,North,Middle,Primary,Average,Never,No,None,2001,Deceased
+P102921,30,Female,Current,5,16,High,None,Moderate,Yes,Yes,19.2,Moderate,Moderate,Poor,South,High,Primary,Poor,Never,No,None,2022,Alive
+P102922,28,Male,Former,15,9,High,Silica,High,No,No,30.2,Moderate,High,Good,East,Middle,Secondary,Good,Never,No,None,2001,Alive
+P102923,53,Male,Former,28,26,High,None,Low,Yes,No,33.1,Low,High,Average,South,Middle,Tertiary,Average,Occasionally,No,None,2024,Alive
+P102924,83,Male,Former,35,14,High,Silica,Moderate,No,No,20.0,Low,None,Average,West,High,Primary,Average,Occasionally,Yes,None,2013,Deceased
+P102925,41,Male,Never,37,30,High,Diesel Fumes,Low,Yes,No,29.6,Low,None,Poor,South,Low,Secondary,Poor,Regularly,No,None,2001,Deceased
+P102926,67,Male,Current,36,20,Low,Silica,Moderate,No,No,33.2,Low,High,Poor,East,High,Secondary,Good,Regularly,No,None,2004,Alive
+P102927,58,Male,Never,47,25,Medium,Asbestos,High,Yes,No,28.6,High,Moderate,Poor,West,High,Primary,Good,Regularly,Yes,None,2015,Deceased
+P102928,32,Female,Current,47,37,Low,None,Moderate,Yes,No,24.1,High,Moderate,Poor,South,Middle,Tertiary,Good,Regularly,No,None,2007,Alive
+P102929,37,Male,Former,9,35,Medium,Asbestos,Moderate,No,No,28.9,Low,Moderate,Average,North,High,Primary,Good,Never,No,None,2007,Deceased
+P102930,32,Female,Current,40,16,Medium,Silica,Moderate,No,No,20.9,Low,Moderate,Poor,East,Low,Primary,Good,Occasionally,No,None,2010,Alive
+P102931,89,Male,Never,35,2,Medium,None,Low,No,No,23.4,Low,None,Poor,East,High,Primary,Good,Occasionally,No,None,2012,Alive
+P102932,67,Female,Former,28,13,Medium,Silica,Moderate,Yes,No,21.3,Low,Moderate,Poor,East,High,Secondary,Good,Never,No,None,2014,Alive
+P102933,63,Female,Former,13,12,High,Diesel Fumes,High,Yes,No,18.3,Moderate,Moderate,Average,East,Middle,Secondary,Poor,Regularly,Yes,None,2003,Alive
+P102934,83,Female,Current,3,26,Medium,Diesel Fumes,Moderate,No,No,25.2,Low,High,Good,West,Low,Tertiary,Average,Regularly,No,None,2022,Alive
+P102935,68,Male,Never,43,0,Medium,Diesel Fumes,Moderate,Yes,No,26.5,Moderate,Moderate,Good,North,Middle,Secondary,Poor,Occasionally,No,None,2007,Alive
+P102936,33,Male,Never,41,16,High,Silica,High,Yes,No,28.3,Low,Moderate,Average,North,Middle,Primary,Average,Regularly,No,None,2015,Alive
+P102937,61,Male,Never,35,33,Low,Silica,High,No,No,2.6,High,Moderate,Good,South,Low,Secondary,Average,Occasionally,No,None,2015,Deceased
+P102938,60,Male,Current,49,13,Low,Diesel Fumes,Low,Yes,No,25.9,High,Moderate,Average,East,Low,Tertiary,Average,Never,No,None,2023,Alive
+P102939,52,Female,Never,44,16,Low,Silica,High,Yes,No,25.4,Low,None,Poor,East,High,Primary,Good,Occasionally,No,None,2020,Alive
+P102940,66,Male,Former,12,2,Low,Asbestos,High,Yes,No,19.5,High,High,Good,South,Low,Primary,Good,Never,Yes,None,2009,Deceased
+P102941,67,Female,Never,45,33,Medium,Silica,High,No,No,22.8,High,None,Average,West,Middle,Secondary,Average,Regularly,No,None,2001,Alive
+P102942,66,Female,Current,17,39,High,Asbestos,Moderate,Yes,No,28.8,High,High,Average,North,Low,Secondary,Average,Occasionally,No,None,2017,Alive
+P102943,79,Male,Current,32,24,High,Diesel Fumes,Low,No,No,25.5,High,High,Poor,East,Low,Tertiary,Good,Regularly,No,None,2020,Alive
+P102944,72,Male,Former,20,1,Low,Silica,High,Yes,No,24.9,Moderate,High,Average,South,Low,Primary,Good,Regularly,No,None,2015,Alive
+P102945,46,Male,Former,15,33,High,Diesel Fumes,High,Yes,No,29.5,Moderate,High,Good,North,Middle,Tertiary,Average,Regularly,No,None,2003,Alive
+P102946,51,Female,Never,14,25,Medium,None,High,Yes,No,36.6,Moderate,None,Poor,South,High,Secondary,Average,Occasionally,No,Stage III,2019,Deceased
+P102947,37,Male,Never,4,30,Low,Silica,Moderate,Yes,No,23.8,Moderate,High,Average,South,High,Primary,Poor,Regularly,No,Stage IV,2018,Deceased
+P102948,69,Female,Never,5,8,Medium,Silica,Moderate,Yes,No,26.2,Low,Moderate,Poor,West,Middle,Secondary,Good,Occasionally,No,None,2024,Alive
+P102949,34,Male,Current,37,29,Medium,Diesel Fumes,Low,No,No,20.5,High,Moderate,Average,North,High,Primary,Good,Regularly,Yes,None,2007,Alive
+P102950,33,Female,Former,2,19,Medium,Diesel Fumes,Low,Yes,No,35.7,High,High,Good,East,High,Tertiary,Average,Never,No,None,2019,Alive
+P102951,78,Male,Current,47,20,Medium,Diesel Fumes,Moderate,Yes,No,22.3,Low,Moderate,Good,North,Middle,Primary,Poor,Occasionally,No,Stage I,2022,Alive
+P102952,51,Male,Former,11,28,Medium,None,High,Yes,No,16.0,Low,Moderate,Poor,West,Middle,Secondary,Good,Never,No,None,2007,Alive
+P102953,58,Female,Current,35,24,Low,None,High,Yes,No,28.1,Moderate,High,Average,East,High,Primary,Poor,Never,No,None,2013,Alive
+P102954,25,Male,Former,32,37,Medium,Diesel Fumes,Low,No,No,16.9,Moderate,High,Poor,North,Low,Tertiary,Poor,Occasionally,No,Stage III,2015,Alive
+P102955,56,Male,Former,35,24,Low,Silica,High,Yes,No,31.5,High,High,Poor,West,High,Secondary,Good,Occasionally,No,None,2005,Deceased
+P102956,44,Male,Never,32,8,High,Silica,Moderate,Yes,No,27.9,Low,None,Good,East,Low,Tertiary,Average,Occasionally,No,None,2017,Alive
+P102957,59,Male,Former,30,38,Medium,Diesel Fumes,Low,Yes,No,19.9,High,High,Poor,East,Middle,Primary,Poor,Regularly,No,Stage I,2007,Alive
+P102958,41,Male,Former,20,25,Medium,Asbestos,Moderate,Yes,No,28.4,Low,High,Average,South,Low,Primary,Average,Regularly,No,Stage I,2018,Alive
+P102959,42,Male,Current,26,36,High,None,Moderate,No,No,23.3,Moderate,None,Good,South,Low,Primary,Good,Never,No,None,2003,Deceased
+P102960,69,Male,Current,26,15,Low,None,High,No,No,27.1,High,Moderate,Average,West,Low,Primary,Poor,Occasionally,Yes,None,2003,Alive
+P102961,77,Female,Former,7,36,Medium,Asbestos,Moderate,Yes,No,18.6,High,None,Poor,East,Middle,Secondary,Average,Never,No,None,2006,Alive
+P102962,89,Female,Never,36,11,High,Diesel Fumes,Moderate,Yes,No,18.3,Low,Moderate,Good,North,High,Primary,Poor,Regularly,No,None,2007,Alive
+P102963,25,Male,Former,31,23,High,Silica,High,Yes,No,26.6,High,None,Average,East,High,Secondary,Poor,Never,No,None,2008,Alive
+P102964,82,Male,Former,25,25,Medium,Silica,Moderate,Yes,No,34.4,Moderate,High,Average,West,Low,Secondary,Poor,Never,No,None,2000,Alive
+P102965,50,Male,Never,1,19,Low,None,High,Yes,No,21.8,High,None,Poor,North,High,Secondary,Good,Occasionally,No,Stage II,2016,Alive
+P102966,44,Female,Current,11,8,Low,Asbestos,Moderate,No,No,21.4,Low,High,Average,East,Middle,Primary,Average,Occasionally,No,Stage II,2006,Alive
+P102967,34,Female,Current,21,22,Medium,Silica,High,No,No,23.3,High,Moderate,Poor,North,Middle,Primary,Poor,Never,No,None,2019,Alive
+P102968,83,Male,Current,16,38,High,None,High,Yes,No,18.4,Moderate,High,Poor,South,Middle,Tertiary,Average,Regularly,No,Stage IV,2009,Alive
+P102969,65,Female,Never,6,28,Medium,Silica,Low,Yes,No,27.8,Low,None,Poor,North,Middle,Primary,Good,Never,No,None,2023,Alive
+P102970,29,Male,Current,42,30,Low,Silica,Moderate,Yes,No,29.5,Low,None,Poor,South,High,Primary,Poor,Regularly,No,None,2020,Alive
+P102971,89,Male,Current,3,18,High,Silica,Moderate,No,No,27.4,Moderate,Moderate,Good,North,Low,Primary,Poor,Never,No,None,2000,Alive
+P102972,41,Male,Former,36,19,Medium,None,Low,Yes,No,24.2,Low,High,Average,South,Low,Secondary,Poor,Never,No,None,2017,Alive
+P102973,46,Male,Former,37,22,High,Asbestos,High,Yes,No,19.9,Low,Moderate,Average,West,Low,Tertiary,Average,Occasionally,No,Stage II,2013,Alive
+P102974,65,Female,Current,31,26,Low,Diesel Fumes,High,No,No,35.3,High,High,Good,North,Middle,Primary,Average,Never,No,None,2018,Alive
+P102975,35,Female,Former,10,29,Low,Asbestos,Low,No,No,20.7,Low,High,Poor,East,High,Tertiary,Poor,Regularly,No,None,2017,Alive
+P102976,80,Male,Former,0,20,Low,Silica,Low,Yes,No,20.6,High,Moderate,Poor,West,High,Secondary,Average,Never,No,None,2024,Alive
+P102977,75,Female,Former,24,34,Medium,Asbestos,High,Yes,No,16.0,Moderate,Moderate,Poor,West,High,Tertiary,Average,Never,No,None,2012,Alive
+P102978,45,Female,Former,41,6,High,Silica,High,Yes,No,17.9,Moderate,High,Poor,North,High,Tertiary,Poor,Regularly,No,None,2006,Alive
+P102979,50,Male,Never,23,21,Medium,None,Low,Yes,No,26.7,Moderate,Moderate,Good,West,High,Tertiary,Poor,Never,No,Stage IV,2001,Alive
+P102980,43,Female,Current,42,9,Medium,None,Moderate,No,No,22.9,Moderate,High,Average,South,High,Tertiary,Poor,Never,No,None,2006,Alive
+P102981,84,Male,Current,16,22,Medium,None,High,No,No,20.7,Low,Moderate,Poor,South,Low,Tertiary,Good,Never,Yes,None,2009,Alive
+P102982,71,Male,Current,7,14,Medium,Silica,Low,Yes,No,21.0,Low,Moderate,Poor,North,Middle,Secondary,Poor,Never,No,None,2016,Alive
+P102983,50,Male,Never,44,29,High,Asbestos,Moderate,No,No,22.4,High,Moderate,Poor,West,Low,Primary,Poor,Regularly,No,None,2020,Alive
+P102984,64,Male,Current,26,33,High,Diesel Fumes,Moderate,Yes,No,21.7,High,None,Average,East,High,Tertiary,Poor,Regularly,Yes,Stage IV,2004,Alive
+P102985,29,Female,Never,17,12,Medium,Diesel Fumes,Moderate,No,No,32.0,High,Moderate,Average,North,Middle,Secondary,Poor,Regularly,Yes,Stage III,2008,Alive
+P102986,45,Male,Never,26,3,Medium,None,Moderate,Yes,No,23.1,Low,None,Good,North,Middle,Secondary,Poor,Regularly,No,None,2003,Alive
+P102987,28,Female,Former,21,17,Low,Diesel Fumes,Low,Yes,No,25.7,High,High,Average,West,Middle,Primary,Poor,Never,No,None,2019,Alive
+P102988,47,Male,Former,15,22,Low,Silica,High,No,No,25.3,Low,High,Average,South,Middle,Secondary,Poor,Regularly,No,None,2021,Alive
+P102989,39,Male,Former,1,32,High,Asbestos,Moderate,No,No,25.5,Moderate,Moderate,Poor,West,High,Primary,Poor,Never,No,Stage IV,2014,Deceased
+P102990,32,Female,Never,4,33,Low,Diesel Fumes,Moderate,No,No,23.1,Low,None,Average,East,High,Tertiary,Good,Occasionally,No,None,2013,Alive
+P102991,65,Male,Former,17,33,High,Diesel Fumes,Low,No,No,22.6,Moderate,High,Poor,East,Middle,Secondary,Average,Never,No,None,2017,Alive
+P102992,43,Female,Never,2,35,High,Asbestos,Moderate,No,Yes,28.2,High,None,Good,East,High,Secondary,Good,Never,No,None,2009,Alive
+P102993,70,Female,Current,26,34,High,Diesel Fumes,Low,Yes,No,26.1,Low,None,Poor,East,Middle,Secondary,Good,Regularly,No,None,2015,Alive
+P102994,52,Male,Former,16,16,Low,Asbestos,Low,Yes,No,21.2,High,High,Good,North,High,Tertiary,Poor,Regularly,No,None,2021,Alive
+P102995,39,Male,Current,15,27,Low,Silica,High,No,No,10.7,High,None,Average,East,Middle,Primary,Poor,Regularly,No,None,2022,Alive
+P102996,61,Male,Former,5,13,High,Silica,Moderate,Yes,No,22.0,Moderate,None,Good,East,High,Primary,Poor,Occasionally,No,Stage III,2019,Deceased
+P102997,25,Male,Never,6,33,High,Silica,High,Yes,Yes,18.2,High,High,Poor,East,Low,Secondary,Poor,Never,No,Stage IV,2009,Alive
+P102998,48,Male,Current,49,10,Medium,None,Low,Yes,No,20.4,Low,Moderate,Average,West,Low,Secondary,Average,Occasionally,No,None,2008,Alive
+P102999,51,Male,Never,13,12,High,Silica,Moderate,Yes,No,18.4,High,Moderate,Average,South,High,Tertiary,Average,Never,No,Stage III,2015,Alive
diff --git a/week4_scikit_learn.ipynb b/week4_scikit_learn.ipynb
new file mode 100644
index 0000000..ee91827
--- /dev/null
+++ b/week4_scikit_learn.ipynb
@@ -0,0 +1,1722 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "4cad8cf9-52c5-4a78-ac16-39833303e1dc",
+   "metadata": {},
+   "source": [
+    "# **Искусственные нейронные сети: первые шаги**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "977abacb-0595-48ac-b874-ff6bf995fe06",
+   "metadata": {},
+   "source": [
+    "# Базовая нейросеть"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "afa2b869-a183-4d03-8907-b9cbf8531379",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00        11\n",
+      "           1       1.00      0.75      0.86         8\n",
+      "           2       0.85      1.00      0.92        11\n",
+      "\n",
+      "    accuracy                           0.93        30\n",
+      "   macro avg       0.95      0.92      0.92        30\n",
+      "weighted avg       0.94      0.93      0.93        30\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "D:\\Практика. 2 курс\\Task 4\\venv\\Lib\\site-packages\\sklearn\\neural_network\\_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (500) reached and the optimization hasn't converged yet.\n",
+      "  warnings.warn(\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.datasets import load_iris\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.neural_network import MLPClassifier\n",
+    "from sklearn.metrics import classification_report\n",
+    "\n",
+    "# Загрузка и разбиение данных\n",
+    "X, y = load_iris(return_X_y=True)\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)\n",
+    "\n",
+    "# Модель MLP — многослойный перцептрон\n",
+    "clf = MLPClassifier(hidden_layer_sizes=(10,), activation='relu', max_iter=500)\n",
+    "clf.fit(X_train, y_train)\n",
+    "\n",
+    "# Отчёт о точности\n",
+    "print(classification_report(y_test, clf.predict(X_test)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "b683837e-c854-4b6a-b48b-3db80b514ecf",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00         8\n",
+      "           1       0.00      0.00      0.00        12\n",
+      "           2       0.43      0.90      0.58        10\n",
+      "\n",
+      "    accuracy                           0.57        30\n",
+      "   macro avg       0.48      0.63      0.53        30\n",
+      "weighted avg       0.41      0.57      0.46        30\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "D:\\Практика. 2 курс\\Task 4\\venv\\Lib\\site-packages\\sklearn\\neural_network\\_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n",
+      "  warnings.warn(\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.datasets import load_iris\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.neural_network import MLPClassifier\n",
+    "from sklearn.metrics import classification_report\n",
+    "\n",
+    "# Загрузка и разбиение данных\n",
+    "X, y = load_iris(return_X_y=True)\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)\n",
+    "\n",
+    "# Модель MLP — многослойный перцептрон\n",
+    "clf = MLPClassifier(hidden_layer_sizes=(10,), activation='relu', max_iter=100)\n",
+    "clf.fit(X_train, y_train)\n",
+    "\n",
+    "# Отчёт о точности\n",
+    "print(classification_report(y_test, clf.predict(X_test)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "6a3624c4-87ce-4c7e-b0a5-9b3fae3230aa",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00        13\n",
+      "           1       1.00      1.00      1.00        11\n",
+      "           2       1.00      1.00      1.00         6\n",
+      "\n",
+      "    accuracy                           1.00        30\n",
+      "   macro avg       1.00      1.00      1.00        30\n",
+      "weighted avg       1.00      1.00      1.00        30\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.datasets import load_iris\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.neural_network import MLPClassifier\n",
+    "from sklearn.metrics import classification_report\n",
+    "\n",
+    "# Загрузка и разбиение данных\n",
+    "X, y = load_iris(return_X_y=True)\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)\n",
+    "\n",
+    "# Модель MLP — многослойный перцептрон\n",
+    "clf = MLPClassifier(hidden_layer_sizes=(10,), activation='relu', max_iter=2500)\n",
+    "clf.fit(X_train, y_train)\n",
+    "\n",
+    "# Отчёт о точности\n",
+    "print(classification_report(y_test, clf.predict(X_test)))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "707bf955-5dbd-49e5-8650-4aeedf59531a",
+   "metadata": {},
+   "source": [
+    "# Самостоятельное задание"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3df34b09-a006-4b05-9d6d-9cae917c8535",
+   "metadata": {},
+   "source": [
+    "# Biclustering документов с алгоритмом Spectral Co-clustering\n",
+    "\n",
+    "## Цель задачи:\n",
+    "Целью данной работы является демонстрация применения алгоритма Spectral Co-clustering для совместной кластеризации документов и слов (бикластеризации) на наборе данных 20 newsgroups. \n",
+    "\n",
+    "Бикластеризация позволяет находить подмножества слов, которые часто встречаются вместе в подмножествах документов, что полезно для тематического моделирования и анализа текстов.\n",
+    "\n",
+    "Алгоритм сравнивается с MiniBatchKMeans по метрике V-measure."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eddfbff7-533d-4a11-89e8-60e4f520dcd4",
+   "metadata": {},
+   "source": [
+    "## Импорт необходимых библиотек"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "0c5dd022-f4d1-4668-87ee-bcc4d4a6b3ae",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from collections import Counter\n",
+    "from time import time\n",
+    "import numpy as np\n",
+    "from sklearn.cluster import MiniBatchKMeans, SpectralCoclustering\n",
+    "from sklearn.datasets import fetch_20newsgroups\n",
+    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
+    "from sklearn.metrics.cluster import v_measure_score\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "from sklearn.datasets import make_biclusters\n",
+    "from sklearn.metrics import consensus_score"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "751a8517-5965-4995-bb3c-762c50a89bb2",
+   "metadata": {},
+   "source": [
+    "## 1. Работа с встроенным датасетом (20 newsgroups)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f853c375-b8da-48ef-a046-908b014c2446",
+   "metadata": {},
+   "source": [
+    "### 1.1 Загрузка и подготовка данных\n",
+    "Используем встроенный датасет 20 newsgroups, исключая категорию 'comp.os.ms-windows.misc', так как она содержит много постов только с данными."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "4bdd4f2d-5e13-40cd-a52e-4b39b468cec8",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Vectorizing...\n",
+      "Coclustering...\n",
+      "Done in 1.53s. V-measure: 0.4415\n",
+      "MiniBatchKMeans...\n",
+      "Done in 2.06s. V-measure: 0.3015\n",
+      "\n",
+      "Best biclusters:\n",
+      "----------------\n",
+      "bicluster 0 : 8 documents, 6 words\n",
+      "categories   : 100% talk.politics.mideast\n",
+      "words        : cosmo, angmar, alfalfa, alphalpha, proline, benson\n",
+      "\n",
+      "bicluster 1 : 1948 documents, 4325 words\n",
+      "categories   : 23% talk.politics.guns, 18% talk.politics.misc, 17% sci.med\n",
+      "words        : gun, guns, geb, banks, gordon, clinton, pitt, cdt, surrender, veal\n",
+      "\n",
+      "bicluster 2 : 1259 documents, 3534 words\n",
+      "categories   : 27% soc.religion.christian, 25% talk.politics.mideast, 25% alt.atheism\n",
+      "words        : god, jesus, christians, kent, sin, objective, belief, christ, faith, moral\n",
+      "\n",
+      "bicluster 3 : 775 documents, 1623 words\n",
+      "categories   : 30% comp.windows.x, 25% comp.sys.ibm.pc.hardware, 20% comp.graphics\n",
+      "words        : scsi, nada, ide, vga, esdi, isa, kth, s3, vlb, bmug\n",
+      "\n",
+      "bicluster 4 : 2180 documents, 2802 words\n",
+      "categories   : 18% comp.sys.mac.hardware, 16% sci.electronics, 16% comp.sys.ibm.pc.hardware\n",
+      "words        : voltage, shipping, circuit, receiver, processing, scope, mpce, analog, kolstad, umass\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Authors: The scikit-learn developers\n",
+    "# SPDX-License-Identifier: BSD-3-Clause\n",
+    "from collections import Counter\n",
+    "from time import time\n",
+    "\n",
+    "import numpy as np\n",
+    "\n",
+    "from sklearn.cluster import MiniBatchKMeans, SpectralCoclustering\n",
+    "from sklearn.datasets import fetch_20newsgroups\n",
+    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
+    "from sklearn.metrics.cluster import v_measure_score\n",
+    "\n",
+    "\n",
+    "def number_normalizer(tokens):\n",
+    "    \"\"\"Map all numeric tokens to a placeholder.\n",
+    "\n",
+    "    For many applications, tokens that begin with a number are not directly\n",
+    "    useful, but the fact that such a token exists can be relevant.  By applying\n",
+    "    this form of dimensionality reduction, some methods may perform better.\n",
+    "    \"\"\"\n",
+    "    return (\"#NUMBER\" if token[0].isdigit() else token for token in tokens)\n",
+    "\n",
+    "\n",
+    "class NumberNormalizingVectorizer(TfidfVectorizer):\n",
+    "    def build_tokenizer(self):\n",
+    "        tokenize = super().build_tokenizer()\n",
+    "        return lambda doc: list(number_normalizer(tokenize(doc)))\n",
+    "\n",
+    "\n",
+    "# exclude 'comp.os.ms-windows.misc'\n",
+    "categories = [\n",
+    "    \"alt.atheism\",\n",
+    "    \"comp.graphics\",\n",
+    "    \"comp.sys.ibm.pc.hardware\",\n",
+    "    \"comp.sys.mac.hardware\",\n",
+    "    \"comp.windows.x\",\n",
+    "    \"misc.forsale\",\n",
+    "    \"rec.autos\",\n",
+    "    \"rec.motorcycles\",\n",
+    "    \"rec.sport.baseball\",\n",
+    "    \"rec.sport.hockey\",\n",
+    "    \"sci.crypt\",\n",
+    "    \"sci.electronics\",\n",
+    "    \"sci.med\",\n",
+    "    \"sci.space\",\n",
+    "    \"soc.religion.christian\",\n",
+    "    \"talk.politics.guns\",\n",
+    "    \"talk.politics.mideast\",\n",
+    "    \"talk.politics.misc\",\n",
+    "    \"talk.religion.misc\",\n",
+    "]\n",
+    "newsgroups = fetch_20newsgroups(categories=categories)\n",
+    "y_true = newsgroups.target\n",
+    "\n",
+    "vectorizer = NumberNormalizingVectorizer(stop_words=\"english\", min_df=5)\n",
+    "cocluster = SpectralCoclustering(\n",
+    "    n_clusters=len(categories), svd_method=\"arpack\", random_state=0\n",
+    ")\n",
+    "kmeans = MiniBatchKMeans(\n",
+    "    n_clusters=len(categories), batch_size=20000, random_state=0, n_init=3\n",
+    ")\n",
+    "\n",
+    "print(\"Vectorizing...\")\n",
+    "X = vectorizer.fit_transform(newsgroups.data)\n",
+    "\n",
+    "print(\"Coclustering...\")\n",
+    "start_time = time()\n",
+    "cocluster.fit(X)\n",
+    "y_cocluster = cocluster.row_labels_\n",
+    "print(\n",
+    "    f\"Done in {time() - start_time:.2f}s. V-measure: \\\n",
+    "{v_measure_score(y_cocluster, y_true):.4f}\"\n",
+    ")\n",
+    "\n",
+    "\n",
+    "print(\"MiniBatchKMeans...\")\n",
+    "start_time = time()\n",
+    "y_kmeans = kmeans.fit_predict(X)\n",
+    "print(\n",
+    "    f\"Done in {time() - start_time:.2f}s. V-measure: \\\n",
+    "{v_measure_score(y_kmeans, y_true):.4f}\"\n",
+    ")\n",
+    "\n",
+    "\n",
+    "feature_names = vectorizer.get_feature_names_out()\n",
+    "document_names = list(newsgroups.target_names[i] for i in newsgroups.target)\n",
+    "\n",
+    "\n",
+    "def bicluster_ncut(i):\n",
+    "    rows, cols = cocluster.get_indices(i)\n",
+    "    if not (np.any(rows) and np.any(cols)):\n",
+    "        import sys\n",
+    "\n",
+    "        return sys.float_info.max\n",
+    "    row_complement = np.nonzero(np.logical_not(cocluster.rows_[i]))[0]\n",
+    "    col_complement = np.nonzero(np.logical_not(cocluster.columns_[i]))[0]\n",
+    "    # Note: the following is identical to X[rows[:, np.newaxis],\n",
+    "    # cols].sum() but much faster in scipy <= 0.16\n",
+    "    weight = X[rows][:, cols].sum()\n",
+    "    cut = X[row_complement][:, cols].sum() + X[rows][:, col_complement].sum()\n",
+    "    return cut / weight\n",
+    "\n",
+    "\n",
+    "bicluster_ncuts = list(bicluster_ncut(i) for i in range(len(newsgroups.target_names)))\n",
+    "best_idx = np.argsort(bicluster_ncuts)[:5]\n",
+    "\n",
+    "print()\n",
+    "print(\"Best biclusters:\")\n",
+    "print(\"----------------\")\n",
+    "for idx, cluster in enumerate(best_idx):\n",
+    "    n_rows, n_cols = cocluster.get_shape(cluster)\n",
+    "    cluster_docs, cluster_words = cocluster.get_indices(cluster)\n",
+    "    if not len(cluster_docs) or not len(cluster_words):\n",
+    "        continue\n",
+    "\n",
+    "    # categories\n",
+    "    counter = Counter(document_names[doc] for doc in cluster_docs)\n",
+    "\n",
+    "    cat_string = \", \".join(\n",
+    "        f\"{(c / n_rows * 100):.0f}% {name}\" for name, c in counter.most_common(3)\n",
+    "    )\n",
+    "\n",
+    "    # words\n",
+    "    out_of_cluster_docs = cocluster.row_labels_ != cluster\n",
+    "    out_of_cluster_docs = np.where(out_of_cluster_docs)[0]\n",
+    "    word_col = X[:, cluster_words]\n",
+    "    word_scores = np.array(\n",
+    "        word_col[cluster_docs, :].sum(axis=0)\n",
+    "        - word_col[out_of_cluster_docs, :].sum(axis=0)\n",
+    "    )\n",
+    "    word_scores = word_scores.ravel()\n",
+    "    important_words = list(\n",
+    "        feature_names[cluster_words[i]] for i in word_scores.argsort()[:-11:-1]\n",
+    "    )\n",
+    "\n",
+    "    print(f\"bicluster {idx} : {n_rows} documents, {n_cols} words\")\n",
+    "    print(f\"categories   : {cat_string}\")\n",
+    "    print(f\"words        : {', '.join(important_words)}\\n\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "927d506e-dd51-4616-888f-4c114a44b106",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Исключаем 'comp.os.ms-windows.misc'\n",
+    "categories = [\n",
+    "    \"alt.atheism\",\n",
+    "    \"comp.graphics\",\n",
+    "    \"comp.sys.ibm.pc.hardware\",\n",
+    "    \"comp.sys.mac.hardware\",\n",
+    "    \"comp.windows.x\",\n",
+    "    \"misc.forsale\",\n",
+    "    \"rec.autos\",\n",
+    "    \"rec.motorcycles\",\n",
+    "    \"rec.sport.baseball\",\n",
+    "    \"rec.sport.hockey\",\n",
+    "    \"sci.crypt\",\n",
+    "    \"sci.electronics\",\n",
+    "    \"sci.med\",\n",
+    "    \"sci.space\",\n",
+    "    \"soc.religion.christian\",\n",
+    "    \"talk.politics.guns\",\n",
+    "    \"talk.politics.mideast\",\n",
+    "    \"talk.politics.misc\",\n",
+    "    \"talk.religion.misc\",\n",
+    "]\n",
+    "\n",
+    "# Загрузка данных\n",
+    "newsgroups = fetch_20newsgroups(categories=categories)\n",
+    "y_true = newsgroups.target"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "11c70dd8-8a44-48e8-89c6-c13f2bef8987",
+   "metadata": {},
+   "source": [
+    "### 1.2 Препроцессинг данных\n",
+    "Создаем кастомный векторизатор, который нормализует числа в тексте (заменяет их на #NUMBER)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "157bc5ce-66e6-4c66-ad2f-8b25a40af6b5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def number_normalizer(tokens):\n",
+    "    \"\"\"Заменяет все числовые токены на placeholder #NUMBER\"\"\"\n",
+    "    return (\"#NUMBER\" if token[0].isdigit() else token for token in tokens)\n",
+    "\n",
+    "class NumberNormalizingVectorizer(TfidfVectorizer):\n",
+    "    def build_tokenizer(self):\n",
+    "        tokenize = super().build_tokenizer()\n",
+    "        return lambda doc: list(number_normalizer(tokenize(doc)))\n",
+    "\n",
+    "# Создаем векторизатор с удалением стоп-слов и минимальной частотой слова 5\n",
+    "vectorizer = NumberNormalizingVectorizer(stop_words=\"english\", min_df=5)\n",
+    "X = vectorizer.fit_transform(newsgroups.data)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "067ce0e9-cc59-427d-9d59-079092991301",
+   "metadata": {},
+   "source": [
+    "### 1.3 Обучение моделей"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "1eef0f0c-8956-4b2e-b1c7-4191e78bfed7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Coclustering...\n",
+      "Done in 5.62s. V-measure: 0.4415\n",
+      "MiniBatchKMeans...\n",
+      "Done in 1.40s. V-measure: 0.3015\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Инициализация моделей\n",
+    "cocluster = SpectralCoclustering(\n",
+    "    n_clusters=len(categories), svd_method=\"arpack\", random_state=0\n",
+    ")\n",
+    "kmeans = MiniBatchKMeans(\n",
+    "    n_clusters=len(categories), batch_size=20000, random_state=0, n_init=3\n",
+    ")\n",
+    "\n",
+    "# Обучение Spectral Co-clustering\n",
+    "print(\"Coclustering...\")\n",
+    "start_time = time()\n",
+    "cocluster.fit(X)\n",
+    "y_cocluster = cocluster.row_labels_\n",
+    "print(f\"Done in {time() - start_time:.2f}s. V-measure: {v_measure_score(y_cocluster, y_true):.4f}\")\n",
+    "\n",
+    "# Обучение MiniBatchKMeans\n",
+    "print(\"MiniBatchKMeans...\")\n",
+    "start_time = time()\n",
+    "y_kmeans = kmeans.fit_predict(X)\n",
+    "print(f\"Done in {time() - start_time:.2f}s. V-measure: {v_measure_score(y_kmeans, y_true):.4f}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ffe70635-8ac9-4038-a7b7-6fba38141441",
+   "metadata": {},
+   "source": [
+    "### 1.4 Анализ результатов\n",
+    "Выводим информацию о лучших бикластерах."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "8c166b37-814c-492b-a1e0-a4a367c88a7b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Best biclusters:\n",
+      "----------------\n",
+      "bicluster 0 : 8 documents, 6 words\n",
+      "categories   : 100% talk.politics.mideast\n",
+      "words        : cosmo, angmar, alfalfa, alphalpha, proline, benson\n",
+      "\n",
+      "bicluster 1 : 1948 documents, 4325 words\n",
+      "categories   : 23% talk.politics.guns, 18% talk.politics.misc, 17% sci.med\n",
+      "words        : gun, guns, geb, banks, gordon, clinton, pitt, cdt, surrender, veal\n",
+      "\n",
+      "bicluster 2 : 1259 documents, 3534 words\n",
+      "categories   : 27% soc.religion.christian, 25% talk.politics.mideast, 25% alt.atheism\n",
+      "words        : god, jesus, christians, kent, sin, objective, belief, christ, faith, moral\n",
+      "\n",
+      "bicluster 3 : 775 documents, 1623 words\n",
+      "categories   : 30% comp.windows.x, 25% comp.sys.ibm.pc.hardware, 20% comp.graphics\n",
+      "words        : scsi, nada, ide, vga, esdi, isa, kth, s3, vlb, bmug\n",
+      "\n",
+      "bicluster 4 : 2180 documents, 2802 words\n",
+      "categories   : 18% comp.sys.mac.hardware, 16% sci.electronics, 16% comp.sys.ibm.pc.hardware\n",
+      "words        : voltage, shipping, circuit, receiver, processing, scope, mpce, analog, kolstad, umass\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "feature_names = vectorizer.get_feature_names_out()\n",
+    "document_names = list(newsgroups.target_names[i] for i in newsgroups.target)\n",
+    "\n",
+    "def bicluster_ncut(i):\n",
+    "    \"\"\"Вычисляет normalized cut для бикластера\"\"\"\n",
+    "    rows, cols = cocluster.get_indices(i)\n",
+    "    if not (np.any(rows) and np.any(cols)):\n",
+    "        import sys\n",
+    "        return sys.float_info.max\n",
+    "    row_complement = np.nonzero(np.logical_not(cocluster.rows_[i]))[0]\n",
+    "    col_complement = np.nonzero(np.logical_not(cocluster.columns_[i]))[0]\n",
+    "    weight = X[rows][:, cols].sum()\n",
+    "    cut = X[row_complement][:, cols].sum() + X[rows][:, col_complement].sum()\n",
+    "    return cut / weight\n",
+    "\n",
+    "# Находим 5 лучших бикластеров\n",
+    "bicluster_ncuts = [bicluster_ncut(i) for i in range(len(newsgroups.target_names))]\n",
+    "best_idx = np.argsort(bicluster_ncuts)[:5]\n",
+    "\n",
+    "print(\"\\nBest biclusters:\")\n",
+    "print(\"----------------\")\n",
+    "for idx, cluster in enumerate(best_idx):\n",
+    "    n_rows, n_cols = cocluster.get_shape(cluster)\n",
+    "    cluster_docs, cluster_words = cocluster.get_indices(cluster)\n",
+    "    if not len(cluster_docs) or not len(cluster_words):\n",
+    "        continue\n",
+    "\n",
+    "    # Анализ категорий\n",
+    "    counter = Counter(document_names[doc] for doc in cluster_docs)\n",
+    "    cat_string = \", \".join(\n",
+    "        f\"{(c / n_rows * 100):.0f}% {name}\" for name, c in counter.most_common(3)\n",
+    "    )\n",
+    "\n",
+    "    # Анализ слов\n",
+    "    out_of_cluster_docs = cocluster.row_labels_ != cluster\n",
+    "    out_of_cluster_docs = np.where(out_of_cluster_docs)[0]\n",
+    "    word_col = X[:, cluster_words]\n",
+    "    word_scores = np.array(\n",
+    "        word_col[cluster_docs, :].sum(axis=0) - word_col[out_of_cluster_docs, :].sum(axis=0)\n",
+    "    )\n",
+    "    word_scores = word_scores.ravel()\n",
+    "    important_words = list(\n",
+    "        feature_names[cluster_words[i]] for i in word_scores.argsort()[:-11:-1]\n",
+    "    )\n",
+    "\n",
+    "    print(f\"bicluster {idx} : {n_rows} documents, {n_cols} words\")\n",
+    "    print(f\"categories   : {cat_string}\")\n",
+    "    print(f\"words        : {', '.join(important_words)}\\n\")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "60c0f67c-d371-4adc-9c0d-d1c5adc4b75f",
+   "metadata": {},
+   "source": [
+    "### 1.5 Визуализация результатов\n",
+    "Сравниваем результаты кластеризации по метрике V-measure."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "3d19b351-a57b-4de0-ae2a-b71cfcf4cf15",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Сравнение V-measure\n",
+    "plt.figure(figsize=(8, 5))\n",
+    "plt.bar(['Spectral Co-clustering', 'MiniBatchKMeans'], \n",
+    "        [v_measure_score(y_cocluster, y_true), v_measure_score(y_kmeans, y_true)])\n",
+    "plt.title('Сравнение методов кластеризации по V-measure')\n",
+    "plt.ylabel('V-measure')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b764e10c-184e-4fe2-be3b-41b684e93c4c",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ddb23f5d-791f-49cb-a044-e0a68153a0d5",
+   "metadata": {},
+   "source": [
+    "## 2. Работа с внешним датасетом \n",
+    "\n",
+    "### 2.1 Загрузка и подготовка данных\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "837d561a-25bf-4983-a768-07c3820b860b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "  Patient_ID  Age  Gender Smoking_Status  Years_Smoking  Cigarettes_Per_Day  \\\n",
+      "0    P100000   76  Female          Never              6                  37   \n",
+      "1    P100001   39    Male          Never             30                  39   \n",
+      "2    P100002   85    Male         Former             47                  14   \n",
+      "3    P100003   45  Female        Current             45                  32   \n",
+      "4    P100004   48  Female          Never             46                  26   \n",
+      "\n",
+      "  Secondhand_Smoke_Exposure Occupation_Exposure Air_Pollution_Level  \\\n",
+      "0                       Low        Diesel Fumes                 Low   \n",
+      "1                       Low              Silica                 Low   \n",
+      "2                      High            Asbestos                 Low   \n",
+      "3                    Medium              Silica                High   \n",
+      "4                    Medium              Silica                 Low   \n",
+      "\n",
+      "  Family_History  ... Diet_Quality  Region Income_Level Education_Level  \\\n",
+      "0            Yes  ...         Poor    West       Middle        Tertiary   \n",
+      "1            Yes  ...      Average   North       Middle         Primary   \n",
+      "2            Yes  ...         Good   South         High        Tertiary   \n",
+      "3             No  ...         Good    West          Low       Secondary   \n",
+      "4             No  ...         Good   North          Low        Tertiary   \n",
+      "\n",
+      "  Access_to_Healthcare Screening_Frequency Chronic_Lung_Disease  \\\n",
+      "0                 Good           Regularly                   No   \n",
+      "1                 Poor        Occasionally                  Yes   \n",
+      "2              Average           Regularly                   No   \n",
+      "3              Average               Never                  Yes   \n",
+      "4              Average           Regularly                   No   \n",
+      "\n",
+      "  Lung_Cancer_Stage Diagnosis_Year Survival_Status  \n",
+      "0          Stage II           2008           Alive  \n",
+      "1               NaN           2002           Alive  \n",
+      "2          Stage II           2007        Deceased  \n",
+      "3               NaN           2011           Alive  \n",
+      "4               NaN           2016           Alive  \n",
+      "\n",
+      "[5 rows x 24 columns]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\user\\AppData\\Local\\Temp\\ipykernel_8300\\3497225959.py:39: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  df_clean[\"Cluster\"] = model.row_labels_\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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UIv6AylAeu149OScGq26wPRv9Ke2Px1savg8o9AMAAADgW7RkAD05B6WZq306OgdvfNfU0q1Xb5dgV+ekpRuyvyv0kYI+iYmJMqdl7dq16dKlS7Rs2TLatGkTfffdd8EbXPID4miiT85avvbaa/T000/LnC3s/fffl/ktOcM5YsQIzccJyy6QtvxvKiCNyFLLj9VR1WLLpKnrWWqGEkMC9Q0EAAAA4GuM/KivdyoSI9/tPDW+0FnVVa3nWRoBoJ7uvOCetLQ0uu+++yglJYViY2OpZcuWEljedNNNFLTBpTNHjx6l1NRU6Qprxg9chw4dKCkpSVdwCQAAAAAA4K4CH8lcvvfeeyV+TL8OLjmwZJyptMTXzeu0CilQ3WDzKqjrcf1SpD29Xs1/mVtTvUhC8tU8mOBZ+OUKAAAAPEnvHJX2lumdJ9Ib522k66pW7szPafSxcZYVRbVY/+fXwaUn54c51iuSQsPDqcaPauylabuagiQ2TgWdKf3V8oiT2gfMgnYYlwoAAAClTetUHiURZGo9t5I6P737cnVO9tZdtW816s3vFPpI5rI0+Hy1WGcSEtQAyNOnT1st5+vmdY7mh+Hus5aXC1vWef18AQAAAAAgsBWYTF67+Dq/zlxydVgOItevX0+tW7eWZRcvXqQdO3bQQw895LRy0pQpU6yWNV/2JuVE5NGpLhFyvZzqFUu5Rd1kyx6Isuo2C96BDCYAAAAE8vcQoxVobbcv6YI+erO6Wrrc4nte4PH54PLy5ct0+PBhqyI+e/bsofj4eCmrO2nSJHrxxRepYcOGxVOR8JyYQ4cOdbhPexONhkT4/EMBAAAAAAA+rpCCl89HVLt27aKePXsWXzdnHEeNGkVLliyhJ554QubCHD9+PKWnp1PXrl1pzZo1uua4ZPU+U212JZVubj7pN2nvr7JZHfefE6RNu96vexL7DWQwAQAAwJuMjGEs7fOypGvsopvH8gRnx0ABn8Dh88Fljx49ZD5LR0JCQuj555+XizsKI1QV2PONVXtgZnNp7+yn2oQoVIktDQgyAQAAwBuMdAHVylkXUFfdXY2cg6eqrLpzv/V297W8TaBViS1AQR8AAAAAAACAAM5clpRTN4ZJW3dVlrRnp2VLW+6HeGkLIoP3Fwhf/3URAAAAoCS4yjY62660pinRsl4LZ/NVWq53VYDI2TkESgazIIjDBgSXRcqeUt1eD49VD0mNpXHSRj14QtqjJ6pIi3kuS5cnJgwGAAAAcEZPxVM929nbxpbWqqz21um9P1rOTW8FWkf3y972gTrPZTBDcAkAAAAAAOAhhRS8EFwWiUkukPZK1UhpU7qpl0XhsWrSRsepbrKFhMylr9D7SxoAAACAFnrndHSnWJA3u4DaHkvv+ds7P61db7V0iw3U72wFFLyFQH0+uJw1axZ98cUXdODAASpTpgx17tyZZs+eTY0aNSreJjs7m6ZOnUrLly+nnJwc6tevH7311ltUrZoKDLU4O1KNtSy7uYK0sdtVcHm6XYS0NeqelvYEqfXge1BZFgAAANyhtdurJ4I0T52bJ85TC1f7chUso35GcPD5arGbN2+mRx55hLZv305r166lvLw86tu3r8xtaTZ58mRatWoVffrpp7L9qVOnaNiwYaV63gAAAAAAEHwKTd67+Dqfz1yuWbPG6vqSJUuoatWqtHv3burWrRtlZGTQe++9R8uWLaNevXrJNosXL6YmTZpIQNqxY0dNx6lUQQWrZXeqePtKQrS0uXEqg3klT3WXBd+HDCYAAAC4Yu97gqe7qDrrFuvJ7zd6v/MYGVqktyKtlsI+rjKt4H98Pri0xcEki49XU4RwkMnZzD59+hRv07hxY6pduzYlJSVpDi7LR+ao/ddXXWlTe+er41S7qK6fVi921UkW/AGCTAAAAAjm+g+e6Oar9T5qHVOqa99+Wi22IIjHXPp8t1hLhYWFNGnSJOrSpQs1b95clqWmplJkZCTFxampQ8x4vCWvAwAAAAAAAO/zq8wlj73cu3cvbd261a39cNEfvlgqnFKBQkPDKeVBlbEMP68empjaqkpszDJVyOdkd7cODaUAGUwAAABwZ05Hbx/X3nrbc3B2bnq/2+jJuGr9/qRnrs9A7xZbEMSZS78JLidMmECrV6+mLVu2UM2aNYuXJyQkUG5uLqWnp1tlL0+fPi3rHFWgnTFjhtWyuOG9KP623lTzM5XMPdtSvSgyPr9G2pzrvXK3oAT5etcVAAAAKDl6vgfo/aHanX3bLvdmhVdbWrrFaunualSgdIsNZj7fLdZkMklguWLFCtqwYQPVq1fPan3btm0pIiKC1q9fX7zs4MGDlJycTJ06dbK7z8TERBm7aXmpOAQpSQAAAAAAcE+hKcRrF18X7g9dYbkS7MqVK6lChQrF4yhjY2Nl3ktux40bR1OmTJEiPzExMTRx4kQJLB0V84mKipKLpTJ7VbdXU5iqDlvxoGqfeP4DaSdvukvayDSU9AkU6C4LAAAA9hjN9Bnpuqq3Cquz/WntmurJ7qj4PnW1AnSL9V0LFy6UtkePHlbLebqR0aNHy//nzZtHoaGhNHz4cBlL2a9fP3rrrbd0HSdPxZZUNkWNsbxcS01FkrjsPrWiRp7b9wV8Eyb1BQAAAC0Bkt4gzNk0J6725SpQtPe9Re9UJK6CY2fnrbW7rKP7o+d8wX+E+0O3WFeio6NpwYIFcgEAAAAAACgtBb4/8jB4g8uSUufbTGlP3VhO2ti/VLfY2s9tkzZ1SmdpsyuV2imCl7kzGTEAAAD4FyNdQfV2YTVSiVbrdxAt31tcdVnVkxXVer6uCv6gp1hgQ3BZ5NKzKrjM+rOMtLF/qeWpk1RQ2fy2/dLu2tiktE4RShDGDwAAAAQ2PVNlmLkzLlJvt1hX9ARpeivSaglcjUw94mi9v089YqvQDwrveEvw5mwBAAAAAADAY5C5LHI2Q3WHLZes4u3CCNUtNqeyWp+aVVTxB4IKMpgAAACByVnm0FWBHHe+F7jKWLoqtuPs2K4yre5053VV/MdVF9tg+g5VEMTVYkP9oVpsy5YtZYoRvvAUI99++23x+uzsbJmupFKlSlS+fHmpGHv69OlSPWcAAAAAAIBg4/OZy5o1a9LLL79MDRs2lMqxS5cupSFDhtAvv/xCzZo1o8mTJ9PXX39Nn376qcx5OWHCBBo2bBj9+OOPuo5TYZPKXEbcckbazO+rSBt5Qa0/vreGtGGevXvgJ7zxyyUAAAD4FqPZNj2Fcbx9LiWVcTU6BtPZFCqBMvaywOTz+TuvCTFpmevDx8THx9PcuXPptttuoypVqtCyZcvk/+zAgQPUpEkTSkpKoo4dO2reZ4PlM6UNLyroYxaVrtqLrXOkjTgZ5bk7AgEDQSYAAEDwFvRxp3up1mDN0Tnpua3W9XrOw53usK5ucyhxMvmjzceu89q+u9f9k3yZX4XVBQUFtHz5csrMzJTusbt376a8vDzq06dP8TaNGzem2rVrS3AJAAAAAAAAJcPnu8Wy33//XYJJHl/J4ypXrFhBTZs2pT179lBkZCTFxcVZbV+tWjVKTU3VdYyCK+qhiPtbXb/Q84q05TepTKYpz6/icChhwTxoHQAAwB/p6brqjaydu5xNF2J0fkvb/Tnb1tU+9dyHQOkOaxbMBX38Irhs1KiRBJIZGRn02Wef0ahRo2jz5s2G95eTkyMXSxUrnaPQiHA6101VhW34luotnHa9Wh+WidGW4BqCTAAAAP/lKoBytb2ZJ8Zcaj2Wv33HCYYxl8HML9JxnJ289tprqW3btjRr1ixq1aoVvf7665SQkEC5ubmUnl40MLIIV4vldY7wPrj4j+Ul9eNtJXBPAAAAAAAgkBWYQr128XV+kbm0VVhYKJlHDjYjIiJo/fr1MgUJO3jwICUnJ0s3WkcSExNpypQpVsvu2f0EhUWmU8y8GLmeekNZaXMrqvXRqerJzMN0l6ABMpgAAAD+x2hFVFf707Kt3nNzdBxPVr+1dzx3v9M4684L/s/ng0sOBAcMGCBFei5duiSVYTdt2kTfffedZBzHjRsngSJXkOV5MCdOnCiBpbNKsVFRUXKxdHFOfWmP3qmud22+T9qD7zSR9mz3XGlRLRb0cDbBMT5IAQAAfJOrcYZaA0VnYxdd3cad7wl6u/d6gt6qt4HcHbYQYy59V1paGt13332UkpIiwWTLli0lsLzppptk/bx58yg0NFQyl5zN7NevH7311lulfdoAAAAAAABBxeeDy/fee8/p+ujoaFqwYIFc3FHhKVUmturietLu+7mptN0m/CRtWo7qD7vrpMpkAhiFLrMAAAClr7T+DrvK1umds1LLMTy5T9t9uHPeersZ+4sC/yhrE5zBZUm5NLOWtJfHX5I2LEmNvbwzfoe000eMURveUlpnCIHGEx/0AAAAYIyRiq6eGHPpbpVVPYGY1u8azvbtqS7CwaTADwrveEvw3nMAAAAAAADwGGQuixy7u1DasKOq+2uDLSqDeX/oRGnjaqr1AN6CjCUAgDHo+QGl9bopza6gzooGOtrGG+8Rd4b7BGr2szCI83cILotUTFJVYCMyTVbLTUWPUEFU8FZ9AgAA8GUYyw5G6OkC6uw2lss9+drztfGIRh8bf7qP4D6/CqtffvllCgkJoUmTJhUvy87OpkceeYQqVapE5cuXl6qxp0+fLtXzBAAAAACA4FRgCvHaxdf5TeZy586d9Pbbb8tUJJYmT55MX3/9NX366acyVcmECRNo2LBh9OOPP+ra/4XmBdJes0FdT+msusdm1c6XNryD6iZLeyt64N4AAACAp2FuYdDDyGvDE5k2b2Tp9J6XO/NgOspgulNwCBnLwOEXweXly5dp5MiR9O6779KLL75YvDwjI0OmKlm2bBn16tVLli1evJiaNGlC27dvp44dO2o+Rpe2B6Xdnq2mGqm2XY2xLOiW6eF7AwAAACUFXWbBk9VitU7xYW9/el973gy89E4rAvoU+FfnUI/yi3vO3V4HDRpEffr0sVq+e/duysvLs1reuHFjql27NiUlJZXCmQIAAAAAAAQnn89cLl++nH7++WfpFmsrNTWVIiMjKS4uzmp5tWrVZJ0eOzY1lTZhp+oee/buLGmjN6pfbir/li1tcl+DdwQAAABKDTKY4M3Xi54uoVq3dacLrqPzddWV1dltbPft7nydzvbl791kC4N4nkufDi7//vtveuyxx2jt2rUUHR3tsf3m5OTIxVLln3IpNCycIi+q4LLi5+WkvXLXeWmr3qWKBCVvVN1mAQAAwP8YmToCgofesYiuKqfa29YoZ0Gm1mDSVYVXZ/fX3a60RqZpoSHklwr8o3OoV/j0Pedur2lpaXT99ddTeHi4XDZv3kxvvPGG/J8zlLm5uZSenm51O64Wm5CQ4HC/s2bNkuI/lpeTB9aXwD0CAAAAAAAITD6duezduzf9/vvvVsvGjBkj4yqnTZtGtWrVooiICFq/fr1MQcIOHjxIycnJ1KlTJ4f7TUxMpClTplgt6z7pbcoJC6WT/VSJ3zpfqYI+6bvjpU1JKl+0oWfvIwAAAJQedJcNXvaec093x3RWLEhrd1hvZuq1dJPVWuTI9hieKKDkrwr8YMqQoAwuK1SoQM2bN7daVq5cOZnT0rx83LhxEijGx8dTTEwMTZw4UQJLZ5Vio6Ki5GKJu8QCAAAAAACAMX4fUc2bN49CQ0Mlc8njKPv160dvvfWW7v1c6n9Z2poflZE2eajKXNb/QI3NrPbSX9KexJhLAACAgIOxmFBS81yW5DyS7h7bcpm7+wqm91Khb4889Cq/Cy43bdpkdZ0L/SxYsEAu7oiOzJP2XDPV/bXmKrX80j/VeE5TVgW39g8AAAD+A8Em2KOnO6mnj+VovZbjuyo85Kzwj9H7qqXYEd5XgcfvgksAAAAAAABfVYCpSCDrgJors+wldb1MmuoOe/nrKqrNMqkVDUvpBAEAAKDUBFMxkmCmtwCO7e2MTLfhiXkujWZQjRT08WS21ptdfKF0ILgskl85X9roFqobbP5e9WK/cL3qLhsSrsZgRpy0LgQEAAAAwQNd+gKHlnkjS2PcoJFjuQoSHe1Ly3hOvft0dbtgUEioFgsAAAAAAABuKkC3WDCpxCSZPqks7fkm6heHsIuqO2yztkelPXCyfmmdIgAAAPiQYM7MBCqj3WL1FL3RWqjHUabQWddVvd1LPVGYSOt5uvOYgP/w+eBy+vTpNGPGDKtljRo1ogMHDsj/s7OzaerUqbR8+XKrqUiqVaum6zih0QXSlj+hgsnjo9X1VnVOSnvx6Zpqw77u3ycAAAAIHKgs65+8+TzZ26dt4KQ3oNLSdVXrPrWOHXW2b0fdY7UGzfZuGygKgngqEr+4582aNaOUlJTiy9atW4vXTZ48mVatWkWffvopbd68mU6dOkXDhg0r1fMFAAAAAAAINj6fuWTh4eGUkJBw1fKMjAx67733aNmyZdSrVy9ZtnjxYmrSpAlt376dOnbsqPkYUYeipTVNU5nK6PXXSFut0UVpfx+oCvmEqLo/AAAAAHahu2zgFfTRS0vVVW92AS3J+Te1FAWyd3tvnZ8vKDShoI9PO3ToENWoUYOio6OpU6dONGvWLKpduzbt3r2b8vLyqE+fPsXbNm7cWNYlJSXpCi6zE1Q32JQfVVBZMylb2u0Xr5e2zh/qenJfFYQCAAAAOIMg07cZmTbEnedab7dYTwRpel+DnnxMXN3enX2A7/L54LJDhw60ZMkSGWfJXWJ5/OWNN95Ie/fupdTUVIqMjKS4ODVHpRmPt+R1AAAAAAAAJanAP0YeBmdwOWDAgOL/t2zZUoLNOnXq0CeffEJlypQxtE8u/MMXS+Fxlyg0IpxyQlVmsjBCvShMYWr9332QsQQAAAD9kMH0TaU1z6UvVEbVWpHW2bZmnsyKgv/z+eDSFmcpr7vuOjp8+DDddNNNlJubS+np6VbZy9OnT9sdo2nG3WptK9DGDu1NcbfeRCE5KqhM7qeiyuizan1Ik0vSmg5W8MbdAgAAgACHINO32Hse9E4PoqdyqtaxiUaqsXrqtaRluhBH27p6XQdTtdjCIJ7n0u/u+eXLl+nIkSNUvXp1atu2LUVERND69euL1x88eJCSk5NlbKYjiYmJUgzI8hJ7c88SugcAAAAAAACBx+czl//85z9p8ODB0hWWpxl57rnnKCwsjO666y6KjY2lcePG0ZQpUyg+Pp5iYmJo4sSJElg6K+YTFRUlF6tlcYX8+wmVT4qU69Hn+DrR+Saq2lPM6vLSpjf04p0FAACAgIcMZuDQmtF0dhut+3S0nSWt52FknktP0VLsyN8VEKrF+qwTJ05IIHnu3DmqUqUKde3aVaYZ4f+zefPmUWhoKA0fPlzGUfbr14/eeust3cep9aZ6KP7uXbSgMNSqiiyFFA2+BAAAAPAABJmly5tjH7UEfo7Ow8h4T72vIaPjJo0cS8++AiXILAzibrE+H1wuX77c6XqenmTBggVyAQAAAAAAgNLh88FlSTlyn8pMhlxW3WErrVHzWp7vqpbH1T8n7bmfq5baOQIAAEDgCaZCJ77OaEbPG1lGT3S19eQxHB1L62vV3vaB+jovCOJuscGbswUAAAAAAAhQs2bNovbt21OFChWoatWqNHToUCl+6k3IXBaplKB+Tak4q6y0yX1V+3qXpdK++OJ9akMU9AEAAAAvsDclRqBmdvyNN58PvWMxPZFddKegj57b2luvZV/+rtBHxlxu3ryZHnnkEQkw8/Pz6amnnqK+ffvSvn37qFy5cl45JoLLIhEfxEub1k69GMq0PS/t/DF3SHtuuEnasMzgTXMDAABAyXCn4Ap4nt45HrV0ATWyD0dcBXyutnM2t6Y7hYZcHVtvgAr6rFmzxur6kiVLJIO5e/du6tatG3mDb4TVLpw8eZLuueceqlSpEpUpU4ZatGhBu3btKl5vMpno2WeflbkveX2fPn3o0KFDpXrOAAAAAAAQfApMoV678OwYFy9etLrwMi0yMlTQzlM4eovPZy4vXLhAXbp0oZ49e9K3334rU5Bw4FixYsXibebMmUNvvPEGLV26lOrVq0fPPPOMTEnCKV+uJqtF9Hk15UjkJVXQ50S7MtJWiFfzXtb+Jl/ak93VdQAAAICSgmlLSpbRqT2c3c5RsR1356bUsy9Xy+2dq97buJN9vOo+DtG9i6AYRzljxgyrZc899xxNnz7d6e0KCwtp0qRJElc1b948eIPL2bNnU61atWjx4sXFyziAtMxavvbaa/T000/TkCHqFfj+++9TtWrV6Msvv6QRI0ZoOk7ExVxpj92s+h/X+kB1g01/WL3Iyyz/XzALAAAAUBoQZJYOV4GVq+31BF16u89q3UYPb+47GBR6sVpsYmIiTZkyxWpZVFSUy9vx2Mu9e/fS1q1byZt8vlvsV199Re3ataPbb79d+gi3adOG3n333eL1R48epdTUVOkKaxYbG0sdOnSgpKSkUjprAAAAAAAIRgVe7BbLgWRMTIzVxVVwOWHCBFq9ejVt3LiRatas6dX77vOZy7/++osWLlwoETpXONq5cyc9+uijFBkZSaNGjZLAknGm0hJfN6/TInTmWWnrPKN+aThyh+pOG7GnqE9yJU/dIwAAAAD3IIvkPj2PnbNuo5brtWQnXXVhdbRPPRzdRm8XXKPHd3ZOzvaNgj6exT08J06cSCtWrKBNmzZZ9f4M2uCS+wdz5nLmzJlynTOXnNJdtGiRBJdG8KBX24Gv5/5dg0LDwqlsOTW20hSTp9pq6npelnfK9QIAAAAYhSDTO8GO0YBPS1BkdIyls2BU7/Pu6vVir1uso2Npfe1p2S5QxlwWmnxjdgnuCrts2TJauXKlzHVpTrxxL08uguoz3WLz8vLo77//lkk4z59XU3Z4C1eAbdq0qdWyJk2aUHJysvw/ISFB2tOnT1ttw9fN6+wNhOUH1fKS8vt6r90HAAAAAACAksS9P7lCbI8ePSSmMl8+/vjj0s9cXrp0iT744ANavnw5/fTTT5Sbmyup1pCQEOm7yxNyjh8/Xibp9CSuaMRBrKU///yT6tSpI//n9C4HkevXr6fWrVvLMi7Ju2PHDnrooYc0D4TtNuVtyg8LoYhpKXK9zIba0jbtr4LY3IQwaQ9sre/R+wdgC78+AwCAXvibUbp/b/Vk5Wzpreyqp8uo3gqvRmg9/2BS4CNlbThWK2magstXX32VXnrpJWrQoAENHjxYxj7WqFFD0qmcueRuqj/88IMEmFxIZ/78+dSwYUOPnODkyZOpc+fO0i32jjvukMD2nXfekQvj4JbL6r744otyTPNUJHx+Q4cOtbtPHvRqO/C10hHu/ppPZz5TQWWkiiXp590NpA2torrR+sZLBQIZujgBAACUDqPTbWgJ2rSO2/RkkOnqPF11/9V7PABNwSUX0dmyZQs1a9bM7vobbriBxo4dK+MgecoQDjQ9FVxyJpQHoXK28fnnn5fgkaceGTlyZPE2TzzxBGVmZkrmND09nbp27Upr1qzRPMclAAAAAABAII25LA0hptLIl/qgznf8S9qyqdnSpnYsK22lP1Rhn9CpakzniR3eLd8LYAsZTAAAAO+xVxhHT0ZSy3JX6+ytd2eeS1f70LNvrcfQe7+0HP9Q4mTyR0/8ervX9j2n1afky3RXi+XM5J133klly6rgK1BcM+mwtKdeVd1gLzcvqiZrUt1nr6SpuUjQLRZKmjfGRwAAAIDxKqp6AihXxyiJ7qaeGBfpqe8j3pjmxNcUBnHEoPueP/nkk1JAZ9y4cbRt2zbvnBUAAAAAAIAfKjCFeO3i63RnLk+ePEmrVq2iJUuWSFnb+vXr05gxY2TOSUdTf/iD4++oMaLnbr8ibcUtKjMbUqjWX85VcXjw/g4BvqIkJjoGAAAIdHq6gHqq0I+9bbSen555Ll0V8HHESHdYrY+N1nMA/6Y7uAwPD6dbb71VLjyXJE9PsnTpUqnQ2r9/f8lockXZ0FD/CsPK/50rbe4PKqi80EF1izXlFpWNzfOv+wPBQ8+YCwAAACCXQZqrgE5rkKZlPKfWbrF6xkVqpWesqN4utUbGoQaKQj/IMHqLWxFTtWrVpDJrp06dJJj8/fffJYPJU5Zs2rTJc2cJAAAAAAAAgZW5ZJyx/O9//yvFff766y+ZT3L16tXUp08fmRKEpwzhIPP48eNun2DdunXt7ufhhx+mBQsWUHZ2Nk2dOpWWL19OOTk51K9fP3rrrbck8NXjRE9VuCeqZbq0td8rL+3xIaqYbrnDEdLmVXD7LgF4DYr/AAAAaFMSfyPt9S4yyp1Kru7Mz2nmTldgZ/uxvG2gKDQFb49H3cEld3n97rvv6LrrrqP777+f7rvvPoqPjy9eX65cOQn25s6d65ET5Dk2CwoKiq/v3buXbrrpJrr9dlXid/LkyfT111/Tp59+SrGxsTRhwgQaNmwY/fjjj7qOE6ViSgpdHydt9kNnpO1WMU3aH3IaSxuRXtRNFsAPINgEAADQzlXXT61/P+1t72osorPbuktvUOmNrqueGIcKARhcVq1alTZv3ixdYR2pUqUKHT161N1zK96XpZdfflm63Xbv3p0yMjLovffeo2XLllGvXr1kPWdTmzRpQtu3b6eOHTt65BwAAAAAAAC0KKDgHXOpO7jkYM6VkJAQqlOnDnlabm6uFBCaMmWKHGP37t2Ul5cn3XHNGjduTLVr16akpCRdwWWhOSHZTaUwM7Kipd2+p5m0pip5RRsgcwn+y+gvsAAAAIHGyByPnuj6qfe2WgoAudqn3oyls/25qkRbGvN4gu8w1CF4/fr1dPPNN0sGkS/8/3Xr1pG3ffnll5Senk6jR4+W66mpqRQZGUlxcaorqxmPt+R1jvDYzIsXL1pdCvPzvX7+AAAAAAAQ2ApNIV67BFzmkovlPPbYY3TbbbdJy7gL6sCBA2nevHn0yCOPkLdw1nTAgAFUo0YNt/Yza9YsmjFjhtWyhOv7UvV2/Sn8c/UrS+b1anlhgpqiJO6XSGmz/HcqT4BiyGACAADo//uo9e+nljGX7o77dJYR1Dsvp7NzNDpPpZ7vGIGW3SxEQR/tZs6cKUEkF84xe/TRR6lLly6yzlvBJVeM5ezoF198UbwsISFBuspyNtMye8nVbHmdI4mJidK11tKAe96i0LQCisxQ3V8zGqhusWUOqaAyOl1Vjc1K8P1fDAC0QpAJAADByt7fPk9VXfVGYRxPznPpqriQlqDY0W307Fvr+YD/0B1WcyDXv3//q5b37dtXCux4Cxfq4WJCgwYNKl7Wtm1bioiIkG66ZgcPHqTk5GSnBYeioqIoJibG6hIaZmhWFgAAAAAAgGKFFOK1i6/THVHdcssttGLFCnr88cetlq9cuVLGXnpDYWGhBJc8d2Z4+P9OmaceGTdunGQheToUDhInTpwogaXeSrF5ZdWTdfoeNfayRfVD0h5NV9Os1ItXU5Kc29jEY/cLwFcggwkAAOC6+6irLqp6uoA66t7qiWMY/buup1us3oymlmzkVec7RNNpgz8Hl02bNqWXXnqJNm3aVJwd5DGXPK8kz2/5xhtvWHWX9QTuDsvZyLFjx161jrvohoaG0vDhw6VQT79+/WRcqF7ZFVUSN2JneWl3N6orbY01qjrsz3eq7rEAgQxBJgAAgH6uAkU99HS1tV2n9++4N//eaxkrGqjfMwr8oPCOT01FUrFiRdq3b59czHjMo+U0JTxViKeCS+5yazKpMY+2oqOjacGCBXIBAAAAAAAAPwkujx49SoGo8m9Z0h6+R2Uo63yqlmfWUL88hO2qIG2hagACWjD9uggAAOCK1u6x3pzb0Z05KPVmKO39/dd7n7RUpA3UnlKFqBarH1dp5UCT57m0HAfpr8KuFM1zWRAlTfkn/5b21I/1pM27JkfaiJNqPUAwCIY/AAAAAJ4O0pyNXXQVrHljiIrWbrvOjql1LKir+4cfrgOb7rA6KytLiuiULVuWmjVrJmMhGRfSefnll71xjgAAAAAAAH6h0BTitYuv051y5Dkif/31VynoYzklSZ8+fWj69On05JNPkj/KrF1O2tgDqoDPpTW1pC2864ra4AIK+kBw0zNRNAAAgK/TUiBHb5EdZ/M1+tLfSVdZRyNdgm23D2aFfjBliM9kLr/88kt68803qWvXrlK0x4yzmEeOHPH0+VFBQQE988wzVK9ePSpTpox0w33hhResCvzw/5999lmqXr26bMOB7qFDaioRrbIqh8klfn+uXDLqhsslP0tdqFy+ugCAFf6jwhf+Y4I/KAAA4C/Mf7fMf8c8Gfw527ftOm/8vXW0je0x3dmnp+4XBHlweebMGapatepVyzMzM62CTU+ZPXs2LVy4UALa/fv3y/U5c+bQ/Pnzi7fh6zwFyqJFi2jHjh1Urlw5mZIkOzvb4+cDAAAAAADgSCG6xWrXrl07+vrrr2WMJTMHlP/+97+L5730pG3bttGQIUNo0KBBcr1u3br00Ucf0U8//VSctXzttdfo6aeflu3Y+++/T9WqVZMs64gRIzQdp/wdp6Q9+mc1aRO2Fko7rdvn0r68v5+0V1DQB8AudyvTAQAA+Cs9czpqLXijdY5KPfvWyki1WL3bOToe+DfdweXMmTNpwIABMsdlfn4+vf766/J/DgI3b97s8RPs3LkzvfPOO/Tnn3/SddddJ+M9t27dSq+++qqs54q1qamp0hXWLDY2ljp06EBJSUmag8vkgyqorPdlgbQnu6sxlk//pALW8KNl1IbBW1kYQBdvVLsDAADwFD2BmN5Kqc64qhqr9VjO9q33HNz5G+2JarHenMKlNBQG8VQkuu85j7Xcs2ePBJYtWrSg77//XrrJciDXtm1bj58gFwjiALFx48YUERFBbdq0oUmTJtHIkSNlPQeWjDOVlvi6eR0AAAAAAAB4l6EJKrmozrvvvksl4ZNPPqEPP/yQli1bJkWDOLDl4LJGjRo0atQoQ/vMycmRi6Vyf5ooNDyccmPU9YJoVTAo+o+ijGVR/aC8Cu7cG4DggwwmAAD4Int/lzzV9VPPfJFaj+Xs76m783KWpGCYQ7vQD8ZG+kxwGRYWRikpKXaL+njD448/Xpy9ZJwtPX78OM2aNUuCy4SEBFl++vRpqRZrxtdbt25td5982xkzZlgtq9auL1Vv35/CclUUWX+FmoIktWNZaZvftl/aXRubeOV+AgQ6BJkAAODrtE6z4SpA1DKlhye7rLrqpqv3b6+RgNvR+WsZhwpB3C3WcgqQkpCVlUWhoaFXBbiFhargDk9RwgHm+vXri9dfvHhRqsY6KjDEc3VmZGRYXapd/78xmwAAAAAAAEbnuSz00iUgu8V6Y8oRRwYPHkwvvfQS1a5dW7rF/vLLL1LMZ+zYscXnwt1kX3zxRWrYsKEEmzwvJnebHTp0qN19RkVFycVS+NB0aVP2VFb7LVQPTVhR79k/zqgMKQC4BxlMAADwBc6yj0YyfFqzdFqzn7b0VKJ1dJ5GigRppXXfwVAtthDdYvUxd0W1p6BAVVv1FJ7PkoPFhx9+mNLS0iRofOCBB+jZZ58t3uaJJ56QeTbHjx9P6enpUnRozZo1FB0drfk45w/HS1vzJ3X+BRHqRVHulJor83hURbVh8BZ/AvAod7oMAQAAeIPeoMtIN1RPVUZ1Z+yinjGanp6KxNnxAi3IDEaGgsvPPvuM4uNVMOZtFSpUkHks+eIIZy+ff/55uQAAAAAAAJSWQmQuteNArkuXLiVW0KekmKLVGM5TN4ZJG3ZFvShM4Sr7Gd8uTdpzPwfW/QbwJegyCwAAJUVP1VW93Cle44m/ha66pPpKhtDXzgdKIbgs6YI+AAAAAAAA/qIQmUvtNm7cWGJdYktS3S/MQXO++nfqWWlPxlSTVv0LACUBGUwAAPClrJnW4jS2+/Jk1tGTXE1d4ux8SqIIEARRcMmFc3jaj379+lkt/+6772R6kAEDBpA/yqyuHoozPXOlrfyRKlpUO0UFmyFfx6kNu5fWGQIEHwSZAADgC7RWW9USJHkqoHLW5Vbv3JOOtnO2b0eBNAJFCurMpe7ap08++aTdirDcXZbXedqlS5dkqpE6depQmTJlqHPnzrRz506r43Ll2OrVq8v6Pn360KFDhzx+HgAAAAAAAODBzCUHbk2bNr1qeePGjenw4cPkaf/4xz9o79699N///lemIfnggw8kgNy3bx9dc801NGfOHHrjjTdo6dKlxXNcclaV1+uZiiTuYJa0YbllpQ3PUgV+0tpFSHulugqoI9R0mABQgrT8sgoAAKCHlr8lrrq5Gpnn0lO9drTMF+mou6s7PYP0ZD1dCdQsZyEFb+ZSd3AZGxtLf/31F9WtW9dqOQeW5cqV8+S50ZUrV+jzzz+nlStXUrdu3WTZ9OnTadWqVbRw4UJ64YUXZIqSp59+moYMGSLr33//fapWrRp9+eWXNGLECM3HyrymjDpmJfViyL5OVY2NLAom6zVKkfbEjpoevY8AoB+6ywIAgDe5+vuitZups0q0npw30pvzchq5jbPz9+bcn76iEN1iteMgjrupHjlyxCqwnDp1Kt1yyy0ePbn8/HzpgmubgeTur1u3bqWjR49SamqqZDItg98OHTpQUlKSR88FAAAAAAAAPJi55G6o/fv3l26wNWuqLN6JEyfoxhtvpFdeeYU8qUKFCtSpUyfJUDZp0kQykh999JEEjtdee60EloyXW+Lr5nVa5Yw5L23lueWlPTokSi2vmydtzMIaasPr3b9fAOAZWn9RBgAA0ENr0RpX7HWLdZXBdFXB1VnRHXe78To7b292Ow60YkCFQZy5NNQtdtu2bbR27Vr69ddfJYvYsmXL4m6rnsZjLceOHSvjK8PCwuj666+nu+66i3bv3m14nzk5OXKxdOFsFIVEhJOpkcqSxv6plhdERkqbWwHzewL4C3fGugAAQHBw9rdC67hCT44/9CR3z0dLd153g05N56lGvUEgB5csJCSE+vbtKxdva9CgAW3evFmmQLl48aJUhb3zzjupfv36lJCgpgs5ffq0LDfj661bt3a4z1mzZtGMGTOslsUN70Xxt/X24j0BAAAAAIBAV4jMpT4c6HHAl5ycTLm5al5Is0cffZS8gYsF8eXChQsypyZ3z+XqsBxg8ryb5mCSA9AdO3bQQw895HBfiYmJNGXKFKtlnZ5+m0J/CqcClaik7EqqrbZbzXN58i7VPTb0qCr8AwC+T0thAgAAAFdcFexx1ZXVchtXnHVRdbVvPefjbHt3srmO4O9vcNAdXP7yyy80cOBAysrKkiAzPj6ezp49S2XLlqWqVat6PLjkQJLnsmzUqJEUDnr88cdlvOeYMWMkg8rFhV588UVq2LBh8VQkPGXJ0KFDHe4zKipKLpauu/OYtPu/v1baKnvU1CMnu6mqsbGb1EN1qY5H7x4AlDBUmgUAAE8FkVrXO9vWE1wFia4CQj1Vbh0tN1I9NlD/BhcGceZSd7XYyZMn0+DBgyWDyOMtt2/fTsePH6e2bdt6vKAPy8jIoEceeUQCyvvuu4+6du0qAWdEhJp/8oknnqCJEyfS+PHjqX379nT58mVas2aNrjkuAQAAAAAAwD0hJk4L6hAXFyfdTjmTyP/nyq1cyZWXjRo1ig4cOED+qFfvl6VN7q/6xdbYqjKXaW1UxjLqgtouSw3zBIAAgQwmAEBw0lPN1Exvl1AtxWts1+udY9PeMne7quoquuNgn45ur+c2hxInkz/qsf6fXtv3pt6eT+aVardYzhiGhqqEJ3eD5XGXHFxyFdm///6b/FVejHoo8ssXWnWHpaLYu01/FTTv2tiktE4RALzA1yr8AQCA73EVGGq5natgUuux7P19cicwNXreRtkLXANlChKzQgrebrG6g8s2bdrQzp07ZYxj9+7d6dlnn5UxlzxlSPPmzb1zlgAAAAAAABBYweXMmTPp0qVL8v+XXnpJxkFyZVYONv/zn/+Qv/r7FpWxDI1S1WFrrlIPTdm9p6T9uX7NUjw7ACgpyGQCAAQvrVVW3SkSpzVL56yCq7fYux/4u6hfYRAX9NEdXLZr1674/9wtlovnBIIa36pusKd6qi6/5xur62ltVXnYaktV0JnSsdROEQBKgZ6xIvhDCwAQmPQGnba303Obkqh27qrqrb1tnW2jJxjWUokWgmyeSwAAAAAAALiaCZlL7XheS2fOnz+veV9btmyhuXPn0u7duyklJYVWrFhhNT8lF7J97rnn6N1336X09HTq0qULLVy4ULrgWh6PpyJZtWqVFBoaPnw4vf7661S+fHld96vaY39JGz67rrQZ9dTy5gP+lPbAlet07Q8Agge6DAEA+B893U1Lco5kI8cwOp+lnmPqLTSEeaWDk+7gkoO81157TarDuiszM5NatWpFY8eOpWHDhl21fs6cOfTGG2/Q0qVLqV69evTMM89Qv379aN++fcXzWI4cOVIC07Vr11JeXh6NGTNG5rxctmyZ2+cHAAAAAACgRyEyl/qMGDFCxlu6a8CAAXKxh7OWHMQ+/fTTNGTIEFn2/vvvU7Vq1ejLL7+Uc9i/f7+M+eTqteaxoPPnz6eBAwfSK6+8QjVq1NB8LueKMpbJA9SLoWq9M9Lu/1JlLEO7F010ubeiO3cZAIIAfq0FAPBPnv78NjK+UGtvGC3jOR3dH1cZTT1jRY1MneLo/CAIg8uQkBCpFluhQgUqU6aMd86KiI4ePUqpqanUp0+f4mWcLe3QoQMlJSVJcMltXFycVZEh3p67x+7YsYNuvfVWzcfLj1aFfMqeUG3GmSrShpRV67NPxEgb4Zm7BwBBAN1lAQD8i9bupb7wo6KWwFVr4R53zltroOqsWJDReUR9lQmZS+04o3jddUXZvNBQySTy3JfctVVPMOcKB5aM92+Jr5vXcWubQQ0PD5dxoeZt7MnJyZGLpcKCfAoNQ30jAAAAAAAwrhDBpXYbN26UAJPHN168eJFOnTol3VLvuOMOeuedd2TMo6+bNWsWzZgxw2pZvZo9qUHtXhSWp8ZyJg8ySRuWpTKZtdeo65iKBACMQiYTAMB32PsM1jJ9hqPbGj2uo2O6OoaebrH2bmO53llm01WXWr3n7+y8r7qNGhkHgRxcdu/e3e7y66+/nl599VWPBZcJCQnSnj59mqpXr168nK+3bt26eJu0tDSr2+Xn50sFWfPt7UlMTKQpU6ZYLRv98z8pLPIkHfxMZWW7ttgn7S+rmkp7TeJBaVM2NvHI/QMAwNhMAAD/oLfrp73PdU+PLzTSzdRIQOjuGNFgHINpUjmpoKTSch5w//330wsvvOCp3Ul1WA4Q169fX7yMM6U8lrJTp05ynVuuXstTmZht2LCBCgsLZWymI1FRURQTE2N1CYsM89i5AwAAAAAABBvdmUvuDhsRcXVZm3LlyumeW/Ly5ct0+PBhqyI+e/bskTGTtWvXpkmTJtGLL74o81qapyLhCrDmuTCbNGlC/fv3l8B20aJFcm4TJkyQYj96KsWyI0uLxpEW3bXsAvWfrBoF0qZmVdC1PwAArZDBBAAoefayZKVZmEdPhs92e9uMqqtMq55so6ceA2f7CbS/f4WEMZeaDRo0iFauXGlVKZaDxMmTJ9NHH30k/9dq165d1LNnz+Lr5q6qo0aNoiVLltATTzwhc2HyvJWcoezatatMPWKe45J9+OGHElD27t1bCgwNHz5c5sbU63yXXGkTvldB5eksFSiH5qjk7pW8SN37BADwVhcnAADw3phLT05BYrtvrbfV0tXW6DG8QevYTHvn73AbjLkM/OCSu5xyIPftt9/K1CBr166lf/zjH5Jp/OWXX3Ttq0ePHlIcyNm0J88//7xcHOEs57Jly3QdFwAAAAAAwBtMqBar3TfffEN33nkndevWjdq3by/ZSh5ryZlLDgb91mU15vJiHXUfqs2pJK1pcBCPyAWAUoeMJTiCrDZAyXWLNVotVktlVFfH1rre3raOzkfrsext4+ox0lpx1955QRAGl5GRkfT555/T6NGjafHixZLB7Nu3L/m7sjVUd94rBWpsZU6cemgiamRJe35XVQ+XQAIAADDOm2OjAIKd3q6dRsdN6uEsqNT7Y5PWqrJa9umpQDyQFCJzqd1vv/0m7dSpUyklJUW6xP73v/+lihUryvKWLVt6/iwBAAAAAAAgsIJLnmPS3P3VPF7SXJSHlxcUqOqq/qbGq6qQz8nJKoMZml9O2tivVXuudaG0YZlIXQIAgO/wRjESgGCgpaCPpzKBevbliYq1ejOszs7RUTbWVddbR/vUUuXW35mCeFSd7uCSpwvxlC1bttDcuXNlnkrOgq5YsaJ4mhH2xRdfyBQjvP78+fNSMIiDW0vZ2dmSRV2+fDnl5ORQv3796K233qJq1arpOpdzzctKW36VejWcuUcFmfl/qaqxdZqfkvbEjppu3msAAADvwLQ2ANp5IqDR073U3X3qYXT8pp5usVqrwzo6N3v7ChQmH+oW6yre8jTdabg6deo4vejB04y0atWKFixY4HA9Tz8ye/Zsh/vgQkKrVq2iTz/9lDZv3kynTp2iYcOG6b1bAAAAAAAAASXTRbxV6plLTxowYIBcHLn33nulPXbsmN31GRkZ9N5778lUJL169ZJlXGSoSZMmtH37durYsaPmc4m+oLq9huapzGXN+aqb7JExav7LlC1FGcsozbsEAAAoFchgApRuxs8bBbeMvK89UZjI3e68Woocuaqk629MPpS5dBVvBVRw6S5O7+bl5VGfPn2KlzVu3Fjm3ExKStIVXIaOTZP25NHK0lbeoaLIMofVi6MAQSUAAPgZVG0E8KySqBar9X3rjUrR3uzOq2cqkuJth+g+DShlfh1cpqamytQocXFxVst5vCWvAwAAAAAACJSpSHJycuRiKSoqSi6+wK+DS08+KdkfVKLQsHAK63dFrp9tX/QEFagXR70mKOgDAAD+Dd1lAf7H2ftAa3dXPe8pT81FaXuOerY1ct7u3g8ttwu0arHeNGvWLJoxY4bVsueee46mT59Ofh1ccpfU/fv3y/+bNm1K119/PZW0hIQEys3NpfT0dKvs5enTp2Wdnicl7qa+FN+vH4X+parGUqR1DeHyEWrsJQAAgL/TWv0RAMhj4w2NVlV1p1us1uBYC70BrKvlgczkxalIEhMTacqUKVbLfCVraSi4TEtLoxEjRtCmTZuKAzoO7niuS54OpEqVKlRS2rZtSxEREbR+/XoaPny4LDt48CAlJydTp06ddD0prRcu8vr5AgAAAAAAGOVLXWA9ElxOnDiRLl26RH/88YdUZWX79u2jUaNG0aOPPkofffSR5n1dvnyZDh8+bDWH5p49eyg+Pl6K8vDclhwo8vQi5sCRcVaSL7GxsTRu3DgJFPk2MTExcn4cWDor5mPvSam3poD7wFJ2JVUl9sJ1YdLmFiVE952sbmzuFgAAAD+BbrMQTIxkF20zgGbuVHB19/ztnYezbYxWuXV1n7VWifVGISJf40vVYl3FW6UeXK5Zs4bWrVtXHFiau8Xy3Cl9+/bVta9du3ZJxtPMnE3kQHXJkiX01Vdf0ZgxY4rXc8bUtl/xvHnzKDQ0VDKXPI6yX79+9NZbb+m9WwAAAAAAAAEVXO5yEW+VenBZWFgoXVFt8TJep0ePHj3I5KRT8ujRo+XiTHR0tAS27k4MevTWSGmrb1HnU/2mv6U9cUGlLnMuq/XIXAIAQKALpgwDBC972UajWXs9U5G4GkPpifea1l4IRqZQ0Tsdi6Njajk/cJ+reKvUg8tevXrRY489Jt1fa9SoIctOnjxJkydPpt69e5O/Cs1RvzCc6q6u151VTdqw9iqorFBUXDa7UimdIAAAQAnDl0AI9h9RtFZX1Vqkxx6tXXC1FAvyZAVXR9u4CkiDsYCPLRMFL92JuDfffJMuXrxIdevWpQYNGsilXr16smz+/PneOUsAAAAAAADwabozl7Vq1aKff/5Zxl0eOHBAlvH4yz59+pA/M9XKlrby99HShmflS1uuq/rVJSxU/QaR/XPVUjtHAACA0oLpSyAYuCrco7UbqZbsoqspSBydk56MoKuMqztTqCBD6R9jLv1insuQkBC66aab5BIoyu4qI22mKgpLl2uq+S4LstQ40vyT6rqqIQsAAADeHjcG4E3OXqtaX8daq8s627ej4EzreEkt+zY6hlTLPt05FgLUwKM7uHzjjTecrufpSLTasmULzZ07l3bv3k0pKSm0YsUKGjp0qKzLy8ujp59+mr755hv666+/ZNoRzo6+/PLLxWM9GU9XwtOPrFq1qrhq7Ouvv07ly5fXe9cAAAAAAADcY6KgpTu4nDRpEtWsWZPCwsLsZjT1BJeZmZnUqlUrGjt2LA0bNsxqXVZWlnS/feaZZ2SbCxcuSCGhW265RUrqmo0cOVIC07Vr10pAylOXjB8/npYtW6brfoXmqraw6BHJrqpeFWV3qCC17bD90u7a+L8pWAAAAMAa5sqEQKyK7AvZOj3H0rqtqwJFWo/n6WJGEGTdYjm4q1rV/bGHAwYMkIs9nKnkgNG2mNANN9xAycnJMunn/v37Zd7NnTt3Urt27WQbLio0cOBAeuWVV6wynK5k1lLBZGS66iPdpr2abPQXulbanT80ljZ4e1ADAABohyAT/JHesYl6xkdqrThru703u6truV+ePC9H5xloQaUpiMdc+tW0jRkZGZIdjYtTc08mJSXJ/82BJeOus9w9dseOHaV4pgAAAAAAEIxMJu9dAjJzWRqys7Np2rRpdNddd1FMTIwsS01NvSqDGh4eTvHx8bJOj/pfZEp7+gbVDXb3wbrShqmisQAAAGAAMpgQSIwU8HG1D9vl3uiKa0trBlbLeTlaHmjZSPBicLlv3z6HwVvLli3J03gs5R133EEmk4kWLlzo9v5ycnLkYunvrtEUGh5OFf5WPwlUfr9A2pMT1RQlEdsqSJtdye3DAwAABB09X4QRiEJp0RvAaQ20nK1zNSWJoyDU2TQneu+Xnq6v+MHINVMQd4s1FFz27t1bAj0z7qrK17ktKFBBmacDy+PHj9OGDRuKs5YsISGB0tLSrLbPz8+XCrK8zpFZs2bRjBkzrJZV7tKXqt7Y36PnDgAAAAAAECx0B5dHjx6lkmIOLA8dOkQbN26kSpWs04adOnWi9PR0mcqkbdu2sowD0MLCQurQoYPD/SYmJtKUKVOslg388TkKjTxFGV+pIkCF91yStlzRLw9XIlXmEgAAALwLmRHwVXqzjvZuq/cYWrKiWrvp6p23U8tttHL2fg64rrQmZC41q1OnjscOfvnyZTp8WFVlNQeue/bskTGT1atXp9tuu02mI1m9erVkRM1dcXl9ZGQkNWnShPr370/3338/LVq0SILRCRMm0IgRI5xWio2KipKLpUvf1pY2p6K6XrChirSRPc5JG6GGZFIeYkwAAIASoaerIYA36a22ans7e9s6orXLqrMAUOuUKlrOQW/gGjABIvhfQR+e0qRnz57F183ZxFGjRtH06dPpq6++kuutW7e2uh1nMXv06CH///DDDyWg5K66XCV2+PDh9MYbb5To/QAAAAAAAGD+UNU1IINLDhAtx27acrbOjLOYy5Ytc/tcLnZQhXuqfasymoVhavnpFDXGM6xBoWoz/Wr2FgAAgICB7rLgaxlKI69FV/uy3U5LdVlX5+HqvPVkXI2+75zdDtnOwOE3U5F4W8Ut0dJeqklW3WND8lQwGX5JtSbElgAAAKUKQSZ4grOxi1q21TvG0UhlWXvr7Z2j1mlMXG3vaL0WnpiKJGC61pooaCG4BAAAAAAA8BATCvrANff8Je25N+tKW+/WA9LuXtNU2uo3npD2xI6i1CYAQClApgbgf/A+AHd4M0tm77Naa3dYR/vQ8vmvNQtqe0569umJrsGaz3+I27sEXw8uuWgOz2fpiKfnuSwp+36qJ23rx1T12hMzGkqbPUiNtTyVjj9gAFD6UD0TAMD3uTOlh9bPdXv7Nlol1lnAq3d6Ez3Buie60vokEwUt3cHlihUrvHMmAAAAAAAAEDzB5ZAh1vnpL774QuambN68Od1xxx269rVlyxaaO3cu7d69m1JSUiRwHTp0aPF6no5k+fLl9Pfff8u8lm3btqWXXnqJOnToULzN+fPnaeLEibRq1ariqUhef/11Kl++vK5ziWuq5rM8cqGStBXz1U8OEUWFfKJq50t7RddeAQC8C4VNAABKrneI3sI+WooFae1u6uwcPFUsyN7joGUOT2fn6UzAZSyLBPOYS7dqn86ePZvuuusuWrNmDY0bN45mzJih6/aZmZnUqlUrWrBggd311113Hb355pv0+++/09atW6lu3brUt29fOnPmTPE2I0eOpD/++IPWrl1Lq1evloB1/Pjx7twtAAAAAAAA0CnEpGUySQeaNm1KiYmJdO+999KGDRto7NixdOzYMUP74nGctplLWxcvXqTY2Fhat24d9e7dm/bv3y/nsHPnTmrXrp1sw4HuwIED6cSJE1SjRg3Nx2/wr1elDbuifmmIvKiWV9+WJe2lumWkPdcseH+JAAD/g4wmAIBzWqb2cHUbI+Phje5DS+ZS77hNLbczMhZUy/bObnMocTL5o7rvv+y1fR+770kK2Gqxp06doo4dO8r/uT158iR5S25uLr3zzjsSXHK2kyUlJVFcXFxxYMn69Okj3WN37NhBt956q+b911qnur1euC5C2qgBKjt66Fo14WVYTLa0oUdVkAkA4A/QbRYAwD5PVF91xJ3gzBPnYrSwj57zNtot1lkhokDrHhuM3AouuTJseLjaRVhYGBUWqsqqnsRdXUeMGEFZWVlUvXp16f5auXJlWZeamkpVq1a12p7PJz4+XtY5kpOTIxdLhYX5FBqKmVkAAAAAAMAdIRSsdEdTbdq0KZ6K5MqVKzR48GAptuNG71qnevbsKQWDzp49S++++64UDeKspG1QqcesWbOuGh/acHR7ajS2AxXOrS3XK5S9LG2d5hek/WP1ddLmVXDjzgAA+GFZfACAYKG1iI7eOSpt/6+FkQygs+PrOQc9fys82UMmYDKYJgpauoNLyzGRtpVjnY2XNKpcuXJ07bXXyoW73jZs2JDee+89GeuZkJBAaWlpVtvn5+dLBVle5wjfdsqUKVbLhgx+nbKeDafksWqezpqvqSDzVEKYtA3u+kvaA1vre/w+AgCUFG901QIACNQf3bRWcHW0vb11zo6v5xh67purbrBGugh7Y9jFVfuyDjUgEIPL5557jkoTd701d2nt1KkTpaeny1QmPE0J48JCvI3ldCW2oqKi5GIJXWIBAAAAAMBtJgpapRpRXb58mQ4fPlx8/ejRo9IFlsdMVqpUSea0vOWWW2SsJXeL5SlLuGjQ7bffLts3adKE+vfvT/fffz8tWrSI8vLyaMKECTJGU0+lWJb5pCoP26KoO+zJKipDeb5tnrSNI6zHaAIABAoU/QEAMFZF1VWW0UjXT62Fc5ydt5ZttZyjs/O03VZvl2J76yAIg8uKFSsWj7m0h7ukarVr1y4ZU2lm7qo6atQoCRYPHDhAS5culcCSg8327dvTDz/8QM2aNSu+zYcffigBJU9NwlVihw8fTm+88Ybeu0UXt6gxnJG/x0t7oa8qThSSq6YCPfxOY7VhQ927BgDwC0ZK6QMABDOtwae9dZ4+lpFtjVSgNRp4BxUTCvpo9tprr0nLBXweeughev755w0X1+nRo4fTQkBffPGFy31wlnPZsmWGjg8AAAAAAAClFFxyVtFs4sSJkimsX9//i9zkxqg2pZN6SMolq+vfPzZX2geaD5c2HQV9ACBIoLssAAQyZ59tWrN0euaN1FrQx8j5OmI0m2gv4+qqAq075+f31WFtmDDmEir/prrBho1W1WfPXionbY/Fj0sb3UpNSQIAEGy0fglB8AkA/sRZYKN1DKWeoNPTgZS9AFDrmFAjQbHefbsTzEMQB5fOxl8CAAAAAAAEFRMFLd3B5bBhw4r/n52dTQ8++KDMRalnnKQvOj8sS9oar1aStlIFNb/l2VZqfaVymdKeoIqldYoAAH47VxwAgK+xl0kricyZ3gyfkXkutZ6Do2Nq6Rardbmj/dg7j4BhCt7km+7gMjb2fy+Ce+65x62Db9myhebOnSvzVKakpNCKFSto6NChdrflIPbtt9+mefPm0aRJk6yq0/LYz1WrVhVXi3399depfPnyus6l8sdlpT12Z760Zf9UVWILotVPDwWvJ6gNOxq7rwAAgQ7l5QHA33lqrLm922kdc2l0fKeR8/bEZ7UnK9Oie2wQBpeLFy/22MEzMzOpVatWNHbsWKuMqC0OOrdv32537sqRI0dKYLp27VqZ53LMmDE0fvx4VJAFAAAAAIASF4Jusfrk5+fTpk2b6MiRI3T33XdThQoV6NSpUxQTE6MrYzhgwAC5OHPy5EnJTH733Xc0aNAgq3X79++nNWvW0M6dO6ldu3aybP78+TRw4EB65ZVX7Aajjpwfobq91l5SRtoqTx6Sdvevqjps2GOpasMdNTXvEwAgWKHSLAD4M1dZRVfba+kC6io7p2Wfttt6I/PqbsVce/u05fBxHmLo9MGfgsvjx49T//79KTk5mXJycuimm26S4HL27NlyfdGiRR47ucLCQrr33nvp8ccfp2bNml21PikpieLi4ooDS9anTx/pHrtjxw669dZbNR+rwmoVFGcXDak8M7uetBGd1NjL0+uKgsoKbt0lAICggiATAHyVJ8cA6vmMcxUsGqnwqnWcpjufwa6mInF1/4Lq899EQUsNLNThsccek2DuwoULVKaMyvIxDuTWr1/v0ZPjgDU8PJweffRRu+tTU1OpatWqVst4+/j4eFkHAAAAAAAAPpq5/OGHH2jbtm0UGRlptbxu3brShdVTuMgPF+b5+eefPT7dCWdY+WLpfMN8CgkPp/LHi451l5rXMnJjFWkL/hdHAwCATu4UeAAA8DfufLYZyQS66sarNZPpbN9675urY9g7v4Ap5GMK3mqxoUa6qhYUFFy1/MSJE9I91lM4iE1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",
+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Bicluster 0 : 204 objects, 343 features\n",
+      "Top features: Patient_ID_P100000, Patient_ID_P100002, Patient_ID_P100006, Patient_ID_P100013, Patient_ID_P100035, Patient_ID_P100056, Patient_ID_P100066, Patient_ID_P100079, Patient_ID_P100081, Patient_ID_P100091\n",
+      "\n",
+      "Bicluster 1 : 0 objects, 1 features\n",
+      "Top features: BMI\n",
+      "\n",
+      "Bicluster 2 : 97 objects, 10 features\n",
+      "Top features: Years_Smoking, Cigarettes_Per_Day, Gender_Female, Occupation_Exposure_Silica, Air_Pollution_Level_High, Family_History_No, Physical_Activity_Level_Low, Region_West, Access_to_Healthcare_Good, Lung_Cancer_Stage_Stage I\n",
+      "\n",
+      "Bicluster 3 : 0 objects, 1 features\n",
+      "Top features: Diagnosis_Year\n",
+      "\n",
+      "Bicluster 4 : 0 objects, 1 features\n",
+      "Top features: Age\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "from sklearn.preprocessing import OneHotEncoder, StandardScaler\n",
+    "from sklearn.cluster import SpectralCoclustering\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "\n",
+    "# 1. Загрузка датасета\n",
+    "df = pd.read_csv(\"Lung_Cancer_Trends_Realistic.csv\")\n",
+    "\n",
+    "# Посмотрим на структуру данных\n",
+    "print(df.head())\n",
+    "\n",
+    "# 2. Предобработка\n",
+    "# Удалим строки с пропущенными значениями\n",
+    "df_clean = df.dropna()\n",
+    "\n",
+    "# Отделим категориальные и числовые признаки\n",
+    "categorical_cols = df_clean.select_dtypes(include=[\"object\", \"category\"]).columns\n",
+    "numeric_cols = df_clean.select_dtypes(include=[\"int64\", \"float64\"]).columns\n",
+    "\n",
+    "# One-Hot Encoding для категориальных признаков\n",
+    "encoder = OneHotEncoder(sparse_output=False)\n",
+    "encoded_cat = encoder.fit_transform(df_clean[categorical_cols])\n",
+    "\n",
+    "# Масштабирование числовых признаков\n",
+    "scaler = StandardScaler()\n",
+    "scaled_num = scaler.fit_transform(df_clean[numeric_cols])\n",
+    "\n",
+    "# Объединяем\n",
+    "X = np.hstack([scaled_num, encoded_cat])\n",
+    "\n",
+    "# 3. Обучение модели\n",
+    "n_clusters = 5  # количество кластеров, можно изменить\n",
+    "model = SpectralCoclustering(n_clusters=n_clusters, random_state=42)\n",
+    "model.fit(X)\n",
+    "\n",
+    "# 4. Присвоим кластеры объектам\n",
+    "df_clean[\"Cluster\"] = model.row_labels_\n",
+    "\n",
+    "# 5. Визуализация: тепловая карта по переставленным строкам\n",
+    "fit_data = X[np.argsort(model.row_labels_)]\n",
+    "plt.figure(figsize=(12, 6))\n",
+    "sns.heatmap(fit_data, cmap=\"viridis\", cbar=True)\n",
+    "plt.title(\"Спектральное ко-кластеризованное представление данных\")\n",
+    "plt.xlabel(\"Признаки\")\n",
+    "plt.ylabel(\"Объекты (переставлены по кластеру)\")\n",
+    "plt.show()\n",
+    "\n",
+    "# 6. Вывод информации по каждому кластеру, как в примере с newsgroups\n",
+    "\n",
+    "# Получаем имена признаков (категориальные + числовые)\n",
+    "feature_names = list(numeric_cols) + list(encoder.get_feature_names_out(categorical_cols))\n",
+    "\n",
+    "for i in range(n_clusters):\n",
+    "    row_idx = np.where(model.row_labels_ == i)[0]\n",
+    "    col_idx = np.where(model.column_labels_ == i)[0]\n",
+    "\n",
+    "    # Показываем информацию о кластере\n",
+    "    print(f\"\\nBicluster {i} : {len(row_idx)} objects, {len(col_idx)} features\")\n",
+    "    \n",
+    "    # Важнейшие признаки (топ-10)\n",
+    "    top_features = [feature_names[j] for j in col_idx[:10]]\n",
+    "    print(\"Top features:\", \", \".join(top_features))\n",
+    "\n",
+    "    # Распределение категорий (если имеется колонка 'Category' или что-то похожее)\n",
+    "    if 'Category' in df_clean.columns:\n",
+    "        cluster_labels = df_clean.loc[df_clean[\"Cluster\"] == i, \"Category\"]\n",
+    "        print(f\"Category distribution for Bicluster {i}:\")\n",
+    "        print(cluster_labels.value_counts(normalize=True).head())\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "d3aca8eb-11d9-4236-9726-1be6ba5ae44d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Patient_ID</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Gender</th>\n",
+       "      <th>Smoking_Status</th>\n",
+       "      <th>Years_Smoking</th>\n",
+       "      <th>Cigarettes_Per_Day</th>\n",
+       "      <th>Secondhand_Smoke_Exposure</th>\n",
+       "      <th>Occupation_Exposure</th>\n",
+       "      <th>Air_Pollution_Level</th>\n",
+       "      <th>Family_History</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Diet_Quality</th>\n",
+       "      <th>Region</th>\n",
+       "      <th>Income_Level</th>\n",
+       "      <th>Education_Level</th>\n",
+       "      <th>Access_to_Healthcare</th>\n",
+       "      <th>Screening_Frequency</th>\n",
+       "      <th>Chronic_Lung_Disease</th>\n",
+       "      <th>Lung_Cancer_Stage</th>\n",
+       "      <th>Diagnosis_Year</th>\n",
+       "      <th>Survival_Status</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>P100000</td>\n",
+       "      <td>76</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>Never</td>\n",
+       "      <td>6</td>\n",
+       "      <td>37</td>\n",
+       "      <td>Low</td>\n",
+       "      <td>Diesel Fumes</td>\n",
+       "      <td>Low</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Poor</td>\n",
+       "      <td>West</td>\n",
+       "      <td>Middle</td>\n",
+       "      <td>Tertiary</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Regularly</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Stage II</td>\n",
+       "      <td>2008</td>\n",
+       "      <td>Alive</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>P100001</td>\n",
+       "      <td>39</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>Never</td>\n",
+       "      <td>30</td>\n",
+       "      <td>39</td>\n",
+       "      <td>Low</td>\n",
+       "      <td>Silica</td>\n",
+       "      <td>Low</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Average</td>\n",
+       "      <td>North</td>\n",
+       "      <td>Middle</td>\n",
+       "      <td>Primary</td>\n",
+       "      <td>Poor</td>\n",
+       "      <td>Occasionally</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2002</td>\n",
+       "      <td>Alive</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>P100002</td>\n",
+       "      <td>85</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>Former</td>\n",
+       "      <td>47</td>\n",
+       "      <td>14</td>\n",
+       "      <td>High</td>\n",
+       "      <td>Asbestos</td>\n",
+       "      <td>Low</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>South</td>\n",
+       "      <td>High</td>\n",
+       "      <td>Tertiary</td>\n",
+       "      <td>Average</td>\n",
+       "      <td>Regularly</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Stage II</td>\n",
+       "      <td>2007</td>\n",
+       "      <td>Deceased</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>P100003</td>\n",
+       "      <td>45</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>Current</td>\n",
+       "      <td>45</td>\n",
+       "      <td>32</td>\n",
+       "      <td>Medium</td>\n",
+       "      <td>Silica</td>\n",
+       "      <td>High</td>\n",
+       "      <td>No</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>West</td>\n",
+       "      <td>Low</td>\n",
+       "      <td>Secondary</td>\n",
+       "      <td>Average</td>\n",
+       "      <td>Never</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2011</td>\n",
+       "      <td>Alive</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>P100004</td>\n",
+       "      <td>48</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>Never</td>\n",
+       "      <td>46</td>\n",
+       "      <td>26</td>\n",
+       "      <td>Medium</td>\n",
+       "      <td>Silica</td>\n",
+       "      <td>Low</td>\n",
+       "      <td>No</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>North</td>\n",
+       "      <td>Low</td>\n",
+       "      <td>Tertiary</td>\n",
+       "      <td>Average</td>\n",
+       "      <td>Regularly</td>\n",
+       "      <td>No</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>Alive</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 24 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  Patient_ID  Age  Gender Smoking_Status  Years_Smoking  Cigarettes_Per_Day  \\\n",
+       "0    P100000   76  Female          Never              6                  37   \n",
+       "1    P100001   39    Male          Never             30                  39   \n",
+       "2    P100002   85    Male         Former             47                  14   \n",
+       "3    P100003   45  Female        Current             45                  32   \n",
+       "4    P100004   48  Female          Never             46                  26   \n",
+       "\n",
+       "  Secondhand_Smoke_Exposure Occupation_Exposure Air_Pollution_Level  \\\n",
+       "0                       Low        Diesel Fumes                 Low   \n",
+       "1                       Low              Silica                 Low   \n",
+       "2                      High            Asbestos                 Low   \n",
+       "3                    Medium              Silica                High   \n",
+       "4                    Medium              Silica                 Low   \n",
+       "\n",
+       "  Family_History  ... Diet_Quality  Region Income_Level Education_Level  \\\n",
+       "0            Yes  ...         Poor    West       Middle        Tertiary   \n",
+       "1            Yes  ...      Average   North       Middle         Primary   \n",
+       "2            Yes  ...         Good   South         High        Tertiary   \n",
+       "3             No  ...         Good    West          Low       Secondary   \n",
+       "4             No  ...         Good   North          Low        Tertiary   \n",
+       "\n",
+       "  Access_to_Healthcare Screening_Frequency Chronic_Lung_Disease  \\\n",
+       "0                 Good           Regularly                   No   \n",
+       "1                 Poor        Occasionally                  Yes   \n",
+       "2              Average           Regularly                   No   \n",
+       "3              Average               Never                  Yes   \n",
+       "4              Average           Regularly                   No   \n",
+       "\n",
+       "  Lung_Cancer_Stage Diagnosis_Year Survival_Status  \n",
+       "0          Stage II           2008           Alive  \n",
+       "1               NaN           2002           Alive  \n",
+       "2          Stage II           2007        Deceased  \n",
+       "3               NaN           2011           Alive  \n",
+       "4               NaN           2016           Alive  \n",
+       "\n",
+       "[5 rows x 24 columns]"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "from sklearn.preprocessing import OneHotEncoder, StandardScaler\n",
+    "from sklearn.cluster import SpectralCoclustering\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "\n",
+    "df = pd.read_csv(\"Lung_Cancer_Trends_Realistic.csv\")\n",
+    "\n",
+    "# Посмотрим на структуру данных\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fbaa5791-49c3-483b-8a05-fd9e9355137c",
+   "metadata": {},
+   "source": [
+    "### 2.2 Очистка данных"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "bf3c8140-269c-4a4d-8de6-96e954e3e9c5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Удалим строки с пропущенными значениями\n",
+    "df_clean = df.dropna()\n",
+    "\n",
+    "# Отделим категориальные и числовые признаки\n",
+    "categorical_cols = df_clean.select_dtypes(include=[\"object\", \"category\"]).columns\n",
+    "numeric_cols = df_clean.select_dtypes(include=[\"int64\", \"float64\"]).columns\n",
+    "\n",
+    "# One-Hot Encoding для категориальных признаков\n",
+    "encoder = OneHotEncoder(sparse_output=False)\n",
+    "encoded_cat = encoder.fit_transform(df_clean[categorical_cols])\n",
+    "\n",
+    "# Масштабирование числовых признаков\n",
+    "scaler = StandardScaler()\n",
+    "scaled_num = scaler.fit_transform(df_clean[numeric_cols])\n",
+    "\n",
+    "# Объединяем\n",
+    "X = np.hstack([scaled_num, encoded_cat])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "29b63bd0-181b-4c1f-a4c6-0b107eab164d",
+   "metadata": {},
+   "source": [
+    "### 2.3 Обучение модели"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "1de28a36-b569-4b7e-9d7e-216f58936961",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-2 {\n",
+       "  /* Definition of color scheme common for light and dark mode */\n",
+       "  --sklearn-color-text: #000;\n",
+       "  --sklearn-color-text-muted: #666;\n",
+       "  --sklearn-color-line: gray;\n",
+       "  /* Definition of color scheme for unfitted estimators */\n",
+       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
+       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
+       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
+       "  --sklearn-color-unfitted-level-3: chocolate;\n",
+       "  /* Definition of color scheme for fitted estimators */\n",
+       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
+       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
+       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
+       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
+       "\n",
+       "  /* Specific color for light theme */\n",
+       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
+       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-icon: #696969;\n",
+       "\n",
+       "  @media (prefers-color-scheme: dark) {\n",
+       "    /* Redefinition of color scheme for dark theme */\n",
+       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
+       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-icon: #878787;\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 pre {\n",
+       "  padding: 0;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 input.sk-hidden--visually {\n",
+       "  border: 0;\n",
+       "  clip: rect(1px 1px 1px 1px);\n",
+       "  clip: rect(1px, 1px, 1px, 1px);\n",
+       "  height: 1px;\n",
+       "  margin: -1px;\n",
+       "  overflow: hidden;\n",
+       "  padding: 0;\n",
+       "  position: absolute;\n",
+       "  width: 1px;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-dashed-wrapped {\n",
+       "  border: 1px dashed var(--sklearn-color-line);\n",
+       "  margin: 0 0.4em 0.5em 0.4em;\n",
+       "  box-sizing: border-box;\n",
+       "  padding-bottom: 0.4em;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-container {\n",
+       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
+       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
+       "     so we also need the `!important` here to be able to override the\n",
+       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
+       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
+       "  display: inline-block !important;\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-text-repr-fallback {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-parallel-item,\n",
+       "div.sk-serial,\n",
+       "div.sk-item {\n",
+       "  /* draw centered vertical line to link estimators */\n",
+       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
+       "  background-size: 2px 100%;\n",
+       "  background-repeat: no-repeat;\n",
+       "  background-position: center center;\n",
+       "}\n",
+       "\n",
+       "/* Parallel-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-2 div.sk-parallel-item::after {\n",
+       "  content: \"\";\n",
+       "  width: 100%;\n",
+       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
+       "  flex-grow: 1;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-parallel {\n",
+       "  display: flex;\n",
+       "  align-items: stretch;\n",
+       "  justify-content: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-parallel-item {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-parallel-item:first-child::after {\n",
+       "  align-self: flex-end;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-parallel-item:last-child::after {\n",
+       "  align-self: flex-start;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-parallel-item:only-child::after {\n",
+       "  width: 0;\n",
+       "}\n",
+       "\n",
+       "/* Serial-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-2 div.sk-serial {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "  align-items: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  padding-right: 1em;\n",
+       "  padding-left: 1em;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
+       "clickable and can be expanded/collapsed.\n",
+       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
+       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
+       "*/\n",
+       "\n",
+       "/* Pipeline and ColumnTransformer style (default) */\n",
+       "\n",
+       "#sk-container-id-2 div.sk-toggleable {\n",
+       "  /* Default theme specific background. It is overwritten whether we have a\n",
+       "  specific estimator or a Pipeline/ColumnTransformer */\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable label */\n",
+       "#sk-container-id-2 label.sk-toggleable__label {\n",
+       "  cursor: pointer;\n",
+       "  display: flex;\n",
+       "  width: 100%;\n",
+       "  margin-bottom: 0;\n",
+       "  padding: 0.5em;\n",
+       "  box-sizing: border-box;\n",
+       "  text-align: center;\n",
+       "  align-items: start;\n",
+       "  justify-content: space-between;\n",
+       "  gap: 0.5em;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 label.sk-toggleable__label .caption {\n",
+       "  font-size: 0.6rem;\n",
+       "  font-weight: lighter;\n",
+       "  color: var(--sklearn-color-text-muted);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 label.sk-toggleable__label-arrow:before {\n",
+       "  /* Arrow on the left of the label */\n",
+       "  content: \"▸\";\n",
+       "  float: left;\n",
+       "  margin-right: 0.25em;\n",
+       "  color: var(--sklearn-color-icon);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable content - dropdown */\n",
+       "\n",
+       "#sk-container-id-2 div.sk-toggleable__content {\n",
+       "  max-height: 0;\n",
+       "  max-width: 0;\n",
+       "  overflow: hidden;\n",
+       "  text-align: left;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-toggleable__content.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-toggleable__content pre {\n",
+       "  margin: 0.2em;\n",
+       "  border-radius: 0.25em;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-toggleable__content.fitted pre {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
+       "  /* Expand drop-down */\n",
+       "  max-height: 200px;\n",
+       "  max-width: 100%;\n",
+       "  overflow: auto;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
+       "  content: \"▾\";\n",
+       "}\n",
+       "\n",
+       "/* Pipeline/ColumnTransformer-specific style */\n",
+       "\n",
+       "#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific style */\n",
+       "\n",
+       "/* Colorize estimator box */\n",
+       "#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-label label.sk-toggleable__label,\n",
+       "#sk-container-id-2 div.sk-label label {\n",
+       "  /* The background is the default theme color */\n",
+       "  color: var(--sklearn-color-text-on-default-background);\n",
+       "}\n",
+       "\n",
+       "/* On hover, darken the color of the background */\n",
+       "#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Label box, darken color on hover, fitted */\n",
+       "#sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator label */\n",
+       "\n",
+       "#sk-container-id-2 div.sk-label label {\n",
+       "  font-family: monospace;\n",
+       "  font-weight: bold;\n",
+       "  display: inline-block;\n",
+       "  line-height: 1.2em;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-label-container {\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific */\n",
+       "#sk-container-id-2 div.sk-estimator {\n",
+       "  font-family: monospace;\n",
+       "  border: 1px dotted var(--sklearn-color-border-box);\n",
+       "  border-radius: 0.25em;\n",
+       "  box-sizing: border-box;\n",
+       "  margin-bottom: 0.5em;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-estimator.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "/* on hover */\n",
+       "#sk-container-id-2 div.sk-estimator:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-estimator.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
+       "\n",
+       "/* Common style for \"i\" and \"?\" */\n",
+       "\n",
+       ".sk-estimator-doc-link,\n",
+       "a:link.sk-estimator-doc-link,\n",
+       "a:visited.sk-estimator-doc-link {\n",
+       "  float: right;\n",
+       "  font-size: smaller;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1em;\n",
+       "  height: 1em;\n",
+       "  width: 1em;\n",
+       "  text-decoration: none !important;\n",
+       "  margin-left: 0.5em;\n",
+       "  text-align: center;\n",
+       "  /* unfitted */\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted,\n",
+       "a:link.sk-estimator-doc-link.fitted,\n",
+       "a:visited.sk-estimator-doc-link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "/* Span, style for the box shown on hovering the info icon */\n",
+       ".sk-estimator-doc-link span {\n",
+       "  display: none;\n",
+       "  z-index: 9999;\n",
+       "  position: relative;\n",
+       "  font-weight: normal;\n",
+       "  right: .2ex;\n",
+       "  padding: .5ex;\n",
+       "  margin: .5ex;\n",
+       "  width: min-content;\n",
+       "  min-width: 20ex;\n",
+       "  max-width: 50ex;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  box-shadow: 2pt 2pt 4pt #999;\n",
+       "  /* unfitted */\n",
+       "  background: var(--sklearn-color-unfitted-level-0);\n",
+       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted span {\n",
+       "  /* fitted */\n",
+       "  background: var(--sklearn-color-fitted-level-0);\n",
+       "  border: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link:hover span {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
+       "\n",
+       "#sk-container-id-2 a.estimator_doc_link {\n",
+       "  float: right;\n",
+       "  font-size: 1rem;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1rem;\n",
+       "  height: 1rem;\n",
+       "  width: 1rem;\n",
+       "  text-decoration: none;\n",
+       "  /* unfitted */\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 a.estimator_doc_link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "#sk-container-id-2 a.estimator_doc_link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 a.estimator_doc_link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>SpectralCoclustering(n_clusters=5, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>SpectralCoclustering</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.cluster.SpectralCoclustering.html\">?<span>Documentation for SpectralCoclustering</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>SpectralCoclustering(n_clusters=5, random_state=42)</pre></div> </div></div></div></div>"
+      ],
+      "text/plain": [
+       "SpectralCoclustering(n_clusters=5, random_state=42)"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "n_clusters = 5  # количество кластеров, можно изменить\n",
+    "model = SpectralCoclustering(n_clusters=n_clusters, random_state=42)\n",
+    "model.fit(X)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0dcc3335-3a64-448c-8c7a-7144974f52ca",
+   "metadata": {},
+   "source": [
+    "### 2.4 Присвоение кластеров"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "60a41ec0-ddfb-4a3f-818e-06f7a5dcda0f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\user\\AppData\\Local\\Temp\\ipykernel_8300\\3849030686.py:1: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  df_clean[\"Cluster\"] = model.row_labels_\n"
+     ]
+    }
+   ],
+   "source": [
+    "df_clean[\"Cluster\"] = model.row_labels_"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "72e8393e-f745-4b5e-9b6d-a5a31b317e1e",
+   "metadata": {},
+   "source": [
+    "### 2.5 Визуализация результатов"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "696afb4c-e7a9-4182-8fef-4d97f03a49f6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fit_data = X[np.argsort(model.row_labels_)]\n",
+    "plt.figure(figsize=(12, 6))\n",
+    "sns.heatmap(fit_data, cmap=\"viridis\", cbar=True)\n",
+    "plt.title(\"Спектральное ко-кластеризованное представление данных\")\n",
+    "plt.xlabel(\"Признаки\")\n",
+    "plt.ylabel(\"Объекты (переставлены по кластеру)\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "01e38c78-7641-4390-88c6-6a9a69d3ec46",
+   "metadata": {},
+   "source": [
+    "### 2.6 Вывод информации о кластерах"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "a378a466-7641-4d5f-bc12-810a754165ce",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Bicluster 0 : 204 objects, 343 features\n",
+      "Top features: Patient_ID_P100000, Patient_ID_P100002, Patient_ID_P100006, Patient_ID_P100013, Patient_ID_P100035, Patient_ID_P100056, Patient_ID_P100066, Patient_ID_P100079, Patient_ID_P100081, Patient_ID_P100091\n",
+      "\n",
+      "Bicluster 1 : 0 objects, 1 features\n",
+      "Top features: BMI\n",
+      "\n",
+      "Bicluster 2 : 97 objects, 10 features\n",
+      "Top features: Years_Smoking, Cigarettes_Per_Day, Gender_Female, Occupation_Exposure_Silica, Air_Pollution_Level_High, Family_History_No, Physical_Activity_Level_Low, Region_West, Access_to_Healthcare_Good, Lung_Cancer_Stage_Stage I\n",
+      "\n",
+      "Bicluster 3 : 0 objects, 1 features\n",
+      "Top features: Diagnosis_Year\n",
+      "\n",
+      "Bicluster 4 : 0 objects, 1 features\n",
+      "Top features: Age\n"
+     ]
+    }
+   ],
+   "source": [
+    "feature_names = list(numeric_cols) + list(encoder.get_feature_names_out(categorical_cols))\n",
+    "\n",
+    "for i in range(n_clusters):\n",
+    "    row_idx = np.where(model.row_labels_ == i)[0]\n",
+    "    col_idx = np.where(model.column_labels_ == i)[0]\n",
+    "\n",
+    "    # Показываем информацию о кластере\n",
+    "    print(f\"\\nBicluster {i} : {len(row_idx)} objects, {len(col_idx)} features\")\n",
+    "    \n",
+    "    # Важнейшие признаки (топ-10)\n",
+    "    top_features = [feature_names[j] for j in col_idx[:10]]\n",
+    "    print(\"Top features:\", \", \".join(top_features))\n",
+    "\n",
+    "    # Распределение категорий (если имеется колонка 'Category' или что-то похожее)\n",
+    "    if 'Category' in df_clean.columns:\n",
+    "        cluster_labels = df_clean.loc[df_clean[\"Cluster\"] == i, \"Category\"]\n",
+    "        print(f\"Category distribution for Bicluster {i}:\")\n",
+    "        print(cluster_labels.value_counts(normalize=True).head())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cbf8dd70-eddc-456d-8a2d-97482264c234",
+   "metadata": {},
+   "source": [
+    "## Интерпретация результатов\n",
+    "\n",
+    "1. **На встроенном датасете (20 newsgroups):**\n",
+    "   - Spectral Co-clustering показал лучшие результаты (V-measure=0.4415) по сравнению с MiniBatchKMeans (V-measure=0.3015)\n",
+    "   - Алгоритм смог найти осмысленные бикластеры, объединяющие документы по темам и характерные для них слова\n",
+    "\n",
+    "2. **На внешнем датасете:**\n",
+    "   - Алгоритм Spectral Co-clustering выделил группы пациентов и признаки, которые часто встречаются вместе. Например, один кластер может соответствовать группе людей с высоким уровнем курения и одновременно низкой физической активностью.\n",
+    "\n",
+    "    - Выделенные бикластеры помогают выявить взаимосвязи между определёнными признаками риска и группами наблюдений.\n",
+    "\n",
+    "    - Однако, интерпретация результатов требует медицинского контекста — значения кластеров следует сопоставлять с экспертными знаниями о факторах риска (например, влияние курения, алкоголя, активности и других переменных на здоровье).\n",
+    "\n",
+    "3. **Выводы**\n",
+    "    - Spectral Co-clustering эффективен для задач совместной кластеризации строк и столбцов матрицы данных\n",
+    "    - Особенно полезен для текстовых данных, где можно одновременно кластеризовать документы и слова\n",
+    "    - Требует настройки параметров (количество кластеров, метод SVD) для оптимальной работы"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}