From 4198219932eb4f6fb17a1a21294b6de350b8ff14 Mon Sep 17 00:00:00 2001
From: stud203998 <asdfasdf@gmail.com>
Date: Wed, 15 Apr 2026 17:00:31 +0300
Subject: [PATCH] Last version

---
 .gitignore           |    1 +
 Iris.csv             |  151 ++++++
 week2_analysis.ipynb | 1163 ++++++++++++++++++++++++++++++++++++++++++
 3 files changed, 1315 insertions(+)
 create mode 100644 Iris.csv
 create mode 100644 week2_analysis.ipynb

diff --git a/.gitignore b/.gitignore
index f7275bb..e84e43b 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1 +1,2 @@
 venv/
+*.ipynb_checkpoints/
diff --git a/Iris.csv b/Iris.csv
new file mode 100644
index 0000000..1bf42f2
--- /dev/null
+++ b/Iris.csv
@@ -0,0 +1,151 @@
+Id,SepalLengthCm,SepalWidthCm,PetalLengthCm,PetalWidthCm,Species
+1,5.1,3.5,1.4,0.2,Iris-setosa
+2,4.9,3.0,1.4,0.2,Iris-setosa
+3,4.7,3.2,1.3,0.2,Iris-setosa
+4,4.6,3.1,1.5,0.2,Iris-setosa
+5,5.0,3.6,1.4,0.2,Iris-setosa
+6,5.4,3.9,1.7,0.4,Iris-setosa
+7,4.6,3.4,1.4,0.3,Iris-setosa
+8,5.0,3.4,1.5,0.2,Iris-setosa
+9,4.4,2.9,1.4,0.2,Iris-setosa
+10,4.9,3.1,1.5,0.1,Iris-setosa
+11,5.4,3.7,1.5,0.2,Iris-setosa
+12,4.8,3.4,1.6,0.2,Iris-setosa
+13,4.8,3.0,1.4,0.1,Iris-setosa
+14,4.3,3.0,1.1,0.1,Iris-setosa
+15,5.8,4.0,1.2,0.2,Iris-setosa
+16,5.7,4.4,1.5,0.4,Iris-setosa
+17,5.4,3.9,1.3,0.4,Iris-setosa
+18,5.1,3.5,1.4,0.3,Iris-setosa
+19,5.7,3.8,1.7,0.3,Iris-setosa
+20,5.1,3.8,1.5,0.3,Iris-setosa
+21,5.4,3.4,1.7,0.2,Iris-setosa
+22,5.1,3.7,1.5,0.4,Iris-setosa
+23,4.6,3.6,1.0,0.2,Iris-setosa
+24,5.1,3.3,1.7,0.5,Iris-setosa
+25,4.8,3.4,1.9,0.2,Iris-setosa
+26,5.0,3.0,1.6,0.2,Iris-setosa
+27,5.0,3.4,1.6,0.4,Iris-setosa
+28,5.2,3.5,1.5,0.2,Iris-setosa
+29,5.2,3.4,1.4,0.2,Iris-setosa
+30,4.7,3.2,1.6,0.2,Iris-setosa
+31,4.8,3.1,1.6,0.2,Iris-setosa
+32,5.4,3.4,1.5,0.4,Iris-setosa
+33,5.2,4.1,1.5,0.1,Iris-setosa
+34,5.5,4.2,1.4,0.2,Iris-setosa
+35,4.9,3.1,1.5,0.1,Iris-setosa
+36,5.0,3.2,1.2,0.2,Iris-setosa
+37,5.5,3.5,1.3,0.2,Iris-setosa
+38,4.9,3.1,1.5,0.1,Iris-setosa
+39,4.4,3.0,1.3,0.2,Iris-setosa
+40,5.1,3.4,1.5,0.2,Iris-setosa
+41,5.0,3.5,1.3,0.3,Iris-setosa
+42,4.5,2.3,1.3,0.3,Iris-setosa
+43,4.4,3.2,1.3,0.2,Iris-setosa
+44,5.0,3.5,1.6,0.6,Iris-setosa
+45,5.1,3.8,1.9,0.4,Iris-setosa
+46,4.8,3.0,1.4,0.3,Iris-setosa
+47,5.1,3.8,1.6,0.2,Iris-setosa
+48,4.6,3.2,1.4,0.2,Iris-setosa
+49,5.3,3.7,1.5,0.2,Iris-setosa
+50,5.0,3.3,1.4,0.2,Iris-setosa
+51,7.0,3.2,4.7,1.4,Iris-versicolor
+52,6.4,3.2,4.5,1.5,Iris-versicolor
+53,6.9,3.1,4.9,1.5,Iris-versicolor
+54,5.5,2.3,4.0,1.3,Iris-versicolor
+55,6.5,2.8,4.6,1.5,Iris-versicolor
+56,5.7,2.8,4.5,1.3,Iris-versicolor
+57,6.3,3.3,4.7,1.6,Iris-versicolor
+58,4.9,2.4,3.3,1.0,Iris-versicolor
+59,6.6,2.9,4.6,1.3,Iris-versicolor
+60,5.2,2.7,3.9,1.4,Iris-versicolor
+61,5.0,2.0,3.5,1.0,Iris-versicolor
+62,5.9,3.0,4.2,1.5,Iris-versicolor
+63,6.0,2.2,4.0,1.0,Iris-versicolor
+64,6.1,2.9,4.7,1.4,Iris-versicolor
+65,5.6,2.9,3.6,1.3,Iris-versicolor
+66,6.7,3.1,4.4,1.4,Iris-versicolor
+67,5.6,3.0,4.5,1.5,Iris-versicolor
+68,5.8,2.7,4.1,1.0,Iris-versicolor
+69,6.2,2.2,4.5,1.5,Iris-versicolor
+70,5.6,2.5,3.9,1.1,Iris-versicolor
+71,5.9,3.2,4.8,1.8,Iris-versicolor
+72,6.1,2.8,4.0,1.3,Iris-versicolor
+73,6.3,2.5,4.9,1.5,Iris-versicolor
+74,6.1,2.8,4.7,1.2,Iris-versicolor
+75,6.4,2.9,4.3,1.3,Iris-versicolor
+76,6.6,3.0,4.4,1.4,Iris-versicolor
+77,6.8,2.8,4.8,1.4,Iris-versicolor
+78,6.7,3.0,5.0,1.7,Iris-versicolor
+79,6.0,2.9,4.5,1.5,Iris-versicolor
+80,5.7,2.6,3.5,1.0,Iris-versicolor
+81,5.5,2.4,3.8,1.1,Iris-versicolor
+82,5.5,2.4,3.7,1.0,Iris-versicolor
+83,5.8,2.7,3.9,1.2,Iris-versicolor
+84,6.0,2.7,5.1,1.6,Iris-versicolor
+85,5.4,3.0,4.5,1.5,Iris-versicolor
+86,6.0,3.4,4.5,1.6,Iris-versicolor
+87,6.7,3.1,4.7,1.5,Iris-versicolor
+88,6.3,2.3,4.4,1.3,Iris-versicolor
+89,5.6,3.0,4.1,1.3,Iris-versicolor
+90,5.5,2.5,4.0,1.3,Iris-versicolor
+91,5.5,2.6,4.4,1.2,Iris-versicolor
+92,6.1,3.0,4.6,1.4,Iris-versicolor
+93,5.8,2.6,4.0,1.2,Iris-versicolor
+94,5.0,2.3,3.3,1.0,Iris-versicolor
+95,5.6,2.7,4.2,1.3,Iris-versicolor
+96,5.7,3.0,4.2,1.2,Iris-versicolor
+97,5.7,2.9,4.2,1.3,Iris-versicolor
+98,6.2,2.9,4.3,1.3,Iris-versicolor
+99,5.1,2.5,3.0,1.1,Iris-versicolor
+100,5.7,2.8,4.1,1.3,Iris-versicolor
+101,6.3,3.3,6.0,2.5,Iris-virginica
+102,5.8,2.7,5.1,1.9,Iris-virginica
+103,7.1,3.0,5.9,2.1,Iris-virginica
+104,6.3,2.9,5.6,1.8,Iris-virginica
+105,6.5,3.0,5.8,2.2,Iris-virginica
+106,7.6,3.0,6.6,2.1,Iris-virginica
+107,4.9,2.5,4.5,1.7,Iris-virginica
+108,7.3,2.9,6.3,1.8,Iris-virginica
+109,6.7,2.5,5.8,1.8,Iris-virginica
+110,7.2,3.6,6.1,2.5,Iris-virginica
+111,6.5,3.2,5.1,2.0,Iris-virginica
+112,6.4,2.7,5.3,1.9,Iris-virginica
+113,6.8,3.0,5.5,2.1,Iris-virginica
+114,5.7,2.5,5.0,2.0,Iris-virginica
+115,5.8,2.8,5.1,2.4,Iris-virginica
+116,6.4,3.2,5.3,2.3,Iris-virginica
+117,6.5,3.0,5.5,1.8,Iris-virginica
+118,7.7,3.8,6.7,2.2,Iris-virginica
+119,7.7,2.6,6.9,2.3,Iris-virginica
+120,6.0,2.2,5.0,1.5,Iris-virginica
+121,6.9,3.2,5.7,2.3,Iris-virginica
+122,5.6,2.8,4.9,2.0,Iris-virginica
+123,7.7,2.8,6.7,2.0,Iris-virginica
+124,6.3,2.7,4.9,1.8,Iris-virginica
+125,6.7,3.3,5.7,2.1,Iris-virginica
+126,7.2,3.2,6.0,1.8,Iris-virginica
+127,6.2,2.8,4.8,1.8,Iris-virginica
+128,6.1,3.0,4.9,1.8,Iris-virginica
+129,6.4,2.8,5.6,2.1,Iris-virginica
+130,7.2,3.0,5.8,1.6,Iris-virginica
+131,7.4,2.8,6.1,1.9,Iris-virginica
+132,7.9,3.8,6.4,2.0,Iris-virginica
+133,6.4,2.8,5.6,2.2,Iris-virginica
+134,6.3,2.8,5.1,1.5,Iris-virginica
+135,6.1,2.6,5.6,1.4,Iris-virginica
+136,7.7,3.0,6.1,2.3,Iris-virginica
+137,6.3,3.4,5.6,2.4,Iris-virginica
+138,6.4,3.1,5.5,1.8,Iris-virginica
+139,6.0,3.0,4.8,1.8,Iris-virginica
+140,6.9,3.1,5.4,2.1,Iris-virginica
+141,6.7,3.1,5.6,2.4,Iris-virginica
+142,6.9,3.1,5.1,2.3,Iris-virginica
+143,5.8,2.7,5.1,1.9,Iris-virginica
+144,6.8,3.2,5.9,2.3,Iris-virginica
+145,6.7,3.3,5.7,2.5,Iris-virginica
+146,6.7,3.0,5.2,2.3,Iris-virginica
+147,6.3,2.5,5.0,1.9,Iris-virginica
+148,6.5,3.0,5.2,2.0,Iris-virginica
+149,6.2,3.4,5.4,2.3,Iris-virginica
+150,5.9,3.0,5.1,1.8,Iris-virginica
diff --git a/week2_analysis.ipynb b/week2_analysis.ipynb
new file mode 100644
index 0000000..3bb1c90
--- /dev/null
+++ b/week2_analysis.ipynb
@@ -0,0 +1,1163 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Первый взгляд на данные:\n",
+      "      Имя  Возраст  Баллы\n",
+      "0    Анна       21     89\n",
+      "1   Борис       22     76\n",
+      "2  Виктор       23     95\n",
+      "3  Галина       24     82\n",
+      "<class 'pandas.DataFrame'>\n",
+      "RangeIndex: 4 entries, 0 to 3\n",
+      "Data columns (total 3 columns):\n",
+      " #   Column   Non-Null Count  Dtype\n",
+      "---  ------   --------------  -----\n",
+      " 0   Имя      4 non-null      str  \n",
+      " 1   Возраст  4 non-null      int64\n",
+      " 2   Баллы    4 non-null      int64\n",
+      "dtypes: int64(2), str(1)\n",
+      "memory usage: 228.0 bytes\n",
+      "None\n",
+      "         Возраст      Баллы\n",
+      "count   4.000000   4.000000\n",
+      "mean   22.500000  85.500000\n",
+      "std     1.290994   8.266398\n",
+      "min    21.000000  76.000000\n",
+      "25%    21.750000  80.500000\n",
+      "50%    22.500000  85.500000\n",
+      "75%    23.250000  90.500000\n",
+      "max    24.000000  95.000000\n",
+      "Пропущенные значения:\n",
+      " Имя        0\n",
+      "Возраст    0\n",
+      "Баллы      0\n",
+      "dtype: int64\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "data = {\n",
+    "    \"Имя\": [\"Анна\", \"Борис\", \"Виктор\", \"Галина\"],\n",
+    "    \"Возраст\": [21, 22, 23, 24],\n",
+    "    \"Баллы\": [89, 76, 95, 82]\n",
+    "}\n",
+    "df = pd.DataFrame(data)\n",
+    "\n",
+    "print(\"Первый взгляд на данные:\")\n",
+    "print(df.head())\n",
+    "print(df.info())\n",
+    "print(df.describe())\n",
+    "print(\"Пропущенные значения:\\n\", df.isnull().sum())\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "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>Имя</th>\n",
+       "      <th>Возраст</th>\n",
+       "      <th>Баллы</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Анна</td>\n",
+       "      <td>21</td>\n",
+       "      <td>89</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Борис</td>\n",
+       "      <td>22</td>\n",
+       "      <td>76</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Виктор</td>\n",
+       "      <td>23</td>\n",
+       "      <td>95</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Галина</td>\n",
+       "      <td>24</td>\n",
+       "      <td>82</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      Имя  Возраст  Баллы\n",
+       "0    Анна       21     89\n",
+       "1   Борис       22     76\n",
+       "2  Виктор       23     95\n",
+       "3  Галина       24     82"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "data = {\n",
+    "    \"Имя\": [\"Анна\", \"Борис\", \"Виктор\", \"Галина\"],\n",
+    "    \"Возраст\": [21, 22, 23, 24],\n",
+    "    \"Баллы\": [89, 76, 95, 82]\n",
+    "}\n",
+    "df = pd.DataFrame(data)\n",
+    "\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "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>Имя</th>\n",
+       "      <th>Возраст</th>\n",
+       "      <th>Баллы</th>\n",
+       "      <th>Баллы_бонус</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Анна</td>\n",
+       "      <td>21</td>\n",
+       "      <td>89</td>\n",
+       "      <td>97.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Борис</td>\n",
+       "      <td>22</td>\n",
+       "      <td>76</td>\n",
+       "      <td>83.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Виктор</td>\n",
+       "      <td>23</td>\n",
+       "      <td>95</td>\n",
+       "      <td>104.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Галина</td>\n",
+       "      <td>24</td>\n",
+       "      <td>82</td>\n",
+       "      <td>90.2</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      Имя  Возраст  Баллы  Баллы_бонус\n",
+       "0    Анна       21     89         97.9\n",
+       "1   Борис       22     76         83.6\n",
+       "2  Виктор       23     95        104.5\n",
+       "3  Галина       24     82         90.2"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "np.random.seed(42)\n",
+    "df[\"Категория\"] = np.random.choice([\"A\", \"B\", \"C\"], size=len(df))\n",
+    "\n",
+    "data = {\n",
+    "    \"Имя\": [\"Анна\", \"Борис\", \"Виктор\", \"Галина\"],\n",
+    "    \"Возраст\": [21, 22, 23, 24],\n",
+    "    \"Баллы\": [89, 76, 95, 82]\n",
+    "}\n",
+    "df = pd.DataFrame(data)\n",
+    "df[\"Баллы_бонус\"] = df[\"Баллы\"] * 1.1\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "DataFrame с категорией:\n",
+      "      Имя  Возраст  Баллы Категория\n",
+      "0    Анна       21     89         C\n",
+      "1   Борис       22     76         A\n",
+      "2  Виктор       23     95         C\n",
+      "3  Галина       24     82         C\n"
+     ]
+    },
+    {
+     "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>Средний_балл</th>\n",
+       "      <th>Макс_балл</th>\n",
+       "      <th>Средний_возраст</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Категория</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>A</th>\n",
+       "      <td>76.000000</td>\n",
+       "      <td>76</td>\n",
+       "      <td>22.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>C</th>\n",
+       "      <td>88.666667</td>\n",
+       "      <td>95</td>\n",
+       "      <td>22.666667</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           Средний_балл  Макс_балл  Средний_возраст\n",
+       "Категория                                          \n",
+       "A             76.000000         76        22.000000\n",
+       "C             88.666667         95        22.666667"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "np.random.seed(42)\n",
+    "data = {\n",
+    "    \"Имя\": [\"Анна\", \"Борис\", \"Виктор\", \"Галина\"],\n",
+    "    \"Возраст\": [21, 22, 23, 24],\n",
+    "    \"Баллы\": [89, 76, 95, 82]\n",
+    "}\n",
+    "df = pd.DataFrame(data)\n",
+    "\n",
+    "df[\"Категория\"] = np.random.choice([\"A\", \"B\", \"C\"], size=len(df))\n",
+    "print(\"DataFrame с категорией:\")\n",
+    "print(df)\n",
+    "grouped = df.groupby(\"Категория\").agg({\n",
+    "    \"Баллы\": [\"mean\", \"max\"], \n",
+    "    \"Возраст\": \"mean\"          \n",
+    "})\n",
+    "\n",
+    "grouped.columns = [\"_\".join(col).strip() for col in grouped.columns.values]\n",
+    "\n",
+    "grouped.rename(columns={\n",
+    "    \"Баллы_mean\": \"Средний_балл\",\n",
+    "    \"Баллы_max\": \"Макс_балл\",\n",
+    "    \"Возраст_mean\": \"Средний_возраст\"\n",
+    "}, inplace=True)\n",
+    "\n",
+    "grouped"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Студенты старше 21 года:\n"
+     ]
+    },
+    {
+     "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>Имя</th>\n",
+       "      <th>Возраст</th>\n",
+       "      <th>Баллы</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Борис</td>\n",
+       "      <td>22</td>\n",
+       "      <td>76</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Виктор</td>\n",
+       "      <td>23</td>\n",
+       "      <td>95</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Галина</td>\n",
+       "      <td>24</td>\n",
+       "      <td>82</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      Имя  Возраст  Баллы\n",
+       "1   Борис       22     76\n",
+       "2  Виктор       23     95\n",
+       "3  Галина       24     82"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "data = {\n",
+    "    \"Имя\": [\"Анна\", \"Борис\", \"Виктор\", \"Галина\"],\n",
+    "    \"Возраст\": [21, 22, 23, 24],\n",
+    "    \"Баллы\": [89, 76, 95, 82]\n",
+    "}\n",
+    "df = pd.DataFrame(data)\n",
+    "\n",
+    "df_filtered = df[df[\"Возраст\"] > 21]\n",
+    "\n",
+    "print(\"Студенты старше 21 года:\")\n",
+    "df_filtered"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Сумма элементов массива: 15\n",
+      "Среднее значение: 3.0\n",
+      "Медиана: 3.0\n",
+      "Стандартное отклонение: 1.4142135623730951\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "arr = np.array([1, 2, 3, 4, 5])\n",
+    "print(\"Сумма элементов массива:\", np.sum(arr))\n",
+    "print(\"Среднее значение:\", np.mean(arr))\n",
+    "print(\"Медиана:\", np.median(arr))\n",
+    "print(\"Стандартное отклонение:\", np.std(arr))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Матрица 2x2:\n",
+      "[[1 2]\n",
+      " [3 4]]\n",
+      "Форма массива: (2, 2)\n",
+      "Транспонированная матрица:\n",
+      "[[1 3]\n",
+      " [2 4]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "matrix = np.array([[1, 2],\n",
+    "                   [3, 4]])\n",
+    "\n",
+    "print(\"Матрица 2x2:\")\n",
+    "print(matrix)\n",
+    "print(\"Форма массива:\", matrix.shape)\n",
+    "print(\"Транспонированная матрица:\")\n",
+    "print(matrix.T)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "10 равномерных точек от 0 до 2π:\n",
+      "[0.         0.6981317  1.3962634  2.0943951  2.7925268  3.4906585\n",
+      " 4.1887902  4.88692191 5.58505361 6.28318531]\n",
+      "Синусы в этих точках:\n",
+      "[ 0.00000000e+00  6.42787610e-01  9.84807753e-01  8.66025404e-01\n",
+      "  3.42020143e-01 -3.42020143e-01 -8.66025404e-01 -9.84807753e-01\n",
+      " -6.42787610e-01 -2.44929360e-16]\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "x = np.linspace(0, 2 * np.pi, 10)\n",
+    "print(\"10 равномерных точек от 0 до 2π:\")\n",
+    "print(x)\n",
+    "\n",
+    "y = np.sin(x)\n",
+    "print(\"Синусы в этих точках:\")\n",
+    "print(y)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Первые 10 случайных чисел:\n",
+      "[-1.0856306   0.99734545  0.2829785  -1.50629471 -0.57860025  1.65143654\n",
+      " -2.42667924 -0.42891263  1.26593626 -0.8667404 ]\n",
+      "\n",
+      "Среднее арифметическое выборки: 0.027109073490359778\n",
+      "Стандартное отклонение выборки: 1.128240470477961\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "np.random.seed(123)\n",
+    "\n",
+    "random_samples = np.random.randn(100)\n",
+    "\n",
+    "print(\"Первые 10 случайных чисел:\")\n",
+    "print(random_samples[:10])\n",
+    "print(\"\\nСреднее арифметическое выборки:\", np.mean(random_samples))\n",
+    "print(\"Стандартное отклонение выборки:\", np.std(random_samples))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Вектор a: [1 2 3]\n",
+      "Вектор b: [4 5 6]\n",
+      "Скалярное произведение a·b = 32\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "a = np.array([1, 2, 3])\n",
+    "b = np.array([4, 5, 6])\n",
+    "\n",
+    "dot_product = np.dot(a, b)\n",
+    "print(\"Вектор a:\", a)\n",
+    "print(\"Вектор b:\", b)\n",
+    "print(\"Скалярное произведение a·b =\", dot_product)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "x = np.linspace(0, 10, 100)\n",
+    "y = np.sin(x)\n",
+    "\n",
+    "plt.plot(x, y, label='sin(x)')\n",
+    "plt.xlabel(\"X\")\n",
+    "plt.ylabel(\"Y\")\n",
+    "plt.title(\"График синуса\")\n",
+    "plt.legend()\n",
+    "plt.grid()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "x = np.linspace(0, 10, 100)\n",
+    "y = np.sin(x)\n",
+    "\n",
+    "plt.figure(figsize=(10, 5))\n",
+    "plt.plot(x, np.sin(x), label='sin(x)', linestyle='--', linewidth=2)\n",
+    "plt.plot(x, np.cos(x), label='cos(x)', linestyle='-.', color='green')\n",
+    "plt.xlabel(\"X\")\n",
+    "plt.ylabel(\"Y\")\n",
+    "plt.title(\"Синус и косинус\")\n",
+    "plt.legend()\n",
+    "plt.grid(True, alpha=0.3)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "x = np.linspace(0, 10, 100)\n",
+    "y = np.sin(x)\n",
+    "\n",
+    "names = df[\"Имя\"]\n",
+    "scores = df[\"Баллы\"]\n",
+    "plt.bar(names, scores, color='skyblue')\n",
+    "plt.title(\"Баллы студентов\")\n",
+    "plt.show()\n",
+    "\n",
+    "plt.scatter(df[\"Возраст\"], df[\"Баллы\"])\n",
+    "plt.xlabel(\"Возраст\")\n",
+    "plt.ylabel(\"Баллы\")\n",
+    "plt.title(\"Зависимость баллов от возраста\")\n",
+    "plt.show()\n",
+    "\n",
+    "plt.hist(df[\"Баллы\"], bins=5, edgecolor='black')\n",
+    "plt.title(\"Распределение баллов\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import seaborn as sns\n",
+    "\n",
+    "df[\"Категория\"] = [\"A\", \"B\", \"A\", \"B\"]\n",
+    "sns.boxplot(x=\"Категория\", y=\"Баллы\", data=df)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import seaborn as sns\n",
+    "\n",
+    "sns.histplot(df[\"Баллы\"], kde=True, bins=6)\n",
+    "plt.title(\"Гистограмма баллов с KDE\")\n",
+    "plt.show()\n",
+    "\n",
+    "df[\"Оценка_буква\"] = df[\"Баллы\"].apply(lambda x: 'A' if x>=90 else ('B' if x>=80 else 'C'))\n",
+    "sns.scatterplot(data=df, x=\"Возраст\", y=\"Баллы\", hue=\"Категория\", style=\"Оценка_буква\", s=100)\n",
+    "plt.title(\"Баллы vs Возраст с категориями\")\n",
+    "plt.show()\n",
+    "\n",
+    "corr_data = np.random.rand(5,5)\n",
+    "corr_df = pd.DataFrame(corr_data, columns=list(\"ABCDE\"))\n",
+    "sns.heatmap(corr_df.corr(), annot=True, cmap=\"coolwarm\")\n",
+    "plt.title(\"Пример тепловой карты корреляции\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Итерация: 100%|██████████| 100/100 [00:01<00:00, 91.56it/s]\n"
+     ]
+    }
+   ],
+   "source": [
+    "from tqdm import tqdm\n",
+    "import time\n",
+    "\n",
+    "for i in tqdm(range(100), desc=\"Итерация\"):\n",
+    "    time.sleep(0.01)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Обработка студентов: 100%|██████████| 4/4 [00:00<00:00,  9.77it/s]\n"
+     ]
+    },
+    {
+     "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>Имя</th>\n",
+       "      <th>Возраст</th>\n",
+       "      <th>Баллы</th>\n",
+       "      <th>Категория</th>\n",
+       "      <th>Оценка_буква</th>\n",
+       "      <th>Статус</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Анна</td>\n",
+       "      <td>21</td>\n",
+       "      <td>89</td>\n",
+       "      <td>A</td>\n",
+       "      <td>B</td>\n",
+       "      <td>Сдал</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Борис</td>\n",
+       "      <td>22</td>\n",
+       "      <td>76</td>\n",
+       "      <td>B</td>\n",
+       "      <td>C</td>\n",
+       "      <td>Пересдача</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Виктор</td>\n",
+       "      <td>23</td>\n",
+       "      <td>95</td>\n",
+       "      <td>A</td>\n",
+       "      <td>A</td>\n",
+       "      <td>Сдал</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Галина</td>\n",
+       "      <td>24</td>\n",
+       "      <td>82</td>\n",
+       "      <td>B</td>\n",
+       "      <td>B</td>\n",
+       "      <td>Сдал</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      Имя  Возраст  Баллы Категория Оценка_буква     Статус\n",
+       "0    Анна       21     89         A            B       Сдал\n",
+       "1   Борис       22     76         B            C  Пересдача\n",
+       "2  Виктор       23     95         A            A       Сдал\n",
+       "3  Галина       24     82         B            B       Сдал"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from tqdm import tqdm\n",
+    "import time\n",
+    "\n",
+    "for index, row in tqdm(df.iterrows(), total=df.shape[0], desc=\"Обработка студентов\"):\n",
+    "    time.sleep(0.1)\n",
+    "    df.at[index, \"Статус\"] = \"Сдал\" if row[\"Баллы\"] >= 80 else \"Пересдача\"\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Загрузка:   0%|                                                                                                                                                                                                          | 0/100\n",
+      "Загрузка: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 100/100\n"
+     ]
+    }
+   ],
+   "source": [
+    "from tqdm import tqdm\n",
+    "import time\n",
+    "pbar = tqdm(total=100, desc=\"Загрузка\", bar_format=\"{l_bar}{bar}| {n_fmt}/{total_fmt}\")\n",
+    "for i in range(100):\n",
+    "    time.sleep(0.01)\n",
+    "    pbar.update(1)\n",
+    "pbar.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      " Первые 5 строк:\n",
+      "   Id  SepalLengthCm  SepalWidthCm  PetalLengthCm  PetalWidthCm      Species\n",
+      "0   1            5.1           3.5            1.4           0.2  Iris-setosa\n",
+      "1   2            4.9           3.0            1.4           0.2  Iris-setosa\n",
+      "2   3            4.7           3.2            1.3           0.2  Iris-setosa\n",
+      "3   4            4.6           3.1            1.5           0.2  Iris-setosa\n",
+      "4   5            5.0           3.6            1.4           0.2  Iris-setosa\n",
+      "\n",
+      " Информация о данных:\n",
+      "<class 'pandas.DataFrame'>\n",
+      "RangeIndex: 150 entries, 0 to 149\n",
+      "Data columns (total 6 columns):\n",
+      " #   Column         Non-Null Count  Dtype  \n",
+      "---  ------         --------------  -----  \n",
+      " 0   Id             150 non-null    int64  \n",
+      " 1   SepalLengthCm  150 non-null    float64\n",
+      " 2   SepalWidthCm   150 non-null    float64\n",
+      " 3   PetalLengthCm  150 non-null    float64\n",
+      " 4   PetalWidthCm   150 non-null    float64\n",
+      " 5   Species        150 non-null    str    \n",
+      "dtypes: float64(4), int64(1), str(1)\n",
+      "memory usage: 7.2 KB\n",
+      "None\n",
+      "\n",
+      " Описательная статистика:\n",
+      "               Id  SepalLengthCm  SepalWidthCm  PetalLengthCm  PetalWidthCm\n",
+      "count  150.000000     150.000000    150.000000     150.000000    150.000000\n",
+      "mean    75.500000       5.843333      3.054000       3.758667      1.198667\n",
+      "std     43.445368       0.828066      0.433594       1.764420      0.763161\n",
+      "min      1.000000       4.300000      2.000000       1.000000      0.100000\n",
+      "25%     38.250000       5.100000      2.800000       1.600000      0.300000\n",
+      "50%     75.500000       5.800000      3.000000       4.350000      1.300000\n",
+      "75%    112.750000       6.400000      3.300000       5.100000      1.800000\n",
+      "max    150.000000       7.900000      4.400000       6.900000      2.500000\n",
+      "Пропущенные значения:\n",
+      " Id               0\n",
+      "SepalLengthCm    0\n",
+      "SepalWidthCm     0\n",
+      "PetalLengthCm    0\n",
+      "PetalWidthCm     0\n",
+      "Species          0\n",
+      "dtype: int64\n",
+      "\n",
+      " Обработка строк (имитация загрузки)...\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Обработка данных: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 150/150 [00:00<00:00, 503.08it/s]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 900x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\user\\AppData\\Local\\Temp\\ipykernel_29248\\2669189881.py:50: FutureWarning: \n",
+      "\n",
+      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
+      "\n",
+      "  sns.boxplot(data=df, x='Species', y='PetalLengthCm', palette='Pastel1', width=0.5)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "from tqdm import tqdm\n",
+    "import time\n",
+    "\n",
+    "file_path = \"Iris.csv\"\n",
+    "df = pd.read_csv(file_path)\n",
+    "\n",
+    "print(\"\\n Первые 5 строк:\")\n",
+    "print(df.head())\n",
+    "\n",
+    "print(\"\\n Информация о данных:\")\n",
+    "print(df.info())\n",
+    "\n",
+    "print(\"\\n Описательная статистика:\")\n",
+    "print(df.describe())\n",
+    "\n",
+    "print(\"Пропущенные значения:\\n\", df.isnull().sum())\n",
+    "\n",
+    "print(\"\\n Обработка строк (имитация загрузки)...\")\n",
+    "for index, row in tqdm(df.iterrows(), total=df.shape[0], desc=\"Обработка данных\"):\n",
+    "    time.sleep(0.001)\n",
+    "\n",
+    "sns.set_style(\"whitegrid\")\n",
+    "\n",
+    "plt.figure(figsize=(9,5))\n",
+    "sns.histplot(data=df, x='SepalLengthCm', hue='Species', kde=True, \n",
+    "             bins=20, alpha=0.6, palette='Set2')\n",
+    "plt.title('Распределение длины чашелистика по видам ирисов', fontsize=16)\n",
+    "plt.xlabel('Длина чашелистика (см)', fontsize=12)\n",
+    "plt.ylabel('Частота', fontsize=12)\n",
+    "plt.legend(title='Вид ириса', labels=['setosa', 'versicolor', 'virginica'])\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n",
+    "\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "sns.scatterplot(data=df, x='PetalLengthCm', y='PetalWidthCm', \n",
+    "                hue='Species', style='Species', s=80, alpha=0.8, palette='Set1')\n",
+    "plt.title('Зависимость ширины лепестка от его длины (датасет Iris)', fontsize=16)\n",
+    "plt.xlabel('Длина лепестка (см)', fontsize=12)\n",
+    "plt.ylabel('Ширина лепестка (см)', fontsize=12)\n",
+    "plt.legend(title='Вид ириса', bbox_to_anchor=(1.05, 1), loc='upper left')\n",
+    "plt.grid(True, alpha=0.3)\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n",
+    "\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "\n",
+    "sns.boxplot(data=df, x='Species', y='PetalLengthCm', palette='Pastel1', width=0.5)\n",
+    "\n",
+    "sns.stripplot(data=df, x='Species', y='PetalLengthCm', color='black', \n",
+    "              alpha=0.5, size=4, jitter=True)\n",
+    "\n",
+    "plt.title('Распределение длины лепестка по видам ирисов', fontsize=16)\n",
+    "plt.xlabel('Вид ириса', fontsize=12)\n",
+    "plt.ylabel('Длина лепестка (см)', fontsize=12)\n",
+    "plt.grid(axis='y', alpha=0.3)\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['Id', 'SepalLengthCm', 'SepalWidthCm', 'PetalLengthCm', 'PetalWidthCm', 'Species']\n"
+     ]
+    }
+   ],
+   "source": [
+    "file_path = \"Iris.csv\"\n",
+    "df = pd.read_csv(file_path)\n",
+    "print(df.columns.tolist())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "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"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "8432b7dd9586c3167f1b8de195ecea8b1058261ebc8c8d1915b5c537b188c18a"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}