758 lines
211 KiB
Plaintext
758 lines
211 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "849d9ce8-144a-4c59-9fab-c749bd024cbc",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Учебная практика №2.2. \n",
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"## Анализ данных в Jupyter Notebook\n",
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"\n",
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"Освоить JupyterLab для работы с Python-кодом, анализа данных и визуализации.\n",
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"Познакомиться с основами работы с pandas, numpy, matplotlib, seaborn и tqdm.\n",
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"Научиться комментировать код, изменять параметры и анализировать результат.\n",
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"Укрепить навыки работы с Git: вести репозиторий, фиксировать изменения, документировать процесс."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "6920fb8d-c454-46e4-a279-86516823aada",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Первый взгляд на данные:\n"
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]
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},
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Имя</th>\n",
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" <th>Возраст</th>\n",
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" <th>Баллы</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>Дмитрий</td>\n",
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" <td>20</td>\n",
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" <td>78</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>Елена</td>\n",
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" <td>21</td>\n",
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" <td>91</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>Максим</td>\n",
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" <td>22</td>\n",
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" <td>85</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>Ольга</td>\n",
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" <td>23</td>\n",
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" <td>88</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>Светлана</td>\n",
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" <td>24</td>\n",
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" <td>95</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" Имя Возраст Баллы\n",
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"0 Дмитрий 20 78\n",
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"1 Елена 21 91\n",
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"2 Максим 22 85\n",
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"3 Ольга 23 88\n",
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"4 Светлана 24 95"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Информация о данных:\n",
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"<class 'pandas.DataFrame'>\n",
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"RangeIndex: 5 entries, 0 to 4\n",
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"Data columns (total 3 columns):\n",
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" # Column Non-Null Count Dtype\n",
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"--- ------ -------------- -----\n",
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" 0 Имя 5 non-null str \n",
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" 1 Возраст 5 non-null int64\n",
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" 2 Баллы 5 non-null int64\n",
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"dtypes: int64(2), str(1)\n",
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"memory usage: 252.0 bytes\n",
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"Статистика:\n"
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]
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},
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Возраст</th>\n",
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" <th>Баллы</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>count</th>\n",
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" <td>5.000000</td>\n",
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" <td>5.000000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>mean</th>\n",
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" <td>22.000000</td>\n",
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" <td>87.400000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>std</th>\n",
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" <td>1.581139</td>\n",
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" <td>6.426508</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>min</th>\n",
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" <td>20.000000</td>\n",
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" <td>78.000000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>25%</th>\n",
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" <td>21.000000</td>\n",
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" <td>85.000000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>50%</th>\n",
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" <td>22.000000</td>\n",
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" <td>88.000000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>75%</th>\n",
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" <td>23.000000</td>\n",
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" <td>91.000000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>max</th>\n",
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" <td>24.000000</td>\n",
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" <td>95.000000</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" Возраст Баллы\n",
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"count 5.000000 5.000000\n",
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"mean 22.000000 87.400000\n",
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"std 1.581139 6.426508\n",
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"min 20.000000 78.000000\n",
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"25% 21.000000 85.000000\n",
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"50% 22.000000 88.000000\n",
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"75% 23.000000 91.000000\n",
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"max 24.000000 95.000000"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Пропущенные значения:\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"Имя 0\n",
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"Возраст 0\n",
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"Баллы 0\n",
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"dtype: int64"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"# Создаем DataFrame с измененными данными\n",
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"data = {\n",
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" \"Имя\": [\"Дмитрий\", \"Елена\", \"Максим\", \"Ольга\", \"Светлана\"],\n",
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" \"Возраст\": [20, 21, 22, 23, 24],\n",
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" \"Баллы\": [78, 91, 85, 88, 95]\n",
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"}\n",
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"\n",
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"df = pd.DataFrame(data)\n",
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"\n",
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"print(\"Первый взгляд на данные:\")\n",
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"display(df.head())\n",
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"\n",
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"print(\"Информация о данных:\")\n",
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"df.info()\n",
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"\n",
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"print(\"Статистика:\")\n",
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"display(df.describe())\n",
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"\n",
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"print(\"Пропущенные значения:\")\n",
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"display(df.isnull().sum())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "2723f4ac-22c0-46e9-8a6a-d63042c74e4f",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Обновленный DataFrame:\n"
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]
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},
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Имя</th>\n",
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" <th>Возраст</th>\n",
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" <th>Баллы</th>\n",
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" <th>Повышенные баллы</th>\n",
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" <th>Категория</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>Дмитрий</td>\n",
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" <td>20</td>\n",
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" <td>78</td>\n",
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" <td>89.70</td>\n",
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" <td>A</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>Елена</td>\n",
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" <td>21</td>\n",
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" <td>91</td>\n",
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" <td>104.65</td>\n",
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" <td>B</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>Максим</td>\n",
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" <td>22</td>\n",
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" <td>85</td>\n",
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" <td>97.75</td>\n",
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" <td>A</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>Ольга</td>\n",
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" <td>23</td>\n",
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" <td>88</td>\n",
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" <td>101.20</td>\n",
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" <td>B</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>Светлана</td>\n",
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" <td>24</td>\n",
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" <td>95</td>\n",
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" <td>109.25</td>\n",
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" <td>A</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" Имя Возраст Баллы Повышенные баллы Категория\n",
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"0 Дмитрий 20 78 89.70 A\n",
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"1 Елена 21 91 104.65 B\n",
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"2 Максим 22 85 97.75 A\n",
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"3 Ольга 23 88 101.20 B\n",
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"4 Светлана 24 95 109.25 A"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Студенты старше 21 года:\n"
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]
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},
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{
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"data": {
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Имя</th>\n",
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" <th>Возраст</th>\n",
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" <th>Баллы</th>\n",
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" <th>Повышенные баллы</th>\n",
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" <th>Категория</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>Максим</td>\n",
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" <td>22</td>\n",
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" <td>85</td>\n",
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" <td>97.75</td>\n",
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" <td>A</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>Ольга</td>\n",
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" <td>23</td>\n",
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" <td>88</td>\n",
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" <td>101.20</td>\n",
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" <td>B</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>Светлана</td>\n",
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" <td>24</td>\n",
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" <td>95</td>\n",
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" <td>109.25</td>\n",
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" <td>A</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" Имя Возраст Баллы Повышенные баллы Категория\n",
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"2 Максим 22 85 97.75 A\n",
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"3 Ольга 23 88 101.20 B\n",
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"4 Светлана 24 95 109.25 A"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Группировка по категориям:\n"
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]
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},
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{
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"data": {
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"text/html": [
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" <thead>\n",
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" <tr>\n",
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" <th></th>\n",
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" <th colspan=\"3\" halign=\"left\">Баллы</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th></th>\n",
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" <th>mean</th>\n",
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" <th>max</th>\n",
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" <th>min</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Категория</th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>A</th>\n",
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" <td>86.0</td>\n",
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" <td>95</td>\n",
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" <td>78</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>B</th>\n",
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" <td>89.5</td>\n",
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" <td>91</td>\n",
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" <td>88</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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||
"</div>"
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],
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"text/plain": [
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" Баллы \n",
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" mean max min\n",
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"Категория \n",
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"A 86.0 95 78\n",
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"B 89.5 91 88"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"df[\"Повышенные баллы\"] = df[\"Баллы\"] * 1.15\n",
|
||
"df[\"Категория\"] = [\"A\", \"B\", \"A\", \"B\", \"A\"]\n",
|
||
"\n",
|
||
"print(\"Обновленный DataFrame:\")\n",
|
||
"display(df)\n",
|
||
"\n",
|
||
"print(\"Студенты старше 21 года:\")\n",
|
||
"display(df[df[\"Возраст\"] > 21])\n",
|
||
"\n",
|
||
"print(\"Группировка по категориям:\")\n",
|
||
"display(df.groupby(\"Категория\").agg({\"Баллы\": [\"mean\", \"max\", \"min\"]}))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 6,
|
||
"id": "0c5276b5-d3ac-4737-9947-770c5033cb4a",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Сумма элементов массива: 42\n",
|
||
"Среднее значение: 7.0\n",
|
||
"Медиана: 7.0\n",
|
||
"Стандартное отклонение: 3.415650255319866\n",
|
||
"Матрица:\n",
|
||
"[[2 4]\n",
|
||
" [6 8]]\n",
|
||
"Массив linspace:\n",
|
||
"[ 0. 2.22222222 4.44444444 6.66666667 8.88888889 11.11111111\n",
|
||
" 13.33333333 15.55555556 17.77777778 20. ]\n",
|
||
"Случайные значения:\n",
|
||
"[-0.09227145 -0.27139135 -0.71140609 -1.33075997 -1.3392746 -0.82396103]\n",
|
||
"Скалярное произведение: 23\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Работа с numpy\n",
|
||
"arr = np.array([2, 4, 6, 8, 10, 12])\n",
|
||
"\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))\n",
|
||
"\n",
|
||
"matrix = np.array([[2, 4], [6, 8]])\n",
|
||
"print(\"Матрица:\")\n",
|
||
"print(matrix)\n",
|
||
"\n",
|
||
"line = np.linspace(0, 20, 10)\n",
|
||
"print(\"Массив linspace:\")\n",
|
||
"print(line)\n",
|
||
"\n",
|
||
"random_values = np.random.randn(6)\n",
|
||
"print(\"Случайные значения:\")\n",
|
||
"print(random_values)\n",
|
||
"\n",
|
||
"dot_result = np.dot([2, 3], [4, 5])\n",
|
||
"print(\"Скалярное произведение:\", dot_result)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 7,
|
||
"id": "d45b162e-ed66-40b7-ab88-3aea4f3dfd95",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x500 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Графики matplotlib\n",
|
||
"x = np.linspace(0, 12, 120)\n",
|
||
"y1 = np.sin(x)\n",
|
||
"y2 = np.cos(x)\n",
|
||
"\n",
|
||
"plt.figure(figsize=(10, 5))\n",
|
||
"plt.plot(x, y1, label='sin(x)', color='red')\n",
|
||
"plt.plot(x, y2, label='cos(x)', color='blue', linestyle='--')\n",
|
||
"plt.xlabel(\"X\")\n",
|
||
"plt.ylabel(\"Y\")\n",
|
||
"plt.title(\"Графики синуса и косинуса\")\n",
|
||
"plt.legend()\n",
|
||
"plt.grid(True)\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 8,
|
||
"id": "8a1b2f7c-036b-4820-ae63-e2dbd8dce701",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 800x500 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Столбчатая диаграмма\n",
|
||
"plt.figure(figsize=(8, 5))\n",
|
||
"plt.bar(df[\"Имя\"], df[\"Баллы\"], color='green')\n",
|
||
"plt.xlabel(\"Имя\")\n",
|
||
"plt.ylabel(\"Баллы\")\n",
|
||
"plt.title(\"Баллы студентов\")\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 12,
|
||
"id": "dc358466-fd19-4689-9ee0-f7303b79e52f",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 800x500 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 800x500 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 800x500 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Визуализация seaborn\n",
|
||
"sns.set(style=\"whitegrid\")\n",
|
||
"\n",
|
||
"plt.figure(figsize=(8, 5))\n",
|
||
"sns.boxplot(x=\"Категория\", y=\"Баллы\", hue=\"Категория\", data=df, palette=\"Set2\", legend=False)\n",
|
||
"plt.title(\"Boxplot баллов по категориям\")\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"plt.figure(figsize=(8, 5))\n",
|
||
"sns.histplot(df[\"Баллы\"], bins=5, kde=True, color=\"purple\")\n",
|
||
"plt.title(\"Распределение баллов\")\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"plt.figure(figsize=(8, 5))\n",
|
||
"sns.scatterplot(x=\"Возраст\", y=\"Баллы\", hue=\"Категория\", data=df, s=100)\n",
|
||
"plt.title(\"Зависимость баллов от возраста\")\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 10,
|
||
"id": "20d1a343-12bc-47a9-b6de-06cb140e06fe",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 600x400 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Тепловая карта корреляции\n",
|
||
"plt.figure(figsize=(6, 4))\n",
|
||
"sns.heatmap(df[[\"Возраст\", \"Баллы\", \"Повышенные баллы\"]].corr(), annot=True, cmap=\"coolwarm\")\n",
|
||
"plt.title(\"Корреляция признаков\")\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 11,
|
||
"id": "400ecbce-9b40-43d0-9a6e-f13d7024a4e7",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Обработка данных: 100%|████████████████████████████████████████████████████████████████| 50/50 [00:01<00:00, 48.62it/s]\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Пример tqdm\n",
|
||
"for i in tqdm(range(50), desc=\"Обработка данных\"):\n",
|
||
" time.sleep(0.02)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "9780371a-97c8-4124-a895-ba4e178dc99f",
|
||
"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": "3.14.5"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|