188 lines
5.5 KiB
Plaintext
188 lines
5.5 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"data_base = pd.read_csv(\"csv/option4.csv\")"
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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": 19,
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"metadata": {},
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"outputs": [
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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>id</th>\n",
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" <th>gender</th>\n",
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" <th>age</th>\n",
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" <th>hypertension</th>\n",
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" <th>heart_disease</th>\n",
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" <th>ever_married</th>\n",
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" <th>work_type</th>\n",
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" <th>Residence_type</th>\n",
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" <th>avg_glucose_level</th>\n",
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" <th>bmi</th>\n",
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" <th>smoking_status</th>\n",
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" <th>stroke</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>9046</td>\n",
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" <td>Male</td>\n",
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" <td>67.0</td>\n",
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" <td>0</td>\n",
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" <td>1</td>\n",
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" <td>Yes</td>\n",
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" <td>Private</td>\n",
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" <td>Urban</td>\n",
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" <td>228.69</td>\n",
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" <td>36.6</td>\n",
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" <td>formerly smoked</td>\n",
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" <td>1</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>51676</td>\n",
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" <td>Female</td>\n",
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" <td>61.0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>Yes</td>\n",
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" <td>Self-employed</td>\n",
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" <td>Rural</td>\n",
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" <td>202.21</td>\n",
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" <td>NaN</td>\n",
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" <td>never smoked</td>\n",
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" <td>1</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>31112</td>\n",
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" <td>Male</td>\n",
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" <td>80.0</td>\n",
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" <td>0</td>\n",
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" <td>1</td>\n",
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" <td>Yes</td>\n",
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" <td>Private</td>\n",
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" <td>Rural</td>\n",
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" <td>105.92</td>\n",
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" <td>32.5</td>\n",
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" <td>never smoked</td>\n",
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" <td>1</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>60182</td>\n",
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" <td>Female</td>\n",
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" <td>49.0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>Yes</td>\n",
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" <td>Private</td>\n",
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" <td>Urban</td>\n",
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" <td>171.23</td>\n",
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" <td>34.4</td>\n",
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" <td>smokes</td>\n",
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" <td>1</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>1665</td>\n",
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" <td>Female</td>\n",
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" <td>79.0</td>\n",
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" <td>1</td>\n",
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" <td>0</td>\n",
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" <td>Yes</td>\n",
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" <td>Self-employed</td>\n",
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" <td>Rural</td>\n",
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" <td>174.12</td>\n",
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" <td>24.0</td>\n",
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" <td>never smoked</td>\n",
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" <td>1</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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" id gender age hypertension heart_disease ever_married \\\n",
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"0 9046 Male 67.0 0 1 Yes \n",
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"1 51676 Female 61.0 0 0 Yes \n",
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"2 31112 Male 80.0 0 1 Yes \n",
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"3 60182 Female 49.0 0 0 Yes \n",
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"4 1665 Female 79.0 1 0 Yes \n",
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"\n",
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" work_type Residence_type avg_glucose_level bmi smoking_status \\\n",
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"0 Private Urban 228.69 36.6 formerly smoked \n",
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"1 Self-employed Rural 202.21 NaN never smoked \n",
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"2 Private Rural 105.92 32.5 never smoked \n",
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"3 Private Urban 171.23 34.4 smokes \n",
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"4 Self-employed Rural 174.12 24.0 never smoked \n",
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"\n",
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" stroke \n",
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"0 1 \n",
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"1 1 \n",
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"2 1 \n",
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"3 1 \n",
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"4 1 "
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]
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},
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"execution_count": 19,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"data_base.head()"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "venv",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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