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Елена Бакальская 2024-09-20 20:07:21 +04:00
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# AIM-PIbd-31-Bakalskaya-E-D
в Readme файле должны быть обязательно указаны ваша группа, ФИО, вариант и ссылка на dataset согласно варианту.
Группа: ПИбд-31
ФИО: Бакальская Елена Дмитриевна
Вариант: 4
Ссылка на датасет: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset

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{
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{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
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"source": [
"import pandas as pd\n",
"data_base = pd.read_csv(\"csv/option4.csv\")"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
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" <th>age</th>\n",
" <th>hypertension</th>\n",
" <th>heart_disease</th>\n",
" <th>ever_married</th>\n",
" <th>work_type</th>\n",
" <th>Residence_type</th>\n",
" <th>avg_glucose_level</th>\n",
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" <td>36.6</td>\n",
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" <td>Urban</td>\n",
" <td>171.23</td>\n",
" <td>34.4</td>\n",
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" id gender age hypertension heart_disease ever_married \\\n",
"0 9046 Male 67.0 0 1 Yes \n",
"1 51676 Female 61.0 0 0 Yes \n",
"2 31112 Male 80.0 0 1 Yes \n",
"3 60182 Female 49.0 0 0 Yes \n",
"4 1665 Female 79.0 1 0 Yes \n",
"\n",
" work_type Residence_type avg_glucose_level bmi smoking_status \\\n",
"0 Private Urban 228.69 36.6 formerly smoked \n",
"1 Self-employed Rural 202.21 NaN never smoked \n",
"2 Private Rural 105.92 32.5 never smoked \n",
"3 Private Urban 171.23 34.4 smokes \n",
"4 Self-employed Rural 174.12 24.0 never smoked \n",
"\n",
" stroke \n",
"0 1 \n",
"1 1 \n",
"2 1 \n",
"3 1 \n",
"4 1 "
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data_base.head()"
]
}
],
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