{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p style=\"text-decoration: underline; text-align: center;\">Скриншот запущенного сваггера:</p>\n",
    "\n",
    "<img src=\"./image.png\" style=\"width: 1000px; \"></img>\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "data_base = pd.read_csv(\"csv/option4.csv\")\n",
    "\n",
    "# data_base.info\n",
    "\n",
    "# print(data_base.describe().transpose())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p style=\"text-align: center;\"><i>Вызов функции для удобного просмотра столбцов и их значений во время выполнения лабы</i></p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method DataFrame.info of          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",
       "5105  18234  Female  80.0             1              0          Yes   \n",
       "5106  44873  Female  81.0             0              0          Yes   \n",
       "5107  19723  Female  35.0             0              0          Yes   \n",
       "5108  37544    Male  51.0             0              0          Yes   \n",
       "5109  44679  Female  44.0             0              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",
       "5105        Private          Urban              83.75   NaN     never smoked   \n",
       "5106  Self-employed          Urban             125.20  40.0     never smoked   \n",
       "5107  Self-employed          Rural              82.99  30.6     never smoked   \n",
       "5108        Private          Rural             166.29  25.6  formerly smoked   \n",
       "5109       Govt_job          Urban              85.28  26.2          Unknown   \n",
       "\n",
       "      stroke  \n",
       "0          1  \n",
       "1          1  \n",
       "2          1  \n",
       "3          1  \n",
       "4          1  \n",
       "...      ...  \n",
       "5105       0  \n",
       "5106       0  \n",
       "5107       0  \n",
       "5108       0  \n",
       "5109       0  \n",
       "\n",
       "[5110 rows x 12 columns]>"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_base.info"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p style=\"text-align: center;\"><i>Вызов иной функции для удобного просмотра столбцов и их значений во время выполнения лабы</i></p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['id', 'gender', 'age', 'hypertension', 'heart_disease', 'ever_married',\n",
       "       'work_type', 'Residence_type', 'avg_glucose_level', 'bmi',\n",
       "       'smoking_status', 'stroke'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_base.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p style=\"text-align: center;\"><i>Тренируюсь со срезами...</i></p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "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>id</th>\n",
       "      <th>gender</th>\n",
       "      <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",
       "      <th>bmi</th>\n",
       "      <th>smoking_status</th>\n",
       "      <th>stroke</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>12109</td>\n",
       "      <td>Female</td>\n",
       "      <td>81.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Private</td>\n",
       "      <td>Rural</td>\n",
       "      <td>80.43</td>\n",
       "      <td>29.7</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12095</td>\n",
       "      <td>Female</td>\n",
       "      <td>61.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Govt_job</td>\n",
       "      <td>Rural</td>\n",
       "      <td>120.46</td>\n",
       "      <td>36.8</td>\n",
       "      <td>smokes</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       id  gender   age  hypertension  heart_disease ever_married work_type  \\\n",
       "10  12109  Female  81.0             1              0          Yes   Private   \n",
       "11  12095  Female  61.0             0              1          Yes  Govt_job   \n",
       "\n",
       "   Residence_type  avg_glucose_level   bmi smoking_status  stroke  \n",
       "10          Rural              80.43  29.7   never smoked       1  \n",
       "11          Rural             120.46  36.8         smokes       1  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_base.loc[10:11]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p style=\"text-align: center;\"><i>Все еще непонятной фигней занимаюсь...</i></p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_data_base = data_base.sort_values(\"age\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p style=\"text-align: center;\"><i>А тут уже что-то интересное.<br>Я отбираю количество (сколько раз встречается в таблице) каждое из значений колонки <b>\"статус_курильщика\"</b> Потом с помощью функции plot отрисовываю круговую диаграмму</i></p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Диаграмма людей с разным статусaми курения')"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "smoking_status_count = data_base[\"smoking_status\"].value_counts().plot(kind='pie')\n",
    "\n",
    "# smoking_status_count.plot(kind='bar')\n",
    "plt.title(\"Диаграмма людей с разным статусaми курения\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p style=\"text-align: center;\"><i>Здесь я делаю то же самое, только теперь стилизую диаграмму (area) - подписываю <b>x</b> и <b>y</b> оси, добавляю <b>title</b></i></p>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'количество людей')"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_base[\"smoking_status\"].value_counts().plot(kind='area')\n",
    "\n",
    "# smoking_status_count.plot(kind='bar')\n",
    "plt.title(\"Количество людей с разным статусaми курения\")\n",
    "plt.xlabel(\"статусы курения\")\n",
    "plt.ylabel(\"количество людей\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p style=\"text-align: center;\"><i>Здесь не особо интересно - делаю гистограмму с разницой в количестве мужчин и женщин испытуемых</i></p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='gender'>"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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vvfcqPT1dTqdTM2bMUHJysnUEZcKECXr55Zc1bdo0jR8/XuvXr9c777yj1as5Cx0AANTwCMyrr76qoqIiDRw4UOHh4dZlxYoV1poFCxZo+PDhGjlypAYMGKCwsDCtXLnS2u/n56dVq1bJz89PDodDY8aM0dixYzVnzhxrTVRUlFavXq3MzEz16NFD8+bN0+LFi5WQkFALTxkAAJjuT30PTH3G98AAl47v3Kgd9f37NkzCa7L21PfX5WX5HhgAAABvIGAAAIBxCBgAAGAcAgYAABiHgAEAAMYhYAAAgHEIGAAAYBwCBgAAGIeAAQAAxiFgAACAcQgYAABgHAIGAAAYh4ABAADGIWAAAIBxCBgAAGAcAgYAABiHgAEAAMYhYAAAgHEIGAAAYBwCBgAAGIeAAQAAxiFgAACAcQgYAABgHAIGAAAYh4ABAADGIWAAAIBxCBgAAGAcAgYAABiHgAEAAMYhYAAAgHEIGAAAYBwCBgAAGIeAAQAAxiFgAACAcQgYAABgHAIGAAAYh4ABAADGIWAAAIBxCBgAAGAcAgYAABiHgAEAAMYhYAAAgHEIGAAAYBwCBgAAGIeAAQAAxiFgAACAcQgYAABgHAIGAAAYp8YBs2nTJt16662KiIiQj4+PPvjgA4/99913n3x8fDwuQ4YM8Vhz+vRpjR49Wna7XUFBQUpKSlJxcbHHmp07d6p///5q1qyZIiMjlZ6eXvNnBwAAGqQaB0xJSYl69OihhQsX/u6aIUOGKD8/37q89dZbHvtHjx6tPXv2KDMzU6tWrdKmTZv00EMPWftdLpfi4+PVoUMH5eTk6LnnntOsWbP0+uuv13RcAADQADWp6Q2GDh2qoUOHXnCNzWZTWFjYefft3btXa9eu1eeff67evXtLkv7+979r2LBhev755xUREaFly5aprKxMS5Yskb+/v6677jrl5uZq/vz5HqEDAAAapzo5B2bDhg0KCQlR586d9fDDD+vUqVPWvuzsbAUFBVnxIklxcXHy9fXVZ599Zq0ZMGCA/P39rTUJCQnav3+/fvzxx/M+ZmlpqVwul8cFAAA0TLUeMEOGDNHSpUuVlZWlv/3tb9q4caOGDh2qiooKSZLT6VRISIjHbZo0aaLg4GA5nU5rTWhoqMeaqutVa34rLS1NgYGB1iUyMrK2nxoAAKgnavwW0h8ZNWqU9efu3bsrJiZGV199tTZs2KDBgwfX9sNZUlNTlZKSYl13uVxEDAAADVSdf4y6Y8eOatOmjQ4cOCBJCgsL04kTJzzWlJeX6/Tp09Z5M2FhYSooKPBYU3X9986tsdlsstvtHhcAANAw1XnAfP/99zp16pTCw8MlSQ6HQ4WFhcrJybHWrF+/XpWVlerTp4+1ZtOmTTp37py1JjMzU507d9YVV1xR1yMDAIB6rsYBU1xcrNzcXOXm5kqSDh8+rNzcXOXl5am4uFhTp07Vtm3bdOTIEWVlZWnEiBHq1KmTEhISJEldu3bVkCFD9OCDD2r79u369NNPNXHiRI0aNUoRERGSpHvuuUf+/v5KSkrSnj17tGLFCr344osebxEBAIDGq8YB88UXX6hnz57q2bOnJCklJUU9e/bUzJkz5efnp507d+q2227Ttddeq6SkJMXGxmrz5s2y2WzWfSxbtkxdunTR4MGDNWzYMPXr18/jO14CAwP18ccf6/Dhw4qNjdWUKVM0c+ZMPkINAAAkXcJJvAMHDpTb7f7d/evWrfvD+wgODtby5csvuCYmJkabN2+u6XgAAKAR4LeQAACAcQgYAABgHAIGAAAYh4ABAADGIWAAAIBxCBgAAGAcAgYAABiHgAEAAMYhYAAAgHEIGAAAYBwCBgAAGIeAAQAAxiFgAACAcQgYAABgHAIGAAAYh4ABAADGIWAAAIBxCBgAAGAcAgYAABiHgAEAAMYhYAAAgHEIGAAAYBwCBgAAGIeAAQAAxiFgAACAcQgYAABgHAIGAAAYh4ABAADGIWAAAIBxCBgAAGAcAgYAABiHgAEAAMYhYAAAgHEIGAAAYBwCBgAAGIeAAQAAxiFgAACAcQgYAABgHAIGAAAYh4ABAADGIWAAAIBxCBgAAGAcAgYAABiHgAEAAMYhYAAAgHEIGAAAYBwCBgAAGIeAAQAAxqlxwGzatEm33nqrIiIi5OPjow8++MBjv9vt1syZMxUeHq7mzZsrLi5O3377rcea06dPa/To0bLb7QoKClJSUpKKi4s91uzcuVP9+/dXs2bNFBkZqfT09Jo/OwAA0CDVOGBKSkrUo0cPLVy48Lz709PT9dJLL2nRokX67LPP1KJFCyUkJOjs2bPWmtGjR2vPnj3KzMzUqlWrtGnTJj300EPWfpfLpfj4eHXo0EE5OTl67rnnNGvWLL3++uuX8BQBAEBD06SmNxg6dKiGDh163n1ut1svvPCCZsyYoREjRkiSli5dqtDQUH3wwQcaNWqU9u7dq7Vr1+rzzz9X7969JUl///vfNWzYMD3//POKiIjQsmXLVFZWpiVLlsjf31/XXXedcnNzNX/+fI/QAQAAjVOtngNz+PBhOZ1OxcXFWdsCAwPVp08fZWdnS5Kys7MVFBRkxYskxcXFydfXV5999pm1ZsCAAfL397fWJCQkaP/+/frxxx/P+9ilpaVyuVweFwAA0DDVasA4nU5JUmhoqMf20NBQa5/T6VRISIjH/iZNmig4ONhjzfnu49eP8VtpaWkKDAy0LpGRkX/+CQEAgHqpwXwKKTU1VUVFRdbl6NGj3h4JAADUkVoNmLCwMElSQUGBx/aCggJrX1hYmE6cOOGxv7y8XKdPn/ZYc777+PVj/JbNZpPdbve4AACAhqlWAyYqKkphYWHKysqytrlcLn322WdyOBySJIfDocLCQuXk5Fhr1q9fr8rKSvXp08das2nTJp07d85ak5mZqc6dO+uKK66ozZEBAICBahwwxcXFys3NVW5urqRfTtzNzc1VXl6efHx8NGnSJD311FP68MMPtWvXLo0dO1YRERG6/fbbJUldu3bVkCFD9OCDD2r79u369NNPNXHiRI0aNUoRERGSpHvuuUf+/v5KSkrSnj17tGLFCr344otKSUmptScOAADMVeOPUX/xxRcaNGiQdb0qKsaNG6eMjAxNmzZNJSUleuihh1RYWKh+/fpp7dq1atasmXWbZcuWaeLEiRo8eLB8fX01cuRIvfTSS9b+wMBAffzxx0pOTlZsbKzatGmjmTNn8hFqAAAgSfJxu91ubw9RF1wulwIDA1VUVMT5MEANXfXEam+P0CAceTbR2yM0GLwma099f11e7L/fDeZTSAAAoPEgYAAAgHEIGAAAYBwCBgAAGIeAAQAAxiFgAACAcQgYAABgHAIGAAAYh4ABAADGIWAAAIBxCBgAAGAcAgYAABiHgAEAAMYhYAAAgHEIGAAAYBwCBgAAGIeAAQAAxiFgAACAcQgYAABgHAIGAAAYh4ABAADGIWAAAIBxCBgAAGAcAgYAABiHgAEAAMYhYAAAgHEIGAAAYBwCBgAAGIeAAQAAxiFgAACAcQgYAABgHAIGAAAYh4ABAADGIWAAAIBxCBgAAGAcAgYAABiHgAEAAMYhYAAAgHEIGAAAYBwCBgAAGIeAAQAAxiFgAACAcQgYAABgHAIGAAAYh4ABAADGIWAAAIBxCBgAAGCcWg+YWbNmycfHx+PSpUsXa//Zs2eVnJys1q1bq2XLlho5cqQKCgo87iMvL0+JiYkKCAhQSEiIpk6dqvLy8toeFQAAGKpJXdzpddddp08++eT/HqTJ/z3M5MmTtXr1ar377rsKDAzUxIkTdccdd+jTTz+VJFVUVCgxMVFhYWHaunWr8vPzNXbsWDVt2lTPPPNMXYwLAAAMUycB06RJE4WFhVXbXlRUpP/5n//R8uXL9Ze//EWS9MYbb6hr167atm2b+vbtq48//lhff/21PvnkE4WGhur666/X3LlzNX36dM2aNUv+/v51MTIAADBInZwD8+233yoiIkIdO3bU6NGjlZeXJ0nKycnRuXPnFBcXZ63t0qWL2rdvr+zsbElSdna2unfvrtDQUGtNQkKCXC6X9uzZUxfjAgAAw9T6EZg+ffooIyNDnTt3Vn5+vmbPnq3+/ftr9+7dcjqd8vf3V1BQkMdtQkND5XQ6JUlOp9MjXqr2V+37PaWlpSotLbWuu1yuWnpGAACgvqn1gBk6dKj155iYGPXp00cdOnTQO++8o+bNm9f2w1nS0tI0e/bsOrt/AABQf9T5x6iDgoJ07bXX6sCBAwoLC1NZWZkKCws91hQUFFjnzISFhVX7VFLV9fOdV1MlNTVVRUVF1uXo0aO1+0QAAEC9UecBU1xcrIMHDyo8PFyxsbFq2rSpsrKyrP379+9XXl6eHA6HJMnhcGjXrl06ceKEtSYzM1N2u13R0dG/+zg2m012u93jAgAAGqZafwvp8ccf16233qoOHTro+PHjevLJJ+Xn56e7775bgYGBSkpKUkpKioKDg2W32/Xoo4/K4XCob9++kqT4+HhFR0fr3nvvVXp6upxOp2bMmKHk5GTZbLbaHhcAABio1gPm+++/1913361Tp06pbdu26tevn7Zt26a2bdtKkhYsWCBfX1+NHDlSpaWlSkhI0CuvvGLd3s/PT6tWrdLDDz8sh8OhFi1aaNy4cZozZ05tjwoAAAxV6wHz9ttvX3B/s2bNtHDhQi1cuPB313To0EH/+te/ans0AADQQPBbSAAAwDgEDAAAMA4BAwAAjEPAAAAA4xAwAADAOAQMAAAwDgEDAACMQ8AAAADjEDAAAMA4BAwAADAOAQMAAIxDwAAAAOMQMAAAwDgEDAAAMA4BAwAAjEPAAAAA4xAwAADAOAQMAAAwDgEDAACMQ8AAAADjEDAAAMA4BAwAADAOAQMAAIxDwAAAAOMQMAAAwDgEDAAAMA4BAwAAjEPAAAAA4xAwAADAOAQMAAAwDgEDAACMQ8AAAADjEDAAAMA4BAwAADAOAQMAAIxDwAAAAOMQMAAAwDgEDAAAMA4BAwAAjEPAAAAA4xAwAADAOAQMAAAwDgEDAACMQ8AAAADjEDAAAMA4BAwAADAOAQMAAIxDwAAAAOPU64BZuHChrrrqKjVr1kx9+vTR9u3bvT0SAACoB+ptwKxYsUIpKSl68skn9eWXX6pHjx5KSEjQiRMnvD0aAADwsnobMPPnz9eDDz6o+++/X9HR0Vq0aJECAgK0ZMkSb48GAAC8rIm3BzifsrIy5eTkKDU11drm6+uruLg4ZWdnn/c2paWlKi0tta4XFRVJklwuV90OCzRAlaU/e3uEBoH//tQeXpO1p76/Lqvmc7vdF1xXLwPmhx9+UEVFhUJDQz22h4aGat++fee9TVpammbPnl1te2RkZJ3MCAB/JPAFb08AVGfK6/Knn35SYGDg7+6vlwFzKVJTU5WSkmJdr6ys1OnTp9W6dWv5+Ph4cTLzuVwuRUZG6ujRo7Lb7d4eB+A1iXqH12Ttcbvd+umnnxQREXHBdfUyYNq0aSM/Pz8VFBR4bC8oKFBYWNh5b2Oz2WSz2Ty2BQUF1dWIjZLdbud/mKhXeE2ivuE1WTsudOSlSr08idff31+xsbHKysqytlVWViorK0sOh8OLkwEAgPqgXh6BkaSUlBSNGzdOvXv31o033qgXXnhBJSUluv/++709GgAA8LJ6GzB33XWXTp48qZkzZ8rpdOr666/X2rVrq53Yi7pns9n05JNPVnuLDvAWXpOob3hNXn4+7j/6nBIAAEA9Uy/PgQEAALgQAgYAABiHgAEAAMYhYAAAgHEIGAAAYBwCBh7Ky8u1dOnSat+CDABAfcLHqFFNQECA9u7dqw4dOnh7FKCaAwcO6ODBgxowYICaN28ut9vN750BjRBHYFDNjTfeqNzcXG+PAXg4deqU4uLidO2112rYsGHKz8+XJCUlJWnKlCleng6NWWFhoRYvXqzU1FSdPn1akvTll1/q2LFjXp6sYau338QL73nkkUeUkpKio0ePKjY2Vi1atPDYHxMT46XJ0JhNnjxZTZo0UV5enrp27Wptv+uuu5SSkqJ58+Z5cTo0Vjt37lRcXJwCAwN15MgRPfjggwoODtbKlSuVl5enpUuXenvEBou3kFCNr2/1A3M+Pj7WofqKigovTIXGLiwsTOvWrVOPHj3UqlUr7dixQx07dtShQ4cUExOj4uJib4+IRiguLk69evVSenq6x+ty69atuueee3TkyBFvj9hgcQQG1Rw+fNjbIwDVlJSUKCAgoNr206dP8/sz8JrPP/9cr732WrXtV155pZxOpxcmajwIGFTDybuoj/r376+lS5dq7ty5kn45KlhZWan09HQNGjTIy9OhsbLZbHK5XNW2f/PNN2rbtq0XJmo8OIkX5/WPf/xDN910kyIiIvTdd99Jkl544QX985//9PJkaKzS09P1+uuva+jQoSorK9O0adPUrVs3bdq0SX/729+8PR4aqdtuu01z5szRuXPnJP0S1nl5eZo+fbpGjhzp5ekaNgIG1bz66qtKSUnRsGHDVFhYaJ3zEhQUpBdeeMG7w6HR6tatm7755hv169dPI0aMUElJie644w599dVXuvrqq709HhqpefPmqbi4WCEhITpz5oxuvvlmderUSa1atdLTTz/t7fEaNE7iRTXR0dF65plndPvtt3uclLZ7924NHDhQP/zwg7dHBIB6ZcuWLdq5c6eKi4vVq1cvxcXFeXukBo9zYFDN4cOH1bNnz2rbbTabSkpKvDARGqudO3de9Fo+3g9v6tevn/r16+ftMRoVAgbVREVFKTc3t9rJvGvXrvX4/g2grl1//fXWR/gvhI/343J66aWXLnrtf/7nf9bhJI0bAYNqUlJSlJycrLNnz8rtdmv79u166623lJaWpsWLF3t7PDQifKQf9dGCBQsuap2Pjw8BU4c4BwbntWzZMs2aNUsHDx6UJEVERGj27NlKSkry8mQAABAw+AM///yzdYY9UB98/fXXysvLU1lZmcf22267zUsTAfAGAgaAEQ4dOqS//vWv2rVrl8d5MVW/RM05MPCW77//Xh9++OF5w3r+/Plemqrh4xwYVFNQUKDHH39cWVlZOnHiRLUTKPmHAt7w2GOPKSoqSllZWYqKitL27dt16tQpTZkyRc8//7y3x0MjlZWVpdtuu00dO3bUvn371K1bNx05ckRut1u9evXy9ngNGkdgUM3QoUOVl5eniRMnKjw83Pp/uFVGjBjhpcnQmLVp00br169XTEyMAgMDtX37dnXu3Fnr16/XlClT9NVXX3l7RDRCN954o4YOHarZs2db35sVEhKi0aNHa8iQIXr44Ye9PWKDxREYVLNlyxZt3rxZ119/vbdHASwVFRVq1aqVpF9i5vjx4+rcubM6dOig/fv3e3k6NFZ79+7VW2+9JUlq0qSJzpw5o5YtW2rOnDkaMWIEAVOHCBhUExkZ+YffuwFcbt26ddOOHTsUFRWlPn36KD09Xf7+/nr99dfVsWNHb4+HRqpFixbWeS/h4eE6ePCgrrvuOkniW8vrGL+FhGpeeOEFPfHEEzpy5Ii3RwEsM2bMUGVlpSRp9uzZOnz4sPr3769//etfevHFF708HRqrvn37asuWLZKkYcOGacqUKXr66ac1fvx49e3b18vTNWycAwNJ0hVXXOFxrktJSYnKy8sVEBCgpk2beqw9ffr05R4POK/Tp09Xe+0Cl9OhQ4dUXFysmJgYlZSUaMqUKdq6dauuueYazZ8/v9o3mqP2EDCQJL355psXvXbcuHF1OAngafz48Re1bsmSJXU8CYD6hIABUK/5+vqqQ4cO6tmz5wXPzXr//fcv41RAdcXFxdbbnFXsdruXpmn4OIkX1fj5+Sk/P7/at++eOnVKISEhfA8MLquHH35Yb731lg4fPqz7779fY8aMUXBwsLfHAiT98ntdEydO1IYNG3T27Flru9vt5kdG6xhHYFCNr6+vnE5ntYA5fvy4rr76ap05c8ZLk6GxKi0t1cqVK7VkyRJt3bpViYmJSkpKUnx8POe/wKtuuukmud1uPfbYYwoNDa32erz55pu9NFnDR8DAUvUT8ZMnT9bcuXPVsmVLa19FRYU2bdqkI0eO8IVh8KrvvvtOGRkZWrp0qcrLy7Vnzx6P1ypwObVs2VI5OTnq3Lmzt0dpdHgLCZaqn4h3u91atGiR/Pz8rH3+/v666qqrtGjRIm+NB0j65Qhh1W8hcXge3nbDDTfo6NGjBIwXcAQG1QwaNEgrV65UeXm5fHx81KZNG2+PhEbu128hbdmyRcOHD9f999+vIUOGyNeXr7OC9xw8eFATJkzQmDFj1K1bt2pfOxETE+OlyRo+jsDAQ2Fhobp27aprrrlGP/74o6RfviNm1KhReuqppxQUFOTdAdHoPPLII3r77bcVGRmp8ePH66233iKqUW+cPHlSBw8e1P33329tqzpCyEm8dYsjMLCcPn1aDodDx44d0+jRo9W1a1dJ0tdff63ly5crMjJSW7du1RVXXOHlSdGY+Pr6qn379urZs+cFT9hduXLlZZwK+EV0dLS6du2qadOmnfckXr7Iru4QMLBMmjRJWVlZ+uSTTxQaGuqxz+l0Kj4+XoMHD7bOlQEuh/vuu++iPmn0xhtvXIZpAE8tWrTQjh071KlTJ2+P0ugQMLBcddVVeu2115SQkHDe/WvXrtWECRP4jSQA+P9uvfVW3XfffRo5cqS3R2l0OAcGlvz8fOtXVM+nW7ducjqdl3EiAKjfbr31Vk2ePFm7du1S9+7dq53Ee9ttt3lpsoaPIzCwXHnllVqxYoX69et33v2bN2/WXXfdpePHj1/myQCgfrrQp+A4ibduETCwjB8/XgcPHlRmZqb8/f099pWWliohIUEdO3bkR/MAAF5HwMDy/fffq3fv3rLZbEpOTlaXLl3kdru1d+9evfLKKyotLdUXX3yhyMhIb48KAPXO2bNn1axZM2+P0WgQMPBw+PBhPfLII/r444+tX/718fHRLbfcopdffpkz7QHgVyoqKvTMM89o0aJFKigo0DfffKOOHTvqv//7v3XVVVcpKSnJ2yM2WHyFJTxERUVpzZo1+uGHH7Rt2zZt27ZNJ0+e1Nq1a4kXAPiNp59+WhkZGUpPT/d4671bt25avHixFydr+DgCAwDAJerUqZNee+01DR48WK1atdKOHTvUsWNH7du3Tw6Hw/pGc9Q+jsAAAHCJjh07dt6j05WVlTp37pwXJmo8CBgAAC5RdHS0Nm/eXG37e++9p549e3phosaDL7IDAOASzZw5U+PGjdOxY8dUWVmplStXav/+/Vq6dKlWrVrl7fEaNM6BAQCghg4dOqSoqCj5+Pho8+bNmjNnjnbs2KHi4mL16tVLM2fOVHx8vLfHbNA4AgMAQA1dc801ys/PV0hIiPr376/g4GDt2rWr2g/hou5wDgwAADX02zcv1qxZo5KSEi9N0zgRMAAA/EmcjXH5ETAAANSQj4+PfHx8qm3D5cM5MAAA1JDb7dZ9990nm80m6ZffQZowYYJatGjhsW7lypXeGK9RIGAAAKihcePGeVwfM2aMlyZpvPgYNQAAMA7nwAAAAOMQMAAAwDgEDAAAMA4BA6DBue+++3T77bd7ewwAdYiAAQAAxiFgAOA33G63ysvLvT0GgAsgYADUmZ9++kmjR49WixYtFB4ergULFmjgwIGaNGmSJKm0tFSPP/64rrzySrVo0UJ9+vTRhg0brNtnZGQoKChI69atU9euXdWyZUsNGTJE+fn51pqKigqlpKQoKChIrVu31rRp06p9rXtlZaXS0tIUFRWl5s2bq0ePHnrvvfes/Rs2bJCPj4/WrFmj2NhY2Ww2bdmypU7/bgD8OQQMgDqTkpKiTz/9VB9++KEyMzO1efNmffnll9b+iRMnKjs7W2+//bZ27typ//iP/9CQIUP07bffWmt+/vlnPf/88/rHP/6hTZs2KS8vT48//ri1f968ecrIyNCSJUu0ZcsWnT59Wu+//77HHGlpaVq6dKkWLVqkPXv2aPLkyRozZow2btzose6JJ57Qs88+q7179yomJqaO/lYA1Ao3ANQBl8vlbtq0qfvdd9+1thUWFroDAgLcjz32mPu7775z+/n5uY8dO+Zxu8GDB7tTU1Pdbrfb/cYbb7gluQ8cOGDtX7hwoTs0NNS6Hh4e7k5PT7eunzt3zt2uXTv3iBEj3G6323327Fl3QECAe+vWrR6Pk5SU5L777rvdbrfb/e9//9styf3BBx/UzpMHUOf4KQEAdeLQoUM6d+6cbrzxRmtbYGCgOnfuLEnatWuXKioqdO2113rcrrS0VK1bt7auBwQE6Oqrr7auh4eH68SJE5KkoqIi5efnq0+fPtb+Jk2aqHfv3tbbSAcOHNDPP/+sW265xeNxysrK1LNnT49tvXv3/jNPGcBlRMAA8Iri4mL5+fkpJydHfn5+Hvtatmxp/blp06Ye+3x8fKqd4/JHjyNJq1ev1pVXXumxr+qH+Kr89of4ANRfBAyAOtGxY0c1bdpUn3/+udq3by/plyMm33zzjQYMGKCePXuqoqJCJ06cUP/+/S/pMQIDAxUeHq7PPvtMAwYMkCSVl5crJydHvXr1kiRFR0fLZrMpLy9PN998c+08OQBeR8AAqBOtWrXSuHHjNHXqVAUHByskJERPPvmkfH195ePjo2uvvVajR4/W2LFjNW/ePPXs2VMnT55UVlaWYmJilJiYeFGP89hjj+nZZ5/VNddcoy5dumj+/PkqLCz0mOPxxx/X5MmTVVlZqX79+qmoqEiffvqp7HZ7tV8VBmAGAgZAnZk/f74mTJig4cOHy263a9q0aTp69KiaNWsmSXrjjTf01FNPacqUKTp27JjatGmjvn37avjw4Rf9GFOmTFF+fr7GjRsnX19fjR8/Xn/9619VVFRkrZk7d67atm2rtLQ0HTp0SEFBQerVq5f+67/+q9afM4DLw8ddkzeTAeBPKCkp0ZVXXql58+YpKSnJ2+MAMBhHYADUma+++kr79u3TjTfeqKKiIs2ZM0eSNGLECC9PBsB0BAyAOvX8889r//798vf3V2xsrDZv3qw2bdp4eywAhuMtJAAAYBx+SgAAABiHgAEAAMYhYAAAgHEIGAAAYBwCBgAAGIeAAQAAxiFgAACAcQgYAABgHAIGAAAY5/8BbzIkF3FHxfEAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_base[\"gender\"].value_counts().sort_values().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p style=\"text-align: center;\"><i>Здесь я беру данные по срезу (с 100-го челобрека по 300-го). И строю точечную диаграмму, которая отображает по иксам - курящий ли и насколько человек, а по игрекам - возраст</i></p>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='smoking_status', ylabel='age'>"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_base.loc[100:300].plot.scatter(x=\"smoking_status\", y=\"age\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "venv",
   "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": "3.12.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}