{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d2ebf1f2-df75-497a-b257-c3894f5c0c26",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Загружено строк: 8366, столбцов: 10\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>train_no</th>\n",
       "      <th>train_name</th>\n",
       "      <th>source_station</th>\n",
       "      <th>departure_time</th>\n",
       "      <th>arrival_time</th>\n",
       "      <th>distance</th>\n",
       "      <th>destination_station</th>\n",
       "      <th>days_of_week</th>\n",
       "      <th>classes</th>\n",
       "      <th>intermediate_stops</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10101</td>\n",
       "      <td>RN MADGAON EXP Train</td>\n",
       "      <td>Ratnagiri</td>\n",
       "      <td>1:40</td>\n",
       "      <td>9:00</td>\n",
       "      <td>239.0</td>\n",
       "      <td>Madgaon</td>\n",
       "      <td>MON,TUE,WED,THU,FRI,SAT,SUN</td>\n",
       "      <td>1A,2A,3A,CC,FC,SL,2S,3E,GN</td>\n",
       "      <td>Ratnagiri (arr=First,dep=01:40) | Rajapur Road...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10102</td>\n",
       "      <td>MADGAON RN EXP Train</td>\n",
       "      <td>Madgaon</td>\n",
       "      <td>19:00</td>\n",
       "      <td>1:54</td>\n",
       "      <td>239.0</td>\n",
       "      <td>Ratnagiri</td>\n",
       "      <td>MON,TUE,WED,THU,FRI,SAT,SUN</td>\n",
       "      <td>1A,2A,3A,CC,FC,SL,2S,3E,GN</td>\n",
       "      <td>Madgaon (arr=First,dep=19:00) | Verna (arr=19:...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10103</td>\n",
       "      <td>MANDOVI EXPRESS</td>\n",
       "      <td>C Shivaji Maharaj T</td>\n",
       "      <td>7:10</td>\n",
       "      <td>19:10</td>\n",
       "      <td>765.0</td>\n",
       "      <td>Madgaon</td>\n",
       "      <td>MON,TUE,WED,THU,FRI,SAT,SUN</td>\n",
       "      <td>GN,3E,SL,3A,2A,1A</td>\n",
       "      <td>C Shivaji Maharaj T (arr=First,dep=07:10) | Da...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   train_no            train_name       source_station departure_time  \\\n",
       "0     10101  RN MADGAON EXP Train            Ratnagiri           1:40   \n",
       "1     10102  MADGAON RN EXP Train              Madgaon          19:00   \n",
       "2     10103       MANDOVI EXPRESS  C Shivaji Maharaj T           7:10   \n",
       "\n",
       "  arrival_time  distance destination_station                 days_of_week  \\\n",
       "0         9:00     239.0             Madgaon  MON,TUE,WED,THU,FRI,SAT,SUN   \n",
       "1         1:54     239.0           Ratnagiri  MON,TUE,WED,THU,FRI,SAT,SUN   \n",
       "2        19:10     765.0             Madgaon  MON,TUE,WED,THU,FRI,SAT,SUN   \n",
       "\n",
       "                      classes  \\\n",
       "0  1A,2A,3A,CC,FC,SL,2S,3E,GN   \n",
       "1  1A,2A,3A,CC,FC,SL,2S,3E,GN   \n",
       "2           GN,3E,SL,3A,2A,1A   \n",
       "\n",
       "                                  intermediate_stops  \n",
       "0  Ratnagiri (arr=First,dep=01:40) | Rajapur Road...  \n",
       "1  Madgaon (arr=First,dep=19:00) | Verna (arr=19:...  \n",
       "2  C Shivaji Maharaj T (arr=First,dep=07:10) | Da...  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from tqdm import tqdm\n",
    "\n",
    "# Загрузка данных\n",
    "df = pd.read_csv('IRCTC_cleaned.csv')\n",
    "\n",
    "\n",
    "print(f\"Загружено строк: {df.shape[0]}, столбцов: {df.shape[1]}\")\n",
    "df.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29d5a1f0-2ccb-413a-95b9-d27f13a85308",
   "metadata": {},
   "source": [
    "1. Начальный анализ\n",
    "\n",
    "Проверим типы данных, пропуски и основные статистики.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "95d8ad66-94ac-4d5d-a66a-385609f47d3e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.DataFrame'>\n",
      "RangeIndex: 8366 entries, 0 to 8365\n",
      "Data columns (total 10 columns):\n",
      " #   Column               Non-Null Count  Dtype  \n",
      "---  ------               --------------  -----  \n",
      " 0   train_no             8366 non-null   int64  \n",
      " 1   train_name           8366 non-null   str    \n",
      " 2   source_station       8366 non-null   str    \n",
      " 3   departure_time       8366 non-null   str    \n",
      " 4   arrival_time         8366 non-null   str    \n",
      " 5   distance             8366 non-null   float64\n",
      " 6   destination_station  8366 non-null   str    \n",
      " 7   days_of_week         8366 non-null   str    \n",
      " 8   classes              8266 non-null   str    \n",
      " 9   intermediate_stops   8366 non-null   str    \n",
      "dtypes: float64(1), int64(1), str(8)\n",
      "memory usage: 653.7 KB\n",
      "None\n",
      "\n",
      "Пропуски в данных:\n",
      "train_no                 0\n",
      "train_name               0\n",
      "source_station           0\n",
      "departure_time           0\n",
      "arrival_time             0\n",
      "distance                 0\n",
      "destination_station      0\n",
      "days_of_week             0\n",
      "classes                100\n",
      "intermediate_stops       0\n",
      "dtype: int64\n",
      "\n",
      "Описательные статистики:\n"
     ]
    },
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>train_no</th>\n",
       "      <th>train_name</th>\n",
       "      <th>source_station</th>\n",
       "      <th>departure_time</th>\n",
       "      <th>arrival_time</th>\n",
       "      <th>distance</th>\n",
       "      <th>destination_station</th>\n",
       "      <th>days_of_week</th>\n",
       "      <th>classes</th>\n",
       "      <th>intermediate_stops</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8366.000000</td>\n",
       "      <td>8366</td>\n",
       "      <td>8366</td>\n",
       "      <td>8366</td>\n",
       "      <td>8366</td>\n",
       "      <td>8366.000000</td>\n",
       "      <td>8366</td>\n",
       "      <td>8366</td>\n",
       "      <td>8266</td>\n",
       "      <td>8366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>NaN</td>\n",
       "      <td>6783</td>\n",
       "      <td>1034</td>\n",
       "      <td>346</td>\n",
       "      <td>430</td>\n",
       "      <td>NaN</td>\n",
       "      <td>917</td>\n",
       "      <td>8</td>\n",
       "      <td>95</td>\n",
       "      <td>8320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>NaN</td>\n",
       "      <td>VANDE BHARAT EXP Train</td>\n",
       "      <td>Howrah Jn</td>\n",
       "      <td>6:00</td>\n",
       "      <td>12:30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Howrah Jn</td>\n",
       "      <td>MON,TUE,WED,THU,FRI,SAT,SUN</td>\n",
       "      <td>1A,2A,3A,CC,FC,SL,2S,3E,GN</td>\n",
       "      <td>Solapur Jn (arr=First,dep=23:50) | Kurduvadi (...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>NaN</td>\n",
       "      <td>76</td>\n",
       "      <td>123</td>\n",
       "      <td>127</td>\n",
       "      <td>68</td>\n",
       "      <td>NaN</td>\n",
       "      <td>136</td>\n",
       "      <td>7861</td>\n",
       "      <td>6369</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>37012.989481</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>599.845087</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>21891.022594</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>712.966429</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>10101.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>15707.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>22885.500000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>290.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>57225.750000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>795.750000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>69250.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4189.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            train_no              train_name source_station departure_time  \\\n",
       "count    8366.000000                    8366           8366           8366   \n",
       "unique           NaN                    6783           1034            346   \n",
       "top              NaN  VANDE BHARAT EXP Train      Howrah Jn           6:00   \n",
       "freq             NaN                      76            123            127   \n",
       "mean    37012.989481                     NaN            NaN            NaN   \n",
       "std     21891.022594                     NaN            NaN            NaN   \n",
       "min     10101.000000                     NaN            NaN            NaN   \n",
       "25%     15707.250000                     NaN            NaN            NaN   \n",
       "50%     22885.500000                     NaN            NaN            NaN   \n",
       "75%     57225.750000                     NaN            NaN            NaN   \n",
       "max     69250.000000                     NaN            NaN            NaN   \n",
       "\n",
       "       arrival_time     distance destination_station  \\\n",
       "count          8366  8366.000000                8366   \n",
       "unique          430          NaN                 917   \n",
       "top           12:30          NaN           Howrah Jn   \n",
       "freq             68          NaN                 136   \n",
       "mean            NaN   599.845087                 NaN   \n",
       "std             NaN   712.966429                 NaN   \n",
       "min             NaN     2.000000                 NaN   \n",
       "25%             NaN   105.000000                 NaN   \n",
       "50%             NaN   290.000000                 NaN   \n",
       "75%             NaN   795.750000                 NaN   \n",
       "max             NaN  4189.000000                 NaN   \n",
       "\n",
       "                       days_of_week                     classes  \\\n",
       "count                          8366                        8266   \n",
       "unique                            8                          95   \n",
       "top     MON,TUE,WED,THU,FRI,SAT,SUN  1A,2A,3A,CC,FC,SL,2S,3E,GN   \n",
       "freq                           7861                        6369   \n",
       "mean                            NaN                         NaN   \n",
       "std                             NaN                         NaN   \n",
       "min                             NaN                         NaN   \n",
       "25%                             NaN                         NaN   \n",
       "50%                             NaN                         NaN   \n",
       "75%                             NaN                         NaN   \n",
       "max                             NaN                         NaN   \n",
       "\n",
       "                                       intermediate_stops  \n",
       "count                                                8366  \n",
       "unique                                               8320  \n",
       "top     Solapur Jn (arr=First,dep=23:50) | Kurduvadi (...  \n",
       "freq                                                    2  \n",
       "mean                                                  NaN  \n",
       "std                                                   NaN  \n",
       "min                                                   NaN  \n",
       "25%                                                   NaN  \n",
       "50%                                                   NaN  \n",
       "75%                                                   NaN  \n",
       "max                                                   NaN  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Инфо о столбцах\n",
    "print(df.info())\n",
    "\n",
    "\n",
    "print(\"\\nПропуски в данных:\")\n",
    "print(df.isnull().sum())\n",
    "\n",
    "# основные статистики для числовых признаков и признаков категорий\n",
    "print(\"\\nОписательные статистики:\")\n",
    "display(df.describe(include='all'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "43441034-cbcf-4450-82fa-1fbbc92f022a",
   "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>train_no</th>\n",
       "      <th>train_name</th>\n",
       "      <th>source_station</th>\n",
       "      <th>destination_station</th>\n",
       "      <th>departure_hour</th>\n",
       "      <th>num_days</th>\n",
       "      <th>distance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10101</td>\n",
       "      <td>RN MADGAON EXP Train</td>\n",
       "      <td>Ratnagiri</td>\n",
       "      <td>Madgaon</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>239.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10102</td>\n",
       "      <td>MADGAON RN EXP Train</td>\n",
       "      <td>Madgaon</td>\n",
       "      <td>Ratnagiri</td>\n",
       "      <td>19</td>\n",
       "      <td>7</td>\n",
       "      <td>239.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10103</td>\n",
       "      <td>MANDOVI EXPRESS</td>\n",
       "      <td>C Shivaji Maharaj T</td>\n",
       "      <td>Madgaon</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>765.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10104</td>\n",
       "      <td>MANDOVI EXPRESS</td>\n",
       "      <td>Madgaon</td>\n",
       "      <td>C Shivaji Maharaj T</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>765.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10105</td>\n",
       "      <td>DIVA SWV EXPRESS Train</td>\n",
       "      <td>Diva Jn</td>\n",
       "      <td>Sawantwadi Road</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>613.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   train_no              train_name       source_station  destination_station  \\\n",
       "0     10101    RN MADGAON EXP Train            Ratnagiri              Madgaon   \n",
       "1     10102    MADGAON RN EXP Train              Madgaon            Ratnagiri   \n",
       "2     10103         MANDOVI EXPRESS  C Shivaji Maharaj T              Madgaon   \n",
       "3     10104         MANDOVI EXPRESS              Madgaon  C Shivaji Maharaj T   \n",
       "4     10105  DIVA SWV EXPRESS Train              Diva Jn      Sawantwadi Road   \n",
       "\n",
       "   departure_hour  num_days  distance  \n",
       "0               1         7     239.0  \n",
       "1              19         7     239.0  \n",
       "2               7         7     765.0  \n",
       "3               9         7     765.0  \n",
       "4               6         7     613.0  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Преобразуем время в формат datetime\n",
    "# извлекаем час\n",
    "df['departure_time'] = pd.to_datetime(df['departure_time'], format='%H:%M', errors='coerce')\n",
    "df['arrival_time']   = pd.to_datetime(df['arrival_time'],   format='%H:%M', errors='coerce')\n",
    "df['departure_hour'] = df['departure_time'].dt.hour\n",
    "\n",
    "# Разбивка строки с днями недели на список\n",
    "df['days_list'] = df['days_of_week'].str.split(',')\n",
    "\n",
    "# столбец с количеством дней курсирования\n",
    "df['num_days'] = df['days_list'].str.len()\n",
    "\n",
    "# Проверка результата\n",
    "df[['train_no', 'train_name', 'source_station', 'destination_station',\n",
    "    'departure_hour', 'num_days', 'distance']].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "bdaceae5-31ee-4d16-988a-d1734efa6cb5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "sns.histplot(df['distance'].dropna(), bins=40, kde=True, color='darkcyan', edgecolor='white')\n",
    "plt.title('Распределение расстояния рейсов Indian Railways', fontsize=14, fontweight='bold')\n",
    "plt.xlabel('Расстояние (км)')\n",
    "plt.ylabel('Количество поездов')\n",
    "plt.grid(axis='y', alpha=0.4)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c6e1939a-8eaf-4a0a-b2a7-ae35a8bc4a5c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "sns.scatterplot(data=df, x='distance', y='num_days',\n",
    "                alpha=0.6, hue='num_days', palette='plasma', size='num_days', sizes=(20, 200))\n",
    "plt.title('Связь расстояния и количества дней курсирования', fontsize=14, fontweight='bold')\n",
    "plt.xlabel('Расстояние (км)')\n",
    "plt.ylabel('Дней в неделю')\n",
    "plt.legend(title='Дней')\n",
    "plt.grid(alpha=0.3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "bc8901df-ea11-45c3-bae4-8866dbff56cf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Boxplot: распределение расстояний по часам отправления\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.boxplot(data=df, x='departure_hour', y='distance',\n",
    "            hue='departure_hour', palette='coolwarm', legend=False)\n",
    "plt.title('Распределение расстояний по часам отправления', fontsize=14, fontweight='bold')\n",
    "plt.xlabel('Час отправления')\n",
    "plt.ylabel('Расстояние (км)')\n",
    "plt.grid(axis='y', alpha=0.3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "fed45282-3686-438c-ac14-eb7603365e58",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_stations = df['source_station'].value_counts().head(15)\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.barplot(x=top_stations.values, y=top_stations.index, hue=top_stations.index, palette='magma', legend=False)\n",
    "plt.title('Топ-15 станций по количеству поездов', fontsize=14, fontweight='bold')\n",
    "plt.xlabel('Количество поездов')\n",
    "plt.ylabel('Станция отправления')\n",
    "plt.grid(axis='x', alpha=0.3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "e20286c1-8d59-4f1f-8ceb-92f11ba54f27",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Выбор числовых столбцов, добавление логарифмов расстояния для примера\n",
    "df['distance_log'] = np.log1p(df['distance'])\n",
    "numeric_cols = ['distance', 'num_days', 'departure_hour', 'distance_log']\n",
    "\n",
    "plt.figure(figsize=(8, 6))\n",
    "corr_matrix = df[numeric_cols].corr()\n",
    "sns.heatmap(corr_matrix, annot=True, cmap='coolwarm', linewidths=0.5, fmt='.2f')\n",
    "plt.title('Корреляция числовых признаков', fontsize=14, fontweight='bold')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "51bd46c2-dead-4296-b1bb-afec9302a3d3",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Обработка станций: 100%|█████████████████████████████████| 1034/1034 [00:00<00:00, 6133.73it/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>Станция</th>\n",
       "      <th>Среднее расстояние</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>648</th>\n",
       "      <td>PQ Amritsar Jn</td>\n",
       "      <td>3597.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>665</th>\n",
       "      <td>PQ Coimbatore Jn</td>\n",
       "      <td>3086.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>751</th>\n",
       "      <td>PQ Silghat Town</td>\n",
       "      <td>2964.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>536</th>\n",
       "      <td>Mandapam</td>\n",
       "      <td>2719.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>468</th>\n",
       "      <td>Kochuveli</td>\n",
       "      <td>2657.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>631</th>\n",
       "      <td>New Tinsukia</td>\n",
       "      <td>2551.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>755</th>\n",
       "      <td>PQ Tirunelveli</td>\n",
       "      <td>2505.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>645</th>\n",
       "      <td>PQ Ajmer Jn</td>\n",
       "      <td>2476.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>656</th>\n",
       "      <td>PQ Bikaner Jn</td>\n",
       "      <td>2451.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>702</th>\n",
       "      <td>PQ Kanniyakumari</td>\n",
       "      <td>2373.666667</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Станция  Среднее расстояние\n",
       "648    PQ Amritsar Jn         3597.000000\n",
       "665  PQ Coimbatore Jn         3086.000000\n",
       "751   PQ Silghat Town         2964.000000\n",
       "536          Mandapam         2719.500000\n",
       "468         Kochuveli         2657.000000\n",
       "631      New Tinsukia         2551.500000\n",
       "755    PQ Tirunelveli         2505.000000\n",
       "645       PQ Ajmer Jn         2476.000000\n",
       "656     PQ Bikaner Jn         2451.000000\n",
       "702  PQ Kanniyakumari         2373.666667"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Группировка по станции отправления и расчёт среднего расстояния\n",
    "grouped = df.groupby('source_station')\n",
    "mean_distances = {}\n",
    "for station, group in tqdm(grouped, desc='Обработка станций'):\n",
    "    mean_distances[station] = group['distance'].mean()\n",
    "\n",
    "# Превращение в DataFrame для вывода\n",
    "mean_dist_df = pd.DataFrame(list(mean_distances.items()), columns=['Станция', 'Среднее расстояние'])\n",
    "mean_dist_df = mean_dist_df.sort_values('Среднее расстояние', ascending=False)\n",
    "mean_dist_df.head(10)"
   ]
  }
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