Hotel Booking Data Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 351,
   "id": "79b631d5-2c31-44ac-a294-8c3571133a63",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np \n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 352,
   "id": "9c84c867-5d50-4101-8955-eb01d17316a9",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"hotel_bookings.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 353,
   "id": "05c88752-7bb8-47dc-bf85-26d778f65d71",
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_columns',500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 354,
   "id": "05ad9239-4838-4ac7-857e-e94586e1357d",
   "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>hotel</th>\n",
       "      <th>is_canceled</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_date_year</th>\n",
       "      <th>arrival_date_month</th>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "      <th>stays_in_weekend_nights</th>\n",
       "      <th>stays_in_week_nights</th>\n",
       "      <th>adults</th>\n",
       "      <th>children</th>\n",
       "      <th>babies</th>\n",
       "      <th>meal</th>\n",
       "      <th>country</th>\n",
       "      <th>market_segment</th>\n",
       "      <th>distribution_channel</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <th>reserved_room_type</th>\n",
       "      <th>assigned_room_type</th>\n",
       "      <th>booking_changes</th>\n",
       "      <th>deposit_type</th>\n",
       "      <th>agent</th>\n",
       "      <th>company</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>customer_type</th>\n",
       "      <th>adr</th>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <th>reservation_status</th>\n",
       "      <th>reservation_status_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>342</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>3</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/1/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>737</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/1/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/2/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>304.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/2/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>240.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>98.00</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/3/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119385</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>23</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>30</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>BEL</td>\n",
       "      <td>Offline TA/TO</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>394.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>96.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/6/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119386</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>102</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>FRA</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>E</td>\n",
       "      <td>E</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>225.43</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/7/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119387</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>34</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>DEU</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>D</td>\n",
       "      <td>D</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>157.71</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/7/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119388</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>109</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>89.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>104.40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/7/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119389</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>205</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>29</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>HB</td>\n",
       "      <td>DEU</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>151.20</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/7/2017</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>119390 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               hotel  is_canceled  lead_time  arrival_date_year  \\\n",
       "0       Resort Hotel            0        342               2015   \n",
       "1       Resort Hotel            0        737               2015   \n",
       "2       Resort Hotel            0          7               2015   \n",
       "3       Resort Hotel            0         13               2015   \n",
       "4       Resort Hotel            0         14               2015   \n",
       "...              ...          ...        ...                ...   \n",
       "119385    City Hotel            0         23               2017   \n",
       "119386    City Hotel            0        102               2017   \n",
       "119387    City Hotel            0         34               2017   \n",
       "119388    City Hotel            0        109               2017   \n",
       "119389    City Hotel            0        205               2017   \n",
       "\n",
       "       arrival_date_month  arrival_date_week_number  \\\n",
       "0                    July                        27   \n",
       "1                    July                        27   \n",
       "2                    July                        27   \n",
       "3                    July                        27   \n",
       "4                    July                        27   \n",
       "...                   ...                       ...   \n",
       "119385             August                        35   \n",
       "119386             August                        35   \n",
       "119387             August                        35   \n",
       "119388             August                        35   \n",
       "119389             August                        35   \n",
       "\n",
       "        arrival_date_day_of_month  stays_in_weekend_nights  \\\n",
       "0                               1                        0   \n",
       "1                               1                        0   \n",
       "2                               1                        0   \n",
       "3                               1                        0   \n",
       "4                               1                        0   \n",
       "...                           ...                      ...   \n",
       "119385                         30                        2   \n",
       "119386                         31                        2   \n",
       "119387                         31                        2   \n",
       "119388                         31                        2   \n",
       "119389                         29                        2   \n",
       "\n",
       "        stays_in_week_nights  adults  children  babies meal country  \\\n",
       "0                          0       2       0.0       0   BB     PRT   \n",
       "1                          0       2       0.0       0   BB     PRT   \n",
       "2                          1       1       0.0       0   BB     GBR   \n",
       "3                          1       1       0.0       0   BB     GBR   \n",
       "4                          2       2       0.0       0   BB     GBR   \n",
       "...                      ...     ...       ...     ...  ...     ...   \n",
       "119385                     5       2       0.0       0   BB     BEL   \n",
       "119386                     5       3       0.0       0   BB     FRA   \n",
       "119387                     5       2       0.0       0   BB     DEU   \n",
       "119388                     5       2       0.0       0   BB     GBR   \n",
       "119389                     7       2       0.0       0   HB     DEU   \n",
       "\n",
       "       market_segment distribution_channel  is_repeated_guest  \\\n",
       "0              Direct               Direct                  0   \n",
       "1              Direct               Direct                  0   \n",
       "2              Direct               Direct                  0   \n",
       "3           Corporate            Corporate                  0   \n",
       "4           Online TA                TA/TO                  0   \n",
       "...               ...                  ...                ...   \n",
       "119385  Offline TA/TO                TA/TO                  0   \n",
       "119386      Online TA                TA/TO                  0   \n",
       "119387      Online TA                TA/TO                  0   \n",
       "119388      Online TA                TA/TO                  0   \n",
       "119389      Online TA                TA/TO                  0   \n",
       "\n",
       "        previous_cancellations  previous_bookings_not_canceled  \\\n",
       "0                            0                               0   \n",
       "1                            0                               0   \n",
       "2                            0                               0   \n",
       "3                            0                               0   \n",
       "4                            0                               0   \n",
       "...                        ...                             ...   \n",
       "119385                       0                               0   \n",
       "119386                       0                               0   \n",
       "119387                       0                               0   \n",
       "119388                       0                               0   \n",
       "119389                       0                               0   \n",
       "\n",
       "       reserved_room_type assigned_room_type  booking_changes deposit_type  \\\n",
       "0                       C                  C                3   No Deposit   \n",
       "1                       C                  C                4   No Deposit   \n",
       "2                       A                  C                0   No Deposit   \n",
       "3                       A                  A                0   No Deposit   \n",
       "4                       A                  A                0   No Deposit   \n",
       "...                   ...                ...              ...          ...   \n",
       "119385                  A                  A                0   No Deposit   \n",
       "119386                  E                  E                0   No Deposit   \n",
       "119387                  D                  D                0   No Deposit   \n",
       "119388                  A                  A                0   No Deposit   \n",
       "119389                  A                  A                0   No Deposit   \n",
       "\n",
       "        agent  company  days_in_waiting_list customer_type     adr  \\\n",
       "0         NaN      NaN                     0     Transient    0.00   \n",
       "1         NaN      NaN                     0     Transient    0.00   \n",
       "2         NaN      NaN                     0     Transient   75.00   \n",
       "3       304.0      NaN                     0     Transient   75.00   \n",
       "4       240.0      NaN                     0     Transient   98.00   \n",
       "...       ...      ...                   ...           ...     ...   \n",
       "119385  394.0      NaN                     0     Transient   96.14   \n",
       "119386    9.0      NaN                     0     Transient  225.43   \n",
       "119387    9.0      NaN                     0     Transient  157.71   \n",
       "119388   89.0      NaN                     0     Transient  104.40   \n",
       "119389    9.0      NaN                     0     Transient  151.20   \n",
       "\n",
       "        required_car_parking_spaces  total_of_special_requests  \\\n",
       "0                                 0                          0   \n",
       "1                                 0                          0   \n",
       "2                                 0                          0   \n",
       "3                                 0                          0   \n",
       "4                                 0                          1   \n",
       "...                             ...                        ...   \n",
       "119385                            0                          0   \n",
       "119386                            0                          2   \n",
       "119387                            0                          4   \n",
       "119388                            0                          0   \n",
       "119389                            0                          2   \n",
       "\n",
       "       reservation_status reservation_status_date  \n",
       "0               Check-Out                7/1/2015  \n",
       "1               Check-Out                7/1/2015  \n",
       "2               Check-Out                7/2/2015  \n",
       "3               Check-Out                7/2/2015  \n",
       "4               Check-Out                7/3/2015  \n",
       "...                   ...                     ...  \n",
       "119385          Check-Out                9/6/2017  \n",
       "119386          Check-Out                9/7/2017  \n",
       "119387          Check-Out                9/7/2017  \n",
       "119388          Check-Out                9/7/2017  \n",
       "119389          Check-Out                9/7/2017  \n",
       "\n",
       "[119390 rows x 32 columns]"
      ]
     },
     "execution_count": 354,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 355,
   "id": "5b9b3ccc-7315-41ea-95c7-58096f636c0c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 119390 entries, 0 to 119389\n",
      "Data columns (total 32 columns):\n",
      " #   Column                          Non-Null Count   Dtype  \n",
      "---  ------                          --------------   -----  \n",
      " 0   hotel                           119390 non-null  object \n",
      " 1   is_canceled                     119390 non-null  int64  \n",
      " 2   lead_time                       119390 non-null  int64  \n",
      " 3   arrival_date_year               119390 non-null  int64  \n",
      " 4   arrival_date_month              119390 non-null  object \n",
      " 5   arrival_date_week_number        119390 non-null  int64  \n",
      " 6   arrival_date_day_of_month       119390 non-null  int64  \n",
      " 7   stays_in_weekend_nights         119390 non-null  int64  \n",
      " 8   stays_in_week_nights            119390 non-null  int64  \n",
      " 9   adults                          119390 non-null  int64  \n",
      " 10  children                        119386 non-null  float64\n",
      " 11  babies                          119390 non-null  int64  \n",
      " 12  meal                            119390 non-null  object \n",
      " 13  country                         118902 non-null  object \n",
      " 14  market_segment                  119390 non-null  object \n",
      " 15  distribution_channel            119390 non-null  object \n",
      " 16  is_repeated_guest               119390 non-null  int64  \n",
      " 17  previous_cancellations          119390 non-null  int64  \n",
      " 18  previous_bookings_not_canceled  119390 non-null  int64  \n",
      " 19  reserved_room_type              119390 non-null  object \n",
      " 20  assigned_room_type              119390 non-null  object \n",
      " 21  booking_changes                 119390 non-null  int64  \n",
      " 22  deposit_type                    119390 non-null  object \n",
      " 23  agent                           103050 non-null  float64\n",
      " 24  company                         6797 non-null    float64\n",
      " 25  days_in_waiting_list            119390 non-null  int64  \n",
      " 26  customer_type                   119390 non-null  object \n",
      " 27  adr                             119390 non-null  float64\n",
      " 28  required_car_parking_spaces     119390 non-null  int64  \n",
      " 29  total_of_special_requests       119390 non-null  int64  \n",
      " 30  reservation_status              119390 non-null  object \n",
      " 31  reservation_status_date         119390 non-null  object \n",
      "dtypes: float64(4), int64(16), object(12)\n",
      "memory usage: 29.1+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 356,
   "id": "3591c8ee-641b-4cf0-a524-f4c95944ad39",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(119390, 32)"
      ]
     },
     "execution_count": 356,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 357,
   "id": "dc6f8c09-f94d-4480-bea2-38b90ad4829e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.reservation_status_date = pd.to_datetime(df.reservation_status_date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 358,
   "id": "a6a841eb-3c04-46dd-95cd-2be79086eb17",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.arrival_date_week_number[15],df.arrival_date_month[15],df.arrival_date_year[15],df.reservation_status_date[15]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 359,
   "id": "97230a34-5a62-4cdf-9f5a-a6e0eb21cb4a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.drop('arrival_date_week_number',axis=1,inplace= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 360,
   "id": "24b7444d-4d2c-4145-a655-5084544840fe",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 361,
   "id": "de4a0139-b7bd-4211-aa32-0d046b85c649",
   "metadata": {},
   "outputs": [],
   "source": [
    "# total_stays = []\n",
    "# for index,value in enumerate(df.stays_in_week_nights):\n",
    "#     total_stays.append(df.stays_in_week_nights[index]+df.stays_in_weekend_nights[index])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 362,
   "id": "4c05317d-8bc4-4d89-8d63-661e748fe9d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df['total_stays'] = total_stays"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 363,
   "id": "1aa7fbae-e676-4ed7-acda-eca52cb734f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 364,
   "id": "4eea4f82-f7da-4dfc-8ec1-9dcd79f951f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df[['stays_in_weekend_nights','stays_in_week_nights','total_stays']][:50]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 365,
   "id": "5835cdd0-ebf4-4ab4-a65f-e266250d0786",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.drop(['stays_in_weekend_nights','stays_in_week_nights'],axis=1, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 366,
   "id": "e24882a3-7800-4d50-ab08-05adcd6a4714",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df[['arrival_date_year', 'arrival_date_month', 'arrival_date_day_of_month']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 367,
   "id": "47f0464d-236e-43e1-8a0e-7e137d669256",
   "metadata": {},
   "outputs": [],
   "source": [
    "# arrival_date = []\n",
    "# for i in range(df.shape[0]):\n",
    "#     arrival_date.append(str(df.arrival_date_year[i])+\" \"+str(df.arrival_date_month[i])+\" \"+str(df.arrival_date_day_of_month[i]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 368,
   "id": "e362d854-8f4e-4e73-b3ea-2183a389a239",
   "metadata": {},
   "outputs": [],
   "source": [
    "# arrival_date = pd.to_datetime(arrival_date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 369,
   "id": "84f862ae-fba8-4e0f-ab46-a51d1ce9082c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df['arrival_date']= arrival_date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 370,
   "id": "7fedb9de-3c99-4ace-bfb1-ed90e3ba3132",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 371,
   "id": "6d47c490-48cd-47d5-88a2-2f47a3ea0730",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.drop(['arrival_date_year', 'arrival_date_month', 'arrival_date_day_of_month'],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1b58dff3-5282-43e7-918e-64a5805a9e91",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 372,
   "id": "fe869f9b-d042-49d7-9491-97a7559d1cb2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 373,
   "id": "3b6bf329-1e45-4b20-a710-cd3abb11b35b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.children.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 374,
   "id": "fc8c7d1d-89db-492f-b088-125009299ad5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.children.mode()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 375,
   "id": "604f9b0f-e9f6-41f0-8b46-b4f0f24b0fed",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.children.fillna(0,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 376,
   "id": "6f986aee-4978-4b36-a1d6-d6a460b4c46c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 377,
   "id": "0bf575db-ec56-405c-9662-9ee42978c9de",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.drop(['company'],axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 378,
   "id": "a72da0e0-7298-4724-9a95-03f1e9c83088",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 379,
   "id": "af0dd881-3d99-4406-b233-0c182644f265",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.country.fillna(' ',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 380,
   "id": "d6620e53-e79b-49e0-af96-65312c772133",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 381,
   "id": "18af0675-ba39-4e9c-8eff-9cfa2001cceb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.agent.fillna(0.0,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 382,
   "id": "4065f781-a0a8-4eea-b213-a0484a9597b0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.agent = df['agent'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 383,
   "id": "a69b03d2-94f4-4b3c-b601-90e7031286ae",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 384,
   "id": "a1696164-7c64-489c-9c79-608bb93e7ca8",
   "metadata": {},
   "outputs": [],
   "source": [
    "filter1 = (df.children==0) & (df.adults==0) & (df.babies==0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 385,
   "id": "26990d7f-1482-4646-9685-3b897c779748",
   "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>hotel</th>\n",
       "      <th>is_canceled</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_date_year</th>\n",
       "      <th>arrival_date_month</th>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "      <th>stays_in_weekend_nights</th>\n",
       "      <th>stays_in_week_nights</th>\n",
       "      <th>adults</th>\n",
       "      <th>children</th>\n",
       "      <th>babies</th>\n",
       "      <th>meal</th>\n",
       "      <th>country</th>\n",
       "      <th>market_segment</th>\n",
       "      <th>distribution_channel</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <th>reserved_room_type</th>\n",
       "      <th>assigned_room_type</th>\n",
       "      <th>booking_changes</th>\n",
       "      <th>deposit_type</th>\n",
       "      <th>agent</th>\n",
       "      <th>company</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>customer_type</th>\n",
       "      <th>adr</th>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <th>reservation_status</th>\n",
       "      <th>reservation_status_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2224</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2015</td>\n",
       "      <td>October</td>\n",
       "      <td>41</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>SC</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>I</td>\n",
       "      <td>1</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>174.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient-Party</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>10/6/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2409</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2015</td>\n",
       "      <td>October</td>\n",
       "      <td>42</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>SC</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>I</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>174.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>10/12/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3181</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
       "      <td>2015</td>\n",
       "      <td>November</td>\n",
       "      <td>47</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>SC</td>\n",
       "      <td>ESP</td>\n",
       "      <td>Groups</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient-Party</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>11/23/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3684</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>165</td>\n",
       "      <td>2015</td>\n",
       "      <td>December</td>\n",
       "      <td>53</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>SC</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Groups</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>1</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>308.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>122</td>\n",
       "      <td>Transient-Party</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>1/4/2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3708</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>165</td>\n",
       "      <td>2015</td>\n",
       "      <td>December</td>\n",
       "      <td>53</td>\n",
       "      <td>30</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>SC</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Groups</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>1</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>308.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>122</td>\n",
       "      <td>Transient-Party</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>1/5/2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115029</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>107</td>\n",
       "      <td>2017</td>\n",
       "      <td>June</td>\n",
       "      <td>26</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>CHE</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>1</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>100.80</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>6/30/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115091</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2017</td>\n",
       "      <td>June</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>SC</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Complementary</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>E</td>\n",
       "      <td>K</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/1/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116251</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>44</td>\n",
       "      <td>2017</td>\n",
       "      <td>July</td>\n",
       "      <td>28</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>SC</td>\n",
       "      <td>SWE</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>K</td>\n",
       "      <td>2</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>425.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>73.80</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/17/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116534</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2017</td>\n",
       "      <td>July</td>\n",
       "      <td>28</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>SC</td>\n",
       "      <td>RUS</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>K</td>\n",
       "      <td>1</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient-Party</td>\n",
       "      <td>22.86</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/22/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117087</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>170</td>\n",
       "      <td>2017</td>\n",
       "      <td>July</td>\n",
       "      <td>30</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>BRA</td>\n",
       "      <td>Offline TA/TO</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>52.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/29/2017</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>180 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               hotel  is_canceled  lead_time  arrival_date_year  \\\n",
       "2224    Resort Hotel            0          1               2015   \n",
       "2409    Resort Hotel            0          0               2015   \n",
       "3181    Resort Hotel            0         36               2015   \n",
       "3684    Resort Hotel            0        165               2015   \n",
       "3708    Resort Hotel            0        165               2015   \n",
       "...              ...          ...        ...                ...   \n",
       "115029    City Hotel            0        107               2017   \n",
       "115091    City Hotel            0          1               2017   \n",
       "116251    City Hotel            0         44               2017   \n",
       "116534    City Hotel            0          2               2017   \n",
       "117087    City Hotel            0        170               2017   \n",
       "\n",
       "       arrival_date_month  arrival_date_week_number  \\\n",
       "2224              October                        41   \n",
       "2409              October                        42   \n",
       "3181             November                        47   \n",
       "3684             December                        53   \n",
       "3708             December                        53   \n",
       "...                   ...                       ...   \n",
       "115029               June                        26   \n",
       "115091               June                        26   \n",
       "116251               July                        28   \n",
       "116534               July                        28   \n",
       "117087               July                        30   \n",
       "\n",
       "        arrival_date_day_of_month  stays_in_weekend_nights  \\\n",
       "2224                            6                        0   \n",
       "2409                           12                        0   \n",
       "3181                           20                        1   \n",
       "3684                           30                        1   \n",
       "3708                           30                        2   \n",
       "...                           ...                      ...   \n",
       "115029                         27                        0   \n",
       "115091                         30                        0   \n",
       "116251                         15                        1   \n",
       "116534                         15                        2   \n",
       "117087                         27                        0   \n",
       "\n",
       "        stays_in_week_nights  adults  children  babies meal country  \\\n",
       "2224                       3       0       0.0       0   SC     PRT   \n",
       "2409                       0       0       0.0       0   SC     PRT   \n",
       "3181                       2       0       0.0       0   SC     ESP   \n",
       "3684                       4       0       0.0       0   SC     PRT   \n",
       "3708                       4       0       0.0       0   SC     PRT   \n",
       "...                      ...     ...       ...     ...  ...     ...   \n",
       "115029                     3       0       0.0       0   BB     CHE   \n",
       "115091                     1       0       0.0       0   SC     PRT   \n",
       "116251                     1       0       0.0       0   SC     SWE   \n",
       "116534                     5       0       0.0       0   SC     RUS   \n",
       "117087                     2       0       0.0       0   BB     BRA   \n",
       "\n",
       "       market_segment distribution_channel  is_repeated_guest  \\\n",
       "2224        Corporate            Corporate                  0   \n",
       "2409        Corporate            Corporate                  0   \n",
       "3181           Groups                TA/TO                  0   \n",
       "3684           Groups                TA/TO                  0   \n",
       "3708           Groups                TA/TO                  0   \n",
       "...               ...                  ...                ...   \n",
       "115029      Online TA                TA/TO                  0   \n",
       "115091  Complementary               Direct                  0   \n",
       "116251      Online TA                TA/TO                  0   \n",
       "116534      Online TA                TA/TO                  0   \n",
       "117087  Offline TA/TO                TA/TO                  0   \n",
       "\n",
       "        previous_cancellations  previous_bookings_not_canceled  \\\n",
       "2224                         0                               0   \n",
       "2409                         0                               0   \n",
       "3181                         0                               0   \n",
       "3684                         0                               0   \n",
       "3708                         0                               0   \n",
       "...                        ...                             ...   \n",
       "115029                       0                               0   \n",
       "115091                       0                               0   \n",
       "116251                       0                               0   \n",
       "116534                       0                               0   \n",
       "117087                       0                               0   \n",
       "\n",
       "       reserved_room_type assigned_room_type  booking_changes deposit_type  \\\n",
       "2224                    A                  I                1   No Deposit   \n",
       "2409                    A                  I                0   No Deposit   \n",
       "3181                    A                  C                0   No Deposit   \n",
       "3684                    A                  A                1   No Deposit   \n",
       "3708                    A                  C                1   No Deposit   \n",
       "...                   ...                ...              ...          ...   \n",
       "115029                  A                  A                1   No Deposit   \n",
       "115091                  E                  K                0   No Deposit   \n",
       "116251                  A                  K                2   No Deposit   \n",
       "116534                  A                  K                1   No Deposit   \n",
       "117087                  A                  A                0   No Deposit   \n",
       "\n",
       "        agent  company  days_in_waiting_list    customer_type     adr  \\\n",
       "2224      NaN    174.0                     0  Transient-Party    0.00   \n",
       "2409      NaN    174.0                     0        Transient    0.00   \n",
       "3181     38.0      NaN                     0  Transient-Party    0.00   \n",
       "3684    308.0      NaN                   122  Transient-Party    0.00   \n",
       "3708    308.0      NaN                   122  Transient-Party    0.00   \n",
       "...       ...      ...                   ...              ...     ...   \n",
       "115029    7.0      NaN                     0        Transient  100.80   \n",
       "115091    NaN      NaN                     0        Transient    0.00   \n",
       "116251  425.0      NaN                     0        Transient   73.80   \n",
       "116534    9.0      NaN                     0  Transient-Party   22.86   \n",
       "117087   52.0      NaN                     0        Transient    0.00   \n",
       "\n",
       "        required_car_parking_spaces  total_of_special_requests  \\\n",
       "2224                              0                          0   \n",
       "2409                              0                          0   \n",
       "3181                              0                          0   \n",
       "3684                              0                          0   \n",
       "3708                              0                          0   \n",
       "...                             ...                        ...   \n",
       "115029                            0                          0   \n",
       "115091                            1                          1   \n",
       "116251                            0                          0   \n",
       "116534                            0                          1   \n",
       "117087                            0                          0   \n",
       "\n",
       "       reservation_status reservation_status_date  \n",
       "2224            Check-Out               10/6/2015  \n",
       "2409            Check-Out              10/12/2015  \n",
       "3181            Check-Out              11/23/2015  \n",
       "3684            Check-Out                1/4/2016  \n",
       "3708            Check-Out                1/5/2016  \n",
       "...                   ...                     ...  \n",
       "115029          Check-Out               6/30/2017  \n",
       "115091          Check-Out                7/1/2017  \n",
       "116251          Check-Out               7/17/2017  \n",
       "116534          Check-Out               7/22/2017  \n",
       "117087          Check-Out               7/29/2017  \n",
       "\n",
       "[180 rows x 32 columns]"
      ]
     },
     "execution_count": 385,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[filter1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 386,
   "id": "f04bebb3-a8e5-4492-9b7e-3ddc8021bb89",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df[~filter1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 387,
   "id": "91654ba2-78cd-4f51-bfc2-597c78378e30",
   "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>hotel</th>\n",
       "      <th>is_canceled</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_date_year</th>\n",
       "      <th>arrival_date_month</th>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "      <th>stays_in_weekend_nights</th>\n",
       "      <th>stays_in_week_nights</th>\n",
       "      <th>adults</th>\n",
       "      <th>children</th>\n",
       "      <th>babies</th>\n",
       "      <th>meal</th>\n",
       "      <th>country</th>\n",
       "      <th>market_segment</th>\n",
       "      <th>distribution_channel</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <th>reserved_room_type</th>\n",
       "      <th>assigned_room_type</th>\n",
       "      <th>booking_changes</th>\n",
       "      <th>deposit_type</th>\n",
       "      <th>agent</th>\n",
       "      <th>company</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>customer_type</th>\n",
       "      <th>adr</th>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <th>reservation_status</th>\n",
       "      <th>reservation_status_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>342</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>3</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/1/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>737</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/1/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/2/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>304.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/2/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>240.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>98.00</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/3/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119385</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>23</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>30</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>BEL</td>\n",
       "      <td>Offline TA/TO</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>394.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>96.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/6/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119386</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>102</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>FRA</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>E</td>\n",
       "      <td>E</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>225.43</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/7/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119387</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>34</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>DEU</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>D</td>\n",
       "      <td>D</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>157.71</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/7/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119388</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>109</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>89.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>104.40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/7/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119389</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>205</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>29</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>HB</td>\n",
       "      <td>DEU</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>151.20</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/7/2017</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>119210 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               hotel  is_canceled  lead_time  arrival_date_year  \\\n",
       "0       Resort Hotel            0        342               2015   \n",
       "1       Resort Hotel            0        737               2015   \n",
       "2       Resort Hotel            0          7               2015   \n",
       "3       Resort Hotel            0         13               2015   \n",
       "4       Resort Hotel            0         14               2015   \n",
       "...              ...          ...        ...                ...   \n",
       "119385    City Hotel            0         23               2017   \n",
       "119386    City Hotel            0        102               2017   \n",
       "119387    City Hotel            0         34               2017   \n",
       "119388    City Hotel            0        109               2017   \n",
       "119389    City Hotel            0        205               2017   \n",
       "\n",
       "       arrival_date_month  arrival_date_week_number  \\\n",
       "0                    July                        27   \n",
       "1                    July                        27   \n",
       "2                    July                        27   \n",
       "3                    July                        27   \n",
       "4                    July                        27   \n",
       "...                   ...                       ...   \n",
       "119385             August                        35   \n",
       "119386             August                        35   \n",
       "119387             August                        35   \n",
       "119388             August                        35   \n",
       "119389             August                        35   \n",
       "\n",
       "        arrival_date_day_of_month  stays_in_weekend_nights  \\\n",
       "0                               1                        0   \n",
       "1                               1                        0   \n",
       "2                               1                        0   \n",
       "3                               1                        0   \n",
       "4                               1                        0   \n",
       "...                           ...                      ...   \n",
       "119385                         30                        2   \n",
       "119386                         31                        2   \n",
       "119387                         31                        2   \n",
       "119388                         31                        2   \n",
       "119389                         29                        2   \n",
       "\n",
       "        stays_in_week_nights  adults  children  babies meal country  \\\n",
       "0                          0       2       0.0       0   BB     PRT   \n",
       "1                          0       2       0.0       0   BB     PRT   \n",
       "2                          1       1       0.0       0   BB     GBR   \n",
       "3                          1       1       0.0       0   BB     GBR   \n",
       "4                          2       2       0.0       0   BB     GBR   \n",
       "...                      ...     ...       ...     ...  ...     ...   \n",
       "119385                     5       2       0.0       0   BB     BEL   \n",
       "119386                     5       3       0.0       0   BB     FRA   \n",
       "119387                     5       2       0.0       0   BB     DEU   \n",
       "119388                     5       2       0.0       0   BB     GBR   \n",
       "119389                     7       2       0.0       0   HB     DEU   \n",
       "\n",
       "       market_segment distribution_channel  is_repeated_guest  \\\n",
       "0              Direct               Direct                  0   \n",
       "1              Direct               Direct                  0   \n",
       "2              Direct               Direct                  0   \n",
       "3           Corporate            Corporate                  0   \n",
       "4           Online TA                TA/TO                  0   \n",
       "...               ...                  ...                ...   \n",
       "119385  Offline TA/TO                TA/TO                  0   \n",
       "119386      Online TA                TA/TO                  0   \n",
       "119387      Online TA                TA/TO                  0   \n",
       "119388      Online TA                TA/TO                  0   \n",
       "119389      Online TA                TA/TO                  0   \n",
       "\n",
       "        previous_cancellations  previous_bookings_not_canceled  \\\n",
       "0                            0                               0   \n",
       "1                            0                               0   \n",
       "2                            0                               0   \n",
       "3                            0                               0   \n",
       "4                            0                               0   \n",
       "...                        ...                             ...   \n",
       "119385                       0                               0   \n",
       "119386                       0                               0   \n",
       "119387                       0                               0   \n",
       "119388                       0                               0   \n",
       "119389                       0                               0   \n",
       "\n",
       "       reserved_room_type assigned_room_type  booking_changes deposit_type  \\\n",
       "0                       C                  C                3   No Deposit   \n",
       "1                       C                  C                4   No Deposit   \n",
       "2                       A                  C                0   No Deposit   \n",
       "3                       A                  A                0   No Deposit   \n",
       "4                       A                  A                0   No Deposit   \n",
       "...                   ...                ...              ...          ...   \n",
       "119385                  A                  A                0   No Deposit   \n",
       "119386                  E                  E                0   No Deposit   \n",
       "119387                  D                  D                0   No Deposit   \n",
       "119388                  A                  A                0   No Deposit   \n",
       "119389                  A                  A                0   No Deposit   \n",
       "\n",
       "        agent  company  days_in_waiting_list customer_type     adr  \\\n",
       "0         NaN      NaN                     0     Transient    0.00   \n",
       "1         NaN      NaN                     0     Transient    0.00   \n",
       "2         NaN      NaN                     0     Transient   75.00   \n",
       "3       304.0      NaN                     0     Transient   75.00   \n",
       "4       240.0      NaN                     0     Transient   98.00   \n",
       "...       ...      ...                   ...           ...     ...   \n",
       "119385  394.0      NaN                     0     Transient   96.14   \n",
       "119386    9.0      NaN                     0     Transient  225.43   \n",
       "119387    9.0      NaN                     0     Transient  157.71   \n",
       "119388   89.0      NaN                     0     Transient  104.40   \n",
       "119389    9.0      NaN                     0     Transient  151.20   \n",
       "\n",
       "        required_car_parking_spaces  total_of_special_requests  \\\n",
       "0                                 0                          0   \n",
       "1                                 0                          0   \n",
       "2                                 0                          0   \n",
       "3                                 0                          0   \n",
       "4                                 0                          1   \n",
       "...                             ...                        ...   \n",
       "119385                            0                          0   \n",
       "119386                            0                          2   \n",
       "119387                            0                          4   \n",
       "119388                            0                          0   \n",
       "119389                            0                          2   \n",
       "\n",
       "       reservation_status reservation_status_date  \n",
       "0               Check-Out                7/1/2015  \n",
       "1               Check-Out                7/1/2015  \n",
       "2               Check-Out                7/2/2015  \n",
       "3               Check-Out                7/2/2015  \n",
       "4               Check-Out                7/3/2015  \n",
       "...                   ...                     ...  \n",
       "119385          Check-Out                9/6/2017  \n",
       "119386          Check-Out                9/7/2017  \n",
       "119387          Check-Out                9/7/2017  \n",
       "119388          Check-Out                9/7/2017  \n",
       "119389          Check-Out                9/7/2017  \n",
       "\n",
       "[119210 rows x 32 columns]"
      ]
     },
     "execution_count": 387,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 388,
   "id": "ec1e876d-c279-4b11-b2db-6e0a9502aca3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "31980"
      ]
     },
     "execution_count": 388,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 389,
   "id": "30ccaba3-b408-4c64-9ca5-8317e037c121",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = df.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 390,
   "id": "00ac6e25-80ae-4191-ad2a-cfab881cc519",
   "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>hotel</th>\n",
       "      <th>is_canceled</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_date_year</th>\n",
       "      <th>arrival_date_month</th>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "      <th>stays_in_weekend_nights</th>\n",
       "      <th>stays_in_week_nights</th>\n",
       "      <th>adults</th>\n",
       "      <th>children</th>\n",
       "      <th>babies</th>\n",
       "      <th>meal</th>\n",
       "      <th>country</th>\n",
       "      <th>market_segment</th>\n",
       "      <th>distribution_channel</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <th>reserved_room_type</th>\n",
       "      <th>assigned_room_type</th>\n",
       "      <th>booking_changes</th>\n",
       "      <th>deposit_type</th>\n",
       "      <th>agent</th>\n",
       "      <th>company</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>customer_type</th>\n",
       "      <th>adr</th>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <th>reservation_status</th>\n",
       "      <th>reservation_status_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>342</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>3</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/1/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>737</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/1/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/2/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>304.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/2/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>240.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>98.00</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/3/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119385</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>23</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>30</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>BEL</td>\n",
       "      <td>Offline TA/TO</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>394.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>96.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/6/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119386</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>102</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>FRA</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>E</td>\n",
       "      <td>E</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>225.43</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/7/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119387</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>34</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>DEU</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>D</td>\n",
       "      <td>D</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>157.71</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/7/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119388</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>109</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>89.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>104.40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/7/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119389</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>205</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>29</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>HB</td>\n",
       "      <td>DEU</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>151.20</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/7/2017</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>87230 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               hotel  is_canceled  lead_time  arrival_date_year  \\\n",
       "0       Resort Hotel            0        342               2015   \n",
       "1       Resort Hotel            0        737               2015   \n",
       "2       Resort Hotel            0          7               2015   \n",
       "3       Resort Hotel            0         13               2015   \n",
       "4       Resort Hotel            0         14               2015   \n",
       "...              ...          ...        ...                ...   \n",
       "119385    City Hotel            0         23               2017   \n",
       "119386    City Hotel            0        102               2017   \n",
       "119387    City Hotel            0         34               2017   \n",
       "119388    City Hotel            0        109               2017   \n",
       "119389    City Hotel            0        205               2017   \n",
       "\n",
       "       arrival_date_month  arrival_date_week_number  \\\n",
       "0                    July                        27   \n",
       "1                    July                        27   \n",
       "2                    July                        27   \n",
       "3                    July                        27   \n",
       "4                    July                        27   \n",
       "...                   ...                       ...   \n",
       "119385             August                        35   \n",
       "119386             August                        35   \n",
       "119387             August                        35   \n",
       "119388             August                        35   \n",
       "119389             August                        35   \n",
       "\n",
       "        arrival_date_day_of_month  stays_in_weekend_nights  \\\n",
       "0                               1                        0   \n",
       "1                               1                        0   \n",
       "2                               1                        0   \n",
       "3                               1                        0   \n",
       "4                               1                        0   \n",
       "...                           ...                      ...   \n",
       "119385                         30                        2   \n",
       "119386                         31                        2   \n",
       "119387                         31                        2   \n",
       "119388                         31                        2   \n",
       "119389                         29                        2   \n",
       "\n",
       "        stays_in_week_nights  adults  children  babies meal country  \\\n",
       "0                          0       2       0.0       0   BB     PRT   \n",
       "1                          0       2       0.0       0   BB     PRT   \n",
       "2                          1       1       0.0       0   BB     GBR   \n",
       "3                          1       1       0.0       0   BB     GBR   \n",
       "4                          2       2       0.0       0   BB     GBR   \n",
       "...                      ...     ...       ...     ...  ...     ...   \n",
       "119385                     5       2       0.0       0   BB     BEL   \n",
       "119386                     5       3       0.0       0   BB     FRA   \n",
       "119387                     5       2       0.0       0   BB     DEU   \n",
       "119388                     5       2       0.0       0   BB     GBR   \n",
       "119389                     7       2       0.0       0   HB     DEU   \n",
       "\n",
       "       market_segment distribution_channel  is_repeated_guest  \\\n",
       "0              Direct               Direct                  0   \n",
       "1              Direct               Direct                  0   \n",
       "2              Direct               Direct                  0   \n",
       "3           Corporate            Corporate                  0   \n",
       "4           Online TA                TA/TO                  0   \n",
       "...               ...                  ...                ...   \n",
       "119385  Offline TA/TO                TA/TO                  0   \n",
       "119386      Online TA                TA/TO                  0   \n",
       "119387      Online TA                TA/TO                  0   \n",
       "119388      Online TA                TA/TO                  0   \n",
       "119389      Online TA                TA/TO                  0   \n",
       "\n",
       "        previous_cancellations  previous_bookings_not_canceled  \\\n",
       "0                            0                               0   \n",
       "1                            0                               0   \n",
       "2                            0                               0   \n",
       "3                            0                               0   \n",
       "4                            0                               0   \n",
       "...                        ...                             ...   \n",
       "119385                       0                               0   \n",
       "119386                       0                               0   \n",
       "119387                       0                               0   \n",
       "119388                       0                               0   \n",
       "119389                       0                               0   \n",
       "\n",
       "       reserved_room_type assigned_room_type  booking_changes deposit_type  \\\n",
       "0                       C                  C                3   No Deposit   \n",
       "1                       C                  C                4   No Deposit   \n",
       "2                       A                  C                0   No Deposit   \n",
       "3                       A                  A                0   No Deposit   \n",
       "4                       A                  A                0   No Deposit   \n",
       "...                   ...                ...              ...          ...   \n",
       "119385                  A                  A                0   No Deposit   \n",
       "119386                  E                  E                0   No Deposit   \n",
       "119387                  D                  D                0   No Deposit   \n",
       "119388                  A                  A                0   No Deposit   \n",
       "119389                  A                  A                0   No Deposit   \n",
       "\n",
       "        agent  company  days_in_waiting_list customer_type     adr  \\\n",
       "0         NaN      NaN                     0     Transient    0.00   \n",
       "1         NaN      NaN                     0     Transient    0.00   \n",
       "2         NaN      NaN                     0     Transient   75.00   \n",
       "3       304.0      NaN                     0     Transient   75.00   \n",
       "4       240.0      NaN                     0     Transient   98.00   \n",
       "...       ...      ...                   ...           ...     ...   \n",
       "119385  394.0      NaN                     0     Transient   96.14   \n",
       "119386    9.0      NaN                     0     Transient  225.43   \n",
       "119387    9.0      NaN                     0     Transient  157.71   \n",
       "119388   89.0      NaN                     0     Transient  104.40   \n",
       "119389    9.0      NaN                     0     Transient  151.20   \n",
       "\n",
       "        required_car_parking_spaces  total_of_special_requests  \\\n",
       "0                                 0                          0   \n",
       "1                                 0                          0   \n",
       "2                                 0                          0   \n",
       "3                                 0                          0   \n",
       "4                                 0                          1   \n",
       "...                             ...                        ...   \n",
       "119385                            0                          0   \n",
       "119386                            0                          2   \n",
       "119387                            0                          4   \n",
       "119388                            0                          0   \n",
       "119389                            0                          2   \n",
       "\n",
       "       reservation_status reservation_status_date  \n",
       "0               Check-Out                7/1/2015  \n",
       "1               Check-Out                7/1/2015  \n",
       "2               Check-Out                7/2/2015  \n",
       "3               Check-Out                7/2/2015  \n",
       "4               Check-Out                7/3/2015  \n",
       "...                   ...                     ...  \n",
       "119385          Check-Out                9/6/2017  \n",
       "119386          Check-Out                9/7/2017  \n",
       "119387          Check-Out                9/7/2017  \n",
       "119388          Check-Out                9/7/2017  \n",
       "119389          Check-Out                9/7/2017  \n",
       "\n",
       "[87230 rows x 32 columns]"
      ]
     },
     "execution_count": 390,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 391,
   "id": "66760d11-f0c6-4a26-929d-e8125bbcf672",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 87230 entries, 0 to 119389\n",
      "Data columns (total 32 columns):\n",
      " #   Column                          Non-Null Count  Dtype  \n",
      "---  ------                          --------------  -----  \n",
      " 0   hotel                           87230 non-null  object \n",
      " 1   is_canceled                     87230 non-null  int64  \n",
      " 2   lead_time                       87230 non-null  int64  \n",
      " 3   arrival_date_year               87230 non-null  int64  \n",
      " 4   arrival_date_month              87230 non-null  object \n",
      " 5   arrival_date_week_number        87230 non-null  int64  \n",
      " 6   arrival_date_day_of_month       87230 non-null  int64  \n",
      " 7   stays_in_weekend_nights         87230 non-null  int64  \n",
      " 8   stays_in_week_nights            87230 non-null  int64  \n",
      " 9   adults                          87230 non-null  int64  \n",
      " 10  children                        87226 non-null  float64\n",
      " 11  babies                          87230 non-null  int64  \n",
      " 12  meal                            87230 non-null  object \n",
      " 13  country                         86783 non-null  object \n",
      " 14  market_segment                  87230 non-null  object \n",
      " 15  distribution_channel            87230 non-null  object \n",
      " 16  is_repeated_guest               87230 non-null  int64  \n",
      " 17  previous_cancellations          87230 non-null  int64  \n",
      " 18  previous_bookings_not_canceled  87230 non-null  int64  \n",
      " 19  reserved_room_type              87230 non-null  object \n",
      " 20  assigned_room_type              87230 non-null  object \n",
      " 21  booking_changes                 87230 non-null  int64  \n",
      " 22  deposit_type                    87230 non-null  object \n",
      " 23  agent                           75089 non-null  float64\n",
      " 24  company                         5237 non-null   float64\n",
      " 25  days_in_waiting_list            87230 non-null  int64  \n",
      " 26  customer_type                   87230 non-null  object \n",
      " 27  adr                             87230 non-null  float64\n",
      " 28  required_car_parking_spaces     87230 non-null  int64  \n",
      " 29  total_of_special_requests       87230 non-null  int64  \n",
      " 30  reservation_status              87230 non-null  object \n",
      " 31  reservation_status_date         87230 non-null  object \n",
      "dtypes: float64(4), int64(16), object(12)\n",
      "memory usage: 22.0+ MB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d45e2f31-c6b5-4cc5-9a1a-77cf8c0e0384",
   "metadata": {},
   "source": [
    "##### Perform Descriptive Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 392,
   "id": "e15c36bc-ce69-48d5-8b00-9b9b8383957c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>is_canceled</th>\n",
       "      <td>87230.0</td>\n",
       "      <td>0.275238</td>\n",
       "      <td>0.446637</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lead_time</th>\n",
       "      <td>87230.0</td>\n",
       "      <td>79.971019</td>\n",
       "      <td>86.058683</td>\n",
       "      <td>0.00</td>\n",
       "      <td>11.00</td>\n",
       "      <td>49.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>737.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>arrival_date_year</th>\n",
       "      <td>87230.0</td>\n",
       "      <td>2016.210352</td>\n",
       "      <td>0.686064</td>\n",
       "      <td>2015.00</td>\n",
       "      <td>2016.00</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>2017.0</td>\n",
       "      <td>2017.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <td>87230.0</td>\n",
       "      <td>26.835091</td>\n",
       "      <td>13.669216</td>\n",
       "      <td>1.00</td>\n",
       "      <td>16.00</td>\n",
       "      <td>27.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>53.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "      <td>87230.0</td>\n",
       "      <td>15.815832</td>\n",
       "      <td>8.835545</td>\n",
       "      <td>1.00</td>\n",
       "      <td>8.00</td>\n",
       "      <td>16.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>31.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stays_in_weekend_nights</th>\n",
       "      <td>87230.0</td>\n",
       "      <td>1.004609</td>\n",
       "      <td>1.027408</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stays_in_week_nights</th>\n",
       "      <td>87230.0</td>\n",
       "      <td>2.623925</td>\n",
       "      <td>2.039830</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>adults</th>\n",
       "      <td>87230.0</td>\n",
       "      <td>1.879365</td>\n",
       "      <td>0.621724</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>children</th>\n",
       "      <td>87226.0</td>\n",
       "      <td>0.138904</td>\n",
       "      <td>0.456274</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>babies</th>\n",
       "      <td>87230.0</td>\n",
       "      <td>0.010845</td>\n",
       "      <td>0.113704</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <td>87230.0</td>\n",
       "      <td>0.038565</td>\n",
       "      <td>0.192556</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>previous_cancellations</th>\n",
       "      <td>87230.0</td>\n",
       "      <td>0.030402</td>\n",
       "      <td>0.369344</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <td>87230.0</td>\n",
       "      <td>0.184054</td>\n",
       "      <td>1.733033</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>72.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>booking_changes</th>\n",
       "      <td>87230.0</td>\n",
       "      <td>0.268497</td>\n",
       "      <td>0.710633</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agent</th>\n",
       "      <td>75089.0</td>\n",
       "      <td>94.200429</td>\n",
       "      <td>113.205767</td>\n",
       "      <td>1.00</td>\n",
       "      <td>9.00</td>\n",
       "      <td>14.0</td>\n",
       "      <td>240.0</td>\n",
       "      <td>535.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>company</th>\n",
       "      <td>5237.0</td>\n",
       "      <td>182.970594</td>\n",
       "      <td>130.486644</td>\n",
       "      <td>6.00</td>\n",
       "      <td>47.00</td>\n",
       "      <td>169.0</td>\n",
       "      <td>263.0</td>\n",
       "      <td>543.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <td>87230.0</td>\n",
       "      <td>0.746291</td>\n",
       "      <td>10.001001</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>391.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>adr</th>\n",
       "      <td>87230.0</td>\n",
       "      <td>106.518031</td>\n",
       "      <td>54.891227</td>\n",
       "      <td>-6.38</td>\n",
       "      <td>72.25</td>\n",
       "      <td>98.2</td>\n",
       "      <td>134.1</td>\n",
       "      <td>5400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <td>87230.0</td>\n",
       "      <td>0.084306</td>\n",
       "      <td>0.281659</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <td>87230.0</td>\n",
       "      <td>0.698934</td>\n",
       "      <td>0.832051</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  count         mean         std      min  \\\n",
       "is_canceled                     87230.0     0.275238    0.446637     0.00   \n",
       "lead_time                       87230.0    79.971019   86.058683     0.00   \n",
       "arrival_date_year               87230.0  2016.210352    0.686064  2015.00   \n",
       "arrival_date_week_number        87230.0    26.835091   13.669216     1.00   \n",
       "arrival_date_day_of_month       87230.0    15.815832    8.835545     1.00   \n",
       "stays_in_weekend_nights         87230.0     1.004609    1.027408     0.00   \n",
       "stays_in_week_nights            87230.0     2.623925    2.039830     0.00   \n",
       "adults                          87230.0     1.879365    0.621724     0.00   \n",
       "children                        87226.0     0.138904    0.456274     0.00   \n",
       "babies                          87230.0     0.010845    0.113704     0.00   \n",
       "is_repeated_guest               87230.0     0.038565    0.192556     0.00   \n",
       "previous_cancellations          87230.0     0.030402    0.369344     0.00   \n",
       "previous_bookings_not_canceled  87230.0     0.184054    1.733033     0.00   \n",
       "booking_changes                 87230.0     0.268497    0.710633     0.00   \n",
       "agent                           75089.0    94.200429  113.205767     1.00   \n",
       "company                          5237.0   182.970594  130.486644     6.00   \n",
       "days_in_waiting_list            87230.0     0.746291   10.001001     0.00   \n",
       "adr                             87230.0   106.518031   54.891227    -6.38   \n",
       "required_car_parking_spaces     87230.0     0.084306    0.281659     0.00   \n",
       "total_of_special_requests       87230.0     0.698934    0.832051     0.00   \n",
       "\n",
       "                                    25%     50%     75%     max  \n",
       "is_canceled                        0.00     0.0     1.0     1.0  \n",
       "lead_time                         11.00    49.0   125.0   737.0  \n",
       "arrival_date_year               2016.00  2016.0  2017.0  2017.0  \n",
       "arrival_date_week_number          16.00    27.0    37.0    53.0  \n",
       "arrival_date_day_of_month          8.00    16.0    23.0    31.0  \n",
       "stays_in_weekend_nights            0.00     1.0     2.0    19.0  \n",
       "stays_in_week_nights               1.00     2.0     4.0    50.0  \n",
       "adults                             2.00     2.0     2.0    55.0  \n",
       "children                           0.00     0.0     0.0    10.0  \n",
       "babies                             0.00     0.0     0.0    10.0  \n",
       "is_repeated_guest                  0.00     0.0     0.0     1.0  \n",
       "previous_cancellations             0.00     0.0     0.0    26.0  \n",
       "previous_bookings_not_canceled     0.00     0.0     0.0    72.0  \n",
       "booking_changes                    0.00     0.0     0.0    18.0  \n",
       "agent                              9.00    14.0   240.0   535.0  \n",
       "company                           47.00   169.0   263.0   543.0  \n",
       "days_in_waiting_list               0.00     0.0     0.0   391.0  \n",
       "adr                               72.25    98.2   134.1  5400.0  \n",
       "required_car_parking_spaces        0.00     0.0     0.0     8.0  \n",
       "total_of_special_requests          0.00     0.0     1.0     5.0  "
      ]
     },
     "execution_count": 392,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 393,
   "id": "21a59de7-5fdc-405f-b299-c06002de9d29",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>lead_time</th>\n",
       "      <td>87230.0</td>\n",
       "      <td>79.971019</td>\n",
       "      <td>86.058683</td>\n",
       "      <td>0.00</td>\n",
       "      <td>11.00</td>\n",
       "      <td>49.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>737.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>adr</th>\n",
       "      <td>87230.0</td>\n",
       "      <td>106.518031</td>\n",
       "      <td>54.891227</td>\n",
       "      <td>-6.38</td>\n",
       "      <td>72.25</td>\n",
       "      <td>98.2</td>\n",
       "      <td>134.1</td>\n",
       "      <td>5400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <td>87230.0</td>\n",
       "      <td>0.698934</td>\n",
       "      <td>0.832051</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
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      ],
      "text/plain": [
       "                             count        mean        std   min    25%   50%  \\\n",
       "lead_time                  87230.0   79.971019  86.058683  0.00  11.00  49.0   \n",
       "adr                        87230.0  106.518031  54.891227 -6.38  72.25  98.2   \n",
       "total_of_special_requests  87230.0    0.698934   0.832051  0.00   0.00   0.0   \n",
       "\n",
       "                             75%     max  \n",
       "lead_time                  125.0   737.0  \n",
       "adr                        134.1  5400.0  \n",
       "total_of_special_requests    1.0     5.0  "
      ]
     },
     "execution_count": 393,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[['lead_time','adr','total_of_special_requests']].describe().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 394,
   "id": "b38473be-2d12-40ab-9271-04988d2e0f54",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "feature name: lead_time\n",
      "90th quantile value is 204.0\n",
      "91th quantile value is 212.0\n",
      "92th quantile value is 220.0\n",
      "93th quantile value is 230.0\n",
      "94th quantile value is 241.0\n",
      "95th quantile value is 256.0\n",
      "96th quantile value is 272.0\n",
      "97th quantile value is 291.0\n",
      "98th quantile value is 315.0\n",
      "99th quantile value is 347.0\n",
      "100th quantile value is 737.0\n",
      "\n",
      "\n",
      "feature name: adr\n",
      "90th quantile value is 174.0\n",
      "91th quantile value is 179.0\n",
      "92th quantile value is 185.0\n",
      "93th quantile value is 190.0\n",
      "94th quantile value is 197.1\n",
      "95th quantile value is 204.13300000000018\n",
      "96th quantile value is 213.0\n",
      "97th quantile value is 225.0\n",
      "98th quantile value is 239.0\n",
      "99th quantile value is 261.6207000000011\n",
      "100th quantile value is 5400.0\n",
      "\n",
      "\n",
      "feature name: total_of_special_requests\n",
      "90th quantile value is 2.0\n",
      "91th quantile value is 2.0\n",
      "92th quantile value is 2.0\n",
      "93th quantile value is 2.0\n",
      "94th quantile value is 2.0\n",
      "95th quantile value is 2.0\n",
      "96th quantile value is 2.0\n",
      "97th quantile value is 3.0\n",
      "98th quantile value is 3.0\n",
      "99th quantile value is 3.0\n",
      "100th quantile value is 5.0\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for col in ['lead_time','adr','total_of_special_requests']:\n",
    "    print(f\"feature name: {col}\")\n",
    "    for i in range(90,101):\n",
    "        quantile_value = np.quantile(data[col],q=i/100)\n",
    "        print(f\"{i}th quantile value is {quantile_value}\")\n",
    "    print(\"\\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3ef41241-6bd8-45ce-b58a-d981d0711c02",
   "metadata": {},
   "source": [
    "##### Where do the quests come from?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 395,
   "id": "a56d07ad-4f2e-40a1-9e3d-05d2cd1fe170",
   "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>hotel</th>\n",
       "      <th>is_canceled</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_date_year</th>\n",
       "      <th>arrival_date_month</th>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "      <th>stays_in_weekend_nights</th>\n",
       "      <th>stays_in_week_nights</th>\n",
       "      <th>adults</th>\n",
       "      <th>children</th>\n",
       "      <th>babies</th>\n",
       "      <th>meal</th>\n",
       "      <th>country</th>\n",
       "      <th>market_segment</th>\n",
       "      <th>distribution_channel</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <th>reserved_room_type</th>\n",
       "      <th>assigned_room_type</th>\n",
       "      <th>booking_changes</th>\n",
       "      <th>deposit_type</th>\n",
       "      <th>agent</th>\n",
       "      <th>company</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>customer_type</th>\n",
       "      <th>adr</th>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <th>reservation_status</th>\n",
       "      <th>reservation_status_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>342</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>3</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/1/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>737</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/1/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/2/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>304.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/2/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>240.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>98.00</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/3/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119385</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>23</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>30</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>BEL</td>\n",
       "      <td>Offline TA/TO</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>394.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>96.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/6/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119386</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>102</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>FRA</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>E</td>\n",
       "      <td>E</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>225.43</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/7/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119387</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>34</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>DEU</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>D</td>\n",
       "      <td>D</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>157.71</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/7/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119388</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>109</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>89.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>104.40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/7/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119389</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>205</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>29</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>HB</td>\n",
       "      <td>DEU</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>151.20</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/7/2017</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>87230 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               hotel  is_canceled  lead_time  arrival_date_year  \\\n",
       "0       Resort Hotel            0        342               2015   \n",
       "1       Resort Hotel            0        737               2015   \n",
       "2       Resort Hotel            0          7               2015   \n",
       "3       Resort Hotel            0         13               2015   \n",
       "4       Resort Hotel            0         14               2015   \n",
       "...              ...          ...        ...                ...   \n",
       "119385    City Hotel            0         23               2017   \n",
       "119386    City Hotel            0        102               2017   \n",
       "119387    City Hotel            0         34               2017   \n",
       "119388    City Hotel            0        109               2017   \n",
       "119389    City Hotel            0        205               2017   \n",
       "\n",
       "       arrival_date_month  arrival_date_week_number  \\\n",
       "0                    July                        27   \n",
       "1                    July                        27   \n",
       "2                    July                        27   \n",
       "3                    July                        27   \n",
       "4                    July                        27   \n",
       "...                   ...                       ...   \n",
       "119385             August                        35   \n",
       "119386             August                        35   \n",
       "119387             August                        35   \n",
       "119388             August                        35   \n",
       "119389             August                        35   \n",
       "\n",
       "        arrival_date_day_of_month  stays_in_weekend_nights  \\\n",
       "0                               1                        0   \n",
       "1                               1                        0   \n",
       "2                               1                        0   \n",
       "3                               1                        0   \n",
       "4                               1                        0   \n",
       "...                           ...                      ...   \n",
       "119385                         30                        2   \n",
       "119386                         31                        2   \n",
       "119387                         31                        2   \n",
       "119388                         31                        2   \n",
       "119389                         29                        2   \n",
       "\n",
       "        stays_in_week_nights  adults  children  babies meal country  \\\n",
       "0                          0       2       0.0       0   BB     PRT   \n",
       "1                          0       2       0.0       0   BB     PRT   \n",
       "2                          1       1       0.0       0   BB     GBR   \n",
       "3                          1       1       0.0       0   BB     GBR   \n",
       "4                          2       2       0.0       0   BB     GBR   \n",
       "...                      ...     ...       ...     ...  ...     ...   \n",
       "119385                     5       2       0.0       0   BB     BEL   \n",
       "119386                     5       3       0.0       0   BB     FRA   \n",
       "119387                     5       2       0.0       0   BB     DEU   \n",
       "119388                     5       2       0.0       0   BB     GBR   \n",
       "119389                     7       2       0.0       0   HB     DEU   \n",
       "\n",
       "       market_segment distribution_channel  is_repeated_guest  \\\n",
       "0              Direct               Direct                  0   \n",
       "1              Direct               Direct                  0   \n",
       "2              Direct               Direct                  0   \n",
       "3           Corporate            Corporate                  0   \n",
       "4           Online TA                TA/TO                  0   \n",
       "...               ...                  ...                ...   \n",
       "119385  Offline TA/TO                TA/TO                  0   \n",
       "119386      Online TA                TA/TO                  0   \n",
       "119387      Online TA                TA/TO                  0   \n",
       "119388      Online TA                TA/TO                  0   \n",
       "119389      Online TA                TA/TO                  0   \n",
       "\n",
       "        previous_cancellations  previous_bookings_not_canceled  \\\n",
       "0                            0                               0   \n",
       "1                            0                               0   \n",
       "2                            0                               0   \n",
       "3                            0                               0   \n",
       "4                            0                               0   \n",
       "...                        ...                             ...   \n",
       "119385                       0                               0   \n",
       "119386                       0                               0   \n",
       "119387                       0                               0   \n",
       "119388                       0                               0   \n",
       "119389                       0                               0   \n",
       "\n",
       "       reserved_room_type assigned_room_type  booking_changes deposit_type  \\\n",
       "0                       C                  C                3   No Deposit   \n",
       "1                       C                  C                4   No Deposit   \n",
       "2                       A                  C                0   No Deposit   \n",
       "3                       A                  A                0   No Deposit   \n",
       "4                       A                  A                0   No Deposit   \n",
       "...                   ...                ...              ...          ...   \n",
       "119385                  A                  A                0   No Deposit   \n",
       "119386                  E                  E                0   No Deposit   \n",
       "119387                  D                  D                0   No Deposit   \n",
       "119388                  A                  A                0   No Deposit   \n",
       "119389                  A                  A                0   No Deposit   \n",
       "\n",
       "        agent  company  days_in_waiting_list customer_type     adr  \\\n",
       "0         NaN      NaN                     0     Transient    0.00   \n",
       "1         NaN      NaN                     0     Transient    0.00   \n",
       "2         NaN      NaN                     0     Transient   75.00   \n",
       "3       304.0      NaN                     0     Transient   75.00   \n",
       "4       240.0      NaN                     0     Transient   98.00   \n",
       "...       ...      ...                   ...           ...     ...   \n",
       "119385  394.0      NaN                     0     Transient   96.14   \n",
       "119386    9.0      NaN                     0     Transient  225.43   \n",
       "119387    9.0      NaN                     0     Transient  157.71   \n",
       "119388   89.0      NaN                     0     Transient  104.40   \n",
       "119389    9.0      NaN                     0     Transient  151.20   \n",
       "\n",
       "        required_car_parking_spaces  total_of_special_requests  \\\n",
       "0                                 0                          0   \n",
       "1                                 0                          0   \n",
       "2                                 0                          0   \n",
       "3                                 0                          0   \n",
       "4                                 0                          1   \n",
       "...                             ...                        ...   \n",
       "119385                            0                          0   \n",
       "119386                            0                          2   \n",
       "119387                            0                          4   \n",
       "119388                            0                          0   \n",
       "119389                            0                          2   \n",
       "\n",
       "       reservation_status reservation_status_date  \n",
       "0               Check-Out                7/1/2015  \n",
       "1               Check-Out                7/1/2015  \n",
       "2               Check-Out                7/2/2015  \n",
       "3               Check-Out                7/2/2015  \n",
       "4               Check-Out                7/3/2015  \n",
       "...                   ...                     ...  \n",
       "119385          Check-Out                9/6/2017  \n",
       "119386          Check-Out                9/7/2017  \n",
       "119387          Check-Out                9/7/2017  \n",
       "119388          Check-Out                9/7/2017  \n",
       "119389          Check-Out                9/7/2017  \n",
       "\n",
       "[87230 rows x 32 columns]"
      ]
     },
     "execution_count": 395,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 396,
   "id": "c6b51fb8-9d20-45e3-a720-a5fbb932e400",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hotel</th>\n",
       "      <th>is_canceled</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_date_year</th>\n",
       "      <th>arrival_date_month</th>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "      <th>stays_in_weekend_nights</th>\n",
       "      <th>stays_in_week_nights</th>\n",
       "      <th>adults</th>\n",
       "      <th>children</th>\n",
       "      <th>babies</th>\n",
       "      <th>meal</th>\n",
       "      <th>market_segment</th>\n",
       "      <th>distribution_channel</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <th>reserved_room_type</th>\n",
       "      <th>assigned_room_type</th>\n",
       "      <th>booking_changes</th>\n",
       "      <th>deposit_type</th>\n",
       "      <th>agent</th>\n",
       "      <th>company</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>customer_type</th>\n",
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       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <th>reservation_status</th>\n",
       "      <th>reservation_status_date</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "    </tr>\n",
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       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AGO</th>\n",
       "      <td>342</td>\n",
       "      <td>342</td>\n",
       "      <td>342</td>\n",
       "      <td>342</td>\n",
       "      <td>342</td>\n",
       "      <td>342</td>\n",
       "      <td>342</td>\n",
       "      <td>342</td>\n",
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       "      <td>342</td>\n",
       "      <td>342</td>\n",
       "      <td>342</td>\n",
       "      <td>342</td>\n",
       "      <td>342</td>\n",
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       "      <td>342</td>\n",
       "      <td>342</td>\n",
       "      <td>342</td>\n",
       "      <td>342</td>\n",
       "      <td>254</td>\n",
       "      <td>9</td>\n",
       "      <td>342</td>\n",
       "      <td>342</td>\n",
       "      <td>342</td>\n",
       "      <td>342</td>\n",
       "      <td>342</td>\n",
       "      <td>342</td>\n",
       "      <td>342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AIA</th>\n",
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       "      <td>1</td>\n",
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       "      <th>ALB</th>\n",
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       "    <tr>\n",
       "      <th>VGB</th>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>VNM</th>\n",
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       "      <td>8</td>\n",
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       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
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       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td>78</td>\n",
       "      <td>78</td>\n",
       "      <td>78</td>\n",
       "      <td>78</td>\n",
       "      <td>78</td>\n",
       "      <td>78</td>\n",
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       "      <td>78</td>\n",
       "      <td>78</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td>2</td>\n",
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       "      <td>2</td>\n",
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       "      <td>2</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>ZWE</th>\n",
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       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
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       "      <td>4</td>\n",
       "      <td>4</td>\n",
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       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>177 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         hotel  is_canceled  lead_time  arrival_date_year  arrival_date_month  \\\n",
       "country                                                                         \n",
       "ABW          2            2          2                  2                   2   \n",
       "AGO        342          342        342                342                 342   \n",
       "AIA          1            1          1                  1                   1   \n",
       "ALB         11           11         11                 11                  11   \n",
       "AND          7            7          7                  7                   7   \n",
       "...        ...          ...        ...                ...                 ...   \n",
       "VGB          1            1          1                  1                   1   \n",
       "VNM          8            8          8                  8                   8   \n",
       "ZAF         78           78         78                 78                  78   \n",
       "ZMB          2            2          2                  2                   2   \n",
       "ZWE          4            4          4                  4                   4   \n",
       "\n",
       "         arrival_date_week_number  arrival_date_day_of_month  \\\n",
       "country                                                        \n",
       "ABW                             2                          2   \n",
       "AGO                           342                        342   \n",
       "AIA                             1                          1   \n",
       "ALB                            11                         11   \n",
       "AND                             7                          7   \n",
       "...                           ...                        ...   \n",
       "VGB                             1                          1   \n",
       "VNM                             8                          8   \n",
       "ZAF                            78                         78   \n",
       "ZMB                             2                          2   \n",
       "ZWE                             4                          4   \n",
       "\n",
       "         stays_in_weekend_nights  stays_in_week_nights  adults  children  \\\n",
       "country                                                                    \n",
       "ABW                            2                     2       2         2   \n",
       "AGO                          342                   342     342       342   \n",
       "AIA                            1                     1       1         1   \n",
       "ALB                           11                    11      11        11   \n",
       "AND                            7                     7       7         7   \n",
       "...                          ...                   ...     ...       ...   \n",
       "VGB                            1                     1       1         1   \n",
       "VNM                            8                     8       8         8   \n",
       "ZAF                           78                    78      78        78   \n",
       "ZMB                            2                     2       2         2   \n",
       "ZWE                            4                     4       4         4   \n",
       "\n",
       "         babies  meal  market_segment  distribution_channel  \\\n",
       "country                                                       \n",
       "ABW           2     2               2                     2   \n",
       "AGO         342   342             342                   342   \n",
       "AIA           1     1               1                     1   \n",
       "ALB          11    11              11                    11   \n",
       "AND           7     7               7                     7   \n",
       "...         ...   ...             ...                   ...   \n",
       "VGB           1     1               1                     1   \n",
       "VNM           8     8               8                     8   \n",
       "ZAF          78    78              78                    78   \n",
       "ZMB           2     2               2                     2   \n",
       "ZWE           4     4               4                     4   \n",
       "\n",
       "         is_repeated_guest  previous_cancellations  \\\n",
       "country                                              \n",
       "ABW                      2                       2   \n",
       "AGO                    342                     342   \n",
       "AIA                      1                       1   \n",
       "ALB                     11                      11   \n",
       "AND                      7                       7   \n",
       "...                    ...                     ...   \n",
       "VGB                      1                       1   \n",
       "VNM                      8                       8   \n",
       "ZAF                     78                      78   \n",
       "ZMB                      2                       2   \n",
       "ZWE                      4                       4   \n",
       "\n",
       "         previous_bookings_not_canceled  reserved_room_type  \\\n",
       "country                                                       \n",
       "ABW                                   2                   2   \n",
       "AGO                                 342                 342   \n",
       "AIA                                   1                   1   \n",
       "ALB                                  11                  11   \n",
       "AND                                   7                   7   \n",
       "...                                 ...                 ...   \n",
       "VGB                                   1                   1   \n",
       "VNM                                   8                   8   \n",
       "ZAF                                  78                  78   \n",
       "ZMB                                   2                   2   \n",
       "ZWE                                   4                   4   \n",
       "\n",
       "         assigned_room_type  booking_changes  deposit_type  agent  company  \\\n",
       "country                                                                      \n",
       "ABW                       2                2             2      2        0   \n",
       "AGO                     342              342           342    254        9   \n",
       "AIA                       1                1             1      1        0   \n",
       "ALB                      11               11            11     10        1   \n",
       "AND                       7                7             7      7        0   \n",
       "...                     ...              ...           ...    ...      ...   \n",
       "VGB                       1                1             1      1        0   \n",
       "VNM                       8                8             8      8        0   \n",
       "ZAF                      78               78            78     71        1   \n",
       "ZMB                       2                2             2      2        0   \n",
       "ZWE                       4                4             4      4        0   \n",
       "\n",
       "         days_in_waiting_list  customer_type  adr  \\\n",
       "country                                             \n",
       "ABW                         2              2    2   \n",
       "AGO                       342            342  342   \n",
       "AIA                         1              1    1   \n",
       "ALB                        11             11   11   \n",
       "AND                         7              7    7   \n",
       "...                       ...            ...  ...   \n",
       "VGB                         1              1    1   \n",
       "VNM                         8              8    8   \n",
       "ZAF                        78             78   78   \n",
       "ZMB                         2              2    2   \n",
       "ZWE                         4              4    4   \n",
       "\n",
       "         required_car_parking_spaces  total_of_special_requests  \\\n",
       "country                                                           \n",
       "ABW                                2                          2   \n",
       "AGO                              342                        342   \n",
       "AIA                                1                          1   \n",
       "ALB                               11                         11   \n",
       "AND                                7                          7   \n",
       "...                              ...                        ...   \n",
       "VGB                                1                          1   \n",
       "VNM                                8                          8   \n",
       "ZAF                               78                         78   \n",
       "ZMB                                2                          2   \n",
       "ZWE                                4                          4   \n",
       "\n",
       "         reservation_status  reservation_status_date  \n",
       "country                                               \n",
       "ABW                       2                        2  \n",
       "AGO                     342                      342  \n",
       "AIA                       1                        1  \n",
       "ALB                      11                       11  \n",
       "AND                       7                        7  \n",
       "...                     ...                      ...  \n",
       "VGB                       1                        1  \n",
       "VNM                       8                        8  \n",
       "ZAF                      78                       78  \n",
       "ZMB                       2                        2  \n",
       "ZWE                       4                        4  \n",
       "\n",
       "[177 rows x 31 columns]"
      ]
     },
     "execution_count": 396,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.groupby(['country']).count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 397,
   "id": "f85cfa5f-d8f6-45ed-89f8-fc2624a7181c",
   "metadata": {},
   "outputs": [],
   "source": [
    "not_cancelled = data[data.is_canceled==0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 398,
   "id": "ca966a09-788c-447d-9e17-0d673edd4cc6",
   "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>hotel</th>\n",
       "      <th>is_canceled</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_date_year</th>\n",
       "      <th>arrival_date_month</th>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "      <th>stays_in_weekend_nights</th>\n",
       "      <th>stays_in_week_nights</th>\n",
       "      <th>adults</th>\n",
       "      <th>children</th>\n",
       "      <th>babies</th>\n",
       "      <th>meal</th>\n",
       "      <th>country</th>\n",
       "      <th>market_segment</th>\n",
       "      <th>distribution_channel</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <th>reserved_room_type</th>\n",
       "      <th>assigned_room_type</th>\n",
       "      <th>booking_changes</th>\n",
       "      <th>deposit_type</th>\n",
       "      <th>agent</th>\n",
       "      <th>company</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>customer_type</th>\n",
       "      <th>adr</th>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <th>reservation_status</th>\n",
       "      <th>reservation_status_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>342</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>3</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/1/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>737</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/1/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/2/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>304.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/2/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>240.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>98.00</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/3/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119385</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>23</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>30</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>BEL</td>\n",
       "      <td>Offline TA/TO</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>394.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>96.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/6/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119386</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>102</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>FRA</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>E</td>\n",
       "      <td>E</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>225.43</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/7/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119387</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>34</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>DEU</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>D</td>\n",
       "      <td>D</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>157.71</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/7/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119388</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>109</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>89.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>104.40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/7/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119389</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>205</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>29</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>HB</td>\n",
       "      <td>DEU</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>151.20</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/7/2017</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>63221 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               hotel  is_canceled  lead_time  arrival_date_year  \\\n",
       "0       Resort Hotel            0        342               2015   \n",
       "1       Resort Hotel            0        737               2015   \n",
       "2       Resort Hotel            0          7               2015   \n",
       "3       Resort Hotel            0         13               2015   \n",
       "4       Resort Hotel            0         14               2015   \n",
       "...              ...          ...        ...                ...   \n",
       "119385    City Hotel            0         23               2017   \n",
       "119386    City Hotel            0        102               2017   \n",
       "119387    City Hotel            0         34               2017   \n",
       "119388    City Hotel            0        109               2017   \n",
       "119389    City Hotel            0        205               2017   \n",
       "\n",
       "       arrival_date_month  arrival_date_week_number  \\\n",
       "0                    July                        27   \n",
       "1                    July                        27   \n",
       "2                    July                        27   \n",
       "3                    July                        27   \n",
       "4                    July                        27   \n",
       "...                   ...                       ...   \n",
       "119385             August                        35   \n",
       "119386             August                        35   \n",
       "119387             August                        35   \n",
       "119388             August                        35   \n",
       "119389             August                        35   \n",
       "\n",
       "        arrival_date_day_of_month  stays_in_weekend_nights  \\\n",
       "0                               1                        0   \n",
       "1                               1                        0   \n",
       "2                               1                        0   \n",
       "3                               1                        0   \n",
       "4                               1                        0   \n",
       "...                           ...                      ...   \n",
       "119385                         30                        2   \n",
       "119386                         31                        2   \n",
       "119387                         31                        2   \n",
       "119388                         31                        2   \n",
       "119389                         29                        2   \n",
       "\n",
       "        stays_in_week_nights  adults  children  babies meal country  \\\n",
       "0                          0       2       0.0       0   BB     PRT   \n",
       "1                          0       2       0.0       0   BB     PRT   \n",
       "2                          1       1       0.0       0   BB     GBR   \n",
       "3                          1       1       0.0       0   BB     GBR   \n",
       "4                          2       2       0.0       0   BB     GBR   \n",
       "...                      ...     ...       ...     ...  ...     ...   \n",
       "119385                     5       2       0.0       0   BB     BEL   \n",
       "119386                     5       3       0.0       0   BB     FRA   \n",
       "119387                     5       2       0.0       0   BB     DEU   \n",
       "119388                     5       2       0.0       0   BB     GBR   \n",
       "119389                     7       2       0.0       0   HB     DEU   \n",
       "\n",
       "       market_segment distribution_channel  is_repeated_guest  \\\n",
       "0              Direct               Direct                  0   \n",
       "1              Direct               Direct                  0   \n",
       "2              Direct               Direct                  0   \n",
       "3           Corporate            Corporate                  0   \n",
       "4           Online TA                TA/TO                  0   \n",
       "...               ...                  ...                ...   \n",
       "119385  Offline TA/TO                TA/TO                  0   \n",
       "119386      Online TA                TA/TO                  0   \n",
       "119387      Online TA                TA/TO                  0   \n",
       "119388      Online TA                TA/TO                  0   \n",
       "119389      Online TA                TA/TO                  0   \n",
       "\n",
       "        previous_cancellations  previous_bookings_not_canceled  \\\n",
       "0                            0                               0   \n",
       "1                            0                               0   \n",
       "2                            0                               0   \n",
       "3                            0                               0   \n",
       "4                            0                               0   \n",
       "...                        ...                             ...   \n",
       "119385                       0                               0   \n",
       "119386                       0                               0   \n",
       "119387                       0                               0   \n",
       "119388                       0                               0   \n",
       "119389                       0                               0   \n",
       "\n",
       "       reserved_room_type assigned_room_type  booking_changes deposit_type  \\\n",
       "0                       C                  C                3   No Deposit   \n",
       "1                       C                  C                4   No Deposit   \n",
       "2                       A                  C                0   No Deposit   \n",
       "3                       A                  A                0   No Deposit   \n",
       "4                       A                  A                0   No Deposit   \n",
       "...                   ...                ...              ...          ...   \n",
       "119385                  A                  A                0   No Deposit   \n",
       "119386                  E                  E                0   No Deposit   \n",
       "119387                  D                  D                0   No Deposit   \n",
       "119388                  A                  A                0   No Deposit   \n",
       "119389                  A                  A                0   No Deposit   \n",
       "\n",
       "        agent  company  days_in_waiting_list customer_type     adr  \\\n",
       "0         NaN      NaN                     0     Transient    0.00   \n",
       "1         NaN      NaN                     0     Transient    0.00   \n",
       "2         NaN      NaN                     0     Transient   75.00   \n",
       "3       304.0      NaN                     0     Transient   75.00   \n",
       "4       240.0      NaN                     0     Transient   98.00   \n",
       "...       ...      ...                   ...           ...     ...   \n",
       "119385  394.0      NaN                     0     Transient   96.14   \n",
       "119386    9.0      NaN                     0     Transient  225.43   \n",
       "119387    9.0      NaN                     0     Transient  157.71   \n",
       "119388   89.0      NaN                     0     Transient  104.40   \n",
       "119389    9.0      NaN                     0     Transient  151.20   \n",
       "\n",
       "        required_car_parking_spaces  total_of_special_requests  \\\n",
       "0                                 0                          0   \n",
       "1                                 0                          0   \n",
       "2                                 0                          0   \n",
       "3                                 0                          0   \n",
       "4                                 0                          1   \n",
       "...                             ...                        ...   \n",
       "119385                            0                          0   \n",
       "119386                            0                          2   \n",
       "119387                            0                          4   \n",
       "119388                            0                          0   \n",
       "119389                            0                          2   \n",
       "\n",
       "       reservation_status reservation_status_date  \n",
       "0               Check-Out                7/1/2015  \n",
       "1               Check-Out                7/1/2015  \n",
       "2               Check-Out                7/2/2015  \n",
       "3               Check-Out                7/2/2015  \n",
       "4               Check-Out                7/3/2015  \n",
       "...                   ...                     ...  \n",
       "119385          Check-Out                9/6/2017  \n",
       "119386          Check-Out                9/7/2017  \n",
       "119387          Check-Out                9/7/2017  \n",
       "119388          Check-Out                9/7/2017  \n",
       "119389          Check-Out                9/7/2017  \n",
       "\n",
       "[63221 rows x 32 columns]"
      ]
     },
     "execution_count": 398,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "not_cancelled"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 399,
   "id": "d2f000d7-e025-45bd-8754-70e9bda5f4dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "country_wise_data = not_cancelled.country.value_counts().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 400,
   "id": "d79dff42-8284-4817-86b5-97e08d08e91c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PRT</td>\n",
       "      <td>17573</td>\n",
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       "    <tr>\n",
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       "      <td>GBR</td>\n",
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       "      <td>FRA</td>\n",
       "      <td>7091</td>\n",
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       "      <th>3</th>\n",
       "      <td>ESP</td>\n",
       "      <td>5382</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>DEU</td>\n",
       "      <td>4332</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>ZMB</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>SYC</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>MDG</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>SMR</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>FRO</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>165 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    country  count\n",
       "0       PRT  17573\n",
       "1       GBR   8440\n",
       "2       FRA   7091\n",
       "3       ESP   5382\n",
       "4       DEU   4332\n",
       "..      ...    ...\n",
       "160     ZMB      1\n",
       "161     SYC      1\n",
       "162     MDG      1\n",
       "163     SMR      1\n",
       "164     FRO      1\n",
       "\n",
       "[165 rows x 2 columns]"
      ]
     },
     "execution_count": 400,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "country_wise_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 401,
   "id": "301cb5cd-0ada-4edb-878d-4eb688987c6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "country_wise_data.columns=[\"country\",\"no_of_guests\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 402,
   "id": "ed7b92e9-6fdc-4407-883a-6f6235d5a785",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\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>country</th>\n",
       "      <th>no_of_guests</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PRT</td>\n",
       "      <td>17573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GBR</td>\n",
       "      <td>8440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>FRA</td>\n",
       "      <td>7091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ESP</td>\n",
       "      <td>5382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>DEU</td>\n",
       "      <td>4332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td>...</td>\n",
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       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>SYC</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>MDG</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>SMR</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>FRO</td>\n",
       "      <td>1</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>165 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    country  no_of_guests\n",
       "0       PRT         17573\n",
       "1       GBR          8440\n",
       "2       FRA          7091\n",
       "3       ESP          5382\n",
       "4       DEU          4332\n",
       "..      ...           ...\n",
       "160     ZMB             1\n",
       "161     SYC             1\n",
       "162     MDG             1\n",
       "163     SMR             1\n",
       "164     FRO             1\n",
       "\n",
       "[165 rows x 2 columns]"
      ]
     },
     "execution_count": 402,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "country_wise_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 403,
   "id": "9bd492cd-59c6-4cdf-9bf3-b05c5628a8ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        requirejs.config({\n",
       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-2.32.0.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import chart_studio.plotly as py\n",
    "import plotly.express as px\n",
    "import plotly.graph_objs as go\n",
    "\n",
    "from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot \n",
    "\n",
    "init_notebook_mode(connected=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 404,
   "id": "084c5de9-537c-47f7-abe3-741f1330960c",
   "metadata": {},
   "outputs": [],
   "source": [
    "map_guest = px.choropleth(data_frame=country_wise_data,\n",
    "             locations=country_wise_data.country,\n",
    "             color=country_wise_data.no_of_guests,\n",
    "             hover_name=country_wise_data.country,\n",
    "             title='Home country of guests')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 405,
   "id": "72024c49-ab49-48b5-b0ee-9663d9d34693",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "coloraxis": "coloraxis",
         "geo": "geo",
         "hovertemplate": "<b>%{hovertext}</b><br><br>country=%{location}<br>no_of_guests=%{z}<extra></extra>",
         "hovertext": [
          "PRT",
          "GBR",
          "FRA",
          "ESP",
          "DEU",
          "IRL",
          "ITA",
          "BEL",
          "NLD",
          "USA",
          "BRA",
          "CHE",
          "CN",
          "AUT",
          "SWE",
          "POL",
          "CHN",
          "NOR",
          "FIN",
          "ROU",
          "RUS",
          "DNK",
          "AUS",
          "ISR",
          "JPN",
          "LUX",
          "ARG",
          "AGO",
          "HUN",
          "MAR",
          "TUR",
          "IND",
          "CZE",
          "GRC",
          "KOR",
          "HRV",
          "LTU",
          "MEX",
          "DZA",
          "EST",
          "NZL",
          "BGR",
          "IRN",
          "SRB",
          "ZAF",
          "CHL",
          "COL",
          "LVA",
          "UKR",
          "MOZ",
          "SVK",
          "CYP",
          "SVN",
          "TWN",
          "THA",
          "ISL",
          "LBN",
          "SGP",
          "EGY",
          "URY",
          "MYS",
          "PER",
          "TUN",
          "ECU",
          "CRI",
          "JOR",
          "BLR",
          "SAU",
          "KAZ",
          "OMN",
          "PHL",
          "NGA",
          "VEN",
          "MLT",
          "IDN",
          "IRQ",
          "CPV",
          "CMR",
          "PRI",
          "KWT",
          "ALB",
          "BIH",
          "PAN",
          "LBY",
          "GNB",
          "AZE",
          "CUB",
          "MKD",
          "ARE",
          "VNM",
          "JAM",
          "LKA",
          "ARM",
          "MUS",
          "DOM",
          "CAF",
          "PAK",
          "GEO",
          "SUR",
          "KEN",
          "PRY",
          "QAT",
          "CIV",
          "GIB",
          "MDV",
          "MNE",
          "SEN",
          "SYR",
          "MCO",
          "GTM",
          "BGD",
          "BOL",
          "ATA",
          "TZA",
          "ABW",
          "TMP",
          "GAB",
          "SLV",
          "GHA",
          "LAO",
          "BRB",
          "LIE",
          "RWA",
          "STP",
          "ETH",
          "UGA",
          "COM",
          "HKG",
          "KNA",
          "ZWE",
          "TGO",
          "MWI",
          "AND",
          "UZB",
          "LCA",
          "BWA",
          "BDI",
          "MRT",
          "ASM",
          "PYF",
          "NCL",
          "KIR",
          "SDN",
          "ATF",
          "TJK",
          "SLE",
          "GUY",
          "AIA",
          "PLW",
          "NPL",
          "MMR",
          "DJI",
          "BFA",
          "CYM",
          "MAC",
          "BHS",
          "MLI",
          "DMA",
          "BHR",
          "NAM",
          "ZMB",
          "SYC",
          "MDG",
          "SMR",
          "FRO"
         ],
         "locations": [
          "PRT",
          "GBR",
          "FRA",
          "ESP",
          "DEU",
          "IRL",
          "ITA",
          "BEL",
          "NLD",
          "USA",
          "BRA",
          "CHE",
          "CN",
          "AUT",
          "SWE",
          "POL",
          "CHN",
          "NOR",
          "FIN",
          "ROU",
          "RUS",
          "DNK",
          "AUS",
          "ISR",
          "JPN",
          "LUX",
          "ARG",
          "AGO",
          "HUN",
          "MAR",
          "TUR",
          "IND",
          "CZE",
          "GRC",
          "KOR",
          "HRV",
          "LTU",
          "MEX",
          "DZA",
          "EST",
          "NZL",
          "BGR",
          "IRN",
          "SRB",
          "ZAF",
          "CHL",
          "COL",
          "LVA",
          "UKR",
          "MOZ",
          "SVK",
          "CYP",
          "SVN",
          "TWN",
          "THA",
          "ISL",
          "LBN",
          "SGP",
          "EGY",
          "URY",
          "MYS",
          "PER",
          "TUN",
          "ECU",
          "CRI",
          "JOR",
          "BLR",
          "SAU",
          "KAZ",
          "OMN",
          "PHL",
          "NGA",
          "VEN",
          "MLT",
          "IDN",
          "IRQ",
          "CPV",
          "CMR",
          "PRI",
          "KWT",
          "ALB",
          "BIH",
          "PAN",
          "LBY",
          "GNB",
          "AZE",
          "CUB",
          "MKD",
          "ARE",
          "VNM",
          "JAM",
          "LKA",
          "ARM",
          "MUS",
          "DOM",
          "CAF",
          "PAK",
          "GEO",
          "SUR",
          "KEN",
          "PRY",
          "QAT",
          "CIV",
          "GIB",
          "MDV",
          "MNE",
          "SEN",
          "SYR",
          "MCO",
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       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
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     "metadata": {},
     "output_type": "display_data"
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   ],
   "source": [
    "map_guest.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4edb6b69-80ad-46be-a1f0-0892fda5e10d",
   "metadata": {},
   "source": [
    "##### Is there any difference between assigned and reserved room types or not?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 406,
   "id": "05191646-65d9-4714-b3ba-71cb616bdff9",
   "metadata": {},
   "outputs": [],
   "source": [
    "pivot = pd.crosstab(df.reserved_room_type,df.assigned_room_type,margins=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 407,
   "id": "4f175b83-d5f7-4c1f-9212-1c309ad68751",
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>assigned_room_type</th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
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       "      <th>D</th>\n",
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       "      <th>H</th>\n",
       "      <th>I</th>\n",
       "      <th>K</th>\n",
       "      <th>L</th>\n",
       "      <th>All</th>\n",
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       "    <tr>\n",
       "      <th>reserved_room_type</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "  <tbody>\n",
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       "      <th>A</th>\n",
       "      <td>73566</td>\n",
       "      <td>1121</td>\n",
       "      <td>1444</td>\n",
       "      <td>7540</td>\n",
       "      <td>1155</td>\n",
       "      <td>417</td>\n",
       "      <td>183</td>\n",
       "      <td>94</td>\n",
       "      <td>211</td>\n",
       "      <td>142</td>\n",
       "      <td>0</td>\n",
       "      <td>85873</td>\n",
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       "      <th>B</th>\n",
       "      <td>111</td>\n",
       "      <td>986</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1115</td>\n",
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       "    <tr>\n",
       "      <th>C</th>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>882</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>931</td>\n",
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       "      <th>D</th>\n",
       "      <td>311</td>\n",
       "      <td>27</td>\n",
       "      <td>33</td>\n",
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       "      <td>686</td>\n",
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       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>22</td>\n",
       "      <td>5916</td>\n",
       "      <td>404</td>\n",
       "      <td>99</td>\n",
       "      <td>4</td>\n",
       "      <td>40</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>6519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>F</th>\n",
       "      <td>6</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>31</td>\n",
       "      <td>2707</td>\n",
       "      <td>116</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2894</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G</th>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>14</td>\n",
       "      <td>2041</td>\n",
       "      <td>7</td>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>584</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>L</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>All</th>\n",
       "      <td>74020</td>\n",
       "      <td>2154</td>\n",
       "      <td>2370</td>\n",
       "      <td>25309</td>\n",
       "      <td>7798</td>\n",
       "      <td>3751</td>\n",
       "      <td>2549</td>\n",
       "      <td>712</td>\n",
       "      <td>359</td>\n",
       "      <td>187</td>\n",
       "      <td>1</td>\n",
       "      <td>119210</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "assigned_room_type      A     B     C      D     E     F     G    H    I    K  \\\n",
       "reserved_room_type                                                              \n",
       "A                   73566  1121  1444   7540  1155   417   183   94  211  142   \n",
       "B                     111   986     0      5     2     2     8    0    0    1   \n",
       "C                       5     2   882      6     4     2    10   10   10    0   \n",
       "D                     311    27    33  17731   686   204    82    9   67   29   \n",
       "E                      15     2     8     22  5916   404    99    4   40    9   \n",
       "F                       6    14     0      4    31  2707   116    3   10    3   \n",
       "G                       5     1     2      0     4    14  2041    7   15    3   \n",
       "H                       0     0     0      1     0     0    10  584    6    0   \n",
       "L                       1     1     1      0     0     1     0    1    0    0   \n",
       "All                 74020  2154  2370  25309  7798  3751  2549  712  359  187   \n",
       "\n",
       "assigned_room_type  L     All  \n",
       "reserved_room_type             \n",
       "A                   0   85873  \n",
       "B                   0    1115  \n",
       "C                   0     931  \n",
       "D                   0   19179  \n",
       "E                   0    6519  \n",
       "F                   0    2894  \n",
       "G                   0    2092  \n",
       "H                   0     601  \n",
       "L                   1       6  \n",
       "All                 1  119210  "
      ]
     },
     "execution_count": 407,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pivot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 408,
   "id": "f5aa2531-9412-4c98-824f-44f838381568",
   "metadata": {},
   "outputs": [],
   "source": [
    "pivot_normalize = pd.crosstab(df.reserved_room_type,df.assigned_room_type,margins=True,normalize='index').round(2)*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 409,
   "id": "b30ef630-4247-44b3-8aab-f1a7607fde3c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>assigned_room_type</th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "      <th>E</th>\n",
       "      <th>F</th>\n",
       "      <th>G</th>\n",
       "      <th>H</th>\n",
       "      <th>I</th>\n",
       "      <th>K</th>\n",
       "      <th>L</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>reserved_room_type</th>\n",
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       "      <td>86.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>9.0</td>\n",
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       "      <th>B</th>\n",
       "      <td>10.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>1.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>4.0</td>\n",
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       "    <tr>\n",
       "      <th>E</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>F</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>L</th>\n",
       "      <td>17.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
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       "    <tr>\n",
       "      <th>All</th>\n",
       "      <td>62.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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      "text/plain": [
       "assigned_room_type     A     B     C     D     E     F     G     H    I    K  \\\n",
       "reserved_room_type                                                             \n",
       "A                   86.0   1.0   2.0   9.0   1.0   0.0   0.0   0.0  0.0  0.0   \n",
       "B                   10.0  88.0   0.0   0.0   0.0   0.0   1.0   0.0  0.0  0.0   \n",
       "C                    1.0   0.0  95.0   1.0   0.0   0.0   1.0   1.0  1.0  0.0   \n",
       "D                    2.0   0.0   0.0  92.0   4.0   1.0   0.0   0.0  0.0  0.0   \n",
       "E                    0.0   0.0   0.0   0.0  91.0   6.0   2.0   0.0  1.0  0.0   \n",
       "F                    0.0   0.0   0.0   0.0   1.0  94.0   4.0   0.0  0.0  0.0   \n",
       "G                    0.0   0.0   0.0   0.0   0.0   1.0  98.0   0.0  1.0  0.0   \n",
       "H                    0.0   0.0   0.0   0.0   0.0   0.0   2.0  97.0  1.0  0.0   \n",
       "L                   17.0  17.0  17.0   0.0   0.0  17.0   0.0  17.0  0.0  0.0   \n",
       "All                 62.0   2.0   2.0  21.0   7.0   3.0   2.0   1.0  0.0  0.0   \n",
       "\n",
       "assigned_room_type     L  \n",
       "reserved_room_type        \n",
       "A                    0.0  \n",
       "B                    0.0  \n",
       "C                    0.0  \n",
       "D                    0.0  \n",
       "E                    0.0  \n",
       "F                    0.0  \n",
       "G                    0.0  \n",
       "H                    0.0  \n",
       "L                   17.0  \n",
       "All                  0.0  "
      ]
     },
     "execution_count": 409,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pivot_normalize"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e492cd1e-1f54-4c21-b8c4-76bcc140da28",
   "metadata": {},
   "source": [
    "##### Which market segment has highest booking?\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 410,
   "id": "04a3e6c7-db9a-42a0-9ad3-867791b664c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "market_segment\n",
       "Online TA        51553\n",
       "Offline TA/TO    13855\n",
       "Direct           11780\n",
       "Groups            4922\n",
       "Corporate         4200\n",
       "Complementary      692\n",
       "Aviation           226\n",
       "Undefined            2\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 410,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.market_segment.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 411,
   "id": "72a1ee2b-892f-4dfd-94ee-823a321c4994",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([51553, 13855, 11780,  4922,  4200,   692,   226,     2])"
      ]
     },
     "execution_count": 411,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.market_segment.value_counts().values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 412,
   "id": "5c7d6b4b-3aa0-45c7-a271-9ca5829f8dba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Online TA', 'Offline TA/TO', 'Direct', 'Groups', 'Corporate',\n",
       "       'Complementary', 'Aviation', 'Undefined'],\n",
       "      dtype='object', name='market_segment')"
      ]
     },
     "execution_count": 412,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.market_segment.value_counts().index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 413,
   "id": "6e8e03af-8ce5-48ee-8748-1ceea537b97e",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = px.pie(data,\n",
    "      values = data.market_segment.value_counts().values,\n",
    "      names = data.market_segment.value_counts().index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 414,
   "id": "13709759-b997-403a-a0c1-fde8dfcc3a0c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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         "hovertemplate": "label=%{label}<br>value=%{value}<extra></extra>",
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fefec240-d9c9-401a-847e-cff004cc9cd7",
   "metadata": {},
   "source": [
    "##### Analysing avg price per night(adr) of various room-types for all the market segments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 415,
   "id": "74ae84bf-36ea-4365-a4aa-c6851892c6cf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['hotel', 'is_canceled', 'lead_time', 'arrival_date_year',\n",
       "       'arrival_date_month', 'arrival_date_week_number',\n",
       "       'arrival_date_day_of_month', 'stays_in_weekend_nights',\n",
       "       'stays_in_week_nights', 'adults', 'children', 'babies', 'meal',\n",
       "       'country', 'market_segment', 'distribution_channel',\n",
       "       'is_repeated_guest', 'previous_cancellations',\n",
       "       'previous_bookings_not_canceled', 'reserved_room_type',\n",
       "       'assigned_room_type', 'booking_changes', 'deposit_type', 'agent',\n",
       "       'company', 'days_in_waiting_list', 'customer_type', 'adr',\n",
       "       'required_car_parking_spaces', 'total_of_special_requests',\n",
       "       'reservation_status', 'reservation_status_date'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 415,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 417,
   "id": "c0556427-d994-46f1-bcec-809a37c14b89",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='market_segment', ylabel='adr'>"
      ]
     },
     "execution_count": 417,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (20,10))\n",
    "sns.barplot(x='market_segment', y='adr', data= data, errorbar=None, hue='reserved_room_type')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 418,
   "id": "c60e259b-f8c3-4475-87ed-4efc2cab6230",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 337,
   "id": "4653ef96-5c7b-4744-b1e0-10c6f6e1ad2b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# arrival_date = []\n",
    "# for i in range(data.shape[0]):\n",
    "#     arrival_date.append(str(data.arrival_date_year[i])+\" \"+str(data.arrival_date_month[i])+\" \"+str(data.arrival_date_day_of_month[i]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 419,
   "id": "8474c804-5f10-4caf-a310-42e83ef0d681",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['July', 'August', 'September', 'October', 'November', 'December',\n",
       "       'January', 'February', 'March', 'April', 'May', 'June'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 419,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.arrival_date_month.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 420,
   "id": "a3a877e6-716c-4276-99cd-3127bc8830fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "dict_month = {'July':7, 'August':8, 'September':9, 'October':10, 'November':11, 'December':12,\n",
    "       'January':1, 'February':2, 'March':3, 'April':4, 'May':5, 'June':6}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 421,
   "id": "740c1f9b-4933-464e-93c7-e7cb8bfd4aa5",
   "metadata": {},
   "outputs": [],
   "source": [
    "data['arrival_date_month_idx'] = data.arrival_date_month.map(dict_month)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 340,
   "id": "5e55b5ae-b67c-43c2-ab39-dc12920a2a41",
   "metadata": {},
   "outputs": [],
   "source": [
    "# data['arrival_date'] = pd.to_datetime(arrival_date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 422,
   "id": "e178d5d2-089d-476b-8c6a-9ea81f0d6648",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>arrival_date_year</th>\n",
       "      <th>arrival_date_month_idx</th>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015</td>\n",
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      ],
      "text/plain": [
       "       arrival_date_year  arrival_date_month_idx  arrival_date_day_of_month\n",
       "0                   2015                       7                          1\n",
       "1                   2015                       7                          1\n",
       "2                   2015                       7                          1\n",
       "3                   2015                       7                          1\n",
       "4                   2015                       7                          1\n",
       "...                  ...                     ...                        ...\n",
       "87225               2017                       8                         30\n",
       "87226               2017                       8                         31\n",
       "87227               2017                       8                         31\n",
       "87228               2017                       8                         31\n",
       "87229               2017                       8                         29\n",
       "\n",
       "[87230 rows x 3 columns]"
      ]
     },
     "execution_count": 422,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[['arrival_date_year','arrival_date_month_idx','arrival_date_day_of_month']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 430,
   "id": "3c69926c-b35b-4190-9bf0-82127eeeee04",
   "metadata": {},
   "outputs": [],
   "source": [
    "data['arrival_date'] = data.arrival_date_year.astype(str)+'-'+data.arrival_date_month_idx.astype(str)+'-'+data.arrival_date_day_of_month.astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 432,
   "id": "466bf8f2-8784-4ed0-a890-27065fac9eff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "arrival_date\n",
       "2017-4-29     237\n",
       "2017-7-15     218\n",
       "2017-5-25     210\n",
       "2016-6-26     210\n",
       "2016-10-29    209\n",
       "             ... \n",
       "2015-12-15     28\n",
       "2015-11-15     27\n",
       "2015-12-7      26\n",
       "2015-12-13     19\n",
       "2015-11-29     18\n",
       "Name: count, Length: 793, dtype: int64"
      ]
     },
     "execution_count": 432,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.arrival_date.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 433,
   "id": "1d5d1fdd-d46b-477c-8f64-b01e4d880a89",
   "metadata": {},
   "outputs": [],
   "source": [
    "data['total_guests'] = data.adults + data.children + data.babies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 434,
   "id": "a66ece7c-8efb-4231-a5a3-3d507f121b18",
   "metadata": {},
   "outputs": [
    {
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       "      <td>23</td>\n",
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       "      <td>35</td>\n",
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       "      <td>2</td>\n",
       "      <td>5</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
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       "      <td>Transient</td>\n",
       "      <td>96.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/6/2017</td>\n",
       "      <td>8</td>\n",
       "      <td>2017-8-30</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87226</th>\n",
       "      <td>87226</td>\n",
       "      <td>119386</td>\n",
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       "      <td>102</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
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       "      <td>FRA</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>E</td>\n",
       "      <td>E</td>\n",
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       "      <td>9.0</td>\n",
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       "      <td>Transient</td>\n",
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       "      <td>Check-Out</td>\n",
       "      <td>9/7/2017</td>\n",
       "      <td>8</td>\n",
       "      <td>2017-8-31</td>\n",
       "      <td>3.0</td>\n",
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       "      <td>87227</td>\n",
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       "      <td>2017</td>\n",
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       "      <td>35</td>\n",
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       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
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       "      <td>0</td>\n",
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       "      <td>DEU</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>D</td>\n",
       "      <td>D</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>157.71</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/7/2017</td>\n",
       "      <td>8</td>\n",
       "      <td>2017-8-31</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87228</th>\n",
       "      <td>87228</td>\n",
       "      <td>119388</td>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>109</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>89.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>104.40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/7/2017</td>\n",
       "      <td>8</td>\n",
       "      <td>2017-8-31</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87229</th>\n",
       "      <td>87229</td>\n",
       "      <td>119389</td>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>205</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>29</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>HB</td>\n",
       "      <td>DEU</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>151.20</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>9/7/2017</td>\n",
       "      <td>8</td>\n",
       "      <td>2017-8-29</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>87230 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       level_0   index         hotel  is_canceled  lead_time  \\\n",
       "0            0       0  Resort Hotel            0        342   \n",
       "1            1       1  Resort Hotel            0        737   \n",
       "2            2       2  Resort Hotel            0          7   \n",
       "3            3       3  Resort Hotel            0         13   \n",
       "4            4       4  Resort Hotel            0         14   \n",
       "...        ...     ...           ...          ...        ...   \n",
       "87225    87225  119385    City Hotel            0         23   \n",
       "87226    87226  119386    City Hotel            0        102   \n",
       "87227    87227  119387    City Hotel            0         34   \n",
       "87228    87228  119388    City Hotel            0        109   \n",
       "87229    87229  119389    City Hotel            0        205   \n",
       "\n",
       "       arrival_date_year arrival_date_month  arrival_date_week_number  \\\n",
       "0                   2015               July                        27   \n",
       "1                   2015               July                        27   \n",
       "2                   2015               July                        27   \n",
       "3                   2015               July                        27   \n",
       "4                   2015               July                        27   \n",
       "...                  ...                ...                       ...   \n",
       "87225               2017             August                        35   \n",
       "87226               2017             August                        35   \n",
       "87227               2017             August                        35   \n",
       "87228               2017             August                        35   \n",
       "87229               2017             August                        35   \n",
       "\n",
       "       arrival_date_day_of_month  stays_in_weekend_nights  \\\n",
       "0                              1                        0   \n",
       "1                              1                        0   \n",
       "2                              1                        0   \n",
       "3                              1                        0   \n",
       "4                              1                        0   \n",
       "...                          ...                      ...   \n",
       "87225                         30                        2   \n",
       "87226                         31                        2   \n",
       "87227                         31                        2   \n",
       "87228                         31                        2   \n",
       "87229                         29                        2   \n",
       "\n",
       "       stays_in_week_nights  adults  children  babies meal country  \\\n",
       "0                         0       2       0.0       0   BB     PRT   \n",
       "1                         0       2       0.0       0   BB     PRT   \n",
       "2                         1       1       0.0       0   BB     GBR   \n",
       "3                         1       1       0.0       0   BB     GBR   \n",
       "4                         2       2       0.0       0   BB     GBR   \n",
       "...                     ...     ...       ...     ...  ...     ...   \n",
       "87225                     5       2       0.0       0   BB     BEL   \n",
       "87226                     5       3       0.0       0   BB     FRA   \n",
       "87227                     5       2       0.0       0   BB     DEU   \n",
       "87228                     5       2       0.0       0   BB     GBR   \n",
       "87229                     7       2       0.0       0   HB     DEU   \n",
       "\n",
       "      market_segment distribution_channel  is_repeated_guest  \\\n",
       "0             Direct               Direct                  0   \n",
       "1             Direct               Direct                  0   \n",
       "2             Direct               Direct                  0   \n",
       "3          Corporate            Corporate                  0   \n",
       "4          Online TA                TA/TO                  0   \n",
       "...              ...                  ...                ...   \n",
       "87225  Offline TA/TO                TA/TO                  0   \n",
       "87226      Online TA                TA/TO                  0   \n",
       "87227      Online TA                TA/TO                  0   \n",
       "87228      Online TA                TA/TO                  0   \n",
       "87229      Online TA                TA/TO                  0   \n",
       "\n",
       "       previous_cancellations  previous_bookings_not_canceled  \\\n",
       "0                           0                               0   \n",
       "1                           0                               0   \n",
       "2                           0                               0   \n",
       "3                           0                               0   \n",
       "4                           0                               0   \n",
       "...                       ...                             ...   \n",
       "87225                       0                               0   \n",
       "87226                       0                               0   \n",
       "87227                       0                               0   \n",
       "87228                       0                               0   \n",
       "87229                       0                               0   \n",
       "\n",
       "      reserved_room_type assigned_room_type  booking_changes deposit_type  \\\n",
       "0                      C                  C                3   No Deposit   \n",
       "1                      C                  C                4   No Deposit   \n",
       "2                      A                  C                0   No Deposit   \n",
       "3                      A                  A                0   No Deposit   \n",
       "4                      A                  A                0   No Deposit   \n",
       "...                  ...                ...              ...          ...   \n",
       "87225                  A                  A                0   No Deposit   \n",
       "87226                  E                  E                0   No Deposit   \n",
       "87227                  D                  D                0   No Deposit   \n",
       "87228                  A                  A                0   No Deposit   \n",
       "87229                  A                  A                0   No Deposit   \n",
       "\n",
       "       agent  company  days_in_waiting_list customer_type     adr  \\\n",
       "0        NaN      NaN                     0     Transient    0.00   \n",
       "1        NaN      NaN                     0     Transient    0.00   \n",
       "2        NaN      NaN                     0     Transient   75.00   \n",
       "3      304.0      NaN                     0     Transient   75.00   \n",
       "4      240.0      NaN                     0     Transient   98.00   \n",
       "...      ...      ...                   ...           ...     ...   \n",
       "87225  394.0      NaN                     0     Transient   96.14   \n",
       "87226    9.0      NaN                     0     Transient  225.43   \n",
       "87227    9.0      NaN                     0     Transient  157.71   \n",
       "87228   89.0      NaN                     0     Transient  104.40   \n",
       "87229    9.0      NaN                     0     Transient  151.20   \n",
       "\n",
       "       required_car_parking_spaces  total_of_special_requests  \\\n",
       "0                                0                          0   \n",
       "1                                0                          0   \n",
       "2                                0                          0   \n",
       "3                                0                          0   \n",
       "4                                0                          1   \n",
       "...                            ...                        ...   \n",
       "87225                            0                          0   \n",
       "87226                            0                          2   \n",
       "87227                            0                          4   \n",
       "87228                            0                          0   \n",
       "87229                            0                          2   \n",
       "\n",
       "      reservation_status reservation_status_date  arrival_date_month_idx  \\\n",
       "0              Check-Out                7/1/2015                       7   \n",
       "1              Check-Out                7/1/2015                       7   \n",
       "2              Check-Out                7/2/2015                       7   \n",
       "3              Check-Out                7/2/2015                       7   \n",
       "4              Check-Out                7/3/2015                       7   \n",
       "...                  ...                     ...                     ...   \n",
       "87225          Check-Out                9/6/2017                       8   \n",
       "87226          Check-Out                9/7/2017                       8   \n",
       "87227          Check-Out                9/7/2017                       8   \n",
       "87228          Check-Out                9/7/2017                       8   \n",
       "87229          Check-Out                9/7/2017                       8   \n",
       "\n",
       "      arrival_date  total_guests  \n",
       "0         2015-7-1           2.0  \n",
       "1         2015-7-1           2.0  \n",
       "2         2015-7-1           1.0  \n",
       "3         2015-7-1           1.0  \n",
       "4         2015-7-1           2.0  \n",
       "...            ...           ...  \n",
       "87225    2017-8-30           2.0  \n",
       "87226    2017-8-31           3.0  \n",
       "87227    2017-8-31           2.0  \n",
       "87228    2017-8-31           2.0  \n",
       "87229    2017-8-29           2.0  \n",
       "\n",
       "[87230 rows x 37 columns]"
      ]
     },
     "execution_count": 434,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 435,
   "id": "7ab4bceb-9d28-4175-92a7-57972ec1a7ee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['level_0', 'index', 'hotel', 'is_canceled', 'lead_time',\n",
       "       'arrival_date_year', 'arrival_date_month', 'arrival_date_week_number',\n",
       "       'arrival_date_day_of_month', 'stays_in_weekend_nights',\n",
       "       'stays_in_week_nights', 'adults', 'children', 'babies', 'meal',\n",
       "       'country', 'market_segment', 'distribution_channel',\n",
       "       'is_repeated_guest', 'previous_cancellations',\n",
       "       'previous_bookings_not_canceled', 'reserved_room_type',\n",
       "       'assigned_room_type', 'booking_changes', 'deposit_type', 'agent',\n",
       "       'company', 'days_in_waiting_list', 'customer_type', 'adr',\n",
       "       'required_car_parking_spaces', 'total_of_special_requests',\n",
       "       'reservation_status', 'reservation_status_date',\n",
       "       'arrival_date_month_idx', 'arrival_date', 'total_guests'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 435,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 436,
   "id": "f345c561-c428-49a2-a421-5895c9f6926b",
   "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>arrival_date</th>\n",
       "      <th>total_guests</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015-7-1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015-7-1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015-7-1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015-7-1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-7-1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87225</th>\n",
       "      <td>2017-8-30</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87226</th>\n",
       "      <td>2017-8-31</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87227</th>\n",
       "      <td>2017-8-31</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87228</th>\n",
       "      <td>2017-8-31</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87229</th>\n",
       "      <td>2017-8-29</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>87230 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      arrival_date  total_guests\n",
       "0         2015-7-1           2.0\n",
       "1         2015-7-1           2.0\n",
       "2         2015-7-1           1.0\n",
       "3         2015-7-1           1.0\n",
       "4         2015-7-1           2.0\n",
       "...            ...           ...\n",
       "87225    2017-8-30           2.0\n",
       "87226    2017-8-31           3.0\n",
       "87227    2017-8-31           2.0\n",
       "87228    2017-8-31           2.0\n",
       "87229    2017-8-29           2.0\n",
       "\n",
       "[87230 rows x 2 columns]"
      ]
     },
     "execution_count": 436,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[['arrival_date',\n",
    "       'total_guests']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "111b3b01-187e-4646-9c6e-415fdf3cf6f5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 437,
   "id": "9be0c597-2eb8-4d5f-a831-1a1cab8c4c66",
   "metadata": {},
   "outputs": [],
   "source": [
    "notcan=data[data['is_canceled']==0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 439,
   "id": "080481ba-8174-4acf-ade8-5a3c0e675e50",
   "metadata": {},
   "outputs": [],
   "source": [
    "guest_arrival_series = notcan.groupby(['arrival_date'])['total_guests'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 440,
   "id": "4266dbab-9921-460a-be45-b6942059e937",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='arrival_date'>"
      ]
     },
     "execution_count": 440,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "guest_arrival_series.plot(figsize=(10,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dbe479a6-574b-4933-a652-111f7ae8e83d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "463b8f71-aec2-4dd5-bc4b-e029d7ab02fb",
   "metadata": {},
   "source": [
    "##### Analysing distribution of \"guests arrival\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 441,
   "id": "acf894cb-4618-4de3-8d0e-db14be446f77",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['level_0', 'index', 'hotel', 'is_canceled', 'lead_time',\n",
       "       'arrival_date_year', 'arrival_date_month', 'arrival_date_week_number',\n",
       "       'arrival_date_day_of_month', 'stays_in_weekend_nights',\n",
       "       'stays_in_week_nights', 'adults', 'children', 'babies', 'meal',\n",
       "       'country', 'market_segment', 'distribution_channel',\n",
       "       'is_repeated_guest', 'previous_cancellations',\n",
       "       'previous_bookings_not_canceled', 'reserved_room_type',\n",
       "       'assigned_room_type', 'booking_changes', 'deposit_type', 'agent',\n",
       "       'company', 'days_in_waiting_list', 'customer_type', 'adr',\n",
       "       'required_car_parking_spaces', 'total_of_special_requests',\n",
       "       'reservation_status', 'reservation_status_date',\n",
       "       'arrival_date_month_idx', 'arrival_date', 'total_guests'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 441,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 445,
   "id": "f126072c-45d1-47ff-9104-e200aaa39671",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "arrival_date\n",
       "2015-10-1     149.0\n",
       "2015-10-10    167.0\n",
       "2015-10-11    123.0\n",
       "2015-10-12    186.0\n",
       "2015-10-13    115.0\n",
       "              ...  \n",
       "2017-8-5      205.0\n",
       "2017-8-6      199.0\n",
       "2017-8-7      287.0\n",
       "2017-8-8      191.0\n",
       "2017-8-9      185.0\n",
       "Name: total_guests, Length: 793, dtype: float64"
      ]
     },
     "execution_count": 445,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "guest_arrival_series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 448,
   "id": "c98504e1-50c9-4079-ab2a-29a0cab0e14b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.series.Series"
      ]
     },
     "execution_count": 448,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(guest_arrival_series)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 450,
   "id": "39d3980d-675f-41c3-b6c7-7fdffd9b217a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([149., 167., 123., 186., 115., 110., 197., 118.,  80., 172., 190.,\n",
       "       151., 145., 132., 133., 126.,  99.,  98.,  85.,  77.,  96.,  89.,\n",
       "        94., 111., 165., 157., 167., 148., 152., 121., 158.,  89.,  68.,\n",
       "        69.,  70.,  55.,  58.,  38.,  93.,  88., 107.,  73.,  92., 100.,\n",
       "       106.,  49., 138.,  81.,  52.,  64., 122.,  95.,  24.,  93.,  48.,\n",
       "        68.,  79., 113., 119.,  66.,  70.,  52.,  74.,  76.,  71.,  24.,\n",
       "        54.,  33.,  55.,  64.,  74., 107.,  68.,  55.,  65.,  94.,  99.,\n",
       "       131.,  77., 182., 161., 142., 158.,  87., 202., 174., 137., 323.,\n",
       "        77.,  42.,  38.,  80.,  79.,  99.,  83.,  86.,  79.,  48.,  53.,\n",
       "        80., 110.,  93.,  70.,  71., 109.,  62.,  59.,  80.,  92., 143.,\n",
       "        63., 131.,  61.,  70.,  67.,  81., 106.,  87.,  80.,  87.,  65.,\n",
       "        56.,  58., 111., 237., 171., 114., 113., 131., 168., 127., 176.,\n",
       "       137., 116.,  90., 114., 132., 156., 130., 134., 115., 109.,  88.,\n",
       "       122., 148., 143., 100., 124.,  74., 116.,  88., 125., 160., 149.,\n",
       "       167., 118., 148., 135., 102., 157., 124., 168., 174., 122., 180.,\n",
       "       115., 132., 172., 110., 142., 118., 167., 112.,  83., 102.,  84.,\n",
       "       164., 138., 175., 175., 144., 173., 123., 143.,  75.,  62.,  54.,\n",
       "        81.,  62.,  99., 130., 101.,  56.,  64., 126., 174.,  82.,  81.,\n",
       "        87., 115.,  54.,  91.,  80.,  90., 112., 123.,  87.,  87.,  52.,\n",
       "        96.,  58.,  73.,  66.,  86.,  77., 116., 195., 147., 188., 165.,\n",
       "       104., 112., 235., 189., 143., 143., 204., 221., 199., 136., 185.,\n",
       "       191., 217., 170., 162., 267., 287., 240., 238., 232., 177., 168.,\n",
       "       226., 197., 131., 217., 159., 178., 236., 170., 161., 181., 111.,\n",
       "       150., 164., 241., 188., 183., 100., 184.,  92., 109., 124., 229.,\n",
       "       156.,  83., 109., 108., 143.,  71., 186., 159., 126., 175., 112.,\n",
       "        98., 141., 145.,  45.,  80.,  95.,  86.,  78., 130., 143.,  92.,\n",
       "       117., 183.,  94., 113., 128., 154., 162., 112., 152., 255., 164.,\n",
       "       162., 197., 252., 107., 100., 141., 104., 131., 250., 122.,  69.,\n",
       "       109., 129., 269., 297., 152., 130., 104., 121., 118., 164.,  67.,\n",
       "       170., 102., 143.,  95., 118., 167., 231., 252., 106.,  83., 107.,\n",
       "       127., 190., 249., 155., 141.,  85., 136., 155., 210., 198., 143.,\n",
       "       154., 143., 145., 188., 190., 235., 166., 242., 243., 166., 190.,\n",
       "       313., 215., 128., 142., 251., 179., 144., 174., 219., 240., 169.,\n",
       "       108., 143., 142., 170., 142., 133., 234., 153., 183., 140., 177.,\n",
       "       206., 186., 211., 109., 122., 168., 172., 206., 229., 161., 174.,\n",
       "       193., 148., 217., 230., 135., 222., 198., 145., 156., 164., 219.,\n",
       "       198., 122., 126., 155., 220., 170., 152., 201., 217., 179., 146.,\n",
       "       254., 246., 158., 227., 204., 150., 141., 150., 193.,  98., 104.,\n",
       "       219.,  96., 236., 192., 155., 206., 163., 170., 180., 202., 153.,\n",
       "       193., 152., 196., 186., 117., 139., 149., 243., 163., 174., 215.,\n",
       "       221., 183., 114., 137., 117., 108., 315., 214., 188., 131., 198.,\n",
       "       208., 153., 102., 202., 105., 141., 183., 196., 196., 227., 187.,\n",
       "       210., 204., 210., 235., 188., 263., 161., 187., 180., 193., 155.,\n",
       "       319., 201., 239., 182., 183., 208., 190., 185., 224., 180., 215.,\n",
       "       188., 202., 164., 193., 208., 321., 177., 223., 238., 284., 209.,\n",
       "       255., 231., 201., 180., 203., 208., 286., 244., 269., 171., 195.,\n",
       "       180., 223., 177., 262., 227., 207., 192., 183., 237., 192., 230.,\n",
       "       209., 312., 182., 233., 180., 242., 213., 155., 136., 283., 195.,\n",
       "       140., 230., 225., 205., 195., 152., 168., 169., 127., 199., 218.,\n",
       "       152., 131., 157., 196., 170., 158., 239., 145., 120., 149., 192.,\n",
       "       128., 105.,  75., 129., 115., 156.,  82., 131.,  80., 118., 152.,\n",
       "       237., 102., 151., 105., 109.,  94., 123., 136., 194., 157.,  97.,\n",
       "       149., 132.,  87., 118., 117., 152., 126.,  96.,  96.,  73., 214.,\n",
       "       180., 205., 220., 185., 121., 156., 216., 199., 190., 141., 199.,\n",
       "       126., 144., 144., 171., 256., 253., 203., 128., 153., 203., 103.,\n",
       "       121., 101., 103., 182., 161., 184., 172., 108., 179., 158., 146.,\n",
       "       179., 188., 177., 182., 235., 151., 106., 103., 129., 129., 170.,\n",
       "       152., 138., 114., 217., 167., 198., 216., 117., 184., 152., 146.,\n",
       "       110., 170., 183., 249., 201., 173., 261., 221., 190., 168., 229.,\n",
       "       143., 136., 133., 136., 167., 160., 174., 147., 116., 117., 181.,\n",
       "       253., 303., 192., 167., 113., 223., 176., 171., 191., 277., 212.,\n",
       "       132., 188., 164., 193., 187., 196., 158., 170., 201., 156., 211.,\n",
       "       191., 188., 185., 187., 208., 326., 191., 111., 252., 212., 151.,\n",
       "       149., 144., 187., 229., 183., 151., 206., 201., 218., 185., 250.,\n",
       "       198., 152., 144., 224., 155., 191., 176., 203., 257., 184., 157.,\n",
       "       180., 164., 198., 136., 175., 185., 180., 189., 210., 236., 179.,\n",
       "       209., 157., 135., 217., 182., 211., 264., 230., 211., 182., 179.,\n",
       "       307., 222., 251., 208., 160., 202., 205., 214., 168., 206., 297.,\n",
       "       189., 161., 196., 172., 233., 231., 195., 250., 167., 127., 250.,\n",
       "       205., 215., 260., 222., 181., 155., 249., 209., 223., 208., 227.,\n",
       "       255., 235., 240., 193., 225., 228., 159., 180., 197., 189., 168.,\n",
       "       249., 189., 146., 218., 125., 160., 216., 205., 199., 287., 191.,\n",
       "       185.])"
      ]
     },
     "execution_count": 450,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "guest_arrival_series.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 452,
   "id": "b288d0d5-b690-4e14-a631-fc0c1c551c1f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "from warnings import filterwarnings\n",
    "filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 455,
   "id": "3b08eb76-aaec-4372-be67-c6a3fa1e727a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x16687e720>"
      ]
     },
     "execution_count": 455,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(guest_arrival_series.values,kind='kde')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 456,
   "id": "f544c31c-a669-4110-a55f-42f6a44d0db2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1667b6b10>"
      ]
     },
     "execution_count": 456,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(guest_arrival_series.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 458,
   "id": "dbc64366-1e12-494a-bf0d-fc5fda30023e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    793.000000\n",
       "mean     157.925599\n",
       "std       56.518284\n",
       "min       24.000000\n",
       "25%      115.000000\n",
       "50%      158.000000\n",
       "75%      196.000000\n",
       "max      326.000000\n",
       "Name: total_guests, dtype: float64"
      ]
     },
     "execution_count": 458,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "guest_arrival_series.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f9840623-911d-4c16-9e8c-51dc530e524a",
   "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": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}