Hotel_Booking_Data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 287,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np \n",
    "import matplotlib.pyplot as plt \n",
    "import seaborn as sns \n",
    "import plotly.graph_objs as go\n",
    "from plotly.offline import iplot\n",
    "import plotly.express as px"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>...</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.0</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>...</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>75.0</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>...</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>98.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/3/2015</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          hotel  is_canceled  lead_time  arrival_date_year arrival_date_month  \\\n",
       "0  Resort Hotel            0        342               2015               July   \n",
       "1  Resort Hotel            0        737               2015               July   \n",
       "2  Resort Hotel            0          7               2015               July   \n",
       "3  Resort Hotel            0         13               2015               July   \n",
       "4  Resort Hotel            0         14               2015               July   \n",
       "\n",
       "   arrival_date_week_number  arrival_date_day_of_month  \\\n",
       "0                        27                          1   \n",
       "1                        27                          1   \n",
       "2                        27                          1   \n",
       "3                        27                          1   \n",
       "4                        27                          1   \n",
       "\n",
       "   stays_in_weekend_nights  stays_in_week_nights  adults  ...  deposit_type  \\\n",
       "0                        0                     0       2  ...    No Deposit   \n",
       "1                        0                     0       2  ...    No Deposit   \n",
       "2                        0                     1       1  ...    No Deposit   \n",
       "3                        0                     1       1  ...    No Deposit   \n",
       "4                        0                     2       2  ...    No Deposit   \n",
       "\n",
       "   agent company days_in_waiting_list customer_type   adr  \\\n",
       "0    NaN     NaN                    0     Transient   0.0   \n",
       "1    NaN     NaN                    0     Transient   0.0   \n",
       "2    NaN     NaN                    0     Transient  75.0   \n",
       "3  304.0     NaN                    0     Transient  75.0   \n",
       "4  240.0     NaN                    0     Transient  98.0   \n",
       "\n",
       "   required_car_parking_spaces  total_of_special_requests  reservation_status  \\\n",
       "0                            0                          0           Check-Out   \n",
       "1                            0                          0           Check-Out   \n",
       "2                            0                          0           Check-Out   \n",
       "3                            0                          0           Check-Out   \n",
       "4                            0                          1           Check-Out   \n",
       "\n",
       "  reservation_status_date  \n",
       "0                7/1/2015  \n",
       "1                7/1/2015  \n",
       "2                7/2/2015  \n",
       "3                7/2/2015  \n",
       "4                7/3/2015  \n",
       "\n",
       "[5 rows x 32 columns]"
      ]
     },
     "execution_count": 288,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_file = r\"D:\\5.DataAnalysis\\2\\Project 2.. Hotel Booking Data Analysis-20230331T042954Z-001\\Project 2.. Hotel Booking Data Analysis\\hotel_bookings.csv\"\n",
    "hotel_df = pd.read_csv(data_file)\n",
    "hotel_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 289,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "hotel                                  0\n",
       "is_canceled                            0\n",
       "lead_time                              0\n",
       "arrival_date_year                      0\n",
       "arrival_date_month                     0\n",
       "arrival_date_week_number               0\n",
       "arrival_date_day_of_month              0\n",
       "stays_in_weekend_nights                0\n",
       "stays_in_week_nights                   0\n",
       "adults                                 0\n",
       "children                               4\n",
       "babies                                 0\n",
       "meal                                   0\n",
       "country                              488\n",
       "market_segment                         0\n",
       "distribution_channel                   0\n",
       "is_repeated_guest                      0\n",
       "previous_cancellations                 0\n",
       "previous_bookings_not_canceled         0\n",
       "reserved_room_type                     0\n",
       "assigned_room_type                     0\n",
       "booking_changes                        0\n",
       "deposit_type                           0\n",
       "agent                              16340\n",
       "company                           112593\n",
       "days_in_waiting_list                   0\n",
       "customer_type                          0\n",
       "adr                                    0\n",
       "required_car_parking_spaces            0\n",
       "total_of_special_requests              0\n",
       "reservation_status                     0\n",
       "reservation_status_date                0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 289,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking for nan data\n",
    "hotel_df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 290,
   "metadata": {},
   "outputs": [],
   "source": [
    "#fill the null data with zeros\n",
    "hotel_df.fillna(0,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 291,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "hotel                             0\n",
       "is_canceled                       0\n",
       "lead_time                         0\n",
       "arrival_date_year                 0\n",
       "arrival_date_month                0\n",
       "arrival_date_week_number          0\n",
       "arrival_date_day_of_month         0\n",
       "stays_in_weekend_nights           0\n",
       "stays_in_week_nights              0\n",
       "adults                            0\n",
       "children                          0\n",
       "babies                            0\n",
       "meal                              0\n",
       "country                           0\n",
       "market_segment                    0\n",
       "distribution_channel              0\n",
       "is_repeated_guest                 0\n",
       "previous_cancellations            0\n",
       "previous_bookings_not_canceled    0\n",
       "reserved_room_type                0\n",
       "assigned_room_type                0\n",
       "booking_changes                   0\n",
       "deposit_type                      0\n",
       "agent                             0\n",
       "company                           0\n",
       "days_in_waiting_list              0\n",
       "customer_type                     0\n",
       "adr                               0\n",
       "required_car_parking_spaces       0\n",
       "total_of_special_requests         0\n",
       "reservation_status                0\n",
       "reservation_status_date           0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 291,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hotel_df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 292,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(119390, 32)"
      ]
     },
     "execution_count": 292,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hotel_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 293,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 2,  1,  3,  4, 40, 26, 50, 27, 55,  0, 20,  6,  5, 10],\n",
       "      dtype=int64)"
      ]
     },
     "execution_count": 293,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#check if there is zeros in adults,childern and babis \n",
    "hotel_df['adults'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0,  1,  2, 10,  9], dtype=int64)"
      ]
     },
     "execution_count": 294,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hotel_df['babies'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 295,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.,  1.,  2., 10.,  3.])"
      ]
     },
     "execution_count": 295,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hotel_df['children'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 296,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <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>...</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>38.0</td>\n",
       "      <td>0.0</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>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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>308.0</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>308.0</td>\n",
       "      <td>0.0</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",
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       "      <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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>425.0</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>52.0</td>\n",
       "      <td>0.0</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>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  ...  deposit_type  agent company  \\\n",
       "2224                       3       0  ...    No Deposit    0.0   174.0   \n",
       "2409                       0       0  ...    No Deposit    0.0   174.0   \n",
       "3181                       2       0  ...    No Deposit   38.0     0.0   \n",
       "3684                       4       0  ...    No Deposit  308.0     0.0   \n",
       "3708                       4       0  ...    No Deposit  308.0     0.0   \n",
       "...                      ...     ...  ...           ...    ...     ...   \n",
       "115029                     3       0  ...    No Deposit    7.0     0.0   \n",
       "115091                     1       0  ...    No Deposit    0.0     0.0   \n",
       "116251                     1       0  ...    No Deposit  425.0     0.0   \n",
       "116534                     5       0  ...    No Deposit    9.0     0.0   \n",
       "117087                     2       0  ...    No Deposit   52.0     0.0   \n",
       "\n",
       "       days_in_waiting_list    customer_type     adr  \\\n",
       "2224                      0  Transient-Party    0.00   \n",
       "2409                      0        Transient    0.00   \n",
       "3181                      0  Transient-Party    0.00   \n",
       "3684                    122  Transient-Party    0.00   \n",
       "3708                    122  Transient-Party    0.00   \n",
       "...                     ...              ...     ...   \n",
       "115029                    0        Transient  100.80   \n",
       "115091                    0        Transient    0.00   \n",
       "116251                    0        Transient   73.80   \n",
       "116534                    0  Transient-Party   22.86   \n",
       "117087                    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": 296,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#It's not possible for all of them to be zero at the same time, thus we need to fix this if its in the data\n",
    "filter_family =(hotel_df['adults']==0) & (hotel_df['babies']==0) & (hotel_df['children'] ==0)\n",
    "hotel_df[filter_family]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 297,
   "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>...</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</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>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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</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>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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>304.0</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>240.0</td>\n",
       "      <td>0.0</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",
       "    </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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>394.0</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>89.0</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</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  ...  deposit_type  agent company  \\\n",
       "0                          0       2  ...    No Deposit    0.0     0.0   \n",
       "1                          0       2  ...    No Deposit    0.0     0.0   \n",
       "2                          1       1  ...    No Deposit    0.0     0.0   \n",
       "3                          1       1  ...    No Deposit  304.0     0.0   \n",
       "4                          2       2  ...    No Deposit  240.0     0.0   \n",
       "...                      ...     ...  ...           ...    ...     ...   \n",
       "119385                     5       2  ...    No Deposit  394.0     0.0   \n",
       "119386                     5       3  ...    No Deposit    9.0     0.0   \n",
       "119387                     5       2  ...    No Deposit    9.0     0.0   \n",
       "119388                     5       2  ...    No Deposit   89.0     0.0   \n",
       "119389                     7       2  ...    No Deposit    9.0     0.0   \n",
       "\n",
       "       days_in_waiting_list customer_type     adr  \\\n",
       "0                         0     Transient    0.00   \n",
       "1                         0     Transient    0.00   \n",
       "2                         0     Transient   75.00   \n",
       "3                         0     Transient   75.00   \n",
       "4                         0     Transient   98.00   \n",
       "...                     ...           ...     ...   \n",
       "119385                    0     Transient   96.14   \n",
       "119386                    0     Transient  225.43   \n",
       "119387                    0     Transient  157.71   \n",
       "119388                    0     Transient  104.40   \n",
       "119389                    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": 297,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Using all the data other than hotel_df[filter_family]\n",
    "hotel_df[-filter_family]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 298,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_hotel=hotel_df[-filter_family]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1- Using a spatial analysis, where do the visitors come from? (for each hotel)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 299,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1], dtype=int64)"
      ]
     },
     "execution_count": 299,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#first we need to make sure if there is any cancelled bookings\n",
    "hotel_df['is_canceled'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 300,
   "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>...</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</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>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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</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>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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>304.0</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>240.0</td>\n",
       "      <td>0.0</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",
       "    </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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>394.0</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>89.0</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</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>75166 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  ...  deposit_type  agent company  \\\n",
       "0                          0       2  ...    No Deposit    0.0     0.0   \n",
       "1                          0       2  ...    No Deposit    0.0     0.0   \n",
       "2                          1       1  ...    No Deposit    0.0     0.0   \n",
       "3                          1       1  ...    No Deposit  304.0     0.0   \n",
       "4                          2       2  ...    No Deposit  240.0     0.0   \n",
       "...                      ...     ...  ...           ...    ...     ...   \n",
       "119385                     5       2  ...    No Deposit  394.0     0.0   \n",
       "119386                     5       3  ...    No Deposit    9.0     0.0   \n",
       "119387                     5       2  ...    No Deposit    9.0     0.0   \n",
       "119388                     5       2  ...    No Deposit   89.0     0.0   \n",
       "119389                     7       2  ...    No Deposit    9.0     0.0   \n",
       "\n",
       "       days_in_waiting_list customer_type     adr  \\\n",
       "0                         0     Transient    0.00   \n",
       "1                         0     Transient    0.00   \n",
       "2                         0     Transient   75.00   \n",
       "3                         0     Transient   75.00   \n",
       "4                         0     Transient   98.00   \n",
       "...                     ...           ...     ...   \n",
       "119385                    0     Transient   96.14   \n",
       "119386                    0     Transient  225.43   \n",
       "119387                    0     Transient  157.71   \n",
       "119388                    0     Transient  104.40   \n",
       "119389                    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",
       "[75166 rows x 32 columns]"
      ]
     },
     "execution_count": 300,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Removing all the ccancelled bookings\n",
    "filter_not_cancelled=(hotel_df['is_canceled']==0)\n",
    "hotel_df[filter_not_cancelled]\n",
    "hotel_df_active = hotel_df[filter_not_cancelled]\n",
    "hotel_df_active"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 301,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0], dtype=int64)"
      ]
     },
     "execution_count": 301,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hotel_df_active['is_canceled'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 302,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Resort Hotel', 'City Hotel'], dtype=object)"
      ]
     },
     "execution_count": 302,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#See how many hotel we have\n",
    "hotel_df_active['hotel'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 303,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create two different df for each hotel\n",
    "rh_df = hotel_df_active[(hotel_df_active['hotel']=='Resort Hotel')]\n",
    "ch_df = hotel_df_active[(hotel_df_active['hotel']=='City Hotel')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 304,
   "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>...</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>304.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>240.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>98.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/3/2015</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          hotel  is_canceled  lead_time  arrival_date_year arrival_date_month  \\\n",
       "0  Resort Hotel            0        342               2015               July   \n",
       "1  Resort Hotel            0        737               2015               July   \n",
       "2  Resort Hotel            0          7               2015               July   \n",
       "3  Resort Hotel            0         13               2015               July   \n",
       "4  Resort Hotel            0         14               2015               July   \n",
       "\n",
       "   arrival_date_week_number  arrival_date_day_of_month  \\\n",
       "0                        27                          1   \n",
       "1                        27                          1   \n",
       "2                        27                          1   \n",
       "3                        27                          1   \n",
       "4                        27                          1   \n",
       "\n",
       "   stays_in_weekend_nights  stays_in_week_nights  adults  ...  deposit_type  \\\n",
       "0                        0                     0       2  ...    No Deposit   \n",
       "1                        0                     0       2  ...    No Deposit   \n",
       "2                        0                     1       1  ...    No Deposit   \n",
       "3                        0                     1       1  ...    No Deposit   \n",
       "4                        0                     2       2  ...    No Deposit   \n",
       "\n",
       "   agent company days_in_waiting_list customer_type   adr  \\\n",
       "0    0.0     0.0                    0     Transient   0.0   \n",
       "1    0.0     0.0                    0     Transient   0.0   \n",
       "2    0.0     0.0                    0     Transient  75.0   \n",
       "3  304.0     0.0                    0     Transient  75.0   \n",
       "4  240.0     0.0                    0     Transient  98.0   \n",
       "\n",
       "   required_car_parking_spaces  total_of_special_requests  reservation_status  \\\n",
       "0                            0                          0           Check-Out   \n",
       "1                            0                          0           Check-Out   \n",
       "2                            0                          0           Check-Out   \n",
       "3                            0                          0           Check-Out   \n",
       "4                            0                          1           Check-Out   \n",
       "\n",
       "  reservation_status_date  \n",
       "0                7/1/2015  \n",
       "1                7/1/2015  \n",
       "2                7/2/2015  \n",
       "3                7/2/2015  \n",
       "4                7/3/2015  \n",
       "\n",
       "[5 rows x 32 columns]"
      ]
     },
     "execution_count": 304,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rh_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 305,
   "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>...</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>40060</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>6</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>1</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</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>7/3/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40066</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient-Party</td>\n",
       "      <td>58.67</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/5/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40070</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>43</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient-Party</td>\n",
       "      <td>86.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/5/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40071</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>43</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient-Party</td>\n",
       "      <td>43.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/5/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40072</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>43</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient-Party</td>\n",
       "      <td>86.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>7/5/2015</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            hotel  is_canceled  lead_time  arrival_date_year  \\\n",
       "40060  City Hotel            0          6               2015   \n",
       "40066  City Hotel            0          3               2015   \n",
       "40070  City Hotel            0         43               2015   \n",
       "40071  City Hotel            0         43               2015   \n",
       "40072  City Hotel            0         43               2015   \n",
       "\n",
       "      arrival_date_month  arrival_date_week_number  arrival_date_day_of_month  \\\n",
       "40060               July                        27                          1   \n",
       "40066               July                        27                          2   \n",
       "40070               July                        27                          3   \n",
       "40071               July                        27                          3   \n",
       "40072               July                        27                          3   \n",
       "\n",
       "       stays_in_weekend_nights  stays_in_week_nights  adults  ...  \\\n",
       "40060                        0                     2       1  ...   \n",
       "40066                        0                     3       1  ...   \n",
       "40070                        0                     2       2  ...   \n",
       "40071                        0                     2       2  ...   \n",
       "40072                        0                     2       2  ...   \n",
       "\n",
       "       deposit_type  agent company days_in_waiting_list    customer_type  \\\n",
       "40060    No Deposit    6.0     0.0                    0        Transient   \n",
       "40066    No Deposit    1.0     0.0                    0  Transient-Party   \n",
       "40070    No Deposit    1.0     0.0                    0  Transient-Party   \n",
       "40071    No Deposit    1.0     0.0                    0  Transient-Party   \n",
       "40072    No Deposit    1.0     0.0                    0  Transient-Party   \n",
       "\n",
       "         adr  required_car_parking_spaces  total_of_special_requests  \\\n",
       "40060   0.00                            0                          0   \n",
       "40066  58.67                            0                          0   \n",
       "40070  86.00                            0                          0   \n",
       "40071  43.00                            0                          0   \n",
       "40072  86.00                            0                          0   \n",
       "\n",
       "       reservation_status reservation_status_date  \n",
       "40060           Check-Out                7/3/2015  \n",
       "40066           Check-Out                7/5/2015  \n",
       "40070           Check-Out                7/5/2015  \n",
       "40071           Check-Out                7/5/2015  \n",
       "40072           Check-Out                7/5/2015  \n",
       "\n",
       "[5 rows x 32 columns]"
      ]
     },
     "execution_count": 305,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ch_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 306,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['PRT', 'GBR', 'USA', 'ESP', 'IRL', 'FRA', 0, 'ROU', 'NOR', 'OMN',\n",
       "       'ARG', 'POL', 'DEU', 'BEL', 'CHE', 'CN', 'GRC', 'ITA', 'NLD',\n",
       "       'DNK', 'RUS', 'SWE', 'AUS', 'EST', 'CZE', 'BRA', 'FIN', 'MOZ',\n",
       "       'BWA', 'LUX', 'SVN', 'ALB', 'IND', 'CHN', 'MEX', 'MAR', 'UKR',\n",
       "       'SMR', 'LVA', 'PRI', 'SRB', 'CHL', 'AUT', 'BLR', 'LTU', 'TUR',\n",
       "       'ZAF', 'AGO', 'ISR', 'CYM', 'ZMB', 'CPV', 'ZWE', 'DZA', 'KOR',\n",
       "       'CRI', 'HUN', 'JAM', 'HRV', 'IRN', 'CAF', 'CYP', 'NZL', 'IDN',\n",
       "       'KAZ', 'THA', 'COL', 'DOM', 'MKD', 'MYS', 'NGA', 'VEN', 'GIB',\n",
       "       'ARM', 'JPN', 'LKA', 'CUB', 'CMR', 'BIH', 'MUS', 'COM', 'SUR',\n",
       "       'UGA', 'BGR', 'CIV', 'JOR', 'SYR', 'PHL', 'SGP', 'BDI', 'URY',\n",
       "       'SAU', 'KWT', 'LBN', 'AND', 'VNM', 'AZE', 'PLW', 'ARE', 'QAT',\n",
       "       'EGY', 'PER', 'SVK', 'MDV', 'MLT', 'MWI', 'ECU', 'MDG', 'ISL',\n",
       "       'UZB', 'NPL', 'BHS', 'PAK', 'MAC', 'TGO', 'TWN', 'HKG', 'DJI',\n",
       "       'GEO', 'TUN', 'STP', 'SEN', 'KNA', 'ETH', 'IRQ', 'RWA', 'LIE',\n",
       "       'MMR', 'PAN', 'TMP', 'BFA', 'KEN', 'MCO', 'LBY', 'GNB', 'TZA',\n",
       "       'MLI', 'BGD', 'BHR', 'NAM', 'BOL', 'SYC', 'PRY', 'BRB', 'ABW',\n",
       "       'AIA', 'SLV', 'DMA', 'GAB', 'PYF', 'GUY', 'LCA', 'ATA', 'MNE',\n",
       "       'GTM', 'GHA', 'ASM', 'MRT', 'NCL', 'KIR', 'SDN', 'ATF', 'TJK',\n",
       "       'SLE', 'LAO', 'FRO'], dtype=object)"
      ]
     },
     "execution_count": 306,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Examine the country coloumn\n",
    "hotel_df_active['country'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 307,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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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>no of Resort Hotel guests</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>PRT</td>\n",
       "      <td>10192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>GBR</td>\n",
       "      <td>5923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>ESP</td>\n",
       "      <td>3106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>IRL</td>\n",
       "      <td>1734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>FRA</td>\n",
       "      <td>1400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>MAC</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>SAU</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>EGY</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>HKG</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>CYM</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>119 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   country  no of Resort Hotel guests\n",
       "92     PRT                      10192\n",
       "44     GBR                       5923\n",
       "40     ESP                       3106\n",
       "53     IRL                       1734\n",
       "43     FRA                       1400\n",
       "..     ...                        ...\n",
       "69     MAC                          1\n",
       "96     SAU                          1\n",
       "39     EGY                          1\n",
       "48     HKG                          1\n",
       "30     CYM                          1\n",
       "\n",
       "[119 rows x 2 columns]"
      ]
     },
     "execution_count": 307,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Group by the country for each hotel df , starting with Resort Hotel\n",
    "rh_df.groupby(['country']).size().reset_index(name='no of Resort Hotel guests')\n",
    "countries_rh= rh_df.groupby(['country']).size().reset_index(name='no of Resort Hotel guests').sort_values('no of Resort Hotel guests', ascending=False)\n",
    "countries_rh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 308,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "</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 City Hotel guests</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>PRT</td>\n",
       "      <td>10879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>FRA</td>\n",
       "      <td>7081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>DEU</td>\n",
       "      <td>5012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>GBR</td>\n",
       "      <td>3753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>ESP</td>\n",
       "      <td>3285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>MMR</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>PYF</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>MRT</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>NAM</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>KIR</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>151 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    country  no of City Hotel guests\n",
       "114     PRT                    10879\n",
       "49      FRA                     7081\n",
       "38      DEU                     5012\n",
       "52      GBR                     3753\n",
       "45      ESP                     3285\n",
       "..      ...                      ...\n",
       "95      MMR                        1\n",
       "116     PYF                        1\n",
       "98      MRT                        1\n",
       "101     NAM                        1\n",
       "75      KIR                        1\n",
       "\n",
       "[151 rows x 2 columns]"
      ]
     },
     "execution_count": 308,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ch_df.groupby(['country']).size().reset_index(name='no of City Hotel guests')\n",
    "countries_ch= ch_df.groupby(['country']).size().reset_index(name='no of City Hotel guests').sort_values('no of City Hotel guests', ascending=False)\n",
    "countries_ch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 309,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "    }\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 Resort Hotel guests</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>PRT</td>\n",
       "      <td>10192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>GBR</td>\n",
       "      <td>5923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>ESP</td>\n",
       "      <td>3106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>IRL</td>\n",
       "      <td>1734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>FRA</td>\n",
       "      <td>1400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>DEU</td>\n",
       "      <td>1057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>CN</td>\n",
       "      <td>614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>NLD</td>\n",
       "      <td>458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>USA</td>\n",
       "      <td>407</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    country  no of Resort Hotel guests\n",
       "92      PRT                      10192\n",
       "44      GBR                       5923\n",
       "40      ESP                       3106\n",
       "53      IRL                       1734\n",
       "43      FRA                       1400\n",
       "33      DEU                       1057\n",
       "24       CN                        614\n",
       "81      NLD                        458\n",
       "0         0                        419\n",
       "112     USA                        407"
      ]
     },
     "execution_count": 309,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#To find the top 10 countries that visit the hotels\n",
    "countries_rh.nlargest(10 , 'no of Resort Hotel guests' )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 310,
   "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>country</th>\n",
       "      <th>no of City Hotel guests</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>PRT</td>\n",
       "      <td>10879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>FRA</td>\n",
       "      <td>7081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>DEU</td>\n",
       "      <td>5012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>GBR</td>\n",
       "      <td>3753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>ESP</td>\n",
       "      <td>3285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>ITA</td>\n",
       "      <td>2054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>BEL</td>\n",
       "      <td>1479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>NLD</td>\n",
       "      <td>1259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>USA</td>\n",
       "      <td>1189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>BRA</td>\n",
       "      <td>1065</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    country  no of City Hotel guests\n",
       "114     PRT                    10879\n",
       "49      FRA                     7081\n",
       "38      DEU                     5012\n",
       "52      GBR                     3753\n",
       "45      ESP                     3285\n",
       "69      ITA                     2054\n",
       "14      BEL                     1479\n",
       "104     NLD                     1259\n",
       "146     USA                     1189\n",
       "22      BRA                     1065"
      ]
     },
     "execution_count": 310,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " countries_ch.nlargest(10 , 'no of City Hotel guests' )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#For better representation, we can use plotly as following\n",
    "px.choropleth(data_frame=countries_rh , locations ='country', color='no of Resort Hotel guests',hover_name='country',title='Home Country of Guests for Resort Hotel')"
   ]
  },
  {
   "attachments": {
    "newplot%20%282%29.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![newplot%20%282%29.png](attachment:newplot%20%282%29.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "px.choropleth(data_frame=countries_ch , locations ='country', color='no of City Hotel guests',hover_name='country',title='Home Country of Guests for City Hotel')"
   ]
  },
  {
   "attachments": {
    "newplot%20%283%29.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![newplot%20%283%29.png](attachment:newplot%20%283%29.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2- How much do visitors spend per night at each hotel for various room types?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 313,
   "metadata": {},
   "outputs": [],
   "source": [
    "#The Price column is named 'adr' , its better to change it to just 'price'\n",
    "hotel_df_active= hotel_df_active.rename(columns={'adr': 'price'})\n",
    "rh_df=rh_df.rename(columns={'adr': 'price'})\n",
    "ch_df=ch_df.rename(columns={'adr': 'price'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 314,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['C', 'A', 'D', 'G', 'E', 'F', 'H', 'L', 'B'], dtype=object)"
      ]
     },
     "execution_count": 314,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Checking the rooms type\n",
    "hotel_df_active['reserved_room_type'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#We can plot a box chart using px or sns like this\n",
    "px.box(x='reserved_room_type', y='price', color='hotel', data_frame=hotel_df_active , title='Price per night stats')"
   ]
  },
  {
   "attachments": {
    "newplot%20%284%29.png": {
     "image/png": 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ye8K1ZkcSrjUBKY4AAggggAACCCCAgMcChGuPOyAktydca3Yk4VoTkOIIIIAAAggggAACCHgsQLj2uANCcnvCtWZHEq41ASmOAAIIIIAAAggggIDHAoRrjzsgJLcnXGt2JOFaE5DiCCCAAAIIIIAAAgh4LGBXuJ5/y4PyytK3ZN6MsdK1S5OrT+XlvV19UB/fjHCt2TmEa01AiiOAAAIIIIAAAggg4LGAn8L1o4tflqsX3ieL5p4vvXt2L1uGcF02lWMXEq41aQnXmoAURwABBBBAAAEEEEDAYwHCtccdEJLbE641O5JwrQlIcQQQQAABBBBAAAEEPBawO1wffvBgmXz5IvOpum3WWa6dNU723qNf5ikvmLlAHn5yScHXX/37cjnz4qvly6++zlx7+MGD5NKJo8xfq9Hp625+IPO1OVPGyGFD9s18zasp6R53n29uT7jW7ArCtSYgxRFAAAEEEEAAAQQQ8FjAznCtwm92IFZBes2nn2fWYef/Wk0Dn37lLZkA3tG08Pxp31YQn3zOCDNgMy3c45dIRAjXmn1AuNYEpDgCCCCAAAIIIIAAAh4L2Bmu80ePs8OyesxTxl8m40YemxlxXruuWcZOmif7DOwvY0YcJcXC9crVn8rYSdfIRWf9rGAEXNWpRrYJ1x6/RIRr/Q4gXOsbUgMCCCCAAAIIIIAAAl4KuBWuV675VC655g6ZN+OsnM3KVDB+74NVZkguFq6LTRe3vKxRcsK1l29Q6t6MXGv2AeFaE7DWijevlfhLT0h86YtiNHWW9v0OkcTA/WtNgedFAAEEEEAAAQR8JRCEcD3hkoUy+6KROSPX2YiEa+9fKcK1Zh8QrjUBPSze0iqy9PWotLaKNDSIDNwzKY0Nzjao4cpzJbp8Wc5N1o+aSsB2lp3aEUAAAQQQQACBTQq4Fa5VI0pNC1ej1Pmj22paeH65/AciXHv/khOuNfuAcK0J6GHx6xbEZfXqjQ1QAfucse2OBezIJ6ukcdLwgidODBgk60dP91CCWyOAAAIIIIAAArUt4Fa4VudWl9rQLH+jMqtnVLnnXl6Ws/O4mkL+n/dXmmu1Cdfev8OEa80+IFxrAnpU/N0VEbn51ljB3Q87JCmD90s60qro8qXScOV5BXUn+w2Q1nPmOHJPKkUAAQQQQAABBBAoLeBmuFat6egoLqul2UdubeooruxjvgjXpfvZ6StqIlznnwenULNfUmuaxfsfpYYxs8+LU7/OLr/vXrtmttFXXyNcO/2KOlP/089G5ZlnowWVH3hAUoYe4Ey4VjdrHP9jibRsPLdQ/V770KNlw0/GOPOg1IoAAggggAACCCBQUsCucF3yRlwQaoGaCdcdHaiev/W9moYxIWuzgPzd+tRPmdTHOsidcB3M7w8vRq6VVHzJY1J3z/WZgJ3cZkdpPedykaauwYSk1QgggAACCCCAQAgECNch6EQfPELNh+v8DQPyw7YK03379DLXMahPftgmXPvgLa6yCflrrnv2FDllhHNrrrObqaaIS2MXSfbZqcrWUwwBBBBAAAEEEEDALgHCtV2StV1PzYTr625+INPT2VPCi50jZ41OTzx7eM6B7qqC/JFtwnWwv4HUCPa770Vk+76GbL+dEeyHofUIIIAAAggggAACVQkQrqtio1CeQE2E6+xnttZXH3HIYHM0WoXrux56OmcddX64Pv7IoXLYkH3NavLD9adfreelQgABBBAIsYBhiEQiIX5AHg0BBBBAQLpv1gkFBLQFai5cKzG1Qdl7H6wy103rjlyvb3Nu8yvt3qUCBBBAAAFtgYRhSIx0re1IBQgggICfBTrVFW506+f20jZ/CtR8uGbNtT9fTFqFAAIIIIAAAggggIBbAkwLd0s63PcJfbhWG5QtuP0PMurEI6RrlyaxpoWPG3msOdWb3cLD/YLzdAgggAACCCCAAAIIlBJwO1y//5EhLS2lWlX49T5bR6SpsfJylHBHIPThWjFmH9Kufn3GyUdndv9Wv+aca3deNu6CAAIIIIAAAggggIAfBdwO15fNa5fl71S+me55Z8Zll53ZCMSP75BqU02Eayfx2S3cSV3qRgABBBBAAAEEEEDAeQGvwnXXLiJ1daWf76u1Iu3tIoTr0laVXJG/WXUlZYtdS7jWFCRcawJSHAEEEEAAAQQQQAABjwW8CteD941K9y1LP/wLf0nKZ59XH67Vhs7ZRxOrO86ZMiZzIlLpFuhfkb88t1iN+Ut2rWtU+19Z+lbOCU8dtcg6+UltXl3qQ7guJeTy1wnXLoNzOwQQQAABBBBAAAEEbBaohXCdHU7ViUnTr7xFrp01Tvbeo5/NmsWrI1y7whzsmxCug91/tB4BBBBAAAEEEEAAgVoL18WCbvbo9r577ZoZJVaju2defLV8+dXX5oty+MGDzCON1WdTZSZcslAO/t635Ob/e0S23bqn7Lz91vLU869mXrb8fbDUF8odue5ozyz1Q4Nzp83P3MN6DvUbYyfNk5dfe9v8mnVvRq599r1PuPZZh9AcBBBAAAEEEEAAAQQqFKi1cK1C6NUL75NFc8+X3j27myH5D4+/mPm1mlrdt08vGX7s981QevyRQzMnLVknMb3wyhs5dagyaz793Azl/3r3QzOQf3ffAZkgbtfItRWU9xnY39yk2gr/k88ZYbYxf1q4Fdi36r6F2RbVjrGTrpGLzvqZ+ZaoHwLMvmikLSP4rLmu8Bsv/3LCtSYgxRFAAAEEEEAAAQQQ8FigFsJ19prr7JHpYqPFKnzf9dDTMuGsE80gesQhg3NOW1LdlR9is0eBi4XWSsK1NcKc/VpYbVbBPT8QZ7dlU+2ypsBbPzzYb+/+hGuPv/dybk+49lNv0BYEEEAAAQQQQAABBCoXqIVwba25zg+nVrjOD7TZYTZ7Wri1EZoVUNXosfqUGhGuJFxbo9JWT2ZvaKbaf8k1d8i8GWeZo+7qo77+3gerzJHpYuE6u/1WnWpqOOG68u8VR0sQrh3lpXIEEEAAAQQQQAABBBwXqKVw3bVLkxlGrbCtcLOnfm8KO3s6+VU33Wteaq2/tnPkulS4npA3lbvUyHV+GLeekTXXjn9rVXYDwnVlXlyNAAIIIIAAAggggIDfBGotXOevQ85fc62+rtZWH3XI/vLQ4y/KuacfZ3ZZdrh+/c13cnYcz19znR+AO9qsLPtdKGdDM+uHAdYa6vw11/nHduU/qyqvyrzx9ruy+67bMy3cT9+MhGs/9QZtQQABBBBAAAEEEECgcoFaC9dKyJqmPaD/Duboc/5Z2GratLWhmTVlvNtmnXOO7yq1W3j+RmHZu3k7sVt49nO9/9Fq6Wi3cOs51PX5PwSo/O3ZWIINzXT0RIRwrQlIcQQQQAABBBBAAAEEPBbwKlzv3j8qm3Ut/fBvvJWUr9aKnHdmXHbZOVK6AFd4IkC41mQnXGsCUhwBBBBAAAEEEEAAAY8FvArXlT424bpSMXevJ1xrehOuNQEpjgACCCCAAAIIIICAxwJuh+v/uz8h739oVPzUPz02Jttuzch1xXAuFSBca0ITrjUBKY4AAggggAACCCCAgMcCbodrjx+X2zskQLjWhCVcawJSHAEEEEAAAQQQQAABjwUI1x53QEhuT7jW7EjCtSYgxRFAAAEEEEAAAQQQ8FiAcO1xB4Tk9oRrzY4kXGsCUhwBBBBAAAEEEEAAAY8FCNced0BIbk+41uxIwrUmIMURQAABBBBAAAEEEPBYwO1wnVjxLzGa11X81LG+O0mkcxlnd1VcMwXsECBcayoSrjUBKY4AAggggAACCCCAgMcCbofrdVPPlPY3l1b81F2mzJP4N/euuBwF3BEgXGs6E641ASmOAAIIIIAAAggggIDHAl6F60i3LSVSX1fy6RNffCaRtjZxKlxfMHOB2YZLJ44q2Ra/XfDq35fLhEsWyuyLRsree/TztHmEa01+wrUmIMURQAABBBBAAAEEEPBYwKtwXX/AYRL9n94ln37Ds3+S5MertcL12nXNMnbSPHn5tbcz9zv84EFmoM4O17phdeXqT+WU8ZfJuJHHymFD9s3cq9wA31H5jpB021sSv4ILCNcVYBW7lHCtCUhxBBBAAAEEEEAAAQQ8Fgh7uLYC64D+O+SMTk+be4sc8f1BOSO+umGVcO3xyxzk2xOug9x7tB0BBBBwRiC6fKnEli8zK09us6MkBu7vzI2oFQEEEEDAFoGwh+v5tzworyx9S+bNGCtduzQVmFmjyhPPHl4wuj1x3HC59d7Hc0aiNxXAyw3Xqo4zL75avvzqa+m2WWe5dtY4M+Srtjz85JJMG884+WgZM+Iosep9/6PV5tfmTBljjozr/jDAlhcoXQkj15qahGtNQIojgAACIROILX1BOi2YmvNUbT8aLm2HnxSyJ+VxEEAAgfAIhDlcW9PB9xnY3wypxT6lpoWrcP7eB6syo96bmuJdTrjOv+bRxS/L9CtvMQN27626F0wrt64/4pDB5jOoQH3JNXfIvBlnyco1n7LmOizfioTrsPQkz4EAAgjYI9Bw5bkSTY9aZ9fYfP0T9tyAWhBAAAEEbBeohXB9/JFDc9ZAZyOWCtcq3I6ddI1cdNbPzPBr/XuxDcTyR5iz72Ot8VZh+uqF98miuedL757dJfsHAEcf9p2CcN3R9eqZtuqxOeHa9u8IjyokXHsEz20RQAABnwo0zDpdoh++U9A6wrVPO4xmIYAAAiJSC+FaZ+RavSQqgPft00t22La33PXQ0x1OMS9n5FqF5fw6rPo7CtfnTptf8K6qqeGE6xB9CxOuQ9SZPAoCCCBgg0CxkWujsbO0zP29DbVTBQIIIICAEwJhDtfKq9w112rn8I7WMFu/r+o7+9RhHY6ClxuuKx257ijQs+baie8Ij+okXHsEz20RQAABnwqozcw63TBVIi1fZ1q4YdhoaT/oGJ+2mGYhgAACCIQ9XJfaLfyuBxebL4EK1x2FY2vq9qo1n2emcxd7c8oJ1/lrqLPXXO+8/TbmpmrZI+3516v7qjLqw8h1iL5/Cdch6kweBQEEELBJIPLJKnNqeKRlnSR23lOMHr1sqplqEEAAAQScEAh7uFZm5Z5zra5VI93X3fyASW3tyq3+3Zq63dHGaOqacsK1uq6j3cKt4GxNA+9ot/Btt+5phnw2NHPiO8KjOgnXHsFzWwQQQAABBBBAAAEEbBLwKlzXDdxXIt26l3yKttdfEuOLz6XLlHkS/+beJa934gIVmif8+iaZfeGp5iZkfAoFOIpL860gXGsCUhwBBBBAAAEEEEAAAY8FvArXlT62l+E6/ziuStteC9cTrjV7mXCtCUhxBBBAAAEEEEAAAQQ8FnA7XLf89mpJrPhXxU/d+ItxEttu54rLUcAdAcK1pjPhWhOQ4ggggAACCCCAAAIIeCzgdrj2+HG5vUMChGtNWMK1JiDFEUAAAQQQQAABBBDwWIBw7XEHhOT2hGvNjiRcawJSHAEEEEAAAQQQQAABjwUI1x53QEhuT7jW7EjCtSYgxRFAAAEEEEAAAQQQ8FiAcO1xB4Tk9oRrzY4kXGsCUhwBBBBAAAEEEEAAAY8FCNced0BIbk+41uxIwrUmIMURQKCowLsrItK6PiINnQzZfjsDJQQQQAABBBBwUIBw7SBuDVVNuNbsbMK1JiDFEUCgQOC6BXFZvXrjb/ffJSknHJ9ECgEEEEAAAQQcEiBcOwRbY9USrjU7nHCtCUhxBBDIEXhtaUQeeChWoHLySQlGsHlXEEAAAQQQcEiAcO0QbI1VS7jW7HDCtSYgxRFAIEfg6Wej8syz0QKVAw9IytADGL3mdUEAAQQQQMAJAcK1E6q1VyfhWrPPCdeagBRHAIEcgRdfisqjjxeGa0aueVEQQAABBBBwToBw7ZxtLdVMuNbsbcK1JiDFEUAgR6ClVeTKq+PSun7jb2/ezZDRoxLS2AAWAggggAACCDghQLh2QrX26iRca/Y54VoTkOIIIFAgoAL2kr+kRq8bOonsNTBJsOY9QQC8s+h4AAAgAElEQVQBBBBAwEEBwrWDuDVUNeFas7MJ15qAFEcAAQQQQAABBBBAwGMBwrXHHRCS2xOuNTuScK0JSHEEEEAAAQQQQAABBDwWIFx73AEhuT3hWrMjCdeagBRHAAEEEEAAAQQQQMBjAcK1xx0QktsTrjU7knCtCUhxBBBAAAEEEEAAAQQ8FiBce9wBIbk94VqzIwnXmoAURwABBBBAAAEEEEDAYwHCtccdEJLbE641O5JwrQlIcQQQQAABBBBAAAEEPBYgXHvcASG5PeFasyMJ15qAFEcAAQQQQAABBBBAwGMBwrXHHRCS2xOuNTuScK0JSHEEEEAAAQQQQAABBDwWIFx73AEhuX3NhesLZi6QZW/9RxbNPV969+xuduPK1Z/KKeMvk/c/Wm3+es6UMXLYkH0zXTz/lgflupsfMH+97167yrwZY6Vrlybz14TrkHwn8BgIIIAAAgi4KNDSKvLIYzH58ovUTfcamJSBexoutoBbIYBAtgDhmvfBDoGaCtcqWD/85BLZduuemXC9dl2zjJ00T/YZ2F/GjDhKXv37cplwyUKZfdFI2XuPfvLo4pfl6oX3Za5XdajPpRNHEa7teAOpAwEEEEAAgRoUWHRLTFa8F8l58qOPTMheAwnYNfg68Mg+ECBc+6ATQtCEmgnXavT5vQ9WyZD998oJyypMX3LNHTJvxlnmSHZ+2FZhum+fXmbwVp/8sM3IdQi+C3gEBBBAAAEEXBT4/IuIXDkvVnDH7foacsqIhIst4VYIIGAJEK55F+wQqIlwrYL1K0vfMqdzv/DKGznhOj8sK1RrdHri2cNzRrXV1/JHtld/3mpHP1AHAggggIBvBdToIqOJvu2eADbsv6tErruhMFxv39eQkScnA/hENBmB4Av03KIh+A/BE3guEPpwrcLzXQ89nVknnR+m879eLFwff+TQzBrs/HCdSPIXLs/fYhqAAAIIOCjQnjAkHsudvuvg7ai6RgTOvqhd1Lrr7M/hh0bliMOiNSLAYyLgL4FYlD/n/dUjwWxN6MN19mZk2V1krbt+/c13ckayi4Vraz22+lp+uGZaeDBffFqNAAIIIICA2wJvvhWV/7snFZ4NQ8T8q3z67/Pq1+rf1S+7djHkvPFMD3e7f7hfbQswLby2+9+upw99uM6Hyh+5Zs21Xa8S9SCAgF0C766IyEt/iUhra0QaGgw58ICk9O5lV+3UgwACXglkh2urDdb8t+wxM8K1Vz3EfWtZgHBdy71v37PXfLhmt3D7XiZqQgABfYFiGx01NIicM7ZdGlkOpg9MDQj4SODDjyJy429isvU3DBk1kpFqH3UNTalBAcJ1DXa6A49c8+FamXLOtQNvFlUigEBVAk8/G5Vnni1cc3nCcUnpvysbHVWFSiEEfCpAuPZpx9CsmhQgXNdkt9v+0DUXru0WZM213aLUh0BtC3QUrg87JCmD9yNc1/bbwdOHTYBwHbYe5XmCLEC4DnLv+afthGvNviBcawJSHAEEcgSefzEqjz9ZOHJ98i/aZfttwUIAgTAJEK7D1Js8S9AFCNdB70F/tJ9wrdkPhGtNQIojgECOANPCeSEQqB0BwnXt9DVP6n8BwrX/+ygILSRca/YS4VoTkOIIINBxuE4fzaMuYFo4LwoC4RMgXIevT3mi4AoQroPbd35qOeFaszcI15qAFEcAgRyB15ZG5IGHYgUqo09r5zgu3hUEQiZAuA5Zh/I4gRYgXAe6+3zTeMK1ZlcQrjUBKY4AAgUCjzwWlSV/2bjuetD/JuUHh7KZGa8KAmETIFyHrUd5niALEK6D3Hv+aTvhWrMvCNeagBRHAIECgesWxGX1ahFJTwvvv0tSTjiecM2rgkDYBAjXYetRnifIAoTrIPeef9pOuNbsC8K1JiDFEdAQiD91v8Rff9GsIdmjp7T9cLgYPXpp1Oh90Y6mhZ98UkK2306lbT4IIBAWAcJ1WHqS5wiDAOE6DL3o/TMQrjX7gHCtCUhxBKoUiC95TOpvvSKndLLPjtI64YYqa/RHsY52Cz/wgKQMPYDRa3/0Eq1AwB4BwrU9jtSCgB0ChGs7FKmDcK35DhCuNQEpjkCVAg1XnivR5csKSrfMuC3Qo9cvvhSVRx8vcs61wyPX0eVLpf7h2yX6r9dF/ZAiMWCwtB1+UpW9QzEEEChHgHBdjhLXIOCOAOHaHeew34VwrdnDhGtNQIojUKVAR+G6dcL1kuyzU5W1el9s5eqIXH9DTCSysS3qX88e2y5bbO5Q+5rXStPEk0Ra1uXcYP2oqZIYuL9DN6VaBBAgXPMOIOAfAcK1f/oiyC0hXGv2HuFaE5DiCFQpUPfwrVL3x9tyShuNnaVl7u+rrNEfxdS08MXPZo1cpzc1+9lxSem/qzPTwtWodcOV5xUAtA89Wjb8ZIw/YGiFLwRaWkVWrYrIqtUR2a5vkuPhNHuFcK0JSHEEbBQgXNuIWcNVEa41O59wrQlIcQSqFWheKw0Lpmamhqtgvf70qZLsN7DaGn1RrqM114cdkpTB+xGufdFJNdoIFayvmR+Tdes2TqvYrb8hP/1JokZF9B+bcK1vSA0I2CVAuLZLsrbrIVxr9j/hWhOwBourjbgin6pzlkTa9zsk0OuDa7D7HH/kjnYLH31au2OjhJFPVknD7NMl0vJ1zvNtOOlX0j7oUMefmRsEQ+D+B6Oy9PXC/QCcfDeDIVN9KwnX1dtREgG7BQjXdovWZn2Ea81+dyNcL7o1KkYyawFmB20+8odJ+Z+tOKpHs0sdLd7p+skSW7Yk5x6t51we+NFWR9FqsPL7H4zJ0tc3fs8P+t+k/OBQZ0atLd7Y0hek/p75EvlsjahZAO1Dj2FDsxp89zb1yPMXxGVV6ueCOZ8fHJKUQQ7Nqgh7FxCuw97DPF+QBAjXQeot/7aVcK3ZN26E68nT42W18tSTE9KnD+G6LCwvLlKbRp17TMGd1ej1hhGF6129aCL39I+Atba1Vy9DGhv80y5aUrsC1y2IyerVhT/oJVxX/04Qrqu3oyQCdgsQru0Wrc36CNea/e5GuF7xXkTE2PgXmrvujcjXzRE5blhCujRt/P1evQ1p6ES41uxSx4p3tGlUst8AaT1njmP3peLgCahgveSlqHzxZUR69DBkn28lCdjB68bQtfjJxTH5858jOTvZG4bI+HEJ2WJz/ttTTYcTrqtRowwCzggQrp1xrbVaCdeaPe5GuM5v4hVXxeSrryLmX2g278ZfaDS70L3ijFy7Zx3gO6lgfcnlcZGsb+14XGTyhPYAPxVND4OAejdv/V1MVCA0P4aYyxWc2mgvDGalnoFwXUqIryPgngDh2j3rMN+JcK3Zu4RrTcAaK67WtMaffiDz1Gpta+uEG9jUrMbeg0097vU3xmXlqsIr9h9syKEHsyszr4r3Ap9/EZEvvhBhyYJ+XxCu9Q2pAQG7BAjXdknWdj2Ea83+J1xrAtZg8egH/zaPjzK695REvwEiTV1rUIFH7khg5q9jsmFD4brWLl0MOX884Zo3B4EwCRCuw9SbPEvQBQjXQe9Bf7SfcK3ZD4RrTUCKI4BAjsC0WXFJFMnQW3QTOWccU8N5XRAIkwDhOky9ybMEXYBwHfQe9Ef7Cdea/UC41gSkOAII5AjcuCgmH3wQkUjW4LXaNGrvvQ05+ghGrnldEAiTAOE6TL3JswRdgHAd9B70R/sJ15r9QLjWBKR4KATURkePPBaTt/+ZSoS77mLIDw5NsMN1Bb17130x+cc/IqKCtDocIJpM/X/EEFHH3KuwrXTdOPO6gmYH4lJrjbBqLOuE9bpM7Qfw9j+jokx79zJk4J7u7GSvltNIy9cijZ0l2WcnvYfwUWnCtY86g6bUvADhuuZfAVsACNeajIRrTUCKh0Lg/gdjsvT13HXCA/c05JijGGktt4OtcK2uVxuFF666TtVEuC5XNHXda0sj8sBDsUyhhgaRk09ql969KquHq8XcaE9tuJf92XJLkbPPdHa5Qv0tl0v8pcczt03uvKe0jr8iFF1CuA5FN/IQIREgXIekIz1+DMK1ZgcQrjUBKR4KgdmXxqV1feGjTJ/s7F+6Q4HXwUM88HBMXvtbRIYemJQDD0iG+VEdfbZi7+auuyTlZ8djWin83ffF5I1/FP7Y5+c/Tcgu/Zw5FlKNWDfMHl3Q1A0n/UraBx1a6SP47nrCte+6hAbVsADhuoY738ZHJ1xrYhKuNQEpHgoBwrX93fjIE1FZsiQqhx6clP0HEwSrFZ48PXekVdXTs6fIGaP4wU+lptfMj8vHnxSW+sEhSRm0nzPvaN3Dt0rdH28ruGnbj4ZL2+EnVfoIvruecO27LqFBNSxAuK7hzrfx0QnXmpiEa01AiodCoNi0cEYH9bqWcK3nZ5UuFq6362vIKSNYslCp8G9+G5P33i8cuT7y8IR8e29nRq5jS1+QTgumFjR1w7DR0n7QMZU+gu+uJ1z7rktoUA0LEK5ruPNtfHTCtSYm4VoTkOKhEFAbmj3wYNTc6Eh9VLA++ih3NjoKBWCRh3AjXMf+8w+J/uOvJQnVmeztgw8reZ0fL3jksags+UvqvbQ+Rx+ZkL0GOhMG/WhgV5se/ENM/vpq3k72IjJmVEJ693TIs3mtNE4cLhG1mVn6YzR2ltYJN4jRI/gL5wnXdr2d1IOAvgDhWt+QGtRGtIbam5ZPtQKE62rlKBcmAWu38BXvpZ5qu77CbuGaHexGuK574h6pu//Gki1N7PBNWX/eVSWv8+sFV18Tk8++SI247jmAjfaq7afMDyrSf2uwNt47eURCtt/Oub9KRD5ZZW5optZfq53C2/c7JBTBWvUD4brat5FyCNgvQLi237QWayRca/Y64VoTkOKhEGC3cPu70Y1wnT9yHVm5QuKvPS+J3n0ludd3Mw8V5JHrqTNjklRnmWV9Nu8mMn4ca64rfWuLzQJQdZx8krPhutJ2Bul6wnWQeou2hl2AcB32Hnbn+QjXms6Ea01AD4urc1rV8VErVkTMs2/Vea0cz1Ndh7ChWXVumyrlRrjOv3/8lcVSv2i2tH/7ANnwy4n2P5QHNRZbc63ma82YQriutDvyjzVT5Rs6iYwelZAtNndu5LrSdgbpesJ1kHqLtoZdgHAd9h525/kI15rOhGtNQI+Kq2nMV86LS2vrxgao829Hn8ZfEqvpEsJ1NWqbLkO4tse0WLhWB4lPJ1xXBfyHP0bllb+l1rDXxUWGHZOU/rs6s1O41cD4U/dLvdoxvGWd+Vth2SlcPQvhuqrXkEIIOCJAuHaEteYqJVxrdjnhWhPQo+JvvR2VO+/O3eRINUWdJzyUM4Ur7pU77tq4mZlVmN3CK2bMKUC41vOzSk+eFhfJ2+CakevqbNVsn+tvjOX8UHL7voaoNddOfTo657r1nMsl2W+gU7d1rV7CtWvU3AiBkgKE65JEXFCGAOG6DKRNXUK41gT0qPiLL0Xl0ccJ13bxq5kAd94VkxXvpVKMOurohOMT0thg1x1qrx7CtT19PmlaXCJ54ToeNWTyROcCoT0t918tTz8blWeeLfxz08k11+ao9b3XF2CEZfSacO2/95wW1a4A4bp2+97OJydca2oSrjUBPSq+cpXI9TfGC+7OET0edQi3LRAgXNvzUkyaHhc1aTmaXhKs9jbr3CAy4XzWXFcqXGzjQlWHo+H6ibul/v6bCpravt/3ZcOI8yt9BN9dT7j2XZfQoBoWIFzXcOfb+OiEa01MwrUmoIfF83e+VaOtpzg4vdHDR+XWARQgXNvTaay5tsdR1VJs+Yf6/Z+fkJBddnZmQ7P4g7+Vukdvl0je3P62IUdL23Fj7Hs4j2oiXHsEz20RKCJAuOa1sEOAcK2pSLjWBPS4uFpD+MUXIg0NBjuFe9wX3D5XgHBtzxuhRq7zZoULa66rs737/pi88fdIzhp2FalPcfAorviSx6T+lstz180bIm2Hn2T+E/QP4TroPUj7wyRAuA5Tb3r3LIRrTXvCtSYgxUMj8IdHRZYtS021HzCgXY44LDSP5smDEK7tYbfWXKtAbX7SSXvGZKaFVyq88OaYvPdBRCKGiKEytjKNiPzkmKTssbszO4ZHPlkljZOGFzSVDc0q7T2uRwCBUgKE61JCfL0cAcJ1OUqbuIZwrQlI8VAI3LgwLh/+N/dRum9hyLiz2DSq2g4mXFcrl1tu8tT0buHW8LUhEo2LTL2YcF2p8DXXxeTjT/O3Xhc5eGhSvvddZ8K1amNs6QtSt/h+iS5fJsl+A6RtyDGSGLh/pc335fWMXPuyW2hUjQoQrmu0421+bMK1JijhWhOQ4qEQKLYjsxrUYnSw+u4lXFdvl11y4vS4qHOtzVHW9Kf7/4icfQbhulLha+bHZM3HWeE6/a8/PCQpg/ZzLlxX2s4gXU+4DlJv0dawCxCuw97D7jwf4VrTmXCtCUjxUAgU3TRKRKYz9bbq/iVcV02XU9B6N9MzmM2vsXlhdbZ33xuTN94sHLk+5Rftsl3f6uqs9VKE61p/A3h+PwkQrv3UG8FtC+Fas+8I15qAFA+FQLGRazVaOH0Ko4PVdjDhulq53HKLbtl4/rr1lQMPSMrQAxhprVRYnWd/2RVxaU+klq6rddfbbGPIqFMcXv7RvFbiLz0hkeZ1ZpPbhh4t0tS10ub78nrCtS+7hUbVqADhukY73ubHJlxrghKuNQEpHgqBYmuut/mGyGkjCdfVdjDhulq53HIqED7yWExWropIY4Mh221nyKD/TUpjgz3111It/1wekdv/L5azoVl9gyHnjks459m8Vhpnj5bIp6s3Ujd2keaZt4YiYBOua+k7iGf1uwDh2u89FIz2Ea41+4lwrQlI8dAI3HN/TN58KzVl9Ju7GTLsaIdHs0IjV/xBCNf2dPDKVSK33xmTtWtT7+Y2Wxsy/OcOhkF7mu3LWq5dEJM1q/MPNhM56vCEfGtvZ865VpuZdVowtcBjw7DR0n7QMb50qqRRhOtKtLgWAWcFCNfO+tZK7YRrzZ4mXGsCUjwUAk8/G5Vnno3mPIsbU2/rHr5V4i89LpHmryWhdhH+0XBJ9tkpFKaEa3u6cfalcWldn1vXTjsactLP+eFPpcLTZ8elvchklP79DDnhp8541v/uKok//8eCprbv933ZMOL8Sh/Bd9cTrn3XJTSohgUI1zXc+TY+OuFaE5NwrQlI8VAIFAswsbjIlAnOTQtXwbruj7fl+Bnde0rLzNtDYUq4tqcbi222V18nMvEi595Ne1ruv1o6Ctd77mHIsQ7NVKm7fY7UvfBoAUZi171l/bhL/YdUYYsI1xWCcTkCDgoQrh3EraGqCdeanU241gSkeCgEvNgtvOHKc81zb/M/LTNuE6NHr8C7Eq7t6cJi72YsJjKFc64rBv7NrTFZ8W5EIlkzww1D5CfD2mXANyuurqwC9XddK/HFv5fcm4p53nXr+Dll1eHniwjXfu4d2lZrAoTrWutxZ56XcK3pSrjWBKR4KASKnnNtiMxwcLdwwrX9r078lcVSv2i2tH/7ANnwy4n238CDGou9m926pTbh4lOZwOdfiFx7Q1w2bFBbhYu5ZXifPoacdrJzlvEHfyt1j96ec065CtptQ46WtuPGVPYAPryacO3DTqFJNStAuK7Zrrf1wQnXmpyEa01AiodCYOK0uJgrrq0RLUNEHXQ008FwXXRa+JZbScus34XClJFre7rx/gejsvT1qKgRVvMTETnumITssbszG3DZ02p/1XLjoph8+OHG4Wr1vR1NiiSjkvq+T38OPTgp+w+294iz6Af/loZZp288+ytimMF+w4jzpH3Qof6CqqI1hOsq0CiCgEMChGuHYGusWsK1ZocTrjUBPS4+eWpcjGhqEKZ//3b5+U88blBAbz9pejx3ZCl9Bu6MyQ6ua21eK/X33GBuaKY+yW12lA0n/YoNzTTeoTCOXKv9AFqsDc3So607bCdy8kkOvpsafeDHovnhuqM2OhKu/7VMGuacu/EHd+bNDVl/ygRJ7DPUj1wVtYlwXREXFyPgqADh2lHemqmccK3Z1YRrTUAPi+dPF1V/796VgF1Vj2Qss0YH1U8spjs4cl1VQwNUiJFrezqLDc3sccyu5a77YvKPf0TMGQC7OzwDoP7WORJfojY0S41Yp2bHRCS5w27Set7V9j+cyzUSrl0G53YIbEKAcM3rYYdATYTr+bc8KNfd/EDG64yTj5YxI47K/Hrl6k/llPGXyfsfrTZ/b86UMXLYkH0zX88uv+9eu8q8GWOla5cm8+uEazteQ/frmDI1Jka08LxWNXXUyXXC7j+pO3dUMwBy5oeqvwpjqYVPuNbiyxRmQzN7HL0K152uOk9i/1xa8BBGj97SMuNW+x/O5RoJ1y6DczsECNe8Aw4LhD5cr13XLDOvuk3OPnWY9O7ZXawgPW7ksWaAVl8fO2me7DOwvxm4X/37cplwyUKZfdFI2XuPfvLo4pfl6oX3yaK555vlL5i5wOySSyeOIlw7/HI6Wf2k6TGJZBYIb7yTIYbMmOzc5jzqTnV3XyfxJY+L0bW7tA4fJ7Lznk4+qit1q2nh5jrM9N2sf3d0WrgrT+bdTQjX9thPnhbPm1IsUlcnMomjuKoGdnXk+jezJfbXpwv+vOYorqq7j4IIINCBACPXvBp2CIQ+XOcjFQvTl1xzh8ybcZYZnvO/rsJ03z69MiPd+WGbkWs7XkP36/Bq5Lpp7I9E2tRWu+mPYUjbULXr7RnuI9h4RxWuN07Z3LiTMOG6emTCdfV22SXNzfYiqZkU5icisnk3kXPHsea6WmE3w3V0+VJpmPurTN+Z/2IYsuEnZ0j7QcdU+wi+KcfItW+6goYgIIRrXgI7BGouXKuR6TMvvlomnzPCHLnOD8sK1Rqdnnj28JxRbfW1/JFtwrUdr6E3dRQc0WOI7LKbg5ua/et1abL+kpj9yNGYNF+n1hQG9zNxemq3cCvAqHNwzd3CndzQLLhcZbWccF0WU8mL1LTwzL7g6TW73bqK/OocwnVJvA4ucDNcqyao3cKjH/478wM8Y8ue0nLxDSJNXat9BN+UI1z7pitoCAKEa94BWwRqJlxnr6vOXnOtwvVdDz2ds446P1wff+TQzBrs/HBtZIZDbOmPsio5f2q7qPNGfz0lLt23KKsIF+UJNLeIXDCtXVpa0hvkqKOjYiKXTYxLjy2d4fr68gul/a8vFFSuVn5vdtdzztzUpVp/eXa7uVu4CtXqo74tjIjIb66Ku9SC8N3m7geT8sTipAw7MiqHDs0+8Mi5Z2174UlpnjdN6gYPlaZx05y7kYs1jxzXnnkvrdtGoyIL5pb/bq5vS0pDfczFVvv7Vjf8NiF/fS0po0bEZJ+93Xk3NzzzJ0muWSnRrXpL3T7flUhn94K1k/+df/c9Q2ZfmZDtto3IxeN5x/z95tO6sAtErL/EhP1BeT5HBWomXFuK+dO+Gbl29P3ybeUvLonKo08U/qVwhx2S8osT7T2nNYMQ4pFrc1p47jHX5q+dnhaupozGX3pCop+slvaBg6V9v++HYjRL2TFybc8fH+YxceZPfNIDn2pWheHsGez2tNy/tbgxch1/5kGJvfrnkgjJXfeSth+eWPI6v17AyLVfe4Z21aIA08Jrsdftf+aaC9eKUO3+/d4Hq8xNydRINGuu7X+x/F7jtdfHZc3Hha1sbDTkovOc29Asf8212kCtfUg41lyrAJM9LVzNwHUyXMeWviCdFkzN6cTkzntK6/gr/P76ldU+wnVZTCUvKlj+wU72Jc1KXeBGuK67e77ULd54ykdHbWr/1gGyYeTEUk327dcJ177tGhpWgwKE6xrsdAceOfThWk0Hv+qme0Wtn1bHZ1nTw484ZLC5SRm7hTvwVgWgyrnz4vLFF+6Ha3XHTr8+S2Kr3xejvkHaDjtB2of8OABim26iFWBUuE4fQ+v4UVwNV54r0eXLChrWPOf+UIxeE67t+bZQ76Z6Ka3Ra/Uv7AegZ+tGuI5+/JFEPv8k09DoX5+Ruucelva9D5DEAUdkft/ourkke/fVeyAPSxOuPcTn1gjkCRCueSXsEAh9uFZIag31w08uyXhxzrUdr06w6/jzc1F58ulozhE9KhjuuKMhvzjRuZHrYKt13HovRgc7CtetE66XZJ+dAk9NuLanC83dwlVVWfsBqHA9awobmlUr7Ea4zm9b3RN3S939N0nbQcOkbVjqKMwwfAjXYehFniEsAoTrsPSkt89RE+HaSWJ2C3dS17m6P/8iInOujqU2OkqmNuJS05hP/Fm77LKzc/cNa81WgMk67Sg1OuhggKm/5XKJv/R4DqnR2Fla5v4+FMyEa3u6Ue1kb20XrjbdUxvtqW/7GQ6+m/a03L+1EK7t6xvCtX2W1ISArgDhWleQ8ubP8g0nt8GsAWPCdTA72drQzFwjbC4WTv2le7ddkvKz4x3a0CxNFfvrYon97Rkxem4rbd/5oUiP3sFEzGr1r6+Iy9fNuY/RuUnkwl85NzoYe+Vp6fSb2Ru3KFfd2LOPtExdFHhP9QCEa3u6cbKaFq7ejfTItfp3de71tEnOvZv2tNy/tRCu7esbwrV9ltSEgK4A4VpXkPKEaxveAcK1DYgeVHH3fTF54x9Zf9tOt6FvX0N+OcK5aeENs0+X6Afv5Dxx6/i5ktx5Dw8U7LvlbXdE5Z//ilozb82Bwl12Tsrwnzn3g4pO10+W2DK13CO9DbT5J1pEWHNdfb/GX1ks9YtmS/u3D5ANvwzuJlHZAuaSBfPdSP+uejmjItMJ11W/KITrqukKChKu7bOkJgR0BQjXuoKUJ1zb8A4Qrm1A9KCKF16KymOPFx7Ftftuhhw3zKFw/clKaZp0UsHTGj2+IS0zbvFAwb5bTk4fxZVf4/TJzo0Odrjm+pzLJdlvoH0P51FNjFzbA6+mhZtnsKd/BqNGsNU/sxx8N+1puX9rIVzb1zeEa/ssqQkBXQHCta4g5QnXNuQO5KMAACAASURBVLwDhGsbED2oYsV7Ir/5bTy15tr6GCKHfD8p3xnszGhr/Kl7pf7eBYVP29hZmgO+TrhouDZEpju4rrXYmmuF23z9Ex68UfbfknBtj6n1blorQFStajkIa66r9yVcV2+XX5JwbZ8lNSGgK0C41hWkPOHahneAcG0DogdVvPhSVB55PDWNOWmk1mCqv3wPOSApQw9wJlwLI9e29nTkk1WiRq8jn63J1Lth2GhpP+gYW+/jVWWEa3vkvdjJ3p6W+7cWwrV9fUO4ts+SmhDQFSBc6wpSnnBtwztAuLYB0YMq3no7KnfeXTgt/EAnw7WINE4aIZFP/pvzxOt/OUES3x7igYJ9tzR3C1c/oEhvF65mBKgfWji5W7jZ+ua1Ev0wtYbd2LKXGD162fdQHtdEuLanA9S7qd5Ha1q4+veEwVFcOrqEax293LKEa/ssqQkBXQHCta4g5QnXNrwDhGsbED2ooqVV5JLLUrsIZ3/OGZuQLTa3DpRypmH1t82R6MepgL3hiF8EfjMz9RxerLl2pnf8Uyvh2p6+uDjvnGt1Rpx5zvVU5/YDsKfl/q2FcG1f3xCu7bOkJgR0BQjXuoKUJ1zb8A4Qrm1A9KCKx56KyfMvRFKncKnNjtLTwnv2MOTMMQ5taObBc7p1S3XckQoseRsyO7rm2q1n8+o+hGt75FW4Tp+2pzYJN7/fzQ3NHNwPwJ6W+7cWwrV9fUO4ts+SmhDQFSBc6wpS3pVwvXZds4ydNE9efu1t6bZZZ7l21jjZefttzN/bZ2B/GTPiqED3BOE6mN03fVZc2otkaEMMmTGZcF1pr6qRa3PDqPSgvwovKtA4uVt4pW0M2vWEa3t6TK25tjYzs0K2qtmJDc3q/lDerv+J7x4uyc272/OAHtRCuLYPnXBtnyU1IaArQLjWFaS8K+H6gpkLpG+fXjL82O/LRbNvklNO+IHsvUc/eXTxy3LXQ0/LvBljpWuXpsD2BuE6mF2nRlozw6xZj0C4rq4/i3o6vFt4dS0NTinCtT19ZU4Lz19zraaFO3AUV9Po75fV6NYLr5Nk335lXevHiwjX9vUK4do+S2pCQFeAcK0rSHnHw/XK1Z/K2EnXyEVn/cwcrc4O16/+fblccs0dMm/GWdK7Z3B/gk+4DuY30uSZcRE1QJ13FJe5CRdrMSvuVBWu1Wi1OURo/smSGsV28iiuihsZsAKEa3s6rCBcS+pb34lp4fkj1/Gn7pPI+hZpO2iYSKeGzAMxcl1539Y9cbfU3X+Tadk2bFTlFfi0BOHapx1Ds2pSgHBdk91u+0NHDMPa39f2umVT4ZqR6+q9r7gqJl99FZHx4xKyeTdnN9+qvpX+LjltVlza2lJrrTMLMg2RJGsxq+o4r447ii5fKrHly8w2G01dpH1oOI7hUs9DuK7qVSwoNHF6auPCaPqEPSOaWnft+E726nSAC4+XyJefScsld4qxeQ97HsgHtTBybV8nEK7ts6QmBHQFCNe6gpRXAo6Ga3WD+bc8KK8sfUtmX3iqzLr6dnNaeO+tussp4y+TIw4ZzJrrKt5DwnUVaHlF1F+41V+wsw/jMn/MFHHnL936T+CvGiZNTR13ZI5ep9deK88ZDs4CUMG64crzciASew6W9adP8xdOla0hXFcJl1fs4qmpaeGpFzM1u8L8IZoD08LzW0y4tqcPVS2MXNtnSU0IIFBcgHDNm2GHgOPhWjVSjVKfO21+TnvnTBkjhw3Z145n8LQOpoV7yl/1zSfNiImRTO8Wbv2dW01lTjobCKtusM8LqpFrNTAYTU+kUOElpjY0c3BH5k7XT5bYsiUFMs1z7hdp6upzsdLNI1yXNirnCuuca2s7e5WvE4Trcug6vIaRay2+nMKMXNtnSU3BF4gtfUGiH75jPoj6YXmyz06uPhTh2lXu0N7MlXAdWj0RIVwHs3cvvTwu675Orw1WI64qFKp/YiIzJnH+baW9qkYHY+Y5R+mSEZGE4cy6VqttDVeeK9H0lPDs9raec7kk+w2s9BF8dz3h2p4umTg1bk5RyUwLj4iovRXcOOeakWt7+lDVwsi1fZbUhIAfBervmS/xpx/Iadr6UVMlMXB/15pLuHaNOtQ3cjxcq93C13z6ec6u4NbxXBzFVd27xbTw6tyyS12SDtdqKrPaeEtNZzbPu46LzJxIuK5U2BwdzD7vKJkydXJda/0tl0v8pccLmtp8/ROVNt+X1xOu7ekWtQREzUhRH/P7PL1swY2NCwnX9vQh4do+R2pCwK8CxU5bSPYbIK3nzHGtyYRr16hDfSNHw7UVoo8/cmjBFHA2NKv+vSJcV29nlcyZxpxej6n+/q3+1clAGPlkldT96TaJfrLabEr7oEPMf4L+UeG62MdJy/ifH5b6O65K70qXDk89viEtM8o7a9jv5oRre3rI+sGPefa6+gZPf6M7cc51fosJ1/b0IeHaPkdqQsCvAoRrv/YM7apUwNFwnb1buDrbOvvDUVyVdtXG6wnX1dtlwvXU1NFRaqMjc8Q6/f9qVMvJQNgw6/TMeiKrLRtO+pW0DzpU/6E8rOFiNTqoHNU/Kr+kNzdzctMoc1r4P1/PfepIRFhzXf2LEH9lsdQvmi3t3z5ANvxyYvUV+aikOXKdHq02m6WmhSfdOXKPcG3fi8C0cPssqQkBPwo0jv+xRFrUer2Nn8SAQbJ+9HTXmsvItWvUob6Ro+GakWtn3h3Ctb6rWiNsTglP/2XbrFHtIuzgWkw1at04aXhB493+j4e+XmENKlzHrGnhaUunN43qcM31hOtd3wTFCVNGru1RVWewq+9tdQSX+e2ulixERWawW3jVwGxoVjVdQUE2NLPPkpqCLRB/6n6pv/f6zEMYjZ1l/elTXd1DhXAd7HfIL613NFyrh1TTv6dfeYtcO2ucWKPXatT6zIuvlhOPPYSjuKp4EwjXVaDlFZk0My7JRJGjuNTItUPHRxU7Oko1y+01Rfp6hTWoTaPUDyvSS1vNI87Ms4QdslQtUMdwKdPsjxGNSst1jznxiK7XSbi2h7zgDHYVtB0+Js5qOSPX9vShqoWRa/ssqQkBvwpEP/i3ObvPaOwiyW12FKNHL1ebSrh2lTu0N3M8XCs5K0x/+dXG6R4cxVX9O0W4rt7OKjl1Zlza21MbHFnHR5lBN2LIrCkJ/Rt0UEPjGYdIRA2PZ33CMnKtRgfN0Wu3poXPGiXRD/6Tnn6gBicNcyZC85wHOIqryjc4jNPC1SwV9dOeWPonP2pGhXpRnFyyQLiu8gXcRDHCtf2m1IgAArkChGveCDsEXAnXdjTUr3VwFJdfe2bT7Zo4Iy5GMpXL1D8qZKdSoXOjralp4SemditOTUg356IndttH1p91STAh0622poVbjmrttdPTwhsvOE4iX32ems+fOQIsIq1MCy94l+JvviKRd94s+Y5FVq6Q+GvPS6J3X0nu9d2S10vnrtI29JjS13l4hTktPPt7PD1y7eSsCsK1/R1OuLbflBoRQIBwzTtgvwDhWtOUcK0J6FFxc821CrnW0TzWLsIiMsOhqcw508LNg7XTDairl+Z5f/RIwp7bejEtvPG8YRJZ92XOA6jR6/UTbmDNdV631t09X+oW554fakfPG1tuJS2zfmdHVY7VoaaFZ4drNVNFffexW3j15Ky5rt4uvyRrru2zpKbgC6hp4bHXXxSjqYskBgxmWnjwu7Qmn4BwrdnthGtNQI+Kq3BtrgtW08LT64NV2nZyt/D4/TdJ3RN3ZY1apx/eMKT5hic9krDntubRZsoyPfU2GU25OrlpVNPZR4i0tuQcxaV6kGnhhX1qhetkj95ibN5Dv9Pb2yS24m0JQrguulu42g9givPn2bPmWv9Vs2pg5No+S2pCwI8CdQ/fKnV/vC2naa3nXM6GZn7sLNq0SQFHwrU6guuU8ZfJCT8eKnf+/ml5/6PUmb75n2237imL5p4vvXt2D2w3Ea6D2XXFdgtXg8kqXM9y6C/d9dddLPE3/lIwLVztrtR8w1PBhEy3Wo1cq2PNzE/6hxRq2r2TU2+bxhyS2pkqZ1q4yPpTJkhin6GB9lSNt3NDs/p75kv86Qck0f9bkty+v75N8zqpe+b3ktxyK2n1+ci1+W7mTQtXPwhy6vs8G5dwrf+qEa7tM6QmBPwswDnXfu4d2laJgCPhupIGBP1awnUwe1CtEVYfNdKau72Yg4Hwk5XSNHH4xkO1zSAaESMWl5ZrHwkmZLrV5qZRWZvDqfCiYGc5NMVe3bbp9IM3pvn0jyzUTVuPGyNJn68DLqezCdflKJW+5uJpqR/8WPsImkHb4fPsrVYRrkv3T7lXMHJdrhTXIRBMAcJ1MPuNVhcKOBqu1Qj22EnXyEVn/SxzDFfYOoFwHcweVUdxiTUrNB0E02OgjgbCxnFHSGR9eipzet31hp+cLu0HDQsmpBWup6XWsG/cWCw15d7JHZmbTj9IJJI+vNjSMwxp33OQbBg9I9CeqvGEa3u6cKL1bqpz7dOzU5w+Jo5wbU/fZddCuLbflBoR8JMA4dpPvUFbdAQI1zp6IkK41gT0qLi15tq8/caNu811w05OF40tfUE6LZwp0t5m3jrZu6+0nndV4I+OUgHG3CgqnXUjSXWsmbPrWptGHZxeMJ96iVSYV13ZdvAwaTv2dI/eLPtuS7i2xzI7XJvf7kZqFNvJJQuEa3v6jnBtvyM1IuBXAdZc+7VnaFelAo6Ga9WYC2YukCH77yWHDdm30rYF4nrCdSC6qaCROWuu1ZB1VDJHczm1W7hqROP4H0ukZeN57+r32n40XNoOPymYkOlWT1LTwlXAzQrX6tdOWjaNHCpGXdQMS6kfkKQWe7eOvEiS32bNdfYLVWtrrr9aG5G//i0lsPjZWGrRgDVDxUi9LkMOTJ1nP/TA/IUh9n0rMi3cPktGru2zpCYE/CqQ2S28sYsk9mS3cL/2E+3atIDj4frVvy+XRXc+IpdMOFW6dmkKXX8QroPZpZmRazXaqTJZ+u/XTq7FzDmKK4stueM3pfVXVwUTMt1qta7VPNrMclSmjk8LHyqSMERi6akHaoq4IdI88zaRHr0D7akaz8h19V340UcRWfCbWOoHPump4NYCgswpeOnfmD7ZuV3DCdfV92F+ScK1fZbUhIBfBeJP3S+xf72eOYorMXB/V5v6je6Nrt6Pm4VTwNFwbe0azm7h9r48V1wVk6++isj4cQnZvJtzoy72ttpftWWHa2udsIpoCQenhUc+WSWNk4YXQBg9t5GWqTf7C6jC1mTODU+Xc2P9etPogwt3oxNDEtvubJ51HfQP4br6HsweuX722ai0S8RctqA+6rS4xiZDBu+bOjeOkevKnTnnunKzjkpwzrV9ltQUbIFO10+W2LIlOQ+xYdhoaT/oGNcejHDtGnWob+RouA61XPrhGLkOZi+bu1ur2eDpqaJq2NXaTdipHa7Nkeu5521c420F0ZCEa3Po2vpZj1u7hVvr5ZWlGioXQzbsN1TafzEhmC9mVqsJ1/Z04edfiNx+Z0xWrUktyt9tF0OOOSohjQ321L+pWhi5ts+YkWv7LKkJAT8KsKGZH3uFNlUjQLiuRi2rDOFaE9Cj4hdPi5lhLHuvabUBV0QMmTkltRbT7o85cj3xxNTa4Kz508ltd5LWCdfbfTtX61NHm6lNzMxsbe3K7OAsAHWbplFDxYhGJZLZkS41B7j5hiddfXanbka4tk9WjWRfcWVMunYx5Lzxznx/F2st4dq+PiRc22dJTQj4UYBw7cdeoU3VCLgSruff8qBcd/MDmfZ126yzXDtrXCiO5yJcV/PaeV/GnBYeTQ0iqzWY5rpr1aykc5twpcK1Ouc69/mNbltKy6/v8h5FowWeTAsfNTS9S1Uq0Vu7hZvnXA9xbxqZBtsmixKu7ZMlXNtnqWpiWrh9nkwLt8+SmoItUGzD18SAQbJ+9HTXHoxp4a5Rh/pGjodrFaz/8PiLsmju+dK7Z3cTU21ydubFV8vkc0YEfhdxwnUwvz9yNjRL7zat/k9NDXdqWnj8qXul/h61Fjhr5FrxNXaR5rm/Dxzk+g0ReeHFVLOfelbNBMh6hPQPEA46IDVKuP9+Ip0a7N0fILPmWnWamt+f3jG8vc+OsoE11znvU63tFp7/zUS4tvePF8K1fZ6Ea/ssqSnYAuqo0vpbL8+cqGJsuZWsP32aJPvs5NqDEa5dow71jRwN19aGZuNGHlsQoh9d/LLc9dDTMm/G2EDvIk64Dub3R8E512pH4fTotVPnXKuR64ZJJ+ZOY1Yj5917SYva4Tpgn7VrI3L5lakdmdWm3dm7rlv/bm3k7cTme02nH5w1cp3GMwxpPXeOJHfeM2Cahc1l5Nq+LiRc22epaiJcl/b88MOILP936evUu/nqa1Hp0sWQb++d2mSv1MfJTfhK3ZuvI+CoQPNaiX74jnmLZL+Bjt6qWOWEa9fJQ3lDx8P12EnXyEVn/axgCrgavb7kmjtk3oyzMiPaQRQmXAex10RyzrlOj7KaO1wnnRu5lua10jT+6PT0ZWtuuCHJXttK65RFgYPMHrle/HxUjHbrSKzUxmaRuCFDvpP6y6IjI9cjvycSr0/P7d8YrpMRQ1pveDpwnvkNJlzb14WEa/ssCdflWS75S1QeeSx7V4/yypVzlZPHx5Vzf65BIKwChOuw9qy7z+VouF67rlnGTponxx85tGDkmnBdfUdzFFf1dlbJzG7h6u8+aiMutf46mTqmx6lp4dFlL0rD/MlZO36lh3sjUWme/7j+Q3lYg9qRedEtMfnsi1TA3nJzQ04ZkZAtNneuUU2jDkqNXLe3icTrMjdKJtul9cZnnLuxSzUTru2DJlzbZ0m4Ls/SCtebdTVkiy3sWRLz3vupsE64Lq8PuAqBSgUI15WKcX0xAUfDtbphR9O/1Vrs9z5YJZdOHBXonmHkOpjdlwnX6eabo9bpgVenpoVHX3lKGhb9uhAsRDtcT56eOuJs2qR2M/c6+Wk6XW1olpqWnvkYhrScMVOMPfZz8tau1E24to+ZcG2fJeG6PMsXl0Tl0SeisvU3DNl5p/Kme5eq+Zk/p/68c+PP11Jt4esIOCUQ/eDfYjR2EaNHL6du0WG9hGvXyUN5Q0fDtbXm+v2PVpfE23brnjmbnpUs4JMLCNc+6YgKm2GGazVarQaPDZFkegRbVePUyHXDqCESjaq/HOVvF56U5hueqvAJ/Hm5q+H61ANF4vHMRmrmbuGGSNueg6XNxd1FneoJwrV9soRr+ywJ1+VZEq7Lc+IqBCyB6PKl0nDDNJGWdeZvJfvsKOtPm+pqyCZc8z7aIeBouLajgX6vg3Dt9x4q3j4zXKczblSF66zLnArX8ZEHSX2d2jXNPADMvKMZCJOGNC8gXFf6JpkbmiXaU3P64+m1jcmkbPje4dJ+4vhKq/Pd9YRr+7qEcG2fJeG6PEvCdXlOXIWAJcBRXLwLYREgXGv2JOFaE9Cj4uZu4Rszbuq864izR3FF/rVMGudmhb7MMjyDkesK3oO6J+8RaWmWuod/KxKNmT+miKR60Pxf+37fN3dgT+wzVJK9+lRQs78uJVzb1x+Ea/ssCdflWRKuy3PiKgQsgabR3y/ASPYbIK3nzHENiZFr16hDfSPCtWb3Eq41AT0qbo1cq0imphKba67TbXFs5Fqdc33nfJG4mhqevlt69Lz5+ic9krD3tm5MC2+44HiJfvWZSCIhEovmTgs3HyeFun7UVEkM3N/eB3SxNifCtd3NT265lbTO+p3d1dpeH+HaXlI7j+KK/+1Zifx3RckGRt99U2JvvSqJHfpLctdvlbze6N5T2gcfVvI6py4gXDslS71hFSBch7Vna++5CNeafU641gT0qHgmXKs116kNw9USbEd3C6+7doLUvfFyOvylb5zO2M03EK7LfRWskWtpWy/x5/4okea1IlG1gD4qif7fkuR2u5pVMXK9UbT+nvkSf/qBconLvo5wvWmqxguPl8iXn0nLJXeKsXmPsl39fqGd4br+xmkSf+152x85scM3Zf15V9leb7kVEq7LleI6BFICDdNPlejK3B+0qZloG0ac7xoRI9euUYf6RoRrze4lXGsCelTcPOc6fe+s2eHmeLJTI9d1c8+Vun+9XmRDs4Q0h+BcZsXpxsh1/itj/gf5v+9K64XXSXK7XTx6o+y/rRMj1+YPH7bvr9/Y5nVS98zvhXBNuN59d71jpqxwney1rRhdumm/m5HWZol++I4QrrUpqQABVwUaxx0ukfWtOXu+Jr65r6w/c7Zr7SBcu0Yd6hsRrjW7l3CtCehRcTNcp1O1Fa6tfcacCtfxh26W+j/dkX7irGnhhggj19W/CA2XnCHR95dL6wXXEq47YLRGrgnXhpw3PlH9y1ZhSUauS4N1unGaxF57XhJ7fVeSvfuWLlDiiuhnayT20uOS2GE3WX/e1dr1VVsBI9fVylGuVgWKTQs3NttCWi692zUSwrVr1KG+EeFas3sJ15qAHhW3zrlWt886hctsjVPhuu62K6TuuT+Zm3CZC73TK68jiaQ03/i0RxL23taTkWvCdclOJFxH5IorY9K1C+G65MtSxgV2TgsnXJcBnr6Ec67Lt+LK4AkUC9fS2Fma5/7etYchXLtGHeobEa41u9fOcL1iRfo4oRJtuuveiHzdHJHjhiWkS1PemclFyv7PVoZ0btKbuqfJ5Lvi1rRwpZIJ1+khbKfCdf2M0yT+4TtiDpmbC72tbdQiHMWl8YYwcl0aj3BNuC79lpR/BeG6tBUj16WNuAKBbIGm0QcXLJtTs1laJy90DYpw7Rp1qG9EuNbsXrvC9bp1EblsrtpF2v7P8cMS8s3dCNfZspmR64iIec511vC1U+G6YdwPJbphw8ZtyVWDVNA2khzFpfHaE65L4xGuCdel35LyryBcl7YiXJc24goEsgUarjxXov9U+9KkPxGRth+dJG2Hn+QaFOHaNepQ34hwrdm9ToTrbpvZE4S/bhZpb48I4bqwk81zrvN2CbfWXjsVrjtd9FOJfbomNS08c/CXahvnXOt8GxKuS+sRrgnXpd+S8q8gXJe2IlyXNuIKBLIFIp+skro/3iax5UvFaOoqiT0HS9vQo0WauroGRbh2jTrUN6qJcH3BzAXy8JNLMh15xslHy5gRR2V+vXL1p3LK+Mvk/Y9Wm783Z8oYOWzIvpmvz7/lQbnu5tQxNvvutavMmzFWunZpMn9tV7i2zmGtrxcZvJ89G+78462ofPxxRI47JiG6O7qG7bsgf7fwVMRN/eNYuJ5+qsT++5/caU+GGjZvl+abng0FMWuu7etGdgu3z5Jzru2zVDURrkt7Eq5LG3EFAvkCKmBHPkv9XTy5zQ6uBmt1T8I176QdAqEP12vXNcvMq26Ts08dJr17dpdX/75czrz4apl8zggzQKuvj500T/YZ2N8M3OrrEy5ZKLMvGil779FPHl38sly98D5ZNPd8s7wK6upz6cRRhGs73kCP6rCmhZvLn92aFj72RxLdsN4M8OZK+URCJB4TaU9I802LPZKw97aE69Kef3stKl9+WXp2yr//E5UPP4zIjjskpc82pa/vuZV0uPyDkWtGrku/meVfQbgubUW4Lm3EFQhkC8SXPCb1t16x8bcau0jrOZdLss9OrkERrl2jDvWNQh+u83uvWJi+5Jo7ZN6Ms8zwnP91Fab79umVGenOD9uMXAfz+yOzoVlUJJoUSVprr50cuVbTwj9bk9pCLaJuKmJEIhJR08IXsFt4tW9S0KaF37goZoZmuz/f7J+U43+SLFot4Zpwbef7RrgurUm4Lm3EFQhkCzSO/7FEWr7OQUkMGCTrR093DYpw7Rp1qG9Uc+HamgI+buSx5sh1flhWvW2NTk88e3jOqLb6Wv7INuE6mN8f2dPCs5/AyWnh0ef/KA23z82aFm6k5qFH1JprwnW1b1JQw3WvnoZ06lR6RLqUS3OzyMefRIVw3bEU08JLvUWVfZ1wXdqLcF3ayI4rVrxX3g8qe/UUaWjQ//PWjjZTR3GBoudc99xGWqbe7BoZ4do16lDfqObCdf60bhWu73ro6Zx11Pnh+vgjh2bWYOeH6/ZE8ZGiSt+aL74UuXBaQjp1Ejn4gPL+Y1HqHq8uE1m5ypCRw6Py7b3sqbPUPYPy9VPPTphzs7MPPzN70hC56Spndm3/+vjBYkRi6Wnh1vZpSYm0J6TzvS8FhW6T7Tx9fGq/gOvnxMyN0N34NF98miT/87Y0zVgg0Z36u3FLrXtcOi8p764wZNC+Edlyc62qzMLqe1x9r+89ICKn/aL4cX7rb50nbY/cK7E99pXYzrtp39T4ep20PXavRHr0lM7X3KNdn9MVWH++dttM5NKplX9/t7UnpS5e3lGJ2c/y9egfi/HFZ9J5/v0S2aKH04/pWv033ZqUvy21578trVdOkvaXn5X4/x4o0a23034G45PV0vbnRyTab3dpmjZfu75qK3jqGUPueSgp220r8s1d7fnD8I+Pp8Khm3++Vvv8bpWz/ptT6n7jx8Skn3uzi0s1h68XEVh3wvcKfjfS1Fk6/+YR17ziscr/nHetcdwoMAI1Fa5VaF7z6ec5QVp35Hr15622dPZXX4lcOjcmakOz/QfZE9jfeFNtaCby02FJ2WN3fmKb3VEXTo6Z656Lqfx6uj0byuW/GHWnfE+i8ToRtYmZWuitWpD+v/U3hmPk+uJ0cJk5JeFauK6ffYZE3vunbLjwWjG239WW70cnK7lhYVQ++DAiew1Myubd9O+0Zo2I2rxw990MOeG44n92xO+eL7Gn7pfkbt+W5PY2/ACieZ3EFz8gxpZbyYZL7tB/CIdrsP587dpV5MJzK//+NsQQtYCj0k/9+cdJ5MvPZMOl/yfG5uEJ13feE5U3/hGx5b8tdQumSfTV5ySx9/fE6N23UuLCv4x/tlpiSx6X5A67SdsF87Trq7aCF16MyJ8eoVeRjQAAIABJREFUj8o2Wxuy8072/Pd38bOpv/i7+edrtc/vVrmbbs4NQ6tWibSuj4iaGdTQsLEVh//AkN697OkHt56t1u7T6bSD0xvSbHxyo0cv2TDrdtcoem6R9dK4dlduFDaBmgnXxYK16kw1Es2a67C91qWfJ7PmOutS62gup3YLbxg1VKIRtd56Y6o31IZq7Ulpvikc4ZoNzUq/e9aaaxWu7Th2T4XrN9+OMS18E/RMCy/9XlZyBdPCS2sxLby0kRNX/Oa3MXnv/YicclJSttvOnoEKJ9pJnYUCjaO/b+5BY36s/9tsS2m57G7XuJgW7hp1qG9UE+E6fyp4do+yW3io3+8OH87aLTyaNRhlTQt3LFyP/I5EY50kM6RrHsOVEDES0rzwuVB0BOG6dDcSrksb2X0F4dpeUcJ1aU/CdWkjJ64gXDuh6k6dTaMPzlo2pwK2Icm+/aT1IveWdxCu3enrsN8l9OE6/wxrq0Ozz6vmnOuwv+aFz2eFa3Pdtcq4WaPJToXrTqcfKrH2NpFY+vwvcwg7ItLeLs0LnwlFJxCuS3cj4bq0kd1XEK7tFSVcl/YkXJc2cuIKwrUTqu7UaW5opgYdsj7JXfaU1nPmuNMAzrl2zTnsNwp9uHa6A9kt3GlhZ+rPjFyr6tPB2grYToXr+ouHS/yT/6ZGrq3/gCQ2mA1oXvhnZx7U5VoJ16XBCdeljey+gnBtryjhurQn4bq0kRNXEK6dUHWnzk7XT5bYsiU5N9swbLS0H3SMOw0gXLvmHPYbEa41e5hwrQnoUfHMyHXq1Gl15HTm41S4bjjtQHOU3AzXaj66+ne123w0Is03LvZIwt7bEq5LexKuSxvZfQXh2l5RwnVpT8J1aSMnriBcO6HqUp3NayW+5AmJL3tBjIbOkhi4v7QPOtSlm6duw7RwV7lDezPCtWbXEq41AT0q7km4HjlUoirJq3BtrvVOD5kn1IZmhOtqX4WgnnPNhmbV9njl5ewM15GWryX+5L1lNSL+1H0SWd8ibQcNE+lUehfaxD5DJdmrT1l1e3mRE+Ha7udJ7LCbrD/varurLbs+wnXZVLZeSLi2lbPmKiNc11yXO/LAhGtNVsK1JqBHxc1wnV76nD4NK3Msl2Mj16cfJFHzGK700SHq381/VLhmzXW1rwLhmt3CS707tobrz9ZI48U/L3XLqr6+ftRUc7TG7x/CdekeIlyXNqrkCmtWVCVlyrn2wO8lZOiBHNFVjlUtXEO4roVedv4ZCdeaxoRrTUCPimePXFsbhlv/eXUsXI8cIlFZLxJvSj21oSajGyKJ9dK88EWPJOy9LdPCS3syLby0kd1XOBGujXidJLez51z16Mr3JPL1V1LL4Tqx13clacM519HP1kjspceFkWu7v4u8rY9w7a1/rdydcF0rPe3scxKuNX0J15qAHhX3Zlr4EImqtdbJVpG4miIaTY1cJ9RRXIxcV/sqMHLNyHWpd8fWcP3pammceKIYjZ2lfcjRpW5d1tfjf3tGIqs/lPWjpkhi4HfKKuPlRU6MXBOuS/foM3+OmRdNm9SeOdGxdKlwXGGFazXSbMfn3RURee/9qDBybYemPXXE/rpYOv3uapHWr1PjD//TW1rGXirSo7c9NyijFsJ1GUhcUlKAcF2SaNMXEK41AT0q7km4Pu0giapzrdXCa3O4XJ0BpqaFc861zmtAuC4druvuni91ix+QZI/eYmzeQ4c7Vba9TWIr3hZjy62kZdbv9OtzuAbCtb3AhOvSnkwLL21UyRWE60q0gnlt09gfibSpE1Q2fpJ9dpTWCTe49kCEa9eoQ30jwrVm9xKuNQE9Km6F6/RJ0xt3C4+IzJrS7kirGk4dIlFjvUisMTVirUK2mhqe2CDNC5935J5uV8q08NLiXkwLt8J16dZVdgXhmpHr3XfXW6/a6cZpEnvteWHkuvT3HiPXYo402/Fh5NoORXvrMM+5zv80dpbmub+390abqI1w7Rp1qG9EuNbsXsK1JqBHxT0ZuR55oETNIeuESDxu7hZuJA2JqKO4bnjKIwl7b0u4Lu3pRbiOv/mKRN55s2TjIitXSFwFnd59JbnXd0teL527SttQ984gLd2g4lcwcl2tXPFyjFyX9mTkurRRJVcwcl2JVjCvJVwHs99odaEA4VrzrSBcawJ6VDw/XKuxF+c3NPueRKMxEfWP+qicnVQj1+3SvPDPHknYe1vCdWlPL8J16Valroi/sljqF82W9m8fIBt+ObHcYr6/jnBtbxcRrkt7Eq5LG1VyBeG6Eq1gXsu08GD2G60mXNv+DhCubSd1pcL8aeGuhOtTD5SosSE1LVydda0+KlwnW9ktXKPXWXNdes11ubyE69JSETY0E8J16fdkyV+i8shjUelUb0hD6SPOS1coIl9+lfrvxvTJzixdKqsRHl1EuPYI3sXbxu+8Vuqf/b0Y6WNS1dK51pMvkOQ+B7nWCqaFu0Yd6hsxcq3ZvYRrTUCPirs5LTzy6SqJv/SExB5YqPYHF5G21G7haumYWnstG6Tt6NNTX/nRcI9E7LktI9elHRm5Lm1k9xWMXJcnuuSlqLS0ll5D/Y+3ovLxxxHZbdekbLVV6ev79InIzjuqowcLP2Ffc12efGVXsVt4ZV7FrmbNtb6h3TU0jv+xRFpSO4Vbn8SAQbJ+9HS7b9VhfYRr16hDfSPCtWb3Eq41AT0qboVrFXaTEZHo/7d3JmByFHXj/vXsvUlIgEASMAdHwg1BkdMDwo0cD5iAFyIQTMJ9KVcAuRKUO0ACBEEURZFDFOSIJOin8n2oJIG/gCFAgKAEORICe0/3/+mZ7c3s7OxW9VZNd0/vOz4+mp1fHf3+ao53qrrK37i7sy+2z7muWrZU6m44V6Td38ysSiTbuZlZsBDdbRepaci13jRvQUxE7DSLXKs5ItdqRrYjkGs9otfeWCUfd86O6pXQi9pjN1cOPnBgyXUwc73RcFc23USPkypqyQv5n2eZuVaRUj+PXKsZRR1R6p5rd5Nx0nLx/Mi6glxHhjrVDSHXhulFrg0BxlS8eOba70a55Do3c/3XJ3NXWvPI7Z3Lwjtne7JZcb12yR4xLfd8+2HHxUTETrPItZojcq1mZDsCudYjGsj1ppu4+T0XDR8+948+cmQgyjX3XBsOnqLiLAu3yzOJtZXc0Ky2Vppueiyy7iLXkaFOdUPItWF6kWtDgDEVL7Us3L+bzVde2zPX3S7x7wul4bYrxfG/uHqeuIPWk5brH4mJgv1mkWs1U+Razch2BHKtRzSQ6912daWhXr3cW1XrypWOLH89g1xvWXrWXsWv+HmO4uIorrBjppLiG2fs17nTa0Gva+qkac6jkV0Gch0Z6lQ3hFwbphe5NgQYU/HCZeG5XbvLuCy8+BKDZeLZ8TtK69nXxUSgPM0i12quyLWake0I5FqPKHKtx0kniplrHUr6Mcxc67Oq1MjczHVuH5qCR60v18xcV2pOB2q/kWvDzCPXhgBjKh7HUVzBpSLXdpPObuHsFq4aUci1ilD+eeRaj5NOFHKtQ0k/BrnWZ1WpkY3T91t3kkrnRXgNg6T5+t9EdknMXEeGOtUNIdeG6UWuDQFGXPyjNY6sWS0y/+7Os6Y7FyEV/lZ60vFZqasXGTXCfFlkqctDru0mHblGrlUjCrlWEYpPrmvvuEyqF/9Z3JFjxBs8VK+jfUQ5LU2SWfmaZDffTlq/d6Nxff2tALnuL7nS5ZBruzyTWFtuWXi3r12euJttIy3n3RJZd5HryFCnuiHk2jC9yLUhwIiLL3zGEf++tWzBLXD+/quF51xXZUTGjvHkxO/4Z2XZfyDXdpki18i1akQh1ypC8cu1Xg/1o5BrfVaVEBnIte2+7v2lrEzauzw/pNvua9rrK7mhWeNgabru4cguHbmODHWqG0KuDdNrS67XrnXkmhuqxBe7z3zGzuYn/33fkaYmR46enJXtt+XDw0/14qUZeX6xI6+v8G+0zj9yx3EF/3BENh/ryaiRnhxykJ08FA8x5NrwRVdUHLlGrlUjCrlWEYpPrqv/8Udx/r1C2cHMGy9J1cvPS3bzbcTd+nPKeG/DEdKx50HKuHIFMHNtlyxybZdnEmsrtSxc/Huub2JDsyTmiz71TgC5NhwdtuQ6+PJn2J2SxY8+Kivbb49cF8L5aLV/f2H+rJlgl3D//2+1tSvf/lp5pDpoH7m2O8qRa+RaNaLKIdeqNvvzfOu0SyU78Qv9KWqlTBz3XOt2vGbB/VLz0Hxp33eytE/OH12Y5AdybTc7LAu3yzOJtZXc0KyqSppuzR9lGsWDmesoKKe/DeTaMMe25JqZa8NE9KP4f1Y5MndeVW5JuCOejN/aK7tY+91ErvuRrD6KINfItWpEIdcqQvnnkWs9TjpRyLUOJf0Y5FqfVaVGlpy59jxpuu0PkV0Sch0Z6lQ3hFwbpteWXAdf/mprRfbc3c69vv98OSP//a8jzFz3nuTgHuwo77tCrg1fdEXFkWvkWjWiyiHX/i62HfscqWpa6/nqfzwjzqqVwsx177iYuZbcfiH+47KLO8RZd2eT1hir9CDkutIzqO5/14Zmjj/d4YmTW3Dpy/XT6sKWIpBrSyAHeDXIteEAQK4NAcZcHLm2mwCb51z7P0LoPGp+caNkVq2U9m+cIe6I0coi3kabiLv+Rsq4cgVwznW5yPZeL3Ktx5yZaz1OOlHMXOtQ0o9BrvVZVWpkw4z9OoW64AocR5rmLYjskpDryFCnuiHk2jC9yLUhwJiLI9d2E2BTrkvuHGqhu+1TZkj7pKMs1NS/KpDr/nEzKYVc69FDrvU46UQh1zqU9GOQa31WlRrZMH3f3DnX/n9yD88TcTLSNO+pyC4JuY4MdaobQq4N04tcGwKMuThybTcB5ZBrb4ON7XSyaa04Lc2CXPeOs/pvi6T2rlnSscuXpe3EmXa4J6AW5FovCci1HiedKORah5J+DHKtz6pSI/1l4V42K04muOchI7ndwuc8FtklIdeRoU51Q8i1YXqRa0OAMRdHru0mwJpcu1lpPCV/jE77Id+y0smql/4umRWvSNvkGdKxb3wz1/PvqpK3VzoyfktPBjWa7+K/+mNHVqxwZLttPTlmstl+Dci1eqg5H6yShpnfEu65VrNaudKR5a9nZI/dXDn4QLNTGLjnmnuu/RHn749i4/HGCkfefCuTq49zrm0QNa+j5G7hjkjTPDY0M6dLDVESQK4NaSPXhgBjLo5c200Acq3mGSwLV0eGi9huG1eOmWImMMi1mjlyrWYURCDXGdl0E0/Gb2n2ugx4sqEZcq3/6qu8SHYLr7yc0ePSBJBrw5GBXBsCjLk4cm03Aci1mmcwcz14kCdV+c1/jR7t7SJNzcxc9wWRZeF6Q4xl4XqcdKJYFq5DST+GZeH6rCo1Mj9z7fc+f0CqeK5Ixt/QjJnrSs3pQO03cm2YeeTaEGDMxZFruwlArtU82dBMzch2BHKtRxS51uOkE4Vc61DSj0Gu9VlVamTj9P1zTt394SHXlZrQAdxv5Now+ci1IcCYiyPXdhOAXKt5ItdqRrYjkGs9osi1HiedKORah5J+DHKtz6pSIxtPmiRSlRHPkfyRXP7kdV2dNN/IhmaVmtOB2m/k2jDzyLUhwJiLI9d2E4Bcq3ki12pGtiOQaz2iyLUeJ50o5FqHkn4Mcq3PqlIjSy0Ld7eeKC1nXRfZJbFbeGSoU90Qcm2YXuTaEGDMxZFruwlArtU8kWs1I92Il17OyC9/ndENDxV39hlZGTa0527ubGimj5ENzdjQTH+09B2JXNsimax6qpYtlbobzu2jU51T2OLvGr6g7J1HrsuOeEA0gFwbphm5NgQYc3Hk2m4CkGs1T+RazUg3ArnWJaUXx8y1HiedKGaudSjpxyDX+qwqKbKbXK/z6IJLQK4rKZ/0NU8AuTYcCci1IcCYiyPXdhOAXKt5ItdqRroRgVwPH+7J9tvaOe7o2f/LSGurI8xcm5/Bzsw1M9e6r2VVHHKtImT+/OIljixZql4JNHKkZ3xufaneZt5eLrUPzJPMshdyT3fsfoC0TZku0jjE/OI0a2DmWhMUYX0SQK4NBwhybQgw5uLItd0EINdqnsi1mpFuBHKtS0ovjplrPU46Ucxc61DSj0Gu9Vn1N3LhHzPyzB/Vcj1urCcnHJftbzPKcrl7ryNaBl7cGeRamR4CNAgg1xqQ+gpJq1xnVr4mTvMnSjruBiPE23CkMi6pAci13cwg12qeyLWakW4Ecq1LSi8OudbjpBOFXOtQ0o9BrvVZ9Tfyo9WOrF69rvR/3nXkiacyMmKEyCEHrpPp+npPRpXxax9y3d8MUi4pBJBrw0ykVa7rrj9Hql7NL83p69F+yLek/bDjVGGJfR65Vqfmv+9n5LeP9jh8smTBN9/Kx40do7ek9PBDXNlo49KxwQest8HG6k7qRDStFaelWdqnzJD2SUfplChLDHJtDytybY+lXxNybY8ncm2PpV8Tcm2Xp05tb6xw5O6fVkm5Z6qL+4Jc62SHmCQTQK4Ns5NWua65f674s9fBw1m5XDLNTeJuurl4jYO7/p7d88DcfTGV+kCu1Zl759+O3H5nlTqwHxEnHZ+V0aNLyLWblcZTDupHjeoibZNnSMe+yHUpUtV/WyS1d82Sjl2+LG0nzlTDjDkCubabAOTaHk/k2h5L5NouS93l3/1p9fJLOvpTrFsZ5NoYIRXETAC5NkxAWuW6GEswk9161rWSnbCTIbXkFEeu1bkI5LqhwZOtxuvNSKtqXbbckaYmR3qVaxEJPmCzu+2nqk7reefNf0nm3beZue6DFnItwoZmjuy2qysN9eavdTY0Y0MzrTdnjSBmrjUgaYYg172D4p5rzUFEWJ8EkGvDAYJcGwKMuThyrU7AynccuePHVTJkiMjndrazick/Fmdk7VpHph6flTGKmWv/1gMbj6qX/i6ZFa8IM9e900Su1XKd+fA9qb/omzmI1m5ZWLtGnPZWaZ32A8lO3MvGcO9XHcxc9wtbyULMXNtj6deEXNvjGci1v9x7s3HmP6L5PVvUuREaM9f28kRNlUsAuTbMHXJtCDDm4si1OgHItZpRmAjuuQ5Dq+/YOJaFF8q1vSvJ14Rc9060ZsH9UvPQfGnfd7K0T55mG731+pBru0iRa3s8keveWTJzbW+cDeSakGvD7CPXhgBjLo5cqxOAXKsZhYlArsPQSp5c+z2qWrZU6yJq77hMnE/XStt3LxVvkPqsVneTceINHqpVdzmCmLm2RxW5tsfSrwm5tscTuUau7Y0maipFALk2HBfItSHAmIsj1+oEINdqRmEikOswtJIp17pX0HD+MeKs+VCaZ98n3rDhusVii0Ou7aFHru2xRK7tskSukWu7I4raigkg14ZjArk2BBhzceRanQDkWs0oTARyHYYWcm2Plrom5FrNSDcCudYlpRfHzLUeJ50o5Bq51hknxPSfAHLdf3a5kpUu11Wv6i1vzB/N9bq0Hz1D3M9soaTmbjBCvA1HKuPiDrAp184H70rmw1XKS/KPOKu5f564n9lc2o8+WRnvB2THx7dDO3KtlSLtIORaG5UyMI57rpWdKghg5tqR5a9nZI/dXDn4QDcMuh6xlXbPtb/r/ONPZqSu1pP6eqNL7yq85mMn9/9tbBplp0fR1RLI9bChdjbgam4VaW1xZO8vZWXS3nbqjI6GWUvINXJtNoIorSKAXKsIKZ6vdLkOjjsyxNCjuL/Dc/thx9mu1np9NuW65nf3SM3v77XeR7/CpnkLylKvTqXItQ4l/RjkWp+VKhK5VhEK9zwz1+F49RUdyLW9GtfVNJDl2jZP5NrODwvsFm57ZFJfJRNArg2zlxa5tnakTNMn4rQ0yUCWa6++UaRxsOHIyhd3Pnwv97/ItTlOjuJSM+QoLvVRXGqK6yKYuR64M9cff+zIhx/mZ5r7evz3A5HfPZaR4Ru6cvhXVNH558eNM1sFoNdKsqJWrMhodeixJxxZ9Z6TWykxaoS6yND1PVnf0my4urVkRDBz3Xse2C08GWO00nuBXBtmMC1ybess4cyypVK1/MUBLdfZLXcQd4KdZdzBTDhybfhC9Xd45pxrJUTkGrn2pdD2YyAuC9dlGKwM2nQTT6ZNzeoWI64XAj/+SZW8+ZYjJ3zbHZA/QugMjECuR47wZORIOzPXS5bmf/ywsaoiWFEZx/ce5FpnBBGjIoBcqwgpnkeuuwNCru8V5Fr9ovrH4oysXevI1OOzMmZ0iQ93NyuNpxyUq8jWDz/ItTovyDVyjVyrXyc2I5BrmzRFkGs1z0Cu1ZHhI5Dr8MwokT4CyLVhTpFr5DogENxzjVyrX1TItSM7T3Rl6HrmswbvvSfy0itVst02rhwzxWy5KHKNXPtyvduurjTUm4/NlSsH7rJw9btgPgK51iWlF4dcqzkFcl1fJ9Y221u9Jt8ucq3mT0T6CQwouZ57zyPy5tvvyg9nTuuW2f+s+kBOOPtH8tY7+Z2er7v0ZDlon127Yvxyt979cO7fu+68tcy54nQZMrgx92/kGrlGrsO/USLXyHX4UdOzBBua2aC4rg42NLPLU6c25FqHkn4Mcq1mxT3XvTNiWbh6/BChJjAg5PqJRc/JOZfNzdE4dL89usn12k+a5PSL58jnJ24jJx93hDz/4jK5cPadMuuCqfLZHSaIX/amOx+Uu67/vowasaGcd+XtuXoCQUeukWvkWv1GUxyhlGsRCe67srfZ3lpxWpqlfcoMaZ90VPhOWyrBbuGWQIoIcm2PpV8Tcm2Xp05tyLUOJf0Y5FrNCrlGrtWjhAgTAgNCrgNApWaufZmeffMvZM4Vp+XkuVi2fZkeO3pkTrz9R7FsI9fINXId/i0ojFyHr73vEnHL9fy7quTtlY6M39KTQY3mS29Xf+zIihWObLetJ8dMNtsQiWXhLAtnWbjtd5y+60Ou7fJGrtU8kWvkWj1KiDAhMODluliWfZjB7PTMM4/tNqvtP1c8s41cI9fIdfi3IB25rlq2VKviml/cKJlVK6X9G2eIO2K0soy30Sbirr+RMq5cAYFc264fuTa73zzIh38+cWurI2efkZVhhkf0cBQX91yrXufItYpQuOeRazWvOOQ6s/I1qbl/nrpz/sker+Y/+7Pj9U5daT37Wq16dYJYFq5DiRgVAeR60XPyq98u7HYfdbFcH3P4pK57sIvlurXdbKYoSJC/GcRFV7hSVycy6UuqtOk9v/gFkXdXiZzwLUc+N7H08SrN3/xyrrLqI4/Tq1QR5b60WNx/vZCrr2byCVbqLGcljz7pyuMLRA7eX+TQA/XO0eytP+0P3CUdD98jma12lMy2O1vptl+f/2j4+R+t1NefSla85ck1czwZup7Inrv1p4aeZf76nMiaNSJnn+rIFuPMjv5pnTlN3DdekbrLb5PMFtvY6WAZa/nVQ678+111A++/L7L6Y5HhG3gybJia0VbjM3LI/up6+4rIPvu0tN1yuVTtvo/UnvYDs8oiKL3kBZH5P3VlxMYin9X7Hqbs1aI/ibS0ilx+UUY2XD8f3pH1pLpKnYPiyltOOVK81R9K/S0PirP+cGXbcQfMvNKVj1aLfPmLIo315r1ZsULk5VdF9vmiI5OPCM+vsAcdj94n7ffdJtWHHCM13zzZvHMJqSF4fx072pHvn2HGKCGXFGs3bpjryvLXRc6ckZHxW8TalcQ2/thTnvz+KS/HZ8IWdsacX6f/uPXa0t+j3JcXS+uVZ5aFic3vR3U1VWXpI5UOLALIddE91X76w8xcv7+m1cqI+fhjkVnXZqS2VuSLe9qZgXnxpYz4Owl/Y4orO+5QupvVJ+2be8I99Fgr1+H8a4k4r76Yq8894jtW6ixnJQsWijz9TEb23duV/SeZtZR55CeSefRn4o3fQbytJppV1lnary/35X7+01bq608lb68UufWOjKw3ROTzn7MzNv/2fEb8MT99qivjxvSnV+vKVF15sjhv/kuyF94q3mZbm1WWoNKPPuHIn//qyCEHevKlvcyXj+tcWua5hZKZf5W4n99b3O9erFMk1pj/95Ij9/7SkY2Ge7Lj9nYY/flZf+Za5LyzXVl/WP7y/Jr78xW06twp4qz5ULLX/Eq8YcmX69nXZXI/eu25u79buHlq33rbkVdfc2Sv3T057BCz/GSe/JVkHrhD3P2niHv0dPPOJaSG4P31M5uKnDrNzvtrQi4tlm7c/mNH3njTke8e78nmm5mNuVguIIJGFyxy5OlFjmw2zpMtNrPT4B8W5d8hr7689Bj2vxtWXXuOyHrri7fdLlYadZ5dYP370fChdVb6RiUDm8CAl2vuuc5Pddk6S5hzrjnnWuctVWdZuE49fkz97FMk89YyaTnvFnHHbaVbLPFxjy/IyLPPZuTA/VzZy9IPbqqL5p5r7rnmnmvVq8Tu8ywLt8uTZeFqnnEsC/dv86q74VzxNyjt2P0AdSc1Imp+f28uqmleXrJtPFgWboMidQx4uU7abuHlGJJHH5WV7XuZ1Ql2ZEauszJpb7NfuYNzrsuRQ5sfHmH7F3z5GzJE5HM727kNArlWZwG5VjN6+eWM3PfrjDQ0eLLxRmav36C1lSszknWFe64551o9AC1EINcWIBZUgVyreSLXvTNCrtXjhwg1gQEh14VHcQVICs+yTtI51+qUhY9ArntntvAZR575U5Xs/SXkujdKyHX415yNEsi1mmJwFJc6MnwEG5qZ/1ixciUbmqlGHnKtIhTueeRazQu5Rq7Vo4QIEwIDQq5NAKnK2totXNVO4fPBWaQ2vvyldeb6P6scaW1RU31+iSNLlmZk4k6ufHai+stkXb3IqBGl44KZ6+yWO4g7wc7uSuVY9qSm0j0CuQ5LzE48cq3myMy1mlGYCM65DkPLTixybYdjUAtyreaJXCPX6lFChAkB5NqEnogg190BJuWe6+AD1jC9PYqPHePJid8pvTQFhEfiAAAgAElEQVQaudanzbJwNaso5Lpmwf1S89B8ZWeym28rrd+7SRkXdUAwcz18uCfbb2tnMyiO4nJkt139Dc3UPzaq8s3MtYqQCHKtZhQmArlW00KukWv1KCHChABybUIPue5BL2lyPWiQf4SOYZJzR/GIfPqpI8g191ybjya9GpBrNSfkWs0oTAQz12Fo2YlFru1wDGpBrtU8kWvkWj1KiDAhgFyb0EOuEy/XE3d0Zdgw8xmY1asdWfJCBrlmQzPDdwz94lHItX5vkhmJXNvNC3Jtl6dObci1DiX9GORazSpOuVb3LnyEzQ1f2dAsPH9K9CSAXBuOCpaFdweYtJlr5NpwgMu6ZYvsFm7OMkwNyLWaFnKtZhQmArkOQ8tOLHJth2NQC3Kt5olc984IuVaPHyLUBJBrNaM+I5Br5DogwD3X+i8m7rlWs0Ku1YyQazWjMBHIdRhadmKRazOOi/7U/b6vxUtE/JVm/ial66/vdFWe+/dQ81VsZr1NRuk45ZpzrpMxBuhFeQkg14Z8kWvkOu1y/c6/Hbn9zqrcWcJbjbfz5WTZckeamhw56fisjB5tVmf97FMk89YyaTnvFnHHbWX4ik5OceRanQvkWs0oTARyHYaWnVjk2ozjJZdXa1VwwrddGTfOzqaHWg0mOCiQ65EjPBk50uzzN7hM/9QV/3H5JR0lr7xq2VKpu+FcQa4TPDDomjUCyLUhSuQauU67XAdf/gxfKiWLTz0+K2OQ65JskGv1iEOu1YzCRCRfru+Q9n2nSPvkaWEuK9GxyLVZehY+s252uq+adt5ZmLnuBBTItRn50qWR63JQpc5KI4BcG2YMuUau0y7Xwcx1pkpkyCA7v3J/8okjWVeYue7j/Qe5Vr85I9dqRmEiArkOU0Yndo/dXDn4wHCzhrW/nivVCx/urN5/3ymQqIJ/duzyZWk7caZONxIZg1wnMi2p7tTiJY4s7pxp7utCm1scWbVKpL5OtGe4Tziu9IkizFynekhxcUUEkGvDIYFcI9fFcm04pEoWt7kbZtj+BV/+2NAsLDmzeORazQ+5VjMKE5FMuS4S664Lyv8duQ6TYWIhoE/gjRWO3P3TKhk31pPepFm3tkCupbpGvPU20C3WZ5zz4arc8za/H7GhmZXUDPhKkGvDIZAWuXbH72hIIl/c+WCV+G947Yd8S9oPO85Knf2pJNgxNI7dwvvTX1UZmx8eqraKn0euwxKzEx+XXGfeXi7u6C3tXESZa0Guywy4l+p/9WCV/POfjhx9VFa2397OapberqThvGPE+fjDnk/XN0rTDY/EA8Biq8xcW4RJVVYJlEWurfYwX5nN70fIdRkSNACrRK4Nk54WuTbE0KP4QJRrXYbBL7jZ8TtK69nX6RaLLQ65jgd91HJd/fRDUvvYz0SaP8ldcHanPaV1+mXxXLxmq8i1JijLYVHKdd3Vp0nVm68g15ZzSHUQUBGwKddO0yeSWfmaqsnc8/7GZ/6j9axrteKzE3bSitMJQq51KBGjIoBcqwgpnk+LXGe33MGQRL545kN/5vq9ATlzrQsQuRbhKC71aIlSrp3335WGi4/t0am2yTOkY9+j1J2NKQK5jgd8lHItLz4rDXMvFqfwnmsRaTviROk46GvxALDYKjPXFmFSlRGBj1Y7snr1uireXeXI409mZORIkYMPWHcvdX29J6NGGjXVZ+HGGfvnnrc5I63bW+RalxRxfRFArg3HR1rk2p9ptvHILFsqVctfRK77gIlcI9c6r7Uo5TqzbInU3/C9Ht3q2P0AaTuu5991+h9FzMuvZOS++zMydD1PNhtnZ3nyP192pL3dkXPOyMpQw3NxG84/Rpw1H0rz7PvEGzY8CiSRtBGlXFct+YvU3X6pSHDrdS7NrrRNOTXRP/zoJgK51iVFXLkJ6O4ibuMe7L6uBbkud6apv9wEkGtDwsh1d4DItXpAIdfItXqUiCRBrtu/cqy0H/ptne7GEhPIdTkaR657pxqlXNc8+lOp8W9XKHokfWzqjknkWpcUceUmoLuL+KiRXujd/8P0HbkOQ4vYJBJArg2zglwj12GHEHKNXOuMmSjl2nn7NWm4apqI0/3M2PYvHS7tXz9Np7uxxKx4y5GnF2aUbfvHvq1cmb+2sWP0ZriPmeLKYMOj55i5VqZGGVBz7/VS85fHe8RlN9tGWr8/R1k+6QHIddIzRP+iJoBcR02c9mwTQK4NiSLXyHXYIYRcI9c6YyZKuc4tC78+v4lM162tnuSW3bZNOVmnu4mO+XitI9feUCVDBnvyvbNLn8NajgtArs2pNpw7WZxP/RtBi865rq2VpjmPmTcQcw3IdcwJoPnEEUCuE5cSOhSSAHIdElhxOHKNXIcdQsg1cq0zZiKX6xL3XKdl6S1yrTPi9GOiXBbecOZh4rS2iHhe3q9z9147Ik5GmuY+qd/phEYi1wlNDN2KjQByHRt6GrZEALk2BIlcI9dhh1ClyfU7/3bk9jurpKHBk63G6y2pVTFZttyRpiZHTjo+K6NHm9VZP/sUyby1TFrOu0XccVupmq6Y56OUa2laKw1XTc/t9F/4aDnrGnEnTKwYZr11FLm2m8Io5br2qhlStfLVHruFu8M2lpbZP7d7YTHUhlzHAJ0mE00AuU50euicBgHkWgNSXyHIdbLlesQITxoaDJMsIs3NIqtWObn7NU/8jtmy0kqVa3OKPWtArnunGqlc+5OB778rtb+eK07Lp7lOte9zlGQn7lWOtEdeJ3JtF3mUcp3bLfy2i/2DHgtuWXClfdJR0n70qXYvLIbakOsYoNNkogkg14lOD53TIIBca0BCrvUhJW23cP2e60UORLn+7/sZ+e2j3Te66o3Wm2+F2zTq8ENc2WhjZq5L8YxarvVeAZUZhVzbzVuUcp1bVTHzWHGa1uYFW1zxGodIy4W3iTe8jIft2kXWa23IdUSgaaZiCCDXFZMqOtoLAeTacGgwc90dYNLk2p+5rq8zkzf/CltanQE7cx3mJXLJ5dW58Msu7ijeeDpMNaFiWRYeClefwZm3l4s052eu3Qk72as45pqQa7sJiFSuO1dV1Cx6SDIrXxN3g5HSMelIcUdvafeiYqoNuY4JPM0mlgByndjU0DFNAsi1JqjewpDrZMv1xB1dGTbMXK5Xr3ZkyQuZAbksPMxLBLkOQ6vv2KhnrmvvuUaq//eprk65o7eQljOvEWkcYu+iYqoJubYLPmq5ttv7ZNWGXCcrH/QmfgLIdfw5oAdmBJBrM36CXCPXYYdQpd1zHeb6kOswtJIj1/6Mdf2sGT061DZ5Ru44rkp/INd2M4hc2+OJXNtjSU3pIIBcpyOPA/kqkGvD7CPXyHXYIYRchyXWdzzLws155s65LnEUl7/8lnOu+8+Xc677z26glESuB0qmuU5dAsi1LinikkoAuTbMDHKNXIcdQsh1WGLI9V57unahFdXWm1xzzrUZduTajN9AKI1cD4Qsc41hCCDXYWgRm0QCyLVhVpBr5DrsEEKuwxJDrsst1z7h+qum5zaMKnw0X/GzVOzIzLJwu685loXb44lc22NJTekggFynI48D+SqQa8PsI9fIddghhFyHJYZcRyHX/pFH1c8ukMyH74rXMFg6dj8gFWLtjx7k2u5rDrm2xxO5tseSmtJBALlORx4H8lUg14bZR66R67BDCLkOSwy5jkSu7aYlUbUh13bTEZtc+2ddp2D3+sJsINd2xya1VT4B5LryczjQrwC5NhwByHWy5do/57qhwTDJItLcLJxzrYGR3cI1IGmGRH0Ul2a3KjIMubabtqjluvrph6T2gXldF9Ex6Shpm9Jzd3u7VxlNbch1NJxpJZkE/FuRau5f99r2e1n16tJcZ7Pjd+rW6dazry37RWyyoYUvjGXvJQ0knQBybZgh5DrZcm2Y3h7Fx47x5MTvZI2qZebaCF+PwuwWbpdnGmtDru1mNUq57u2YuJazrhF3wkS7FxZDbch1DNBpMjEEgu9D6zrkiXiOiHj5/zqZrqea5i0oe7+R67IjHhANINeGaUaukynXi5dm5KOP/Dfnvh9vrMjIm2854kvzZuPUOzKvv74jO++kjuurVeRalZVwzyPX4XgNxGjk2m7Wo5Tr4lnr4ErSspM9cm13bFJbZRFwmj7p2kiz9q7Z4qz5oNsFZLfbVToOODr3t+yE7jPZ5bhS5LocVAdenci1Yc6R62TKtW5aFz7jyDN/qpK9v5SVSXurZVy3XuS6Qxz/x+cIHsh1BJArvAnk2m4CI5XrZ5+U2p/2XA6KXNvNKbVBIG4Cwb3W3frRMEiarv9NZF1DriNDneqGkGvD9CLXyHXYIcTMdVhi3eOrXn9JpKM998eq5/8k1X99UqStRdwttpWOvY8Ub+gGuefcTcaJN3ioWWMxluaea3vwo5Jr/7Vd+Ki94zJxPl0rbd+9VLxBQ7qecsdMEK++cu/ti1KunffflfpZ08Vp/rQb27QcE8fMtb3XOTVVNoGScl1TK01zHovswpDryFCnuiHk2jC9yDVyHXYIIddhiXWPrz//a5LJLR3zVxoUT4+v+1vrtB9IduJeZo3FWBq5tgc/Krku+eWwxGW0nH+ruGMn2LvAiGuKUq79S8ssWyI1Tz8kTktesNu+cmwq7rf2rwW5jnjw0lxiCTTM2L/nJ/qQ9aX5R/dH1mfkOjLUqW4IuTZML3KNXIcdQsh1WGLd43OzgZ98LFUrXxMpms3yI7NjtxKprZP2I44Xd4vtzRqLsTRybQ9+VHJdd/05Wp1u/+ZZ4o74jFZsEoOilmt2C0/iKKBPELBLoOH0r4jT3tZVqSeeuGO2ktYLbrXbUB+1IdeRoU51Q8i1YXqRa+Q67BBCrsMSKx1ff9U0yax8vceTLRfOE3f0lnYaibEW5Noe/Kjk2l6Pk11TlHLNbuHJHgv0DgK2CORW/rjuugVp/kK0QUO459oWYOqJjABybYgauUauww4h5DossdLxDed/rcfOov4v3c3z/mCngZhrQa7tJQC5tsfSrylKuWa3cLu5ozYIJJUAG5olNTP0KywB5DossaJ45Bq5DjuEkOuwxErHN551mEhLc9d9175YO55Iy8mXi7vjnnYaibEW5NoefOTaHsvI5Zrdwu0mj9ogkFAC3HOd0MTQrdAEkOvQyLoXQK6R67BDCLkOS6wXuT79KyLB/VmeJ8HZXywLt8M3TbUg13azGeXMNbuF280dtUEgqQRqf36jVP35UXEKtjVrOfkKcXfYPbIuc891ZKhT3RBybZhe5Bq5DjuEkOuwxErHN5x7lMinH3f7IPZ3EG++4l7xho+000iMtTBzbQ8+cm2PpV9TlHLtt8du4XbzR20QSCKBxjMPE2luWnfPtZMRd/PtpOV7N0bWXeQ6MtSpbgi5Nkwvco1chx1CyHVYYqXj6394qmRef0Ukkz+Vy3Pyn8nItR2+aaoFubabzajl2u+9P4PtfLhKvA1GpOLHsyAjHMVld2xSW+USKHnPdSYjTbc+GdlFIdeRoU51Q8i1YXqRa+Q6zBDyvyDW/eRqySz/f+I1DJaOfY+S9kO/HaaKRMdecnl1rn+XXdwRrNIuW3/rr5wmmXf83cJ9s17XTNNtbGhWNugVWnHkct20Vmofu1cyry7NEXM/s4W0TZ4u0jikQgl273bUcl13x2VStfjPXZ1wx20tLefdnAqWyHUq0shFWCBQUq4dR5rmPmWhdr0qkGs9TkT1TQC5NhwhyDVyrRpCwUx1Lq7g3uB15Xwz9OdcRZrmLVBVl+jno5TrxtMOFuloz4u143SyFWk5+3pxx++YaE46nWNZuA4lvZio5br213OleuHD3Trnjt9JWs6+Vq/DCY+KUq4zL/6f1M+d2YNI21EnScf+RyeclLp7yLWaEREDg0Dj9P269k7puuLqWmm6+bHIACDXkaFOdUPItWF6kWvkWjWE1sn1OonuVqZAuJFrFc11zzfO2K/rR4nCUm0Hf1M6Dv+OfkUJjUSu7SUmarmuv+EcySx7occFVPrrO7igKOW67sezpOrvi3qw9H9Aazn7OnuDJKaakOuYwNNs4gjU3XCuVP1rSYFge9J20Dek44gTIusrch0Z6lQ3hFwbphe5Rq51h1Dm7eVSP2tGz/CaWmmaE90vs7r97U9cpDPXpeTaE2k78kTpOPBr/el+osog1/bSEblcXzVdMitfQ64tpLB23qVS/cJfe8r1pptLy8zbLbQQbxXIdbz8aT05BBou+mZub4Xcw1/M54l07HmQtB33vcg6iVxHhjrVDSHXhulFrpFr3SFU/bt7pOb3Pyva3Tq/VDwt9wlHLteFiwFy91170nKOvyx8J920JDYOubaXmqjluvaea6T6f7vfJ+jfd91y0W32LirGmqKcua755S1S/cffdHvf9M+0z078orRNuzRGCnaaRq7tcKSWyidQ6p5rd8x4ablgbmQXh1xHhjrVDSHXhulFrpFr3SFU8/PrpeZ/ft/5q2z+HuvcPdjiy/XTutUkOi5Suf7uPiJOJr+ErPNXbhFXmq/8RSp2E0au7Q31qOVamtZK/e0/6FoantvQ7Nvnijt6S3sXFWNNkcr1Yz+Tmt/ekz8VIHh4Itmd9pTWGZfHSMFO08i1HY7UUvkESm5oNmg9abr2wcguDrmODHWqG0KuDdOLXCPXukOofto+knGqem7Ywcy1LsJucbl7rnOz1b5cd57F5XnSsf0u0nba1f2qM0mFkGt72Yhcru11PZE1RSnX1Y/8RGqeuLfHip/2fY6U9qNPTiSfMJ1CrsPQIjbNBEruo1JXL003/i6yy0auI0Od6oaQa8P0ItfIte4Qqp46SWr92ZeMP9uaL5Xby8zfJTwlx0dFOnMdyHUny+A4rqapF4rsMkk3LYmNQ67tpSYOua5a8hepevUFkeZPcrcpdOxxgL0LirmmKOXa51h326Wdq1OCH9Ikd4RhGo4xRK5jHsw0nxgCud3Cgy9HuR/M812L8vsRcp2Y4VDRHUGuDdOHXCPXukOo/tJvS+a9f3datf8/wVpmV5puW6hbTaLjopTrhun7lzhL25OWs64Vd8LERHPS6RxyrUNJLyZqua5++iGpfWBet8517H5ApBvz6JHpX1SUci1vL5eGWdN73HPdduJMye6yd/8uIEGlkOsEJYOuxEqgcfr+XW69riOeNM37Q2T9Qq4jQ53qhpBrjfTOvecRufXu/Jmlu+68tcy54nQZMrgx92/kGrnWGEK5kLqpX5YqaRepHpTfBjPn1q4/lR3pL7O6/e1PXJRy3Xiqf851a/6+62B5eEebNF39S5Hho/rT/USVQa7tpSNqueYoLnu5q3n4Tql58pf5Crv2VhBxJ/jnhnMUlz3S1ASBeAnk7rnu3Ji068XuCHIdb1povR8EkGsFtCcWPSc33fmg3HX992XUiA3lvCvzR3/8cOY05LoEu8yypVK1/EVpP+Rb0n7Ycf0YktEWWfiMI8/8qUr2/lJWJu3duQapTF2onzZJMsEGXJ1t+Lve+qufolz2VKbLy1UbqVyfeZh4rc1F92J60nriRZLdZZ9yXmYkdUcu101rpfp/F4h/Lru/AZe/YVRaNuCKWq4bLvyGOB/9t8c44Zzr8C+dutt+IFVL/9KjIOdch2dJCQgkmUBuWbi/QWnhw8tGurKPmeskj5DK6RtyrciVL9NjR4+Uk487IhdZLNvMXHcHiFz3PqBqb71Iql94Nj/TGjw63NwuuE13sCw87Ntmw/R9O8W6czrLyf/o3RzhErKwfQ4TH7Vcl/pi03LhvFQIduRyPX0/cYq+JPo/pKVlbEa5LLzq74uk7sezerx0cuffHntOmJdUImNZFp7ItNCpGAjkNzTLL+zLzVy72dweNVFOPiDXMSQ+hU0i130kde0nTXL6xXPk8xO36ZLr519cJhfOvlNmXTBVPrvDBJaFF/FDrnsfUPWnHCROR5s4udnrzg8Qf0ezrCtNdy5KxdtLpDPX353UuTlcwS/dKdp5PUq5rjlpktRUV/UcgynhGbVc+18S80ew58dm2laoRCnXtTP2k2qv87i9rhHqieu50pKCvSqQ61R89HERFgg0Tt+3896PdRsXRn1UKXJtIZFUIci1hlwfc/gkOWifXXORxXIdxRiaeka7VjPnn1ktW25WtKRGUXL10V/QqjtsUP3k46X+6BPDFos8/pHHs/K7J1w57KCMHHFwCbmw2KM1R+4hXnVGvA5XnOrOip2MOK4nQx/4q8WWoqlq9RqRcy/RG5s//EGNbLi+3X6tOXovf1F9533rnT9WZDLiiCdD7++5jNRu6/Zru+0nWfn7Yv8e/L4f+305I187yu5YXTNlD/H8Y+KKHo7nydBfVx7LN9705KrrO1Qoc8/Pv7GmxMZ4WkV7DVoz5Qs5oe72cBwZdv+fzSqOqfSsGzrk9RXq22amHFElB04qPJDavMM5lrmPNX/3YH+vCv8fjv/lpSLH5vNLPZl7l3psDl1P5LoraswBUgMEKoRA7vtoe1Yk+H7U0SJOTWNFfp5XCHK6WSYCyHUfYHVmrsuUl27VItfloxypXPsy6Lr5ZeG5mevOua1suwx96LnyXWSZak6MXBcLYXtWhj78bJmuunzVItf22MYv13uJ1+PeQU+GVeAPFX5WYpXr4Ee0lPzwg1zbe51TU7oIrD56r3VHcXVeWqX+iJauzHA1YQkg1wpiSbznOmySie+dQJQbmvm9aJy6t0i1Pxuxbrdwr0Ok+c503HMd5VhrmLFf0WZm+R8sorw/K8rrLWtbU/eUxurG7pvJeCKum5WWlOwHUFZ+RZU3TttXJJOfYc09Og+0j/JImSivt5xtVU+dJLU1PVdVtLVnpYP3zXKip24IREogWBaeuwskP/cg4nrSdPvTkfWDZeGRoU51Q8i1Ir1J3C081SOyzBf30RpH1qxe18jzSxxZsjQjE3dy5bMT1y17rKsXGTVCvQwybHdzXxT9QsGypxQdwxWWhY34/CZcwQYoIm0dLl+4+wk2f29rzgTzPug4qdmAq59I+l/stAOksd1fpeJ/OfS/JDrSVOOI3PxU/+scwCXrp3eetND5hdt1PWmJ8Av3AEbPpUMgMgK570fB3h++XfsnqQweLHLtbyLrA3IdGepUN4Rca6Q3aedca3SZkF4IBDPVKkBjx3hy4neyqjCehwAEIAABCEAAAhBIAQHkOgVJTMAlINeGSYjjKC7DLg/o4ouXZuT5xepN30aN9OSQg9SbSw1omFw8BCAAAQhAAAIQSAkB5DoliYz5MpBrwwQg14YAKQ4BCEAAAhCAAAQgAIGYCSDXMScgJc0j14aJRK4NAVIcAhCAAAQgAAEIQAACMRNArmNOQEqaR64NE4lcGwKkOAQgAAEIQAACEIAABGImgFzHnICUNI9cGyYSuTYESHEIQAACEIAABCAAAQjETAC5jjkBKWkeuTZMJHJtCJDiEIAABCAAAQhAAAIQiJkAch1zAlLSPHJtmEjk2hAgxSEAAQhAAAIQgAAEIBAzAeQ65gSkpHnk2jCRyLUhQIpDAAIQgAAEIAABCEAgZgLIdcwJSEnzyLVhIpFrQ4AUhwAEIAABCEAAAhCAQMwEkOuYE5CS5pFrw0Qi14YAKQ4BCEAAAhCAAAQgAIGYCSDXMScgJc0j14aJRK4NAVIcAhCAAAQgAAEIQAACMRNArmNOQEqaR64NE4lcGwKkOAQgAAEIQAACEIAABGImgFzHnICUNI9cGyYSuTYESHEIQAACEIAABCAAAQjETAC5jjkBKWkeuTZMJHJtCJDiEIAABCAAAQhAAAIQiJkAch1zAlLSPHJtmEjk2hAgxSEAAQhAAAIQgAAEIBAzAeQ65gSkpHnk2jCRyLUhQIpDAAIQgAAEIAABCEAgZgLIdcwJSEnzyLVhIpFrQ4AUhwAEIAABCEAAAhCAQMwEkOuYE5CS5pHrlCSSy4AABCAAAQhAAAIQgAAEIACB+Agg1/Gxp2UIQAACEIAABCAAAQhAAAIQSAkB5DolieQyIAABCEAAAhCAAAQgAAEIQCA+Ash1fOxpGQIQgAAEIAABCEAAAhCAAARSQgC5TkkidS7jvCtvl0f/8GxX6K47by1zrjhdhgxu1ClOTAGBtZ80yekXz5F33/tI7rr++zJqxIbwCUkgYPjc4le6lbzu0pPloH12DVkb4QGBufc8Irfe/TBMDYfEf1Z9ICec/SN5651V3WrifbN/YJ9Y9Jycc9ncboWHrjdIbrnqDPnsDhP6V+kALBWMyzOmfrXb+6T/+e4/fjhz2gCkYnbJ/ti86c4H+Sw3w5grXerz55Tjj5STjzvCQu1UAYHKIIBcV0aejHoZSIxfSaFM+2+Cm48Zhcj0g+7zLy6Tm+96SD75tEVO/PohMOwHw2Bcfn7iNl0fvD7XUy+6Sb711QP4MA7JtLfXuf9l/MKr58us80/iR6AQTHuTmBBVEFpAAIGxMxyQazscC2thbNpj6n+v/NuSl7u+a/qf6RfOvlNmXTCVH9HsYaamhBNArhOeIBvd44PDBsXudfgfIMHjzbffZbagH4hLybVfDR/G/YApIrzO+8ett1LItV2ejE87PJFrOxyRa/sc/RqL5Zr30fJwptZkE0Cuk50fK71juZgVjF2V+FJ4waz5csLXD879bfbNv5A5V5zGrGBIzL3JdW9/D1n9gAvndW435XwptMsTubbDE7m2wxG5ts+xlFz7P5bzHak8rKk1uQSQ6+TmxlrP/C/dY0ePZJmtJaL+h8Vd9z0usy88KVejf+914dJmS82kvpq+JJoxGz79xcwK730bs+kI7icMiZR7rkMCU4SXuueaezHDM+5tXPo1HbrfHqyiCo+UVT/9YNZbkVL3XPP5YxEwVVUEAeS6ItJk1klmtMz4FZcuJTGF9xjZbS29tTFzbTe3vb3OmTHsH2dmrvvHrbdSjEM7PJm5tsOxsBbGpj2mxcvC/ZpL/c1ei9QEgeQRQK6Tl4dBayUAAAttSURBVBPrPeKDwx7S3mYN2PU2PGPuuQ7PrK8Svb3Oef33jzNy3T9uyLVdbsW1Idf2+fIeaY9pKZFmabg9vtRUGQSQ68rIk1Ev2S3cCF+3wr19CLOMOTxjdgsPz6yvEr29zvni2D/OyHX/uCHXdrkh1+Xl6dfOe6Q9xsxc22NJTZVLALmu3NyF7jnnXIdG1qNAX0tvf/XbhZwbHgIx51yHgBUitPieN+53CwGvIJR7rvvHDbm2yw25Li/PQK45g90O51L3XO+689Z8N7KDl1oqhAByXSGJopsQgAAEIAABCEAAAhCAAAQgkFwCyHVyc0PPIAABCEAAAhCAAAQgAAEIQKBCCCDXFZIougkBCEAAAhCAAAQgAAEIQAACySWAXCc3N/QMAhCAAAQgAAEIQAACEIAABCqEAHJdIYmimxCAAAQgAAEIQAACEIAABCCQXALIdXJzQ88gAAEIQAACEIAABCAAAQhAoEIIINcVkii6CQEIQAACEIAABCAAAQhAAALJJYBcJzc39AwCEIAABCAAAQhAAAIQgAAEKoQAcl0hiaKbEIAABCAAAQhAAAIQgAAEIJBcAsh1cnNDzyAAAQhAAAIQgAAEIAABCECgQggg1xWSKLoJAQhAAAIQgAAEIAABCEAAAsklgFwnNzf0DAIQgAAEIAABCEAAAhCAAAQqhAByXSGJopsQgAAEIAABCEAAAhCAAAQgkFwCyHVyc0PPIAABCEAAAhCAAAQgAAEIQKBCCCDXFZIougkBCEAAAhCAAAQgAAEIQAACySWAXCc3N/QMAhCAAAQgAAEIQAACEIAABCqEAHJdIYmimxCAAAQg0H8C/1n1gZxw9o/kjKlflYP22bX/FVESAhCAAAQgAAEI9EIAuWZoQAACEIBA6gkMFLkeKNeZ+gHLBUIAAhCAQEUSQK4rMm10GgIQgAAEwhAYKNI5UK4zTO6JhQAEIAABCERFALmOijTtQAACEEgogbn3PCJ/W/KyHLrfnnLJNXflenndpSfnlk8//+IyOfWim2TNx5/m/n7ofnvID2dO67qSJxY9J+dcNrfr32M2HSF3Xf99GTViw9zf/LpvvfvhrueDeoPnitudecax8tMHnuqxfNtv56Y7H+yqO5DIt95Zlat71523ljlXnC5DBjd2tXXelbfLo394thv1wvZV6Qja9JeSX37DPTkGpxx/pJx83BFSfN3B34M6137SJKdfPEeeW/xK7k+luPjXvt1Wm8ndv3y8W8yN8x/o6nep6+qt38VtBu1efcFJcv7s+X0yXfrSazm+hdc6dL1BcstVZ8hnd5jQ1aRqPKiY8jwEIAABCEAgzQSQ6zRnl2uDAAQgoEEgEOBicfZF6sLZd8qsC6bmBCuQt403XD8n2MXPB8K8+ZhROTEPpD2Q3kDMLjnruK7nffEubteXYv9RKPGFfys1O+s//94HH3UJdvG/+zOjGwh0seD6f/dlOxDPoO7DDtgzJ97FnAIuv3vqr10/DgTMAykvFOPiv31+4ja5enUevV1nMY/iPpa6Vr+PhX1WjQed/hEDAQhAAAIQSDMB5DrN2eXaIAABCGgQKJbgoIgvZGNHj+wmdoUzyMFsZ+FMdVDWl7zTL75ZLjjtG91mPgslubd2S8lrYV1+uTfffrebfBeKn9+Hwh8F/H/3V64LZ8sLuRTLf+G1vPrGSmX7pa5d9299pbS36ywW4+J/F68MKMVMNR6C1QoaQ44QCEAAAhCAQCoJINepTCsXBQEIQECfQCmpK7XEOKgxWOLs/9vfgTtYml245Lp4+XBhb4KZ6t7kOmg7mLEtjiu13NuvP1jG/N77q7stIbcp10Hfjjl8Urddx/3rnX3zL2TOFaeJ/6PDr367sOQy9eDHCl2R7o1Rb9ntTa6LZ6qLZ7JLyXVhHo796v7dlrkXtl+85F1/5BEJAQhAAAIQSBcB5Dpd+eRqIAABCIQm0Jdc6yxJLr7/2ZfsjYcP6zF7W9yxvsQxeG7W+SfJhVfPl8J+lFo2Xli3L4rFcmtr5rpS5drnEyzzvur8qXLR1Xd2uwdbV651xkPoAUgBCEAAAhCAQEoIINcpSSSXAQEIQKC/BPpaFu7XWXjvc19tFM50HnnQF5TnSvcl18Gy5W8cua/84uGnu+77DiTR3wyseAOzoG86S5x1WJWqxy9XSu6Tsiy8N/n3+134I0jxbLMOM9WPGjpMiYEABCAAAQikmQBynebscm0QgAAENAj0de+zvxN44U7YvqD5u1nPPPNY+dmDC3K1B5ttFc8O+zL2P8+90G3HaV/iXn/rP7kyqiXPwfLvUhut+TuYf3HXHbvE35fKK2/8mZx50mQZPKght4S5eLbb3zm8P7uFF99TbmtDs+IfCHSXiuv8wBFsOlccGzAt3t28lFyXWjre13go3KldY9gRAgEIQAACEEgdAeQ6dSnlgiAAAQiEI6CaQS48isuvORCzUvdVF0tb8VFchcc7qeQ62MG6lBAXL0X3+1Uo4cXPn3fK1+W+3yzscRxVX6R6m7n2y9g6iqtw9t2GXPt9K8xLqRnqwp3Og+svvh7/76WOAdPJebjRRzQEIAABCEAgPQSQ6/TkkiuBAAQgAAEI9Emgr1UKpXZGBycEIAABCEAAAvoEkGt9VkRCAAIQgEAKCBTPppe6pOIZ+Lgvu9RMfXGfVLt297WpW1+z9HFfO+1DAAIQgAAEKoUAcl0pmaKfEIAABCAAAQMCwW7hpc4lR64NwFIUAhCAAAQg0EkAuWYoQAACEIAABCAAAQhAAAIQgAAEDAkg14YAKQ4BCEAAAhCAAAQgAAEIQAACEECuGQMQgAAEIAABCEAAAhCAAAQgAAFDAsi1IUCKQwACEIAABCAAAQhAAAIQgAAEkGvGAAQgAAEIQAACEIAABCAAAQhAwJAAcm0IkOIQgAAEIAABCEAAAhCAAAQgAAHkmjEAAQhAAAIQgAAEIAABCEAAAhAwJIBcGwKkOAQgAAEIQAACEIAABCAAAQhAALlmDEAAAhCAAAQgAAEIQAACEIAABAwJINeGACkOAQhAAAIQgAAEIAABCEAAAhBArhkDEIAABCAAAQhAAAIQgAAEIAABQwLItSFAikMAAhCAAAQgAAEIQAACEIAABJBrxgAEIAABCEAAAhCAAAQgAAEIQMCQAHJtCJDiEIAABCAAAQhAAAIQgAAEIAAB5JoxAAEIQAACEIAABCAAAQhAAAIQMCSAXBsCpDgEIAABCEAAAhCAAAQgAAEIQAC5ZgxAAAIQgAAEIAABCEAAAhCAAAQMCSDXhgApDgEIQAACEIAABCAAAQhAAAIQQK4ZAxCAAAQgAAEIQAACEIAABCAAAUMCyLUhQIpDAAIQgAAEIAABCEAAAhCAAASQa8YABCAAAQhAAAIQgAAEIAABCEDAkABybQiQ4hCAAAQgAAEIQAACEIAABCAAAeSaMQABCEAAAhCAAAQgAAEIQAACEDAkgFwbAqQ4BCAAAQhAAAIQgAAEIAABCEAAuWYMQAACEIAABCAAAQhAAAIQgAAEDAkg14YAKQ4BCEAAAhCAAAQgAAEIQAACEECuGQMQgAAEIAABCEAAAhCAAAQgAAFDAsi1IUCKQwACEIAABCAAAQhAAAIQgAAEkGvGAAQgAAEIQAACEIAABCAAAQhAwJAAcm0IkOIQgAAEIAABCEAAAhCAAAQgAAHkmjEAAQhAAAIQgAAEIAABCEAAAhAwJIBcGwKkOAQgAAEIQAACEIAABCAAAQhAALlmDEAAAhCAAAQgAAEIQAACEIAABAwJINeGACkOAQhAAAIQgAAEIAABCEAAAhBArhkDEIAABCAAAQhAAAIQgAAEIAABQwLItSFAikMAAhCAAAQgAAEIQAACEIAABJBrxgAEIAABCEAAAhCAAAQgAAEIQMCQwP8HOtrctSfhbosAAAAASUVORK5CYII="
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![newplot%20%284%29.png](attachment:newplot%20%284%29.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3- How does each hotel's yearly average price change?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 316,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['July', 'August', 'September', 'October', 'November', 'December',\n",
       "       'January', 'February', 'March', 'April', 'May', 'June'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 316,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Checking the monthly data\n",
    "hotel_df_active['arrival_date_month'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 317,
   "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_month</th>\n",
       "      <th>Average Price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>April</td>\n",
       "      <td>75.867816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>August</td>\n",
       "      <td>181.205892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>December</td>\n",
       "      <td>68.322236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>February</td>\n",
       "      <td>54.147478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>January</td>\n",
       "      <td>48.708919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>July</td>\n",
       "      <td>150.122528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>June</td>\n",
       "      <td>107.921869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>March</td>\n",
       "      <td>57.012487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>May</td>\n",
       "      <td>76.657558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>November</td>\n",
       "      <td>48.681640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>October</td>\n",
       "      <td>61.727505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>September</td>\n",
       "      <td>96.416860</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   arrival_date_month  Average Price\n",
       "0               April      75.867816\n",
       "1              August     181.205892\n",
       "2            December      68.322236\n",
       "3            February      54.147478\n",
       "4             January      48.708919\n",
       "5                July     150.122528\n",
       "6                June     107.921869\n",
       "7               March      57.012487\n",
       "8                 May      76.657558\n",
       "9            November      48.681640\n",
       "10            October      61.727505\n",
       "11          September      96.416860"
      ]
     },
     "execution_count": 317,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#We can group each month and calcaute the mean price for that month for each hotel\n",
    "rh_df.groupby('arrival_date_month')['price'].mean().reset_index(name='Average Price')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 318,
   "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_month</th>\n",
       "      <th>Average Price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>April</td>\n",
       "      <td>111.856824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>August</td>\n",
       "      <td>118.412083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>December</td>\n",
       "      <td>87.856764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>February</td>\n",
       "      <td>86.183025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>January</td>\n",
       "      <td>82.160634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>July</td>\n",
       "      <td>115.563810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>June</td>\n",
       "      <td>117.702075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>March</td>\n",
       "      <td>90.170722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>May</td>\n",
       "      <td>120.445842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>November</td>\n",
       "      <td>86.500456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>October</td>\n",
       "      <td>101.745956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>September</td>\n",
       "      <td>112.598452</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   arrival_date_month  Average Price\n",
       "0               April     111.856824\n",
       "1              August     118.412083\n",
       "2            December      87.856764\n",
       "3            February      86.183025\n",
       "4             January      82.160634\n",
       "5                July     115.563810\n",
       "6                June     117.702075\n",
       "7               March      90.170722\n",
       "8                 May     120.445842\n",
       "9            November      86.500456\n",
       "10            October     101.745956\n",
       "11          September     112.598452"
      ]
     },
     "execution_count": 318,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ch_df.groupby('arrival_date_month')['price'].mean().reset_index(name='Average Price')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 319,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Month</th>\n",
       "      <th>Average Price City Hotel</th>\n",
       "      <th>Average Price Resort Hotel</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>April</td>\n",
       "      <td>111.856824</td>\n",
       "      <td>75.867816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>August</td>\n",
       "      <td>118.412083</td>\n",
       "      <td>181.205892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>December</td>\n",
       "      <td>87.856764</td>\n",
       "      <td>68.322236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>February</td>\n",
       "      <td>86.183025</td>\n",
       "      <td>54.147478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>January</td>\n",
       "      <td>82.160634</td>\n",
       "      <td>48.708919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>July</td>\n",
       "      <td>115.563810</td>\n",
       "      <td>150.122528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>June</td>\n",
       "      <td>117.702075</td>\n",
       "      <td>107.921869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>March</td>\n",
       "      <td>90.170722</td>\n",
       "      <td>57.012487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>May</td>\n",
       "      <td>120.445842</td>\n",
       "      <td>76.657558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>November</td>\n",
       "      <td>86.500456</td>\n",
       "      <td>48.681640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>October</td>\n",
       "      <td>101.745956</td>\n",
       "      <td>61.727505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>September</td>\n",
       "      <td>112.598452</td>\n",
       "      <td>96.416860</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Month  Average Price City Hotel  Average Price Resort Hotel\n",
       "0       April                111.856824                   75.867816\n",
       "1      August                118.412083                  181.205892\n",
       "2    December                 87.856764                   68.322236\n",
       "3    February                 86.183025                   54.147478\n",
       "4     January                 82.160634                   48.708919\n",
       "5        July                115.563810                  150.122528\n",
       "6        June                117.702075                  107.921869\n",
       "7       March                 90.170722                   57.012487\n",
       "8         May                120.445842                   76.657558\n",
       "9    November                 86.500456                   48.681640\n",
       "10    October                101.745956                   61.727505\n",
       "11  September                112.598452                   96.416860"
      ]
     },
     "execution_count": 319,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Merge the two df\n",
    "ch_df.groupby('arrival_date_month')['price'].mean().reset_index(name='Average Price').merge(rh_df.groupby('arrival_date_month')['price'].mean().reset_index(name='Average Price')\n",
    ", on ='arrival_date_month')\n",
    "monthly_avg_prices = ch_df.groupby('arrival_date_month')['price'].mean().reset_index(name='Average Price').merge(rh_df.groupby('arrival_date_month')['price'].mean().reset_index(name='Average Price')\n",
    ", on ='arrival_date_month')\n",
    "monthly_avg_prices.rename(columns={'arrival_date_month' : 'Month','Average Price_x': 'Average Price City Hotel', 'Average Price_y': 'Average Price Resort Hotel'}, inplace=True)\n",
    "monthly_avg_prices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 320,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>Month</th>\n",
       "      <th>Average Price City Hotel</th>\n",
       "      <th>Average Price Resort Hotel</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>January</td>\n",
       "      <td>82.160634</td>\n",
       "      <td>48.708919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>February</td>\n",
       "      <td>86.183025</td>\n",
       "      <td>54.147478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>March</td>\n",
       "      <td>90.170722</td>\n",
       "      <td>57.012487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>April</td>\n",
       "      <td>111.856824</td>\n",
       "      <td>75.867816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>May</td>\n",
       "      <td>120.445842</td>\n",
       "      <td>76.657558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>June</td>\n",
       "      <td>117.702075</td>\n",
       "      <td>107.921869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>July</td>\n",
       "      <td>115.563810</td>\n",
       "      <td>150.122528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>August</td>\n",
       "      <td>118.412083</td>\n",
       "      <td>181.205892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>September</td>\n",
       "      <td>112.598452</td>\n",
       "      <td>96.416860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>October</td>\n",
       "      <td>101.745956</td>\n",
       "      <td>61.727505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>November</td>\n",
       "      <td>86.500456</td>\n",
       "      <td>48.681640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>December</td>\n",
       "      <td>87.856764</td>\n",
       "      <td>68.322236</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Month  Average Price City Hotel  Average Price Resort Hotel\n",
       "4     January                 82.160634                   48.708919\n",
       "3    February                 86.183025                   54.147478\n",
       "7       March                 90.170722                   57.012487\n",
       "0       April                111.856824                   75.867816\n",
       "8         May                120.445842                   76.657558\n",
       "6        June                117.702075                  107.921869\n",
       "5        July                115.563810                  150.122528\n",
       "1      August                118.412083                  181.205892\n",
       "11  September                112.598452                   96.416860\n",
       "10    October                101.745956                   61.727505\n",
       "9    November                 86.500456                   48.681640\n",
       "2    December                 87.856764                   68.322236"
      ]
     },
     "execution_count": 320,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Everything is ok but the Months are not ordered,we can order it using pd.Categorical for example\n",
    "ordered_months = ['January', 'February', 'March', 'April', 'May', 'June',\n",
    "                  'July', 'August', 'September', 'October', 'November', 'December']\n",
    "cat_type= pd.Categorical(monthly_avg_prices['Month'], categories=ordered_months, ordered=True)\n",
    "monthly_avg_prices['Month'] = monthly_avg_prices['Month'].astype(cat_type)\n",
    "monthly_avg_prices = monthly_avg_prices.sort_values('Month')\n",
    "\n",
    "monthly_avg_prices "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Plotting the Month vs both prices using px or anyother plotting lib\n",
    "plt.figure(figsize=(14,8))\n",
    "fig = px.line(monthly_avg_prices, x='Month', y=['Average Price City Hotel', 'Average Price Resort Hotel'], title='Hotel Prices per Month')\n",
    "fig.update_xaxes(title='Month')\n",
    "fig.update_yaxes(title='Average Price (EUR)')\n",
    "fig.show()"
   ]
  },
  {
   "attachments": {
    "newplot%20%285%29.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![newplot%20%285%29.png](attachment:newplot%20%285%29.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4- Analyse the bookings by market segments "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 322,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Direct', 'Corporate', 'Online TA', 'Offline TA/TO',\n",
       "       'Complementary', 'Groups', 'Aviation'], dtype=object)"
      ]
     },
     "execution_count": 322,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hotel_df_active['market_segment'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "hotel_df_active.groupby('market_segment').size().reset_index(name='count')\n",
    "segments=hotel_df_active.groupby('market_segment').size().reset_index(name='count')\n",
    "plt.figure(figsize=(14,8))\n",
    "px.pie(segments,names='market_segment',values='count' ,title='Booking per market segment')"
   ]
  },
  {
   "attachments": {
    "newplot%20%286%29.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![newplot%20%286%29.png](attachment:newplot%20%286%29.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5 -Distribution of Hotel Nights Spent by Market Segment, for Different Hotels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 324,
   "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",
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       "        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>...</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>price</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</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>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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</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>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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>304.0</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>240.0</td>\n",
       "      <td>0.0</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",
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       "      <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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>394.0</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>89.0</td>\n",
       "      <td>0.0</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>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</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>75166 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  ...  deposit_type  agent company  \\\n",
       "0                          0       2  ...    No Deposit    0.0     0.0   \n",
       "1                          0       2  ...    No Deposit    0.0     0.0   \n",
       "2                          1       1  ...    No Deposit    0.0     0.0   \n",
       "3                          1       1  ...    No Deposit  304.0     0.0   \n",
       "4                          2       2  ...    No Deposit  240.0     0.0   \n",
       "...                      ...     ...  ...           ...    ...     ...   \n",
       "119385                     5       2  ...    No Deposit  394.0     0.0   \n",
       "119386                     5       3  ...    No Deposit    9.0     0.0   \n",
       "119387                     5       2  ...    No Deposit    9.0     0.0   \n",
       "119388                     5       2  ...    No Deposit   89.0     0.0   \n",
       "119389                     7       2  ...    No Deposit    9.0     0.0   \n",
       "\n",
       "       days_in_waiting_list customer_type   price  \\\n",
       "0                         0     Transient    0.00   \n",
       "1                         0     Transient    0.00   \n",
       "2                         0     Transient   75.00   \n",
       "3                         0     Transient   75.00   \n",
       "4                         0     Transient   98.00   \n",
       "...                     ...           ...     ...   \n",
       "119385                    0     Transient   96.14   \n",
       "119386                    0     Transient  225.43   \n",
       "119387                    0     Transient  157.71   \n",
       "119388                    0     Transient  104.40   \n",
       "119389                    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",
       "[75166 rows x 32 columns]"
      ]
     },
     "execution_count": 324,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hotel_df_active"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 325,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Creat new col fo the nights spent in both week and weekends\n",
    "hotel_df_active['nights_spent'] = hotel_df_active['stays_in_weekend_nights'] + hotel_df_active['stays_in_week_nights']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "px.box(data_frame=hotel_df_active , x='market_segment' , y='nights_spent', color= 'hotel')"
   ]
  },
  {
   "attachments": {
    "newplot%20%287%29.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![newplot%20%287%29.png](attachment:newplot%20%287%29.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6-What meal do the guests prefer?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 327,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['BB', 'FB', 'HB', 'SC', 'Undefined'], dtype=object)"
      ]
     },
     "execution_count": 327,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Explore the meal column\n",
    "hotel_df_active['meal'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 328,
   "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>meal</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BB</td>\n",
       "      <td>57800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>FB</td>\n",
       "      <td>320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>HB</td>\n",
       "      <td>9479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SC</td>\n",
       "      <td>6684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Undefined</td>\n",
       "      <td>883</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        meal  count\n",
       "0         BB  57800\n",
       "1         FB    320\n",
       "2         HB   9479\n",
       "3         SC   6684\n",
       "4  Undefined    883"
      ]
     },
     "execution_count": 328,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Group by the meal and fine the count\n",
    "hotel_df_active.groupby('meal').size().reset_index(name='count')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Represnt the data as pie chart\n",
    "px.pie(data_frame=hotel_df_active.groupby('meal').size().reset_index(name='count'), names='meal' , values ='count' ,\n",
    "       hole = 0.5 , title='Prefered Meals for the guests for all hotels')"
   ]
  },
  {
   "attachments": {
    "newplot%20%288%29.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![newplot%20%288%29.png](attachment:newplot%20%288%29.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7- Analyze the relation between thte special requests and cancellation of booking"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 330,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1, 3, 2, 4, 5], dtype=int64)"
      ]
     },
     "execution_count": 330,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hotel_df_active['total_of_special_requests'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 331,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1], dtype=int64)"
      ]
     },
     "execution_count": 331,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#To examine the cancellation we need to get to the first df we create hotel_df\n",
    "hotel_df['is_canceled'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 332,
   "metadata": {},
   "outputs": [],
   "source": [
    "hotel_df_cancelled=hotel_df[(hotel_df['is_canceled']==1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 333,
   "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>...</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>8</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>240.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>82.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Canceled</td>\n",
       "      <td>5/6/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>1</td>\n",
       "      <td>75</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>105.5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Canceled</td>\n",
       "      <td>4/22/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>1</td>\n",
       "      <td>23</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>240.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>123.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Canceled</td>\n",
       "      <td>6/23/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>1</td>\n",
       "      <td>60</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>240.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>107.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Canceled</td>\n",
       "      <td>5/11/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>1</td>\n",
       "      <td>96</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>108.3</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Canceled</td>\n",
       "      <td>5/29/2015</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110280</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>1</td>\n",
       "      <td>132</td>\n",
       "      <td>2017</td>\n",
       "      <td>April</td>\n",
       "      <td>17</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Canceled</td>\n",
       "      <td>4/25/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111355</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2017</td>\n",
       "      <td>June</td>\n",
       "      <td>23</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0.0</td>\n",
       "      <td>238.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>65.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Canceled</td>\n",
       "      <td>6/5/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111924</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>2017</td>\n",
       "      <td>May</td>\n",
       "      <td>22</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0.0</td>\n",
       "      <td>238.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>65.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Canceled</td>\n",
       "      <td>5/31/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111925</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>2017</td>\n",
       "      <td>July</td>\n",
       "      <td>29</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0.0</td>\n",
       "      <td>238.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>65.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>No-Show</td>\n",
       "      <td>7/17/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117295</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>65.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>No-Show</td>\n",
       "      <td>8/2/2017</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>44224 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               hotel  is_canceled  lead_time  arrival_date_year  \\\n",
       "8       Resort Hotel            1         85               2015   \n",
       "9       Resort Hotel            1         75               2015   \n",
       "10      Resort Hotel            1         23               2015   \n",
       "27      Resort Hotel            1         60               2015   \n",
       "32      Resort Hotel            1         96               2015   \n",
       "...              ...          ...        ...                ...   \n",
       "110280    City Hotel            1        132               2017   \n",
       "111355    City Hotel            1          4               2017   \n",
       "111924    City Hotel            1          7               2017   \n",
       "111925    City Hotel            1          6               2017   \n",
       "117295    City Hotel            1          0               2017   \n",
       "\n",
       "       arrival_date_month  arrival_date_week_number  \\\n",
       "8                    July                        27   \n",
       "9                    July                        27   \n",
       "10                   July                        27   \n",
       "27                   July                        27   \n",
       "32                   July                        27   \n",
       "...                   ...                       ...   \n",
       "110280              April                        17   \n",
       "111355               June                        23   \n",
       "111924                May                        22   \n",
       "111925               July                        29   \n",
       "117295             August                        31   \n",
       "\n",
       "        arrival_date_day_of_month  stays_in_weekend_nights  \\\n",
       "8                               1                        0   \n",
       "9                               1                        0   \n",
       "10                              1                        0   \n",
       "27                              1                        2   \n",
       "32                              1                        2   \n",
       "...                           ...                      ...   \n",
       "110280                         25                        0   \n",
       "111355                          5                        1   \n",
       "111924                         31                        0   \n",
       "111925                         17                        1   \n",
       "117295                          2                        0   \n",
       "\n",
       "        stays_in_week_nights  adults  ...  deposit_type  agent company  \\\n",
       "8                          3       2  ...    No Deposit  240.0     0.0   \n",
       "9                          3       2  ...    No Deposit   15.0     0.0   \n",
       "10                         4       2  ...    No Deposit  240.0     0.0   \n",
       "27                         5       2  ...    No Deposit  240.0     0.0   \n",
       "32                         8       2  ...    No Deposit    0.0     0.0   \n",
       "...                      ...     ...  ...           ...    ...     ...   \n",
       "110280                     0       0  ...    No Deposit    9.0     0.0   \n",
       "111355                     0       1  ...    No Deposit    0.0   238.0   \n",
       "111924                     1       1  ...    No Deposit    0.0   238.0   \n",
       "111925                     0       1  ...    No Deposit    0.0   238.0   \n",
       "117295                     2       1  ...    No Deposit    0.0    40.0   \n",
       "\n",
       "       days_in_waiting_list customer_type    adr  required_car_parking_spaces  \\\n",
       "8                         0     Transient   82.0                            0   \n",
       "9                         0     Transient  105.5                            0   \n",
       "10                        0     Transient  123.0                            0   \n",
       "27                        0     Transient  107.0                            0   \n",
       "32                        0     Transient  108.3                            0   \n",
       "...                     ...           ...    ...                          ...   \n",
       "110280                    0     Transient    0.0                            0   \n",
       "111355                    0     Transient   65.0                            0   \n",
       "111924                    0     Transient   65.0                            0   \n",
       "111925                    0     Transient   65.0                            0   \n",
       "117295                    0     Transient   65.0                            0   \n",
       "\n",
       "        total_of_special_requests  reservation_status reservation_status_date  \n",
       "8                               1            Canceled                5/6/2015  \n",
       "9                               0            Canceled               4/22/2015  \n",
       "10                              0            Canceled               6/23/2015  \n",
       "27                              2            Canceled               5/11/2015  \n",
       "32                              2            Canceled               5/29/2015  \n",
       "...                           ...                 ...                     ...  \n",
       "110280                          3            Canceled               4/25/2017  \n",
       "111355                          0            Canceled                6/5/2017  \n",
       "111924                          0            Canceled               5/31/2017  \n",
       "111925                          0             No-Show               7/17/2017  \n",
       "117295                          1             No-Show                8/2/2017  \n",
       "\n",
       "[44224 rows x 32 columns]"
      ]
     },
     "execution_count": 333,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hotel_df_cancelled"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 334,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 0, 2, 3, 4, 5], dtype=int64)"
      ]
     },
     "execution_count": 334,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hotel_df_cancelled['total_of_special_requests'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 335,
   "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>total_of_special_requests</th>\n",
       "      <th>Number of cancellation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>33556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>7318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   total_of_special_requests  Number of cancellation\n",
       "0                          0                   33556\n",
       "1                          1                    7318\n",
       "2                          2                    2866\n",
       "3                          3                     446\n",
       "4                          4                      36\n",
       "5                          5                       2"
      ]
     },
     "execution_count": 335,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Group by the total_of_special_requests and the count of the cancellations\n",
    "hotel_df_cancelled.groupby(['total_of_special_requests'])['is_canceled'].size().reset_index(name= 'Number of cancellation')\n",
    "requests_and_cancellations=hotel_df_cancelled.groupby(['total_of_special_requests'])['is_canceled'].size().reset_index(name= 'Number of cancellation')\n",
    "requests_and_cancellations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 336,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2276704bca0>"
      ]
     },
     "execution_count": 336,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,7))\n",
    "sns.barplot(x='total_of_special_requests',y='Number of cancellation', data=hotel_df_cancelled.groupby(['total_of_special_requests'])['is_canceled'].size().reset_index(name= 'Number of cancellation'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 8 - Which months have the highest number of visitors? (for each hotel)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 337,
   "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>Month</th>\n",
       "      <th>Number of guest for City Hotel</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>April</td>\n",
       "      <td>4015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>August</td>\n",
       "      <td>5381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>December</td>\n",
       "      <td>2392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>February</td>\n",
       "      <td>3064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>January</td>\n",
       "      <td>2254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>July</td>\n",
       "      <td>4782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>June</td>\n",
       "      <td>4366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>March</td>\n",
       "      <td>4072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>May</td>\n",
       "      <td>4579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>November</td>\n",
       "      <td>2696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>October</td>\n",
       "      <td>4337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>September</td>\n",
       "      <td>4290</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Month  Number of guest for City Hotel\n",
       "0       April                            4015\n",
       "1      August                            5381\n",
       "2    December                            2392\n",
       "3    February                            3064\n",
       "4     January                            2254\n",
       "5        July                            4782\n",
       "6        June                            4366\n",
       "7       March                            4072\n",
       "8         May                            4579\n",
       "9    November                            2696\n",
       "10    October                            4337\n",
       "11  September                            4290"
      ]
     },
     "execution_count": 337,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Group by the months count\n",
    "monthly_visit_ch=ch_df.groupby('arrival_date_month').size().reset_index(name='Number of guest for City Hotel')\n",
    "monthly_visit_ch =monthly_visit_ch.rename(columns={'arrival_date_month': 'Month'})\n",
    "monthly_visit_ch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 338,
   "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>Month</th>\n",
       "      <th>Number of guest for Resort Hotel</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>April</td>\n",
       "      <td>2550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>August</td>\n",
       "      <td>3257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>December</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>February</td>\n",
       "      <td>2308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>January</td>\n",
       "      <td>1868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>July</td>\n",
       "      <td>3137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>June</td>\n",
       "      <td>2038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>March</td>\n",
       "      <td>2573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>May</td>\n",
       "      <td>2535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>November</td>\n",
       "      <td>1976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>October</td>\n",
       "      <td>2577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>September</td>\n",
       "      <td>2102</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Month  Number of guest for Resort Hotel\n",
       "0       April                              2550\n",
       "1      August                              3257\n",
       "2    December                              2017\n",
       "3    February                              2308\n",
       "4     January                              1868\n",
       "5        July                              3137\n",
       "6        June                              2038\n",
       "7       March                              2573\n",
       "8         May                              2535\n",
       "9    November                              1976\n",
       "10    October                              2577\n",
       "11  September                              2102"
      ]
     },
     "execution_count": 338,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "monthly_visit_rh=rh_df.groupby('arrival_date_month').size().reset_index(name='Number of guest for Resort Hotel')\n",
    "monthly_visit_rh =monthly_visit_rh.rename(columns={'arrival_date_month': 'Month'})\n",
    "monthly_visit_rh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 339,
   "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>Month</th>\n",
       "      <th>Number of guest for City Hotel</th>\n",
       "      <th>Number of guest for Resort Hotel</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>January</td>\n",
       "      <td>2254</td>\n",
       "      <td>1868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>February</td>\n",
       "      <td>3064</td>\n",
       "      <td>2308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>March</td>\n",
       "      <td>4072</td>\n",
       "      <td>2573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>April</td>\n",
       "      <td>4015</td>\n",
       "      <td>2550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>May</td>\n",
       "      <td>4579</td>\n",
       "      <td>2535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>June</td>\n",
       "      <td>4366</td>\n",
       "      <td>2038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>July</td>\n",
       "      <td>4782</td>\n",
       "      <td>3137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>August</td>\n",
       "      <td>5381</td>\n",
       "      <td>3257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>September</td>\n",
       "      <td>4290</td>\n",
       "      <td>2102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>October</td>\n",
       "      <td>4337</td>\n",
       "      <td>2577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>November</td>\n",
       "      <td>2696</td>\n",
       "      <td>1976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>December</td>\n",
       "      <td>2392</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Month  Number of guest for City Hotel  \\\n",
       "0     January                            2254   \n",
       "1    February                            3064   \n",
       "2       March                            4072   \n",
       "3       April                            4015   \n",
       "4         May                            4579   \n",
       "5        June                            4366   \n",
       "6        July                            4782   \n",
       "7      August                            5381   \n",
       "8   September                            4290   \n",
       "9     October                            4337   \n",
       "10   November                            2696   \n",
       "11   December                            2392   \n",
       "\n",
       "    Number of guest for Resort Hotel  \n",
       "0                               1868  \n",
       "1                               2308  \n",
       "2                               2573  \n",
       "3                               2550  \n",
       "4                               2535  \n",
       "5                               2038  \n",
       "6                               3137  \n",
       "7                               3257  \n",
       "8                               2102  \n",
       "9                               2577  \n",
       "10                              1976  \n",
       "11                              2017  "
      ]
     },
     "execution_count": 339,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Merging the two dfs and order the months\n",
    "ordered_months = ['January', 'February', 'March', 'April', 'May', 'June',\n",
    "                  'July', 'August', 'September', 'October', 'November', 'December']\n",
    "cat_type= pd.Categorical(monthly_visit_ch['Month'], categories=ordered_months, ordered=True)\n",
    "monthly_visit_ch['Month'] = monthly_visit_ch['Month'].astype(cat_type)\n",
    "monthly_visit_rh['Month'] = monthly_visit_rh['Month'].astype(cat_type)\n",
    "monthly_visit_ch = monthly_visit_ch.sort_values('Month')\n",
    "monthly_visit_rh = monthly_visit_rh.sort_values('Month')\n",
    "monthly_visit= monthly_visit_ch.merge(monthly_visit_rh , on='Month')\n",
    "monthly_visit.rename(columns ={'Number of guest for City Hotel_x':' Number of guest for City Hotel' ,'Number of guest for City Hotel_y' : 'Number of guest for City Hotel'} ,inplace=True)\n",
    "monthly_visit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "px.line(data_frame=monthly_visit, x='Month',\n",
    "        y=['Number of guest for City Hotel', 'Number of guest for Resort Hotel'], title='Monthly Visitors')"
   ]
  },
  {
   "attachments": {
    "newplot%20%289%29.png": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![newplot%20%289%29.png](attachment:newplot%20%289%29.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 9- Which hotel has more cancellations?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 341,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>...</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>8</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>240.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>82.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Canceled</td>\n",
       "      <td>5/6/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>1</td>\n",
       "      <td>75</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>105.5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Canceled</td>\n",
       "      <td>4/22/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>1</td>\n",
       "      <td>23</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>240.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>123.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Canceled</td>\n",
       "      <td>6/23/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>1</td>\n",
       "      <td>60</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>240.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>107.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Canceled</td>\n",
       "      <td>5/11/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>1</td>\n",
       "      <td>96</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>108.3</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Canceled</td>\n",
       "      <td>5/29/2015</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110280</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>1</td>\n",
       "      <td>132</td>\n",
       "      <td>2017</td>\n",
       "      <td>April</td>\n",
       "      <td>17</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Canceled</td>\n",
       "      <td>4/25/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111355</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2017</td>\n",
       "      <td>June</td>\n",
       "      <td>23</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0.0</td>\n",
       "      <td>238.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>65.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Canceled</td>\n",
       "      <td>6/5/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111924</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>2017</td>\n",
       "      <td>May</td>\n",
       "      <td>22</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0.0</td>\n",
       "      <td>238.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>65.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Canceled</td>\n",
       "      <td>5/31/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111925</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>2017</td>\n",
       "      <td>July</td>\n",
       "      <td>29</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0.0</td>\n",
       "      <td>238.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>65.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>No-Show</td>\n",
       "      <td>7/17/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117295</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>65.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>No-Show</td>\n",
       "      <td>8/2/2017</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>44224 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               hotel  is_canceled  lead_time  arrival_date_year  \\\n",
       "8       Resort Hotel            1         85               2015   \n",
       "9       Resort Hotel            1         75               2015   \n",
       "10      Resort Hotel            1         23               2015   \n",
       "27      Resort Hotel            1         60               2015   \n",
       "32      Resort Hotel            1         96               2015   \n",
       "...              ...          ...        ...                ...   \n",
       "110280    City Hotel            1        132               2017   \n",
       "111355    City Hotel            1          4               2017   \n",
       "111924    City Hotel            1          7               2017   \n",
       "111925    City Hotel            1          6               2017   \n",
       "117295    City Hotel            1          0               2017   \n",
       "\n",
       "       arrival_date_month  arrival_date_week_number  \\\n",
       "8                    July                        27   \n",
       "9                    July                        27   \n",
       "10                   July                        27   \n",
       "27                   July                        27   \n",
       "32                   July                        27   \n",
       "...                   ...                       ...   \n",
       "110280              April                        17   \n",
       "111355               June                        23   \n",
       "111924                May                        22   \n",
       "111925               July                        29   \n",
       "117295             August                        31   \n",
       "\n",
       "        arrival_date_day_of_month  stays_in_weekend_nights  \\\n",
       "8                               1                        0   \n",
       "9                               1                        0   \n",
       "10                              1                        0   \n",
       "27                              1                        2   \n",
       "32                              1                        2   \n",
       "...                           ...                      ...   \n",
       "110280                         25                        0   \n",
       "111355                          5                        1   \n",
       "111924                         31                        0   \n",
       "111925                         17                        1   \n",
       "117295                          2                        0   \n",
       "\n",
       "        stays_in_week_nights  adults  ...  deposit_type  agent company  \\\n",
       "8                          3       2  ...    No Deposit  240.0     0.0   \n",
       "9                          3       2  ...    No Deposit   15.0     0.0   \n",
       "10                         4       2  ...    No Deposit  240.0     0.0   \n",
       "27                         5       2  ...    No Deposit  240.0     0.0   \n",
       "32                         8       2  ...    No Deposit    0.0     0.0   \n",
       "...                      ...     ...  ...           ...    ...     ...   \n",
       "110280                     0       0  ...    No Deposit    9.0     0.0   \n",
       "111355                     0       1  ...    No Deposit    0.0   238.0   \n",
       "111924                     1       1  ...    No Deposit    0.0   238.0   \n",
       "111925                     0       1  ...    No Deposit    0.0   238.0   \n",
       "117295                     2       1  ...    No Deposit    0.0    40.0   \n",
       "\n",
       "       days_in_waiting_list customer_type    adr  required_car_parking_spaces  \\\n",
       "8                         0     Transient   82.0                            0   \n",
       "9                         0     Transient  105.5                            0   \n",
       "10                        0     Transient  123.0                            0   \n",
       "27                        0     Transient  107.0                            0   \n",
       "32                        0     Transient  108.3                            0   \n",
       "...                     ...           ...    ...                          ...   \n",
       "110280                    0     Transient    0.0                            0   \n",
       "111355                    0     Transient   65.0                            0   \n",
       "111924                    0     Transient   65.0                            0   \n",
       "111925                    0     Transient   65.0                            0   \n",
       "117295                    0     Transient   65.0                            0   \n",
       "\n",
       "        total_of_special_requests  reservation_status reservation_status_date  \n",
       "8                               1            Canceled                5/6/2015  \n",
       "9                               0            Canceled               4/22/2015  \n",
       "10                              0            Canceled               6/23/2015  \n",
       "27                              2            Canceled               5/11/2015  \n",
       "32                              2            Canceled               5/29/2015  \n",
       "...                           ...                 ...                     ...  \n",
       "110280                          3            Canceled               4/25/2017  \n",
       "111355                          0            Canceled                6/5/2017  \n",
       "111924                          0            Canceled               5/31/2017  \n",
       "111925                          0             No-Show               7/17/2017  \n",
       "117295                          1             No-Show                8/2/2017  \n",
       "\n",
       "[44224 rows x 32 columns]"
      ]
     },
     "execution_count": 341,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hotel_df_cancelled"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 342,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hotel</th>\n",
       "      <th>Number of Cancellations</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>33102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>11122</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          hotel  Number of Cancellations\n",
       "0    City Hotel                    33102\n",
       "1  Resort Hotel                    11122"
      ]
     },
     "execution_count": 342,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hotel_df_cancelled.groupby('hotel')['is_canceled'].size().reset_index(name='Number of Cancellations')\n",
    "hotel_cancel=hotel_df_cancelled.groupby('hotel')['is_canceled'].size().reset_index(name='Number of Cancellations')\n",
    "hotel_cancel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "px.pie(data_frame=hotel_cancel , names='hotel',values='Number of Cancellations' , title ='Cancellations per hotel')"
   ]
  },
  {
   "attachments": {
    "newplot%20%2810%29.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![newplot%20%2810%29.png](attachment:newplot%20%2810%29.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 9- Which month has the higest cancellations?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "hotel_df_cancelled.groupby('arrival_date_month').size().reset_index(name='Number of Cancellations')\n",
    "month_cancel=month_cancel.rename(columns={'arrival_date_month': 'Month', 'count': 'Cancellations'})\n",
    "px.pie(data_frame=month_cancel , names='Month',values='Number of Cancellations' , title ='Cancellations per month')"
   ]
  },
  {
   "attachments": {
    "newplot%20%2811%29.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![newplot%20%2811%29.png](attachment:newplot%20%2811%29.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}