Analysis of Flight Prices.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4f48c73b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0f2f1252",
   "metadata": {},
   "outputs": [
    {
     "data": {
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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>Airline</th>\n",
       "      <th>Date_of_Journey</th>\n",
       "      <th>Source</th>\n",
       "      <th>Destination</th>\n",
       "      <th>Route</th>\n",
       "      <th>Dep_Time</th>\n",
       "      <th>Arrival_Time</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Total_Stops</th>\n",
       "      <th>Additional_Info</th>\n",
       "      <th>Price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>24/03/2019</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>22:20</td>\n",
       "      <td>01:10 22 Mar</td>\n",
       "      <td>2h 50m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>3897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Air India</td>\n",
       "      <td>1/05/2019</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → IXR → BBI → BLR</td>\n",
       "      <td>05:50</td>\n",
       "      <td>13:15</td>\n",
       "      <td>7h 25m</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>7662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>9/06/2019</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → LKO → BOM → COK</td>\n",
       "      <td>09:25</td>\n",
       "      <td>04:25 10 Jun</td>\n",
       "      <td>19h</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>13882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>12/05/2019</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → NAG → BLR</td>\n",
       "      <td>18:05</td>\n",
       "      <td>23:30</td>\n",
       "      <td>5h 25m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>6218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>01/03/2019</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → NAG → DEL</td>\n",
       "      <td>16:50</td>\n",
       "      <td>21:35</td>\n",
       "      <td>4h 45m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>13302</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10678</th>\n",
       "      <td>Air Asia</td>\n",
       "      <td>9/04/2019</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → BLR</td>\n",
       "      <td>19:55</td>\n",
       "      <td>22:25</td>\n",
       "      <td>2h 30m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>4107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10679</th>\n",
       "      <td>Air India</td>\n",
       "      <td>27/04/2019</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → BLR</td>\n",
       "      <td>20:45</td>\n",
       "      <td>23:20</td>\n",
       "      <td>2h 35m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>4145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10680</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>27/04/2019</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>08:20</td>\n",
       "      <td>11:20</td>\n",
       "      <td>3h</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>7229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10681</th>\n",
       "      <td>Vistara</td>\n",
       "      <td>01/03/2019</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>11:30</td>\n",
       "      <td>14:10</td>\n",
       "      <td>2h 40m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>12648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10682</th>\n",
       "      <td>Air India</td>\n",
       "      <td>9/05/2019</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → GOI → BOM → COK</td>\n",
       "      <td>10:55</td>\n",
       "      <td>19:15</td>\n",
       "      <td>8h 20m</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>11753</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10683 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Airline Date_of_Journey    Source Destination  \\\n",
       "0           IndiGo      24/03/2019  Banglore   New Delhi   \n",
       "1        Air India       1/05/2019   Kolkata    Banglore   \n",
       "2      Jet Airways       9/06/2019     Delhi      Cochin   \n",
       "3           IndiGo      12/05/2019   Kolkata    Banglore   \n",
       "4           IndiGo      01/03/2019  Banglore   New Delhi   \n",
       "...            ...             ...       ...         ...   \n",
       "10678     Air Asia       9/04/2019   Kolkata    Banglore   \n",
       "10679    Air India      27/04/2019   Kolkata    Banglore   \n",
       "10680  Jet Airways      27/04/2019  Banglore       Delhi   \n",
       "10681      Vistara      01/03/2019  Banglore   New Delhi   \n",
       "10682    Air India       9/05/2019     Delhi      Cochin   \n",
       "\n",
       "                       Route Dep_Time  Arrival_Time Duration Total_Stops  \\\n",
       "0                  BLR → DEL    22:20  01:10 22 Mar   2h 50m    non-stop   \n",
       "1      CCU → IXR → BBI → BLR    05:50         13:15   7h 25m     2 stops   \n",
       "2      DEL → LKO → BOM → COK    09:25  04:25 10 Jun      19h     2 stops   \n",
       "3            CCU → NAG → BLR    18:05         23:30   5h 25m      1 stop   \n",
       "4            BLR → NAG → DEL    16:50         21:35   4h 45m      1 stop   \n",
       "...                      ...      ...           ...      ...         ...   \n",
       "10678              CCU → BLR    19:55         22:25   2h 30m    non-stop   \n",
       "10679              CCU → BLR    20:45         23:20   2h 35m    non-stop   \n",
       "10680              BLR → DEL    08:20         11:20       3h    non-stop   \n",
       "10681              BLR → DEL    11:30         14:10   2h 40m    non-stop   \n",
       "10682  DEL → GOI → BOM → COK    10:55         19:15   8h 20m     2 stops   \n",
       "\n",
       "      Additional_Info  Price  \n",
       "0             No info   3897  \n",
       "1             No info   7662  \n",
       "2             No info  13882  \n",
       "3             No info   6218  \n",
       "4             No info  13302  \n",
       "...               ...    ...  \n",
       "10678         No info   4107  \n",
       "10679         No info   4145  \n",
       "10680         No info   7229  \n",
       "10681         No info  12648  \n",
       "10682         No info  11753  \n",
       "\n",
       "[10683 rows x 11 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# load the dataset\n",
    "df=pd.read_excel(\"Data_Train.xlsx\")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6c227e4b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Airline</th>\n",
       "      <th>Date_of_Journey</th>\n",
       "      <th>Source</th>\n",
       "      <th>Destination</th>\n",
       "      <th>Route</th>\n",
       "      <th>Dep_Time</th>\n",
       "      <th>Arrival_Time</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Total_Stops</th>\n",
       "      <th>Additional_Info</th>\n",
       "      <th>Price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>24/03/2019</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>22:20</td>\n",
       "      <td>01:10 22 Mar</td>\n",
       "      <td>2h 50m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>3897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Air India</td>\n",
       "      <td>1/05/2019</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → IXR → BBI → BLR</td>\n",
       "      <td>05:50</td>\n",
       "      <td>13:15</td>\n",
       "      <td>7h 25m</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>7662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>9/06/2019</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → LKO → BOM → COK</td>\n",
       "      <td>09:25</td>\n",
       "      <td>04:25 10 Jun</td>\n",
       "      <td>19h</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>13882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>12/05/2019</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → NAG → BLR</td>\n",
       "      <td>18:05</td>\n",
       "      <td>23:30</td>\n",
       "      <td>5h 25m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>6218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>01/03/2019</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → NAG → DEL</td>\n",
       "      <td>16:50</td>\n",
       "      <td>21:35</td>\n",
       "      <td>4h 45m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>13302</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Airline Date_of_Journey    Source Destination                  Route  \\\n",
       "0       IndiGo      24/03/2019  Banglore   New Delhi              BLR → DEL   \n",
       "1    Air India       1/05/2019   Kolkata    Banglore  CCU → IXR → BBI → BLR   \n",
       "2  Jet Airways       9/06/2019     Delhi      Cochin  DEL → LKO → BOM → COK   \n",
       "3       IndiGo      12/05/2019   Kolkata    Banglore        CCU → NAG → BLR   \n",
       "4       IndiGo      01/03/2019  Banglore   New Delhi        BLR → NAG → DEL   \n",
       "\n",
       "  Dep_Time  Arrival_Time Duration Total_Stops Additional_Info  Price  \n",
       "0    22:20  01:10 22 Mar   2h 50m    non-stop         No info   3897  \n",
       "1    05:50         13:15   7h 25m     2 stops         No info   7662  \n",
       "2    09:25  04:25 10 Jun      19h     2 stops         No info  13882  \n",
       "3    18:05         23:30   5h 25m      1 stop         No info   6218  \n",
       "4    16:50         21:35   4h 45m      1 stop         No info  13302  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "76dd0028",
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   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Airline</th>\n",
       "      <th>Date_of_Journey</th>\n",
       "      <th>Source</th>\n",
       "      <th>Destination</th>\n",
       "      <th>Route</th>\n",
       "      <th>Dep_Time</th>\n",
       "      <th>Arrival_Time</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Total_Stops</th>\n",
       "      <th>Additional_Info</th>\n",
       "      <th>Price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10678</th>\n",
       "      <td>Air Asia</td>\n",
       "      <td>9/04/2019</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → BLR</td>\n",
       "      <td>19:55</td>\n",
       "      <td>22:25</td>\n",
       "      <td>2h 30m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>4107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10679</th>\n",
       "      <td>Air India</td>\n",
       "      <td>27/04/2019</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → BLR</td>\n",
       "      <td>20:45</td>\n",
       "      <td>23:20</td>\n",
       "      <td>2h 35m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>4145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10680</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>27/04/2019</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>08:20</td>\n",
       "      <td>11:20</td>\n",
       "      <td>3h</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>7229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10681</th>\n",
       "      <td>Vistara</td>\n",
       "      <td>01/03/2019</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>11:30</td>\n",
       "      <td>14:10</td>\n",
       "      <td>2h 40m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>12648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10682</th>\n",
       "      <td>Air India</td>\n",
       "      <td>9/05/2019</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → GOI → BOM → COK</td>\n",
       "      <td>10:55</td>\n",
       "      <td>19:15</td>\n",
       "      <td>8h 20m</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>11753</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Airline Date_of_Journey    Source Destination  \\\n",
       "10678     Air Asia       9/04/2019   Kolkata    Banglore   \n",
       "10679    Air India      27/04/2019   Kolkata    Banglore   \n",
       "10680  Jet Airways      27/04/2019  Banglore       Delhi   \n",
       "10681      Vistara      01/03/2019  Banglore   New Delhi   \n",
       "10682    Air India       9/05/2019     Delhi      Cochin   \n",
       "\n",
       "                       Route Dep_Time Arrival_Time Duration Total_Stops  \\\n",
       "10678              CCU → BLR    19:55        22:25   2h 30m    non-stop   \n",
       "10679              CCU → BLR    20:45        23:20   2h 35m    non-stop   \n",
       "10680              BLR → DEL    08:20        11:20       3h    non-stop   \n",
       "10681              BLR → DEL    11:30        14:10   2h 40m    non-stop   \n",
       "10682  DEL → GOI → BOM → COK    10:55        19:15   8h 20m     2 stops   \n",
       "\n",
       "      Additional_Info  Price  \n",
       "10678         No info   4107  \n",
       "10679         No info   4145  \n",
       "10680         No info   7229  \n",
       "10681         No info  12648  \n",
       "10682         No info  11753  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "acce6559",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\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>Airline</th>\n",
       "      <th>Date_of_Journey</th>\n",
       "      <th>Source</th>\n",
       "      <th>Destination</th>\n",
       "      <th>Route</th>\n",
       "      <th>Dep_Time</th>\n",
       "      <th>Arrival_Time</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Total_Stops</th>\n",
       "      <th>Additional_Info</th>\n",
       "      <th>Price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3523</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>27/03/2019</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → MAA → BOM → COK</td>\n",
       "      <td>05:10</td>\n",
       "      <td>04:25 28 Mar</td>\n",
       "      <td>23h 15m</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>In-flight meal not included</td>\n",
       "      <td>9412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2726</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>21/05/2019</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → BOM → COK</td>\n",
       "      <td>20:25</td>\n",
       "      <td>01:30 22 May</td>\n",
       "      <td>5h 5m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>5054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2906</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>21/05/2019</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → BOM → COK</td>\n",
       "      <td>16:00</td>\n",
       "      <td>19:00 22 May</td>\n",
       "      <td>27h</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>16079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5673</th>\n",
       "      <td>Multiple carriers Premium economy</td>\n",
       "      <td>21/03/2019</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → BOM → COK</td>\n",
       "      <td>06:00</td>\n",
       "      <td>18:50</td>\n",
       "      <td>12h 50m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>14629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7947</th>\n",
       "      <td>Air India</td>\n",
       "      <td>9/03/2019</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → LKO → BOM → COK</td>\n",
       "      <td>18:30</td>\n",
       "      <td>19:15 10 Mar</td>\n",
       "      <td>24h 45m</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>18211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9046</th>\n",
       "      <td>Air Asia</td>\n",
       "      <td>24/05/2019</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → IXR → DEL → BLR</td>\n",
       "      <td>15:10</td>\n",
       "      <td>23:30</td>\n",
       "      <td>8h 20m</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>5192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7648</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>18/05/2019</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → BOM → BLR</td>\n",
       "      <td>14:05</td>\n",
       "      <td>10:05 19 May</td>\n",
       "      <td>20h</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>14388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1823</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>9/05/2019</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → BOM → BLR</td>\n",
       "      <td>08:25</td>\n",
       "      <td>20:45</td>\n",
       "      <td>12h 20m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>In-flight meal not included</td>\n",
       "      <td>10844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>583</th>\n",
       "      <td>Multiple carriers</td>\n",
       "      <td>18/05/2019</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → BOM → COK</td>\n",
       "      <td>06:00</td>\n",
       "      <td>19:00</td>\n",
       "      <td>13h</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>9794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2377</th>\n",
       "      <td>Vistara</td>\n",
       "      <td>6/03/2019</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>BOM → DEL → HYD</td>\n",
       "      <td>08:45</td>\n",
       "      <td>09:25 07 Mar</td>\n",
       "      <td>24h 40m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>12395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4886</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>24/03/2019</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → BOM → BLR</td>\n",
       "      <td>13:55</td>\n",
       "      <td>10:05 25 Mar</td>\n",
       "      <td>20h 10m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>14231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7182</th>\n",
       "      <td>GoAir</td>\n",
       "      <td>15/06/2019</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → BOM → COK</td>\n",
       "      <td>07:00</td>\n",
       "      <td>12:55</td>\n",
       "      <td>5h 55m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>5281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2034</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>27/06/2019</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → ATQ → BOM → COK</td>\n",
       "      <td>18:20</td>\n",
       "      <td>19:00 28 Jun</td>\n",
       "      <td>24h 40m</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>14300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6295</th>\n",
       "      <td>Air Asia</td>\n",
       "      <td>3/03/2019</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → BLR → COK</td>\n",
       "      <td>16:45</td>\n",
       "      <td>07:10 04 Mar</td>\n",
       "      <td>14h 25m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>13474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3347</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>3/05/2019</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>18:25</td>\n",
       "      <td>21:20</td>\n",
       "      <td>2h 55m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>4823</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                Airline Date_of_Journey    Source Destination  \\\n",
       "3523                        Jet Airways      27/03/2019     Delhi      Cochin   \n",
       "2726                             IndiGo      21/05/2019     Delhi      Cochin   \n",
       "2906                        Jet Airways      21/05/2019     Delhi      Cochin   \n",
       "5673  Multiple carriers Premium economy      21/03/2019     Delhi      Cochin   \n",
       "7947                          Air India       9/03/2019     Delhi      Cochin   \n",
       "9046                           Air Asia      24/05/2019   Kolkata    Banglore   \n",
       "7648                        Jet Airways      18/05/2019   Kolkata    Banglore   \n",
       "1823                        Jet Airways       9/05/2019   Kolkata    Banglore   \n",
       "583                   Multiple carriers      18/05/2019     Delhi      Cochin   \n",
       "2377                            Vistara       6/03/2019    Mumbai   Hyderabad   \n",
       "4886                        Jet Airways      24/03/2019   Kolkata    Banglore   \n",
       "7182                              GoAir      15/06/2019     Delhi      Cochin   \n",
       "2034                        Jet Airways      27/06/2019     Delhi      Cochin   \n",
       "6295                           Air Asia       3/03/2019     Delhi      Cochin   \n",
       "3347                             IndiGo       3/05/2019  Banglore       Delhi   \n",
       "\n",
       "                      Route Dep_Time  Arrival_Time Duration Total_Stops  \\\n",
       "3523  DEL → MAA → BOM → COK    05:10  04:25 28 Mar  23h 15m     2 stops   \n",
       "2726        DEL → BOM → COK    20:25  01:30 22 May    5h 5m      1 stop   \n",
       "2906        DEL → BOM → COK    16:00  19:00 22 May      27h      1 stop   \n",
       "5673        DEL → BOM → COK    06:00         18:50  12h 50m      1 stop   \n",
       "7947  DEL → LKO → BOM → COK    18:30  19:15 10 Mar  24h 45m     2 stops   \n",
       "9046  CCU → IXR → DEL → BLR    15:10         23:30   8h 20m     2 stops   \n",
       "7648        CCU → BOM → BLR    14:05  10:05 19 May      20h      1 stop   \n",
       "1823        CCU → BOM → BLR    08:25         20:45  12h 20m      1 stop   \n",
       "583         DEL → BOM → COK    06:00         19:00      13h      1 stop   \n",
       "2377        BOM → DEL → HYD    08:45  09:25 07 Mar  24h 40m      1 stop   \n",
       "4886        CCU → BOM → BLR    13:55  10:05 25 Mar  20h 10m      1 stop   \n",
       "7182        DEL → BOM → COK    07:00         12:55   5h 55m      1 stop   \n",
       "2034  DEL → ATQ → BOM → COK    18:20  19:00 28 Jun  24h 40m     2 stops   \n",
       "6295        DEL → BLR → COK    16:45  07:10 04 Mar  14h 25m      1 stop   \n",
       "3347              BLR → DEL    18:25         21:20   2h 55m    non-stop   \n",
       "\n",
       "                  Additional_Info  Price  \n",
       "3523  In-flight meal not included   9412  \n",
       "2726                      No info   5054  \n",
       "2906                      No info  16079  \n",
       "5673                      No info  14629  \n",
       "7947                      No info  18211  \n",
       "9046                      No info   5192  \n",
       "7648                      No info  14388  \n",
       "1823  In-flight meal not included  10844  \n",
       "583                       No info   9794  \n",
       "2377                      No info  12395  \n",
       "4886                      No info  14231  \n",
       "7182                      No info   5281  \n",
       "2034                      No info  14300  \n",
       "6295                      No info  13474  \n",
       "3347                      No info   4823  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sample(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7b213daa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EDA ON DATASET\n",
      "##############################\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10683 entries, 0 to 10682\n",
      "Data columns (total 11 columns):\n",
      " #   Column           Non-Null Count  Dtype \n",
      "---  ------           --------------  ----- \n",
      " 0   Airline          10683 non-null  object\n",
      " 1   Date_of_Journey  10683 non-null  object\n",
      " 2   Source           10683 non-null  object\n",
      " 3   Destination      10683 non-null  object\n",
      " 4   Route            10682 non-null  object\n",
      " 5   Dep_Time         10683 non-null  object\n",
      " 6   Arrival_Time     10683 non-null  object\n",
      " 7   Duration         10683 non-null  object\n",
      " 8   Total_Stops      10682 non-null  object\n",
      " 9   Additional_Info  10683 non-null  object\n",
      " 10  Price            10683 non-null  int64 \n",
      "dtypes: int64(1), object(10)\n",
      "memory usage: 918.2+ KB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "# ANALYSIS ON TRAIN DATASET\n",
    "print(\"EDA ON DATASET\")\n",
    "print(\"#\"*30)\n",
    "print(df.info())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "787addf3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EDA ON DATASET\n",
      "##############################\n",
      "              Price\n",
      "count  10683.000000\n",
      "mean    9087.064121\n",
      "std     4611.359167\n",
      "min     1759.000000\n",
      "25%     5277.000000\n",
      "50%     8372.000000\n",
      "75%    12373.000000\n",
      "max    79512.000000\n"
     ]
    }
   ],
   "source": [
    "# Statistical view\n",
    "print(\"EDA ON DATASET\")\n",
    "print(\"#\"*30)\n",
    "print(df.describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "6dc6c95b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Airline</th>\n",
       "      <th>Date_of_Journey</th>\n",
       "      <th>Source</th>\n",
       "      <th>Destination</th>\n",
       "      <th>Route</th>\n",
       "      <th>Dep_Time</th>\n",
       "      <th>Arrival_Time</th>\n",
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       "      <th>Price</th>\n",
       "      <th>Journey_Month</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>24/03/2019</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>22:20</td>\n",
       "      <td>01:10 22 Mar</td>\n",
       "      <td>2h 50m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>3897</td>\n",
       "      <td>2019-03-24</td>\n",
       "      <td>2019-03-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Air India</td>\n",
       "      <td>1/05/2019</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → IXR → BBI → BLR</td>\n",
       "      <td>05:50</td>\n",
       "      <td>13:15</td>\n",
       "      <td>7h 25m</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>7662</td>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>2019-05-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>9/06/2019</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → LKO → BOM → COK</td>\n",
       "      <td>09:25</td>\n",
       "      <td>04:25 10 Jun</td>\n",
       "      <td>19h</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>13882</td>\n",
       "      <td>2019-06-09</td>\n",
       "      <td>2019-06-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>12/05/2019</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → NAG → BLR</td>\n",
       "      <td>18:05</td>\n",
       "      <td>23:30</td>\n",
       "      <td>5h 25m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>6218</td>\n",
       "      <td>2019-05-12</td>\n",
       "      <td>2019-05-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>01/03/2019</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → NAG → DEL</td>\n",
       "      <td>16:50</td>\n",
       "      <td>21:35</td>\n",
       "      <td>4h 45m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>13302</td>\n",
       "      <td>2019-03-01</td>\n",
       "      <td>2019-03-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Airline Date_of_Journey    Source Destination                  Route  \\\n",
       "0       IndiGo      24/03/2019  Banglore   New Delhi              BLR → DEL   \n",
       "1    Air India       1/05/2019   Kolkata    Banglore  CCU → IXR → BBI → BLR   \n",
       "2  Jet Airways       9/06/2019     Delhi      Cochin  DEL → LKO → BOM → COK   \n",
       "3       IndiGo      12/05/2019   Kolkata    Banglore        CCU → NAG → BLR   \n",
       "4       IndiGo      01/03/2019  Banglore   New Delhi        BLR → NAG → DEL   \n",
       "\n",
       "  Dep_Time  Arrival_Time Duration Total_Stops Additional_Info  Price  \\\n",
       "0    22:20  01:10 22 Mar   2h 50m    non-stop         No info   3897   \n",
       "1    05:50         13:15   7h 25m     2 stops         No info   7662   \n",
       "2    09:25  04:25 10 Jun      19h     2 stops         No info  13882   \n",
       "3    18:05         23:30   5h 25m      1 stop         No info   6218   \n",
       "4    16:50         21:35   4h 45m      1 stop         No info  13302   \n",
       "\n",
       "  Journey_Month       Date  \n",
       "0    2019-03-24 2019-03-24  \n",
       "1    2019-05-01 2019-05-01  \n",
       "2    2019-06-09 2019-06-09  \n",
       "3    2019-05-12 2019-05-12  \n",
       "4    2019-03-01 2019-03-01  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# convert Date_of_journey to date\n",
    "df['Date'] = pd.to_datetime(df.Date_of_Journey, format='%d/%m/%Y')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "4559d9c9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Airline</th>\n",
       "      <th>Date_of_Journey</th>\n",
       "      <th>Source</th>\n",
       "      <th>Destination</th>\n",
       "      <th>Route</th>\n",
       "      <th>Dep_Time</th>\n",
       "      <th>Arrival_Time</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Total_Stops</th>\n",
       "      <th>Additional_Info</th>\n",
       "      <th>Price</th>\n",
       "      <th>Journey_Month</th>\n",
       "      <th>Date</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>24/03/2019</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>22:20</td>\n",
       "      <td>01:10 22 Mar</td>\n",
       "      <td>2h 50m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>3897</td>\n",
       "      <td>2019-03-24</td>\n",
       "      <td>2019-03-24</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Air India</td>\n",
       "      <td>1/05/2019</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → IXR → BBI → BLR</td>\n",
       "      <td>05:50</td>\n",
       "      <td>13:15</td>\n",
       "      <td>7h 25m</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>7662</td>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>9/06/2019</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → LKO → BOM → COK</td>\n",
       "      <td>09:25</td>\n",
       "      <td>04:25 10 Jun</td>\n",
       "      <td>19h</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>13882</td>\n",
       "      <td>2019-06-09</td>\n",
       "      <td>2019-06-09</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>12/05/2019</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → NAG → BLR</td>\n",
       "      <td>18:05</td>\n",
       "      <td>23:30</td>\n",
       "      <td>5h 25m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>6218</td>\n",
       "      <td>2019-05-12</td>\n",
       "      <td>2019-05-12</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>01/03/2019</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → NAG → DEL</td>\n",
       "      <td>16:50</td>\n",
       "      <td>21:35</td>\n",
       "      <td>4h 45m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>13302</td>\n",
       "      <td>2019-03-01</td>\n",
       "      <td>2019-03-01</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Airline Date_of_Journey    Source Destination                  Route  \\\n",
       "0       IndiGo      24/03/2019  Banglore   New Delhi              BLR → DEL   \n",
       "1    Air India       1/05/2019   Kolkata    Banglore  CCU → IXR → BBI → BLR   \n",
       "2  Jet Airways       9/06/2019     Delhi      Cochin  DEL → LKO → BOM → COK   \n",
       "3       IndiGo      12/05/2019   Kolkata    Banglore        CCU → NAG → BLR   \n",
       "4       IndiGo      01/03/2019  Banglore   New Delhi        BLR → NAG → DEL   \n",
       "\n",
       "  Dep_Time  Arrival_Time Duration Total_Stops Additional_Info  Price  \\\n",
       "0    22:20  01:10 22 Mar   2h 50m    non-stop         No info   3897   \n",
       "1    05:50         13:15   7h 25m     2 stops         No info   7662   \n",
       "2    09:25  04:25 10 Jun      19h     2 stops         No info  13882   \n",
       "3    18:05         23:30   5h 25m      1 stop         No info   6218   \n",
       "4    16:50         21:35   4h 45m      1 stop         No info  13302   \n",
       "\n",
       "  Journey_Month       Date  month  \n",
       "0    2019-03-24 2019-03-24      3  \n",
       "1    2019-05-01 2019-05-01      5  \n",
       "2    2019-06-09 2019-06-09      6  \n",
       "3    2019-05-12 2019-05-12      5  \n",
       "4    2019-03-01 2019-03-01      3  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['month'] = pd.to_datetime(df.Date_of_Journey, format='%d/%m/%Y').dt.month\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "b0bf483e",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Airline</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>22:20</td>\n",
       "      <td>01:10 22 Mar</td>\n",
       "      <td>2h 50m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>3897</td>\n",
       "      <td>2019-03-24</td>\n",
       "      <td>3</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Air India</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → IXR → BBI → BLR</td>\n",
       "      <td>05:50</td>\n",
       "      <td>13:15</td>\n",
       "      <td>7h 25m</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>7662</td>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → LKO → BOM → COK</td>\n",
       "      <td>09:25</td>\n",
       "      <td>04:25 10 Jun</td>\n",
       "      <td>19h</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>13882</td>\n",
       "      <td>2019-06-09</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → NAG → BLR</td>\n",
       "      <td>18:05</td>\n",
       "      <td>23:30</td>\n",
       "      <td>5h 25m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>6218</td>\n",
       "      <td>2019-05-12</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → NAG → DEL</td>\n",
       "      <td>16:50</td>\n",
       "      <td>21:35</td>\n",
       "      <td>4h 45m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>13302</td>\n",
       "      <td>2019-03-01</td>\n",
       "      <td>3</td>\n",
       "      <td>1</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10678</th>\n",
       "      <td>Air Asia</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → BLR</td>\n",
       "      <td>19:55</td>\n",
       "      <td>22:25</td>\n",
       "      <td>2h 30m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>4107</td>\n",
       "      <td>2019-04-09</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10679</th>\n",
       "      <td>Air India</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → BLR</td>\n",
       "      <td>20:45</td>\n",
       "      <td>23:20</td>\n",
       "      <td>2h 35m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>4145</td>\n",
       "      <td>2019-04-27</td>\n",
       "      <td>4</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10680</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>08:20</td>\n",
       "      <td>11:20</td>\n",
       "      <td>3h</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>7229</td>\n",
       "      <td>2019-04-27</td>\n",
       "      <td>4</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10681</th>\n",
       "      <td>Vistara</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>11:30</td>\n",
       "      <td>14:10</td>\n",
       "      <td>2h 40m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>12648</td>\n",
       "      <td>2019-03-01</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10682</th>\n",
       "      <td>Air India</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → GOI → BOM → COK</td>\n",
       "      <td>10:55</td>\n",
       "      <td>19:15</td>\n",
       "      <td>8h 20m</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>11753</td>\n",
       "      <td>2019-05-09</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10683 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Airline    Source Destination                  Route Dep_Time  \\\n",
       "0           IndiGo  Banglore   New Delhi              BLR → DEL    22:20   \n",
       "1        Air India   Kolkata    Banglore  CCU → IXR → BBI → BLR    05:50   \n",
       "2      Jet Airways     Delhi      Cochin  DEL → LKO → BOM → COK    09:25   \n",
       "3           IndiGo   Kolkata    Banglore        CCU → NAG → BLR    18:05   \n",
       "4           IndiGo  Banglore   New Delhi        BLR → NAG → DEL    16:50   \n",
       "...            ...       ...         ...                    ...      ...   \n",
       "10678     Air Asia   Kolkata    Banglore              CCU → BLR    19:55   \n",
       "10679    Air India   Kolkata    Banglore              CCU → BLR    20:45   \n",
       "10680  Jet Airways  Banglore       Delhi              BLR → DEL    08:20   \n",
       "10681      Vistara  Banglore   New Delhi              BLR → DEL    11:30   \n",
       "10682    Air India     Delhi      Cochin  DEL → GOI → BOM → COK    10:55   \n",
       "\n",
       "       Arrival_Time Duration Total_Stops Additional_Info  Price       Date  \\\n",
       "0      01:10 22 Mar   2h 50m    non-stop         No info   3897 2019-03-24   \n",
       "1             13:15   7h 25m     2 stops         No info   7662 2019-05-01   \n",
       "2      04:25 10 Jun      19h     2 stops         No info  13882 2019-06-09   \n",
       "3             23:30   5h 25m      1 stop         No info   6218 2019-05-12   \n",
       "4             21:35   4h 45m      1 stop         No info  13302 2019-03-01   \n",
       "...             ...      ...         ...             ...    ...        ...   \n",
       "10678         22:25   2h 30m    non-stop         No info   4107 2019-04-09   \n",
       "10679         23:20   2h 35m    non-stop         No info   4145 2019-04-27   \n",
       "10680         11:20       3h    non-stop         No info   7229 2019-04-27   \n",
       "10681         14:10   2h 40m    non-stop         No info  12648 2019-03-01   \n",
       "10682         19:15   8h 20m     2 stops         No info  11753 2019-05-09   \n",
       "\n",
       "       month  day  \n",
       "0          3   24  \n",
       "1          5    1  \n",
       "2          6    9  \n",
       "3          5   12  \n",
       "4          3    1  \n",
       "...      ...  ...  \n",
       "10678      4    9  \n",
       "10679      4   27  \n",
       "10680      4   27  \n",
       "10681      3    1  \n",
       "10682      5    9  \n",
       "\n",
       "[10683 rows x 13 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "bf9b79f1",
   "metadata": {},
   "outputs": [
    {
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       "      <td>IndiGo</td>\n",
       "      <td>24/03/2019</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>22:20</td>\n",
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       "      <td>non-stop</td>\n",
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       "      <td>3897</td>\n",
       "      <td>2019-03-24</td>\n",
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       "      <td>3</td>\n",
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       "      <td>Banglore</td>\n",
       "      <td>CCU → IXR → BBI → BLR</td>\n",
       "      <td>05:50</td>\n",
       "      <td>13:15</td>\n",
       "      <td>7h 25m</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>7662</td>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>9/06/2019</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → LKO → BOM → COK</td>\n",
       "      <td>09:25</td>\n",
       "      <td>04:25 10 Jun</td>\n",
       "      <td>19h</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>13882</td>\n",
       "      <td>2019-06-09</td>\n",
       "      <td>2019-06-09</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>12/05/2019</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → NAG → BLR</td>\n",
       "      <td>18:05</td>\n",
       "      <td>23:30</td>\n",
       "      <td>5h 25m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>6218</td>\n",
       "      <td>2019-05-12</td>\n",
       "      <td>2019-05-12</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>01/03/2019</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → NAG → DEL</td>\n",
       "      <td>16:50</td>\n",
       "      <td>21:35</td>\n",
       "      <td>4h 45m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>13302</td>\n",
       "      <td>2019-03-01</td>\n",
       "      <td>2019-03-01</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Airline Date_of_Journey    Source Destination                  Route  \\\n",
       "0       IndiGo      24/03/2019  Banglore   New Delhi              BLR → DEL   \n",
       "1    Air India       1/05/2019   Kolkata    Banglore  CCU → IXR → BBI → BLR   \n",
       "2  Jet Airways       9/06/2019     Delhi      Cochin  DEL → LKO → BOM → COK   \n",
       "3       IndiGo      12/05/2019   Kolkata    Banglore        CCU → NAG → BLR   \n",
       "4       IndiGo      01/03/2019  Banglore   New Delhi        BLR → NAG → DEL   \n",
       "\n",
       "  Dep_Time  Arrival_Time Duration Total_Stops Additional_Info  Price  \\\n",
       "0    22:20  01:10 22 Mar   2h 50m    non-stop         No info   3897   \n",
       "1    05:50         13:15   7h 25m     2 stops         No info   7662   \n",
       "2    09:25  04:25 10 Jun      19h     2 stops         No info  13882   \n",
       "3    18:05         23:30   5h 25m      1 stop         No info   6218   \n",
       "4    16:50         21:35   4h 45m      1 stop         No info  13302   \n",
       "\n",
       "  Journey_Month       Date  month  day  \n",
       "0    2019-03-24 2019-03-24      3   24  \n",
       "1    2019-05-01 2019-05-01      5    1  \n",
       "2    2019-06-09 2019-06-09      6    9  \n",
       "3    2019-05-12 2019-05-12      5   12  \n",
       "4    2019-03-01 2019-03-01      3    1  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['day'] = pd.to_datetime(df.Date, format='%d/%m/%Y').dt.day\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "7535c729",
   "metadata": {},
   "outputs": [
    {
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       " 600,\n",
       " 690,\n",
       " 450,\n",
       " ...]"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Convert the Duration to numeric \n",
    "l=list(df['Duration'])\n",
    "h=0\n",
    "m=0\n",
    "d=[]\n",
    "for i in l:\n",
    "    s=str(i).split(\" \")\n",
    "    if len(s)==2:\n",
    "        if 'h' in s[0]:\n",
    "            h=s[0].split('h')\n",
    "        if 'm' in s[1]:\n",
    "            m=s[1].split('m')\n",
    "    if len(s)==1:\n",
    "        if 'h' in s[0]:\n",
    "            h=s[0].split('h')\n",
    "        if 'm' in s[0]:\n",
    "            m=s[0].split('m')\n",
    "    d.append((int(h[0])*60+int(m[0])))\n",
    "    h=[0]\n",
    "    m=[0]\n",
    "d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "709f6b23",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(['minutes'],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "e1c67080",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Duration</th>\n",
       "      <th>minutes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6032</th>\n",
       "      <td>2h 20m</td>\n",
       "      <td>140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3286</th>\n",
       "      <td>15h 5m</td>\n",
       "      <td>905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600</th>\n",
       "      <td>7h 35m</td>\n",
       "      <td>455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4982</th>\n",
       "      <td>2h 40m</td>\n",
       "      <td>160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8461</th>\n",
       "      <td>15h 35m</td>\n",
       "      <td>935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5912</th>\n",
       "      <td>20h 25m</td>\n",
       "      <td>1225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9668</th>\n",
       "      <td>15h 20m</td>\n",
       "      <td>920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4709</th>\n",
       "      <td>2h 50m</td>\n",
       "      <td>170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7667</th>\n",
       "      <td>3h</td>\n",
       "      <td>180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6724</th>\n",
       "      <td>1h 30m</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1742</th>\n",
       "      <td>15h 30m</td>\n",
       "      <td>930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6312</th>\n",
       "      <td>28h 50m</td>\n",
       "      <td>1730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9022</th>\n",
       "      <td>12h 20m</td>\n",
       "      <td>740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>2h 20m</td>\n",
       "      <td>140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2814</th>\n",
       "      <td>24h 40m</td>\n",
       "      <td>1480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1208</th>\n",
       "      <td>1h 30m</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9086</th>\n",
       "      <td>8h 30m</td>\n",
       "      <td>510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4997</th>\n",
       "      <td>15h 55m</td>\n",
       "      <td>955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1946</th>\n",
       "      <td>1h 30m</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8900</th>\n",
       "      <td>15h</td>\n",
       "      <td>900</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Duration  minutes\n",
       "6032   2h 20m      140\n",
       "3286   15h 5m      905\n",
       "600    7h 35m      455\n",
       "4982   2h 40m      160\n",
       "8461  15h 35m      935\n",
       "5912  20h 25m     1225\n",
       "9668  15h 20m      920\n",
       "4709   2h 50m      170\n",
       "7667       3h      180\n",
       "6724   1h 30m       90\n",
       "1742  15h 30m      930\n",
       "6312  28h 50m     1730\n",
       "9022  12h 20m      740\n",
       "184    2h 20m      140\n",
       "2814  24h 40m     1480\n",
       "1208   1h 30m       90\n",
       "9086   8h 30m      510\n",
       "4997  15h 55m      955\n",
       "1946   1h 30m       90\n",
       "8900      15h      900"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['minutes']=d\n",
    "df[['Duration','minutes']].sample(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "a843113b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Airline</th>\n",
       "      <th>Source</th>\n",
       "      <th>Destination</th>\n",
       "      <th>Route</th>\n",
       "      <th>Dep_Time</th>\n",
       "      <th>Arrival_Time</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Total_Stops</th>\n",
       "      <th>Additional_Info</th>\n",
       "      <th>Price</th>\n",
       "      <th>Date</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>minutes</th>\n",
       "      <th>dep_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>22:20</td>\n",
       "      <td>01:10 22 Mar</td>\n",
       "      <td>2h 50m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>3897</td>\n",
       "      <td>2019-03-24</td>\n",
       "      <td>3</td>\n",
       "      <td>24</td>\n",
       "      <td>170</td>\n",
       "      <td>22:20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Air India</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → IXR → BBI → BLR</td>\n",
       "      <td>05:50</td>\n",
       "      <td>13:15</td>\n",
       "      <td>7h 25m</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>7662</td>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>445</td>\n",
       "      <td>05:50:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → LKO → BOM → COK</td>\n",
       "      <td>09:25</td>\n",
       "      <td>04:25 10 Jun</td>\n",
       "      <td>19h</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>13882</td>\n",
       "      <td>2019-06-09</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>1140</td>\n",
       "      <td>09:25:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → NAG → BLR</td>\n",
       "      <td>18:05</td>\n",
       "      <td>23:30</td>\n",
       "      <td>5h 25m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>6218</td>\n",
       "      <td>2019-05-12</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>325</td>\n",
       "      <td>18:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → NAG → DEL</td>\n",
       "      <td>16:50</td>\n",
       "      <td>21:35</td>\n",
       "      <td>4h 45m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>13302</td>\n",
       "      <td>2019-03-01</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>285</td>\n",
       "      <td>16:50:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>SpiceJet</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → BLR</td>\n",
       "      <td>09:00</td>\n",
       "      <td>11:25</td>\n",
       "      <td>2h 25m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>3873</td>\n",
       "      <td>2019-06-24</td>\n",
       "      <td>6</td>\n",
       "      <td>24</td>\n",
       "      <td>145</td>\n",
       "      <td>09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → BOM → DEL</td>\n",
       "      <td>18:55</td>\n",
       "      <td>10:25 13 Mar</td>\n",
       "      <td>15h 30m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>In-flight meal not included</td>\n",
       "      <td>11087</td>\n",
       "      <td>2019-03-12</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>930</td>\n",
       "      <td>18:55:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → BOM → DEL</td>\n",
       "      <td>08:00</td>\n",
       "      <td>05:05 02 Mar</td>\n",
       "      <td>21h 5m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>22270</td>\n",
       "      <td>2019-03-01</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1265</td>\n",
       "      <td>08:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → BOM → DEL</td>\n",
       "      <td>08:55</td>\n",
       "      <td>10:25 13 Mar</td>\n",
       "      <td>25h 30m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>In-flight meal not included</td>\n",
       "      <td>11087</td>\n",
       "      <td>2019-03-12</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>1530</td>\n",
       "      <td>08:55:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Multiple carriers</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → BOM → COK</td>\n",
       "      <td>11:25</td>\n",
       "      <td>19:15</td>\n",
       "      <td>7h 50m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>8625</td>\n",
       "      <td>2019-05-27</td>\n",
       "      <td>5</td>\n",
       "      <td>27</td>\n",
       "      <td>470</td>\n",
       "      <td>11:25:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Air India</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → BLR → COK</td>\n",
       "      <td>09:45</td>\n",
       "      <td>23:00</td>\n",
       "      <td>13h 15m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>8907</td>\n",
       "      <td>2019-06-01</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>795</td>\n",
       "      <td>09:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → BLR</td>\n",
       "      <td>20:20</td>\n",
       "      <td>22:55</td>\n",
       "      <td>2h 35m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>4174</td>\n",
       "      <td>2019-04-18</td>\n",
       "      <td>4</td>\n",
       "      <td>18</td>\n",
       "      <td>155</td>\n",
       "      <td>20:20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Air India</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>MAA → CCU</td>\n",
       "      <td>11:40</td>\n",
       "      <td>13:55</td>\n",
       "      <td>2h 15m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>4667</td>\n",
       "      <td>2019-06-24</td>\n",
       "      <td>6</td>\n",
       "      <td>24</td>\n",
       "      <td>135</td>\n",
       "      <td>11:40:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → BOM → BLR</td>\n",
       "      <td>21:10</td>\n",
       "      <td>09:20 10 May</td>\n",
       "      <td>12h 10m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>In-flight meal not included</td>\n",
       "      <td>9663</td>\n",
       "      <td>2019-05-09</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>730</td>\n",
       "      <td>21:10:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → BLR</td>\n",
       "      <td>17:15</td>\n",
       "      <td>19:50</td>\n",
       "      <td>2h 35m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>4804</td>\n",
       "      <td>2019-04-24</td>\n",
       "      <td>4</td>\n",
       "      <td>24</td>\n",
       "      <td>155</td>\n",
       "      <td>17:15:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Air India</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → AMD → BOM → COK</td>\n",
       "      <td>16:40</td>\n",
       "      <td>19:15 04 Mar</td>\n",
       "      <td>26h 35m</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>14011</td>\n",
       "      <td>2019-03-03</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>1595</td>\n",
       "      <td>16:40:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>SpiceJet</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → PNQ → COK</td>\n",
       "      <td>08:45</td>\n",
       "      <td>13:15</td>\n",
       "      <td>4h 30m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>5830</td>\n",
       "      <td>2019-04-15</td>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>270</td>\n",
       "      <td>08:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → BOM → COK</td>\n",
       "      <td>14:00</td>\n",
       "      <td>12:35 13 Jun</td>\n",
       "      <td>22h 35m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>In-flight meal not included</td>\n",
       "      <td>10262</td>\n",
       "      <td>2019-06-12</td>\n",
       "      <td>6</td>\n",
       "      <td>12</td>\n",
       "      <td>1355</td>\n",
       "      <td>14:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Air India</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → CCU → BOM → COK</td>\n",
       "      <td>20:15</td>\n",
       "      <td>19:15 13 Jun</td>\n",
       "      <td>23h</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>13381</td>\n",
       "      <td>2019-06-12</td>\n",
       "      <td>6</td>\n",
       "      <td>12</td>\n",
       "      <td>1380</td>\n",
       "      <td>20:15:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → BOM → COK</td>\n",
       "      <td>16:00</td>\n",
       "      <td>12:35 28 May</td>\n",
       "      <td>20h 35m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>In-flight meal not included</td>\n",
       "      <td>12898</td>\n",
       "      <td>2019-05-27</td>\n",
       "      <td>5</td>\n",
       "      <td>27</td>\n",
       "      <td>1235</td>\n",
       "      <td>16:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>GoAir</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → BOM → COK</td>\n",
       "      <td>14:10</td>\n",
       "      <td>19:20</td>\n",
       "      <td>5h 10m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>19495</td>\n",
       "      <td>2019-03-06</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>310</td>\n",
       "      <td>14:10:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Air India</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → COK → DEL</td>\n",
       "      <td>22:00</td>\n",
       "      <td>13:20 19 Mar</td>\n",
       "      <td>15h 20m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>6955</td>\n",
       "      <td>2019-03-21</td>\n",
       "      <td>3</td>\n",
       "      <td>21</td>\n",
       "      <td>920</td>\n",
       "      <td>22:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>04:00</td>\n",
       "      <td>06:50</td>\n",
       "      <td>2h 50m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>3943</td>\n",
       "      <td>2019-04-03</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>170</td>\n",
       "      <td>04:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>18:55</td>\n",
       "      <td>21:50</td>\n",
       "      <td>2h 55m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>4823</td>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>175</td>\n",
       "      <td>18:55:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → BOM → BLR</td>\n",
       "      <td>18:55</td>\n",
       "      <td>08:15 07 May</td>\n",
       "      <td>13h 20m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>In-flight meal not included</td>\n",
       "      <td>7757</td>\n",
       "      <td>2019-05-06</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>800</td>\n",
       "      <td>18:55:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → IDR → BOM → COK</td>\n",
       "      <td>21:25</td>\n",
       "      <td>12:35 10 Jun</td>\n",
       "      <td>15h 10m</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>13292</td>\n",
       "      <td>2019-06-09</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>910</td>\n",
       "      <td>21:25:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → LKO → COK</td>\n",
       "      <td>21:50</td>\n",
       "      <td>03:35 02 Jun</td>\n",
       "      <td>5h 45m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>8238</td>\n",
       "      <td>2019-06-01</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>345</td>\n",
       "      <td>21:50:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>GoAir</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → BOM → COK</td>\n",
       "      <td>07:00</td>\n",
       "      <td>12:55</td>\n",
       "      <td>5h 55m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>7682</td>\n",
       "      <td>2019-05-15</td>\n",
       "      <td>5</td>\n",
       "      <td>15</td>\n",
       "      <td>355</td>\n",
       "      <td>07:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Vistara</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>09:45</td>\n",
       "      <td>12:35</td>\n",
       "      <td>2h 50m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>4668</td>\n",
       "      <td>2019-06-18</td>\n",
       "      <td>6</td>\n",
       "      <td>18</td>\n",
       "      <td>170</td>\n",
       "      <td>09:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Vistara</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>MAA → CCU</td>\n",
       "      <td>07:05</td>\n",
       "      <td>09:20</td>\n",
       "      <td>2h 15m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>3687</td>\n",
       "      <td>2019-06-15</td>\n",
       "      <td>6</td>\n",
       "      <td>15</td>\n",
       "      <td>135</td>\n",
       "      <td>07:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Vistara</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>MAA → CCU</td>\n",
       "      <td>07:05</td>\n",
       "      <td>09:20</td>\n",
       "      <td>2h 15m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>3687</td>\n",
       "      <td>2019-06-18</td>\n",
       "      <td>6</td>\n",
       "      <td>18</td>\n",
       "      <td>135</td>\n",
       "      <td>07:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Air India</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → GAU → DEL → BLR</td>\n",
       "      <td>09:50</td>\n",
       "      <td>23:15</td>\n",
       "      <td>13h 25m</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>13227</td>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>805</td>\n",
       "      <td>09:50:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>04:00</td>\n",
       "      <td>06:50</td>\n",
       "      <td>2h 50m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>4423</td>\n",
       "      <td>2019-04-06</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>170</td>\n",
       "      <td>04:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → NAG → BOM → COK</td>\n",
       "      <td>14:35</td>\n",
       "      <td>12:35 16 Jun</td>\n",
       "      <td>22h</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>In-flight meal not included</td>\n",
       "      <td>10919</td>\n",
       "      <td>2019-06-15</td>\n",
       "      <td>6</td>\n",
       "      <td>15</td>\n",
       "      <td>1320</td>\n",
       "      <td>14:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → BOM → COK</td>\n",
       "      <td>07:05</td>\n",
       "      <td>12:35</td>\n",
       "      <td>5h 30m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>In-flight meal not included</td>\n",
       "      <td>12373</td>\n",
       "      <td>2019-05-18</td>\n",
       "      <td>5</td>\n",
       "      <td>18</td>\n",
       "      <td>330</td>\n",
       "      <td>07:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → BOM → COK</td>\n",
       "      <td>10:35</td>\n",
       "      <td>21:00</td>\n",
       "      <td>10h 25m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>5894</td>\n",
       "      <td>2019-06-27</td>\n",
       "      <td>6</td>\n",
       "      <td>27</td>\n",
       "      <td>625</td>\n",
       "      <td>10:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>SpiceJet</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → MAA → BLR</td>\n",
       "      <td>15:05</td>\n",
       "      <td>20:20</td>\n",
       "      <td>5h 15m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>4649</td>\n",
       "      <td>2019-05-21</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>315</td>\n",
       "      <td>15:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Air India</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → BLR</td>\n",
       "      <td>14:15</td>\n",
       "      <td>16:45</td>\n",
       "      <td>2h 30m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>6245</td>\n",
       "      <td>2019-05-18</td>\n",
       "      <td>5</td>\n",
       "      <td>18</td>\n",
       "      <td>150</td>\n",
       "      <td>14:15:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → BOM → DEL</td>\n",
       "      <td>07:00</td>\n",
       "      <td>13:15</td>\n",
       "      <td>6h 15m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>19225</td>\n",
       "      <td>2019-03-06</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>375</td>\n",
       "      <td>07:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → BOM → COK</td>\n",
       "      <td>07:05</td>\n",
       "      <td>19:00</td>\n",
       "      <td>11h 55m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>14924</td>\n",
       "      <td>2019-06-03</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>715</td>\n",
       "      <td>07:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Multiple carriers</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → HYD → COK</td>\n",
       "      <td>07:05</td>\n",
       "      <td>18:10</td>\n",
       "      <td>11h 5m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>9646</td>\n",
       "      <td>2019-05-21</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>665</td>\n",
       "      <td>07:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Air India</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → BOM → DEL</td>\n",
       "      <td>06:45</td>\n",
       "      <td>15:15</td>\n",
       "      <td>8h 30m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>8714</td>\n",
       "      <td>2019-03-15</td>\n",
       "      <td>3</td>\n",
       "      <td>15</td>\n",
       "      <td>510</td>\n",
       "      <td>06:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → BOM → COK</td>\n",
       "      <td>20:55</td>\n",
       "      <td>19:00 19 May</td>\n",
       "      <td>22h 5m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>In-flight meal not included</td>\n",
       "      <td>12373</td>\n",
       "      <td>2019-05-18</td>\n",
       "      <td>5</td>\n",
       "      <td>18</td>\n",
       "      <td>1325</td>\n",
       "      <td>20:55:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Air Asia</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>11:10</td>\n",
       "      <td>13:55</td>\n",
       "      <td>2h 45m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>3383</td>\n",
       "      <td>2019-05-06</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>165</td>\n",
       "      <td>11:10:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Multiple carriers</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → BOM → COK</td>\n",
       "      <td>09:00</td>\n",
       "      <td>21:00</td>\n",
       "      <td>12h</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>13062</td>\n",
       "      <td>2019-03-21</td>\n",
       "      <td>3</td>\n",
       "      <td>21</td>\n",
       "      <td>720</td>\n",
       "      <td>09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>SpiceJet</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>05:45</td>\n",
       "      <td>08:35</td>\n",
       "      <td>2h 50m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No check-in baggage included</td>\n",
       "      <td>3527</td>\n",
       "      <td>2019-03-24</td>\n",
       "      <td>3</td>\n",
       "      <td>24</td>\n",
       "      <td>170</td>\n",
       "      <td>05:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>04:00</td>\n",
       "      <td>06:50</td>\n",
       "      <td>2h 50m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>3943</td>\n",
       "      <td>2019-05-27</td>\n",
       "      <td>5</td>\n",
       "      <td>27</td>\n",
       "      <td>170</td>\n",
       "      <td>04:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Air India</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>MAA → CCU</td>\n",
       "      <td>11:40</td>\n",
       "      <td>13:55</td>\n",
       "      <td>2h 15m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>4667</td>\n",
       "      <td>2019-05-03</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>135</td>\n",
       "      <td>11:40:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Air India</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → HYD → BLR</td>\n",
       "      <td>19:00</td>\n",
       "      <td>11:05 16 May</td>\n",
       "      <td>16h 5m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>6117</td>\n",
       "      <td>2019-05-15</td>\n",
       "      <td>5</td>\n",
       "      <td>15</td>\n",
       "      <td>965</td>\n",
       "      <td>19:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → AMD → BOM → COK</td>\n",
       "      <td>23:05</td>\n",
       "      <td>19:00 28 Jun</td>\n",
       "      <td>19h 55m</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>In-flight meal not included</td>\n",
       "      <td>11150</td>\n",
       "      <td>2019-06-27</td>\n",
       "      <td>6</td>\n",
       "      <td>27</td>\n",
       "      <td>1195</td>\n",
       "      <td>23:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → COK</td>\n",
       "      <td>11:00</td>\n",
       "      <td>14:15</td>\n",
       "      <td>3h 15m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>In-flight meal not included</td>\n",
       "      <td>7202</td>\n",
       "      <td>2019-03-09</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>195</td>\n",
       "      <td>11:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → DEL → BLR</td>\n",
       "      <td>09:35</td>\n",
       "      <td>10:55 02 May</td>\n",
       "      <td>25h 20m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>12121</td>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1520</td>\n",
       "      <td>09:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>22:20</td>\n",
       "      <td>01:10 28 Mar</td>\n",
       "      <td>2h 50m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>4377</td>\n",
       "      <td>2019-03-24</td>\n",
       "      <td>3</td>\n",
       "      <td>24</td>\n",
       "      <td>170</td>\n",
       "      <td>22:20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>21:15</td>\n",
       "      <td>00:15 19 Jun</td>\n",
       "      <td>3h</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>3943</td>\n",
       "      <td>2019-06-18</td>\n",
       "      <td>6</td>\n",
       "      <td>18</td>\n",
       "      <td>180</td>\n",
       "      <td>21:15:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Air Asia</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>23:55</td>\n",
       "      <td>02:45 04 Apr</td>\n",
       "      <td>2h 50m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>4483</td>\n",
       "      <td>2019-04-03</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>170</td>\n",
       "      <td>23:55:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → BOM → BLR</td>\n",
       "      <td>19:45</td>\n",
       "      <td>12:00 25 Mar</td>\n",
       "      <td>16h 15m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>14231</td>\n",
       "      <td>2019-03-24</td>\n",
       "      <td>3</td>\n",
       "      <td>24</td>\n",
       "      <td>975</td>\n",
       "      <td>19:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Air India</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → BOM → AMD → DEL</td>\n",
       "      <td>08:50</td>\n",
       "      <td>23:55</td>\n",
       "      <td>15h 5m</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>17345</td>\n",
       "      <td>2019-03-01</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>905</td>\n",
       "      <td>08:50:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Vistara</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>MAA → CCU</td>\n",
       "      <td>07:05</td>\n",
       "      <td>09:20</td>\n",
       "      <td>2h 15m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>7414</td>\n",
       "      <td>2019-03-06</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>135</td>\n",
       "      <td>07:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Multiple carriers</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → BOM → COK</td>\n",
       "      <td>19:00</td>\n",
       "      <td>01:30 07 May</td>\n",
       "      <td>6h 30m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>8073</td>\n",
       "      <td>2019-05-06</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>390</td>\n",
       "      <td>19:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Vistara</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>BOM → DEL → HYD</td>\n",
       "      <td>15:40</td>\n",
       "      <td>16:45 07 Mar</td>\n",
       "      <td>25h 5m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>12395</td>\n",
       "      <td>2019-03-06</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1505</td>\n",
       "      <td>15:40:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Airline    Source Destination                  Route Dep_Time  \\\n",
       "0              IndiGo  Banglore   New Delhi              BLR → DEL    22:20   \n",
       "1           Air India   Kolkata    Banglore  CCU → IXR → BBI → BLR    05:50   \n",
       "2         Jet Airways     Delhi      Cochin  DEL → LKO → BOM → COK    09:25   \n",
       "3              IndiGo   Kolkata    Banglore        CCU → NAG → BLR    18:05   \n",
       "4              IndiGo  Banglore   New Delhi        BLR → NAG → DEL    16:50   \n",
       "5            SpiceJet   Kolkata    Banglore              CCU → BLR    09:00   \n",
       "6         Jet Airways  Banglore   New Delhi        BLR → BOM → DEL    18:55   \n",
       "7         Jet Airways  Banglore   New Delhi        BLR → BOM → DEL    08:00   \n",
       "8         Jet Airways  Banglore   New Delhi        BLR → BOM → DEL    08:55   \n",
       "9   Multiple carriers     Delhi      Cochin        DEL → BOM → COK    11:25   \n",
       "10          Air India     Delhi      Cochin        DEL → BLR → COK    09:45   \n",
       "11             IndiGo   Kolkata    Banglore              CCU → BLR    20:20   \n",
       "12          Air India   Chennai     Kolkata              MAA → CCU    11:40   \n",
       "13        Jet Airways   Kolkata    Banglore        CCU → BOM → BLR    21:10   \n",
       "14             IndiGo   Kolkata    Banglore              CCU → BLR    17:15   \n",
       "15          Air India     Delhi      Cochin  DEL → AMD → BOM → COK    16:40   \n",
       "16           SpiceJet     Delhi      Cochin        DEL → PNQ → COK    08:45   \n",
       "17        Jet Airways     Delhi      Cochin        DEL → BOM → COK    14:00   \n",
       "18          Air India     Delhi      Cochin  DEL → CCU → BOM → COK    20:15   \n",
       "19        Jet Airways     Delhi      Cochin        DEL → BOM → COK    16:00   \n",
       "20              GoAir     Delhi      Cochin        DEL → BOM → COK    14:10   \n",
       "21          Air India  Banglore   New Delhi        BLR → COK → DEL    22:00   \n",
       "22             IndiGo  Banglore       Delhi              BLR → DEL    04:00   \n",
       "23             IndiGo  Banglore       Delhi              BLR → DEL    18:55   \n",
       "24        Jet Airways   Kolkata    Banglore        CCU → BOM → BLR    18:55   \n",
       "25        Jet Airways     Delhi      Cochin  DEL → IDR → BOM → COK    21:25   \n",
       "26             IndiGo     Delhi      Cochin        DEL → LKO → COK    21:50   \n",
       "27              GoAir     Delhi      Cochin        DEL → BOM → COK    07:00   \n",
       "28            Vistara  Banglore       Delhi              BLR → DEL    09:45   \n",
       "29            Vistara   Chennai     Kolkata              MAA → CCU    07:05   \n",
       "30            Vistara   Chennai     Kolkata              MAA → CCU    07:05   \n",
       "31          Air India   Kolkata    Banglore  CCU → GAU → DEL → BLR    09:50   \n",
       "32             IndiGo  Banglore       Delhi              BLR → DEL    04:00   \n",
       "33        Jet Airways     Delhi      Cochin  DEL → NAG → BOM → COK    14:35   \n",
       "34        Jet Airways     Delhi      Cochin        DEL → BOM → COK    07:05   \n",
       "35             IndiGo     Delhi      Cochin        DEL → BOM → COK    10:35   \n",
       "36           SpiceJet   Kolkata    Banglore        CCU → MAA → BLR    15:05   \n",
       "37          Air India   Kolkata    Banglore              CCU → BLR    14:15   \n",
       "38        Jet Airways  Banglore   New Delhi        BLR → BOM → DEL    07:00   \n",
       "39        Jet Airways     Delhi      Cochin        DEL → BOM → COK    07:05   \n",
       "40  Multiple carriers     Delhi      Cochin        DEL → HYD → COK    07:05   \n",
       "41          Air India  Banglore   New Delhi        BLR → BOM → DEL    06:45   \n",
       "42        Jet Airways     Delhi      Cochin        DEL → BOM → COK    20:55   \n",
       "43           Air Asia  Banglore       Delhi              BLR → DEL    11:10   \n",
       "44  Multiple carriers     Delhi      Cochin        DEL → BOM → COK    09:00   \n",
       "45           SpiceJet  Banglore   New Delhi              BLR → DEL    05:45   \n",
       "46             IndiGo  Banglore       Delhi              BLR → DEL    04:00   \n",
       "47          Air India   Chennai     Kolkata              MAA → CCU    11:40   \n",
       "48          Air India   Kolkata    Banglore        CCU → HYD → BLR    19:00   \n",
       "49        Jet Airways     Delhi      Cochin  DEL → AMD → BOM → COK    23:05   \n",
       "50        Jet Airways     Delhi      Cochin              DEL → COK    11:00   \n",
       "51        Jet Airways   Kolkata    Banglore        CCU → DEL → BLR    09:35   \n",
       "52             IndiGo  Banglore   New Delhi              BLR → DEL    22:20   \n",
       "53             IndiGo  Banglore       Delhi              BLR → DEL    21:15   \n",
       "54           Air Asia  Banglore       Delhi              BLR → DEL    23:55   \n",
       "55        Jet Airways   Kolkata    Banglore        CCU → BOM → BLR    19:45   \n",
       "56          Air India  Banglore   New Delhi  BLR → BOM → AMD → DEL    08:50   \n",
       "57            Vistara   Chennai     Kolkata              MAA → CCU    07:05   \n",
       "58  Multiple carriers     Delhi      Cochin        DEL → BOM → COK    19:00   \n",
       "59            Vistara    Mumbai   Hyderabad        BOM → DEL → HYD    15:40   \n",
       "\n",
       "    Arrival_Time Duration Total_Stops               Additional_Info  Price  \\\n",
       "0   01:10 22 Mar   2h 50m    non-stop                       No info   3897   \n",
       "1          13:15   7h 25m     2 stops                       No info   7662   \n",
       "2   04:25 10 Jun      19h     2 stops                       No info  13882   \n",
       "3          23:30   5h 25m      1 stop                       No info   6218   \n",
       "4          21:35   4h 45m      1 stop                       No info  13302   \n",
       "5          11:25   2h 25m    non-stop                       No info   3873   \n",
       "6   10:25 13 Mar  15h 30m      1 stop   In-flight meal not included  11087   \n",
       "7   05:05 02 Mar   21h 5m      1 stop                       No info  22270   \n",
       "8   10:25 13 Mar  25h 30m      1 stop   In-flight meal not included  11087   \n",
       "9          19:15   7h 50m      1 stop                       No info   8625   \n",
       "10         23:00  13h 15m      1 stop                       No info   8907   \n",
       "11         22:55   2h 35m    non-stop                       No info   4174   \n",
       "12         13:55   2h 15m    non-stop                       No info   4667   \n",
       "13  09:20 10 May  12h 10m      1 stop   In-flight meal not included   9663   \n",
       "14         19:50   2h 35m    non-stop                       No info   4804   \n",
       "15  19:15 04 Mar  26h 35m     2 stops                       No info  14011   \n",
       "16         13:15   4h 30m      1 stop                       No info   5830   \n",
       "17  12:35 13 Jun  22h 35m      1 stop   In-flight meal not included  10262   \n",
       "18  19:15 13 Jun      23h     2 stops                       No info  13381   \n",
       "19  12:35 28 May  20h 35m      1 stop   In-flight meal not included  12898   \n",
       "20         19:20   5h 10m      1 stop                       No info  19495   \n",
       "21  13:20 19 Mar  15h 20m      1 stop                       No info   6955   \n",
       "22         06:50   2h 50m    non-stop                       No info   3943   \n",
       "23         21:50   2h 55m    non-stop                       No info   4823   \n",
       "24  08:15 07 May  13h 20m      1 stop   In-flight meal not included   7757   \n",
       "25  12:35 10 Jun  15h 10m     2 stops                       No info  13292   \n",
       "26  03:35 02 Jun   5h 45m      1 stop                       No info   8238   \n",
       "27         12:55   5h 55m      1 stop                       No info   7682   \n",
       "28         12:35   2h 50m    non-stop                       No info   4668   \n",
       "29         09:20   2h 15m    non-stop                       No info   3687   \n",
       "30         09:20   2h 15m    non-stop                       No info   3687   \n",
       "31         23:15  13h 25m     2 stops                       No info  13227   \n",
       "32         06:50   2h 50m    non-stop                       No info   4423   \n",
       "33  12:35 16 Jun      22h     2 stops   In-flight meal not included  10919   \n",
       "34         12:35   5h 30m      1 stop   In-flight meal not included  12373   \n",
       "35         21:00  10h 25m      1 stop                       No info   5894   \n",
       "36         20:20   5h 15m      1 stop                       No info   4649   \n",
       "37         16:45   2h 30m    non-stop                       No info   6245   \n",
       "38         13:15   6h 15m      1 stop                       No info  19225   \n",
       "39         19:00  11h 55m      1 stop                       No info  14924   \n",
       "40         18:10   11h 5m      1 stop                       No info   9646   \n",
       "41         15:15   8h 30m      1 stop                       No info   8714   \n",
       "42  19:00 19 May   22h 5m      1 stop   In-flight meal not included  12373   \n",
       "43         13:55   2h 45m    non-stop                       No info   3383   \n",
       "44         21:00      12h      1 stop                       No info  13062   \n",
       "45         08:35   2h 50m    non-stop  No check-in baggage included   3527   \n",
       "46         06:50   2h 50m    non-stop                       No info   3943   \n",
       "47         13:55   2h 15m    non-stop                       No info   4667   \n",
       "48  11:05 16 May   16h 5m      1 stop                       No info   6117   \n",
       "49  19:00 28 Jun  19h 55m     2 stops   In-flight meal not included  11150   \n",
       "50         14:15   3h 15m    non-stop   In-flight meal not included   7202   \n",
       "51  10:55 02 May  25h 20m      1 stop                       No info  12121   \n",
       "52  01:10 28 Mar   2h 50m    non-stop                       No info   4377   \n",
       "53  00:15 19 Jun       3h    non-stop                       No info   3943   \n",
       "54  02:45 04 Apr   2h 50m    non-stop                       No info   4483   \n",
       "55  12:00 25 Mar  16h 15m      1 stop                       No info  14231   \n",
       "56         23:55   15h 5m     2 stops                       No info  17345   \n",
       "57         09:20   2h 15m    non-stop                       No info   7414   \n",
       "58  01:30 07 May   6h 30m      1 stop                       No info   8073   \n",
       "59  16:45 07 Mar   25h 5m      1 stop                       No info  12395   \n",
       "\n",
       "         Date  month  day  minutes  dep_time  \n",
       "0  2019-03-24      3   24      170  22:20:00  \n",
       "1  2019-05-01      5    1      445  05:50:00  \n",
       "2  2019-06-09      6    9     1140  09:25:00  \n",
       "3  2019-05-12      5   12      325  18:05:00  \n",
       "4  2019-03-01      3    1      285  16:50:00  \n",
       "5  2019-06-24      6   24      145  09:00:00  \n",
       "6  2019-03-12      3   12      930  18:55:00  \n",
       "7  2019-03-01      3    1     1265  08:00:00  \n",
       "8  2019-03-12      3   12     1530  08:55:00  \n",
       "9  2019-05-27      5   27      470  11:25:00  \n",
       "10 2019-06-01      6    1      795  09:45:00  \n",
       "11 2019-04-18      4   18      155  20:20:00  \n",
       "12 2019-06-24      6   24      135  11:40:00  \n",
       "13 2019-05-09      5    9      730  21:10:00  \n",
       "14 2019-04-24      4   24      155  17:15:00  \n",
       "15 2019-03-03      3    3     1595  16:40:00  \n",
       "16 2019-04-15      4   15      270  08:45:00  \n",
       "17 2019-06-12      6   12     1355  14:00:00  \n",
       "18 2019-06-12      6   12     1380  20:15:00  \n",
       "19 2019-05-27      5   27     1235  16:00:00  \n",
       "20 2019-03-06      3    6      310  14:10:00  \n",
       "21 2019-03-21      3   21      920  22:00:00  \n",
       "22 2019-04-03      4    3      170  04:00:00  \n",
       "23 2019-05-01      5    1      175  18:55:00  \n",
       "24 2019-05-06      5    6      800  18:55:00  \n",
       "25 2019-06-09      6    9      910  21:25:00  \n",
       "26 2019-06-01      6    1      345  21:50:00  \n",
       "27 2019-05-15      5   15      355  07:00:00  \n",
       "28 2019-06-18      6   18      170  09:45:00  \n",
       "29 2019-06-15      6   15      135  07:05:00  \n",
       "30 2019-06-18      6   18      135  07:05:00  \n",
       "31 2019-05-01      5    1      805  09:50:00  \n",
       "32 2019-04-06      4    6      170  04:00:00  \n",
       "33 2019-06-15      6   15     1320  14:35:00  \n",
       "34 2019-05-18      5   18      330  07:05:00  \n",
       "35 2019-06-27      6   27      625  10:35:00  \n",
       "36 2019-05-21      5   21      315  15:05:00  \n",
       "37 2019-05-18      5   18      150  14:15:00  \n",
       "38 2019-03-06      3    6      375  07:00:00  \n",
       "39 2019-06-03      6    3      715  07:05:00  \n",
       "40 2019-05-21      5   21      665  07:05:00  \n",
       "41 2019-03-15      3   15      510  06:45:00  \n",
       "42 2019-05-18      5   18     1325  20:55:00  \n",
       "43 2019-05-06      5    6      165  11:10:00  \n",
       "44 2019-03-21      3   21      720  09:00:00  \n",
       "45 2019-03-24      3   24      170  05:45:00  \n",
       "46 2019-05-27      5   27      170  04:00:00  \n",
       "47 2019-05-03      5    3      135  11:40:00  \n",
       "48 2019-05-15      5   15      965  19:00:00  \n",
       "49 2019-06-27      6   27     1195  23:05:00  \n",
       "50 2019-03-09      3    9      195  11:00:00  \n",
       "51 2019-05-01      5    1     1520  09:35:00  \n",
       "52 2019-03-24      3   24      170  22:20:00  \n",
       "53 2019-06-18      6   18      180  21:15:00  \n",
       "54 2019-04-03      4    3      170  23:55:00  \n",
       "55 2019-03-24      3   24      975  19:45:00  \n",
       "56 2019-03-01      3    1      905  08:50:00  \n",
       "57 2019-03-06      3    6      135  07:05:00  \n",
       "58 2019-05-06      5    6      390  19:00:00  \n",
       "59 2019-03-06      3    6     1505  15:40:00  "
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['dep_time'] = pd.to_datetime(df.Dep_Time, format='%H:%M').dt.time\n",
    "df.head(60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "8f4f84d7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10683 entries, 0 to 10682\n",
      "Data columns (total 15 columns):\n",
      " #   Column           Non-Null Count  Dtype         \n",
      "---  ------           --------------  -----         \n",
      " 0   Airline          10683 non-null  object        \n",
      " 1   Source           10683 non-null  object        \n",
      " 2   Destination      10683 non-null  object        \n",
      " 3   Route            10682 non-null  object        \n",
      " 4   Dep_Time         10683 non-null  object        \n",
      " 5   Arrival_Time     10683 non-null  object        \n",
      " 6   Duration         10683 non-null  object        \n",
      " 7   Total_Stops      10682 non-null  object        \n",
      " 8   Additional_Info  10683 non-null  object        \n",
      " 9   Price            10683 non-null  int64         \n",
      " 10  Date             10683 non-null  datetime64[ns]\n",
      " 11  month            10683 non-null  int64         \n",
      " 12  day              10683 non-null  int64         \n",
      " 13  minutes          10683 non-null  int64         \n",
      " 14  dep_time         10683 non-null  object        \n",
      "dtypes: datetime64[ns](1), int64(4), object(10)\n",
      "memory usage: 1.2+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "fa9e8302",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>Airline</th>\n",
       "      <th>Source</th>\n",
       "      <th>Destination</th>\n",
       "      <th>Route</th>\n",
       "      <th>Dep_Time</th>\n",
       "      <th>Arrival_Time</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Total_Stops</th>\n",
       "      <th>Additional_Info</th>\n",
       "      <th>Price</th>\n",
       "      <th>Date</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>minutes</th>\n",
       "      <th>dep_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>22:20</td>\n",
       "      <td>01:10 22 Mar</td>\n",
       "      <td>2h 50m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>3897</td>\n",
       "      <td>2019-03-24</td>\n",
       "      <td>3</td>\n",
       "      <td>24</td>\n",
       "      <td>170</td>\n",
       "      <td>22:20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Air India</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → IXR → BBI → BLR</td>\n",
       "      <td>05:50</td>\n",
       "      <td>13:15</td>\n",
       "      <td>7h 25m</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>7662</td>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>445</td>\n",
       "      <td>05:50:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → LKO → BOM → COK</td>\n",
       "      <td>09:25</td>\n",
       "      <td>04:25 10 Jun</td>\n",
       "      <td>19h</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>13882</td>\n",
       "      <td>2019-06-09</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>1140</td>\n",
       "      <td>09:25:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → NAG → BLR</td>\n",
       "      <td>18:05</td>\n",
       "      <td>23:30</td>\n",
       "      <td>5h 25m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>6218</td>\n",
       "      <td>2019-05-12</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>325</td>\n",
       "      <td>18:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → NAG → DEL</td>\n",
       "      <td>16:50</td>\n",
       "      <td>21:35</td>\n",
       "      <td>4h 45m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>13302</td>\n",
       "      <td>2019-03-01</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>285</td>\n",
       "      <td>16:50:00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10678</th>\n",
       "      <td>Air Asia</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → BLR</td>\n",
       "      <td>19:55</td>\n",
       "      <td>22:25</td>\n",
       "      <td>2h 30m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>4107</td>\n",
       "      <td>2019-04-09</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>150</td>\n",
       "      <td>19:55:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10679</th>\n",
       "      <td>Air India</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → BLR</td>\n",
       "      <td>20:45</td>\n",
       "      <td>23:20</td>\n",
       "      <td>2h 35m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>4145</td>\n",
       "      <td>2019-04-27</td>\n",
       "      <td>4</td>\n",
       "      <td>27</td>\n",
       "      <td>155</td>\n",
       "      <td>20:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10680</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>08:20</td>\n",
       "      <td>11:20</td>\n",
       "      <td>3h</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>7229</td>\n",
       "      <td>2019-04-27</td>\n",
       "      <td>4</td>\n",
       "      <td>27</td>\n",
       "      <td>180</td>\n",
       "      <td>08:20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10681</th>\n",
       "      <td>Vistara</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>11:30</td>\n",
       "      <td>14:10</td>\n",
       "      <td>2h 40m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>12648</td>\n",
       "      <td>2019-03-01</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>160</td>\n",
       "      <td>11:30:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10682</th>\n",
       "      <td>Air India</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → GOI → BOM → COK</td>\n",
       "      <td>10:55</td>\n",
       "      <td>19:15</td>\n",
       "      <td>8h 20m</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>11753</td>\n",
       "      <td>2019-05-09</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>500</td>\n",
       "      <td>10:55:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10683 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Airline    Source Destination                  Route Dep_Time  \\\n",
       "0           IndiGo  Banglore   New Delhi              BLR → DEL    22:20   \n",
       "1        Air India   Kolkata    Banglore  CCU → IXR → BBI → BLR    05:50   \n",
       "2      Jet Airways     Delhi      Cochin  DEL → LKO → BOM → COK    09:25   \n",
       "3           IndiGo   Kolkata    Banglore        CCU → NAG → BLR    18:05   \n",
       "4           IndiGo  Banglore   New Delhi        BLR → NAG → DEL    16:50   \n",
       "...            ...       ...         ...                    ...      ...   \n",
       "10678     Air Asia   Kolkata    Banglore              CCU → BLR    19:55   \n",
       "10679    Air India   Kolkata    Banglore              CCU → BLR    20:45   \n",
       "10680  Jet Airways  Banglore       Delhi              BLR → DEL    08:20   \n",
       "10681      Vistara  Banglore   New Delhi              BLR → DEL    11:30   \n",
       "10682    Air India     Delhi      Cochin  DEL → GOI → BOM → COK    10:55   \n",
       "\n",
       "       Arrival_Time Duration Total_Stops Additional_Info  Price       Date  \\\n",
       "0      01:10 22 Mar   2h 50m    non-stop         No info   3897 2019-03-24   \n",
       "1             13:15   7h 25m     2 stops         No info   7662 2019-05-01   \n",
       "2      04:25 10 Jun      19h     2 stops         No info  13882 2019-06-09   \n",
       "3             23:30   5h 25m      1 stop         No info   6218 2019-05-12   \n",
       "4             21:35   4h 45m      1 stop         No info  13302 2019-03-01   \n",
       "...             ...      ...         ...             ...    ...        ...   \n",
       "10678         22:25   2h 30m    non-stop         No info   4107 2019-04-09   \n",
       "10679         23:20   2h 35m    non-stop         No info   4145 2019-04-27   \n",
       "10680         11:20       3h    non-stop         No info   7229 2019-04-27   \n",
       "10681         14:10   2h 40m    non-stop         No info  12648 2019-03-01   \n",
       "10682         19:15   8h 20m     2 stops         No info  11753 2019-05-09   \n",
       "\n",
       "       month  day  minutes  dep_time  \n",
       "0          3   24      170  22:20:00  \n",
       "1          5    1      445  05:50:00  \n",
       "2          6    9     1140  09:25:00  \n",
       "3          5   12      325  18:05:00  \n",
       "4          3    1      285  16:50:00  \n",
       "...      ...  ...      ...       ...  \n",
       "10678      4    9      150  19:55:00  \n",
       "10679      4   27      155  20:45:00  \n",
       "10680      4   27      180  08:20:00  \n",
       "10681      3    1      160  11:30:00  \n",
       "10682      5    9      500  10:55:00  \n",
       "\n",
       "[10683 rows x 15 columns]"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "e179bbd7",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Air India</td>\n",
       "      <td>31945</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → BLR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GoAir</td>\n",
       "      <td>22794</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → BOM → COK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>22153</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → BOM → DEL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>54826</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → BOM → DEL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Jet Airways Business</td>\n",
       "      <td>79512</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → BOM → DEL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Multiple carriers</td>\n",
       "      <td>36983</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → BOM → COK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Multiple carriers Premium economy</td>\n",
       "      <td>14629</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → BOM → COK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>SpiceJet</td>\n",
       "      <td>23267</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → PNQ → DEL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Trujet</td>\n",
       "      <td>4140</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>BOM → NDC → HYD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Vistara</td>\n",
       "      <td>21730</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Vistara Premium economy</td>\n",
       "      <td>11793</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              Airline  Price    Source Destination  \\\n",
       "0                            Air Asia  13774     Delhi      Cochin   \n",
       "1                           Air India  31945   Kolkata    Banglore   \n",
       "2                               GoAir  22794     Delhi      Cochin   \n",
       "3                              IndiGo  22153  Banglore   New Delhi   \n",
       "4                         Jet Airways  54826  Banglore   New Delhi   \n",
       "7                Jet Airways Business  79512  Banglore   New Delhi   \n",
       "8                   Multiple carriers  36983     Delhi      Cochin   \n",
       "9   Multiple carriers Premium economy  14629     Delhi      Cochin   \n",
       "11                           SpiceJet  23267  Banglore   New Delhi   \n",
       "12                             Trujet   4140    Mumbai   Hyderabad   \n",
       "13                            Vistara  21730  Banglore   New Delhi   \n",
       "15            Vistara Premium economy  11793  Banglore   New Delhi   \n",
       "\n",
       "              Route  \n",
       "0   DEL → BLR → COK  \n",
       "1         CCU → BLR  \n",
       "2   DEL → BOM → COK  \n",
       "3   BLR → BOM → DEL  \n",
       "4   BLR → BOM → DEL  \n",
       "7   BLR → BOM → DEL  \n",
       "8   DEL → BOM → COK  \n",
       "9   DEL → BOM → COK  \n",
       "11  BLR → PNQ → DEL  \n",
       "12  BOM → NDC → HYD  \n",
       "13        BLR → DEL  \n",
       "15        BLR → DEL  "
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get source destination for every airline with maximum price\n",
    "airlines=df.groupby('Airline')\n",
    "df_mp=pd.DataFrame(airlines[\"Price\"].max())\n",
    "df_mp\n",
    "df1=df[[\"Airline\",\"Source\",\"Destination\",\"Route\",\"Price\"]]\n",
    "df2=pd.merge(df_mp,df1,left_on=[\"Airline\",\"Price\"],right_on=[\"Airline\",\"Price\"])\n",
    "df2.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "2e9e385d",
   "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>index</th>\n",
       "      <th>Airline</th>\n",
       "      <th>minutes</th>\n",
       "      <th>Source</th>\n",
       "      <th>Destination</th>\n",
       "      <th>Route</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Air Asia</td>\n",
       "      <td>955</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → DEL → BLR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>11</td>\n",
       "      <td>Air India</td>\n",
       "      <td>2480</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → GAU → DEL → BLR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>12</td>\n",
       "      <td>GoAir</td>\n",
       "      <td>555</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → BOM → BLR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>13</td>\n",
       "      <td>IndiGo</td>\n",
       "      <td>985</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → HYD → MAA → COK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>14</td>\n",
       "      <td>IndiGo</td>\n",
       "      <td>985</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → BOM → COK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>20</td>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>2860</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → AMD → BOM → COK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>21</td>\n",
       "      <td>Jet Airways Business</td>\n",
       "      <td>500</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → ATQ → BOM → COK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>23</td>\n",
       "      <td>Multiple carriers</td>\n",
       "      <td>935</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → BOM → COK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>26</td>\n",
       "      <td>Multiple carriers Premium economy</td>\n",
       "      <td>900</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → BOM → COK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>27</td>\n",
       "      <td>SpiceJet</td>\n",
       "      <td>520</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → PNQ → BLR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>35</td>\n",
       "      <td>Trujet</td>\n",
       "      <td>195</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>BOM → NDC → HYD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>36</td>\n",
       "      <td>Vistara</td>\n",
       "      <td>1750</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → DEL → BLR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>37</td>\n",
       "      <td>Vistara Premium economy</td>\n",
       "      <td>170</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    index                            Airline  minutes    Source Destination  \\\n",
       "0       0                           Air Asia      955   Kolkata    Banglore   \n",
       "1      11                          Air India     2480   Kolkata    Banglore   \n",
       "2      12                              GoAir      555   Kolkata    Banglore   \n",
       "3      13                             IndiGo      985     Delhi      Cochin   \n",
       "4      14                             IndiGo      985     Delhi      Cochin   \n",
       "5      20                        Jet Airways     2860     Delhi      Cochin   \n",
       "6      21               Jet Airways Business      500     Delhi      Cochin   \n",
       "7      23                  Multiple carriers      935     Delhi      Cochin   \n",
       "8      26  Multiple carriers Premium economy      900     Delhi      Cochin   \n",
       "9      27                           SpiceJet      520   Kolkata    Banglore   \n",
       "10     35                             Trujet      195    Mumbai   Hyderabad   \n",
       "11     36                            Vistara     1750   Kolkata    Banglore   \n",
       "12     37            Vistara Premium economy      170  Banglore       Delhi   \n",
       "\n",
       "                    Route  \n",
       "0         CCU → DEL → BLR  \n",
       "1   CCU → GAU → DEL → BLR  \n",
       "2         CCU → BOM → BLR  \n",
       "3   DEL → HYD → MAA → COK  \n",
       "4         DEL → BOM → COK  \n",
       "5   DEL → AMD → BOM → COK  \n",
       "6   DEL → ATQ → BOM → COK  \n",
       "7         DEL → BOM → COK  \n",
       "8         DEL → BOM → COK  \n",
       "9         CCU → PNQ → BLR  \n",
       "10        BOM → NDC → HYD  \n",
       "11        CCU → DEL → BLR  \n",
       "12              BLR → DEL  "
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "airlines=df.groupby('Airline')\n",
    "df_mp=pd.DataFrame(airlines[\"minutes\"].max())\n",
    "df_mp\n",
    "df1=df[[\"Airline\",\"Source\",\"Destination\",\"Route\",\"minutes\"]]\n",
    "df2=pd.merge(df_mp,df1,left_on=[\"Airline\",\"minutes\"],right_on=[\"Airline\",\"minutes\"])\n",
    "df2.drop_duplicates().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "2b69f1c5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Source\n",
       "Delhi       4537\n",
       "Kolkata     2871\n",
       "Banglore    2197\n",
       "Mumbai       697\n",
       "Chennai      381\n",
       "dtype: int64"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.value_counts(\"Source\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "3aa3017f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Destination\n",
       "Cochin       4537\n",
       "Banglore     2871\n",
       "Delhi        1265\n",
       "New Delhi     932\n",
       "Hyderabad     697\n",
       "Kolkata       381\n",
       "dtype: int64"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.value_counts(\"Destination\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "a3e08000",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enter the sourceBanglore\n",
      "Enter the destinationNew Delhi\n",
      "Enter the Month of travel3\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Airline</th>\n",
       "      <th>Source</th>\n",
       "      <th>Destination</th>\n",
       "      <th>Route</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Total_Stops</th>\n",
       "      <th>Price</th>\n",
       "      <th>Additional_Info</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9739</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → BOM → DEL</td>\n",
       "      <td>15h 30m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>13817</td>\n",
       "      <td>No info</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7713</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → BOM → DEL</td>\n",
       "      <td>11h 25m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>26890</td>\n",
       "      <td>No info</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7167</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → BOM → DEL</td>\n",
       "      <td>17h 35m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>13502</td>\n",
       "      <td>In-flight meal not included</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1887</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>2h 55m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>14306</td>\n",
       "      <td>No info</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>826</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → BOM → DEL</td>\n",
       "      <td>10h 25m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>26890</td>\n",
       "      <td>No info</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6588</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → BOM → DEL</td>\n",
       "      <td>8h 50m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>26890</td>\n",
       "      <td>No info</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>575</th>\n",
       "      <td>Air India</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>2h 45m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>4966</td>\n",
       "      <td>No info</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2150</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → BOM → DEL</td>\n",
       "      <td>24h 15m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>17996</td>\n",
       "      <td>No info</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → MAA → DEL</td>\n",
       "      <td>4h 40m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>12295</td>\n",
       "      <td>No info</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1956</th>\n",
       "      <td>Air India</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → HYD → VGA → DEL</td>\n",
       "      <td>29h 55m</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>14887</td>\n",
       "      <td>No info</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9930</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → BOM → DEL</td>\n",
       "      <td>7h 50m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>21934</td>\n",
       "      <td>No info</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1906</th>\n",
       "      <td>GoAir</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → GOI → DEL</td>\n",
       "      <td>4h 30m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>12314</td>\n",
       "      <td>No info</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5771</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → BOM → DEL</td>\n",
       "      <td>5h 15m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>12284</td>\n",
       "      <td>No info</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9549</th>\n",
       "      <td>Vistara</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>2h 40m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>9918</td>\n",
       "      <td>No info</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8890</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → BOM → DEL</td>\n",
       "      <td>11h 25m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>7832</td>\n",
       "      <td>In-flight meal not included</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Airline    Source Destination                  Route Duration  \\\n",
       "9739  Jet Airways  Banglore   New Delhi        BLR → BOM → DEL  15h 30m   \n",
       "7713  Jet Airways  Banglore   New Delhi        BLR → BOM → DEL  11h 25m   \n",
       "7167  Jet Airways  Banglore   New Delhi        BLR → BOM → DEL  17h 35m   \n",
       "1887       IndiGo  Banglore   New Delhi              BLR → DEL   2h 55m   \n",
       "826   Jet Airways  Banglore   New Delhi        BLR → BOM → DEL  10h 25m   \n",
       "6588  Jet Airways  Banglore   New Delhi        BLR → BOM → DEL   8h 50m   \n",
       "575     Air India  Banglore   New Delhi              BLR → DEL   2h 45m   \n",
       "2150  Jet Airways  Banglore   New Delhi        BLR → BOM → DEL  24h 15m   \n",
       "2004  Jet Airways  Banglore   New Delhi        BLR → MAA → DEL   4h 40m   \n",
       "1956    Air India  Banglore   New Delhi  BLR → HYD → VGA → DEL  29h 55m   \n",
       "9930  Jet Airways  Banglore   New Delhi        BLR → BOM → DEL   7h 50m   \n",
       "1906        GoAir  Banglore   New Delhi        BLR → GOI → DEL   4h 30m   \n",
       "5771  Jet Airways  Banglore   New Delhi        BLR → BOM → DEL   5h 15m   \n",
       "9549      Vistara  Banglore   New Delhi              BLR → DEL   2h 40m   \n",
       "8890  Jet Airways  Banglore   New Delhi        BLR → BOM → DEL  11h 25m   \n",
       "\n",
       "     Total_Stops  Price              Additional_Info  \n",
       "9739      1 stop  13817                      No info  \n",
       "7713      1 stop  26890                      No info  \n",
       "7167      1 stop  13502  In-flight meal not included  \n",
       "1887    non-stop  14306                      No info  \n",
       "826       1 stop  26890                      No info  \n",
       "6588      1 stop  26890                      No info  \n",
       "575     non-stop   4966                      No info  \n",
       "2150      1 stop  17996                      No info  \n",
       "2004      1 stop  12295                      No info  \n",
       "1956     2 stops  14887                      No info  \n",
       "9930      1 stop  21934                      No info  \n",
       "1906      1 stop  12314                      No info  \n",
       "5771      1 stop  12284                      No info  \n",
       "9549    non-stop   9918                      No info  \n",
       "8890      1 stop   7832  In-flight meal not included  "
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s=input(\"Enter the source\")\n",
    "d=input(\"Enter the destination\")\n",
    "m=int(input(\"Enter the Month of travel\"))\n",
    "f=np.where((df[\"Source\"]==s) & (df[\"Destination\"]==d) &(df[\"month\"]==m))\n",
    "df1=df.loc[f]\n",
    "df1\n",
    "df1[[\"Airline\",\"Source\",\"Destination\",\"Route\",\"Duration\",\"Total_Stops\",\"Price\",\"Additional_Info\"]].drop_duplicates().sample(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "c1937348",
   "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>Airline</th>\n",
       "      <th>Source</th>\n",
       "      <th>Destination</th>\n",
       "      <th>Route</th>\n",
       "      <th>Dep_Time</th>\n",
       "      <th>Arrival_Time</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Total_Stops</th>\n",
       "      <th>Additional_Info</th>\n",
       "      <th>Price</th>\n",
       "      <th>Date</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>minutes</th>\n",
       "      <th>dep_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>22:20</td>\n",
       "      <td>01:10 22 Mar</td>\n",
       "      <td>2h 50m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>3897</td>\n",
       "      <td>2019-03-24</td>\n",
       "      <td>3</td>\n",
       "      <td>24</td>\n",
       "      <td>170</td>\n",
       "      <td>22:20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Air India</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → IXR → BBI → BLR</td>\n",
       "      <td>05:50</td>\n",
       "      <td>13:15</td>\n",
       "      <td>7h 25m</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>7662</td>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>445</td>\n",
       "      <td>05:50:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → LKO → BOM → COK</td>\n",
       "      <td>09:25</td>\n",
       "      <td>04:25 10 Jun</td>\n",
       "      <td>19h</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>13882</td>\n",
       "      <td>2019-06-09</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>1140</td>\n",
       "      <td>09:25:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → NAG → BLR</td>\n",
       "      <td>18:05</td>\n",
       "      <td>23:30</td>\n",
       "      <td>5h 25m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>6218</td>\n",
       "      <td>2019-05-12</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>325</td>\n",
       "      <td>18:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>IndiGo</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → NAG → DEL</td>\n",
       "      <td>16:50</td>\n",
       "      <td>21:35</td>\n",
       "      <td>4h 45m</td>\n",
       "      <td>1 stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>13302</td>\n",
       "      <td>2019-03-01</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>285</td>\n",
       "      <td>16:50:00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10678</th>\n",
       "      <td>Air Asia</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → BLR</td>\n",
       "      <td>19:55</td>\n",
       "      <td>22:25</td>\n",
       "      <td>2h 30m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>4107</td>\n",
       "      <td>2019-04-09</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>150</td>\n",
       "      <td>19:55:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10679</th>\n",
       "      <td>Air India</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>CCU → BLR</td>\n",
       "      <td>20:45</td>\n",
       "      <td>23:20</td>\n",
       "      <td>2h 35m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>4145</td>\n",
       "      <td>2019-04-27</td>\n",
       "      <td>4</td>\n",
       "      <td>27</td>\n",
       "      <td>155</td>\n",
       "      <td>20:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10680</th>\n",
       "      <td>Jet Airways</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>08:20</td>\n",
       "      <td>11:20</td>\n",
       "      <td>3h</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>7229</td>\n",
       "      <td>2019-04-27</td>\n",
       "      <td>4</td>\n",
       "      <td>27</td>\n",
       "      <td>180</td>\n",
       "      <td>08:20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10681</th>\n",
       "      <td>Vistara</td>\n",
       "      <td>Banglore</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>BLR → DEL</td>\n",
       "      <td>11:30</td>\n",
       "      <td>14:10</td>\n",
       "      <td>2h 40m</td>\n",
       "      <td>non-stop</td>\n",
       "      <td>No info</td>\n",
       "      <td>12648</td>\n",
       "      <td>2019-03-01</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>160</td>\n",
       "      <td>11:30:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10682</th>\n",
       "      <td>Air India</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Cochin</td>\n",
       "      <td>DEL → GOI → BOM → COK</td>\n",
       "      <td>10:55</td>\n",
       "      <td>19:15</td>\n",
       "      <td>8h 20m</td>\n",
       "      <td>2 stops</td>\n",
       "      <td>No info</td>\n",
       "      <td>11753</td>\n",
       "      <td>2019-05-09</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>500</td>\n",
       "      <td>10:55:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10683 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Airline    Source Destination                  Route Dep_Time  \\\n",
       "0           IndiGo  Banglore   New Delhi              BLR → DEL    22:20   \n",
       "1        Air India   Kolkata    Banglore  CCU → IXR → BBI → BLR    05:50   \n",
       "2      Jet Airways     Delhi      Cochin  DEL → LKO → BOM → COK    09:25   \n",
       "3           IndiGo   Kolkata    Banglore        CCU → NAG → BLR    18:05   \n",
       "4           IndiGo  Banglore   New Delhi        BLR → NAG → DEL    16:50   \n",
       "...            ...       ...         ...                    ...      ...   \n",
       "10678     Air Asia   Kolkata    Banglore              CCU → BLR    19:55   \n",
       "10679    Air India   Kolkata    Banglore              CCU → BLR    20:45   \n",
       "10680  Jet Airways  Banglore       Delhi              BLR → DEL    08:20   \n",
       "10681      Vistara  Banglore   New Delhi              BLR → DEL    11:30   \n",
       "10682    Air India     Delhi      Cochin  DEL → GOI → BOM → COK    10:55   \n",
       "\n",
       "       Arrival_Time Duration Total_Stops Additional_Info  Price       Date  \\\n",
       "0      01:10 22 Mar   2h 50m    non-stop         No info   3897 2019-03-24   \n",
       "1             13:15   7h 25m     2 stops         No info   7662 2019-05-01   \n",
       "2      04:25 10 Jun      19h     2 stops         No info  13882 2019-06-09   \n",
       "3             23:30   5h 25m      1 stop         No info   6218 2019-05-12   \n",
       "4             21:35   4h 45m      1 stop         No info  13302 2019-03-01   \n",
       "...             ...      ...         ...             ...    ...        ...   \n",
       "10678         22:25   2h 30m    non-stop         No info   4107 2019-04-09   \n",
       "10679         23:20   2h 35m    non-stop         No info   4145 2019-04-27   \n",
       "10680         11:20       3h    non-stop         No info   7229 2019-04-27   \n",
       "10681         14:10   2h 40m    non-stop         No info  12648 2019-03-01   \n",
       "10682         19:15   8h 20m     2 stops         No info  11753 2019-05-09   \n",
       "\n",
       "       month  day  minutes  dep_time  \n",
       "0          3   24      170  22:20:00  \n",
       "1          5    1      445  05:50:00  \n",
       "2          6    9     1140  09:25:00  \n",
       "3          5   12      325  18:05:00  \n",
       "4          3    1      285  16:50:00  \n",
       "...      ...  ...      ...       ...  \n",
       "10678      4    9      150  19:55:00  \n",
       "10679      4   27      155  20:45:00  \n",
       "10680      4   27      180  08:20:00  \n",
       "10681      3    1      160  11:30:00  \n",
       "10682      5    9      500  10:55:00  \n",
       "\n",
       "[10683 rows x 15 columns]"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "07314790",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x270c1118820>"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "id": "8692a6ae",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\91829\\AppData\\Local\\Temp/ipykernel_5564/3531356715.py:3: FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.\n",
      "  df3=pd.DataFrame(df2[\"Airline\",\"Price\"].mean()).reset_index().round()\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='month', ylabel='Airline'>"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1=df[[\"Airline\",\"month\",\"Price\"]]\n",
    "df2=df1.groupby([\"Airline\",\"month\"])\n",
    "df3=pd.DataFrame(df2[\"Airline\",\"Price\"].mean()).reset_index().round()\n",
    "df4=df3.pivot(\"Airline\",\"month\",\"Price\")\n",
    "df4\n",
    "sns.heatmap(df4,cmap=\"BuGn\",annot=True, fmt='.1f')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "id": "b9731e2d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Total_Stops\n",
       "1 stop      5625\n",
       "non-stop    3491\n",
       "2 stops     1520\n",
       "3 stops       45\n",
       "4 stops        1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.value_counts(\"Total_Stops\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "id": "11ee63ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x270c4948ca0>"
      ]
     },
     "execution_count": 191,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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PATZ7KLCvWdtMmy3U9rql3a6NlNIClAC+LQchhJgshEgUQiTm5eUdkwvTaDQaTcfS0U4SI6SUB4QQAcACIcSuQxzb1sxHHsJ+qDb2Bik/BD4E5cV36CFrNBqNpjPQoTMoKeUB23Mu8AswGMixLdthe861HZ4JNC8XGwYcsNnD2rDbtRFCmABPoLAjrkWj0Wg0x5cOEyghhKsQwr3hNXA2sA2YBUyyHTYJ+M32ehYw0eaZF4VyhlhrWwYsE0IMte0vXd+iTUNf44HF8lQL7NJoNJp/KR25xBcI/GLzWTABX0sp5woh1gHfCyFuBjKACQBSyu1CiO+BHYAFuEtKWW/r6w7gc8AZmGN7AHwCzBRC7EHNnCZ24PVoNBqN5jiiM0loNBrN0aO9hzsAnYtPo9FoNJ0SLVAajUaj6ZRogdJoNJoTgBDC15YGbpMQIlsIsb/Ze8cWx94vhHBpR59LhBADD/H5Tba0cVuEENuEEBfb7DcIIUIO1u5EoZPFajQazQlASlkAJAAIIaYB5VLK/xzk8PuBL4HKIz2fECIMeALoL6UsEUK4Af62j29AeVkfZrXUjkXPoP4tFO+D9V/Az7fBhpnqvUajOakQQowVQmy0zXI+tYXd3AuEAH8JIf6yHfeeLTvOdiHEM+3sPgAoA8oBpJTlUspUIcR4YCDwlW325tzWOGznTRNCvCKEWGt7xNjsE2wzss1CiKXH6vvQAvVvoKoYZj8Ev98DW76FWXfDnClQXXqiR6bRaNqPGRVOc6WUsjdqhesOKeVbqJnNGCnlGNuxT9gScPcBThdC9GlH/5uBHCBVCPGZEOJCACnlj0AicI2UMgGVjafVOJr1UyqlHAy8A7xhs00FzpFS9gUuOoJrbxMtUP8GCpIhaa69bfcfyq7RaE4WjECqlDLJ9n4GcNpBjr1CCLEB2IiqABH3T53b4krHoZIaJAHTbUuLLen+D+P4ptnzMNvrFcDnQohbbddxTNAC9W/AWn94do1G0xmpaM9Btkw7DwFjpZR9gD9Rs69/RCrWSilfQiU2uLytU/xTNy1fSylvB55EpZ7bJIRolbT7SNAC9W/ANwZC+tvbQgeBb/SJGY9GozkSzEBkw74OcB3wt+11GeBue+2BErMSIUQgcG57OhdChAghmt8oEoD0NvrfdYhxAFzZ7HmVre9oKeUaKeVUIB/7vKpHjPbi+zfg6geXfQRbvoM9CyD2bOh9Jbgckx8xGo3m+FAN3Aj8YEt+vQ543/bZh8AcIUSWlHKMEGIjsB1IQS2vtQcH4D82d/JqIA+43fbZ58D7Qogq1LLdwcYB4CSEWIOa4Fxls70mhIhFzb4Wofa7jhqd6ujfRl01OLRrtq/RaI4dp0SqIyFEGjBQSpl/PM6nl/j+bWhx0mg0/xL0Ep9Go9H8y7AtwTm1MF8npdx6NP1KKSOPpv3hogVKo9Fo/mVIKYec6DEcC/QSn0aj0Wg6JVqgNBqNRtMp0QKl0Wg0mk6JFiiNRqPRHDZCiNFCiOEdeQ4tUBqNRqM5EkYDHSpQ7fLiE0J0A94DAqWUvWyZcy+SUj7fkYPTaDSafyuRU/68GngR6AJkAI+nvXz+10fTpxAiEpgDLEeJx37gYlQC2PcBF2AvcJOUskgIsQRYA4wBvICbpZTL2uj3XlTWCQuwA5hie18vhLgWuMd2DZ+iakzlATdKKTOEEJ+jMlfEA4HAg1LKP9pzPe2dQX0EPAbUAUgpt6ASDWo0Go3mMLGJ00dABCoLRQTwkc1+tMQC/5NSxgPFqISwXwCP2pLLbgWebna8yVY+4/4W9uZMAfrZ2t8upUxDCd50KWWCTdTeAb6wHfMV8Faz9pHA6cD5qJRK7coo0F6BcpFSrm1hs7SzrUaj0WjseRE1m2mOi81+tKRKKTfZXq8HogEvKWVDwteW5TN+bnZs5EH63IIqaHgtB7/3DwMaZoAzgZHNPvteSmmVUiaj8gf2aM+FtFeg8oUQ0dhSq9sqMGa1s61Go9Fo7OlymPbDoabZ63rU0l17jq/Htu1jK2i4SQgx2/bZ+cD/gAHAelsS2X+iVVmOQ7xvk/YK1F3AB0APIcR+1FTwjkO20Gg0Gs3ByDhM+9FQAhQJIUbZ3rcsn9EKKeWNtqW784QQBiBcSvkX8AhK8NywL9EBsJKmrZ9rUPtgDUwQQhhsE52uwO72DLxdThJSyhTgTCGEK2CQUpa1p51Go9Fo2uRx1B5U82W+Spu9I5iE2vtxQS2x3XgYbY3Al0IIT9R+2XQpZbEQ4nfgRyHExSgniXuBT4UQD2NzkmjWx26UKAai9rCq23PidpXbEEK8CLwqpSy2vfcG/k9K+WQ7L7DT8K8vt6HRaE4Eh11uoyO8+DojNi++P6SUPx5223YK1EYpZb8Wtg1Syv4Ha9NZ0QKl0Wg6gFOiHtSRcDQC1d49KKMQojF1uxDCmdap3A82OKMQYqMQ4g/bex8hxAIhRLLt2bvZsY8JIfYIIXYLIc5pZh8ghNhq++wtIYSw2Z2EEN/Z7GtsMQAajUaj6SRIKW84EnGC9gvUl8AiIcTNQoibgAUoV8X2cB+ws9n7KcAiKWUsqjTwFAAhRBxqgy0eGAe8K4Qw2tq8B0xG+ffH2j4HuBkoklLGANOBV9o5Jo1Go9F0ctolUFLKV4EXgJ4oAXnOZjskQogwlHvix83MF9MkbjOAS5rZv5VS1kgpU4E9wGAhRDDgIaVcJdV65Bct2jT09SMwtmF2pdFoNJqTm3YXLJRSzkGl0Dgc3kC5JTZ3RQyUUmbZ+swSQgTY7KHA6mbHZdpsdbbXLe0NbfbZ+rIIIUoAXyC/+SCEEJNRMzC6dDkWYQYajUaj6WgOOYMSQiy3PZcJIUqbPcqEEKX/0PYCIFdKub6dY2lr5iMPYT9UG3uDlB9KKQdKKQf6+/u3czgajUajOZEccgYlpRxpe3Y/1HEHYQRwkRDiPMAMeAghvgRyhBDBttlTMJBrOz4TCG/WPgw4YLOHtWFv3ibTFtnsCRQewVg1Go3mpEYIEY7aAgkCrMCHUso329k2AQiRUs7+p2OPJ/+4B2WL/t12uB1LKR+TUoZJKSNRzg+LpZTXArNQQWPYnn+zvZ4FTLR55kWhnCHW2pYDy4QQQ237S9e3aNPQ13jbOdqVQkOj0Wj+ZVhQ8ak9gaHAXTbns/aQAJzXUQM7Uv5xD0pKaRVCbBZCdJFSHos0HC8D3wshbkYFp02wnWe7EOJ7VCp3C3CXlLLe1uYO4HPAGbUP1rAX9gkwUwixBzVz0hnWNRrNycE0z1aBukwrOeJAXduP+Yb9/TIhxE7UPv2O5scJISagspbXo9IgnQk8CzgLIUYCL6E8tT9FpSWqBCZLKbcIIaahks+GolavXpVSfmRbDfsO8EDpyh1tle04XNobqLsYGASsBSoa7FLKi452AMcbHair0Wg6gMPzHlbi1Faqo1uPRqQaB6NiQpcCvaSUpS0+2wqMk1LuF0J42dIW3QAMlFLebTvmbSBfSvmMEOIM4HUpZYJNoC5FzdBcgY3AEOAqwCylfMEWHuRyLFLitdeL75mjPZFGo9FoGjlUuY2jLVroBvwE3N9SnGysAD63rVj93MbnoEplXA4gpVwshPC15eID+E1KWQVUCSH+AgYD61B5+ByAX5uV+zgqDilQtqJStwMxqCJXn0gpdR0ojUajOTo6pNyGTSB+Ar6SUrYpPlLK24UQQ1AxqptsDhKtumqraYvnZl3KpUKI02x9zhRCvCal/OKILqIZ/+QkMQMYiBKnc4H/Hu0JNYdHTkUOizMW83PSz2zI2UC1pV1JgDUaTefmmJfbsDmRfQLslFK+fojjoqWUa6SUU1Exo+G0Lp2xFFUyAyHEaNRyX8Ns7GIhhFkI4QuMBtYJISJQYUUf2cZwTPK0/tMSX5yUsrdtkJ+g9qA0x4n8qnyeWP4Ea7LXNNpeGPkCF0WfdFt/Go3Gno4otzECVetpqxBiU8N52nAdf00IEYuaJS0CNqOEcYqt3UvANOAzIcQW27gmNWu/FvgTNdt7Tkp5QAgxCXhYCFEHlKO8rY+afxKouoYXtkwNx+KcmjawWC3U1tfi4tD097q7cLedOAG8uu5VBgcNxsPRA0ejIyZDu5OBaDSazsK0kq+Z5gnH1otvOe1w1pBSXtaGuRDlCNeciw/SRZKUcnKLPmfQ/vys7eaf7m59m2WMECg3xFLbayml9DjWAzoV2Zy3mZnbZ5JWmsb4buMZ22Us/i7+lNeWtzp2dNhoFqQv4Nc9vxLlGcWkuEn09u99Akat0WiOCiVG/7r6T8eSf8okYTzU55qjJ6koiVvm3UJ1vdpbemHNC5TUlDC5z2SivKJwMDhQZ1UT2S7uXXB3dOfVda82tl2auZSvz/uaGO+YE3YNGo3m1EBKOe14nq+95TY0HURSYVKjODXw2fbPyKnMIdYrlvfPfJ8e3j1wMjpxS+9b+Cn5J7tjqyxVJBUlHc8hazQazXFBb2CcYBwMDq1sZqMZo8FIWW0ZAS4BvHXGWwghQIKT0YkqS9U/9qHRaDQnO3oGdYLp4duDAOcAO9uDAx4ktyKXW+bdwoW/XsjkBZPJLM8kyC2I+/rfZ3dsoEsg3X26H88hazQazXGhXamO/k10xlRHe4v3smL/CjLLMxkVOoqunl25Yd4NZFdkNx7j5uDGdxd8h4/Zh425G1m2fxnh7uEMDxlOtFf0kZ24NEs9ewQfg6vQaE5ptItzB6CX+DoB0V7RdiKzOXeznTgBlNeVk1mWSRePLowKG8WosFFHfsKKfNj0NSx/HYSAkQ9CwjXg4nPIZvXWeowG7Tej0XRWhBCfAg21+HodRrsETsZyG5rjj7uje5v7Sl5OXsfmBEnzYMFTUFUElYUw/0lInn/Qw9NL0/lg8wdMmjuJj7Z8REbpsUhqr9FoOoDPgXFH0C6Bk7Hchub4E+ERwUMDH+KltS812m7pfQtRXlHH5gRbv2/D9iP0bV2tpLi6mCeWP8HmvM2Aitlavn85b455Ey+z17EZj0ZzCtJ7Ru9W5Ta2Ttp6VHFRtpx4kYc6piPKbRzNmA+FFqhOiNFg5NLYS4n3jWd/+X4CXQLp5tMNZ5PzsTmBZ3gbtrDWNiCtNK1RnBrYkLuB9NJ0LVAazRFiE6fmqY4igI96z+jN0YpUO5gKnNOs3EatEGIqrcttbJRSXmIrt/EFapYF0Idm5TaEEH9KKQ+0Ps3Ro5f4OinOJmf6BvTlvK7nMSBoAO6O7v/cqL3EXwpmz6b3Zi+Iazu/n0G0/SdyMLtGo2kXhyq30dE0lNu4FTjYpvJIYCaochtAq3IbUsp8oKHcRoegZ1CnImGDYPxnkLUJEBDcV9naIMIjguEhw1l5YGWjbVToKCI8Io7PWDWafycdUm6jPXREuY1jODw7tECdipg9IGZskyiZD55S0dPJk6lDp7J8/3LWZK1hSMgQRoaOxMNJp2HUaI6CDNSyXlv2DqWh3AawRghxIYcut/Fc83IbtoThFwshXkIt8Y0GpnTUWLVAncocQpiaE+oeypU9ruTKHld28IA0mlOGjii3gRDiG5Ro+AkhMoGnpZSftDjsmJfbOJoxH/J6dKCuRqPRHDWHHajbEV58HY3Ni69cSvmf43E+PYM6xmQUVLA7pwwhBD2C3AnzbrkP2nmQUpJbmYvJYMLX2ReAOmsd+VX5OJuc7eKu8ivzqZf1BLoGHrS/0ppSKuoq8HX25UC5+lEV6RnZkZdw4qmrBmEAk+OJHonmJMMmRp1akE40WqCOIbuySrnuk7XkldcAEOZl5vObBhMTcAw98I4RuZW5/JD0AzN3zMTNwY0HBjxAnG8cM3fMZNbeWQS7BvPo4EeJ941nccZi3t74NnXWOm7pfQsXRV/UKGighC4xJ5FX1r5Cakkqo8NHE+8bz4ztM7gu/jrOizqPELeQE3i1HUBNGexdDCvfAQcXGHkfdBkBDk4nemQaTYdxvMttaIE6hvy0YX+jOAFkFlczb3tOpxSoOalzeH/z+wBU1FXwxY4viPGKYdbeWYCKf7pn8T28NPIlpq2a1tju9fWv42P24eKYpmKbe4v3cvuC26m11gIwP30+RTVF9PTtyZsb3sTH7MNlsW0V8TyJSfkLvm9W1Tp1CdzwJ0SOPGFD0mj+behglmOE1SrZtK+olX3r/pITMJpDU1pbyo9JP9rZhgUPY3aKfRquCI8Iluxb0qr9D0k/UFdf1/g+tSS1UZwaWJe9jl5+KhXYgrQFx2bgnYX6Wlj1Xmv7jlnHfywazb8YLVDHCINBcGm/0Fb2cfFBJ2A0h8bJ6ESYu33miKKaIvxc/OxsxdXFbS7NRXlE2SWNbSuI2N3BvbFuVah76+/l5MbQtgekU+ebKWs0JzNaoI4hZ/QI4KYRkZgMAkejgTtHRzMixvefGx5nnIxO3Nr7VruEtJtyNvHQwIcQzZyRQtxCGBM+Bm8n70abs8mZK3tcaZdJItY7llGh9tnVr4m7hrlpc/Fw9GBc5JHkruzEGE0w7C7lHNGAyQw9zj9xY9Jo/oVoN/NjTF29lcyiKgQQ5u2Mydg5fwNIKdldtJukoiScjE709OlJsGswOwt3klKcgoeTB3E+cQS5BZFWksaOwh1YrVa6+3Qn1ju2VX+5lbnsLNhJQXUB/s7+lNeWU15XTnef7vTx73MCrrCDqa+DzETYPQccnKHbORDST5Uv0ZyKnPB/eCGEGRVg64TyL/hRSvl0O9sm0AnLbXSYQB3syxJC+ADfAZFAGnCFlLLI1uYx4GZUlt17pZTzbPYBqDTyzsBs4D4ppRRCOKGSGA4ACoArpZRphxqXjoPSaDQdQGcQKAG4SinLhRAOwHLUvXJ1O9reQLNksZ2Fjvx5XwOcIaXsi8qCO04IMRSVFmORlDIWFcU8BUAIEQdMBOJR9UzeFUI0bHS8B0wGYm2PhjWjm4EiKWUMMB14pQOvR6PRaI4ZO3v0vHpnj55pO3v0tNqerz6a/qSi3PbWwfZoNQMRQkwQQmwTQmwWQiwVQjiiym1cKYTYJIS4UgjhI4T4VQixRQixWgjRx9Z2mhBiphBisRAi2ZZwFiFEsK2vTba+j6KiahMd5mYu1dSsrS/rYlQqDoAZwBLgUZv9WyllDZAqhNgDDBZCpAEeUspVAEKIL4BLgDm2NtNsff0IvCOEEPJUW7c8TiQVJjE/fT57i/cyLmocQ4KG6JIbGs0RYBOjVuU2dvboSc9dO484eNf2o349EAP8z5ZzryXHvNwGcBUwT0r5gm0MxyRDQYdukAghjLbcTrnAAtuXFSilzAKwPQfYDg8F9jVrnmmzhdpet7TbtZFSWlDFt1p5JQghJgshEoUQiXl5ecfo6k4t0krSuGX+LXyw5QMWZizkob8faoyZ0mg0h02HlNuQUtZLKROAMNQP/LbKvndEuY11wI22VEi9pZRlR3MdDXSoQLXzy2rgYOndD5X2/VCfNR/Hh1LKgVLKgf7+/v8wak1b7C7aTVGNfZzXe5vfI6ci5wSNSKM5qenQchtSymLU6lQrF1op5e3Ak6gs5puEEG25Gh9WuQ0p5VLgNGA/MFMIcT3HgOPiYtbiy8oRQgSDWrdEza5AzYyal3oNAw7Y7GFt2O3aCCFMgCdQ2BHXcKpjldZWtnpZj+y4UjAazb+Zg5XVOOJyG0IIfyGEl+21M6qU+642jouWUq6RUk4F8jl0uQ2al9uwfXaxEMJsE7bRwDohRASQayv//gnQ/0ivozkdJlCH+LJm0ZS6fRLwm+31LGCiEMJJCBGFcoZYa1sGLBNCDLV5qVzfok1DX+OBxXr/qWPo7t0dD0f74NTJfSYT6HLw5LEaRV5lHiv2r+CvjL/IKO3wcj+ak4PHUWUsmnO05TaCgb9sJTLWobZV/mjjuNeEEFuFENtQQrQZtVQX1+AkgdrbH2jr62XaLrexmqZyG6NRs7GNwOXAm0dxHY10pJt5H5QThBElhN9LKZ+1qe73NKWYnyClLLS1eQK4CbAA90sp59jsA2lyM58D3GNzMzej1kn7oWZOE6WUKYca18nkZi6lJLUklYzSDCzSQq21ll6+vejicfirAPvL95NbmYuPkw9dPLog2hmvk1ORQ3ppOlZpxcvJi1/3/IrJYKJfYD9cjC6EuIcQ4RFBvbWe9NJ08qrycDG54ObgRhePLhgNRspry0kvTccgDHRx74Kro+thj/9kZV/ZPh5a8hA7CncAqgDkh2d9SJxv3AkemeYYc9hu5jZHCbtyG0fjIHE8ON7lNnSgbifFYrWwMH0hU1dOpcpShaeTJ7f1uY0/9/7Jf0b/p1WqokOx+sBqHl76MMU1xTibnHlm+DOcFXEWJsOhnTi352/n213f8tve35BIunl149nhz/Lxto9ZmLEQgIGBA7m7393sKd7Dq2tfpdZai7+zPzf3uhlHoyODgwbzyrpXWLZ/GQBnRZzFQwMf+vdlNz8IPyf/zNMr7WMlz4s6jxdGvIDJqHM1/4s44XFQx4PjLVCdM82BhrSSNB5b9lhjPruSmhI+2vIR/QL7sbNgZ7v7ySrP4tFlj1JcUwxAlaWKx5c9TmpJ6iHbldeWk5iTyK97f23cZ8osz2TFgRWN4gSQmJPIygMreW/Te40JY/Oq8vh297ckFSm39AZxAliQvoAVB1a0e/ztpbC6kK15W0kpTsFitRzz/o+UlOLWE/odBTuorG+5uqPRdH6klNOOlziBFqhOS3ZFNhZpf6MtqinCxcGFSou6ue0v28+SfUtYlrmM7IrsNvvJr8qnsNreb8QiLQc9voHimuLGooMNRHhEsDV/a6tj12StIdor2s6WVppGT5+eduLUwPL9yw957sNld+Fubph7A1fPvprLf7+cmTtmUl5b/s8NjwMDAge0sp0XdV6r/TyNRtMavcbQiSitKSWtNA0pJWaTmXD3cM6LOg+rtGKVVhakL6Cuvo5w93DWZa/j8eWPMzJkJH7OfhRUFRDpEQkCQlxDyKvOo6K2AndHd14d9SpV9VW4mFyYlzaPzXmbcXNwY23WWqrrq/F28qarZ1eq66tJL03HyeREoHNgKwcId0d3evj2YEnmEjv7gMAB/Jnyp50txDWE1NJUBgUOYmPuRrvP+gccEwcfQNWy+nbXt4yLHEe9rKfKUsUHWz6gl18vBgUNsjvWKq2kl6aTX5VPgHPAYe3FHYy8qjz2le7DbDIT6RGJi4N9aEu/wH7cnXA3H275kDprHeMix3Fh9IVHdU6N5lRBC1QnIbMsk2dXPcuqrFUEuQZxV++7uKbnNbye+Dq11lpcHVyZOnQqBgz8lPQTjiZHrup+FT8l/0RGmfIMOyfiHIQQ7Cvbx/CQ4czYPoMpg6fwzqZ3KKwuxCiM3NTrJi6Kvoj1uev5fe/vpJSoJagXR77IR1s/alz6uyT6EiZ0n8DosNGNgjQseBgltSXE+8azvWA7ADFeMQwNHoqLyYX/bfofEomrgyvXxl3L/vL9DAocRDevbiQVJwEQ7xtPeW05W/K2HJMksvmV+TgaHflgywdYpRVfsy93J9xNVnmW3XH11noWpC/gyRVPUlNfg7PJmZdHvcyY8DFHLFLJRcnc/9f9jd//ld2v5I6+d+Br9mlMGuvl5MUtvW9hXNQ4LFYLoW6hmE3mo7tojeYUQTtJdBK+2vkVL699GYAE/wRu6HUD/7fk/6iX9Y3HeDh6MGXwFH7f+zt+zn5U1FWweN9iu37uTrib/236HxO6T8BBOLDywEpSS+33m6YOncq6nHXMSZ0DQA+fHnRx78L89Pl2x00fPZ1Q11CW7l+KxWoh3COcJ5Y/wQVdLyDcPRyJJKcih3Miz2GAfz92Zq9jb1Uebo5uZFdkMy99HrsLdvPWGW+xJX8LoLza/kj5g+7e3fnk7E/wNHtyNKzNWsvN82+2s8V4xTB16FT6BfZrtO0t3ssVv19hV1jRxeTCDxf+cERekTWWGp5Y8QTz0uY12i4IHslTASNx2fwd+ERB/+shtPUSn+ZfySnhJHG80TOoTkLzfZnk4mTKasrsxAlUJVyrtLKjcAePDHyE6Rumt+qnoLoANwc3dhTsYHzseL7a9VWrYxyNjnZ7SbFesazLWdfquO352xFC8M6mdwAYFTqKwUGD+SOlKbQiyCWIO/veibk8G5G5jmeSZ7TqJ7U0lfc221egbchMcbQClVfVOnXVnuI9rVzZcytzW1X9rbRUkl+Vf0QCVVpbypqspjRn3k7e3OMYhsuvdypD6t+w5Xu4eQEEHSqBikZzbLHlwksE9kspL2hnmwQ6YbkN7SRxjCmvsbBiTz5frk7nu3UZbM1sX8n3kaEjG19X1FXgbfbGKOzTZHk4emAURkpqSnAwOJDgn9CqHx+zD+V15fT06UlyUTJRHlGtjmmIp2oguTiZ3n69Wx3naHRkZ8FOnIxOACzbv4xefr2Y0G0CXT27Mi5yHC+NeokgtyCQEr+aStwd7KvKmoQJLyevVn138+pmVwgRVNzXvrJ9pBSnUG2pbv0lNSO7Ipu9xXvxd26duqqbVzcCnZv2z3Iqc3AxudgVaAQ1gzIZTGSUZtiVsM+uyCalOIWs8iz2FO8hvzK/1Tk8HD0YEjSk8f2lIaMI2fCl/UF1lXBgwyGvQ6PpAO4D2u/qq0gAzjv2Qzk6tEAdYzakF/LnlixenrOLNxcmszQ5jx37/1mkTg87nSHBTTe8NVlreGTQI403VReTC1MGT+GDLR8Q6xVLWmkaw0OG08W96df/2RFnk1KSQk/fnnibvfkh6Qeui7uuUQgMwqCyPzgH0sOnB1GeSrx2Fe5iTPgYOzE7o8sZZJRlMGvvLG7rcxtmo9o3+Xrn13Tz7kZf/74MDBxID58eqoFXF8KsBl7qeQPOJmcAHA2O3N73dpZlLuOqHlc1VuH1MfswofsENuVtot6qZomltaV8seMLLp91OZf8dglPLH+CfWXNcwcr6urrmJ82nwm/T+CS3y5hdups7uh7h13fk+InUVxbTL21nr/3/c2Vv1/Jo8se5e5+dzeKrbPJmdv63MZTK55iftp8Ptn6CTkVOcxPm8+kOZNYeWAlN8+/mUt/u5SrZ1/N2swVUFHQOA4nkxOT+04mzE3Fo1mlBNFG3k1xiv0XK82Ckkw4xbYOjoT/3b746v/dvjjtf7cvttqej6rcBoAQIgw4H/j4EMecNOU29B7UMaS8qo7pi5L5ZLn9ns+bExO4OCH0IK2aKKkpafTii/SIxMXkwvaC7eRW5RLoHIij0ZGa+hp8nH3Iq1R7PV6OXuyv2I9JmHAwOFBrrSXYNZj8qnzKa8txd3Kn3lpPbmUu3mZvuvt0x9nozM7CnZTXlisvPrM30Z7RVFmqSC9Lp6Kugpk7ZrI6S9U5C3IN4sKuF9LbrzdBLkFU11fj4uBCpEckTianpgsoPYBMWUqGpZQcszu+/j0wuwSwv3w/vmZfVhxYQWltKZWWSn5O/pkaSw3fXfgd3by7sWL/Cm5feLvd93FT/E3cN+A+u/Ly2/O3c9WfV9nlALww+kL6+fcjpzKnse8Lu17I+G7jmfjnxMa4qBDXEO5MuJOi6iJKakv4fe/v5FTmIBDc3e9uYrxiuP+v+7m659XMTZ1LQXWTILk6uPJ91ES6+PaE6DPAqH445FXmkVGWgauDK93S1mGY1azem5MH3DQPAg8ja0RVCdRVgGuAKi1/slBVDNt+gr+eV9WGR9wP/a8Dt1MmFdZh7UHZxKh5uQ1QqY5uvev9M46m3MaPwEuovHoPtbXEJ4TYCoxrVm6juGXBQlu5jXwp5TO2chuvSykTbIG6l9Ks3AYwBFVuw9y83MaxyGh+Ev0P6PyU1ViYt711fNGurDIuTvjn9p5OnvT172tna77R35wIj4jG10FuQa0+D3Q99I0h3i++lc3V0RU/Fz/2FO0hMadJxLMrspmbNpdrel6Dr3NbiY9teIQgEiYSYa0nwtA0mwh1D2V34W5eS3ytVZN9Zfvo5t2NbfnbWn02O202k+In4ePs02jLKMtolaD2972/E+wazIdbPmy0zU2by6CgQXZBuwcqDpBRlmF3HIBEUlNfQ0pxSqMXYnNxArXsul/W0eWbiXDLIghVrvL+Lv74u9iWGZ1DwNUXtvwA3hEQd2n7xclqhfTlMP8pKEqFvlfBkNuVs8XJQMYq+PPBpveLnwO3AOUoommLQ5XbOCKBEkJcgErYut6W4PVgNJTb+B74+SDHjETl1ENKuVgI0arcBlAlhGhebuNToSr5/iql3HQk19CSU2z9oWPxcnEk1Mu5lT3Y6+RyK47yjGL66On4mJUwRHlE8epprx5anJpjaL3U5e7o3mZwasM52krd1MO7Rytnh4bjm+Pv7N+YKaOBWK/YNsdbWVfZZoJbR4Mjfs5+je9b7lcJBN4YQVohb3er9gA4e0D382DCZ3DmNAjp2/ZxbZG7Hb68DLI2QXUJrHkflr4Glpr293Ei2dlGTtL1n4OltrVdAx1TbmMEcJGtyOu3wBlCiC9bHqTLbZyiODsauW9sLA7Gpn/bMG9nRsb4HaLVUZCfBEtegRkXwrpPoSQTi9XCgfID5Fe13thvL0aDkdHho/nugu/48cIfmXHuDHr5HZ0nWohbCFOHTbVbrru6x9XEeMUAkBCQQB+/prgoNwc3JveZ3Lhn1EB37+5cHH1x01iFkceHPG4X9+Rscube/vfSw7sHN8Td0GgXCAJdArkx/kZMomnxYHT4aDLLMonzjePi6IuZlzaP6+Ps/3/dEzuBqG22JPpH6XnYJnm71NJYc7Z8C6UH2j6+s+HTtbXNvyf8Q77HU5hjXm5DSvmYlDJMShkJTERVd7i25XEnU7kNvQd1jLFaJTuyStmVXYazg4FeoZ5E+HZA9u7SA/D5hVC4p9F04JJ3mFGTyQ9JP+Bt9uaRQY9wetjpnSYwtK6+jj3Fe8gsy8TH2YdYr1g8nJpmVXmVeSQVJVFdX020ZzSRnpFt9lNSU0JSURLF1cV08ehCjFcMRTVFJBclU1lXSZxbBMHF+yBjFfUeoRQG9iCxrhAPRw8kknD3cKot1ewt3ouj0RF3R3fC3MIIdQ9V2TxK0qiz1mGVVopK9xFYnEns9j9xyVgNYYNhwufg2caeYnku5Cer/Sm/buDs1f4vZ/dc+OZKe5urP9y2DDyC29/PiSJ3p/qhVGFz+3d0g0m/Ny6FngJ0ij2oxsEoUTnYHtTPqHJGAlgE3A94A/MAB9Qe1gLgMyDKNq7JUsottj2oECAaNdt7VUr5kRBiEvAwUAeUA9dLKQ+d8LM916EF6iRl72KYeWnjW+nTlbf7XchHKb/YHfb5uM/bzAf3r2bDlzDrrqb3PjFw3S/gfejVk/yqfOamzmXGjhl4OHpwd7+7GR44GKe83WqG4+wFQX3bFqe83fDDDZCrymrQ7Vw47zXwCm99bFuUHIDvr4X965tsl38MvSe0r31noGAPZG0Ba72K/QroeaJHdDw57EBdm0jZlds4FuLUkRzvbOZ6/t2JyCxT2cI35mxkaPBQhoYMJcg1iLr6OjLKMqiyVBHmFoaX2avVKnBBzGh+PrC0VZ87C3baC1RlERSngYOrWpY5mTzF2kPpAVj4lL2tcA9kb/lHgVqUvohX1r0CKMeQexffy2fnfMbA0IGHnglICRtmNokTQNIc6Hkh9LumfeP2DIEJM1TcVEU+BMRBSEL72nYWfGPUQ9MubGLUqQXpRPMvuzudvBRVF/HUiqcavef+TP2T86LO4+GBD/ND8g98uPlDLNJCD+8evHTaS8T4RqubQYFa4jOX5hDiGtjK+8zOqSB3F/xyO2RtBKMjjHkCBt4E5o7LrF1aU4qj0fH4LTPW10FNG96tdVWHbFZWU9Zm1o3VWasZGDTw0OesrYC9i1rbM9e1X6BAzbbaO+PSaE4AUsppx/N82kmik5Bakmrn2g0wO3U2u4t28+6md7FIC7EeUdwaNBKZ8jeWijzqRtxPxagHsUaPxc2/J/d3m2hXhDDasyu9/W0ZIuqqYclLSpwA6mth4dPKa6wDyKnIYcb2GVz151Xc99d9bMjZwHFZTvYIhYG32NscnP/R3dvB6IC/uXVWira8Blvh6Ardz21t7zLsn9tqNJqDomdQnYBqS3UrN+kGKuoqAOjpEc0bPoMJmfssWC3g6ErVBdO5unQDD/a7gtPnTGPgFke+GnYrewwSV4MDPSPHEuJu+0VemQ/J81ufoGAvRJ12DC7C5uBj9sAqrXyf9H1jvFFGWQbrstfx1Xlf0dO3g/cljCYYdreKR9r4pZplnv4IBDbFfVVbqtlesJ29xXvxNfsS7xdPkEsgt/W8hvW56xtzIHo7eTM4ePA/n1MI6Hs1pC6DzLXK1msCRB6TYHqN5pRFC1QnYEH6AjbkbCDKM8qu0u2w4GEEuATgaHDkjtCxhKz4QC3NWS1QW4Hz3ClcPvIWntn+MR+f/gBdF71E3NyniTN7wmUfgl8zMTB7QnACZKy0P7nHUZZer62A5IVqdoYVRj1MbsQQvtxhH35RZ60juTi54wUKwCsMTntYLV86uKgZVDPmpc3jyRVPNr7vH9Cf/wx6jAF/PMbMQbeyVVbhbDDR12qiq9G9Ze9t4xcDV38PhXuVa7VvDDi5Hcur0mhOObRAnWCyKrJ4Zd0rmI1mHhv8GOuy17EpbxOnhZ1GQkAC89Lm8cCAB3BwDea1fhfQ1ezL4MoKwpe9AZWFjPTqwfS9P3JT6vfcOeYeYkwexISNwCOoRfJXJ3c4+zn48nKoLla2XuOPeCM+pTiFxRmL2ZK3ibFuUQwP64f/xq/h51twuHkObo5ujZV/G4fQIqapOWW1ZSRmJ7IqaxV+zn709utNZV0lG3M3EuEZweCgwXbZMxo4UHaAdTnrSCpKIiEggX4B/fBz9iO5KJnNuZuJEk6EuYXg5R+Pk4OZrIqsVhktNuRuYHdJCkOAWoORkupK6oyO1AlnMjJXM7cuh+Ehw4n3jT907ai6SnALUl5+R1kIUaPRaIE64eRV5lFaU8qtA2/l4aUP4+/sz50Jd7KrcBe3Lbit8biBgQPxNnvzxe4v6OkRzTuDbiYgZRkZZhceHvgwJTUlpNeWU+vixlsb/8t/R/+3MZNCTUoK1spKHMNjMU5eohwrnNzBv8fhxerYyKrI4u7Fdzcmc/2Lv7k+6gLuD+qDQ/YWfFd9yIMDH2TKsimNbULcQojzOfg+0O97f+eltS81vg93D2d0+Ghm7pgJQFePrrx/9vsEuzbFBBVWF/LUyqdYm62W1b7Y8QXXx13P+NjxfLPxXSbjRdDaT6C+lpqhd8Lg26iVtZTWlNKSCmsta4ffyh1b3mpMpeTm4MYrQ6fy9tq3+WDzB3x2+uv08Yxp7WZeWQibv4ElL6vZ7cgHYcAklepHo9EcMVqgjjFpBRUs3pnLhowiEsK98HNzpGewB92DWnvK1Vhq+Hvf31wacyk7CnZQZ61jeMhwymvL+WqnvUdZYk4id/a9kwXpC9hZupfkuLNI7TmOR1Y+QZVFeah19+7O8JDhrM9dz57iPXhaHCmbM4e86W9QX1yM66iR+N97H869zlKd1teph9Gh5dAOyZ6iPa0yjX+dNpcJcVcSmb0FnNwZEz6Gj8/+mHXZ6wh0CWRQ0CDCPdr2UMsqz+LtjW/b2faV7bMr3ZFSmkJSYZKdQKUUpzSKUwNf7vySQUGDmGjuQtD8aY12p2X/pd4znMCEqzgr4iy74oyOBkcivLvxYtKPdnn+yuvKWVe4AzcHN8rrypmdOps+2Qdg3Mv2IpW2DOY93vT+r+fV0unhePC1hZRQlAa15eAZfkQ/JjSakxntxXcMySur4Z6vN/DsHzv4Y0sWz/+5k6VJ+bw6dxep+RWtji+uKebrXV8T5xfXWP8o0DWQ4priVglRAaxYAVU2wzW4H9sKtuNodGz8fHfRbpyMTpiEidr6Wqo3bSZ76tNYy8sxnnU61X7uFH31FZbyYkheAF+NV4/khf/oht2ctsYmG6wmJ+h/PS4OLgwJHsLd/e5mQvcJB80KAVAv69us/9RwvQ3U1tce8j2AVVqRUhKS2boOk3HjTMwYuK//fUzoNgFXB1fifeP54KwPCHPvQpml9b9RpaWy8TsutlSpPabszfYHbf+t9UVtnAn1toKTdVWQmQjbfob0VU0OJYeithI2fAHvj1SPLy+HnMMt8dMBFKVDxhrlXKPRdDBaoI4h2/aXsHW//c3nl037OTMuiB0HWteE8nDyoH9Af15c8yJDgocgENTW15Jamtoq912YWxglNSWEugTxQ+/76b3oJW5e8zXfBZ7NNeFnNx5XWltKqFsoXb26UpuWhqFbDPvffpBpYwt5cNBulpwdiMxYqYQpZYl6fHU5ZKxu93XGeMUQ5GKfQX181wsJ84yCm+ZDmIobqqirYG3WWr7d9S2LMxaTXdE60zsoUZ7QzT5jgovJBdEsON/Nwa0xb18DXT27thrH8JDhhLiGUNFWtoeAeDA60MWjC48NeYzfLv6Nj87+iIFBA3FzcmNS/CS7ww3CQKhbKIXVhQBc5B2vgnGrWvxb+nc/yLmMKqvCpq/h47Hw443w2ThY+RYUpKil1oMlU83eAr/fq2ZPAPsTVVhAbWsRPW7sWQgfnAafnq2ed8xSWdg1mg5CL/EdQypqLa1sUoKLo5F6a+tZh7PJmbv73c2uol38kfIH9/e/H7PJzMdbP+a2PrcR4xXDptxN9PbrzTmR5/Dm+jd5u+ctxP58p9rrAEL/3s0NI+9jnrMf+VX5xHpFc2nYaEKdfCn28iT/zkt4IP31xlnPbw4ruXLzmlZjYcNMiB7TrusMcQvhvTPf48/UP9mYs5Hzup7H6WGn49CsxIeUkj9S/uD51c832oaHDOfFkS+2yjLuYHDgxl434u/iz+8pvxPmFsYV3a8gtTiVKI8ouvl04+ZeN1NPPX9l/IW32VuJpFsQ/xv7P77a+RVmk5kePj1wc3TDbDLjGHcppTUV7IwbR3ZtCcFO3sS7dcHV5rzgYHBQJUnKsiB1OVTkMTownheGP8+MnV/g5ejFxB4TWb1/Be/0vZ84Rx+8cnaC0Unt3TWn54Ww7qOmPHRmz6YyEwV7Yd5j9scvfQ1MZljyIvSbBKMebB2gW5jS+otPnqfO0SLD+0Gpt0B5jvJidPEBSx0U7VUxcd6Rh7dkWJQOP96kMq2DEs6fb4HbloN/t/b309mpLFL1uNwCD3vpW3Ps0QJ1DAn1cibcx5l9hU3LZafF+lFjqadfuHebbXr69uSr874iozQDs8lMgHMArg6uvJb4Gp6OnlwScwnjIscR7hFOv4B+uK/7tFGcGgja/D1XDL0Gbxc/zt69FI8NM+G6XzH36sXG9G/tluQsVgu1JjOtioK096ZnI8Y7hvu870NK2aZn2/7y/bye+LqdbeWBlSQXJbdZBiPYLZhb+9zKld2vxCqtuDq6Mjp8NOO7jcdsMrMmew33Lr6XOqvK+H1tz2u5M+FOuvl04/a+t/P86uf5epfKGuPh6MG7Z77Lhqj+TF/xGBKJQPB/A/6Pib4xTUUWy3Pht3tgzwIAvICLLvmAsed+gVEYMUvJ2Nw0DH8+oW7yA26A62dBSw/JwDi4aS5kb1XlOAJ7N920q0vaLplhqVKzq/WfKrEYeZ/9520V+vPvqYogtofCNFj1Dmz6CjzD4PzpkPo3LH9d/f2ED4WL3mp79tcWZVlN4tR4DTVQuv/fIVDWerWaMPcxKMmAPlfBiHtPnnpc/1K0QB1DovxcuWdMDOvSi0jKLqNfF2/6hHnSM9id2MCDx9MEuQYR5Nq0VHVxzMUMDh5MjaWGINcg+zRBptau2tLJnatcIvH668Wm8gyr38U88Ru8y0MhvenYpKIksvpNoevO39V/SlD1m45wQ/9gbtc19TWt3MwBKtrY52mOR4sbsLuTO3mVeUxbOa1RnEA5Q5zZ5UwGBA1gR+EOlu5vykNYWlvK2xvfxkE4NIqzRPLGxjfoG9CXhIAEdWDujkZxamTuI7hGDFd5+/atwzD7IRVwGzFM7Qmt+xSG3wv9r7UXkYPlofMKV9ktSvc32Rzd7Euib/kGBt2kPCsbCOoDfa6ELd+p9w7OcP5/1Ezon7DUwfLpsOFz9T4/CfatgqWvNh2zbzWs+h+c/9/2zRRc/dWPmNoK5ULv30PNxP4tFXOzt8LXE5r+T6z/VGVbuWA6mBwP3VbTYXTYHpQQIlwI8ZcQYqcQYrsQ4j6b3UcIscBWz36BEMK7WZvHhBB7hBC7hRDnNLMPEEJstX32lrDdFYUQTkKI72z2NUKIyI66nvbg5eLI6d0DuKRvKLedHs058QGc0SOAnsGHXz8o2DWYSM9IzCYz1ZZqFmcsZtLcSeR6R4CrfX0pMeR2vGY/Yl87yLY3MCRsOJ5OTec3CAPF/t3gxjkw7B51s71xLoQNOrKLPsT4R4aOtLM5m5yJ8mj9i7SqrqoxY0ZblNSUkFOZ08qeV62W1A6Ut66ZtKtwFyHu9kHIFqulcT8JaNtZobpEzW5AJdUVQi19/v0qlGWrGLLFz6ryGO3BPQiu/BICbXuK3pFwxhOqmF8DQX3Ukl9z3Pxh3Cvq32niNzD5b4i0/z4PSnkWbG7mBerk0bT82Jzds5WLfAP1dSore/bW1vkMfbrCxe+qmdfYaUqMY88+LOeaTkdlIez4DX64WTmvNIhTA1u+UTNHzQmjI2dQFuD/pJQbhBDuwHohxALgBmCRlPJlIcQUYArwqBAiDlVkKx5Vb2ShEKKblLIeeA+YDKwGZgPjgDnAzUCRlDJGCDEReAVoUVTn+FBvlaQXVFBVW090oCv7i6oorqwjv7wGT2eHQwd4/gOb8zZz319qCejyDS8yd/xnuB7YiCjPg6hR4OwJLb3ght4BRhMx3jF8fs7nrM9dT1ltGQMDB6py7wYHCB9yNJd8SFwcXHh00KP4O/uzIH0BMV4xPDjgQbp6NRW2q6qrYk32Gj7a8hE19TXc1PsmRoWOwt2xaSaRXJTMuux1dPPuRlJRUqNdIAh3U/s28b7x3NzrZqosVcxLm0dBdQGjw0azp1mtLAB3B3c7N3X8YtWMtPkSXPSZ1LkHkVOWiZNvV/yDEiBne+sLTPwU+lzRKksFqFRKeVV5uJpcVbn60P4w6Q+oyAUk/HQrVNqS+pq9YOidbc9iXLwhYvhBv+ODYnJWAcMltlCA2nJwbmPmFTqoKVFwRQGsfhdWvKGWAKPHqnIhvtHqcyHUXpusV3tRDWycCTfNg+A+rbrv9Gz+pik8IKCNZUq3wDb/fTXHjw4TKCllFpBle10mhNgJhAIXo6owAswAlgCP2uzfSilrgFQhxB5gsK18sYeUchWAEOIL4BKUQF0MTLP19SPwjhBCyONc5Kq0qo6v1qQzfUEy1w6NoKy6jh/WZwJgdjDw6Q2DGB598Kq6ZTVlbMnbQmpJKt5mb3r796aLRxe7z7t5dSOpOInpfe7GdccsxJbvwcGsPKsunA43z4fV76tftINugogRje1jvGOI8T50GYQ6ax0Hyg4ghCDULRRjG2XbD5dIz0ieGvoUdyXchauDK26O9ql/Nudt5p7F9zS+f3Tpo7w++nXOilBxWrmVudz3131klWfx4MAH+WH3D6SWpuLm4MYTQ56gm3c3ssqzmJc2j++TvsfVwZWrul9FUXUR18RdQ2pJKhmrM8ivysff2Z+nhj5ln2rJPVTNCpZPVx510WdQP/ROXtzwBj/v+Rlfsy9TR9/LacUFGHy6qlnFth9VOQzfaCXyDVSXQsEeKusqmFW8gxc3/48Q1xCeGPoEw0OGY3TxVoIDcNU3kLNNzVgC4ppE4EipLFIzJGdvNfNqmH19f41aSpRW5TDR/Tw1awI1Cx/9aNMNOHMtLGtW4mfvIlj/GZz5LBhsCy11lbD8Dftz11VC2vKTT6BKMlVgdQNlOWomm71FvRdCfYc62PqEclz2oGxLb/2ANUCgTbyQUmYJIRr+AkJRM6QGMm22OtvrlvaGNvtsfVmEECWAL6qMcfPzT0bNwOjS5dA1gY6ErZklvDJ3N2YHA71CPXjw+6Y4meo6K4/9tJWf7xyOr1vT/lG9tZ6t+VtZkL6AKksVAwIHsK98H25ObqzNXsu7m95lQrcJbM7fzLb8bVwYfSFdPbvSryQPse4j1UlNCZTnULP6XTIG30z02c9hOILcenmVeXy2/TO+2fkNQghuiL+Ba3pcg6+LL9SUQ9ZmKEpRv8qD+x7Wf1oHo81brg3mpc1rZft659eMCRuDyWgirSStMSB4+vrpnBt1LmdHns2o0FH0DegLwG97f+PrXV/jYHCgvLac97e8z/tnvk+UZ5R6eESRW5WLv4s/XT2blSWvrYT0pfDrHerGHT0G0ldi/GUyAYOvwCqt5FXlUVOWhUhapG7YLj5qtrNrtm3WY/vvU5wBcx6D3X/gAlzSZSiGuGt5bvdM7ll8D9+e/y09fJt5/nmGqcexYP96mHWvEjzvSLjoHTWrjj0LblqgluycbXkYHd0gb6cSFd9Y8G6WOiqzjSKeO2bByAfAxebUIqXal2mJtbX3aqdHSvtxJ34Cg26BIbcrQffvrr4zzQmlwwVKCOEG/ATcL6UsPcRSV1sfyEPYD9XG3iDlh8CHoCrq/tOYD5e9+SpWZXT3ADKLWq/JpxdWUlqYg690VHsSwNb8rdw490YsUv0n+Sn5J/5vwP8xdcVUbul9C0OChvDf9f9la/5WQCWUvb3P7QworWj1j+aUuoy/QmOplBb6tlOg0kvSWbxvMWuz1zIocBB19XVqLBI+2voR0V7RnB95rvICm/NIU8Ne4+H819Uv9tpyJVZHmHDWy+zVpq3hb6R5EHKdtY5Ze2chEI0zrOLqYtYeWMXH8XcQXlZAncmRzY4ObM/fzohQNYOM8ooiyqsNT6yMVXBgo1rG8YlSjiKBvSBnO10c1J7dYL8ERiYvRTTUeqoshMXPwzU/NsZ6AbBnEez+o/GtOWM1p4f1412zLwXVBaSWptoLVEvqqtSszMn98Fy/y7Lh++vVbABU1olvJsJtS9WsLHyQejTnYEuGbXnzhQ2CZsutmD1g1P/Bz7c22YwO7d8b60x4hinx/euFJtvWH2Hwbf8Or8R/CR0qUEIIB5Q4fSWl/NlmzhFCBNtmT8FArs2eCTQPBgkDDtjsYW3Ym7fJFEKYAE+g2a7v8SHEUy2TGIXA1an10tjAcDf8lk+DnDUw/jMIH8zslNmN4gQqA8Ka7DXE+cbxY9KPvHLaK43i1EC4ezhl9bm0dAi3hg1iQ2kKJbKevlFnIqUkozSDrMosfM2+RHpE4tBsj6OwqpA3NrxBQVUBeVV5JPgnEOoWyn9O/w+rD6xmW8E2qi3VLEydQ5CoIyakH+YDzepIbfsRVrypfoEmXA3RZxzRXsnYLmP5cseXVNdX274/I9f2vLZxeTHKM4rRYaNZkrmksc2EbhMak8aaTWaeDT2bsF/vadzgDncLZP/l7//zyTd+rTzz+l0DK99W3mnekchzX2Fb+S4AzvFLwDXx+dZtW8Yo7f2r1SGB+9YTG9qVguoCOyeVVuTuUqKXNFu5kZ/7KkSOOPjxzSne1yRODdSWK6E63GXDLsMg8jRIs3lDuvrDiPtae7AF9YWzX1AVg82eEH8ZeB37VYkORwiVL9EjRMUABsZD/0lanDoZHSZQNk+7T4CdUsrmATGzgEnAy7bn35rZvxZCvI5ykogF1kop64UQZUKIoaglwuuBt1v0tQoYDyw+3vtPAL3DPDm3dxB/J+UxYUAo0y6K59W5u6israd7gDPPJpTivuhXdRP98Wa4ZSE19a1jY+qsdZgMJjt36uYYhEHtMzTfS3APgt7jCSneRA1WKmor2Ji3kQeXPEiVpQqTMPHYkMe4JOYScitz2Za/DVcHV84KHkmQwRGzWyBvb/uM5VnLAbip102cH3U+01ZNazzvQwMm03fwDVRXFzHYOQTDL5ObBrX0NTA6kWNyJM1QT1fPrvi7qMJ/SUVJLNm3hKzyLMZ2GUtCQILdPlQvv17MOHcGq7NWU1dfx9CQofTybcqg4enkyRNDn2Bczjh2Fe6ij18f+gX0a3S7F3VVhCTOtPO+MpTnEJS3F6LOOPQ/mrOn2gNqvg9RlAar38fQW7VNqc7F6tMVQ2EKdDtH3cTKc1svcUaOgp326Y5yQxJIKdvA6WGn0937ILFG1aXw+/3KBRzUMt1Xl1N38fdYXcJx6voPMThmz9ZOHtA+V/SWeIXDhE+VYFqqwa+b/RIgqO95w+ew7mM1uyrJhJ9uhqu+bbtgY2fHLRD6XatinoxHv+eqOfZ05AxqBHAdsFUIsclmexwlTN8LIW4GMoAJAFLK7UKI74EdKA/Au2wefAB3AJ8DzijniDk2+yfATJtDRSHKC/C4E+hh5qVLe5ORX8Fvm7OYuz2b64dFMDKonrjUz/BZPKPpJlqSAWXZXBB9AT/v+dmun2HBw3hzw5tM7DGR0tpSItwjSC9rCmI6UHYAt5JCNYsZ87iawdSUY1jwNOeNewbcAliUsYj/JP6nMYGsRVp4fvXz9PLtxdOrnmZy78k45u9hzOZfcM5YRU1wH14843EuKthGcW0xDgYH3tz4pt24pm//hFv73Mri3OV8X91GPFfKX+T4hnHL+heJ9Yrl9dGvY5VWbpp3EyU1Krjzx+QfeWnkS1wQfYFd0zjfOOJ8D57lPMg1iPO7ns/5Xc+3s+dW5rIuZT7nl7d2P3doGVDaFn2vUpkZWiDydjI56k16hg7HzdGNmqDROBemwPZfYOl/1Gyh+3nKjb/BeaDbWbDzdEj7GwBrSH9qep7PMw4X08OnR5uByYDysmsQpwbqqrDsWk36C/cT/sH7uA4+RMFE32g46zn7JdhRDylxORJc/SGqdVXhRqqKYdcf6u8vfUWTff+Gk1OgGtDi1GnpSC++5bS9RwQw9iBtXgBeaMOeCPRqw16NTeBONF4ujmytLuGTFarg4Pt/pzDsHCM+Wz62P9DZG1x86OseyIdnfciXO76k1lrL2RFnszF3Iw8NfAhQgahTh01l8b7FbMrdxIiQESQEJOAkUuCvl5T3ng0ZPQZ/ryiCMzeQ69+Fopoiu1NKJGmlaZTVlOFSV8nAZe9gLFAu2E6ZiTj9eCtvXTyd61c/iURiabHpXS/rsUorpbWlWDxiafXf2dWPAqvaPE8uTmZe2jyiPKMaxamBtze+zfCQ4cr1+ihZn7Oe17Z/zIC4Cwlabi+odGnHcmPoAKguam33CMHTK4Le1iAeXfYom717cM/WRRgavLuKM9S+z21LIcDmEegdCVd8DvnJIK0Y/GIId/W3W69uEwdX5bjQkG/PhgiNwSEyiuynpxHx1ZeYfNr4vupq1DLb7jlwxlOqkGVQLwgdeNhZQdqNkzuEDVbfQXNapn7SaI4ROpPEP1FZBI4udhkcamotJGYUsSe3HDcnB3qHetAtyIP8Cvullg92OtJj4CMEJtoi+I0OysvKKxzH6hKG+SUw6Ay1iZ1VnoW/sz9ZFVnE+cZxeezlODs408e/D7sKd7E5bzNZlVnE+cViumA6ovSA6i8vmfr+17ElZwPpLi74mn3xtW3ON2AQ6pe+q6MrgTVVjeLUdI0FBNaoQNkaSw2eTp6N4uJocOTGXjfi6+zLJTGXUOgaTfDGr6ChppKDMzW9LufVHe82drcmew09fVpXzq2pr6Ge+lb2I2Fr3lZMBhNfG2u4dsTdBGz+gXqzJ+WnPcgaSwE9SjPo4tGFstoy9pXuo7immNLaUgJcAoj0iCS3MpcKB0d6jX4cpw0zVKYHkxkueodCkyNpebuZFDeJuHqJIXu6/cnra1VW84Bm1+jiA10OM67MOwLOeQF+b0pzVNP1AlZvD8LhoikEb/wea3k5tCVQ2ZvgB1ty2/3rYchkyEtS7uRBvY6+UnJbmBxh5P1qn6rctnUcPfbwr1ujaSdaoA5G8T7Y/K3yYvPvAac91Oi5tTgpj7u/3tiYALZ7oBtvTuxHhK8rTiYDNRaVxWFlRhUvuI3myYln4EMxJp9IMPvAmg9h7QfgFoxp9CPs8Qrmpnk3N858jMLIB2d9QKhrKEv3L2VT3iYiPCJILkpmsI8Ft3lPKFdhwNprPG9nLuDT1N/wcPTg6h5X8/ro13n474fJq8pjaNBQJvacSJhbGFnlWbi6BqqS5C1mSWbXACbFTyLeJ56BgQOZnTqbnYU7uaffPby89mXyqlQmgt9cgvn2qq/xzN2JsNZT7R/LHbs+I7OiKZvD2KChDKiHHl6x7CpObrTf1OsmkgqSmJE1gy4eXYjwiKCythJXB1fi/OLIrcjGLXcXHrvnYZISQ58ryfXtSmLeRspqy3B3dGdX4S4GBQ0ixC2EocFDcfPown+L9xI25ErCvaL5Mu0ndhfupq9fX54f8Txb87eSX5VPiFsI5XXlrN67mj7+faiqq6RHVTk1lbkYe16IIeo06i21yJJMcmU1yws24e/ij4ujHxFmz9Z56Jx9sFgtmAzqv5DVaqXGWoNAsL1gO3uL9+Jj9qGXX6/GNFbNjwcoqikmK6Q3odf8gEPWfsprPUjKDGJ7YjVQjf8FEzG2JU6g3McbGD0F/n6laYxBveGKmYfOI1dTpvbAXP3aTJ91UIJ6w82LoCBZBQQHdG9yQ29OYapyJjF72jJl6HRBmsNHC1RbWOpUQGKibXmuKFX9arxlMdlOXfjPvCS77OS7c8rZur+Ey/uH8sbEBKbN2k5OaQ2xgW5MHN4d7ygfTEbbfsXKd2D+E+p1wR74bgvrLnjOblmuXtazNmst63PWsz53faP9wq4X4rlrbqM4ARi2/ciZ455lT9hp9PTpyezU2SzKWMQdCXcQ7hbOZ9s/48U1LzI6fDT/Hf1flhenctHI+3Fa2hSUWdn3SmbmriXCJxZvszcbczdyoOIAI0JHUG+tx9PJkyDXIHYW7CSrMovX9s0mvzIfFwcXLjTF4tFsye7s4BGMyUnF9ddH+WriN3xTk0lq+T7OCBtNrbWel9a9hKejJ1/t+opYr1jGhI/BbDJTJ+sIKzpAwM+3Ne7XldSW8oKXG3vKUhkTPoaZO2ZydY+r+W/if0ktTW085/Vx17M+fzsB/r1IL0nnvKjz6OrVladWPkWkRyQJAQnMS5vHyLCRWKwWnl75NH8PexWfP+9rEup1H2E461mY9wTRvtEE9b+UNza+zV0JdxE79ilC/nyo6c+j79WsqSvivbk3MCpkFP0D+7MqaxW7C3czJHiIXUn5/gH9eWrYUyzLXMaijEUMDR7K+VHn4+XkxcvrXmZ26myujriOoDnDqSypBZpm4SVWD4xu9sHNjTR852GDIOUvewHN3gppK9QsqixbBeM2d+zYtxbmT4WcrdDjfLVvdTjea95d1KMBq1WVA8lPArO3cpX/7S71/8bkBKdPUR5yrgfZi9NoDoIWqLYozWxKtNlAbQXk7aTcL5TsktaxTqXVFgwGA+f2CqZ7oDuFFbUEezoT6t0sVUp5rsow3RyjA4WVubTE1dHVTpwA/kj5gxtirqflrcTTUke8bzzvbX6v0fbMqmf4vwH/x4oDajP7u93fsa9sH+MixmGJOg1HJ0/qhGCPEX4oT+bHpG9I8E8gzD2MP1JUTM/mvM0sclnE5D6TWZixkDsS7mBd9joySjNwdXBV+2N5m3h2+LPcEH4Obrk7CU9ZgUvpBjjzGYypSxnv4ske724szt1EpGckt/a6lXU56zg9/HTW56jre3396zzQ/wEGpW6y88hLDevHkqRPuanXTXyz6xsAvJy87MQJ4IekH3jttNf4eufX3NPvHnIqc3hno/qeN+VtYvG+xVzd42qeWfUML496mS15W3Dc9ov9LNJar2piBfXGIXsrQ4QLAJ9u+xTnPrcRc/4LBFaXU+bgTH1gHLcvfRCAK7pdwWfbP2PZ/mVc0/MaPtz6od3YNuRuYM2BNby+/vXG73RxxmIeHPAgs1OVJ2ZRfR69I1xI32IfBOsdchBxAgjpB2FDwCtMxXO1JG8XLHga1n0I7sHKfT3mLLV/9OVlTbn2tnwHJftVdouGtEeHS9JctdxYXws9LlDLpUW2fyNLDSx6Rs28Ys86sv41pyxaoNrC6KA2mlsu6xidiPB15YI+wXyX2BR/IgTEBDRtTHf1d6NrW85QRkeVuLN5AsqKfPp5tXZD9nFqvbQjkdS5tu643C+aFXt/bGXfUbiDCI8I0kuVJ+DKAyu5sdtEXH+4FSry+P2SV5m26a3G44cED+GjrR/Z9ZFdmU1uVS4rD6xk5YGV3Nn3TqSUzNw5E4DC6kJSS1K5oKQYvwXPq+9u7NOw4CmMUuIK9DV7Ujj2EV7c/C5nR5xNrHcs/0n8D7f3ub0xPmt26myurrf/hV1ri7k2GUyNbvlW2bpAXm19LZvzNrMyayXdfbpjqizim+634lpfxz5HM69m/AFCtU3MTiTcPRxjQXGrfqivVaUysrditEUr1NbXEuUSxO0bpjQe9qjHo9za+1bMRjMmg4ll+5cB4OrgSmnD3lwzimuKuaL7FXg5eVFZV8kfKX+QU96U3fx6724E9sohN9WNqjIVYhAR70WQOQ0IbtUfoErOX/G5mrV4hqsces3xiYLZ/6cyJpRkwnfXwC2L1I+klolg05cr4Qpq5Yf0zxTtUysCDRkmAnooT79Wx6W3tmk0/4AWqLbwDFM32T8fbLL5dVe/rk0GbhgeiZvZhIPRgIezAz2D3BkU0Xa9JzucvWDsVHWzaOy3G45mT54f8Tzf7/6e08NPx8PRAy8nL8LcwsgsbxLCwYGDCHcLxRrUB0P2FgoTrmJbz7MpMRrxNrc+v7uju12WcLPRjMlkZtZ50whwDcK5zt57TCIxYGhVar15Zds/Uv7gscGPcZfhJiyVeawq2kWVpYoqn0gQBog6HXb8al9OorqEHiU5lNeW4+rgyta8rXT17MqsvbN4fMjj3NH3DuLdIzHUWtQvelvbyJJswt3CWJO1hrFdxrIgXZXGcHNwo7zZ2M/sciarspS7dn/XMIbvWo7jnv8BEGUw0vfS91lsVkIohCC5OJmK+Mk472xxI40YobI6+Hdnt0ktyV4SfgZdypocTkzCRKxnV6Yn/0JK+T6mDZuGQCCRbMjZwMjQkY2CBcrJJN4vnv8m/pczI87E08mT/xv4f0Q6ByEQxPvEEb1rIc6pSxk/ZgrFhlhMBgve7jk4l5dCSRclRm3hEaIe3lFqKW/r92pJ7bRHIGme/b+BlMqJoq0USw7OR54UtabEPnC5OEMl4c1Ptj/O/SBCq9EcAi1QB6P3BOU+nL4SvCJUOhdb1dMuvq5E+bnx0uydVNTWMyLGly6+rkT7N2VryCurxtFowNOljc3hM5+B4nQwe7Ipaih3LnsYbydvnhz6JNvyt1FQXcCclDk8MugRlmYqJ4nhIcM5z38AHl+MxzJ4MtnjnueNtN+Zs/ppAB4Z9AgrDqxodBF3c3Cju1c3vt/9feNpr4u7jqlrnmNf2T6MwshrQ6cS6hbKftuv+eWZyxnfbTzf7v62sU2ERwTFNcWN74UQeNSUM37zH5j3r2dil2FkRAWR6uKB8zXfUFNfR+iiVpECmCzVTamLhBJDIQTz0+cza+8sXB1c+WrwM4SM/xTHnF2AxDm4L2/7XMO2kr3Uo4To9z2/88Tgx1i87y+Si/dwdsRZlNdVMC9dxTT1qK3Dcc+iphNb6/Fc+Axe46YxJGgIsV6xeDh68FVFCvdc/gmGxE9U7rXu56nSCwV7qbxyJl9ve4d7YsZzQUUNTjXluDu4E+QaxKWxl7Jh3988E3s1VyY+R3V9NWdHnM289Hkk5iQyuc9k3B3dWZq5lDD3MG6Iv4G31r/FhG4T+HDrh43ekXE+cbw/8hW+T52NQ0EK1FXisXYqjYtsvcar/aGDBG3b4R2hig+e9pBygHHygA0zWh/n5K6KK3Y/V7mnN3DGU0rkjgRnL4gaDalL1Psdv6m/779eaJqpDbgBQhKOrH/NKY0WqINh9oCYserRgl1ZpaxNLWREjB9/J+WxYk8B7yxO5uXL+1BcWcdP6zP5bEUaHi4mpozryWmxfjg5GFUut/lPqvV5Vz8qIkcyvToJs9HMDfE38MKaF7gs9jJcjC5c2eNKHl32KMGuwXT17EqIawgLc9fTfeLXmIrS8SzJopejN/OEAau0MmP7DO7tdy/CUoNzXTX9LGCurmXq0KkkFSXRy68Xf6b+2Zh8tV7W8+Kmt/lfv4dZnLOWNEsZ3X160N2nO55Onuws3EmcTxwI+HBL077K1d2upM/sJ5UXF2BOnk9MwR5Kz3uBd/MSmZs6l+96XUL44p1NX5gQ7POLxrF8E5V1lfT2683C9IW8NOolMkozuL3P7YS6h7KsdC+nWSQRexYgrPU4+sZQkLedZzb+hzprHc4mZ14c/iy19XXkVubR3bs7fQMSmLpiauOpnGraqCtVup/iskyu6H4Fy/cvZ2H6QsrqyhgfdzehBge1Rrv4OZVZAiirK2di+Jl0tQp8dn5D6RlPMT18OhZp4UD5AYod3chy8eCZoU+RYPKmf7erSfBPIDE3kSpLFfG+8Xg5eZFdmU1aSRrODs6syV5DSU0JMR6RPBh2DoHVFfhWlDDNqz9W/xEqI3hAnHJXr62AuIvUnljPi9r392pyUjMXUO2H3wuzH1LXZjCpvl39VQb26DMhpL9ytnF0U+LUEHR8GEirlerkfTgNexBRW47Yn6hc9R1d4OofoOyAcuYIjNdZwTVHhBaow6SwooYNGcVsySzG1cnEg2d149dN+5m7LYeHz6ll9tYsXp2nXIDzymu49YtEvps8lCFdfQGp6ukAVORT7hFEcsEyLo29lHc2vcPtfW/nzQ1v8vyI53l21bNUWapIKUkhpSSFv/f9zZzB0zB9Pwks1bgCV/lGYx50Dc/tnomrwZGE6hp6F+dgQkBIArlFqWwrL+As394USCurDthnLfA1qzGNt5oxho9kcW0BlXWVfLXzK0LdQskoyeCybpdxbuS5lNeVMyR4CH2kc6M4NWAoTCGwppIfkn4A4IOaDG4b+zjhW3/F6uxF6ZDbyDDWcXvf23E0OJJclMwbo9/gtcTXyChTQZ8OBgdWDHsN572L1f7Jrj9w+mUyfue9zMVhY+juGUNft1ByKwrIkDV4GB3p7RJCj3oDi4a+iMXRjY+yllLjFqZuys2Wt6q6jmF+wRbiHRygppRzgoYyN3sV9Z7h6rght8Hw+yB7K7VZm8kwGrjQrz+VwOqxXamUVby9+lWKqosYFzmOwUGD2ZaxhGtKSvDe9B0YHehy2hQuTXiAj3bOJLqmhksCR1JnMLGsOpsIjwg25W3Cx+zDG8FnETH7yabx9bwIRj2sihLu+FUJSPdzwegMA29qyph+OFQUwJr3YfznSiRqK8Ej2FbQUqq9KVAJcq31asZ1+zK1YnAYVG3cRPqNt4GUBP3fbbiedw9Gb2+MK15TGS56XX74Y9domqEF6jBZuCOXF2Y3zQ62Hyhlyrk9mLMtC4OAGavSWrVJTCtSAuXiC6c9DLNUDSSftFWcGTsEs8lMtFc0y/Yvw2QwUWmppKzOfiN7WEACvms+sStM6FCwl1FWJwYGDGRqxEVE/Xw7OLmBRxhs+BzfSz/k/l2/4p34LAsvfBmDbbYFMLH7RCrqKrhm1ZM4m5y5wzeYstoKKiwVTBk8hadWPIVEMn39dKYOnUpxTTEr968kKOo8osMG4mz2Ug4Ru+eAEFib7WH8dmAZmYGVXH/WYyzY9xfz1z/HaeGn0cevD8Mc/TnfHEFxcRZXB4/i9YofqLXW8p/ed2Le/DXs+lMtqZ45DdJXEWWxMnXHCgTLoNcEeuTtZlT3c7gueBwOOVth2c0QfylG72ju8u9Nkos7pgun47f4JSjPoTb6DFb3Oo/V297lzm4TiV/1JQarhQeH3IbRLRhLlyGYfr1T/eofcT+mgTcxcNsPiK0/4OEexOljnmC/f0+QUFFXwU/JP+Hi4ML1Vme8178DDi7sGf0QiYZqBuVv456kNRjTlqo9ncGTudgtmPgu5/K10YkITEQsnW6/N7TrD7Wc/P11TbYt36iA7rpy8OwCDocRpwQq9qj/9cp5oaFooRBKsKqaZc9o8JisKYXqslbdHAopJYVffwV1ataZ/Yra8/O5+hICvTIPLyu7RnMQtEAdBhU1dXy6IrWVPTWvgmcujMfD2YEgD2f2Fdq7oXu7Nits1/MitayyYQZGz3Bu7XsXmTV5+Jh9cHd057qe12EURm6Kv4ncqlwWZSyiylJFpHMgpqJ1dv1mnvYgyz19CJfhLJdl5E36gS1Za9lanMwZnhczrDyLgANbqAjpx8+pf3JPv3uYsX0GTkYnTAYTv6f8DkBZXRnz0xcyofsEFqYvxMvRi/fOfI/8qnw8nTxZsm8JPyX/BECVpQrHc55iXtp8evn1wmPwNVhqyglw8STcPbxxCXFk6EjuW/lE41gXpi/k2oDhdFv0EoacbfgAV7sHMfKi6SyuziZYuKjYnboqm4v0VLj8E8T31zdd8F/PI8ZORfx2N4YLpqv8eEPvVAUHq4oQnuF0u+B1lvhGEnHl52QV7WVpaTLu1PDG6W8gSrOgtpKy8EGkBnYjOGk2LkttMUvVxTDnEQyXf9JYjl0U7IWfbsF30izu738/GWUZ+Jh9cDIYCbLlK9wz+iFuzPiFcNdgzs/YpsQJ1HWseBMxdioxqSsZH3U6NaX77Uusgwr+3vCFvc1ar2KbHN3VspxXeOP+Z7tw9lSzogZxAiWKf78K4z9V3qTN6zoF9Dq4I8bBsFqpL2hdOKC+pBxGX3fs6l1pTmm0QB0GJoMBPzcnwP7XZoSvCwldlBfd/WfGcv2naxsDeQPdnRgS1cx92tkLel0G8ZcCkqSMv3jo74ewSAvPDn+W0tpSiquLcXFwITc/lzsT7uT3Pb8T4t+Lkp4Cz1Xql2r+gOt5tHInWxKVe/lVPa7i293fNS6ZLc5aydVdL+bWYXdT7OqNSP2VmTtmckHXC4jzjeP9zU0lKZxNzpwWdhpPLG8SlDlpc7i///08ueJJLou9jN5+vdmav5Vr467lvr/u57LYy/htz2/sKNwBqOwXL458kYyyDIwYqW8WzwTKaSMoZyeGnG2NNlGWjde2X/mNbN4uz+TDsY8wcNZD6gZdX6eyEYByoxYG5ViSukx5qVnq4Kxn4Zfbmm62JfsQv99PzMQvuGjhrXblTB4b9Bh17gGkXvg83k4+JOVs5qYdv6u9m54XqnNkrFIiGTYIMm0/BtyDmV2eyrT1TcG3Z4SfQdQ5U4n/9iY2mKwU1xRzffhZuC9rkXcRoKoYkTwPU/QIaj1CsYb0w1BdonIyZm8BYVJOGi2RVkhdCr3Hq1llv2vU7MfZR82S/4m2CgtW5KoS81d9C7/fq9zPQwfChW+0PwN6UQbk7UQU78P7svOpXL3a7mOPs8+APgPbLmGv0RwmWqAOAycHI3eOiWZVSgECOL27PyGeZs6Oa6oYOyjSh4+uG8CGjGIMBvB3cyK3vJouvi44GJttRAtBekka721+D4u0cG7kueRX5fPOpnewSismg4k7+97JVzu+4sEBD/LGhjeoDR7J9f0nYdz8NXsDu7Fl55LG7rycvBrFqYHvUv/Av18kmdk7uKrHVVTUVbBi/wpcjC6EuYc1Hj8iZARzUufYta2urya3KhcXkwu/JP/C7X1vx8PRg2WZy6iX9QS4BPBD4Q+Nx9fLet7Z9A4J/gn8nvI7jw561K4/P2c/vApbx8J45uyka3Rv9pam8nbmQt6LPROX3cojT5o9EGc/D7k7AQkBt5LvE8XW2nz2V2ZxUS14tLwRl+7HWrLPTpx8zD5YpIVHlz5KrbUWgeDmXjdREnMWnh7Basa0/ReVVy7mDEie39h2X8JEVhds5bY+t1FdX83c1Lks3reYS2Mv5a8r3qeuKo+XRr5EeXUhNf7dcdq3tsUfjTs1Ln68tf0zthQn8ea4F1iQPo99lXlcPGACgz2741F6oKkoIigxDk5QAmUyq1LxX06AzDWqtMfZz4NHqCrPUZEPvl0hIN4+nVBgfKu9OAbdCh5B6nHLYhXn5xZITVYB5R9/QtW2bbifMQbXYcMw+bcRyFeRD6l/N8Y9uQaNIOSp+yn47k9wcMD/9ttwHjEKXI7AZV1KqCpUqwuHk3pJ869GC9RhMjjSh1/uHE5aQSWfLk9l+/5S/N3NjHcy4eZkZE1qIZszS3B2NLBpXzFv7chlVKwfj41zIC7UvnBdVV0VWRUqaHdw8GCeX/184x6RxWrho60fcVWPq0gpTSGrIou39v7M+UOeIy1mFPuF/QxFti4kjEQS4xnDqv2r2Fuyl+SiZIwGIyW1JZzf9Xw25m6kylKl9qZo/Su+3lrPGeFn4O7kjoejB5GekXTz7oa/i79dtdsGsiuy8Y9QN7aMsgx6+cazrWA7ADmVORB/papa2rxN1xFsLFoDQGZVDlXu8bgAlrDBlAb1wid1mdrgNzpRWlPKa9mLmW2Lh4roeSujWg7CyYO6Ftm8L+h6AR9s+YBaW8Z1ieSTbZ8yevRb9P1iQtNsI3k+sr4GEdBDZRMBCqNGcGDHp8xNm4ubgxvXxl1LraWWxOxEZuxocuV+ftBj1J7+CE4HNqnyE9IKXceApRrLoJtwyJzNNT2v4c7ljzTGpv2dvYqn427m8oChcPG7SiSNJhXSkPipisWrLlM1orudBbFnqtLk310DI+5vitMzOsHlH0HcxU0XXZSuHBU2fa2qH8dfCt2blSxxDwT3QOqys9l3113UpaYBUDZ3Lj433UjAAw8gHFrMgorSYN8aVVEZA8baMjzLs3F76V6IHIbR9QizqBemwcYv1N9GcF9V6Ta0/5H1pflXoQXqMGnIqffgd5uw2JbxXl+QRI2lHj83R575fSeRvi7US8nACB8GRXqzfE8+eeX2mc53F+6mrKaMcyLP4YekH8irzKNe2otOlaUKozBiFEaEEDwYfyPef7/OhtF3k1dViL+zf2MS1/LacoJcg8iuyG5sPy5iHAsyFnB6+Om8vv71xv5/3fMr00dP59bet+JscqbaUs2goEG8sKYpfsnB4MCQ4CH8b9P/2Fe2jxvjb8TH7MNzq5/DYrXwyKBHGgNUGxgTPqbRU/CbXd/w5vDnsRiM5NeWEuQaRGJ5If0H3oj7hpkg66nofi4L3NzJz8oH4KLIc6mxurD7nGkssRSzeP0r/M8Yhl/i5wCkTPiA2YlNMVqf5Kyk+7A7CFhlS/FkMFJ45lQq3Pw5M3QUvkYXluRvwmwyU1prn+FBIsmpyG61FCZS/sZy3W+I2LPZ5+rFxym/sCVfldooryvn/c3v8/GYt3lgxeONbe7tejlnbv4N191zVd/RY5G9LsPw210AuAJPDLuDJY4edoHTAO+l/c6gsNPp4hmuRKe6BFF2AM59TbmHr/1AJS7uOlrtXw2/B+Y9obKRJFyjRLBkn1r+O7AZQvoqb715j6l9sG7jIHyISkfUZRgE22eLqElKbhSnBgq/mInXhAk4RbWMjRKqcONfL6hZbZdhykGFMjhScaqrUqmQtttqoxWnq1naLX+B32FWBdb869ACdQTsyiprFKcGZq5K59aRUTx+Xk+2HyjBaBD0CPIgPtSDtIJKTMambAxF1UU8svQRUkpS+PLcL6m2VCOlxNHg2PgrH1RFWbPRTE/fnrww4gV25W1h6YhbMAojWeUHmDJ4Csv2L2Nr/lYEgmnDpvF35t/sKtzFqNBRhLqFsilvEzsLdtqJn1VambVnFud1PY+VB1byU/JPPDP8Ge7pdw9rs9bi7uhOv4B+fLrtUyI8IthesB0vJy+eWf1MYx8/Jv3IlMFT+Gz7Z+RV5nF+xNmcFz6Gu5c33bjrhWBN7ka8zF4k5iTSy7cXfoNuxDXufByFkT3U8cnalzAZTIyPvhirwchbJTvZV5XHlkI189rbfSR+tv4qS+3Lm68v3M5jvoI3rviC6qpCttSXsbr2ANfm7+XV7BwcClO4N/4isgOH8qvLr+Q2y3loFEbCXNsoSWH2YpesYourGS9nV5Y2ywrRQFbOJt7ofiM3b32LWK9YzrM6NYoTgNi7COEXoxwcKtQPCP81HzEo+qvW5wNcD2yiVkoOmF3x9eiCR9kBNZtwCwDfGFU9OXuLcjvPWAvRZ6gMEmYv+PmWpo7Ch8Il76mlvvo65fG549emz9vY65It9goBlfy1rcLURkf49Y6mANyMVVBZAGOebPO62kVxBuz4xd5WXQL5u7RAabRAHQkujq0rcHq5OBDi7czDP27BKiHM25l9hZXcODyK20/vale5Masii5SSFAzCQF5VHgYM9PDpwdRhU3ll7SuU1ZU1ZpaI8IhgTsocPtn+CX7OfjjEXMLHiS8B8NOenxkcOJj7Eu7jj9Q/eGDJAwS5BPHiiGfxrS5nu6WCKwKG8lH67FbjrbXW8um2T7k09lJIhv3l+/l026f09utNRlkGCzNUQcS7Eu7i3n73UmmptGufUpLCD7t/4KPe9+KQtYWApIUYNs7jwcFX8vqeH7i1x9Ukl2WSU5nD90kqm8WC9AUMCBiAj7MPC9IXEOYWxosjX8QdA4H1VuqT5hCclEiFTxQ7e9/Hvbs+pR6pNvAH3kyEdyw+Zh8Kq5u8x0rra6nw7sI566bS07cn0+MmE/zNNY0Z3z2WvYF7ZQmv9ryF/9v+AQXVBbiYXJgWfwuRRheIPE1lqrchz3gSH9dQgrHSRZiJ8ohib8leu2v3w0ivlJW8MOI5DpRnEbCztYhxYCNc8KYSibmPQkUeblYrrg6udrOoST2vZ3FVMVGY6FVagXn/VsjdAQ17UgFx0O96lRli8zcw8kEVRuDoCgun2Z9z32rI2gzxl8CoB2HRs02fObmrasBrP1aiEjkKQgfgFBuLKTAQS05TZWL3cecg2xKo0szWefzyk6C+pvWx7cXoqPbZ6lokYDaZj7xPzb8GLVBHQO8wT7r4OJPRzJ38hUt68fmqdDydHXju4l5U1dWTUVjJ/pJKIn1dyS9vmhm5mFxwMjoxOGgwM3fMZEPuBn5L+Q1fsy+Xd7uceN94HA2OvLf5Pe7tfy9f7voSgLMjzm4Mhm1gbc5aBgYNZH662tgfGjyUHtnJmH69He8rZ2L++RYuO+cpZmNf3nxw8GDe2/Qe/mZ/Hh30KFZpxWK1sDG3KTN2rFcsER4RPL3yaW7p3fRLvZtHFE+Hn0dk1nbcUpZjcA9Wv4Qr8rnUPYbhsdcjDK4sMZn4O/Nvu/Ouz13PHX3vYEH6AjLLM/kj5Q+cjY48UliKU+InAJgt1fiED+C5QVMIrK1Rv9AXTCUUyXvjnuWdvNVsLtzJsOAhXNz1Ql7Y8SkvjnqR+enzqc7aYFeOBEBs+pIBbkF86z2MXBdvvADp3ZP6VW+DZwiMeULdZB1cEEYngqtLCSw4QE5Adx5LuJu7lk9pTFZ7VuAQeu7fhkvBXv5OXcDq/E1cGDCW0N3YE9gL5jykBOqyj5CzH2F5RSYPDXwIgzBQZakixDWEBWkL+D1Vufs/Fz+ZS5zcoctQJVDeUTD0LvDvrjKRWyrBJxryU5UXYFul7WvLlHNEv+vALVC5sPv3gD5XKo/H4gw1E0tdApV5GHz64XPjDdTs3k1tWhrO/fphraikevNmzNEtZjBt1X0yOSkPyCPFKwJGP6bCChoI6a+EuYHsbSq3YHmOCmIOH9xxVYM1nQotUEeAu5ORly7rQ0peOU4mI1F+LvQJ8+THxEymXRjPq/N2k1FYSa9QDy7rF8bWzBIu7dcUZ9LFowv39buPellvl0aooLqAz7d/znPDn+PhlQ9jMpgQUtA/oD+pJamEu4cT7RnNprxNdlm9nR2c6evfl/GxlxHrGkZmyt+E9Z+E44o3oaaUvrsX8elpr5NSnc/+8v308I2jpLaEl0a9xItrXqSstoxXT3uV2/vczkdbP6Je1uNr9mVS/CQSs1X6nq35Wzk36lzmp83n5S4XEvvHw03LQA7OqubPwqdxra0iNH0tstd4EgxtuE9j79Cxp3gP93e7BqdFNwNQE9SHWf0v5aXdX1K3pw5fsy/Te91OP2mFukrifn+I/0adRtrQKbyVPptdxXtwMDpQXJTCcJdwTOY2kpI6ukFNMUGr3yMIwL87c7yCOTdnh5oBNKfPlYiVb2Lodi5mzyAGz36E7y78LymVWZjN3kSWF+I7/xkKht/BmqzZlNaWsszFhUtC+2Pev0H14d9DFQIsVUUc5bqPsUyYwa6MP3GsL2fmjplYpIVu3t2Y3Gdyo0D9Z893DO3zIEHZ29XeUffz1P7SmnchRy154tMVLnhDzbKixzbNtEDNOvxtmfHdAqDftdBnosoYsfFLCOqrXMoLUtTsq7oYhj5B4WezEY6OOISGUvzTz1hLSnDu3bv19+jfAxKuhU1fNtmG3K4Cg48Ug0HVigqIUw4YvtHQZbhyjAHI2QGfn6/GCmpP7oqZKhWU5l+PFqjDpLCihsW78nj8l23U1qsb8MAIL16+vA9XDenCjZ8nUlWn1vW37S+lvDqNoV19Wbm3ACEEkX6uWKWVON84qi3VjAob1VgXCCDQJZBdhbswCiO39b6NNTlrcDI48eDAB1mWuQwPJw/u63cfCzMWsjV/Ky4mFyLdI3my3/18tesbpmYswGgwckPMeK61RmNy8eb7LvG8v3wKtdZazgwbw9CQ4STmJDJ9/XSqLGoWWFxTzNrstbwx5g225W+jvK6cgqqCxpnDkn1LGBw0mE/GvkfXhS/Z71HUValf5r6xSPdgjH0m4pC2nOiqQvr7xLPBtp8EEOUZZbcXNChoEH7CpG6u9XXsSRjPszub4okKqgt4fOfnfNl3Ar6JM0BKnFP+JjT2THr49GDWnl/5vNuNeP31EsbidOp7XoQ8+wVEQ1FIgMGTG4NvAegzkbXFyQyMPh3/lgLlGwPbfkSsehsv7whEeS6Wukpm7FvE5oKtBLoE8vSlb+BpcKIkTdWoeiHpK9Jjz+W6obcRUlujivc1KwgpcnZgKM8mxjuGZ1Y17eMlFSUxJ3UOCf4JbMrbRFltGTXlOSrdUb/r4Pd7oO9VTeIEKnP4rtkqfVH/SWr5M2mumlmd8aRyiGhOQ6okry5qtvP1RBVEe/5/YO0nmLZ+gN9Nj5H92pvU7VOBvcJsxtwrnlYIg8pRecaTamZocoY9C9SSY2Bc6+Pbi7OXqhXVVr2ozHVN4tTAXy9A1Gk6W8UpgBaowyQ1v4KPl6c2ihNAYnoxOw6UUmOxNopTA2kFlVyUEIKrk4lfNu7ngbO6sb1gO/nV+fyx9w/OjDiTbt7dVIYGgyOeZk9Ka0q5LPYy/kj9g/TSdB4Y8ACPL3u8MbZnyb4lPDroUUJcQ7ig6/ks37eEMLMPm4p2cWHYaDYX7+HjpG/pPuARXKvLeGt7UyHDhZl/EefXG39nf0aGjuSvfX/h7eRNWkkaG3I3MKJoBDmVOfy651cEgpdGvcRve38DYG32Wu6Kv1ktI7Wg3uiAcdjdGH68EcOAG2Djl3jWVfLsGVP4w6s7fxVtZ3jAAOIC+zFt1TRMBhOXRF9MZV0lyeWZdBvzJGz+miwsrfrOrNhPQeBomi8w7TUIPt72EW/HTcb359saiw8at/1EXW0FRRdOx5C9hfyAHhgD4wnL24lzUQbWnhewMyCa0Jo8Fhnzuajb2bgkzVeBpQnXKGeEBscBaaWk16U8lfw1O22l63Mqc7h33fN8cdp0uzF+lT6Xse7RhAhntawWGK9mbgc2QMyZGJIXkxPcOrvCqgOruCTmEjblbeL88DNx94rAUpuEqSRT3fgL9rT+I8zaAL2ugB+uhwE3qhmFo7sK4K23tM7fV1Nhi/WyecrlJ6nlvss+hh2/4hXjjMf/bsFS60pllsScMARzjx5QVQJ1FcohA6A8TwlSy1IaXVsnVD4kVcVQUw5u/v8c89TW/lZdlV1hS82/Fy1Qh0llrdpbasmB4ipq61tvLDs7GIn0dSW3tJqFO3O4fXQ0ORU5LNm3hHi/eEpqSvhm1zcqTgg4L+o8zo08Fw8nD35I+gF/Z3/2ldoHngLMS5vHA/0fYG/xXu6JvoztORv5whSB967VFIYPYk3cOJYUbqeHZ1e7dnf2vZOdRTtZvn85Xdy7MHXoVOrq63gt8bXGuk+9/Xrz655fifSMJLkoiQf6P8DctLn4OvtSWF9JRvxFRJVmqSUoSzXs+pPKrqfj/s1V6iTVJeqXfSVElOZxl08kN4ddhHD24cXMlTwx5AlcDU50qalietpv9HIKRe6di/CKYLhvb2I8otjTrGpuoEsg3gZb3JWDC3WjH2W9oR6jMBJZW2tfGRdwSJ7Hmtjh/Ld8EwX5i7jFeAvrXa08Gncn9UJyzeonGRo8lISABF4JieLc+DcZiDOmFW+opTMbFbKerJjR7Nz4il3/FquFzIos/jviJb5J/gGzwcSkrpfQZ96zSuQu/0SVnagphbOeB+8ocg+sxamNm3GcbxzeTt7cEHcdQ3wTyCrPwWfTV8rJoXCvmlUk2e8f0nWMqpvl6q+W/L69WqUqSrhGzWrcg1Rmc7OXshelws7f7Puw1isxM5gQs+7ECBgBp2F3QfdrIX01VOarch8mF5XAt7oEek2AJS829WMwqnNlJqrvztlbVfttK9WRlKp8zdwpSiR7XgSnP9KUhb2BmnLI2gQFe9U+nNGhMdM8ACPv1+XjTxG0QB0mAW5OjO7uz+yt2XZ2q4RVewu4JCGUXzc1VUu9/8xY6uqtZBZXMjLGD7PJgKPtZutn9mNe2rxGcQJVWXZM+Bi8nbwbBUMIQUuEEMzPmE+4eziuVaUMWfE+RtvN1SdvN2cGxmMe838csDYllx0WMoz1OetZk60CY3cX7eb51c9zW5/b8HTy5OoeVzMrZRaXxVzGh2eq2kXbC7czP+VPXou6HL+0leytKGK9yUB4/+sxJX4CJmdqxz5FpaUa94YT7fhNJcU1OsDKt6F0P2YHZ8rHTv3/9s47PKoq/eOfMzWZ9N5DSEIIhEAgofeOgFIExIqKYkUUdUVxFV1ZWQs2FHXFtfzsKIvYaFJEauiQhARSSO/JpE2/vz9umDAE3UVFg3s/zzNPJue2955M7jvnnPf9vmRVH+WL3DWohIqVve5nefgE9F/cKienRg/CkPUNn4VPYk1YPU9lf4Cb2o05SXPIVnvge/2/MWl03HP8TVocZm7qcRNa4Ss/DCWHc80HQyBllnqqTXKhQbPdTHb9KayNpeSp5C8Ru0t3k1GdwYioEXzTkEtcxGiCWkPCAfAMJl0Las8AvHXe7fKofAxB9K2roFfYWIo9/Oiq9kAbkiwX5vthOUT3l7/9b3gEaczfyAzsTE7tUYZHDncGjvjqfZmZMJP3jr/HpJjxxLQ0EHFiE/S7FXw6yWoSTZXygzxrnfyAT5ggh5nnbZfXmH54Tg6K6DMHNv61beo1KBHix8mqEXFjZGfW4PqZResGxz53bdv9GnSbCqd/hB+el0t3RPaDUYtB6ynnXw1/SBYJdvORgxYaSuGrBW1BGxFpMOu99vp+lVlyufkzgsdHP5Xzt2a+0ybfJEmy8z2ThOwdIUdDZn0tK7P3nSfnYin8T6A4qAsk1EfP1f2iabHY2Zpdia+7lgcndOWjPYUcLa5nREIQ949LwGxzkBzuw+vbTnKwsJ7Fk7oxMiEIIQQRXhGMihqFj86H1NBUUkJSsDvsfJD5ATMSZlDZUklZUxkP9n2QfaX7iPSKRCM0LqOoCTETMNlNeGg8UDVXojrrmz+Atvw4nW120ptLSApI4nj1cXoG9uSNI2+47GdxWPBz82NmwkzezXgXs91MpFcky/YtI7c+l8cHPM6cuE4Efn4LSBIJdUXEJ4xDs61tVKH7+n6CprzWdlKzEUz1SBn/RhhbnbW1Bc/vHuaZ2e/xj6L17CjeQY6jiYFHPpO/8Uf1lxM2kT+UVwYlEjf2b2xvyOWfR/6JWqXmwbQH2Zj7Je46D9KLD9BgquOW5PlIcWMQOCCgC+xZyekBt/He6c/x0flwbfdr8df7s6D3PfjY1QQ6zGhUGnx1vlSZqthWuI21aYvxO70HacwSkBxYNHq+aSlmaebb+Oh9eLTvIoqayzDZTejVetyElhhJh7augHSDG1H2Zjy+egiuWY3DYkQVliw7af/OMG4pInMdkeOfYE/GWyQFJnFXyl0EG4Ipbijmyd1P0mRt4njNccq7zGRBRF+0ei85KXfwArlEu9YdUm9EUmkRkgO2PQvjn5anWne+DMmzZOWJs9cFK7NkRQaNG9jMsirFunvaRiJhKXIi8LlIEjSWuYaoF+2FPW/C+KVyEMPWZfIXCkuj/DcbvcQ1orA4XZ4qPddBVeW4qPED8pShsbgtuKM2X3a0ZzAWw9o7ZWmmkO6/vPKvwiWJ4qAukB9OVvO3dRk8fWUPpveJpL7FQv9OvuzMqeZocT1bsyvZml2Jv4eOl65K4WCh/I9r0KqJD5HHGF38utBsa2bhloVUtMgBA756X/426G+8fuR1cura5vjv6HUHYYYwlo9Yzob8DTRZmxgeNZxA90Aqmisw2U3U6vw434SHBVhfsJ6nhzxNSVOJrJiu9WpXyqPaVE2oRyizEmbRL6wfPxT9QG59LkMjhmK2NuN9YLXz4Vfb51rCdrzc7lpScTrWtLlo978tC5oGd0f88Fy7/ZqrsmiyNvHYgL8y2C0cSXyHSJoG+1yFVlWVWcQ0G3m9JoNR0aMI9wzno6yPGBo5lEC3QKbGTyXVZMbjk+vb1iPUWhwz3yPDXM6c7nOI8Ynh8Z2PO0c/4R5h/GPQkyzqt4jypnI6eXeijy6AgE9udCbUAmgnPkeLdyg2hw1JkihuKeflg233fHns5UwpPoEpqj9GczGd8vdCwmVUCgg49gVkftl6s9VQdgxpzBIqmyu4IekGwjzCqGyupMXWwptH2yI4AT44tYaroq4kavMTMP2fUJIJUX1lR6Q1yA9v/1i4/BVQAafzZCfm30UWfj279Prsj2RHcXyNPAoZNB+ueAOEHdRuYKqF/B/kEV9Dadtxfp2R6k7Tbsx+ajO0PCgHJ+i95ERiQyD2a7/CUlKFGP0eOlUxKmu9/Fk5jxQWbt7nafNxdTrWZnnUdi6NZRCZ2r5d4U+N4qAugGaLjde3nWJW3yge+OwoNU1ybtP1Azpx3YBoOgUY2JxVQUKIFzPTInlo9RHnscHerusPu0t2O50TyFF01aZqF+cE8M7xd5jddTYFxgKGRgxl4+mN/FD0A139u9JobWTtqbXkhA7koa4T0Z1oiwZs6DoBq38nFvReQE5tDnvL93Kk8gg3Jt3IK4dece6XEpTCaeNpjlYdpaq5imNVx6i3yE41JTiFH4q3cZWtdaHaM4S91jrGeQZz7vdYq3c473jqiQh5gv7e8QTn75QX189Mu7Vi1HlwoOIAbkLNxLBxmNJuxlB6+LwPJbXNwswuM/k853MkSeLV3n+h1mFi9vf38NKYl/Deu8J1sdxuRZWxhh6dh/B5xU6yarJcpuZKmkr5vmQnX5z8wll6/f5edzJH54k4y0Gpdiyn6xXP89zw5/AQWhbuWORi17rcdUwa9jxrTq5lWpdpiPyDkDgRi8OEKmud603YTNg1btyzewkmuwmN0PDM8GcwnTuSQJaXUjlssvxS3nY4uQm2/R0Sr4C4EYjtz8j9OeyhVuX1tgRjRv1VdlDGYug9B059D/v+KW+ryZVHQVd9AB/MkEuUnNwoSyiNfky+TtE+WcU9bpQcIn8ugV0BFXhHg9UEg++lxeSPo9KOtdaBUGmxBfVFa9yJfs9jch2raz+F4G5t5whJkqcdT7aJ8TJuqRxheAbfaHl0lr/jrI4xyKNjhf85LrzO8/8wAoFeo0atEk7nBBDopWf2P/eQV9XEosu6cl3/KB7+4igl9SbUKsHdI+Px1rt+F8iulcObwzzCmN97Prf1vA21qr1ChclmQqfW8X3h91SZqggVOq6LHoddsvNexnvUm+v5tOA7VkXEUTfxGep6zSJ39CO8HxHP2sLNxPnE4ePmw+bTm6lsqSSnLofHBz7Orcm3Mr/3fGJ9Y1mXuw6DxkCLrYWs2iwGhA3AS+tFdUs1eysOUtB9smyMZwjbqw5yMuky1+grj0DKQrpRY2lEHdCFHTTzdXAnmic87fLt2Dr4XtbUZwGwu2I/5UFxvNmQSV5IVxznVl/VGjih05BnzOOO2Kk87PDB+/Obidy8lG/6LUYntGgs7YNVsJrINnigUWsobCxst7m4sRh/t7bSEq8ee5uinudc29rCwYr93Lf1PhpszTRaG9udp8LWxPqS7byfs5qmxElQX4wJCfTtc4LqtW6Y7LJDskk2Psn6hFifWMLPkVq6PXYq4UdbZX+szXKF2+lvQeoNcvn2M85erXZ1TgA/vggjHpETWJNnwMH3XbfbzG3lS9JXyetaNpOsTB6eBgPvlvfZ8CgO705IcWdF5mkNcjLz+1dA/jb413g4/AmOFhtljz1G6QMPUrLwfiqXLcMWOEiOXqw/LedenT3t6BEEV7wsl/u44hW46Vu59MzZ6L1g0gtyNV6NG4SnwnVfQFBCu35V+PNz0UZQQoi3gclAhSRJPVrb/IFPgBggH5glSVJt67aHgbmAHbhHkqT1re2pwDuAO/ANsECSJEkIoQfeA1KBauAqSZLyL9b9ALjr1NwxPI4jxXXONo1KYLLI3+K/OVZGRqmRqb0jeHB8V9w0KlRCUN9sxXCOgxoZNZIthVu4vvv1LE9fjk2ycVvP2/DUero8EEdEjWBfmVybSCVU3IkvdZK8yH82r+Wt5WTMOJo81dTVH8Rb701nvSc2bGhVbarU3+V/R3JgMu8cfwerQ16P0Kl0jOs0jhifGNRCzYDQAfi5+RHkHsT3hd/zXPVeHrjsKTplbmBMcBr3ZL3HE+MfJ7bFiE2lRhXYlWBJ8NGJj/DUebKtaBvZtdkEugXwytSX6FZXhtpmQntqC6N6XMbXJdu4Lfk2alQq0quOsirrA55Kuo1hHv74ZX2L1T+Wwt6z2WerYm3Ov5nm3Qe3XXL9KnVVNn4FP3JswhIqekwh5ORG1z9S4mSKG0s4WnWU6fHTyah2XZtL8Etg8+m25FaT3YRFZ3DZx9L3Fnq5hzExfAgn6k7Szb8bmTVtVZS1Ki3hnuEkBybTbGvmb0Xf8XDCNTg0OkoG30n45rYoN2t4b9abXUeRVaYqvsj5gscGPsbxquMUGvMY7hZGWu5uRG2+vFPXibJKeelBOQDk7EjFc6IWAVmCyFQL/W6T84PcvKHxnFHamXIcNrOc0wSyA7E1wb4PwFSHI6w/lf9aS/C8RxG9r5Mj6nwiYMvTcj5S2VGQJOyjnqBh5b+w5Oe39eXxDExHDuEx8q+w/iE5Ys9ucf0y4x3WloT7UwQlyJqCTZVy4cXzTQ0q/E9wMaf43gFWIDuRMywCNkuStEwIsaj194eEEN2B2UASEA5sEkIkSJJkB1YC84DdyA5qAvAtsjOrlSQpXggxG/gHcNVFvB8AhnQJRKdR4aZVYbI6sDkkvNzkbowP9mRiciivbTmFxe7Ax13D+3P7EeLj5qLfZ3PY8HPz4/GBjztVBQA+zPyQO1PuZF/pPnLqchgYPhCD1sC3ed+yoPcCwjyCqfC2ENbSQKghlMMcdrEtxBBCZHAk+8v3U9ZURpRXFB9mfkgXvy4EG4KdCbLvZbzHg2kPUm2qRpIkugV0Y+Xhlc5R3daAraSFpvHKwVe4o9cdrDm5hhnZbzMyagh3h/fnIXdfMloqOK71JcotkP7ZG3ETGnoF9WJ9/npmdp3J8+nPU2Wq5ur0p/go4WZ6bJEf2j2Sp6FX6Yn2jqaqsZQrO0/icNURHj3+BqEeoYzqNZ7Lo0az31TGqqOruCN2KkE73nb9I9gtxLQ0sLh8Jy/OWIVh7yqESoXocSXsf4fklCsxmo3UmmuZGj+Vr3O/RqPSyNGAtdkuwrmDwwejDutFc9fxGIxlSF3Go6vNpe/2Z+mWMI6jib3wc/NDp9ZxuPIwEZ4RXNvtWlpsLfjofbDaraSFD2CvpZrNJzYwv/v1tEx5Ge+6AtTekZhDe/D0prku5k+Jm8K/jv2LcM9wkgKTMJnrSBTueDVVI3UegUicBLteg75z5am4tFtc7x8hj0zP1q/rPBwqc6D3NRDWU46i/ObBtu2+0XJeFchh4K25TFJgAlJob1RB+7D6pNJY5YdhSG9UHgHwwXTXEvFqbVuOlaWRliNH2/1/tBw5AiNnyTJLPab/8tpOGr1SlVfh4jkoSZK2CyFizmmeAoxoff8usBV4qLX9Y0mSzECeEOIk0E8IkQ94S5K0C0AI8R4wFdlBTQGWtJ5rNbBCCCGk86pc/na4adXUNJl5dFJ3tudUUl5vwl2n5pkrk/F005JVamRCj1B2nqrixatSePqbLA6criMlyocFYxIYFBdIRnUGDoeDCM8IZz0okEuvP7PvGf7a/69cnXg1Wwq3sOX0Fm7veTvL9i5zKp3fFjuNmfHT2V683akE4av3ZXjkcBZsWeAUIz1SdYSrE6/my5Nfcmvyrewo3sHRqqP0CupJlFcUq46tok9wH+yS3emcAI5XHyc1JBWtSssL+1/g2eHPUtNSQ4x3DA12E29nfkBmnbx/Z89ouoeOwr+pjobmPMI8wihvbAubB2igzSEIN1/uS7sPgaBZsrC9fB+3JN/CN7nfoFfr6e3XlfDKk+zzMGB1WGmwm+Upo7MflIBNraHe1oxG543UbRIIFTbvSIp7TMXhEcSr/RbzUs6n+Or9+PuQv+Pv5s8/9v6DaV2mUWOqIa8+jwFhA5gSP4XLN85jSsxlPNZpKLrtzzoj0jyzN6AecjfPpj/L0IihzOs5Ty4qeXAF13e/nh3F8jrJnrI9LBvyNLvK9/Jj+W76hfQjxCOE3bkf8rfgx7mvz318mfslTdYmJsRMoM5cR7eAbpQ3lWO328lvLmNDYCBDh99PJ2MF2oJdiD43yA4o5Vp5RDTuKTnsu6VWjtib8Tb88IIcrdd9iqyv5xMtj5JsZki8HDyCoXCvHCUZ1hPW3A7JV8GAO+Sgg97XIYK741D7YNL3wFpWjntSKPr4ONBqYfqbsPpmeXSmcZNLgBx4F0Y8grqhEI+BAzAddv2S5JncGWpzYfILEHoeuSQFhQvg9w6SCJEkqRRAkqRSIURwa3sE8gjpDEWtbdbW9+e2nzmmsPVcNiFEPRAAVJ17USHEPORRGNHR0eduviAkSaK+xcbjXx6nR4Q3/gYdP+ZUER/iyaodeVjtEt3DvHnjuj4s+OQwRbWyA9mTV8vCTw7z1pxUNHoNDslBdk02k2Mn82HWhy7XMFqNlDSVoBIqFvdfzKM/PupShuON3DUM94jmjSHPcLKlHISKGO8Ysmqy2tUb+vfJfzOr6yyW7lnKhwP+hj7xehqxM2fTbUyOnczwyOHtrg+yWnmkZyQZNRlUNFfwcdbHLOizgH3lWU7nBJDXeJqvHfVcHzecop3fcE+fe1i4ZaFzu7fOmyiTvFZk6XoZXzbmcryllFkJs3h4x8PUmevw1fsyLHIYVoeVaIsNEdwda0MOnb07s7poCzP630L0hsed53R4hXJYI/hX1zm4fXSVs4yESqXBd8Yqnilcz6OeSbwQcyU7dSqWpy9nQucJVJmqeGbfMwwIG8DIqJEUNhSSXZtNakgqbg47un2r2gmwRpqb6ObfjW1F25z5S3q13pmjdnY/p4aksqdsD7vL5I9yn4AeRAs9C468zrDIYbhr3Fl3ah0B7gFEekXSJ6QPGdUZFDUUMS2gN/Fr720Lyz/6KVz9KdSegh3LZfWFwffKUXyewbKgasxQObIvcx18dJW8XtNlrBwgMWi+7LiSpsrnMzfALZvlAIhzRjVqQJ3YDbfEbi7tdBkH87bL+UceweAdBXoP+PYvsPXveE7+FnNWJo1b5fUwn8tG4eF5GnZ/Ikch+v66/zUFhY4Sxdc+E1WuI/pT7T93TPtGSXoTeBMgLS3tV42wKhpM1LVYCPTUcaxYjhBbNj2ZRV+0TXd0DvSgosHidE5nKDOayKku5rXse9GpdEzvMp3xncZTY6phU8Em/Nz8uDrxatbnr2dE5Ahsko0ma5OzKCHIpdNnJswkx+CHubmEQ5WHMVqMXJN4DY229ov5WpUWm8OGWqhxq8qh88alHJy4lCtiryA5KJmM6gx6B/d2UTEHea3mk4pPiPSMxFvnTYuthaqWKrJqstpdY09DLim6sTw99GmazE0kByVzuPIwXf26clfKHehKT1A5/XV2Y8FP705fWyR6jZ5ZXWdR0ljC+vz1fHlKDs0eO+gpDrTIgQwzEmaw+fRmnqjZwyNTXiS6Mpc6vYF0d3dOChtTjqx2rXHksOGdvZFxSeP40ViCxVbLsoPy2tWn2Z9yd8rdfJX7FbtKd9ErqBeTOk9ixcEVPDbwUfaXpVMX3Q/f2jyXe7MZy3iwz328cWwVu0p30dm7M/N6zuP5/c+77KdTaVgQP4tX1Hq2Ff/A8JC+3OvXGy9zI2a7mfX5bWoQc5PnolVpKW8up9Zcy5CIIXRqNrY5J2hVK6+Tp+nO3OOmx+Uk2fAb5JGSpRHW3i2rLgBkfyuvWSVNh89ulEdZNfng7g1BSRBwbgHC/4KAWPkFUJElj8JaizyqyvYTeutEbOPiEQK01dtRZ7UGb9hMYDWDVinfrvDL+b0dVLkQIqx19BQGnImzLgLO1uyPBEpa2yPP0372MUVCCA3gA9RwkdGqVKw9VML1A2Mwtlipb7FS29w2upncMwxjixW9RoUQ7eu+FTefdFa9ffHAi/xj6D+I8opiTtIcjBYj7xx/B7tkR0JidfZqRkeNZljEMPaU7UGSJG7ucTMvHXjJKeI6JGIIXjovntz9JPf0vocAtwCnggLAtYnX8uWpL7kr/kpiDv8bTU0u0foApidMZ9XRVfQO7k2kVyQDQgc4v/kPjRiKxW5hcb/FHKs+xrpT65jbYy4RHhF09e/KD+cU8RsVNQqbw8bKwyvJq89jcMRg7u1zL356P0qbyqn1D8VoNqISKvKqMukd0psHt8lrYJ19OnNf6n28uP9F7JKdFiEIMATw7L5nqWqpYnjkcFKCU1hVl8PUpMkYG0rIaS4h1b8nZP3Y7u8jLE30Ce6DJwbuOLHK2d5kbeKNw2/w+KDHabI2ISGhERqe6/9X+m15iUFR/ZBSrsVRnomqTE4PMPaajSeC6H+O59mBd1M2aBmeLUayVVrqzhIwFQhmJMzgo9yv8dS48dqgp+iVsR7P3W+x87InWDZkGZ9mf0qTtYkZCTOIbZWfMlqMNFgasDls2O3nBD5o3aH8WPsig0c+lRNzQZYwOuOcztBQJkfCDV4gh5SfCd/vdoUc5RdyzijpQqjJbatAHBBH3Z7T+Ax0w/3IU677RaTJa1yWJogb+cuvp/A/z+/toL4E5gDLWn+uPav9QyHEcuQgiS7AXkmS7EKIBiHEAGAPcAPwyjnn2gXMAL6/2OtPAP6eem4fFsdfPj+Cj7sWX4OWvjF+zu0JIV4s35hN7ygfruvfifd3Fzi3zeobwJ7qf7qcb1vRNmJ9YmmxtXCi5gR39LqDAPcAjlUd48akG8moycBD58HcHnPx1HnyWfZnTucEsKN4B48PeJxv875Fq9IyN3kuhQ2FVDZX0i2gG9Fe0dzR40b6VJegLT9G5dglfFNzmMyaLHoG9cRsN3O86jg9AnuQEpIil3GXJPqG9uX+bfdTZ64D5HWWW5NvxaA2MCZ6DJtPb0ZCYmTUSMI9w/Fx8+GulLvIqc1BIzQEG4J57MfHnAEgvYN6MzJqJL1CerFk1xJnBGFefR4fZ33M1PipdPLuhJfOi5LGEipbKpkcO5lIz0gyazKJ9IzEaqpn1MZlSEPvILHomBwUcep7l/60dJvIm0feZIlZT5JHpEsU3609b+XRHx91ToOGe4Tz2IC/YneY8frxRdj5MtXXfc7JmgyaJBtGjZ6p254DScJn5yv47JQ/evYpL/PSqJf4/vT3mO1mhkcO55VDrzlz2L4q2MA/U+4nLX4MtUj8X8a7eGo9CTYEE+UZxbHKYyw/sJwr4q6g1lxLelk6V/R/Uo5YM7fmbTWWy1p65yC5+SDORLVp3ORovHOdmFeonPh8dm5Z5pfylN+vcVCewc63klcUph+LsBQUE3blvWiPvCqrVPhGQ58bwFgoV/ONGdpevFZB4b/kYoaZf4QcEBEohCgCHkd2TJ8KIeYCp4GZAJIkHRdCfApkADbgrtYIPoA7aAsz/7b1BbAKeL81oKIGOQrwdyEt2pd3b+5LbmUTHjoNsUEeXNsvig/2FmK1O7h7RCz9Owdgbl2PMujV+LprON64nm+P7XU5V6hHKGqVmpSgFGJ8Yngu/TnqzfVc3fVqDlUc4khVW7LvFbFX4O/mT1696zRUs62ZIPcgzHYzz+x7Bn83fwLdAlEJFUhyvajXmk+xaOxTfKCzsOpAmxJ3z4CeDI0cyquHX3U5Z7Ah2OmczvB/mf/Hm2PeJMwzjLGdxqIWarYWbuXZ9Gd5YuAT/H3P36lsqWRS50msy13nIs10sPIgl8ddTmFDodM5neF0w2lu63UboYZQFv2wiET/RGYkzKDR0sjrR15vO0dgL3p0n8xInwQ0310rl9G4/CVZu02okVKu4YOGU3yZ+yUP9l3CrKZyNur3Umeuo3tAdw5XHnZZoytpKuFw1RH8xz5GwuanUZ/ejbkqi+qgWJbsWsL98bNkR3EOvmoD2wu3E+AewPHq42wp3NIuwfqjyn30Kymh59D5XN/9erJrszlScYQthVvoH9afybGTKWosYlD4ILYXbefOwy/w2az38Dr8oTz6SJgAYb1aRXdbJwaEgEELsKs8UYNcGmTgfNj5UtuFu4wFoXYRvXXSWNm+7UJw95flk3a8gCg7hPfQOyh/5V3qUnviN3EVwtEMXmGo01+VQ8Xt1v98TgWFn+FiRvFd/RObzqvNL0nSUmDpedrTgR7naTfR6uB+b7IqGpn/0UHsDnnAlhjixRNTkogO8CAlyofyehMHC+t5buMJ5xTftf2jmZrWj7dUWucD2lvnjafWk5cOvMS8nvN49/i7ztGRr5uvi3MCWcHgyUFPsr98v0u7Awfzes6jubWSrNluZlqXaaw7tY4NBRtICUphXMw4DntH8/5ZAQwalYYbkm7gg6wP2t3j2aHYZ2N2mHn3+LucrD+JzWFjdtfZzO46m3ePv8vE2Im4qd2w2C1sLNjY7tgWWwt6dfs1CU+tJ4FusnRTZUslVcVVrBi1ghO1J4j2jkan0lFtqibCM4Lnak7QkPcZV459hNRDX2CwNELfW8Dh4JStiRdy5ICPvVo1ow0hrOz3GCctNQR6hPHiWXJFZ8g35mMKG8jpy1+gqHg3zR4BrD25lmVDluGwW7AmX4X27AJ9KjXVXoH4Oyr59MSneOu88fL3andeu90K1iaOVx1jUcY/CfMI4+F+D5NRlcH+8v3sK99HvG888b7xeGm9KG4sprSpBK9uU+TSGHtel8t2XPEqVJ1AaqlHCk2l4qsDBN4+EgwGOdih780Qliyrg/vGyDlSOi+IHeVazBDA71cGLdTkysEWsz+Epko83BIJDw7Ds3416nVPy/sIFVyxAtYvlosjKqMnhV+B8um5QLLLjTy/IdvpnACyyhs4VdFIWowvOrUao8nKGz+cwsdNg7tWQ3mDiQ/2nGZ89368NuotMmsPoxIqmq3NrDrWtk5y9tSddJ54DwkJvVrPDd1voLypnEZrI8mByRwqP8SsrrMwWoxoVBqu7HIlbx55k1qzHJp9qPIQZc1lPDnoSRfHM7bTWFZnr6aLX5d2QRKRnpH4u/lTY2pb1pvddTZ2u51wr3CyarMYHDaYypZKPj7xMQC7y3aT4JvA7Sm3M7xhOBtPuzqpKK8ovs79mqnxU/n3yX8D8vrN/N7zOVBxgHjfeAB89D6UNZfxysFXnP0wKHwQjZZG1uXKUkKbC7fwYu+7GP3N4/DVfaB15+S4h53nVOk82aZX8fCOh2myNuGn9+Oabtdwota1Nnu8bzzlzeWY9N58UXuUQe6DCPEIYWfpTsI8wvgqoiujpNn4ZK5D8omkZviDbDGeItg9mGBDMJk1mUxPmM76/PUuf7NrgvpiaRao/eOY13Mebmo3jlUf42TdSb4vlKcly5rKOFRxiAV9FvDaodfws9mgYJOc+wRySPnHVyP1uobKggSq73mIoIUL0fi1TinbTLD3Tdj1qrzuZGmElBtg3JNyMmxjubyOpXWX86LC+7T7TF0Q7n7yuT65FiQJvVqHbspKxBdnqVpIDrkcx+UvQcGPkDhZcVIKvxjlk3OBmG0Oyupb2rX7eejYfaqWb46V0ivSl9evTSW7vIHaZisJIZ5klzVQ0WgiWhtFg3kHapXaZfpKIzSohMpZyr3WVEuUVxSFDW1yPX1D+/J13teM6zSO7UXbifCMIMA9gDjfONLL02m2NPPssGc53XDa6ZzOUNZURnVLNeNjxjsr+EZ5RckVXYNTiPON41TdKQCSApLIN+bz5KAn2Va0jeLGYgaGDSQpIImcuhyGRwznQNkBpsRP4S8//MXlOtl12TRZmpgYOxEJic2nN+Pv5s/83vMpbihmSvwU9pXu457e96AWaroFdEOHDpW/Ch2CaxOvxYGDVw+96vLA31myk7tS7nK51qqSLQzsMg732nxKht3HoYZsbu91O5GekazLXYdAOKf0as21hBhCmBY/ja9yv0Kn1jEzYSZ2h51dpbvoE9yHkVEjWfxjWyVeg8bAfan3sb93N5L630aZ1ci7uV/SO6Q3mTWZXNvtWpbsXMLn2Z9zf9r97C/fj5AkZof0J7KpnvSuo1m2/3lnFOZLI1/izSOuArGN1kbcNe4s67uIIJ+uUJ5JOxrKMWU6CLz9Vnwun9zWXn0KdrcWozS3CgAffBd6XwudBsraezW5cimLsJQ2JYlfjAS7VrRF/tgtiOrs9rsZi2U188oT7bcpKFwAioO6QIK9tUzuGcYn6W3pWX2i/diQUc6ag3KY8PCEIBZ+epgyoyw1IwQ8cUUS0f7u2B1WoryjyDfmu9QZ2nR6Ezcl3cTbx95GQmJNzhpeHf0qX+d9TXZNNr2Ce6FX63nn+Dt09e9KvjGffGM+6eXpPD7wcbr4diG3PpdTdaeI841rZ7daqAk2BHN116sZEjGEOlMd0d7RhHuE8+bRN5kaP5WxncYiECQHJqMVWqx2K+M6jUMt1BQ0FLA6ZzVmu5kh4UNY1H8RdZa68/aRhMR9W+/j6aFPkxqSio/Oh2CPYJbuWYqvzpd7U++lrKmMk7UnKTAWYNAaeHrP0+jUOu5Inkdn3zg+yvqo3Xlt50j8SEKFecRfcJgbyTCeZHPhZupMdYyPGU+f4D5OR3yGpXuW8sywZ+gT3IdqUzVqocZb581rh1/jitgrWL5/ucv+zbZmjBYjFpsFq6eDz3M+x9wqnJvgnwCS7HSKG4tx07iRFprGoYpDvFu8lay6k9yQdINLikBGdQZu6jZdvjMIBEH+XcAvTlZf2Pemqwhu0jTCPDPRRPkiQkPP6hBT+wAJgNbkbfxj5NdvRXN1+7BUjZ524aqdR0DhHlnfTxk9KfwKlE/PBWK3q5jdLxqbQ+LLwyUEe7lxz+h4bn5H1stTqwRqlXA6J5D/d/9vdwF/m5JErdmIu7s7Bo2BB9Ie4O1jb5NvzMfusMsirTovmm3NaFVaalpqqGupw8/Nj00Fm5wPu7PXccx2M0azkWX7ljnbrkm8hpkJM/ks+zNn2009bqKooYgYnxi+OvUVO0t3EukVycLUhSzfv5wvcuRy4JM6TyIlKIUXD7xIamgq7hp3WmwtJPglEO8bz1e5XzE0YiiLfljEwLCBDI0Y6hJ2Hucb57SvqrmKfWX72Fm6k1ifWO5OuZsmaxNP7HqC3Pq20hCXdb6MON84DlceZum+ZbzdfwnDQvqyvXyfcx+N0KA7p4TDDd1u4HRpOnZrMwsz2kaja0+tZUaXGYzrNI7j1cdd+iq3Lpdor2gKLAVsOr2JfGM+o6JGoVFpnKocZ9NoaWRA9ACu+/Y6QC4UeaDiAC+PfBlJkrDYLWTUZJDol8iZINIgzzBmdbuGpXtcl1S/yfuGOUlzXGpyJfonEugeyKIfFrFq3Cp8I1JhzleQ/i9ZMDZ6AGLv62jLj0HiOQKwfrFySHdxelubd4Ss/G23QflReW3KzQdCe/1nDbz/hG+UXEPq7C8K2Rtgxjty8m5juVztt8d0WeooZsivu57C/zyKg7pA/Aw6tp2oZHz3YOYMjEGjhnKjGY1KhcXuQKMSWGztv9XWNlux2iV0+gYcQoWHxoMaUw2PDXyMYmMxCCgwFhDjHYNeo6e8qRyNSsOsxFk8tP0hZw2nUVGjOFHjOnXSYHGt7/Rh1oc8MegJ+of2p6KlApPNxJ7SPbx19C1GRI7AoJXFUYsaili0YxErR68kz5iHl9YLk92E1WGlb2hfthVvc4kYvDvlbm5KuonV2asB2FW6i9ldZ3NT0k1kVmcS7xdPrE8s+8r2yaMTvTe7Sndhc9jIrs3mkR2PsLj/YhfnBHL5+nnJ8zhcKcvmfF2+lweCBqJXadlUuosIzwhuSLoBd407U+KmUGuqZXqX6QwMH4g4voY19vbRad8Xfs8dve5gZsJM1p1ah1al5ZbkW0gvT2d1zmqmxk/lshjZMe4t20tGTQazu17F3/a05fSohAo/Nz/qLfUsTFtIk7UJh+Qg1juWNTlr2FK0BYDkwGT576bWIyTBsapjjIkaTa3JdZo10D2QviF90ffWU9pUSoBbAOEe4TRaG8muzaa4sRjfwCToNEhe7/lqYVuV3C7jITLN9SYNfjD1NdjzBmR/Jx83+F5Z3DVnA3zYprJBp8Fw5VtyCZRfSkCCfI4v58tTip7BcrmOmMEQPUAOa/cMkcPflZGTwm+A8im6QNx1amwOB/P+Tw4qEAJemd2bm4fE8Pq2XMw2B74GLSohl4E/w6TkMNz0zTy66wGqTdUEugeyuP9iXj/8OmOix5BRk0GIIQRvnTdZNVlISFSqKvHUevLEoCeoNlXjq/elxdbCYzsfc5433COcJlv7WkqljaXE+cbxr2P/cplm2lq0lbtS7mLT6U2APG1W0lTCi/tfpNkmRwF667x5ctCTeOm9sNqtqISKRmsjH2V9xNLBS9Gc9fD5+MTHeOu8uTPlTkINoZQ2lVJjqmFh6kIckoORUSPZUCDX/zHbzc41trORJMmlrH24T2c6B6TwhG8cs7tcybbKg7yw/wVabC2khqSyOPlO4hsqET+8gBSYgO95IgNDDaF4aDyI9Ihk1fhV7C3di5fOi7SQNDp5d6LZ2oynzpOle5bycL+HOVKezhD/ZO5KuYvtRdvx0HowLHIYn2R9wriYcXhoPXj9sDxK06v1LOizgGJjPo9EXUZEXQnaxmYO6W1UeUUxJX4KUWoDy4c/x3P7l3PaeJoB4QOYHDuZd46/Q3JQMmGeYSDB13lfMzF2IlqV1vnFAZDrKE19Dapz5HIXwd3AcJ6ylEFd4bJnYOTDcqkPjQ6aqlwVKEAOWCg9/OsclFoDSdPk9azmarnY4ZmquV6hP3uogsIvQXFQvwBPvYb1C4bQYLZhs0v4umvRagT3j0sgv6qJKH93Vl6Xyorvc6hqtDC9TwQjEgJ5aM9VTpWHqpYqHt/5OMuHL+e9jPfQa/RkVWcR4RnBp9mfOqPnxnYay4ioESzdsxR3jTtLBy/l8QGPc6TqCH5ufsT7xrP6xGpX+7SexPrEUt5c7uKcznBuHpLdYXc6J5AVDg5WHmRTwSaKG+V1tSivKKbETcFL58WshFkuoe4tthaivaJ5eMfDzkKA3xd+z7ye8+js4yqv46n1JMIzwnlegMsiR6BvXXMJcAugX/gACE7haMlObtt4m8vxZquZ+PIsxJfzARAJE0juPplYr2hyG04D8nTg5LjJLNm1hCnxU/Co9iDAPYCK5gpWHFqBp9ZTVq2wtSAQBHsEo7fbiawtZEnhl8T7xdNsbebZfc8yKXYS24u2MyJqRJsNdjPp5em81GkqkesWOtdfRnmFM3DWO9yX+TY7S3cyNHwoD6Y9yOHKwxyqPESBsYAdJTvYUbLD5Z5SglO4p/c9RHudEwbu31l+/SfUGrnW0hmszXKF3XM5R3D3F/Pf2qWg8CtRHNQFUm5sJibQwMptuXx1pJQgLz03De5MbKCB7zPLeWhCIhUNZhb9+wh9Y/xJDPWmrtlKXYvFWe7iDEaLkcqWSsZ2Gsv6/PXc3ONmXjn0ikto98aCjQyJGIJA0GJrIbs2mw+zPkSv1tNolXXelo9Yjv8pf34s+ZEEvwTmJM3hYPlBvHXepAansr+izZmohMplDWtYxDAXRfUzFNQX4KVry+8pbCjEz80Xh9nI+xnvc3/a/RypPIKb2o1E/0TqTHVO53SGL3K+YGZCW6raoPBBfF/4PdPip1HcWExufS5jQ/oxtroUvOJx9L6HKK8oUoJTAPDX+8vKFq3RfGqh5s0+9yM+ndN2kezviHLYeW3oQxxsKaPS2ohNsvNB5gdYHBY+y/6Mu1LuQpIkuvp1xU/v5xLhOCJqBBEeEVyRdAMBRz7j6cF/Y/XJf1NnrmNO0hwaLA2cqD3B2E5jXe4t0RBO+O63XIIDREMJutIjpAangoAdJTtIDkzGz82P3sG9SfBNaHd9kKMm+4b2PW/Byl+EZygkz4TDZwWaCAGBStE/hUsLxUFdIJIk8cm+Iv59SJYELK038fS3mTx5RRLzR3fhm2Nl7M2robbZyoaMNhWCtBg/NELjVFeI941ndPRo/Nz8EAjGxYwjqybrvGKsZys6WBwWVELlMjI6VXeKiuYKruxyJYUNhTy47UHskp35KfOZkzQHm2TjcOVhAtwCeCDtAQL0ATzS/xG8tF44HA4Km9pXnk0JTmHFwRUubRZrM+m1WRyrPsax6mPE+cZhtptZl7uOh/s93O4cdoedOF85DyjWJxatSovaaiKrbD/DvTpxly6SkM1Pg6WZ8vhxvHroVRL9ExkVPQqdWodKqLi++/XyCLN1Ws1hs7QpK5zh5EbC48fwjUHNh1kfUtXiKmhf3VLNvrJ9DI8czlODn2LNyTXkGfPoH9qfMZ3GsPLISpqtzaS6hzHIWElaSBq15lq+yPkCo8XIhJgJHKs+5nLO1IAeqFrOqVMF1DaV4eOdgF6t54G0B/DV+3Kq/hQHyg/w2YnPmJM0h5cPvuyc6pzRZQZ9QvrgqfNsd65fjEYn5z057HBstTz9dtmzENrzt7uGgsLvgOKgLgCHQ6KiwcK6w64VUiUJ6pqt2OwS0f4G6lssTO4ZRpSfgRarjde35WJssbEw9S88m/40QyOHEuYRxqpjq7A5bMzoMoNacy1Gi5G+oX3ZXuRaztugMTjFTXsF9eLtY64PRg+tB0eqjrRTnuji14VqUzU3dr8Rk8OEXqXHaDGyNnctX+d9DUD3gO7MSpjF7T1v5+MTH6MWaq7pdg0alcZFqgggwTee43Un5W0OmzNvyl3jTrRXtDPi7ww3dL+Bf+z9B5Utlbw55k0e+fERhvkn82BdI55bX3VK4ZQPWcBTp1azbOgyjlcfR6fWUdNSw8KtC/F18+XulLuJ9IzklUOvkBucxmO9rkaktyU4o9JAYDxd9Br6BPdxrnmdwd/NHzeNG9He0ST4JxDuGU5hQyEljSWsO7WONSfXkBaSxvfmejZWH2V6l+mkhqTSI7AHOpWOAPcAHJKDEzUnsNgtXNX1KrSe4VhSb0S3tS16EqEi3yuA5/c/z209b8Nd686/jv+LfGM+g8IHcV3361hzcg13pdxFiCGEcM9wEvwS8DlPmfhfTUAcTFkBoxaDxgBewf/5GAWFDobqjzbgUqLBbMNNqyLc173dNl93LTGBBrLLGzhUWE9uZSMVjWY+3FvIfWMTiA/ywFbbh5dH/JMJMRP45MQnzrye/eX78dB6sK9sH/1C+xHjHQPIU1pze8x1hkL/fcjf8df7Mzm2LVkz1COUQLdAkgNdi8P1D0ohHA2lTaV4672J8IhAJVQIIZzOCeTcnIMVB+kd3Jv5vefz2IDH+DDzQ4oaipgaPxW9Wk+wIZi/Dvgr5eY6NhVs4raetznLyOvVev6S9heKG4tZNmQZl8VcRp/gPvx1wF8pbSqlsqWS0dGj2VK4haqWKr4o3sLrgQFkjllMy2VPUzHzbZ6ynGZryXY2FGxgUudJgKyTV9BQwOHKw6w4tII8Yx7FjcWszl1LRbeJSNP/CSMfRZqwDOnazznhHcL87+fTI7AH4R5tgQAjo0ZyuuE013W7Dk+dJxqVhnxjPvdsuYeixiJnGYz8+nymdZnG4eqjvJ3xDgKBRmiI9Y3F7rDz3vH3uKPXHYyKHsVn2Z9xw/ob2OcXjmXkYvCJxBqWQs6kZTx1+mtabC1EeEawbM8yak21JPglsKd0D7tKdhHlFUVVSxVjO42lb2jfi+OczqDRg1+M4pwULlmUEdQF4KnXUG2H+8clcNeHZ2nxhXqRHOnDo2uPOWtEFVQ30+l0HUPjA3ngs8O8dUMaJ8rNdAmNIte42+W8ecY8ru52Nd/mfcuLB15kcuxkJsRMIDEgkfy6fMI8wkjyTyLUI5QTtSeYGDORPsF9qGiuwGgx8siOR3igz72MDU7jx+qjDPOOZ1SLFY/mery0Xnx24jOu7nY1we7B7C3b2+6+Dlce5sakG+nm141n9j9Dtamaj098TKxPLFcnXo27xp0GcwNFjUWM7zyetafWMjd5Lg7JQSevTmw5vYVDVYeY12Med/e6mypTFT+U/EC+MZ9bk28l3jeeh354yHm9dwu+413ggdQH0AgTWyvlNbID5QdoTpSDNTy0HuhUOpdCjRqVBkmSKDWeJmTj36C5Ri4KlnoTvv1vRSVUvHLwFWYmzKSrf1f5eLuFWnMtn+d8zqDwQfi7+zsVziubKwn3DOdk3UlSQ1P5MPNDbk2+FZtkw+awEeAegJAEz6Y/y/iY8bx++HVKmtpGz7cfeo6Vo1eyX9VImbmW9ZlvOANQjGYjtyTfQo2phqLGIoYmDaWooYhR0aMIdAt0jdhTUFA4L4qDugDUKkG9zQEOB+/e1JeC6mYMOjUxAR6YrHY0KsFr1/ah3GhCJQRWu4MWix2rXSKvqonSehNmu6w8fi5HK46yqN8icmpzkJBw17jz9J6nmd97PhnVGXhqPWmwNtAvpB87S3eSW59LoHsgtaZaHuxzL8OLjxN26FNuCoiHI1vBaqLkmuE0mQoYHDGYPaV72F26m9HR7bV6kwOTWXloJUWNRUztMpWvcr8C5Kq6ufW5XNnlSrr7d2dr4Va89d5Mi5+Gv96fGnMN2bXZxPrFEmAIYEvhFmJ8Y5i3cR4BbgFEeUXxyYlP6B3cmz7BfThQccDlumaHGavUFlHYPaC7c1ox2iuahWkLWbZXnkLbULCBW3rcwumqDLqnv++6DrX/XwQnTuLOXney4tAKZ4XgWQmzOFV/iv3l++nm3w2tWh71JfjJwQJbCrdwb+q9LE9fTo2pBp1ax4pDbetuc3vMxWg2YrababQ04q33dnFQAFXNlbh5R/DVoTXOtvGdxhNoCOStY285A1B2FO9gevx0rA4rnX2VCDgFhf8GxUFdINuzK+nX2Z+lX2dyrMSIXqNi3rBYRnUNYt6wOB5afYQGs/yQ9TNoeWaGvDBt0GnYll3JlDQ93h7e9Arq5UxM9dX7MjFuInduuhNfvS9CCPmBqdKhU+vIqM7gUOUhhoQPYUDYAJqsTRQ2FPJV7leEGELwULtzRexYOLJGlpjReWCb9Dw/mioI8whjfcF6dhTLoc1xvnH0D+3PnrI9AER6RTK9y3Rn4qiHzoPR0aPZfFpWwu7m3835cK8yVVFlquLDTDkR+GjVUb44KStQ+On9eHb4s4A87VdtqnaG1GfVZLF0yFIW71hMeXM5KqHiyi5Xkl6eTo8AWag+xBDCkIghBBlk561WqZkWP43uAd0paigi2BBMrHcsUmghut3j2v1dVA2lXNvjWnoG9SS3PheLzcKu0l2yPl6rIO2ZqMSU4BTGRI9h0+lNvJ/xPvel3oeXzosA9wAOVRxyjtoKGwqdxRx/KP6BBX0WcKLmhDOqMMAtgAS7xGlTHf8Y+g9Km0oJcg/C6rDSYGloFx35Ze6XzOo6Cz83PxQUFP4z4neo8dehSEtLk9LT0//zjufB2GJlb141q/cX8d1x1zpBa+8azKodeXx5TgDFvGGdOVJYz7UDOjH/o4Pcf4WK0IBGDFoDkiTJ1XMlibWn1pLon8j/ZbaVdpjbYy4bCzZyujW/55pu1zAmagw3b7iZqxOvpn9of/RqPd/lf0dufS7TYiYy3BCBn8qN9+uO8+qRlcxNnsvKwytdbBodPZqJnSfSbG0m2jtaDgY4S0Yorz6PsqYyWmwt+Oh8KDIWUdZShk2yIRByBViHnTlJc8iuzcZoMRLjHUOCfwJLflxCjG8M7xx7h2pTNeEe4dzd+27ifOLYdHoTKqFCJVRsK9pGZnUmL498mVP1pzBoDUR4RDAsatjP/xEszfDZHFkp4WzmrIPO8rHlTeXk1udysu4kzdZm+ob2lfUFW0dQIE/B5dbnYrFbiPGJIdgQjCRJZNdmc7z6OCabiXpzPeGe4RjNRjJrMilpLOHyuMupaqnCR+9DP4eO2C/uwBg/ioIeU8hROfjk1FrcNG5c2eVKF+FZkPOz3p/4Pj0C21WPUbj0Ef95F4ULRRlBXQDuWjV+Bh1bsytJjvAhMcyLzRkV1DRbaDRZKTea2h1zurqFxZO6Me21H+ka4km94xA+dj+e2vOUM9R4cPhgpsRNocBYwKJ+i3BXuxPiEcJbR95yOidvnTfDI4YT5hlGvG88H2V9hI/Ohw8yP3DKIB2tOsq8nvMwW81sL9nO9d2vp5N3p3Y2bT69mWnx00gKSCLCK6Ld9s4+nV0SbButjTy661Hn7yqh4p3x7+Dv7s8A9wEux5ocJt46+haTOk/CQ+tBramWg+UHSfRPJMAtgLeOvUVVSxVuajdu63UbFruFBksDXXy70Cuo13/+I+gMMOZxqMmTVRZUGhi+CEJTnLuEeIQQ4hHCwPCBP3kab723M9/qDEIIuvp3pat/VxySgzpTHQatAYvdwsCWgagkFWGeYbhrW4NkKrIgsAveWd+QfOI7kofcz5jhLyDc5PpOQe5BLukAU+KnEOfTXshXQUHh/CgjqAvA2GLhx5NVaNVqduVWkVPRyLAu8pRUtJ+BzDIjL2xyraz6/MxefJ9Vjq9Bx4juGnbXrGZb0TbKm11HYHel3MXe0r3M6zkPlVDxxqE3uD7peucDLsorCrPNzPDo4ZQ0lpBZk0mtqZYndj3hch69Ws/i/oudckhpIWn46H2cU3YAPQN78vKolwlwP490znkw2Uykl6fzcdbHGDQGrkq8il5BvdCo2n+/SS9LZ+6GuU7nqxZqVo1fRc/Anqw4uIIWewteOi/sDjtHK4+ydOhSAt0CXeST/isaK6GuAHSeckj1WaOj35XmGqjNk/XnAuLlyLlWDlUc4uvcr8mpy2Fk1EiGhg8l1i/2j7FT4WKjjKAuAoqDugBqmsxklTa4lNIAuG5ANL3CfQjxcWN7ThUf7ytEpYJ5Q2MprG1mSq9wDDoNX5x+gYERA/nL9r+0O/eSgUuI8Igg35hPuGc4z6Y/S74xnwjPCOZ0n4O/mz89g3rKGm6tbCzYyMKtC13O46H1YMWoFdy64VZnwMH0LtNJ9Et0hpMPiRhClHfUBd//uZp558PqsHK08ijf5X2HEIIJnSeQHJiMRqWhqrmK3WW72Va4jR6BPRgeOZwYn5gLtuNSw+awndeZK/ypUBzURUBxUBdASU0zO3OreWC1a0KsVi1496Z+7C+owWR1kBjmjdnmYOXWk5yqbOLZGckkBHvh467FXd/Ekj1LXPTYVELFytErCfMII9o7mqqWKqx2K/WWetRCjZfOi0D3QPQaV1HUQmMhN62/yWU09mDag0yNn8q+sn18X/g9NoeN0dGjSQ1OJeB8YqMKCgq/BYqDuggoX+suAEnwkyMIo8lGQogXd314ENtZMuZBXnrCfdwJMGiRVCpCvEO4teetOHCws2QnQe5BLExdSKRHJNG+slhoiEcIAJFE/qw9Ud5RvDH2DbYWbuVU/SlGRY2ib2hfvPXejO40mt7BvQHwd/f/De5eQUFB4fdFGUFdAOX1LRTXtXDHBwcoN5qd7df0i6bZbOXWYbFklTXw2NrjNFnsBHrqeHp6Mp0D3LFJkBgqqwZY7Bby6/NpsDSgU+vw1/kT4dM+WEFBQeGSQRlBXQQUB3UB1DaZyS1vxCJJbDheTlZ5AyO7BqFRCTLLGrgiOZwwHz0tNjtmm4MQLzesZhtBfu54uev+8wUUFBQuVRQHdRFQpvgugBarHbuAJpOVIfGBGHRq3vkxj/6xgQxPCKSi0czQru1VIhQUFBQULhxFLPYCMOjU5FU2sWpHPhszywjzdefhid2w2Ow8+u/jxAYq+moKCgoKvxWKg7oAfA16PN007MqtwdegI7u8gWXfnqDRbOON61PpFqI4KAUFBYXfCmWK7wJJ7eRLarQvr2/LJdrfQP9Yf4bGBxLsocXNze2PNk9BQUHhT4PioC6QUB8Dz83sRXpBLdWNZhLDvIkN0hPi9RtWRFVQUFBQuPQdlBBiAvASoAbekiRp2X845FfTOciTzkGKQ1JQUFC4mFzSa1BCCDXwKnAZ0B24WgjR/Y+1SkFBQUHht+CSdlBAP+CkJEm5kiRZgI+BKX+wTQoKCgoKvwGXuoOKAArP+r2otc0FIcQ8IUS6ECK9srLy3M0KCgoKCh2QS91BnS97u500hiRJb0qSlCZJUlpQkJJIq6CgoHApcKk7qCLg7LoRkUDJT+yroKCgoHAJcak7qH1AFyFEZyGEDpgNfPkH26SgoKCg8BtwSYeZS5JkE0LcDaxHDjN/W5Kk43+wWQoKCgoKvwGXtIMCkCTpG+CbP9oOBQUFBYXflkt9ik9BQUFB4U+K4qAUFBQUFDok/3MFC4UQlUDBBRwSCFRdJHMuBpeavXDp2azYe3G51OwFcJMkqccfbcSfjUt+DepCkSTpghKhhBDpkiSlXSx7fmsuNXvh0rNZsfficqnZC7LNf7QNf0aUKT4FBQUFhQ6J4qAUFBQUFDokioP6z7z5RxtwgVxq9sKlZ7Ni78XlUrMXLk2bOzz/c0ESCgoKCgqXBsoISkFBQUGhQ6I4KAUFBQWFDonioH4GIcQEIcQJIcRJIcSiP9qeMwgh8oUQR4UQh86Etwoh/IUQG4UQOa0//c7a/+HWezghhBj/O9j3thCiQghx7Ky2C7ZPCJHaep8nhRAvCyHOV17lYtm7RAhR3NrHh4QQEzuQvVFCiC1CiEwhxHEhxILW9g7Zxz9jb0fuYzchxF4hxOFWm59obe+QffynRZIk5XWeF7L47CkgFtABh4Huf7RdrbblA4HntD0DLGp9vwj4R+v77q2264HOrfekvsj2DQP6AMd+jX3AXmAgct2vb4HLfkd7lwAPnGffjmBvGNCn9b0XkN1qV4fs45+xtyP3sQA8W99rgT3AgI7ax3/WlzKC+mkutXLyU4B3W9+/C0w9q/1jSZLMkiTlASeR7+2iIUnSdqDm19gnhAgDvCVJ2iXJ/+XvnXXM72HvT9ER7C2VJOlA6/sGIBO5knSH7OOfsfen6Ah9LEmS1Nj6q7b1JdFB+/jPiuKgfpr/qpz8H4QEbBBC7BdCzGttC5EkqRTkBwIQ3NreUe7jQu2LaH1/bvvvyd1CiCOtU4BnpnI6lL1CiBigN/I3/A7fx+fYCx24j4UQaiHEIaAC2ChJ0iXRx38mFAf10/xX5eT/IAZLktQHuAy4Swgx7Gf27cj3AT9t3x9t90ogDkgBSoHnW9s7jL1CCE/gc+BeSZKMP7fredp+d5vPY2+H7mNJkuySJKUgV+ruJ4T4Oa29DmHznw3FQf00HbacvCRJJa0/K4A1yFN25a3TCbT+rGjdvaPcx4XaV9T6/tz23wVJkspbH1AO4J+0TYt2CHuFEFrkh/0HkiR90drcYfv4fPZ29D4+gyRJdcBWYAIduI//jCgO6qfpkOXkhRAeQgivM++BccAxZNvmtO42B1jb+v5LYLYQQi+E6Ax0QV60/b25IPtap08ahBADWqOebjjrmIvOmYdQK9OQ+7hD2Nt6/lVApiRJy8/a1CH7+Kfs7eB9HCSE8G197w6MAbLooH38p+WPjtLoyC9gInLE0Slg8R9tT6tNscjRQoeB42fsAgKAzUBO60//s45Z3HoPJ/gdIoiAj5CnbKzI3yDn/hL7gDTkh9YpYAWtyie/k73vA0eBI8gPn7AOZO8Q5GmiI8Ch1tfEjtrHP2NvR+7jnsDBVtuOAY/90v+z38vmP+NLkTpSUFBQUOiQKFN8CgoKCgodEsVBKSgoKCh0SBQHpaCgoKDQIVEclIKCgoJCh0RxUAoKCgoKHRLFQSn8zyGEuEL8CnV6IcS9QgjDb2mTgoJCe5QwcwWFC0QIkQ+kSZJU9UfboqDwZ0YZQSn8qRBCxAghsoQQbwkhjgkhPhBCjBFC/Nhaw6efEOJGIcSK1v3faa3Rs1MIkSuEmNHaPkII8dVZ513Retw9QDiwRQixpXXbOCHELiHEASHEZ62acwghlgkhMlrFUJ/7/XtDQeHSRnFQCn9G4oGXkNUAEoFrkNUMHgAeOc/+Ya3bJwPLfu7EkiS9jKylNlKSpJFCiEDgUWCMJAv4pgMLhRD+yPI9SZIk9QSe+i1uTEHhfwnNH22AgsJFIE+SpKMAQojjwGZJkiQhxFEg5jz7/1uSBUszhBAhF3itAcjF6n5sLZSqA3YBRsAEvCWE+Br46ifPoKCgcF4UB6XwZ8R81nvHWb87OP9n/uz9z5RHsOE6w+D2E9cSyLWCrm63QYh+wGhkoeG7gVH/0XIFBQUnyhSfgsL5KQC6t6pT+yA7mjM0IJcuB9gNDBZCxAMIIQxCiITWdSgfSZK+Ae5FrnmkoKBwASgjKAWF8yBJUqEQ4lNkNescZGXrM7wJfCuEKG1dh7oR+EgIoW/d/iiyE1srhHBDHmXd9/tZr6Dw50AJM1dQUFBQ6JAoU3wKCgoKCh0SxUEpKCgoKHRIFAeloKCgoNAhURyUgoKCgkKHRHFQCgoKCgodEsVBKSgoKCh0SBQHpaCgoKDQIfl/ZMfmMpOA3IIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 439.75x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.relplot(data=df,x=\"minutes\",y=\"Price\",hue=\"Total_Stops\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8427e56c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}