international-air-traffic-eda.ipynb

{"cells":[{"source":"<a href=\"https://www.kaggle.com/code/adityaramachandran27/india-international-air-traffic-full-eda?scriptVersionId=136168502\" target=\"_blank\"><img align=\"left\" alt=\"Kaggle\" title=\"Open in Kaggle\" src=\"https://kaggle.com/static/images/open-in-kaggle.svg\"></a>","metadata":{},"cell_type":"markdown"},{"cell_type":"code","execution_count":1,"id":"b9f57315","metadata":{"_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","_kg_hide-input":true,"_kg_hide-output":true,"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","execution":{"iopub.execute_input":"2023-07-09T08:20:53.470151Z","iopub.status.busy":"2023-07-09T08:20:53.469364Z","iopub.status.idle":"2023-07-09T08:20:53.484644Z","shell.execute_reply":"2023-07-09T08:20:53.483724Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.033807,"end_time":"2023-07-09T08:20:53.487016","exception":false,"start_time":"2023-07-09T08:20:53.453209","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["/kaggle/input/international-air-traffic-from-and-to-india/Airlinewise Monthly International Air Traffic To And From The Indian Territory.csv\n","/kaggle/input/international-air-traffic-from-and-to-india/Citypairwise Quarterly International  Air Traffic To And From The Indian Territory.csv\n","/kaggle/input/international-air-traffic-from-and-to-india/Countrywise Quarterly International Air Traffic To And From The Indian Territory.csv\n"]}],"source":["# This Python 3 environment comes with many helpful analytics libraries installed\n","# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n","# For example, here's several helpful packages to load\n","\n","import numpy as np # linear algebra\n","import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n","\n","# Input data files are available in the read-only \"../input/\" directory\n","# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n","\n","import os\n","for dirname, _, filenames in os.walk('/kaggle/input'):\n","    for filename in filenames:\n","        print(os.path.join(dirname, filename))\n","\n","# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n","# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session"]},{"cell_type":"code","execution_count":2,"id":"922affd3","metadata":{"_kg_hide-input":true,"execution":{"iopub.execute_input":"2023-07-09T08:20:53.518441Z","iopub.status.busy":"2023-07-09T08:20:53.517767Z","iopub.status.idle":"2023-07-09T08:20:54.92265Z","shell.execute_reply":"2023-07-09T08:20:54.921362Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":1.422823,"end_time":"2023-07-09T08:20:54.924939","exception":false,"start_time":"2023-07-09T08:20:53.502116","status":"completed"},"tags":[]},"outputs":[],"source":["import seaborn as sns\n","import matplotlib.pyplot as plt\n","sns.set_style('darkgrid')"]},{"cell_type":"markdown","id":"f2b1f6bc","metadata":{"papermill":{"duration":0.013796,"end_time":"2023-07-09T08:20:54.953155","exception":false,"start_time":"2023-07-09T08:20:54.939359","status":"completed"},"tags":[]},"source":["![](https://gumlet.assettype.com/swarajya%2F2022-03%2F30db98a9-0eaf-4e71-be44-14081ba9d0fb%2F122_2.jpg?q=75&auto=format%2Ccompress&w=1200)"]},{"cell_type":"markdown","id":"9ae72863","metadata":{"papermill":{"duration":0.01393,"end_time":"2023-07-09T08:20:54.981519","exception":false,"start_time":"2023-07-09T08:20:54.967589","status":"completed"},"tags":[]},"source":["<br>\n","<h1 style=\"font-size: 42px; font-family: 'Roboto Mono', monospace; font-weight: normal; background-color: #e9f7ef; color: #8f52a4; text-align: center; border-radius: 150px 150px;\"><b>International Air Traffic:</b> EDA + Data Visualization </h1>\n","<br>"]},{"cell_type":"markdown","id":"d50a4715","metadata":{"papermill":{"duration":0.013487,"end_time":"2023-07-09T08:20:55.009029","exception":false,"start_time":"2023-07-09T08:20:54.995542","status":"completed"},"tags":[]},"source":["## <font color='#8f52a4'>Table of contents<font><a class='anchor' id='top'></a>"]},{"cell_type":"markdown","id":"ab0046d3","metadata":{"papermill":{"duration":0.013749,"end_time":"2023-07-09T08:20:55.036522","exception":false,"start_time":"2023-07-09T08:20:55.022773","status":"completed"},"tags":[]},"source":["<div style=\"border-radius:10px; border:#e7c6ff solid; padding: 15px; background-color: #f6f5f5; font-size:100%; text-align:left\">\n","\n","- [Summary Of the Dataset](#summary)\n","- [Preliminary Analysis](#preliminary)\n","- [Cleaning the Dataset](#cleaning)\n","- [Exploratory Data Analysis](#EDA)\n","- [Univariate Analysis on Categorical Variables](#EDA_Cat)\n","- [Bi-Variate Analysis](#BVA)"]},{"cell_type":"markdown","id":"9999601d","metadata":{"papermill":{"duration":0.013644,"end_time":"2023-07-09T08:20:55.064335","exception":false,"start_time":"2023-07-09T08:20:55.050691","status":"completed"},"tags":[]},"source":["# <span><h1 style=\"font-size: 36px; font-family: 'Roboto Mono', monospace; font-weight: normal; background-color: #e9f7ef; color: #8f52a4; text-align: center; border-radius: 150px 150px;\">Summary of the Dataset</h1></span><a class='anchor' id='summary'></a>\n","<br>\n","<div style=\"border-radius:10px; border:#e7c6ff solid; padding: 15px; background-color: #f6f5f5; font-size:100%; text-align:left\">\n","    \n","\n","The dataset on international flight data to India provides information on various aspects of flights operating to and from India. It includes details such as the year, month, quarter, airline name, carrier type, number of passengers to India, number of passengers from India, freight to India, and freight from India. The dataset offers insights into the volume of air traffic, passenger movement, and freight transportation associated with international flights to and from India.\n","\n","##### Summary of the specific columns:\n","\n","- `YEAR`: Represents the year in which the flights occurred.\n","- `MONTH`: Indicates the month in which the flights took place.\n","- `QUARTER`: Indicates the quarter (three-month period) to which the flights belong.\n","- `AIRLINE NAME`: Specifies the name of the airline operating the flights.\n","- `CARRIER TYPE`: Describes the type of carrier, which can be passenger or cargo.\n","- `PASSENGERS TO INDIA`: Reflects the number of passengers arriving in India on these flights.\n","- `PASSENGERS FROM INDIA`: Represents the number of passengers departing from India on these flights.\n","- `FREIGHT TO INDIA`: Indicates the amount of freight transported to India on these flights.\n","- `FREIGHT FROM INDIA`: Represents the amount of freight transported from India on these flights.\n"]},{"cell_type":"code","execution_count":3,"id":"7ad50e35","metadata":{"_kg_hide-input":false,"execution":{"iopub.execute_input":"2023-07-09T08:20:55.095202Z","iopub.status.busy":"2023-07-09T08:20:55.093887Z","iopub.status.idle":"2023-07-09T08:20:55.150812Z","shell.execute_reply":"2023-07-09T08:20:55.150166Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.074161,"end_time":"2023-07-09T08:20:55.152552","exception":false,"start_time":"2023-07-09T08:20:55.078391","status":"completed"},"tags":[]},"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>YEAR</th>\n","      <th>MONTH</th>\n","      <th>QUARTER</th>\n","      <th>AIRLINE NAME</th>\n","      <th>CARRIER TYPE</th>\n","      <th>PASSENGERS TO INDIA</th>\n","      <th>PASSENGERS FROM INDIA</th>\n","      <th>FREIGHT TO INDIA</th>\n","      <th>FREIGHT FROM INDIA</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2015</td>\n","      <td>JAN</td>\n","      <td>Q1</td>\n","      <td>AIR INDIA</td>\n","      <td>DOMESTIC</td>\n","      <td>258876.0</td>\n","      <td>274220</td>\n","      <td>3320.626</td>\n","      <td>4186.302</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2015</td>\n","      <td>JAN</td>\n","      <td>Q1</td>\n","      <td>AIR INDIA EXPRESS</td>\n","      <td>DOMESTIC</td>\n","      <td>95581.0</td>\n","      <td>116600</td>\n","      <td>0.000</td>\n","      <td>0.000</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2015</td>\n","      <td>JAN</td>\n","      <td>Q1</td>\n","      <td>INDIGO</td>\n","      <td>DOMESTIC</td>\n","      <td>68112.0</td>\n","      <td>74212</td>\n","      <td>320.000</td>\n","      <td>1812.000</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2015</td>\n","      <td>JAN</td>\n","      <td>Q1</td>\n","      <td>JET AIRWAYS</td>\n","      <td>DOMESTIC</td>\n","      <td>320853.0</td>\n","      <td>332116</td>\n","      <td>4173.874</td>\n","      <td>5383.515</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>2015</td>\n","      <td>JAN</td>\n","      <td>Q1</td>\n","      <td>SPICEJET</td>\n","      <td>DOMESTIC</td>\n","      <td>37882.0</td>\n","      <td>42468</td>\n","      <td>0.000</td>\n","      <td>115.680</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   YEAR MONTH QUARTER       AIRLINE NAME CARRIER TYPE  PASSENGERS TO INDIA  \\\n","0  2015   JAN      Q1          AIR INDIA     DOMESTIC             258876.0   \n","1  2015   JAN      Q1  AIR INDIA EXPRESS     DOMESTIC              95581.0   \n","2  2015   JAN      Q1             INDIGO     DOMESTIC              68112.0   \n","3  2015   JAN      Q1        JET AIRWAYS     DOMESTIC             320853.0   \n","4  2015   JAN      Q1           SPICEJET     DOMESTIC              37882.0   \n","\n","   PASSENGERS FROM INDIA  FREIGHT TO INDIA  FREIGHT FROM INDIA  \n","0                 274220          3320.626            4186.302  \n","1                 116600             0.000               0.000  \n","2                  74212           320.000            1812.000  \n","3                 332116          4173.874            5383.515  \n","4                  42468             0.000             115.680  "]},"execution_count":3,"metadata":{},"output_type":"execute_result"}],"source":["df = pd.read_csv('/kaggle/input/international-air-traffic-from-and-to-india/Airlinewise Monthly International Air Traffic To And From The Indian Territory.csv')\n","df.head()"]},{"cell_type":"markdown","id":"8381a15f","metadata":{"papermill":{"duration":0.014363,"end_time":"2023-07-09T08:20:55.182213","exception":false,"start_time":"2023-07-09T08:20:55.16785","status":"completed"},"tags":[]},"source":["# <span><h1 style=\"font-size: 36px; font-family: 'Roboto Mono', monospace; font-weight: normal; background-color: #e9f7ef; color: #8f52a4; text-align: center; border-radius: 150px 150px;\">Preliminary Analysis</h1></span><a class='anchor' id='preliminary'></a>\n","<br>"]},{"cell_type":"code","execution_count":4,"id":"3092e88f","metadata":{"_kg_hide-input":false,"execution":{"iopub.execute_input":"2023-07-09T08:20:55.213227Z","iopub.status.busy":"2023-07-09T08:20:55.212863Z","iopub.status.idle":"2023-07-09T08:20:55.218852Z","shell.execute_reply":"2023-07-09T08:20:55.217807Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.023936,"end_time":"2023-07-09T08:20:55.220697","exception":false,"start_time":"2023-07-09T08:20:55.196761","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["(2334, 9)"]},"execution_count":4,"metadata":{},"output_type":"execute_result"}],"source":["df.shape"]},{"cell_type":"code","execution_count":5,"id":"740dd83c","metadata":{"_kg_hide-input":false,"execution":{"iopub.execute_input":"2023-07-09T08:20:55.252248Z","iopub.status.busy":"2023-07-09T08:20:55.251508Z","iopub.status.idle":"2023-07-09T08:20:55.275932Z","shell.execute_reply":"2023-07-09T08:20:55.274964Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.042612,"end_time":"2023-07-09T08:20:55.278335","exception":false,"start_time":"2023-07-09T08:20:55.235723","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 2334 entries, 0 to 2333\n","Data columns (total 9 columns):\n"," #   Column                 Non-Null Count  Dtype  \n","---  ------                 --------------  -----  \n"," 0   YEAR                   2334 non-null   int64  \n"," 1   MONTH                  2334 non-null   object \n"," 2   QUARTER                2334 non-null   object \n"," 3   AIRLINE NAME           2334 non-null   object \n"," 4   CARRIER TYPE           2334 non-null   object \n"," 5   PASSENGERS TO INDIA    2333 non-null   float64\n"," 6   PASSENGERS FROM INDIA  2334 non-null   int64  \n"," 7   FREIGHT TO INDIA       2334 non-null   float64\n"," 8   FREIGHT FROM INDIA     2334 non-null   float64\n","dtypes: float64(3), int64(2), object(4)\n","memory usage: 164.2+ KB\n"]}],"source":["df.info()"]},{"cell_type":"code","execution_count":6,"id":"839ac44a","metadata":{"_kg_hide-input":false,"execution":{"iopub.execute_input":"2023-07-09T08:20:55.309103Z","iopub.status.busy":"2023-07-09T08:20:55.308732Z","iopub.status.idle":"2023-07-09T08:20:55.334959Z","shell.execute_reply":"2023-07-09T08:20:55.333841Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.044196,"end_time":"2023-07-09T08:20:55.337295","exception":false,"start_time":"2023-07-09T08:20:55.293099","status":"completed"},"tags":[]},"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>YEAR</th>\n","      <th>PASSENGERS TO INDIA</th>\n","      <th>PASSENGERS FROM INDIA</th>\n","      <th>FREIGHT TO INDIA</th>\n","      <th>FREIGHT FROM INDIA</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>2334.000000</td>\n","      <td>2333.000000</td>\n","      <td>2334.000000</td>\n","      <td>2334.000000</td>\n","      <td>2334.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>2015.699229</td>\n","      <td>24476.482212</td>\n","      <td>25452.484576</td>\n","      <td>550.932764</td>\n","      <td>865.262860</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>0.674328</td>\n","      <td>51146.213682</td>\n","      <td>52474.422940</td>\n","      <td>1281.898272</td>\n","      <td>2151.224952</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>2015.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>2015.000000</td>\n","      <td>1488.000000</td>\n","      <td>1629.250000</td>\n","      <td>0.300000</td>\n","      <td>8.525000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>2016.000000</td>\n","      <td>4960.000000</td>\n","      <td>5264.500000</td>\n","      <td>53.950000</td>\n","      <td>154.325000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>2016.000000</td>\n","      <td>23290.000000</td>\n","      <td>23418.500000</td>\n","      <td>311.214750</td>\n","      <td>770.028000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>2017.000000</td>\n","      <td>402497.000000</td>\n","      <td>400155.000000</td>\n","      <td>14916.471000</td>\n","      <td>48640.298000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["              YEAR  PASSENGERS TO INDIA  PASSENGERS FROM INDIA  \\\n","count  2334.000000          2333.000000            2334.000000   \n","mean   2015.699229         24476.482212           25452.484576   \n","std       0.674328         51146.213682           52474.422940   \n","min    2015.000000             0.000000               0.000000   \n","25%    2015.000000          1488.000000            1629.250000   \n","50%    2016.000000          4960.000000            5264.500000   \n","75%    2016.000000         23290.000000           23418.500000   \n","max    2017.000000        402497.000000          400155.000000   \n","\n","       FREIGHT TO INDIA  FREIGHT FROM INDIA  \n","count       2334.000000         2334.000000  \n","mean         550.932764          865.262860  \n","std         1281.898272         2151.224952  \n","min            0.000000            0.000000  \n","25%            0.300000            8.525000  \n","50%           53.950000          154.325000  \n","75%          311.214750          770.028000  \n","max        14916.471000        48640.298000  "]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["df.describe()"]},{"cell_type":"code","execution_count":7,"id":"e57853fe","metadata":{"_kg_hide-input":false,"execution":{"iopub.execute_input":"2023-07-09T08:20:55.369392Z","iopub.status.busy":"2023-07-09T08:20:55.369012Z","iopub.status.idle":"2023-07-09T08:20:55.378169Z","shell.execute_reply":"2023-07-09T08:20:55.377296Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.027634,"end_time":"2023-07-09T08:20:55.380103","exception":false,"start_time":"2023-07-09T08:20:55.352469","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["YEAR                     0\n","MONTH                    0\n","QUARTER                  0\n","AIRLINE NAME             0\n","CARRIER TYPE             0\n","PASSENGERS TO INDIA      1\n","PASSENGERS FROM INDIA    0\n","FREIGHT TO INDIA         0\n","FREIGHT FROM INDIA       0\n","dtype: int64"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["df.isnull().sum()"]},{"cell_type":"code","execution_count":8,"id":"04bd760f","metadata":{"_kg_hide-input":false,"execution":{"iopub.execute_input":"2023-07-09T08:20:55.412675Z","iopub.status.busy":"2023-07-09T08:20:55.412307Z","iopub.status.idle":"2023-07-09T08:20:55.42718Z","shell.execute_reply":"2023-07-09T08:20:55.426055Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.033069,"end_time":"2023-07-09T08:20:55.429342","exception":false,"start_time":"2023-07-09T08:20:55.396273","status":"completed"},"tags":[]},"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>YEAR</th>\n","      <th>MONTH</th>\n","      <th>QUARTER</th>\n","      <th>AIRLINE NAME</th>\n","      <th>CARRIER TYPE</th>\n","      <th>PASSENGERS TO INDIA</th>\n","      <th>PASSENGERS FROM INDIA</th>\n","      <th>FREIGHT TO INDIA</th>\n","      <th>FREIGHT FROM INDIA</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>1955</th>\n","      <td>2016</td>\n","      <td>NOV</td>\n","      <td>Q4</td>\n","      <td>VIRGIN ATLANTIC AIRLINES</td>\n","      <td>FOREIGN</td>\n","      <td>NaN</td>\n","      <td>6696</td>\n","      <td>203.7</td>\n","      <td>409.8</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["      YEAR MONTH QUARTER              AIRLINE NAME CARRIER TYPE  \\\n","1955  2016   NOV      Q4  VIRGIN ATLANTIC AIRLINES      FOREIGN   \n","\n","      PASSENGERS TO INDIA  PASSENGERS FROM INDIA  FREIGHT TO INDIA  \\\n","1955                  NaN                   6696             203.7   \n","\n","      FREIGHT FROM INDIA  \n","1955               409.8  "]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["df[df['PASSENGERS TO INDIA'].isnull()]"]},{"cell_type":"code","execution_count":9,"id":"b4304702","metadata":{"_kg_hide-input":false,"execution":{"iopub.execute_input":"2023-07-09T08:20:55.462559Z","iopub.status.busy":"2023-07-09T08:20:55.461801Z","iopub.status.idle":"2023-07-09T08:20:55.473848Z","shell.execute_reply":"2023-07-09T08:20:55.472589Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.031197,"end_time":"2023-07-09T08:20:55.475978","exception":false,"start_time":"2023-07-09T08:20:55.444781","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0"]},"execution_count":9,"metadata":{},"output_type":"execute_result"}],"source":["df.duplicated().sum()"]},{"cell_type":"markdown","id":"09d2fb86","metadata":{"papermill":{"duration":0.016337,"end_time":"2023-07-09T08:20:55.507551","exception":false,"start_time":"2023-07-09T08:20:55.491214","status":"completed"},"tags":[]},"source":["# <span><h1 style=\"font-size: 36px; font-family: 'Roboto Mono', monospace; font-weight: normal; background-color: #e9f7ef; color: #8f52a4; text-align: center; border-radius: 150px 150px;\">Cleaning the Dataset</h1></span><a class='anchor' id='cleaning'></a>\n","<br>"]},{"cell_type":"code","execution_count":10,"id":"d8c436f7","metadata":{"execution":{"iopub.execute_input":"2023-07-09T08:20:55.541073Z","iopub.status.busy":"2023-07-09T08:20:55.540729Z","iopub.status.idle":"2023-07-09T08:20:55.548821Z","shell.execute_reply":"2023-07-09T08:20:55.54781Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.026856,"end_time":"2023-07-09T08:20:55.550747","exception":false,"start_time":"2023-07-09T08:20:55.523891","status":"completed"},"tags":[]},"outputs":[],"source":["# Changing column header to lower case\n","df.columns = df.columns.str.lower()\n","\n","# Adding _ in column names\n","df.columns = df.columns.str.replace(' ', '_')\n","\n","# Filling the missing value\n","df['passengers_to_india'].fillna(0, inplace=True)\n","\n","# Changing the datatype of 'passengers to india'\n","df['passengers_to_india'] = df['passengers_to_india'].astype(int)\n","\n","# Changing the datatype of the 'year' column\n","df['year'] = df['year'].astype('object')\n","\n"]},{"cell_type":"markdown","id":"833e99fd","metadata":{"papermill":{"duration":0.014856,"end_time":"2023-07-09T08:20:55.581101","exception":false,"start_time":"2023-07-09T08:20:55.566245","status":"completed"},"tags":[]},"source":["# <span><h1 style=\"font-size: 36px; font-family: 'Roboto Mono', monospace; font-weight: normal; background-color: #e9f7ef; color: #8f52a4; text-align: center; border-radius: 150px 150px;\">Exploratory Data Analysis </h1></span><a class='anchor' id='EDA'></a>\n","<br>\n","\n","<div style=\"border-radius:10px; border:#e7c6ff solid; padding: 15px; background-color: #f6f5f5; font-size:100%; text-align:left\">\n","\n","- Univariate analysis focuses on analyzing each feature in the dataset independently.\n","- Distribution analysis:\n","    - The distribution of each feature is examined to identify its shape, central tendency, and dispersion.\n","- Identifying potential issues:\n","    - Univariate analysis helps in identifying potential problems with the data such as outliers, skewness, and missing values"]},{"cell_type":"markdown","id":"6c78d10f","metadata":{"papermill":{"duration":0.015192,"end_time":"2023-07-09T08:20:55.611656","exception":false,"start_time":"2023-07-09T08:20:55.596464","status":"completed"},"tags":[]},"source":["<br>\n","<h2 style=\"font-size: 28px; font-family: 'Roboto Mono', monospace; font-weight: normal; background-color: #c7f9cc; color: #ef476f; text-align: center; border-radius: 150px 150px;\">Segregating Columns into groups</h2>\n","<br>\n","\n","**Numerical** - `passengers_to_india`,\t`passengers_from_india`,\t`freight_to_india`,\t`freight_from_india` <br>\n","**Categorical** - `year`, `month`, `quarter`, `airline_name`, `carrier_type`\n","\n"]},{"cell_type":"markdown","id":"78862d9d","metadata":{"papermill":{"duration":0.014819,"end_time":"2023-07-09T08:20:55.641865","exception":false,"start_time":"2023-07-09T08:20:55.627046","status":"completed"},"tags":[]},"source":["<br>\n","<h2 style=\"font-size: 28px; font-family: 'Roboto Mono', monospace; font-weight: normal; background-color: #c7f9cc; color: #ef476f; text-align: center; border-radius: 150px 150px;\">Analysis on passengers to India</h2>\n","<br>"]},{"cell_type":"code","execution_count":11,"id":"03cb4eeb","metadata":{"execution":{"iopub.execute_input":"2023-07-09T08:20:55.673749Z","iopub.status.busy":"2023-07-09T08:20:55.673397Z","iopub.status.idle":"2023-07-09T08:20:55.685842Z","shell.execute_reply":"2023-07-09T08:20:55.684756Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.031317,"end_time":"2023-07-09T08:20:55.688418","exception":false,"start_time":"2023-07-09T08:20:55.657101","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["count      2334.000000\n","mean      24465.995287\n","std       51137.760821\n","min           0.000000\n","25%        1483.500000\n","50%        4954.500000\n","75%       23284.000000\n","max      402497.000000\n","Name: passengers_to_india, dtype: float64"]},"execution_count":11,"metadata":{},"output_type":"execute_result"}],"source":["df['passengers_to_india'].describe()"]},{"cell_type":"code","execution_count":12,"id":"1787a74d","metadata":{"_kg_hide-input":true,"execution":{"iopub.execute_input":"2023-07-09T08:20:55.722888Z","iopub.status.busy":"2023-07-09T08:20:55.721993Z","iopub.status.idle":"2023-07-09T08:20:56.715765Z","shell.execute_reply":"2023-07-09T08:20:56.714891Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":1.013657,"end_time":"2023-07-09T08:20:56.717843","exception":false,"start_time":"2023-07-09T08:20:55.704186","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1200x400 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["fig, ax = plt.subplots(1,2, figsize=(12,4))\n","\n","ax[0] = sns.histplot(data=df, y='passengers_to_india',ax=ax[0], bins=15, color='#a8dadc', edgecolor='black')\n","ax[0].set_xscale('log')\n","ax[0].set(title='Count of passengers to India', ylabel='Passengers to India')\n","\n","ax[1] = sns.kdeplot(data=df, x='passengers_to_india', ax=ax[1], fill=True, color='#b5179e', edgecolor='black')\n","ax[1].set(title='KDE Plot of passengers to India', xlabel='Passengers to India')\n","plt.show()"]},{"cell_type":"code","execution_count":13,"id":"6cf65fd5","metadata":{"_kg_hide-input":true,"execution":{"iopub.execute_input":"2023-07-09T08:20:56.753458Z","iopub.status.busy":"2023-07-09T08:20:56.752834Z","iopub.status.idle":"2023-07-09T08:20:57.274327Z","shell.execute_reply":"2023-07-09T08:20:57.273478Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.541953,"end_time":"2023-07-09T08:20:57.27619","exception":false,"start_time":"2023-07-09T08:20:56.734237","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 800x400 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["fig, ax = plt.subplots(1,2, figsize=(8,4))\n","\n","ax[0] = sns.boxplot(data=df, y='passengers_to_india', color='#4cc9f0', ax=ax[0])\n","ax[0].set(title = 'Normal Y-Scale',ylabel='Passengers to India')\n","\n","ax[1] = sns.boxplot(data=df, y='passengers_to_india', color='#4895ef', ax=ax[1])\n","ax[1].set(title = 'Log Y-Scale',ylabel='Passengers to India')\n","ax[1].set_yscale('log')\n","\n","plt.tight_layout()\n","plt.show()"]},{"cell_type":"markdown","id":"7255e428","metadata":{"papermill":{"duration":0.016135,"end_time":"2023-07-09T08:20:57.308881","exception":false,"start_time":"2023-07-09T08:20:57.292746","status":"completed"},"tags":[]},"source":["#### Exploring the outliers"]},{"cell_type":"code","execution_count":14,"id":"ddc865ee","metadata":{"_kg_hide-input":true,"execution":{"iopub.execute_input":"2023-07-09T08:20:57.343367Z","iopub.status.busy":"2023-07-09T08:20:57.342509Z","iopub.status.idle":"2023-07-09T08:20:57.472855Z","shell.execute_reply":"2023-07-09T08:20:57.471668Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.150437,"end_time":"2023-07-09T08:20:57.475473","exception":false,"start_time":"2023-07-09T08:20:57.325036","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<style type=\"text/css\">\n","#T_9f78f_row0_col1 {\n","  background-color: #339966;\n","  color: #f1f1f1;\n","}\n","#T_9f78f_row1_col1 {\n","  background-color: #008066;\n","  color: #f1f1f1;\n","}\n","#T_9f78f_row2_col1 {\n","  background-color: #ffff66;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_9f78f\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th id=\"T_9f78f_level0_col0\" class=\"col_heading level0 col0\" >year</th>\n","      <th id=\"T_9f78f_level0_col1\" class=\"col_heading level0 col1\" >passengers_to_india</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_9f78f_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n","      <td id=\"T_9f78f_row0_col0\" class=\"data row0 col0\" >2015</td>\n","      <td id=\"T_9f78f_row0_col1\" class=\"data row0 col1\" >12306907</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_9f78f_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n","      <td id=\"T_9f78f_row1_col0\" class=\"data row1 col0\" >2016</td>\n","      <td id=\"T_9f78f_row1_col1\" class=\"data row1 col1\" >14444000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_9f78f_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n","      <td id=\"T_9f78f_row2_col0\" class=\"data row2 col0\" >2017</td>\n","      <td id=\"T_9f78f_row2_col1\" class=\"data row2 col1\" >3839411</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x7c0bb7022c20>"]},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":["df[df['passengers_to_india'] > 75000].groupby('year')['passengers_to_india'].sum().reset_index().style.background_gradient(cmap='summer_r', subset=['passengers_to_india'])"]},{"cell_type":"code","execution_count":15,"id":"001e6e4c","metadata":{"_kg_hide-input":true,"execution":{"iopub.execute_input":"2023-07-09T08:20:57.511074Z","iopub.status.busy":"2023-07-09T08:20:57.510707Z","iopub.status.idle":"2023-07-09T08:20:57.525592Z","shell.execute_reply":"2023-07-09T08:20:57.524105Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.035046,"end_time":"2023-07-09T08:20:57.527504","exception":false,"start_time":"2023-07-09T08:20:57.492458","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<style type=\"text/css\">\n","#T_49091_row0_col1 {\n","  background-color: #008066;\n","  color: #f1f1f1;\n","}\n","#T_49091_row1_col1 {\n","  background-color: #3b9d66;\n","  color: #f1f1f1;\n","}\n","#T_49091_row2_col1 {\n","  background-color: #49a466;\n","  color: #f1f1f1;\n","}\n","#T_49091_row3_col1 {\n","  background-color: #a3d166;\n","  color: #000000;\n","}\n","#T_49091_row4_col1 {\n","  background-color: #b5da66;\n","  color: #000000;\n","}\n","#T_49091_row5_col1 {\n","  background-color: #d3e966;\n","  color: #000000;\n","}\n","#T_49091_row6_col1 {\n","  background-color: #e9f466;\n","  color: #000000;\n","}\n","#T_49091_row7_col1 {\n","  background-color: #eff766;\n","  color: #000000;\n","}\n","#T_49091_row8_col1 {\n","  background-color: #f3f966;\n","  color: #000000;\n","}\n","#T_49091_row9_col1 {\n","  background-color: #f7fb66;\n","  color: #000000;\n","}\n","#T_49091_row10_col1 {\n","  background-color: #ffff66;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_49091\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th id=\"T_49091_level0_col0\" class=\"col_heading level0 col0\" >airline_name</th>\n","      <th id=\"T_49091_level0_col1\" class=\"col_heading level0 col1\" >passengers_to_india</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_49091_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n","      <td id=\"T_49091_row0_col0\" class=\"data row0 col0\" >JET AIRWAYS</td>\n","      <td id=\"T_49091_row0_col1\" class=\"data row0 col1\" >8320544</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_49091_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n","      <td id=\"T_49091_row1_col0\" class=\"data row1 col0\" >AIR INDIA</td>\n","      <td id=\"T_49091_row1_col1\" class=\"data row1 col1\" >6417414</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_49091_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n","      <td id=\"T_49091_row2_col0\" class=\"data row2 col0\" >EMIRATES AIRLINE</td>\n","      <td id=\"T_49091_row2_col1\" class=\"data row2 col1\" >5981862</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_49091_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n","      <td id=\"T_49091_row3_col0\" class=\"data row3 col0\" >AIR INDIA EXPRESS</td>\n","      <td id=\"T_49091_row3_col1\" class=\"data row3 col1\" >3099689</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_49091_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n","      <td id=\"T_49091_row4_col0\" class=\"data row4 col0\" >ETIHAD AIRLINES</td>\n","      <td id=\"T_49091_row4_col1\" class=\"data row4 col1\" >2518529</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_49091_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n","      <td id=\"T_49091_row5_col0\" class=\"data row5 col0\" >QATAR AIRWAYS</td>\n","      <td id=\"T_49091_row5_col1\" class=\"data row5 col1\" >1579535</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_49091_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n","      <td id=\"T_49091_row6_col0\" class=\"data row6 col0\" >AIR ARABIA</td>\n","      <td id=\"T_49091_row6_col1\" class=\"data row6 col1\" >854629</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_49091_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n","      <td id=\"T_49091_row7_col0\" class=\"data row7 col0\" >INDIGO</td>\n","      <td id=\"T_49091_row7_col1\" class=\"data row7 col1\" >690225</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_49091_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n","      <td id=\"T_49091_row8_col0\" class=\"data row8 col0\" >OMAN AIR</td>\n","      <td id=\"T_49091_row8_col1\" class=\"data row8 col1\" >559199</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_49091_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n","      <td id=\"T_49091_row9_col0\" class=\"data row9 col0\" >QATAR AIRWATYS</td>\n","      <td id=\"T_49091_row9_col1\" class=\"data row9 col1\" >416025</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_49091_level0_row10\" class=\"row_heading level0 row10\" >10</th>\n","      <td id=\"T_49091_row10_col0\" class=\"data row10 col0\" >SPICEJET</td>\n","      <td id=\"T_49091_row10_col1\" class=\"data row10 col1\" >152667</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x7c0b63307880>"]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["df[df['passengers_to_india'] > 75000].groupby(['airline_name'])['passengers_to_india'].sum().sort_values(ascending=False).reset_index().style.background_gradient(cmap='summer_r')"]},{"cell_type":"code","execution_count":16,"id":"162b7fe4","metadata":{"_kg_hide-input":true,"execution":{"iopub.execute_input":"2023-07-09T08:20:57.562671Z","iopub.status.busy":"2023-07-09T08:20:57.562321Z","iopub.status.idle":"2023-07-09T08:20:57.589693Z","shell.execute_reply":"2023-07-09T08:20:57.588482Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.047324,"end_time":"2023-07-09T08:20:57.591697","exception":false,"start_time":"2023-07-09T08:20:57.544373","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<style type=\"text/css\">\n","#T_998c6_row0_col0, #T_998c6_row1_col0, #T_998c6_row2_col0, #T_998c6_row2_col1, #T_998c6_row2_col2, #T_998c6_row2_col3 {\n","  background-color: #ffff66;\n","  color: #000000;\n","}\n","#T_998c6_row0_col1 {\n","  background-color: #a8d366;\n","  color: #000000;\n","}\n","#T_998c6_row0_col2 {\n","  background-color: #9fcf66;\n","  color: #000000;\n","}\n","#T_998c6_row0_col3, #T_998c6_row1_col3 {\n","  background-color: #008066;\n","  color: #f1f1f1;\n","}\n","#T_998c6_row1_col1 {\n","  background-color: #bfdf66;\n","  color: #000000;\n","}\n","#T_998c6_row1_col2 {\n","  background-color: #a5d266;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_998c6\">\n","  <thead>\n","    <tr>\n","      <th class=\"index_name level0\" >quarter</th>\n","      <th id=\"T_998c6_level0_col0\" class=\"col_heading level0 col0\" >Q1</th>\n","      <th id=\"T_998c6_level0_col1\" class=\"col_heading level0 col1\" >Q2</th>\n","      <th id=\"T_998c6_level0_col2\" class=\"col_heading level0 col2\" >Q3</th>\n","      <th id=\"T_998c6_level0_col3\" class=\"col_heading level0 col3\" >Q4</th>\n","    </tr>\n","    <tr>\n","      <th class=\"index_name level0\" >year</th>\n","      <th class=\"blank col0\" >&nbsp;</th>\n","      <th class=\"blank col1\" >&nbsp;</th>\n","      <th class=\"blank col2\" >&nbsp;</th>\n","      <th class=\"blank col3\" >&nbsp;</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_998c6_level0_row0\" class=\"row_heading level0 row0\" >2015</th>\n","      <td id=\"T_998c6_row0_col0\" class=\"data row0 col0\" >2759176.000000</td>\n","      <td id=\"T_998c6_row0_col1\" class=\"data row0 col1\" >3012133.000000</td>\n","      <td id=\"T_998c6_row0_col2\" class=\"data row0 col2\" >3036692.000000</td>\n","      <td id=\"T_998c6_row0_col3\" class=\"data row0 col3\" >3498906.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_998c6_level0_row1\" class=\"row_heading level0 row1\" >2016</th>\n","      <td id=\"T_998c6_row1_col0\" class=\"data row1 col0\" >3306662.000000</td>\n","      <td id=\"T_998c6_row1_col1\" class=\"data row1 col1\" >3497944.000000</td>\n","      <td id=\"T_998c6_row1_col2\" class=\"data row1 col2\" >3574331.000000</td>\n","      <td id=\"T_998c6_row1_col3\" class=\"data row1 col3\" >4065063.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_998c6_level0_row2\" class=\"row_heading level0 row2\" >2017</th>\n","      <td id=\"T_998c6_row2_col0\" class=\"data row2 col0\" >3839411.000000</td>\n","      <td id=\"T_998c6_row2_col1\" class=\"data row2 col1\" >nan</td>\n","      <td id=\"T_998c6_row2_col2\" class=\"data row2 col2\" >nan</td>\n","      <td id=\"T_998c6_row2_col3\" class=\"data row2 col3\" >nan</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x7c0b6774d090>"]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["df[df['passengers_to_india'] > 75000].groupby(['year','quarter'])['passengers_to_india'].sum().sort_values(ascending=False).unstack().style.background_gradient(cmap='summer_r', axis=1)\n"]},{"cell_type":"markdown","id":"31f81ef6","metadata":{"papermill":{"duration":0.016906,"end_time":"2023-07-09T08:20:57.625971","exception":false,"start_time":"2023-07-09T08:20:57.609065","status":"completed"},"tags":[]},"source":["<div style=\"border-radius:10px; border:#DEB887 solid; padding: 15px; background-color: #f6f5f5; font-size:100%; text-align:left\">\n","<h3 align=\"left\"><font color='#DEB887'>🔍 Conclusions:</font></h3>\n","\n","- No null values \n","- There is a huge difference in the max value and the mean value \n","- There are lots of outliers according to the box plot\n","- We see an increase in people coming to India every year \n","- We can see a gradual increase of people coming to India as the year ends, this could be because of the holidays and New Years "]},{"cell_type":"markdown","id":"3280d7ac","metadata":{"papermill":{"duration":0.016943,"end_time":"2023-07-09T08:20:57.660034","exception":false,"start_time":"2023-07-09T08:20:57.643091","status":"completed"},"tags":[]},"source":["\n","<br>\n","<h2 style=\"font-size: 28px; font-family: 'Roboto Mono', monospace; font-weight: normal; background-color: #c7f9cc; color: #ef476f; text-align: center; border-radius: 150px 150px;\">Analysis on passengers from India</h2>\n","<br>"]},{"cell_type":"code","execution_count":17,"id":"cbae3a17","metadata":{"_kg_hide-input":false,"execution":{"iopub.execute_input":"2023-07-09T08:20:57.696371Z","iopub.status.busy":"2023-07-09T08:20:57.695814Z","iopub.status.idle":"2023-07-09T08:20:57.703834Z","shell.execute_reply":"2023-07-09T08:20:57.703265Z"},"papermill":{"duration":0.028764,"end_time":"2023-07-09T08:20:57.705883","exception":false,"start_time":"2023-07-09T08:20:57.677119","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["count      2334.000000\n","mean      25452.484576\n","std       52474.422940\n","min           0.000000\n","25%        1629.250000\n","50%        5264.500000\n","75%       23418.500000\n","max      400155.000000\n","Name: passengers_from_india, dtype: float64"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["df['passengers_from_india'].describe()"]},{"cell_type":"code","execution_count":18,"id":"7bd855d8","metadata":{"_kg_hide-input":true,"execution":{"iopub.execute_input":"2023-07-09T08:20:57.742398Z","iopub.status.busy":"2023-07-09T08:20:57.741865Z","iopub.status.idle":"2023-07-09T08:20:58.606989Z","shell.execute_reply":"2023-07-09T08:20:58.605468Z"},"papermill":{"duration":0.885934,"end_time":"2023-07-09T08:20:58.609273","exception":false,"start_time":"2023-07-09T08:20:57.723339","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1200x400 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["fig, ax = plt.subplots(1,2, figsize=(12,4))\n","\n","ax[0] = sns.histplot(data=df, y='passengers_from_india',ax=ax[0], bins=15, color='#90f1ef', edgecolor='black')\n","ax[0].set_xscale('log')\n","ax[0].set(title='Count of passengers from India', ylabel='Passengers from India')\n","\n","ax[1] = sns.kdeplot(data=df, x='passengers_from_india', ax=ax[1], fill=True, color='#0496ff', edgecolor='black')\n","ax[1].set(title='KDE Plot of passengers from India', xlabel='Passengers from India')\n","plt.show()"]},{"cell_type":"code","execution_count":19,"id":"51ef0f3e","metadata":{"_kg_hide-input":true,"execution":{"iopub.execute_input":"2023-07-09T08:20:58.647946Z","iopub.status.busy":"2023-07-09T08:20:58.647571Z","iopub.status.idle":"2023-07-09T08:20:58.653791Z","shell.execute_reply":"2023-07-09T08:20:58.652962Z"},"papermill":{"duration":0.027245,"end_time":"2023-07-09T08:20:58.655522","exception":false,"start_time":"2023-07-09T08:20:58.628277","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["3.695734635952661"]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["df['passengers_from_india'].skew()"]},{"cell_type":"code","execution_count":20,"id":"9dd0ef32","metadata":{"_kg_hide-input":true,"execution":{"iopub.execute_input":"2023-07-09T08:20:58.693798Z","iopub.status.busy":"2023-07-09T08:20:58.692517Z","iopub.status.idle":"2023-07-09T08:20:59.373153Z","shell.execute_reply":"2023-07-09T08:20:59.372412Z"},"papermill":{"duration":0.701643,"end_time":"2023-07-09T08:20:59.3753","exception":false,"start_time":"2023-07-09T08:20:58.673657","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 800x400 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["fig, ax = plt.subplots(1,2, figsize=(8,4))\n","\n","ax[0] = sns.boxplot(data=df, y='passengers_from_india', color='#ffd300', ax=ax[0])\n","ax[0].set(title = 'Normal Y-Scale',ylabel='Passengers from India')\n","\n","ax[1] = sns.boxplot(data=df, y='passengers_from_india', color='#deff0a', ax=ax[1])\n","ax[1].set(title = 'Log Y-Scale',ylabel='Passengers from India')\n","ax[1].set_yscale('log')\n","\n","plt.tight_layout()\n","plt.show()"]},{"cell_type":"markdown","id":"bad5535e","metadata":{"papermill":{"duration":0.017891,"end_time":"2023-07-09T08:20:59.411562","exception":false,"start_time":"2023-07-09T08:20:59.393671","status":"completed"},"tags":[]},"source":["#### Exploring the outliers"]},{"cell_type":"code","execution_count":21,"id":"7eead5f1","metadata":{"_kg_hide-input":true,"execution":{"iopub.execute_input":"2023-07-09T08:20:59.450979Z","iopub.status.busy":"2023-07-09T08:20:59.449739Z","iopub.status.idle":"2023-07-09T08:20:59.464801Z","shell.execute_reply":"2023-07-09T08:20:59.463851Z"},"papermill":{"duration":0.036744,"end_time":"2023-07-09T08:20:59.466644","exception":false,"start_time":"2023-07-09T08:20:59.4299","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<style type=\"text/css\">\n","#T_d06b7_row0_col1 {\n","  background-color: #319866;\n","  color: #f1f1f1;\n","}\n","#T_d06b7_row1_col1 {\n","  background-color: #008066;\n","  color: #f1f1f1;\n","}\n","#T_d06b7_row2_col1 {\n","  background-color: #ffff66;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_d06b7\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th id=\"T_d06b7_level0_col0\" class=\"col_heading level0 col0\" >year</th>\n","      <th id=\"T_d06b7_level0_col1\" class=\"col_heading level0 col1\" >passengers_to_india</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_d06b7_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n","      <td id=\"T_d06b7_row0_col0\" class=\"data row0 col0\" >2015</td>\n","      <td id=\"T_d06b7_row0_col1\" class=\"data row0 col1\" >12708222</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_d06b7_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n","      <td id=\"T_d06b7_row1_col0\" class=\"data row1 col0\" >2016</td>\n","      <td id=\"T_d06b7_row1_col1\" class=\"data row1 col1\" >14782136</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_d06b7_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n","      <td id=\"T_d06b7_row2_col0\" class=\"data row2 col0\" >2017</td>\n","      <td id=\"T_d06b7_row2_col1\" class=\"data row2 col1\" >4121591</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x7c0b6316c6d0>"]},"execution_count":21,"metadata":{},"output_type":"execute_result"}],"source":["df[df['passengers_from_india'] > 75000].groupby('year')['passengers_to_india'].sum().reset_index().style.background_gradient(cmap='summer_r', subset=['passengers_to_india'])"]},{"cell_type":"code","execution_count":22,"id":"977bd2b7","metadata":{"_kg_hide-input":true,"execution":{"iopub.execute_input":"2023-07-09T08:20:59.507667Z","iopub.status.busy":"2023-07-09T08:20:59.506971Z","iopub.status.idle":"2023-07-09T08:20:59.520626Z","shell.execute_reply":"2023-07-09T08:20:59.519442Z"},"papermill":{"duration":0.036415,"end_time":"2023-07-09T08:20:59.522709","exception":false,"start_time":"2023-07-09T08:20:59.486294","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<style type=\"text/css\">\n","#T_c1c59_row0_col1 {\n","  background-color: #008066;\n","  color: #f1f1f1;\n","}\n","#T_c1c59_row1_col1 {\n","  background-color: #3a9c66;\n","  color: #f1f1f1;\n","}\n","#T_c1c59_row2_col1 {\n","  background-color: #48a366;\n","  color: #f1f1f1;\n","}\n","#T_c1c59_row3_col1 {\n","  background-color: #a1d066;\n","  color: #000000;\n","}\n","#T_c1c59_row4_col1 {\n","  background-color: #afd766;\n","  color: #000000;\n","}\n","#T_c1c59_row5_col1 {\n","  background-color: #cee666;\n","  color: #000000;\n","}\n","#T_c1c59_row6_col1 {\n","  background-color: #ddee66;\n","  color: #000000;\n","}\n","#T_c1c59_row7_col1 {\n","  background-color: #e4f266;\n","  color: #000000;\n","}\n","#T_c1c59_row8_col1 {\n","  background-color: #f0f866;\n","  color: #000000;\n","}\n","#T_c1c59_row9_col1 {\n","  background-color: #f1f866;\n","  color: #000000;\n","}\n","#T_c1c59_row10_col1 {\n","  background-color: #f8fc66;\n","  color: #000000;\n","}\n","#T_c1c59_row11_col1 {\n","  background-color: #ffff66;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_c1c59\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th id=\"T_c1c59_level0_col0\" class=\"col_heading level0 col0\" >airline_name</th>\n","      <th id=\"T_c1c59_level0_col1\" class=\"col_heading level0 col1\" >passengers_to_india</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_c1c59_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n","      <td id=\"T_c1c59_row0_col0\" class=\"data row0 col0\" >JET AIRWAYS</td>\n","      <td id=\"T_c1c59_row0_col1\" class=\"data row0 col1\" >8320544</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c1c59_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n","      <td id=\"T_c1c59_row1_col0\" class=\"data row1 col0\" >AIR INDIA</td>\n","      <td id=\"T_c1c59_row1_col1\" class=\"data row1 col1\" >6417414</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c1c59_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n","      <td id=\"T_c1c59_row2_col0\" class=\"data row2 col0\" >EMIRATES AIRLINE</td>\n","      <td id=\"T_c1c59_row2_col1\" class=\"data row2 col1\" >5981862</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c1c59_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n","      <td id=\"T_c1c59_row3_col0\" class=\"data row3 col0\" >AIR INDIA EXPRESS</td>\n","      <td id=\"T_c1c59_row3_col1\" class=\"data row3 col1\" >3099689</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c1c59_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n","      <td id=\"T_c1c59_row4_col0\" class=\"data row4 col0\" >ETIHAD AIRLINES</td>\n","      <td id=\"T_c1c59_row4_col1\" class=\"data row4 col1\" >2650684</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c1c59_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n","      <td id=\"T_c1c59_row5_col0\" class=\"data row5 col0\" >QATAR AIRWAYS</td>\n","      <td id=\"T_c1c59_row5_col1\" class=\"data row5 col1\" >1654189</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c1c59_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n","      <td id=\"T_c1c59_row6_col0\" class=\"data row6 col0\" >AIR ARABIA</td>\n","      <td id=\"T_c1c59_row6_col1\" class=\"data row6 col1\" >1156620</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c1c59_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n","      <td id=\"T_c1c59_row7_col0\" class=\"data row7 col0\" >INDIGO</td>\n","      <td id=\"T_c1c59_row7_col1\" class=\"data row7 col1\" >920354</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c1c59_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n","      <td id=\"T_c1c59_row8_col0\" class=\"data row8 col0\" >OMAN AIR</td>\n","      <td id=\"T_c1c59_row8_col1\" class=\"data row8 col1\" >557924</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c1c59_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n","      <td id=\"T_c1c59_row9_col0\" class=\"data row9 col0\" >QATAR AIRWATYS</td>\n","      <td id=\"T_c1c59_row9_col1\" class=\"data row9 col1\" >518664</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c1c59_level0_row10\" class=\"row_heading level0 row10\" >10</th>\n","      <td id=\"T_c1c59_row10_col0\" class=\"data row10 col0\" >SPICEJET</td>\n","      <td id=\"T_c1c59_row10_col1\" class=\"data row10 col1\" >286547</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c1c59_level0_row11\" class=\"row_heading level0 row11\" >11</th>\n","      <td id=\"T_c1c59_row11_col0\" class=\"data row11 col0\" >SAUDIA</td>\n","      <td id=\"T_c1c59_row11_col1\" class=\"data row11 col1\" >47458</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x7c0b6329fcd0>"]},"execution_count":22,"metadata":{},"output_type":"execute_result"}],"source":["df[df['passengers_from_india'] > 75000].groupby(['airline_name'])['passengers_to_india'].sum().sort_values(ascending=False).reset_index().style.background_gradient(cmap='summer_r') "]},{"cell_type":"code","execution_count":23,"id":"f905df3d","metadata":{"_kg_hide-input":true,"execution":{"iopub.execute_input":"2023-07-09T08:20:59.563252Z","iopub.status.busy":"2023-07-09T08:20:59.562626Z","iopub.status.idle":"2023-07-09T08:20:59.577605Z","shell.execute_reply":"2023-07-09T08:20:59.576978Z"},"papermill":{"duration":0.038057,"end_time":"2023-07-09T08:20:59.579488","exception":false,"start_time":"2023-07-09T08:20:59.541431","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<style type=\"text/css\">\n","#T_5dc18_row0_col0 {\n","  background-color: #d1e866;\n","  color: #000000;\n","}\n","#T_5dc18_row0_col1, #T_5dc18_row1_col0, #T_5dc18_row2_col0, #T_5dc18_row2_col1, #T_5dc18_row2_col2, #T_5dc18_row2_col3 {\n","  background-color: #ffff66;\n","  color: #000000;\n","}\n","#T_5dc18_row0_col2 {\n","  background-color: #e6f266;\n","  color: #000000;\n","}\n","#T_5dc18_row0_col3, #T_5dc18_row1_col3 {\n","  background-color: #008066;\n","  color: #f1f1f1;\n","}\n","#T_5dc18_row1_col1 {\n","  background-color: #73b966;\n","  color: #f1f1f1;\n","}\n","#T_5dc18_row1_col2 {\n","  background-color: #339966;\n","  color: #f1f1f1;\n","}\n","</style>\n","<table id=\"T_5dc18\">\n","  <thead>\n","    <tr>\n","      <th class=\"index_name level0\" >quarter</th>\n","      <th id=\"T_5dc18_level0_col0\" class=\"col_heading level0 col0\" >Q1</th>\n","      <th id=\"T_5dc18_level0_col1\" class=\"col_heading level0 col1\" >Q2</th>\n","      <th id=\"T_5dc18_level0_col2\" class=\"col_heading level0 col2\" >Q3</th>\n","      <th id=\"T_5dc18_level0_col3\" class=\"col_heading level0 col3\" >Q4</th>\n","    </tr>\n","    <tr>\n","      <th class=\"index_name level0\" >year</th>\n","      <th class=\"blank col0\" >&nbsp;</th>\n","      <th class=\"blank col1\" >&nbsp;</th>\n","      <th class=\"blank col2\" >&nbsp;</th>\n","      <th class=\"blank col3\" >&nbsp;</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_5dc18_level0_row0\" class=\"row_heading level0 row0\" >2015</th>\n","      <td id=\"T_5dc18_row0_col0\" class=\"data row0 col0\" >3096123.000000</td>\n","      <td id=\"T_5dc18_row0_col1\" class=\"data row0 col1\" >2991656.000000</td>\n","      <td id=\"T_5dc18_row0_col2\" class=\"data row0 col2\" >3048895.000000</td>\n","      <td id=\"T_5dc18_row0_col3\" class=\"data row0 col3\" >3571548.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_5dc18_level0_row1\" class=\"row_heading level0 row1\" >2016</th>\n","      <td id=\"T_5dc18_row1_col0\" class=\"data row1 col0\" >3499636.000000</td>\n","      <td id=\"T_5dc18_row1_col1\" class=\"data row1 col1\" >3683424.000000</td>\n","      <td id=\"T_5dc18_row1_col2\" class=\"data row1 col2\" >3765694.000000</td>\n","      <td id=\"T_5dc18_row1_col3\" class=\"data row1 col3\" >3833382.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_5dc18_level0_row2\" class=\"row_heading level0 row2\" >2017</th>\n","      <td id=\"T_5dc18_row2_col0\" class=\"data row2 col0\" >4121591.000000</td>\n","      <td id=\"T_5dc18_row2_col1\" class=\"data row2 col1\" >nan</td>\n","      <td id=\"T_5dc18_row2_col2\" class=\"data row2 col2\" >nan</td>\n","      <td id=\"T_5dc18_row2_col3\" class=\"data row2 col3\" >nan</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x7c0b6329c670>"]},"execution_count":23,"metadata":{},"output_type":"execute_result"}],"source":["df[df['passengers_from_india'] > 75000].groupby(['year','quarter'])['passengers_to_india'].sum().sort_values(ascending=False).unstack().style.background_gradient(cmap='summer_r', axis=1) \n"]},{"cell_type":"markdown","id":"0fc66bfe","metadata":{"papermill":{"duration":0.018201,"end_time":"2023-07-09T08:20:59.616542","exception":false,"start_time":"2023-07-09T08:20:59.598341","status":"completed"},"tags":[]},"source":["<div style=\"border-radius:10px; border:#DEB887 solid; padding: 15px; background-color: #f6f5f5; font-size:100%; text-align:left\">\n","<h3 align=\"left\"><font color='#DEB887'>🔍 Conclusions:</font></h3>\n","    \n","- No null values\n","- Extremely positively skewed \n","- The number of people going out of India is increasing every year\n","- This maybe because of better job opportunities and better standard of living "]},{"cell_type":"markdown","id":"523dbe9e","metadata":{"papermill":{"duration":0.018376,"end_time":"2023-07-09T08:20:59.653633","exception":false,"start_time":"2023-07-09T08:20:59.635257","status":"completed"},"tags":[]},"source":["<br>\n","<h2 style=\"font-size: 28px; font-family: 'Roboto Mono', monospace; font-weight: normal; background-color: #c7f9cc; color: #ef476f; text-align: center; border-radius: 150px 150px;\">Analysis on freight to India</h2>\n","<br>\n"]},{"cell_type":"code","execution_count":24,"id":"a61a8bc5","metadata":{"execution":{"iopub.execute_input":"2023-07-09T08:20:59.693242Z","iopub.status.busy":"2023-07-09T08:20:59.692699Z","iopub.status.idle":"2023-07-09T08:20:59.703554Z","shell.execute_reply":"2023-07-09T08:20:59.702789Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.033432,"end_time":"2023-07-09T08:20:59.705291","exception":false,"start_time":"2023-07-09T08:20:59.671859","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["count     2334.000000\n","mean       550.932764\n","std       1281.898272\n","min          0.000000\n","25%          0.300000\n","50%         53.950000\n","75%        311.214750\n","max      14916.471000\n","Name: freight_to_india, dtype: float64"]},"execution_count":24,"metadata":{},"output_type":"execute_result"}],"source":["df['freight_to_india'].describe()"]},{"cell_type":"code","execution_count":25,"id":"1af8ea0e","metadata":{"execution":{"iopub.execute_input":"2023-07-09T08:20:59.745416Z","iopub.status.busy":"2023-07-09T08:20:59.744593Z","iopub.status.idle":"2023-07-09T08:21:00.62512Z","shell.execute_reply":"2023-07-09T08:21:00.623759Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.902774,"end_time":"2023-07-09T08:21:00.627337","exception":false,"start_time":"2023-07-09T08:20:59.724563","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1200x400 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["fig, ax = plt.subplots(1,2, figsize=(12,4))\n","\n","ax[0] = sns.histplot(data=df, y='freight_to_india',ax=ax[0], bins=15, color='#7776bc', edgecolor='black')\n","ax[0].set_xscale('log')\n","ax[0].set(title='Count of freight to India', ylabel='Freight to India')\n","\n","ax[1] = sns.kdeplot(data=df, x='freight_to_india', ax=ax[1], fill=True, color='#cdc7e5', edgecolor='black')\n","ax[1].set(title='KDE Plot of freight to India', xlabel='Freight to India')\n","plt.show()"]},{"cell_type":"code","execution_count":26,"id":"b4e09be8","metadata":{"execution":{"iopub.execute_input":"2023-07-09T08:21:00.669734Z","iopub.status.busy":"2023-07-09T08:21:00.669387Z","iopub.status.idle":"2023-07-09T08:21:00.676378Z","shell.execute_reply":"2023-07-09T08:21:00.675643Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.030539,"end_time":"2023-07-09T08:21:00.678253","exception":false,"start_time":"2023-07-09T08:21:00.647714","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["3.4873840885082505"]},"execution_count":26,"metadata":{},"output_type":"execute_result"}],"source":["df['freight_to_india'].skew()"]},{"cell_type":"code","execution_count":27,"id":"faee94f8","metadata":{"execution":{"iopub.execute_input":"2023-07-09T08:21:00.721255Z","iopub.status.busy":"2023-07-09T08:21:00.720555Z","iopub.status.idle":"2023-07-09T08:21:01.38495Z","shell.execute_reply":"2023-07-09T08:21:01.38304Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.689358,"end_time":"2023-07-09T08:21:01.387852","exception":false,"start_time":"2023-07-09T08:21:00.698494","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 800x400 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["fig, ax = plt.subplots(1,2, figsize=(8,4))\n","\n","ax[0] = sns.boxplot(data=df, y='freight_to_india', color='#ffff3f', ax=ax[0])\n","ax[0].set(title = 'Normal Y-Scale',ylabel='Passengers from India')\n","\n","ax[1] = sns.boxplot(data=df, y='freight_to_india', color='#ffff3f', ax=ax[1])\n","ax[1].set(title = 'Log Y-Scale',ylabel='Passengers from India')\n","ax[1].set_yscale('log')\n","\n","plt.tight_layout()\n","plt.show()"]},{"cell_type":"markdown","id":"543c5278","metadata":{"papermill":{"duration":0.020434,"end_time":"2023-07-09T08:21:01.429042","exception":false,"start_time":"2023-07-09T08:21:01.408608","status":"completed"},"tags":[]},"source":["#### Exporing the outliers "]},{"cell_type":"code","execution_count":28,"id":"1c2259b8","metadata":{"execution":{"iopub.execute_input":"2023-07-09T08:21:01.472501Z","iopub.status.busy":"2023-07-09T08:21:01.472165Z","iopub.status.idle":"2023-07-09T08:21:01.488627Z","shell.execute_reply":"2023-07-09T08:21:01.487102Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.041063,"end_time":"2023-07-09T08:21:01.491084","exception":false,"start_time":"2023-07-09T08:21:01.450021","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<style type=\"text/css\">\n","#T_c908f_row0_col1 {\n","  background-color: #0a8466;\n","  color: #f1f1f1;\n","}\n","#T_c908f_row1_col1 {\n","  background-color: #008066;\n","  color: #f1f1f1;\n","}\n","#T_c908f_row2_col1 {\n","  background-color: #ffff66;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_c908f\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th id=\"T_c908f_level0_col0\" class=\"col_heading level0 col0\" >year</th>\n","      <th id=\"T_c908f_level0_col1\" class=\"col_heading level0 col1\" >freight_to_india</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_c908f_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n","      <td id=\"T_c908f_row0_col0\" class=\"data row0 col0\" >2015</td>\n","      <td id=\"T_c908f_row0_col1\" class=\"data row0 col1\" >130005.593000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c908f_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n","      <td id=\"T_c908f_row1_col0\" class=\"data row1 col0\" >2016</td>\n","      <td id=\"T_c908f_row1_col1\" class=\"data row1 col1\" >133129.300000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c908f_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n","      <td id=\"T_c908f_row2_col0\" class=\"data row2 col0\" >2017</td>\n","      <td id=\"T_c908f_row2_col1\" class=\"data row2 col1\" >58185.500000</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x7c0b630550c0>"]},"execution_count":28,"metadata":{},"output_type":"execute_result"}],"source":["df[df['freight_to_india'] > 5000].groupby('year')['freight_to_india'].sum().reset_index().style.background_gradient(cmap='summer_r',subset=['freight_to_india']) "]},{"cell_type":"code","execution_count":29,"id":"84cc953b","metadata":{"execution":{"iopub.execute_input":"2023-07-09T08:21:01.533768Z","iopub.status.busy":"2023-07-09T08:21:01.532729Z","iopub.status.idle":"2023-07-09T08:21:01.546277Z","shell.execute_reply":"2023-07-09T08:21:01.54533Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.036662,"end_time":"2023-07-09T08:21:01.548002","exception":false,"start_time":"2023-07-09T08:21:01.51134","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<style type=\"text/css\">\n","#T_040f4_row0_col1 {\n","  background-color: #008066;\n","  color: #f1f1f1;\n","}\n","#T_040f4_row1_col1 {\n","  background-color: #76bb66;\n","  color: #f1f1f1;\n","}\n","#T_040f4_row2_col1 {\n","  background-color: #d1e866;\n","  color: #000000;\n","}\n","#T_040f4_row3_col1 {\n","  background-color: #daec66;\n","  color: #000000;\n","}\n","#T_040f4_row4_col1 {\n","  background-color: #ffff66;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_040f4\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th id=\"T_040f4_level0_col0\" class=\"col_heading level0 col0\" >airline_name</th>\n","      <th id=\"T_040f4_level0_col1\" class=\"col_heading level0 col1\" >freight_to_india</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_040f4_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n","      <td id=\"T_040f4_row0_col0\" class=\"data row0 col0\" >CATHAY PACIFIC</td>\n","      <td id=\"T_040f4_row0_col1\" class=\"data row0 col1\" >163839.269000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_040f4_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n","      <td id=\"T_040f4_row1_col0\" class=\"data row1 col0\" >EMIRATES AIRLINE</td>\n","      <td id=\"T_040f4_row1_col1\" class=\"data row1 col1\" >90136.330000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_040f4_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n","      <td id=\"T_040f4_row2_col0\" class=\"data row2 col0\" >QATAR AIRWAYS</td>\n","      <td id=\"T_040f4_row2_col1\" class=\"data row2 col1\" >34101.094000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_040f4_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n","      <td id=\"T_040f4_row3_col0\" class=\"data row3 col0\" >JET AIRWAYS</td>\n","      <td id=\"T_040f4_row3_col1\" class=\"data row3 col1\" >28147.600000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_040f4_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n","      <td id=\"T_040f4_row4_col0\" class=\"data row4 col0\" >AIR INDIA</td>\n","      <td id=\"T_040f4_row4_col1\" class=\"data row4 col1\" >5096.100000</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x7c0b6301bee0>"]},"execution_count":29,"metadata":{},"output_type":"execute_result"}],"source":["df[df['freight_to_india'] > 5000].groupby('airline_name')['freight_to_india'].sum().sort_values(ascending=False).reset_index().style.background_gradient(cmap='summer_r') "]},{"cell_type":"code","execution_count":30,"id":"2b206c1d","metadata":{"execution":{"iopub.execute_input":"2023-07-09T08:21:01.590567Z","iopub.status.busy":"2023-07-09T08:21:01.590041Z","iopub.status.idle":"2023-07-09T08:21:01.609328Z","shell.execute_reply":"2023-07-09T08:21:01.608299Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.043379,"end_time":"2023-07-09T08:21:01.611727","exception":false,"start_time":"2023-07-09T08:21:01.568348","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<style type=\"text/css\">\n","#T_61905_row0_col0, #T_61905_row0_col3, #T_61905_row1_col1, #T_61905_row1_col2 {\n","  background-color: #ffff66;\n","  color: #000000;\n","}\n","#T_61905_row0_col1, #T_61905_row0_col2, #T_61905_row1_col3, #T_61905_row2_col0 {\n","  background-color: #008066;\n","  color: #f1f1f1;\n","}\n","#T_61905_row1_col0 {\n","  background-color: #f9fc66;\n","  color: #000000;\n","}\n","#T_61905_row2_col1, #T_61905_row2_col2, #T_61905_row2_col3 {\n","  background-color: #000000;\n","  color: #f1f1f1;\n","}\n","</style>\n","<table id=\"T_61905\">\n","  <thead>\n","    <tr>\n","      <th class=\"index_name level0\" >quarter</th>\n","      <th id=\"T_61905_level0_col0\" class=\"col_heading level0 col0\" >Q1</th>\n","      <th id=\"T_61905_level0_col1\" class=\"col_heading level0 col1\" >Q2</th>\n","      <th id=\"T_61905_level0_col2\" class=\"col_heading level0 col2\" >Q3</th>\n","      <th id=\"T_61905_level0_col3\" class=\"col_heading level0 col3\" >Q4</th>\n","    </tr>\n","    <tr>\n","      <th class=\"index_name level0\" >year</th>\n","      <th class=\"blank col0\" >&nbsp;</th>\n","      <th class=\"blank col1\" >&nbsp;</th>\n","      <th class=\"blank col2\" >&nbsp;</th>\n","      <th class=\"blank col3\" >&nbsp;</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_61905_level0_row0\" class=\"row_heading level0 row0\" >2015</th>\n","      <td id=\"T_61905_row0_col0\" class=\"data row0 col0\" >17397.120000</td>\n","      <td id=\"T_61905_row0_col1\" class=\"data row0 col1\" >39239.542000</td>\n","      <td id=\"T_61905_row0_col2\" class=\"data row0 col2\" >39373.148000</td>\n","      <td id=\"T_61905_row0_col3\" class=\"data row0 col3\" >33995.783000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_61905_level0_row1\" class=\"row_heading level0 row1\" >2016</th>\n","      <td id=\"T_61905_row1_col0\" class=\"data row1 col0\" >18422.900000</td>\n","      <td id=\"T_61905_row1_col1\" class=\"data row1 col1\" >35600.800000</td>\n","      <td id=\"T_61905_row1_col2\" class=\"data row1 col2\" >31703.400000</td>\n","      <td id=\"T_61905_row1_col3\" class=\"data row1 col3\" >47402.200000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_61905_level0_row2\" class=\"row_heading level0 row2\" >2017</th>\n","      <td id=\"T_61905_row2_col0\" class=\"data row2 col0\" >58185.500000</td>\n","      <td id=\"T_61905_row2_col1\" class=\"data row2 col1\" >nan</td>\n","      <td id=\"T_61905_row2_col2\" class=\"data row2 col2\" >nan</td>\n","      <td id=\"T_61905_row2_col3\" class=\"data row2 col3\" >nan</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x7c0b63433310>"]},"execution_count":30,"metadata":{},"output_type":"execute_result"}],"source":["df[df['freight_to_india'] > 5000].groupby(['year','quarter'])['freight_to_india'].sum().sort_values(ascending=False).unstack().style.background_gradient(cmap='summer_r') "]},{"cell_type":"markdown","id":"e3dbd6f1","metadata":{"papermill":{"duration":0.020748,"end_time":"2023-07-09T08:21:01.654652","exception":false,"start_time":"2023-07-09T08:21:01.633904","status":"completed"},"tags":[]},"source":["<div style=\"border-radius:10px; border:#DEB887 solid; padding: 15px; background-color: #f6f5f5; font-size:100%; text-align:left\">\n","<h3 align=\"left\"><font color='#DEB887'>🔍 Conclusions:</font></h3>\n","    \n","- The amount of freight increases with year \n","- Freight to India for Q1 in the year 2015 & 2016 were the same (almost) but there is a sudden increase in the Q1 in the year 2017\n"]},{"cell_type":"markdown","id":"e47e0b4e","metadata":{"papermill":{"duration":0.020959,"end_time":"2023-07-09T08:21:01.696478","exception":false,"start_time":"2023-07-09T08:21:01.675519","status":"completed"},"tags":[]},"source":["<br>\n","<h2 style=\"font-size: 28px; font-family: 'Roboto Mono', monospace; font-weight: normal; background-color: #c7f9cc; color: #ef476f; text-align: center; border-radius: 150px 150px;\">Analysis on freight from India</h2>\n","<br>"]},{"cell_type":"code","execution_count":31,"id":"0a594e9b","metadata":{"execution":{"iopub.execute_input":"2023-07-09T08:21:01.741634Z","iopub.status.busy":"2023-07-09T08:21:01.741264Z","iopub.status.idle":"2023-07-09T08:21:01.754582Z","shell.execute_reply":"2023-07-09T08:21:01.753364Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.038338,"end_time":"2023-07-09T08:21:01.757181","exception":false,"start_time":"2023-07-09T08:21:01.718843","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["count     2334.000000\n","mean       865.262860\n","std       2151.224952\n","min          0.000000\n","25%          8.525000\n","50%        154.325000\n","75%        770.028000\n","max      48640.298000\n","Name: freight_from_india, dtype: float64"]},"execution_count":31,"metadata":{},"output_type":"execute_result"}],"source":["df['freight_from_india'].describe()"]},{"cell_type":"code","execution_count":32,"id":"1976b3a4","metadata":{"execution":{"iopub.execute_input":"2023-07-09T08:21:01.8088Z","iopub.status.busy":"2023-07-09T08:21:01.808175Z","iopub.status.idle":"2023-07-09T08:21:02.68531Z","shell.execute_reply":"2023-07-09T08:21:02.684478Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.906673,"end_time":"2023-07-09T08:21:02.687218","exception":false,"start_time":"2023-07-09T08:21:01.780545","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1200x400 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["fig, ax = plt.subplots(1,2, figsize=(12,4))\n","\n","ax[0] = sns.histplot(data=df, y='freight_from_india',ax=ax[0], bins=15, color='#8187dc', edgecolor='black')\n","ax[0].set_xscale('log')\n","ax[0].set(title='Count of freight from India', ylabel='Freight from India')\n","\n","ax[1] = sns.kdeplot(data=df, x='freight_from_india', ax=ax[1], fill=True, color='#8e94f2', edgecolor='black')\n","ax[1].set(title='KDE Plot of freight from India', xlabel='Freight from India')\n","plt.show()"]},{"cell_type":"code","execution_count":33,"id":"76667340","metadata":{"execution":{"iopub.execute_input":"2023-07-09T08:21:02.734722Z","iopub.status.busy":"2023-07-09T08:21:02.733419Z","iopub.status.idle":"2023-07-09T08:21:03.328828Z","shell.execute_reply":"2023-07-09T08:21:03.327561Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.62284,"end_time":"2023-07-09T08:21:03.331533","exception":false,"start_time":"2023-07-09T08:21:02.708693","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 800x400 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["fig, ax = plt.subplots(1,2, figsize=(8,4))\n","\n","ax[0] = sns.boxplot(data=df, y='freight_from_india', color='#ffff3f', ax=ax[0])\n","ax[0].set(title = 'Normal Y-Scale',ylabel='Passengers from India')\n","\n","ax[1] = sns.boxplot(data=df, y='freight_from_india', color='#ffff3f', ax=ax[1])\n","ax[1].set(title = 'Log Y-Scale',ylabel='Passengers from India')\n","ax[1].set_yscale('log')\n","\n","plt.tight_layout()\n","plt.show()"]},{"cell_type":"markdown","id":"6191878d","metadata":{"papermill":{"duration":0.022034,"end_time":"2023-07-09T08:21:03.375752","exception":false,"start_time":"2023-07-09T08:21:03.353718","status":"completed"},"tags":[]},"source":["#### Exporing the outliers"]},{"cell_type":"code","execution_count":34,"id":"31edee38","metadata":{"execution":{"iopub.execute_input":"2023-07-09T08:21:03.422952Z","iopub.status.busy":"2023-07-09T08:21:03.422386Z","iopub.status.idle":"2023-07-09T08:21:03.434681Z","shell.execute_reply":"2023-07-09T08:21:03.433448Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.038017,"end_time":"2023-07-09T08:21:03.436878","exception":false,"start_time":"2023-07-09T08:21:03.398861","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<style type=\"text/css\">\n","#T_67d47_row0_col1 {\n","  background-color: #038166;\n","  color: #f1f1f1;\n","}\n","#T_67d47_row1_col1 {\n","  background-color: #008066;\n","  color: #f1f1f1;\n","}\n","#T_67d47_row2_col1 {\n","  background-color: #ffff66;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_67d47\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th id=\"T_67d47_level0_col0\" class=\"col_heading level0 col0\" >year</th>\n","      <th id=\"T_67d47_level0_col1\" class=\"col_heading level0 col1\" >freight_from_india</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_67d47_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n","      <td id=\"T_67d47_row0_col0\" class=\"data row0 col0\" >2015</td>\n","      <td id=\"T_67d47_row0_col1\" class=\"data row0 col1\" >168572.922000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_67d47_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n","      <td id=\"T_67d47_row1_col0\" class=\"data row1 col0\" >2016</td>\n","      <td id=\"T_67d47_row1_col1\" class=\"data row1 col1\" >169919.100000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_67d47_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n","      <td id=\"T_67d47_row2_col0\" class=\"data row2 col0\" >2017</td>\n","      <td id=\"T_67d47_row2_col1\" class=\"data row2 col1\" >80773.900000</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x7c0b633aa140>"]},"execution_count":34,"metadata":{},"output_type":"execute_result"}],"source":["df[df['freight_to_india'] > 5000].groupby('year')['freight_from_india'].sum().reset_index().style.background_gradient(cmap='summer_r',subset=['freight_from_india']) "]},{"cell_type":"code","execution_count":35,"id":"1569a03c","metadata":{"execution":{"iopub.execute_input":"2023-07-09T08:21:03.482662Z","iopub.status.busy":"2023-07-09T08:21:03.482309Z","iopub.status.idle":"2023-07-09T08:21:03.497383Z","shell.execute_reply":"2023-07-09T08:21:03.496507Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.040227,"end_time":"2023-07-09T08:21:03.499369","exception":false,"start_time":"2023-07-09T08:21:03.459142","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<style type=\"text/css\">\n","#T_2eae8_row0_col1 {\n","  background-color: #008066;\n","  color: #f1f1f1;\n","}\n","#T_2eae8_row1_col1 {\n","  background-color: #8ac466;\n","  color: #000000;\n","}\n","#T_2eae8_row2_col1 {\n","  background-color: #c2e066;\n","  color: #000000;\n","}\n","#T_2eae8_row3_col1 {\n","  background-color: #d8ec66;\n","  color: #000000;\n","}\n","#T_2eae8_row4_col1 {\n","  background-color: #ffff66;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_2eae8\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th id=\"T_2eae8_level0_col0\" class=\"col_heading level0 col0\" >airline_name</th>\n","      <th id=\"T_2eae8_level0_col1\" class=\"col_heading level0 col1\" >freight_from_india</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_2eae8_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n","      <td id=\"T_2eae8_row0_col0\" class=\"data row0 col0\" >EMIRATES AIRLINE</td>\n","      <td id=\"T_2eae8_row0_col1\" class=\"data row0 col1\" >213488.525000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_2eae8_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n","      <td id=\"T_2eae8_row1_col0\" class=\"data row1 col0\" >CATHAY PACIFIC</td>\n","      <td id=\"T_2eae8_row1_col1\" class=\"data row1 col1\" >102127.753000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_2eae8_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n","      <td id=\"T_2eae8_row2_col0\" class=\"data row2 col0\" >QATAR AIRWAYS</td>\n","      <td id=\"T_2eae8_row2_col1\" class=\"data row2 col1\" >56812.344000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_2eae8_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n","      <td id=\"T_2eae8_row3_col0\" class=\"data row3 col0\" >JET AIRWAYS</td>\n","      <td id=\"T_2eae8_row3_col1\" class=\"data row3 col1\" >39488.500000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_2eae8_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n","      <td id=\"T_2eae8_row4_col0\" class=\"data row4 col0\" >AIR INDIA</td>\n","      <td id=\"T_2eae8_row4_col1\" class=\"data row4 col1\" >7348.800000</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x7c0b63057850>"]},"execution_count":35,"metadata":{},"output_type":"execute_result"}],"source":["df[df['freight_to_india'] > 5000].groupby('airline_name')['freight_from_india'].sum().sort_values(ascending=False).reset_index().style.background_gradient(cmap='summer_r') "]},{"cell_type":"code","execution_count":36,"id":"c890d81b","metadata":{"execution":{"iopub.execute_input":"2023-07-09T08:21:03.545687Z","iopub.status.busy":"2023-07-09T08:21:03.545271Z","iopub.status.idle":"2023-07-09T08:21:03.564131Z","shell.execute_reply":"2023-07-09T08:21:03.563027Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.044772,"end_time":"2023-07-09T08:21:03.566139","exception":false,"start_time":"2023-07-09T08:21:03.521367","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<style type=\"text/css\">\n","#T_0e627_row0_col0 {\n","  background-color: #b6db66;\n","  color: #000000;\n","}\n","#T_0e627_row0_col1, #T_0e627_row0_col3, #T_0e627_row1_col0, #T_0e627_row1_col2 {\n","  background-color: #ffff66;\n","  color: #000000;\n","}\n","#T_0e627_row0_col2, #T_0e627_row1_col1, #T_0e627_row1_col3, #T_0e627_row2_col0 {\n","  background-color: #008066;\n","  color: #f1f1f1;\n","}\n","#T_0e627_row2_col1, #T_0e627_row2_col2, #T_0e627_row2_col3 {\n","  background-color: #000000;\n","  color: #f1f1f1;\n","}\n","</style>\n","<table id=\"T_0e627\">\n","  <thead>\n","    <tr>\n","      <th class=\"index_name level0\" >quarter</th>\n","      <th id=\"T_0e627_level0_col0\" class=\"col_heading level0 col0\" >Q1</th>\n","      <th id=\"T_0e627_level0_col1\" class=\"col_heading level0 col1\" >Q2</th>\n","      <th id=\"T_0e627_level0_col2\" class=\"col_heading level0 col2\" >Q3</th>\n","      <th id=\"T_0e627_level0_col3\" class=\"col_heading level0 col3\" >Q4</th>\n","    </tr>\n","    <tr>\n","      <th class=\"index_name level0\" >year</th>\n","      <th class=\"blank col0\" >&nbsp;</th>\n","      <th class=\"blank col1\" >&nbsp;</th>\n","      <th class=\"blank col2\" >&nbsp;</th>\n","      <th class=\"blank col3\" >&nbsp;</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_0e627_level0_row0\" class=\"row_heading level0 row0\" >2015</th>\n","      <td id=\"T_0e627_row0_col0\" class=\"data row0 col0\" >39592.499000</td>\n","      <td id=\"T_0e627_row0_col1\" class=\"data row0 col1\" >52814.665000</td>\n","      <td id=\"T_0e627_row0_col2\" class=\"data row0 col2\" >37629.449000</td>\n","      <td id=\"T_0e627_row0_col3\" class=\"data row0 col3\" >38536.309000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_0e627_level0_row1\" class=\"row_heading level0 row1\" >2016</th>\n","      <td id=\"T_0e627_row1_col0\" class=\"data row1 col0\" >22941.600000</td>\n","      <td id=\"T_0e627_row1_col1\" class=\"data row1 col1\" >54397.100000</td>\n","      <td id=\"T_0e627_row1_col2\" class=\"data row1 col2\" >32603.100000</td>\n","      <td id=\"T_0e627_row1_col3\" class=\"data row1 col3\" >59977.300000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_0e627_level0_row2\" class=\"row_heading level0 row2\" >2017</th>\n","      <td id=\"T_0e627_row2_col0\" class=\"data row2 col0\" >80773.900000</td>\n","      <td id=\"T_0e627_row2_col1\" class=\"data row2 col1\" >nan</td>\n","      <td id=\"T_0e627_row2_col2\" class=\"data row2 col2\" >nan</td>\n","      <td id=\"T_0e627_row2_col3\" class=\"data row2 col3\" >nan</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x7c0b62e2d900>"]},"execution_count":36,"metadata":{},"output_type":"execute_result"}],"source":["df[df['freight_to_india'] > 5000].groupby(['year','quarter'])['freight_from_india'].sum().sort_values(ascending=False).unstack().style.background_gradient(cmap='summer_r') "]},{"cell_type":"markdown","id":"31cf162a","metadata":{"papermill":{"duration":0.022383,"end_time":"2023-07-09T08:21:03.610972","exception":false,"start_time":"2023-07-09T08:21:03.588589","status":"completed"},"tags":[]},"source":["<div style=\"border-radius:10px; border:#DEB887 solid; padding: 15px; background-color: #f6f5f5; font-size:100%; text-align:left\">\n","<h3 align=\"left\"><font color='#DEB887'>🔍 Conclusions:</font></h3>\n","- No null values\n","- Highly positively skewed data\n","- The freight from India increases every year "]},{"cell_type":"code","execution_count":null,"id":"9d8c2618","metadata":{"jupyter":{"source_hidden":true},"papermill":{"duration":0.024444,"end_time":"2023-07-09T08:21:03.657626","exception":false,"start_time":"2023-07-09T08:21:03.633182","status":"completed"},"tags":[]},"outputs":[],"source":[]},{"cell_type":"markdown","id":"49d57792","metadata":{"papermill":{"duration":0.021454,"end_time":"2023-07-09T08:21:03.701746","exception":false,"start_time":"2023-07-09T08:21:03.680292","status":"completed"},"tags":[]},"source":["# <span><h1 style=\"font-size: 36px; font-family: 'Roboto Mono', monospace; font-weight: normal; background-color: #e9f7ef; color: #8f52a4; text-align: center; border-radius: 150px 150px;\">Univariate Analysis on Categorical Variables</h1></span><a class='anchor' id='EDA_Cat'></a>\n","<br>"]},{"cell_type":"markdown","id":"d7f59866","metadata":{"papermill":{"duration":0.022447,"end_time":"2023-07-09T08:21:03.748961","exception":false,"start_time":"2023-07-09T08:21:03.726514","status":"completed"},"tags":[]},"source":["<br>\n","<h2 style=\"font-size: 28px; font-family: 'Roboto Mono', monospace; font-weight: normal; background-color: #c7f9cc; color: #ef476f; text-align: center; border-radius: 150px 150px;\">Analysis on most common months and most common quarters</h2>\n","<br>"]},{"cell_type":"code","execution_count":37,"id":"242e811c","metadata":{"execution":{"iopub.execute_input":"2023-07-09T08:21:03.795763Z","iopub.status.busy":"2023-07-09T08:21:03.795428Z","iopub.status.idle":"2023-07-09T08:21:04.288889Z","shell.execute_reply":"2023-07-09T08:21:04.287976Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.519597,"end_time":"2023-07-09T08:21:04.291354","exception":false,"start_time":"2023-07-09T08:21:03.771757","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1200x500 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["fig, ax = plt.subplots(1,2, figsize=(12,5), sharey=True)\n","\n","ax[0] = sns.barplot(data=df, y = df['month'].value_counts().reset_index()['index'],  x = df['month'].value_counts().reset_index()['month'], ax=ax[0],\n","                    linewidth=1, edgecolor='black')\n","ax[0].set(title='Most Common Months for Air Travel', xlabel='Count', ylabel='Month')\n","\n","ax[1] = sns.pointplot(data=df, y = df['month'].value_counts().reset_index()['index'],  x = df['month'].value_counts().reset_index()['month'], ax=ax[1],\n","                     color = '#8187dc')\n","ax[1].set(title='Most Common Months for Air Travel', xlabel='Count', ylabel='Month')\n","\n","plt.show()"]},{"cell_type":"code","execution_count":38,"id":"b960999c","metadata":{"execution":{"iopub.execute_input":"2023-07-09T08:21:04.340402Z","iopub.status.busy":"2023-07-09T08:21:04.340093Z","iopub.status.idle":"2023-07-09T08:21:04.742638Z","shell.execute_reply":"2023-07-09T08:21:04.741316Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.430306,"end_time":"2023-07-09T08:21:04.745335","exception":false,"start_time":"2023-07-09T08:21:04.315029","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1000x400 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["fig, ax = plt.subplots(1,2, figsize=(10,4))\n","\n","ax[0] = sns.barplot(data=df, y = df['quarter'].value_counts().reset_index()['index'],  x = df['quarter'].value_counts().reset_index()['quarter'], ax=ax[0],\n","                    edgecolor='black', palette='deep')\n","ax[0].set(title='Most Common Quarters for Air Travel', xlabel='Count', ylabel='Quarter')\n","\n","ax[1] = sns.pointplot(data=df, y = df['quarter'].value_counts().reset_index()['index'],  x = df['quarter'].value_counts().reset_index()['quarter'], ax=ax[1],\n","                     color = '#ff6d00')\n","ax[1].set(title='Most Common Quarters for Air Travel', xlabel='Count', ylabel='Quarter')\n","\n","plt.show()\n"]},{"cell_type":"markdown","id":"3896bff7","metadata":{"papermill":{"duration":0.02253,"end_time":"2023-07-09T08:21:04.79105","exception":false,"start_time":"2023-07-09T08:21:04.76852","status":"completed"},"tags":[]},"source":["<div style=\"border-radius:10px; border:#DEB887 solid; padding: 15px; background-color: #f6f5f5; font-size:100%; text-align:left\">\n","<h3 align=\"left\"><font color='#DEB887'>🔍 Conclusions:</font></h3>\n","- The most common months for travel and freight transportation are Jan,Feb and March\n","- The most common quarter for travel and freight transportation is Q1 \n","- This could be because in our data, we have only Q1 of 2017 data, so that kind of adds some bias \n","- Well, this could also be because air travel and transportation are high during the beginning of the year "]},{"cell_type":"markdown","id":"0d6eba83","metadata":{"papermill":{"duration":0.022631,"end_time":"2023-07-09T08:21:04.836192","exception":false,"start_time":"2023-07-09T08:21:04.813561","status":"completed"},"tags":[]},"source":["# <span><h1 style=\"font-size: 36px; font-family: 'Roboto Mono', monospace; font-weight: normal; background-color: #e9f7ef; color: #8f52a4; text-align: center; border-radius: 150px 150px;\">Bivariate Analysis </h1></span><a class='anchor' id='BVA'></a>\n","<br>\n","<div style=\"border-radius:10px; border:#e7c6ff solid; padding: 15px; background-color: #f6f5f5; font-size:100%; text-align:left\">\n","    \n","Bivariate analysis is the examination of the relationship between two variables. Here are three key points about bivariate analysis:\n","- Relationship Exploration: Bivariate analysis helps uncover patterns, associations, or connections between two variables. It allows us to understand how changes in one variable correspond to changes in another variable.\n","\n","- Correlation Assessment: Bivariate analysis helps us assess the strength and direction of the relationship between two variables. It enables us to determine if the variables are positively, negatively, or not correlated at all.\n","\n","- Visual Representation: Bivariate analysis often involves the use of visualizations such as scatter plots, line graphs, or heatmaps. These visual representations provide a clear and concise way to understand the relationship between the two variable"]},{"cell_type":"markdown","id":"92a9de01","metadata":{"papermill":{"duration":0.022169,"end_time":"2023-07-09T08:21:04.880882","exception":false,"start_time":"2023-07-09T08:21:04.858713","status":"completed"},"tags":[]},"source":["<br>\n","<h2 style=\"font-size: 28px; font-family: 'Roboto Mono', monospace; font-weight: normal; background-color: #c7f9cc; color: #ef476f; text-align: center; border-radius: 150px 150px;\">Analysis on passengers to India and passengers from India</h2>\n","<br>"]},{"cell_type":"code","execution_count":39,"id":"6ee3aefb","metadata":{"execution":{"iopub.execute_input":"2023-07-09T08:21:04.930087Z","iopub.status.busy":"2023-07-09T08:21:04.9295Z","iopub.status.idle":"2023-07-09T08:21:05.191551Z","shell.execute_reply":"2023-07-09T08:21:05.190143Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.290479,"end_time":"2023-07-09T08:21:05.194213","exception":false,"start_time":"2023-07-09T08:21:04.903734","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAiwAAAHFCAYAAADR1KI+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAACAFUlEQVR4nO3dd1RU19oG8OfMDL1LBwuCQkAREBuKXWNNLImJ3sSSGBNT1RRjYj5v1JuQZqrXRJNcYzQxRU1U7F0xIvaKvdGEoUiHaef7Az04FGUQZgZ4fmuxlvtlnzPvjAPzss/e+wiiKIogIiIiMmMyUydAREREdD8sWIiIiMjssWAhIiIis8eChYiIiMweCxYiIiIyeyxYiIiIyOyxYCEiIiKzx4KFiIiIzB4LFiIiIjJ7LFgauDVr1iAoKEj6CgkJQa9evfDOO+8gPT3d1Ok1Od999x22b99e5+ft168fXnjhhTo956xZs9CvXz+9WFBQEL755ps6fZz61K9fP733f0REBMaMGYO///7b1Kk1SRs3bsSwYcPQoUMHBAUFITEx0dQpVevO785Tp07V2TmTk5MRFBSENWvWSLFvvvkGQUFBdfYYTZnC1AlQ3YiJiYG/vz9KSkpw+PBhLF68GAkJCVi/fj1sbW1NnV6TsXjxYgwaNAgDBgwwdSq18vvvv8PLy8vUaRikY8eOePvttwEAN2/exP/+9z+8/fbbKCoqwr/+9S8TZ9d0ZGdnY+bMmYiOjsa///1vWFpaws/Pz9RpmdyYMWPQs2dPU6fRKLBgaSTatm2L0NBQAEC3bt2g1WqxaNEibN++HY8++qiJs2s4SkpKYG1tbeo0TCY8PNzUKRjM0dFRL+/u3bujb9+++Omnn1iwGKCkpARWVlYQBKFWx1+9ehVqtRqPPvoounTpcs++xcXFsLGxqdXjNDReXl4N7o8Ac8VLQo3UnV/gqampAICFCxdizJgx6NKlCzp27IhRo0bhzz//RMV7Xx44cADjx49H165d0aFDB/Tp0wevvvoqiouLpT6//vorHn30UURERCAiIgKDBw/G559/rncepVKJOXPmoFevXmjfvj369euHhQsXQqPRSH3uDJ/++OOPWLp0Kfr164eIiAg8+eSTOH78eKXn9Mcff2DQoEFo3749hg4divXr11d5WUOlUmHRokUYPHgw2rdvj27duuGdd95Bdna2Xr87l1m2bt2KkSNHIjQ0FAsXLgQAbNq0CWPGjEFkZCTCwsLQv39/vPPOO/d8zYOCglBUVIS//vpLukQxfvx46fsXLlzAiy++iM6dOyM0NBQjRozAX3/9dc9zVsfQ127NmjXSazdkyJBqL5lUvCSUnZ2N999/H0OHDkVERASioqIwYcIEHD58+L45vvTSS+jbty90Ol2l740ZMwajRo2S2rV5vavj6OiI1q1bS+/9U6dOYcaMGejXrx86dOiAfv364fXXX0dKSoreccXFxfj444/Rr18/hIaGokuXLhg9ejRiY2OlPklJSZgxYwaio6PRvn17dO/eHRMnTqx06WPjxo148sknER4ejoiICEyePBlnz57V6zNr1ixERETg+vXrmDJlCiIiItC7d2989NFHUKlUen1v3ryJ1157DREREejUqRPeeOMNnDx5stLlhzvPd+rUqejSpQtCQ0MxcuRIbNy4Ua/PncshcXFxeOedd9CtWzeEhYVBpVIhOzsb//d//4fevXtLPz9jx47FP//8U+1rPmvWLKk4nDFjht57/87zPH/+PJ599llERERg0qRJAIBbt27h/fffR8+ePdG+fXv0798fX3zxRaXnHxQUhHnz5mH16tUYNGgQOnTogNGjR+P48eMQRRE//PCD9DMwYcIEXL9+vdpc78WQ/5P09HRMmzYNERERiIyMxPTp05GZmVnpnFVdEtq4cSOeffZZREdHo0OHDhgyZAg+++wzFBUV1SrvpoIjLI3UnR/YZs2aAQBSUlLw5JNPwsfHBwBw/Phx/Oc//0F6ejpeeeUVAGUfgi+88AI6deqEDz74AI6OjkhPT8e+ffugVqthY2ODDRs2YO7cuRg/fjzefvttyGQyXL9+HZcuXZIeW6lUYsyYMZDJZHj55ZfRsmVLHDt2DN9++y1SUlIQExOjl+svv/wCf39/vPvuuwCAr776Cs8//zx27NgBBwcHAGWXKubMmYNBgwbhnXfeQX5+PhYuXAi1Wq13Lp1Oh5deeglHjhzB5MmT0bFjR6SkpOCbb77ByZMnsXr1ar0RlDNnzuDy5ct48cUX0bx5c9jY2ODYsWOYMWMGhg4dildeeQVWVlZITU1FfHz8PV/z33//HRMnTkTXrl3x0ksvAQDs7e0BAFeuXMHYsWPh6uqK2bNnw8XFBevWrcOsWbOQmZmJKVOmGPC/a9hrt2bNGrzzzjvo378/Zs2aJb12KpUKMtm9/2a5desWAOCVV16Bm5sbioqKsG3bNowfPx4//fQTunbtWu2xjz32GF566SXEx8eje/fuUvzy5cs4efIk3nvvPQCo9etdHbVajdTUVLi4uAAoe++3bt0aw4YNg5OTE5RKJVauXInHH38cGzZskH5GYmJisG7dOkyfPh3BwcEoLi7GhQsXpNcAAKZMmQKdToe33noLPj4+yMnJwbFjx5CXlyf1+e677/Dll19i9OjRePHFF6FWq/Hjjz/iqaeewp9//ok2bdro5friiy/i8ccfx7PPPotDhw5h0aJFsLe3l34ui4qKMGHCBOTm5uLNN99Eq1atsG/fPsyYMaPSc4+Pj8dzzz2HsLAwvP/++3BwcMDGjRsxY8YMlJSUYPTo0Xr93333XfTp0weffPIJiouLoVAo8NZbb+Hs2bOYMWMG/Pz8kJeXh7Nnz+q9DhW99NJLCA0Nxbx58/D666+ja9eu0nv/7uc5duxYTJkyBVqtFqWlpZgwYQKSkpLw6quvIigoCIcPH8aSJUuQmJiIJUuW6D3G7t27cfbsWbz55psQBAGffvopXnjhBYwcORJJSUmYM2cO8vPz8dFHH+HVV1/F2rVrazVaVJP/k5KSEjzzzDPIyMjAG2+8AT8/P+zevbvK/5OqXLt2Db169cLEiRNhY2ODK1eu4Pvvv8fJkyfx888/G5xzkyFSg7Z69WoxMDBQPH78uKhWq8WCggJx165dYrdu3cSIiAhRqVRWOkar1YpqtVpcuHCh2KVLF1Gn04miKIqbN28WAwMDxcTExGofb968eWKnTp3umdP//d//ieHh4WJKSope/McffxQDAwPFixcviqIoiklJSWJgYKA4fPhwUaPRSP1OnDghBgYGirGxsVK+PXr0EMeMGaN3vpSUFLFdu3Zi3759pVhsbKwYGBgobtmyRa/vyZMnxcDAQPGXX36RYn379hWDg4PFK1euVJlnXl7ePZ9nVcLDw8W33367UnzGjBli+/btxdTUVL34c889J4aFhd33sfr27Ss+//zzUtuQ1y46OlocNWqU9P8siqKYnJxc6bUTRVEMDAwUv/7662rz0Gg0olqtFidOnCi+/PLL98xZrVaL3bt3F19//XW9+CeffCK2a9dOzM7OFkXxwV7vvn37ilOmTBHVarWoVqvFpKQk8e233xYDAwPFjz/+uNrnUFhYKIaHh4vLli2T4sOHDxdfeumlah8rOztbDAwMFH/66adq+6SmpoohISHi/Pnz9eIFBQVijx49xGnTpkmxO3lu3LhRr++UKVPEQYMGSe0VK1aIgYGB4p49e/T6/d///Z8YGBgorl69WooNHjxYHDlypKhWq/X6vvDCC2KPHj1ErVYrimL5742ZM2dWeg7h4eHiBx98UO1zrE58fLwYGBgobtq0SS9+53muWrVKL75y5coqn/+SJUvEwMBAMS4uTooFBgaKPXr0EAsLC6XYtm3bxMDAQHHEiBF67+2ffvpJDAwMFM+dO3fPfO+8BidPnqyU6/3+T3799VcxMDBQ3L59u16/9957r9L/yddffy0GBgZWm4dOpxPVarWYkJBw39+/TV2juyR06NAhTJ06FdHR0QgKCjJ4xcad4buKX+Z+bf+JJ55Au3bt0LFjR7zwwgtwc3PD999/Dzc3NwBll3omTZqEyMhIBAcHo127dvj6669x69YtZGVlAQCCg4NhYWGB//u//8Nff/2FpKSkSo8TGhqKvLw8vP7669i+fXulyyxA2V9CXbt2hYeHBzQajfTVq1cvAEBCQoJe/z59+kAul0vthx56CACkIfurV69CqVRiyJAhesf5+PggIiJCL7Zr1y44Ojqib9++eo8dHBwMd3f3So8dFBSE1q1bV3qOADB9+nRs3LixTlZbxcfHIyoqCt7e3nrxUaNGobi4GMeOHavVeWvy2mVkZGD48OF6f236+vpWeu2qs3LlSowaNQqhoaEICQlBu3btcODAAVy+fPmexykUCjz66KPYtm0b8vPzAQBarRZr165F//79pRGQB3299+zZg3bt2qFdu3bo378/Nm3ahPHjx2P69OkAgMLCQnz66acYOHAgQkJCEBISgoiICBQVFek9h9DQUOzduxefffYZDh48iJKSEr3HcXZ2RsuWLaXLcGfPnq10uSsuLg4ajQYjRozQe/9ZWVmhc+fOld5/giBUuVLrzuUsoOx3mp2dnfTzc8fw4cP12tevX8eVK1fwyCOPAEClnz2lUomrV6/qHfPwww9Xej07dOiAv/76C4sWLcLx48crjWLW1qBBg/Ta8fHxsLW1xeDBg/Xid0aBDhw4oBfv2rWr3gKCgIAAAECvXr303tt34ne/hoaoyf/JwYMHYWdnh/79++v1q/h/Up2kpCS88cYb6NGjh/T7+OmnnwZQNhpLVWt0l4SKiooQFBSE0aNH49VXXzX4+GeffRZjx47Vi02aNEn6pWquPv74YwQEBEChUMDV1RUeHh7S906ePInJkyejS5cumD9/Pry8vGBhYYHt27fju+++k34xt2zZEj/99BN++OEHzJs3D0VFRWjRogXGjx+PiRMnAgBGjhwJrVaLP//8E6+99hp0Oh1CQ0Mxffp09OjRAwCQlZWFXbt2oV27dlXmmpOTo9d2dnbWa1taWgIASktL9fq7urpWOpebm5veXISsrCzk5eWhffv2NXpsd3f3Sn06d+6M//73v1i+fDnefvttqFQqtG3bFlOnTq3xL6SKbt26VeVj3fl/utdw+73U9LW7U7jereJrV5WlS5fio48+wtixYzFt2jS4uLhAJpPhq6++qtEv1sceewz/+9//sGHDBowdOxZxcXFQKpV6lyYe9PWOjIzEO++8A0EQYGNjgxYtWkivAwC88cYbiI+Ply5b2NnZQRAEPP/889LrBADvvfcevLy8sHHjRnz//fewsrJCdHQ0Zs6cCT8/PwiCgJ9++gn//e9/8cMPP+Cjjz6Cs7MzHnnkEUyfPh329vbSHIbHH3+8ylwrXoKzsbGBlZWVXszS0lIvr1u3blX5/1fx5+HOY3/88cf4+OOPq3z8mrz/v/jiC3z77bdYtWoVvvrqK9ja2mLgwIF46623quxfEzY2NnqXiIDy51Xxso2rqysUCkWlnwknJye9toWFxT3jd7+GhuZa2/+TqmIVFRYW4l//+hesrKwwffp0+Pn5wdraGjdv3sQrr7xSqVCmco2uYOnduzd69+5d7fdVKhW+/PJLrF+/Hvn5+Wjbti3efPNN6Vq8nZ0d7OzspP7nzp3DpUuXMHfu3HrP/UEEBARUW1Rt2LABCoUCixcv1vtBrGr0qVOnTujUqRO0Wi1Onz6N5cuX48MPP4SbmxuGDRsGoOxD6LHHHkNRUREOHTqEb775Bi+88AK2bNkCX19fuLi4ICgoSPoLt6K7i6mauPOX+J2RoLtVnOTm4uICZ2dn/PDDD1We6+7/WwDVXuMeMGAABgwYAJVKhePHj2Px4sV44403DBqZuJuzszOUSmWleEZGhpR3fbhz3qomA1YVq2jdunXo0qVLpfd/YWFhjR6/TZs26NChA9asWYOxY8di9erV8PDwQHR0tF6/B3m9HRwcqn3v5+fnY/fu3XjllVfw/PPPS3GVSoXc3Fy9vra2tnjttdfw2muvITMzE3v37sWCBQswdepUbN68GUDZyNSHH34IoGz0atOmTdJ8oHnz5kmv99dffy3NF3tQzs7OOHnyZKV4Ve99AHjhhRcwcODAKs9VcTSxqvd/s2bNMHv2bMyePRupqanYuXMnFixYgKysLPz444+1eg5VPY6zszNOnDgBURT1vp+VlQWNRlNvPxN1oab/J1WJj49HRkYGli9frrea6s4oJFWv0V0Sup933nkHR48exRdffIF169Zh8ODBeO6553Dt2rUq+//555/w8/NDp06djJtoHRIEAXK5XO+vu5KSEqxbt67aY+RyOcLCwvDvf/8bQNnk1IpsbW3Ru3dvTJ06FWq1Wpp426dPH1y4cAEtW7ZEaGhopS9PT0+D8m/dujXc3d2xadMmvXhqamqlSyl9+vTBrVu3pJGfil/+/v4GPbalpSW6dOmCt956CwAqrfSoqn9VfyFFRUUhPj6+0uWOtWvXwsbGpt4uOd557WJjY/VWhKWkpNToMpQgCHqjFUBZEV/VSqTqjB49GidOnMDhw4exa9cujBo1Su8y1t0Mfb3vRxAEiKJY6Tn8+eef0Gq11R7n5uaG0aNHY9iwYbh69areKrk7WrdujZdeegmBgYFSntHR0VAoFLhx40aV77/ajNR27twZhYWF2LNnj158w4YNem1/f3/4+fnh3Llz1T52xVGO+/Hx8cHTTz+N7t27P/D/RUVRUVEoKiqq9IfTnRVsUVFRdfp4dalr164oLCzEjh079OJ3ryirzp3irOJ78rfffqu7BBupRjfCci83btzAhg0bsGfPHulDc/Lkydi3bx/WrFmD119/Xa+/SqXC+vXra72Cw1z07t0bS5cuxRtvvIEnn3wSt27dwo8//ljpB2blypWIj49Hnz594O3tjdLSUqxevRoApFUe7733HqytrdGxY0e4u7tDqVRiyZIlen/lvvbaa/jnn38wduxYjB8/Hq1bt4ZKpUJycjL27t2LuXPnGrQvgUwmw6uvvoo5c+bgtddew2OPPYa8vDwsXLgQ7u7uen+dDRs2DOvXr8fzzz+P8ePHo0OHDrCwsMDNmzdx8OBB9O/fv9q/Pu/46quvcPPmTURFRcHLywt5eXn4+eefYWFhcd/9JQIDA5GQkICdO3fC3d0ddnZ28Pf3x8svv4xdu3ZhwoQJePnll+Hk5IT169dj9+7deOutt6QVPXVNJpNh2rRpeO+99/Dyyy/jiSeekF67mgxf9+nTB4sWLcLXX3+Nzp074+rVq1i0aBGaN29+zw/8uw0fPhwfffQR3njjDahUKr3lzMCDvd73Y29vj86dO+PHH3+Ei4sLfH19kZCQgFWrVsHR0VGv75gxY9CnTx8EBQXByckJly9fxtq1axEREQEbGxucO3cO8+fPx+DBg9GqVStYWFggPj4e58+fl0Zvmjdvjtdeew1ffvklkpKS0KtXLzg6OiIzMxOnTp2CjY0NXnvtNYOew6hRo7Bs2TLMnDkT06ZNQ6tWrbB3717ExcUB0L/MNHfuXEyZMgWTJ0/GqFGj4OnpidzcXFy+fBlnzpzB119/fc/Hys/Px4QJEzB8+HD4+/vDzs4Op06dwr59++77c2OokSNH4pdffsHbb7+NlJQUBAYG4siRI1i8eDF69+6tt7LM3IwcORI//fQT3n77bcyYMQOtWrXCnj17pP+Te4mIiICTkxP+/e9/45VXXoFCocD69etx/vx5I2TesDWpguXMmTMQRbHSJC+VSlVpLgAAbN26FYWFhRg5cqRxEqwnUVFR+PDDD/H9999j6tSp8PT0xBNPPCEN/d4RHByM/fv345tvvoFSqYStrS0CAwPx7bffSkP4nTp1wpo1a7Bp0ybk5ubCxcUFkZGR+Pjjj6XloR4eHli1ahUWLVqEH3/8Eenp6bCzs4Ovry969uxZ6YOiJp588kkIgoAffvgBL7/8Mnx9faXlu2lpaVI/uVyOb7/9Fj///DPWrl2LJUuWQC6Xw8vLC507d0ZgYOB9HyssLAynT5/GZ599huzsbDg6OqJ9+/b46aef0LZt23seO3v2bMydOxevv/46iouL0aVLFyxfvhz+/v747bff8Pnnn2PevHkoKSlBQEAAYmJiKi01rWtjxowBAPzwww945ZVX4OvrixdeeAGHDh2qNAm0oqlTp6K4uBirVq3CDz/8gDZt2uD999/H9u3b73vsHQ4ODhgwYABiY2PRsWPHSpclHuT1rokFCxbggw8+wKeffgqNRoOOHTti6dKllW510K1bN+zcuRPLli1DcXExPD09MXLkSEydOhVA2XyPli1b4tdff8XNmzcBAC1atMDbb7+tt9/OCy+8gICAAPz888/YsGEDVCoV3N3d0b59e4wbN87g/G1tbbFs2TJ8+OGH+PTTTyEIgrSb7PPPP69X7Hbr1g1//vknvvvuO3z44YfIy8uDs7MzAgICKk1ar4qVlRU6dOiAtWvXIiUlBRqNBt7e3pgyZQqee+45g3O/32P9/PPP+OKLL/DDDz8gJycHnp6eePbZZ6Xlw+bKxsYGP//8Mz744AN89tln0v/J559/XmkOZEUuLi5YvHgxPv74Y7z11luwsbGR9p+pWMyTPkEUK+wc1ogEBQXhv//9r7RN+saNG/Hmm28iNja20pC0ra1tpQllEydOhL29Pf773/8aLWequby8PGkb/Pnz55s6HSKjurPfy+7du7mTKjUJTWqEJTg4GFqtFtnZ2fedk5KUlISDBw/i22+/NVJ2dC9KpRLfffcdunbtCmdnZ6SmpuKnn35CYWEhJkyYYOr0iOrVihUrAJTNU1Gr1YiPj8fy5cvx6KOPslihJqPRFSyFhYW4ceOG1E5OTkZiYiKcnJzQunVrPPLII5g5cyZmzZqF4OBg5OTkID4+HkFBQXqri1avXg13d/dKex+QaVhaWiIlJQVz585Fbm4urK2tERYWhrlz59bJZQMic2ZtbY1ly5YhOTkZarVaukzz4osvmjo1IqNpdJeEDh48WOVf3KNGjcJHH30EtVqNb7/9Fn///TcyMjLg7OyM8PBwaWtooGx79759+2LkyJE13mqZiIiI6k+jK1iIiIio8Wly+7AQERFRw8OChYiIiMweCxYiIiIyeyxYiIiIyOw1umXNWVn54DRiIiKihkEQAFfX+9+epNEVLKIIFixERESNDC8JERERkdljwUJERERmjwULERERmT2D5rAsXrwYW7duxZUrV2BtbY2IiAi8+eab8Pf3r/aYWbNm4a+//qoUb9OmDTZs2AAAWLNmDd55551KfU6ePAkrKytDUiQiogZIp9NBq9WYOg2qB3K5AjLZg4+PGFSwJCQk4KmnnkJoaCi0Wi2++OILTJ48GRs2bICtrW2Vx8yePRtvvPGG1NZqtRgxYgQGDx6s18/e3h6bN2/Wi7FYISJq3ERRRF5eNoqLC0ydCtUjGxt7ODo2gyAItT6HQQXLjz/+qNeOiYlBVFQUzpw5g86dO1d5jIODAxwcypcrbd++Hbm5uRg9erReP0EQ4O7ubkg6RETUwN0pVuztXWBpafVAH2hkfkRRhEpVioKCHACAk5Nrrc/1QMua8/PzbyfgVONjVq1ahe7du8PX11cvXlRUhL59+0Kr1SI4OBjTpk1DSEjIg6RHRERmTKfTSsWKvb2jqdOhemJpWXa1pKAgBw4OLrW+PFTrgkUURcTExCAyMhKBgYE1OiYjIwN79+7FZ599phf39/dHTEwMgoKCUFBQgJ9//hnjxo3D2rVr4efnZ1BeLM6JGpniQggFuRAVFoCzKyBwrUBjodNpAZR/oFHjdef/WKfTQC631PteTT+3a12wzJs3DxcuXMCvv/5a42P++usvODg4YMCAAXrx8PBwhIeHS+2OHTti1KhRWLFiBd577z2D8qrJbnlEZP40F89AtWsDtOdOSLtBCi5usOjeH5Y9B0GwsjZxhvSgSkpKkJ0tg0JR9kWNl04ng0wmg4uLHayta/ezW6uCZf78+di5cydWrFgBLy+vGh0jiiJWr16NESNGwNLS8p59ZTIZQkNDce3aNYNz49b8RA2f/J/NUOyqvLpQzMmEasPvKDkUB/W46QAvIzRoarXq9uogERqNztTpUD3SakXodDrk5BTCwkKt972abs1vUEkriiLmzZuHrVu3YtmyZWjRokWNj01ISMD169fx+OOP1+hxEhMTazUJ987W/PziF78a5pdw9kiVxcrdZBkpsFj9HUSdaPJ8+fVgX3VBFEXkqYuQrcqHWtc0l0Y//vgj+OOP8ise0dGdsHfvbtMlVI0HeR8YNMIyd+5cxMbGYtGiRbCzs4NSqQRQthLozhDPggULkJ6ejk8++UTv2FWrViEsLKzK+S4LFy5EWFgY/Pz8pDks586dw7///W9D0iOihk4UoYjbUKOusuTLkF07B13r4HpOisxVqVaNfZlnsVd5GhmluQAAC0GOyGZtMMAjDM1t3er8MaOjO93z+0OGDMfs2e/X+Hw//rgY+/btwU8/1Xx6RU2sXbsZDg6NawTSoIJl5cqVAIDx48frxWNiYqRlykqlEmlpaXrfz8/Px9atWzF79uwqz5uXl4c5c+ZAqVTCwcEBISEhWLFiBTp06GBIekTUwAlp1yFTptS4v/zEfhYsTVSeughfXVyPlOIsvbha1CI+6zwSsi5gvF9fRLk+VKePu3Zt+X5hO3Zsw48/fodff10txazMZG6Vq2vdF2umZlDBcv78+fv2+eijjyrFHBwccOLEiWqPeffdd/Huu+8akgoRNRaiCCEnA0LyFchP/WPQoUJ2ej0lReZMJ+qw6NLGSsWKXh+I+PnaLjSzdECQg2+1/Qx1dyFgb28PQRD0Yn/9tQorVy5HRkY6vL19MHHiZAwePKzG5//gg/dRUJCP0NBw/P77CqjVGvTv/zCmTXsDCkXZR3ZOTjZiYubj8OEEuLq6YsqUFyudJzq6Ez788DP06tUHALBo0dfYu3c3lMp0NGvmhocfHoxnnpkinbMhaDiZElHjoFaVjaSkXIYs+QpkyZch1HaXU+5j0CSdzr2Ba0UZ9+0nQsTGtMN1WrDcy549u/DVV5/htdfeQKdOXfDPP/sQEzMPHh6e6Njx3peS7nb06GG4urrh668XIzk5Cf/+9zto2zYQjz46CkBZUZORkY6vv/4WCoUFvvrqU+TkZN/znLa2tpg9+99wc3PH5cuX8MknH8DW1hZPPTXxgZ6zMbFgIaL6lZdTNt8k5QpkKZch3LwBQVc3K0J0njWf+E+NR1zm2Rr3PZ+fAmVpLtytnOoxozK//bYcQ4Y8gtGjxwAAWrZshTNnTmPlyuUGFSwODo6YMWMm5HI5WrXyQ1RUNI4cScCjj47CjRvXER//DxYv/gnt2rUHAMyaNQdPPXXvBS2TJj0n/dvb2wc3blzDjh3bWLAQUROl1ULISJJGTmQplyHk5Rh0ChFATcdNtBG9DE6RGr60EsPeU2nFOUYpWK5du4ZHH9W/7UxoaBj+/PM3g87TurU/5HK51HZ1dcOVK5cAANevX4VcLsdDD5XP3WrVyg/29vdeFrxr13b88cdKpKQko7i4CFqtFra2dgblZWosWIio9ooKyi/tpFyBkHoVgkZ9/+PuItrYQefrD52vP8TmARC1Glj+sfC+ozDahyIherd6kOyJjEA0+MplxXklgiBAd/vn4c4SYEPuuXT69Cm8//5sPPvs8+jaNQp2dvbYsWMrfvtthWGJmRgLFiKqGVEHIfNm2ZyTO0VKLSa96ty8oWseANHXHzrfAIiuHpW2289/ZAJs1/8MRTVFiwhA031wld+jxq+5jSuUt5cx14SPTbN6zKacn58fTp48gSFDhkuxU6dOws+vdZ0+hlarxblzZxESUnZJ6MaNaygoyK/2mFOnTsDT0wsTJ06WYjdvplXb31yxYCGiqpWWQJZ6FcLtSzuylKsQSosNOoVoYQWdjx/E5gHQNQ+Azqc1YHPvYehCTQk+wzWoewSif1IWuqfmwEmlgQ7lO10KAPL2rILDk6/X6qlRwxbtFoJjt67UqG+IYwu4WRlnP5Jx4yZgzpxZCAoKQmRkF+zfvxd79+7CF1/8t84eo2VLP3Tt2h0ff/wBZs6cDblcjq+/XgArq+rvx9S8eXOkp9/E9u1bEBzcDv/8E2eWm8rdDwsWIipbWnwrs3zkJPkyBGUKBAO3ItU5u90eOfEvG0Xx8AVk8vsfeJd1qQllcxRsrfB7kA9+D/KBTCfCXqXGp3HnYaUtG3Vxv3wet9KuwNrb36DzU8MX7NgCbe19cLEg9Z79ZJBhmHfNJ7s+qF69+mDatDfx66/L8eWXn8Hb2wfvvDPHoAm3NfHuu3Pw8cf/wauvPg8Xl2aYMuVF/PBD9aOdPXv2wZNP/gtffPEJVCo1unfvgUmTJuN//1tSp3nVN0EU62pzZPOQmcl7CRHdl0atv7Q45QqEwjyDTiHKFRC9WpaNnNwuUGD/YBMbi7UqzDr5E0qr2V59zPlUDLumlNppfq3h8q9ZD/SYZDpqtQpZWWlwdfWGhcW97zFXUYGmBAsvxla7vFkhyPBM64GIdAmoi1TpAd3r/1oQADe3+99LiCMsRE1B/q2yZcV3Vu6k3YCg0xp0CtHOsaw4uV2giF4tAYVFnaZ5IT+l2mIFADa19kC/pCzY3B5l8b52FaU3b5TlQk2KvcIabwSNQnzWeexVnkZScSYAwEZuia7NgtDXIxSe1s6mTZLqFAsWosZGp4WQkVJWnNze/0TIrX5H0KqIggDRo3n5pZ3mARCdXOtlozadKCKpSImzeUmIz7r3btoFlgpsa+WGR6+U/1Wt2BcL9ZiX6jwvMn8WMjl6uoegp3sIVDoNNDotrOWWkHFDwUaJBQtRQ1dcKI2eCClXyibKqlUGnUK0ttVbWqzz9gPq8Z4ot1SFSMxPwtncJCTmJ6FAU1LjY7e0cseAG5mw1ZSNssgvnoAm7RpEb796ypYaAkuZApYyfqQ1ZvzfJWpIRB2ErPTy4iT5CmRZhi9P1DXzlEZOdL7+EN28Ki0trktqnQYXC9JwNu8GEvOSkFJ8723E76XQUoGtrdwx8nL5JEPF3vVQP/lqXaRKRGaKBQuROVOVQJZ6/fbqnduXd0qKDDqFqLCAzqe1VJzofP0BW/t6Svj2Y4oi0kpycDYvCWfzbuBifirUYs3mzFjLLFGiu/cI0dZW7hh4PRN2mrJzyi+fhiblCkRfrhgiaqxYsBCZC1GEkJt1e+SkrEARMlIgiIbdd0d0bKa3ckf0aA7IDVtaXBsFmhKcy0uWRlFy1IU1Os5KZoEgB1+EOLZAiGNLOFjY4PPzf0uTKKtSZCFHZkQU7A7FSTHF3vVQj5v2wM+DiMwTCxYiU9GoIaQn3S5Obt8YsKDmu3cCgCiT315aXLZrrM7XH3B0qaeE9WlFLa4WZpSNouTewPWiDNRkRwEBQAtbd4Q4tkA7x5ZobecJRYW9WmYEjsCvN/bgSM5liNWc9Ub7MLQ8fQxCcVlhJL96FpqkSxBbtHnAZ0ZE5oj7sBAZS0HuXUuLr0BIuw5BW/0S3qqItg7lxUnzgLLlvAbuX/EgMkvzcDbvBs7kJeF8Xsp9L93c4WRhi+DbBcpDDs3hYGFTo+OySvNxOOciclSFyFbl42TuNel77laO+CDPFZa7/5Zi2lZBUD/F3W8bigfZh4UaFu7DQmSudDoIypTykZPky5Ddqv4SR1VECBA9fMsv7fj6Q3Rxr5elxdUp0apwIT8VZ/Ju4GxeUo3v36IQ5Ghr711WpDi1hI91M4Nu1naHq5UDBnl1BFC2/PmDxN+lCbvK0jwcaB2KXgftIRQXAADk189De+08dH5BBj8WEZk3FixEdaGk6PboyZWyCbKpVyGoSg06hWhlDZ2PP3TNby8t9mkNWNVsJKKu3L0nytm8JFwpvAltDefQeFu7IMSxJUIcW6CtgzcsZXW7qZxMEDDcuzMWX9kixdZnnkK3qIGw2vmXFFPsWwdVqzeNWtiRiel0EG5lAho1RAfn+96viu4tLS0VY8Y8iqVLf0HbtkE4evQwXnttKjZt2gUHh/uPhNQXFixEhhJFCNnpZZd1bs8/ETLTINRoBkc5XTMPiL4B0iUe0c0bkNXf0uLq5KoLpQLlXF4y8jU1u8GhndwKDzk2l4oUF8v6XXkEAGHO/mhh4yZNyM1U5WG/Xyj62jlKtxaQJV2C7No56FoH13s+ZGIlRVAk7ID8+D5p/pcoyKBr2wGargPrbT7TBx+8j02bYivFf/vtLzRv3qJeHrOmXnnlebRtG4Rp096os3OGhoZh7drNsLev/5/xe2HBQnQ/ahWE1Gu377tze/5Jcc1WwNwhKiwgere6vXrn9uRYO9P8paLWaXCpIE1aclzTPVFkEOBv74VgxxYIcWyBVrbukNXj3i1V5iAIGObTGd9d3iTFYpUn0KPbw7DasUqKKfaug8rvIY6yNGZ52bD89QvIsvXvJSSIOsgvHIfswgloHn4S2k596+Xhu3btjnffnaMXc3auPOFdrVbDwqJuRxuNzcLCAq6ubqZOgwULUSV52ford9KTIOgMXFrs4FxenDQPgOjZHJCb5sft7j1REvOScCE/FWqxZpN93Swdy5YbO7VAkIMvbOTV38LeWMKc/NDS1h03ispugpitKsC+lh7ob+8MoeAWAJRdnrtyBrqA9ibMlOqNTgvLP/5bqVi5mwARFlt/g+jiXi/vA0vLqj/EX3nlefj7B8DCwgKbN29A69YBWLhwCY4dO4JFi77CpUsX4ejoiMGDh2PKlBehUCik4wIC2kAmk2PTplhYWFjgueem4uGHh+CLLz7Brl074OLighkzZiIqqkeN83z88Ufw6KOjkJychF27dsDBwQETJ07GiBGjpT5nz57Gp59+iOvXr6F16wBMmPCs3jkqXhLKzb2Fzz//BCdPHkdeXi58fZtj/PhnMHDg4Fq+mjXDgoWaNq2m8tLi/FsGnUIUZBC9WtwuTm7ftdixWf3kW0OFmhIkPuCeKMGOLeBh5VSrybL1SRAEPOLTGf+9tFGKbVAeR3TUIFhv+12KKfauh8q/HUdZGiHZhROQZSTXqK9i/yaojFy4btq0AaNGPYZvv/0RoggolRl4661pGDLkEbz33jxcv34Nn3zyH1haWmLy5Bf0jvvXv8bj+++XYceOrViw4CPs27cbvXr1xfjxz+D333/Ff/4zB6tXb4C1dc1vnfHbb7/gueemYsKEZ7Fr1w4sWPARwsM7olUrPxQXF2PmzBmIjOyE//u/+UhLS8VXX312z/OpVCoEBQXj6acnwtbWDgcOxOE///k3fHyao127+nutWbBQ01KYX/bX9+3LO0LadQgatUGnEG3s7ho98S+7h42Jl2RqRR2uFqYbvCcKALS8vSdKiGML+Nt5VdoTxRy1d2wFP1sPXCsq+ws7R12IPc2b4WEHFwj5OQAAWdo1yC6dgq5tB1OmSvVAfmJ/jfvKki9ByLoJ0dWrTnP45584DBzYU2p37dod//nPxwCA5s2b46WXyjcxXLz4v/Dw8MTrr8+EIAho1coPmZlKfPvtN3jmmSmQ3Z671qZNW0ya9BwAYPz4Z/DLL8vg5OSMRx8dBQB45pnn8Pffq3Dp0kW0bx9a41yjorpj9OgxAICnn56IP/74FceOHUarVn7YunUTdDod3nnn37C2toa/fwCUynR89tlH1Z7P3d0D//rXeKn9+ONjcfDgAezatZ0FC1Gt6HQQMtNuzzu5DCH5CmQ51Q8hV3saN5/ylTu+ARCbeZjFX+1le6KUzUM5Z4Q9UcxJ2ShLF3xzqXzi40blCfTuPgjWW36TYoq966BqE2oW/19Ud4Ts9Pt3qtC/rguWiIhIvPnmO1Lb2rr85+ihh0L0+l6/fg3t23fQG60MDQ1DcXERMjIy4OVVlltAQFvp+3K5HI6OTggIKJ843KyZKwDg1i3D7sV193kFQUCzZq7Iycm5ndtVtGnTVm/Epl27exf5Wq0WK1b8hJ07t0GpVEKtVkGlUum9BvWBBQs1HiXFZcuJU25f3km9AqG05ncBBgDR0go6H3+Ity/t6HxaA9a29ZSwYUq0alzIT8GZ25d5MgzYE6WNvXfZzrIPsCeKuSkbEfLElcKyD69cdSF2+ThjsJMrhNwsAIAsPQmyCyegCwo3YaZU5wx9/9bD5HAbG5tqVwRV/OCuen/WstjdT+XOfJY7BEHQi935udXpDFuRWNV5dbfn5dVmo9XffluBP/74Fa+99gb8/dvAxsYGX3+9ABoDR6sNxYKFGiZRhJCjLC9Oki9DUKYavrTY2U0aOdE194fo7muSpcVV0YkikoszcTa3bGdZQ/dEuTOKUh97opgDQRAw3KcLvr64XoptyjiBPt0Hw2bTL1JMsXcdVIEd6vVu1GRcomdL4B4TbvX6QoDOo3k9Z3Rvfn6tsWfPToiiKBUdp06dhK2tHdzdPUye25YtG1FaWgIrq7JRljNnTt3zmBMnjiM6ujcGDRoKANDpdEhKugE/v9b1misLFmoY1CoIN29Il3dkyVcgFOUbdApRrqi8tNjesZ4Srp1cdSES85JwxsA9UWzlVgh2bC5Nlm1mabrNnYwp2KE52th741JBGgAgT1OEnT72GOLsJu0sLFOmQHbuGHTBkaZMleqQNqIX5ImHa9RX1zbUaPfXqs7o0WPw558r8cUXn+Cxx57EjRvX8L//LcaTT/5Lmr9iKgMHDsb33y9CTMx8TJw4GTdvpuK331bc85jmzZtj9+6dOHXqBBwcHPH7778gOzuLBQs1Ufk50siJLOUyhJtJEHRag04h2jvprdwRPVsACvMaadDfEyUJKcVZNTpOBgGt7TwR4tTSZHuimIM7c1m+uLBWim3OOIG+3QfDdmP5L13FvvVQBUWYzegZPRhdq0Bo/UMgv3L2nv1EuQKano8YKavqubt74NNPv8KiRV9h0qRxcHR0xLBhIzBx4mRTpwZbW1t89NEX+OyzGDz77FPw82uNF198FbNnz6z2mEmTnkNaWipef/1VWFtb49FHR6Fnzz4oLCyo11x580MyPa0WQkbS7WXFty/v5Bk2qUwUZBA9m0v33ZGWFpvZXA1RFHHz9p4oZw3cE8XV0uH2ap6WeMjRPPZEMRcLzv+NiwWpUvsx764Ytm4tZHdNzlSNmAxduy6mSI+q8UA3PywthsWqbyG/fr7Kb4sWVlCPfp578ZgJ3vyQGqaigruWFl+BkHrV8KXF1rZ33RQwADqfVoBlzfclMKZCTQnO5SfjbG5ZkZKjrtlfIVYyBYIcmpv1nijm4hGfzvj8rlGWLcoT6NdjMOzWL5Niin2xUAVHAg1g2TbVgJUN1OOmQ3vuCBRH90JIvgxBp4Xo4AxtaBQ0HXub/FIQ1S0WLFS/RB2EzJtloya3R09kBi5JBACdq7f+0mJXD7OdRHlnT5TE26Mo1wozINZwMnBD3BPFHAQ6+CLIwRfn81MAAAWaEmzztsSjrt6QZZXNb5Flp0N25hB0od1MmSrVJZkMupDOUIV0LlvuIoq87NeIGVSwLF68GFu3bsWVK1dgbW2NiIgIvPnmm/D396/2mIMHD2LChAmV4hs3bkRAQIDU3rJlC7766ivcuHEDLVu2xIwZMzBw4EBD0qMHUVQA+Yn9kF09C6G0BKKdA7TBkdAFdzJs3kdpye2lxbeLk9SrEEqKDEpFtLCCzscP4p3LO77+Zn/31Tt7oiTmJeFcfjKKtTXbE8VRYSttfR/s0KJB7oliLh7x6YLz58vv2rwt4wQG9BgM+3VLpZgiLhaqdp05ytIYCYLZXQKmumVQwZKQkICnnnoKoaGh0Gq1+OKLLzB58mRs2LABtrb33qti82b9Oz02a1a+dfmxY8cwY8YMTJs2DQMGDMD27dsxffp0/PrrrwgLCzPwKZGh5MfjoNj6W6XLMvJLpyDuXAPV6BeqvuupKEK4lVm+tDjlCoSMZAgGTiLSObneHjm5fYnHw9fsP1Du7IlyZ+O22uyJEuLYAr42rrzMU0fuvK5n85IAAIXaUmz1kGOkuw9kyrL5LbIcJeSn4qENq/m9WIjIPDzQpNvs7GxERUVhxYoV6Ny5c5V97oywHDp0CI6OVS8hnT59OgoKCvDDDz9IscmTJ8PJyQmff/65QTlx0q1h5Cf2w2LDz/fsI1pYQjX+LYhu3uVLi+/ctbgwz6DHE+WKu+67c3v0xMH5AZ6BcUh7otze+v6yAXuieFm7lG3a1oj3RDEXVwpu4pPza6S2rdwKn1iGwv7vH6WYzskVqqnzAbl5F8VNwZ2JmM2aecHSkpPIGzOVqhTZ2TdNN+k2P79sHwwnJ6f79h05ciRUKhUCAgLw4osvolu38uvIx48fx6RJk/T69+zZE8uWLYOh+MeqAUpLoNj2x327CWoVLFd8VraaR1uzFS13iHaO5XNPmgdA9Gqpd4nJnP+7ctVFOJt74/alntrtiRLi1HT2RDEHAQ5eaO/YEqfzbgAAirSl2OwMjPZsAVl62ciLLDcL8lP/QBfR8x5nImNQKMqKRpWqlAVLI6dSlQIo23W34ud0TT+3a12wiKKImJgYREZGIjAwsNp+7u7umD9/Ptq1aweVSoW1a9di0qRJWL58uTQqk5mZCVdXV73jXF1doVQqDc7L1ZUfDjWl2n8QpaqabV0v3H6z3buTAJl3S8hbt4XcLxByv7YQXD0azCUPlVaDc7eScTzzKo5nXsX1/Jq9/2SCgEAnH4S7tUaYW2sEOHlBbqYTgpuC8RZ98PaB8lHDncpTeHzwSGDZN1LM8p9NsOs7EIKZ7cvTFGk0RcjJuQW5XICVlRXM+88YMpyI0tJSFBXlwtW1GTw87j/AUZ1aFyzz5s3DhQsX8Ouvv96zn7+/v96k3IiICNy8eRM//vij3mWkih9qd29hbIisLF4SqinFmRN4kEFx0cqmfGJsc3+IPq0BqwpLi7PqdyOhB6G3J0puEs4XpEKtq/meKO2cyvZECXLwha3i9l+HGiAnq7Aes6b7cYY9Qp1a4VTudQBAkaYUf6IQj3m1hOxm2ciLeCsLOds3Q9epjwkzJQCwsLCHlZUKubmG7b1EDYuNjT0sLOyRmVl5h3JBqNlgQ60Klvnz52Pnzp1YsWKFdJdJQ4SFhWHdunVS283NDZmZmXp9srOz4ebmZvC576xsoxpQ12wlyx2ijT20bUPL9j1pHgDRzavy0mIzf+2lPVFuFymG7IkS6OCLEMeynWUr7onC95x5ecSni1SwAMCOjJMY1GMwHFcvkWKK/ZtQGtbD7HY/bnoEODm5wsHBBVoDLzlTwyCXK6RbEDzI70qDChZRFDF//nxs27YNy5cvR4sWVd+p8n4SExPh7u4utcPDw7F//369eSxxcXGIiIio1fmpZkR7w4bmNP0fg7ZD93rKpn5oRR2uFaZLO8vWZk+UYMcWCOCeKA1KS1t3hDm3xolbVwEAJTo1Ntqp8IRva8hSymJCwS3Ij+2DtnM/U6ZKt8lkMshkBu52S02KQQXL3LlzERsbi0WLFsHOzk6aY+Lg4ABr67JLAQsWLEB6ejo++eQTAMBPP/2E5s2bo02bNlCr1Vi3bh22bNmCb74pv548YcIEPP3001iyZAn69++PHTt24MCBA/e93EQPRteuC3A8rkZ9RYUFtG0bxhLzzNI8adO22u6J8pBDczha3HupPpm3R7w7SwULAOxSnsaQHoPh9Me3UkzxzyZow6MBQ7eFJyKjM6hgWblyJQBg/PjxevGYmBiMHj0aAKBUKpGWliZ9T61W4+OPP0Z6ejqsra3Rpk0bLFmyBL1795b6dOzYEZ9//jm+/PJLfP3112jRogW++OIL7sFSz3QtA6G767r+vWg7dDfbzdvu7Ilyp0hJL71Vo+MUggxt7H24J0oj1dzWDRHO/jh26woAoFSnxkarIjzZvA1kyZcAAEJhHuRH90DblZtUEpk73vywiRNylLBc8RmE/FvV9tE1bwPVuGlm81doXeyJEuLYAoEOPtwTpZFLKc7Cf87+Ll0EtJQp8LFjV7j8vkjqI9o6oPSlDwAuqyUyCd78kGpEdHFH6cRZsNi5GrJzRyDoyj/4RSsbaMOjoen1qMmLlVx10e0RlBsG74nykGNztLs9F4V7ojQtvjau6OgSgCM5lwEAKp0GG6wKMK5lIOQ3LgAAhKJ8yI/shjZqkClTJaL74AgLlSvIhez6BQiqYoi2jtC1DjbZX51qnRaXC9Kkre+Ti7NqdJwMAvzsPNHOsQVCnFqila07ZNwTpUlLLc7G/LO/SaMsFoICHztHodlvC6U+oo0dSl/6sPKyfCKqdxxhIcPZO0HXrupbLNQ3URSRXnoLZ3JvIDEvCRcKUqEyYE+UO5d5ghyal++JQgTAx6YZOjVri0PZFwEAalGDWItcPOUXDPm1RACAUFwI+eGd0PYYaspUiegeWLCQyZTtiZJy+zJPErJVdbMnClFFw7w74XD2JWlJ+17lGQyLGgDX2wULACgOboM2si9gzTtmE5kjFixkNA+yJ0oLGzeE3N5ZlnuikKG8rF3QpVlbHMwum7eiEbWIlefgaf92kF85AwAQSoogP7Qd2p6PmDJVIqoGCxaqV1ml+TibV3YDwfP5KSjS1uCeRCjfEyXYsQWCHbknCj24od6dcCj7InS3i+R9mWWjLG63CxYAUCRsh7ZTP7Ndwk/UlLFgoUpqex8noGxPlIsFKTibyz1RyLx4Wjujq2sQDmSdAwBoRB3WCUpMbNsB8osnAQBCaQkUCduh6T3ClKkSURVYsBAA4EJ+CnZnnMbZvCSU6lSwV9gg0qUN+ni0h5e1S7XH3dkT5c6mbZcK0mq1J0pbex9YybknCtWvod6ROJh1Xhpl2Z+ZiOHd+sPjdsECAPJDO6Dp3B+wtTdVmkRUBS5rbuJ0og4rb+zFvsyzVX5fBgHjWvZCT/d2UixPXYSzeUlSkWLonih3ihTuiUKmsPz6LuzPLJ9s29MtBJMOJUJ+4bgU00QNhqbvKBNkR9T0cFkz1chfKfHVFisAoIOIX27sQa66ECqdFol5SUgqzqy2/90ECGh9e0+UYMcW8LPz4J4oZHJDvCJxIPM8dCgbCdyfeQ7Du/WF510Fi/zwLmi69AfsHE2UJRFVxIKlCbulKsSO9BM16hubdrhG/ZpZOpRt2sY9UchMuVk5oofbQ1KhroMO6zRpePahSMjPHQEACOpSKOK3QtP/cVOmSkR3YcHShP2TlShdy6+t8j1RypYcc08UagiGeEfiQNY5aG7PtzqQdQ7Du/aD17mjEG7/TMiP7Iam60DA3smUqRLRbSxYmrDrRcpaHXf3nij+dl6w4J4o1MA0s3RAD7cQ7FGeBlB26XOtOhlTQjpBfvYQAEDQqKE4sAWagU+YMlUiuo0FSxNm6HzrSOcAPNmyJ/dEoUZhsFdH7M9MhEbUAgAOZl3AI136wyfxMITbPxvyo3ug6TYQcKh+pRwRGQdnQDZhHtaGDXVHNmvDYoUaDRdLe/R0D5HaIkSsK70BXbuuUkzQaqD4Z7Mp0iOiCliwNGHdXYNr3NdBYYNQJ7/6S4bIBAZ7dYSFUH5JMyH7ItI6R0O8azWb/HgckJttivSI6C4sWJowH5tmCHduXaO+Az3DOVeFGh0nCzv0cm8vtUWIWFt8DdoOUVKsbJRlkynSI6K7sGBp4ib59UeAndc9+/Rya4eBnuHGSYjIyAZ5RcBCKJ/OdzjnIlIju0OU3TXKciIOwq2a7T9ERPWDBUsTZy23xPTAR/F48+5wt9Kf0+Jv54XnWj+McS17cakyNVqOFrbo43H3KAvwd9FlaDv0kGKCTgf5/o0myI6I7uDW/CTRiSKyVHko1qrgoLCBiyXvpUJNQ766GO+dXo5SnUaKzW0+CC2XLoCgK1tFJAoyqKbOg+jibqo0iRqlmm7NzxEWksgEAe5WTmhp685ihZoUBwsb9HEP1Yv9XXAR2vBoqS2IOijiNhg7NSK6jQULERGAgV7hsJKV3zH82K0rSIroClFePr9FdjoeQla6KdIjavJYsBARAbBX2KCfRwe92N/5F6CN6CW1BVGEIi7W2KkREViwEBFJBniGwVpmKbVP5F7FtfBOEBXlIy+yM4cgKFNNkR5Rk8aChYjoNjuFNfp76o+yrM07B23H3lJbAEdZiEyBBQsR0V36e4TBRl4+ynIq9zquhHWEaFEekycegZCRYor0iJosFixERHexVVhhgEeYXmztrURoO/XViyn2rTdmWkRNHgsWIqIK+nl2gK3cSmqfybuBy+3DIFqWx+Tnj0G4ecMU6RE1SSxYiIgqsJFbVbodxd85Z6Dt1E8vptjHuSxExsKChYioCn09QmEnt5baifnJuNg+FKJVeUx+8QSEtGsmyI6o6TGoYFm8eDEee+wxREREICoqCi+99BKuXLlyz2O2bt2KZ555Bt26dUPHjh3x5JNPYt++fXp91qxZg6CgoEpfpaWlhj8jIqI6YC23xMNe4Xqxv7NPQ9t5gF5MsZdzWYiMwaCCJSEhAU899RT++OMPLF26FFqtFpMnT0ZRUVG1xxw6dAjdu3fHkiVLsGbNGnTt2hUvvvgizp49q9fP3t4ecXFxel9WVlbVnJWIqP71dg+Fg8JGap/PT0FiSAhEa1spJr98GkLKvf9wI6IH90A3P8zOzkZUVBRWrFiBzp071/i4YcOGYciQIXjllVcAlI2wfPjhhzh8+HBtU5Hw5odEVJe23jyGNSkHpHZbex/MVFrAYu86KaZtHQz1uOkmyI6o4avpzQ8V9+1xD/n5+QAAJyenGh+j0+lQWFgIZ2dnvXhRURH69u0LrVaL4OBgTJs2DSEhIQbnJAgGH0JEVK2+Hu2xPf048jTFAICLBak4FzwI7Q/tgFBcCACQX02ENukixJZtTZkqUYNU08/tWo+wiKKIF198EXl5efj1119rfNwPP/yA77//Hhs3boSrqysA4Pjx47h+/TqCgoJQUFCAn3/+GXv27MHatWvh5+dXm/SIiOpM7LVDWHpup9R+yNkXcwocoNrwuxSTtwmB7cvvmSI9oiah1gXL3LlzsWfPHvz666/w8vKq0TGxsbF47733sGjRInTv3r3afjqdDqNGjULnzp3x3nuG/QLIyuIlISKqWyqdBu+dWoFcdfl8vRmtHkaHFd9BKMov7/fU6xD9gkyRIlGDJQiAq2s9XRKaP38+du7ciRUrVtS4WNm4cSNmz56Nr7766p7FCgDIZDKEhobi2rVrBucmimDBQkR1ykJQYLBXR/yeFCfF/s48gZBuD8Ni52oppti7DqqWb/LaNFE9MGiVkCiKmDdvHrZu3Yply5ahRYsWNTouNjYWs2bNwoIFC9CnT58aPU5iYiLc3d0NSY+IqN5Eu4XA2cJOal8tTMepNv4Q7RylmCzpEmTXzpkiPaJGz6CCZe7cuVi3bh0WLFgAOzs7KJVKKJVKlJSUSH0WLFiAmTNnSu3Y2Fi8/fbbePvttxEWFiYdc2fCLgAsXLgQ+/btQ1JSEhITE/Huu+/i3LlzGDduXB08RSKiB2chU2CwV6RebK3yGNRRg/Riir3rOMxLVA8MuiS0cuVKAMD48eP14jExMRg9ejQAQKlUIi0tTfre77//Do1Gg3nz5mHevHlSfNSoUfjoo48AAHl5eZgzZw6USiUcHBwQEhKCFStWoEMH/du8ExGZUg+3YGy5eRQ56gIAwPUiJU74h6OTvTOEglsAAFnKFciunIEuoL0JMyVqfB5oHxZzxH1YiKg+7VOewS839kjtFjZu+L8id1hu/U2K6bz9oJo0i3NZiGqgpvuw8F5CREQGiHJ9CM0sy3+5JhVn4lhrX4gOLlJMlnYNskunTJEeUaPFgoWIyAAKmRzDvPXnsqxPPwZ1jyH6/TiXhahOsWAhIjJQN9cguFmWrw5KLs7CkZbeEJ1cpZgsPQmyC8dNkB1R48SChYjIQHJBjqHenfRi69OPQtVjqF5MsXc9IOqMmRpRo8WChYioFrq6BsLdqvw+aqkl2Tjs6w6ds5sUkylTIDt3zBTpETU6LFiIiGpBLsgwvOIoS8ZRqKOH6cUU+9YDOo6yED0oFixERLXUuVlbeFo5S+2bJTk46NMMumaeUkyWmQZZ4mETZEfUuLBgISKqJZkgw3CfznqxDTePQhVdYS7LvlhApzVmakSNDgsWIqIHEOkSAG/r8j1Y0ktvId7TCTpXbykmy06H7MwhU6RH1GiwYCEiegAyQYZh3hVGWdKPQtWzwlyWOI6yED0IFixERA+oo0sAfKybSW1laS7+cbeHzt1HislylJCfijdFekSNAgsWIqIHJBOESnNZNt48UmmURR63AdBqjJkaUaPBgoWIqA6EO/ujuU35TreZqjzEudpA59lCislysyA/+Y8p0iNq8FiwEBHVgbJRli56sY03j6K04r4s+zcCGrUxUyNqFFiwEBHVkTAnP7S0dZfa2ap87HOxgM67lRQT8nIgP7HfFOkRNWgsWIiI6oggCBheYcXQpptHURI9XC+m2L+JoyxEBmLBQkRUh0KdWqGVrYfUzlEXYK+jAJ1vaykmFNyC/Ng+U6RH1GCxYCEiqkOCIOCRCiuGNqUfRUnFuSz/bALUKmOmRtSgsWAhIqpj7RxborVd+f2EctWF2GOvg655GykmFOZBfnSPKdIjapBYsBAR1bGyURb9FUObbh5DccXdbw9sAVSlxkyNqMFiwUJEVA+CHZojwM5LaudpirDLVg1ty0ApJhTlQ35ktwmyI2p4WLAQEdWDqkZZttw8iuKKd3KO3wKUlhgzNaIGiQULEVE9CXLwRVv78vsJ5WuKsdO6BFq/YCkmFBdCfninKdIjalBYsBAR1ZOqVgxtTT+GoughejHFwW1ASbExUyNqcFiwEBHVo0AHXwQ5+ErtAk0JdloWQhvQXooJJUWQH9puivSIGgwWLERE9aziXJatN4+hsMdgvZgiYTtQXGjMtIgaFBYsRET1rI29N4IdmkvtQm0ptstzoW3bQYoJpSVlRQsRVYkFCxGREVQcZdmefgKFPQbpxeSHdgBFBcZMi6jBYMFCRGQE/vZeaOfYUmoXaUuxDTnQBoZLMUFVWjYBl4gqYcFCRGQkwyusGNqecQIF3SuMshzeBRTmGTMtogbBoIJl8eLFeOyxxxAREYGoqCi89NJLuHLlyn2PS0hIwOjRoxEaGor+/ftj5cqVlfps2bIFQ4cORfv27TF06FBs28a/MoiocWlt54lQp1ZSu1irwlZkQvtQpBQT1KVQxG81RXpEZs2ggiUhIQFPPfUU/vjjDyxduhRarRaTJ09GUVFRtcckJSXh+eefR2RkJP7++29MnToVH3zwAbZs2SL1OXbsGGbMmIERI0Zg7dq1GDFiBKZPn44TJ07U/pkREZmhinNZdqSfQH73gRAhSDH5kd1AQa6RMyMyb4IoimJtD87OzkZUVBRWrFiBzp07V9nn008/xc6dO7Fp0yYpNmfOHJw/fx6///47AGD69OkoKCjADz/8IPWZPHkynJyc8PnnnxuUU2ZmPmr/jIiI6t+3lzbhRO5VqT3YqyPGHDoN+dlDUkzTuR80A580RXpERiUIgJubw337PdAclvz8fACAk5NTtX2OHz+OHj166MV69uyJ06dPQ61WS32io6Mr9Tl27NiDpEdEZJYqzmXZlXEKeVEDIAp3jbIc3Qvk5xg7NSKzpajtgaIoIiYmBpGRkQgMDKy2X2ZmJtzc3PRirq6u0Gg0yMnJgYeHBzIzM+Hq6lqpj1KpNDivu37eiYjMUks7N3R08cfRnLI5gKU6NTZr0vBE+66Qn4oHAAhaDSz+2QzN4HGmTJWo3tX0c7vWBcu8efNw4cIF/PrrrzVIRj+bO1eh7o5X1adirCZcXe8/rEREZGpPW/XB0f3lixZ2K0/jyUGjgDMJgE4HAJAfj4PjsNGQubhVdxqiJqNWBcv8+fOxc+dOrFixAl5eXvfs6+bmVmmkJDs7GwqFAs7OzlKfzMzMSn0qjszURFYW57AQkfmzgzUiXQJwJOcyAKBUq8bKjAsYGxoF+Yn9ZZ20GuStXwXN0KdMmClR/RKEmg02GFSwiKKI+fPnY9u2bVi+fDlatGhx32PCw8Oxa9cuvVhcXBzat28PCwsLqc/+/fsxadIkvT4RERGGpHc7R7BgIaIGYZh3ZxzNuYw7v7J2Z5zGw12GwO3UAQi3R1lkJ+KAqEEQnTnKQk2bQZNu586di3Xr1mHBggWws7ODUqmEUqlESUmJ1GfBggWYOXOm1B47dixSU1MRExODy5cvY9WqVVi9ejWeffZZqc+ECROwf/9+LFmyBJcvX8aSJUtw4MABTJw4sQ6eIhGRefKxaYZOLm2ltlrUYFPJdWg7lC9UEHQ6yPdvNEV6RGbFoGXNQUFBVcZjYmIwevRoAMCsWbOQkpKC5cuXS99PSEhATEwMLl68CA8PD0yZMgXjxulPJNu8eTO+/PJLJCcno0WLFpgxYwYefvhhg58QlzUTUUNysyQHc8/8BvH2OIuFIMcHLYfB/YcPIei0AABRkEE1dR5EF3dTpkpUL2q6rPmB9mExRyxYiKihWXp1Ow5mX5Dafd1D8dTZJCiO7pFi2tAoqB+ZZILsiOqXUfZhISKiBzfUuxNkd+10uy/zDLI694IoL59mKDsdDyHrpinSIzILLFiIiEzM09oZXV3LL7lrRB02Fl6BNqKXFBNEEYq4DaZIj8gssGAhIjIDQ70j9UZZ4jLPIrNTNESFhRSTnTkEQZlqivSITI4FCxGRGXC3ckKU60NSWyvqsCH/IrSRfaSYABGKuFgTZEdkeixYiIjMxBDvSMju+rW8P/McMjp2h2hhKcXkiUcgZKSYIj0ik2LBQkRkJtysHNHDrXyURQcdNuSeh7ZTX71+in3rjZ0akcmxYCEiMiNDvCMhF8p/NR/IOof08G4QLa2kmPz8MQg3b5giPSKTYcFCRGRGmlk6INotRGrrICI29xy0nfrp9VPs41wWalpYsBARmZnBXh2huGuUJT7rPNLCukC0spZi8osnIKRdM0F2RKbBgoWIyMy4WNqjp1s7qS1CROyts9B2HqDXT7GXc1mo6WDBQkRkhgZ5dYSFIJfaCdkXkdohEqK1rRSTXz4NIfmyKdIjMjoWLEREZsjZ0g493fVHWdZnn4GmS4VRFq4YoiaCBQsRkZkqG2Upv5/Q4ZyLSG4fAdHGTorJryZCuHHRFOkRGRULFiIiM+VkYYs+Hu2ltgggNvsUNN0e1uvHURZqCliwEBGZsYGe4bCUlY+yHMm5jKSQDhBtHaSY/Pp5yK6dN0V6REbDgoWIyIw5Wtiir3uoXmx95kloogbpxRT71gGiaMzUiIyKBQsRkZkb6BUOK1n5XZuP3bqC6w+1g2jnKMVkSZcgu3bOFOkRGQULFiIiM2evsEFfjwqjLMoT0EQN1osp9nKUhRovFixERA3AQM9wWN81ynIi9yquBj0E0d5ZislSrkB25YwJsiOqfyxYiIgaADuFNfp7hunF1iuPQ9O94ijLeo6yUKPEgoWIqIHo7xEGG7ml1D6Vex2X2wZCdHCRYrK0a5BdOmmK9IjqFQsWIqIGwlZhhQEeFUZZMo5B02OoXoyjLNQYsWAhImpA+nl2gK3cSmqfybuBiwH+0Dm5SjFZehJkF46bIDui+sOChYioAbGRW2FAxbks6UehjR6mFysbZdEZMzWiesWChYiogenn0QF2d42yJOYn47xfK+hc3KWYTJkC2bljpkiPqF6wYCEiamCs5ZZ42CtCL7Y+/Qg0FUdZ9q0HdBxlocaBBQsRUQPU2z0U9gprqX0+PwXnWjaHrpmnFJNlpkGWeNgU6RHVORYsREQNkLXcAg97VhhluVnVKEssoNMaMzWiesGChYiogerj0R6OChupfbEgFWebe0Pn6i3FZNnpkJ05ZIr0iOoUCxYiogbKUmaBh7066sXW3zwMTc8KoyxxHGWhho8FCxFRA9bLvR0cFbZS+3LhTZz29YTO3UeKyXKUkJ+KN0V6RHXG4ILl0KFDmDp1KqKjoxEUFITt27ffs/+sWbMQFBRU6WvYsPK/ANasWVNln9LSUsOfERFRE2IpU2CId4VRlrRDUPd8RC8mj9sAaDXGTI2oTikMPaCoqAhBQUEYPXo0Xn311fv2nz17Nt544w2prdVqMWLECAwerH/DLnt7e2zevFkvZmVlBSIiurdotxBsuXkMt9SFAICrhek4FRCJjp4tIEtPAgDIcrMgP/kPtBG9TJkqUa0ZXLD07t0bvXv3rnF/BwcHODg4SO3t27cjNzcXo0eP1usnCALc3d0rHk5ERPdhIVNgsFckfkvaK8XWpx1GaM9HYLVqkRRT7N8IbWgUoLAwRZpED8TgguVBrVq1Ct27d4evr69evKioCH379oVWq0VwcDCmTZuGkJAQg88vCHWVKRFRwxHtHowt6UeRoyoAAFwvysDJgEhEereCLO06AEDIy4H8xH7oOvUxYaZE+mr6uW3UgiUjIwN79+7FZ599phf39/dHTEwMgoKCUFBQgJ9//hnjxo3D2rVr4efnZ9BjuLo63L8TEVEj9ESbHlh8dovU3qQ8ip7Dn0DJ959KMcv4zbDrPwiChaUpUiSqNaMWLH/99RccHBwwYMAAvXh4eDjCw8OldseOHTFq1CisWLEC7733nkGPkZWVz7uqE1GT1MHaD66WDshS5QMAruSlY4+bDJ19W0OWchUAIObm4Nb2TdB27mfKVIkkglCzwQajFSyiKGL16tUYMWIELC3vXdnLZDKEhobi2rVrtXgcsGAhoiZJLsgxxDsSK67vlmLr0w4hrOcjsP7t6/J++zdBExYNcJSFGhCj7cOSkJCA69ev4/HHH79vX1EUkZiYyEm4REQGinINgpulo9ROLs7CMWcr6Jq3kWJCYR7kR/eYIj2iWjO4YCksLERiYiISExMBAMnJyUhMTERqaioAYMGCBZg5c2al41atWoWwsDAEBgZW+t7ChQuxb98+JCUlITExEe+++y7OnTuHcePGGZoeEVGTJhfkGOrdSS+2Pu0wVL3092VRHNgCqEqMmRrRAzG4YDl9+jRGjhyJkSNHAgBiYmIwcuRIfP112XCjUqlEWlqa3jH5+fnYunVrtaMreXl5mDNnDoYMGYJnn30WGRkZWLFiBTp06GBoekRETV5X10C4WzlJ7dSSbBx2VEDbsvwPRqEoH/Iju02QHVHtCKLYuGZ8ZGZy0i0RUXzWefx0bYfU9rZ2wb8dOsJ6xedSTLSxQ+lLHwBWNlWdgsgoBAFwc7v/pFveS4iIqBHq3KwtPK2cpXZaSQ4O2cugbR0sxYTiQsgP7zJBdkSGY8FCRNQIyQUZhvnoz2WJTT0EdfRwvZji4DagpNiYqRHVCgsWIqJGqpNLG3hZu0jt9NJbOGirhTagvRQTSoogP3Tvm9gSmQMWLEREjZRMkGG4d2e9WGzaYaiih+nFFAnbgeJCY6ZGZDAWLEREjVhHlwD4WDeT2srSXBywUkHbtnwVplBaUla0EJkxFixERI2YTBAw3Ed/lGVjFaMs8kM7gKICY6ZGZBAWLEREjVy4sz+a27hK7UxVHv6xKII2MFyKCarSsgm4RGaKBQsRUSNX1SjLhrQjKI0eqheTH94JFOYZMzWiGmPBQkTUBIQ5tUYLGzepna3Kx355AbQPRUoxQa2CIn6rKdIjui8WLERETYAgCHjEp4tebGPaEZT0GAIRghSTH9kNFOQaOTui+2PBQkTURIQ6tUIrWw+pnaMuwD4hF7p25ZeLBI0aigObTZEe0T2xYCEiaiLKRln057JsvnkExd0HQxTuGmU5uhfIzzF2ekT3xIKFiKgJaefYEq3tPKX2LXUh9olZ0LXvKsUErQaKfzjKQuaFBQsRURNS1SjLprSjKOo+CKJQ/pEgPx4H5GYbOz2iarFgISJqYoIdWiDAzktq52mKsFejhLZDlBQrG2XZZIr0iKrEgoWIqImpasXQ5ptHUdRtIETZXaMsJ+Ig3Mo0dnpEVWLBQkTUBAU5+KKtvY/UztcUY7f6JrQdekgxQaeDfP9GU6RHVAkLFiKiJqiquSzb0o+jMGogRJlcislPHoCQnWHs9IgqYcFCRNREBTr4IsjBV2rna4qxuzQF2vBoKSaIOij2bzBFekR6WLAQETVhFeeybL15DIXdBkCUK6SY7PRBCFk3jZ0akR4WLERETVgbe28EOzSX2oXaUuwsToK2Yy8pJogiFHEcZSHTYsFCRNTEVRxl2ZZ+HAVd+kFUWEgx2ZlDEJSpxk6NSMKChYioifO390I7x5ZSu0hbih1F16GN7CPFBIhQxMWaIDuiMixYiIgIwyusGNqefhz5nfpAtLCUYvLEIxAyUoydGhEAFixERASgtZ0nQp1aSe1irQrbC69A26mvXj/FvvXGTo0IAAsWIiK6bbi3/ijLjvSTyIvsBdHSSorJzx+DcPOGsVMjYsFCRERlWtl5IMyptdQu0amwLf8ytJ366fVT7ONcFjI+FixERCSpOJdlZ8ZJ5EZGQ7SylmLyiycgpF4zcmbU1LFgISIiSQtbN0Q4+0vtUp0aW/MuQtt5gF4/zmUhY2PBQkREeiqOsuzOOIWciO4QrW2lmPzyaQjJl42dGjVhBhcshw4dwtSpUxEdHY2goCBs3779nv0PHjyIoKCgSl+XL+u/0bds2YKhQ4eiffv2GDp0KLZt22ZoakREVAd8bVzR0SVAapfqNNiaex6argP1+nGUhYzJ4IKlqKgIQUFBmDNnjkHHbd68GXFxcdKXn5+f9L1jx45hxowZGDFiBNauXYsRI0Zg+vTpOHHihKHpERFRHRju3RnCXe3dGadxK7wbRBs7KSa/mgjhxkXjJ0dNksEFS+/evTFjxgw8/PDDBh3n6uoKd3d36UsuL799+bJly9C9e3e88MILCAgIwAsvvIBu3bph2bJlhqZHRER1wMemGTq5tJXaalGDzdmJ0HTT/93PURYyFsX9u9SNkSNHQqVSISAgAC+++CK6desmfe/48eOYNGmSXv+ePXvWqmARhPv3ISKi+xvu0wmHcy5BhAgA2Ks8jcEdxsDt4HYIRfkAAPn189BePw/RL8iUqVIDVtPP7XovWNzd3TF//ny0a9cOKpUKa9euxaRJk7B8+XJ07lw2sSszMxOurq56x7m6ukKpVBr8eK6uDnWSNxFRU+cGB/TMCcHe1DMAALWoxa7iixg/4FGUrvtF6mdzYCNsIiMh8C9Gqkf1XrD4+/vD3798iVxERARu3ryJH3/8USpYAFR6o4uiWKs3f1ZWPkSx9vkSEVG5Ac3CEJd6FrrboyxbbxxHr4fGwNPOEUJhHgBAe+Ucsg8fgtg62JSpUgMlCDUbbDDaJaG7hYWFYd26dVLbzc0NmZmZen2ys7Ph5uZm8LlFESxYiIjqiIeVM7q4BiI+6zwAQCNqsSnzNJ6OGgyL7X9I/RR71kHV6iFel6d6Y5J9WBITE+Hu7i61w8PDsX//fr0+cXFxiIiIMHZqRERUwTDvTpDdtWZof+ZZKNtFQLR3lmKylCuQXTljguyoqTC4YCksLERiYiISExMBAMnJyUhMTERqaioAYMGCBZg5c6bU/6effsL27dtx7do1XLx4EQsWLMCWLVvw9NNPS30mTJiA/fv3Y8mSJbh8+TKWLFmCAwcOYOLEiQ/6/IiI6AG5WzkhyvUhqa0RddiUeRKa7oP1+in2ruMQN9Ubgy8JnT59GhMmTJDaMTExAIBRo0bho48+glKpRFpamvR9tVqNjz/+GOnp6bC2tkabNm2wZMkS9O7dW+rTsWNHfP755/jyyy/x9ddfo0WLFvjiiy8QFhb2IM+NiIjqyBDvSBzIOg8ddACA/ZnnMCj4CfjGb4GQlwMAkKVdh+zSSeja8nc31T1BFBtXOZyZyUm3RET14Zfru7Ev86zU7uEWjEnZclhsKl8xpPNsAdWzszmXhWpMEAA3t/tPuuW9hIiIqEaGeEdCLpR/bBzIPIebQe2gcyrflkKWngTZheMmyI4aOxYsRERUI80sHdDDrXzpsg4iNmacgDZ6mF4/xd71gKgzdnrUyLFgISKiGhviFQnFXaMsB7POI7XNQ9C5lK/8lClTIDt3zBTpUSPGgoWIiGrMxdIePd3aSe2yUZZj0FQcZdm3HtBxlIXqDgsWIiIyyCCvjrAQym9gm5B9EakBbaFr5inFZJlpkCUeNkV61EixYCEiIoM4W9qhp3v5KIsIERvSj0HTc7heP8W+WECnNXZ61EixYCEiIoOVjbKUb+V1OPsikv38oXP1lmKy7HTIziSYIj1qhFiwEBGRwZwsbNHb4+5RFmBD+pHKoyxxGwAtR1nowbFgISKiWnnYMwKWsvJRlqM5l5Hk1wo6d18pJstRQn463hTpUSPDgoWIiGrF0cIWfd1DpbYIIDbtCDS9HtHrJ4/bAGg1Rs6OGhsWLEREVGsDvcJhJbOQ2sduXcH15s2h82whxWS5WZCf/McU6VEjwoKFiIhqzV5hg74eoXqx2JuHK42yKPZvBDRqY6ZGjQwLFiIieiADPcNhfdcoy4lbV3HNxxs671ZSTMjLgfzEflOkR40ECxYiInogdgpr9PMM04vFph2GptejejHF/k0cZaFaY8FCREQPrL9HB9jILaX2ydxruOLpBp1vaykmFNyC/Ng+U6RHjQALFiIiemB2CmsM8NAfZVlf1SjLP5sAtcqYqVEjwYKFiIjqRD/PDrCVW0ntM3k3cMnNBbrmbaSYUJgH+dE9pkiPGjgWLEREVCds5FYYUHEuy80qRlkObAFUJcZMjRoBFixERFRn+nl0gN1doyxn85Jwwc0R2lZBUkwoyof8yG4TZEcNGQsWIiKqM9ZySwz0itCLxaYegqZnhX1Z4rcCpcXGTI0aOBYsRERUp/q4h8JeYS21z+Un47yLLbStg6WYUFwI+eFdpkiPGigWLEREVKes5RZ42FN/lGV9VaMsB7cBJRxloZphwUJERHWut3t7OChspPbFglScc7KGNqC9FBNKiiA/tN0U6VEDxIKFiIjqnJXcAoO8OurF1qcmQB09XC+mSNgOFBcaMzVqoFiwEBFRvejl3g6OClupfakgDWcdFNC27SDFhNKSsqKF6D5YsBARUb2wlCkw2Ft/lCW2ilEW+aEdQFGBMVOjBogFCxER1ZuebiFwsrCT2lcK03HGVoA2MFyKCapSKA5uNUF21JCwYCEionpjIVNgSIW5LOtSE6DuWWGU5fAuoDDPmKlRA8OChYiI6lUPtxC43DXKcr0oA6estdAGR0oxQa0q20yOqBosWIiIqF5ZyOQY4t1JL7Y+9RDU0cMgQpBi8iO7gYJcI2dHDYXBBcuhQ4cwdepUREdHIygoCNu333t299atW/HMM8+gW7du6NixI5588kns27dPr8+aNWsQFBRU6au0tNTQ9IiIyAx1d30IzSwdpPaNIiWOW6iga9dZigkaNRQHNpsiPWoADC5YioqKEBQUhDlz5tSo/6FDh9C9e3csWbIEa9asQdeuXfHiiy/i7Nmzev3s7e0RFxen92VlZVXNWYmIqCFRyOQY6h2pF4tNTYCqx1CIwl2jLEf3Avk5xk6PGgCFoQf07t0bvXv3rnH/2bNn67Vff/117NixAzt37kRISIgUFwQB7u7uhqZDREQNRJRrEDanHUWmqmxybXJxFo7Li9ClfVfIT8UDAAStBop/NkMzaJwpUyUzZHDB8qB0Oh0KCwvh7OysFy8qKkLfvn2h1WoRHByMadOm6RU0NXVXoU5ERGZEIcgx1CcSP18rv+nh+rRDiOgxFLLTCRBEHQBAfjwO2qhBgFMzU6VKRlTTz22jFyz/+9//UFxcjCFDhkgxf39/xMTEICgoCAUFBfj5558xbtw4rF27Fn5+fgad39XV4f6diIjIJIY364StGcdws+gWACC1OBsXnTTo2KUX1Ad3AygbZbE/sh3WT0w2XaJkdoxasMTGxmLhwoVYtGgRXF1dpXh4eDjCw8OldseOHTFq1CisWLEC7733nkGPkZWVD1Gsq4yJiKiuDfGMxNKrO6T2r+f2om1kf1gd2gtBVzbKojq4CwUd+wHObqZKk4xEEGo22GC0gmXjxo2YPXs2vvrqK3Tv3v2efWUyGUJDQ3Ht2jWDH0cUwYKFiMiMdXJpi42pR5BeegsAkFaSg0O6XER16AHF8bJVpIJOB3ncRmiGTTBhpmROjLIPS2xsLGbNmoUFCxagT58+9+0viiISExM5CZeIqBGSCzIM89HflyU29RDU3QdDlJf/HS0/eQBCdoax0yMzZXDBUlhYiMTERCQmJgIAkpOTkZiYiNTUVADAggULMHPmTKl/bGws3n77bbz99tsICwuDUqmEUqlEfn6+1GfhwoXYt28fkpKSkJiYiHfffRfnzp3DuHGcJU5E1Bh1cmkDL2sXqZ1eegsJ2ixow6OlmCDqoNi/wRTpkRkyuGA5ffo0Ro4ciZEjRwIAYmJiMHLkSHz99dcAAKVSibS0NKn/77//Do1Gg3nz5iE6Olr6+uCDD6Q+eXl5mDNnDoYMGYJnn30WGRkZWLFiBTp06AAiImp8ZIIMwyvsfhubdhiqqEF6oyyy0wchZN00dnpkhgRRbFwzPjIzOemWiKgh0Iki/nP2d6SWZEuxiX790PPoCSgO7ZRi2nZdoB7BFUONlSAAbm73n3TLewkREZFJyAQBw30668U2pB6GqttAiAqL8n5nDkFQpho7PTIzLFiIiMhkwp394WtTvs1FpioPB0rToY3sI8UEiFDExZogOzInLFiIiMhkZIKARyqMsmxMO4zSLgMgWlhKMXniEQgZKcZOj8wICxYiIjKpMKfWaGFTvkFcliof/5SkQNupr14/xb71xk6NzAgLFiIiMilBEPCITxe92KabR1DSuT9ESyspJj9/DMLNG8ZOj8wECxYiIjK5UKdWaGVbvllotqoA+4uToO3UT68fR1maLhYsRERkclWOsqQdQXHnvhCtrKWY/OJJCKnXjJwdmQMWLEREZBbaObZEaztPqX1LXYi4whvQdBmg14+jLE0TCxYiIjILQhUrhjbfPILiyD4QrW2lmPzyaQjJl42dHpkYCxYiIjIbwQ4tEGDnJbVz1UXYl38Fmq4D9fpxlKXpYcFCRERmo6q5LFtuHkVxx54QbeykmPxqIoQbF42dHpkQCxYiIjIrQQ6+aGvvI7XzNMXYk3cZmm4P6/XjKEvTwoKFiIjMilDFPYa23jyGovBoiLblN8mTXz8P2bXzxk6PTIQFCxERmZ0gB18EOfhK7XxNMXbnXoQmapBeP8W+dYAoGjs9MgEWLEREZJaGe1ceZSkMi4Jo5yjFZEmXILuWaOzUyARYsBARkVlq6+CDhxyaS+1CbQl25ZyHJmqwXj/FXo6yNAUsWIiIyGxV3JdlW/pxFIR1g2jvLMVkKVchu3LGyJmRsbFgISIisxVg7412ji2ldpG2FDuzE6HpMUSvH0dZGj8WLEREZNYqrhjann4c+e06QXR0kWKytOuQXTpp7NTIiFiwEBGRWWtt54lQp1ZSu1irwo7ss9D0GKrXT7F3PUdZGjEWLEREZPYqrhjakX4SeSEdoXNylWKy9CTILhw3cmZkLCxYiIjI7LWy80AHJz+pXaJTYXvmGWijh+n1Kxtl0Rk5OzIGFixERNQgVJzLsjPjJHIfCofOxV2KyZQpkJ07ZuzUyAhYsBARUYPQ0tYdEc7+UrtUp8a2zJPQVBxl2bce0HGUpbFhwUJERA3GMO9Oeu3dGaeQGxgKXTNPKSbLTIMs8bCxU6N6xoKFiIgajOa2bujoEiC1S3UabFWehKbncL1+in2xgE5r7PSoHrFgISKiBmW4d2cId7V3Z5zGrTYh0Ll5SzFZdjpkZxKMnxzVGxYsRETUoPjYNEOkSxuprRY12JJxApqej+j1U8RtALQcZWksWLAQEVGDM9ynM4S7xln2Kk8jJyAQOndfKSbLUUJ+Ot4U6VE9YMFCREQNjpe1C7o0ayu11aIWm9OPQ9NLf5RFHrcB0GqMnR7VA4MLlkOHDmHq1KmIjo5GUFAQtm/fft9jEhISMHr0aISGhqJ///5YuXJlpT5btmzB0KFD0b59ewwdOhTbtm0zNDUiImpChnp30htl2ac8iyy/NtB5tpBistwsyE/+Y4r0qI4ZXLAUFRUhKCgIc+bMqVH/pKQkPP/884iMjMTff/+NqVOn4oMPPsCWLVukPseOHcOMGTMwYsQIrF27FiNGjMD06dNx4sQJQ9MjIqImwtPaGV1dA6W2RtRic/qxSqMsiv0bAY3a2OlRHVMYekDv3r3Ru3fvGvf/7bff4O3tjdmzZwMAAgICcOrUKfzvf//DoEGDAADLli1D9+7d8cILL0h9EhISsGzZMnz++eeGpkhERE3EMO9OSMi6AB3Kbnq4P/MsBrX7F7y8W0GWdh0AIOTlQH5iP7SRfUyYKT2oep/Dcvz4cfTo0UMv1rNnT5w+fRpqtVrqEx0dXanPsWPcXpmIiKrnbuWEbq5BUlsj6rD55jFoej2q10+xfxNHWRo4g0dYDJWZmQk3Nze9mKurKzQaDXJycuDh4YHMzEy4urpW6qNUKg1+PEG4fx8iImo8hvl0Qnz2Behu3/Rwf1YiBrUbB2/f1pClXAUACAW3oDi2F9ou/U2ZKlWhpp/b9V6wAIBQIRtRFCvFq+pTMVYTrq4OtciQiIgaKjc4oH9OKLYll8171Io67Lp1ClMeGYvi72KkfhbxW+A8YAgESytTpUoPoN4LFjc3t0ojJdnZ2VAoFHB2dpb6ZGZmVupTcWSmJrKy8nG7HiIioiain0sH7Ew5Be3tUZadKafRp117+LRoA1nSJQCAmJ+LW1s3QNttoClTpQoEoWaDDfVesISHh2PXrl16sbi4OLRv3x4WFhZSn/3792PSpEl6fSIiIgx+PFEECxYioibGxdIBPdyCsVd5BgCgE3XYmHYUk3o9CstfyhdvyA9sgSaiJ2BpbapUqZYMnnRbWFiIxMREJCYmAgCSk5ORmJiI1NRUAMCCBQswc+ZMqf/YsWORmpqKmJgYXL58GatWrcLq1avx7LPPSn0mTJiA/fv3Y8mSJbh8+TKWLFmCAwcOYOLEiQ/6/IiIqIkY4hUJhVD+sRafdR43Pb2gbVU+KVcoyof8yG4TZEcPShBFw8YjDh48iAkTJlSKjxo1Ch999BFmzZqFlJQULF++XPpeQkICYmJicPHiRXh4eGDKlCkYN26c3vGbN2/Gl19+ieTkZLRo0QIzZszAww8/bPATyszkJSEioqbqtxv7sFt5Smp3axaEZ+QtYbXiMykm2tih9KUPACsbU6RIFQgC4OZ2/0tCBhcs5o4FCxFR03VLVYj3Tq+ARiy76aEAAf9uNxYt/loG+dVEqZ+69whoeww1VZp0l5oWLLyXEBERNRrOlnbo5d5OaosQsSHtcOU7OR/cBpQUGzs9egAsWIiIqFEZ5NURFkL5mpLD2ReR6uoCbUB7KSaUFEF+6P73wiPzwYKFiIgaFScLW/T2uHuUBVWPsiRsB4oLjZwd1RYLFiIianQe9oyApax8lOVIziUkuzhA27aDFBNKS8ouDVGDwIKFiIgaHUcLW/RxD5XaIoANqZVHWeSHdwJFBUbOjmqDBQsRETVKD3uFw0pmIbWP3rqMJEdbaIPKNyUVVKVQHNxqivTIQCxYiIioUbJX2KCvR6hebH3aoSpGWXYBhXnGTI1qgQULERE1WgM8w2F91yjLiVtXcd3eEtrgSCkmqFVQxHOUxdyxYCEiokbLXmGNfp5herHY1EPQRA+HCEGKyY/sBgpyjZwdGYIFCxERNWr9PTrARm4ptU/mXsNVWzl07TpLMUGjhuLAZlOkRzXEgoWIiBo1O4U1+ntUNcoyDKJw1yjL0b1Afo6x06MaYsFCRESNXn/PDrCVW0nt03k3cNkK0LXvKsUErQaKfzjKYq5YsBARUaNnI7fCgIpzWdIOQdNjGESh/KNQfjwOyM02dnpUAyxYiIioSejr0QF2d42ynM1LwkVLLbQdoqSYoNVAsX+jKdKj+2DBQkRETYKN3BIDvSL0YrGph6DtMRSi7K5RlpP7IdzKNHZ6dB8sWIiIqMno4x4Ke4W11D6Xn4wLchW0YdFSTNDpIOcoi9lhwUJERE2GtdwCD3vqj7KsT02ApvsQiPLymyXKTx6AkJ1h7PToHliwEBFRk9LbvT0cFDZS+0JBKs7LiqENv2uURdRBsX+DKdKjarBgISKiJsVKboFBXpVHWdRRg/RGWWSnD0LIumns9KgaLFiIiKjJ6eXeDo4KW6l9qSAN51AIbcdeUkwQRSjiOMpiLliwEBFRk2Mps8Bg7456sfWpCVB3GwRRUX6zRNmZQxCUqcZOj6rAgoWIiJqknm4hcLKwk9pXCtNxVpcHbWQfKSZAhCIu1gTZUUUsWIiIqEmykCkwxKuKUZauAyFalN8sUZ54BEJGirHTowpYsBARUZPVwy0ELneNslwrysBpbQ60nfrq9VPsXWfs1KgCFixERNRkWcjkGOIdqRdbn3oI6i4DIVqWb+Mvv3Acws0bxk6P7sKChYiImrTursFoZmkvtW8UKXFSnQlt5/56/RT71hs7NboLCxYiImrSFDI5hnp30ovFph6CunN/iFbl2/jLL56EkHrNyNnRHSxYiIioyYtyDYKbpaPUTirOxPHSDGi6DNDrx1EW02HBQkRETZ5ckGNohbkssWkJUHfqD9G6fIM5+eXTEJIvGzs9AgsWIiIiAEBX1yC4W5WPsqQUZ+NYSSo0XQfq9eMoi2kIoiiKpk6iLmVm5qNxPSMiIjKW+Kxz+OnaTqntbe2C/wsYAZtv34NQXCjFdU6ugMISopsXtGE9oAtoBwgcA6gNQQDc3Bzu269Wr+4vv/yCfv36ITQ0FKNHj8bhw4er7Ttr1iwEBQVV+ho2bJjUZ82aNVX2KS0trU16REREtdK5WSA8rZyldlpJDo4UpUBTYV8WWW4WZFlpkJ8/Bss/FsJy2SdAQa6Rs21aDC5YNm7ciJiYGLz44ov4+++/ERkZiSlTpiA1tep7LcyePRtxcXHS1549e+Ds7IzBgwfr9bO3t9frFxcXBysrqyrPSUREVB/kggzDfPRXDG1IPQRcO3/P42SpV2G58itAVVKf6TVpBhcsS5cuxWOPPYYxY8YgICAAs2fPhpeXF1auXFllfwcHB7i7u0tfp0+fRm5uLkaPHq3XTxAEvX7u7u61e0ZEREQPoJNLG3hZu0jtm6W3cEijvO9xMmUK5Ef21GdqTZrCkM4qlQpnzpzB888/rxfv0aMHjh07VqNzrFq1Ct27d4evr69evKioCH379oVWq0VwcDCmTZuGkJAQQ9IDUHYtjIiIqLbkggzDfTrhhyvbpNjaAC90TbsF+X2OVRzbC13UQM5nMUBNP7cNKlhycnKg1Wrh6uqqF3dzc4NSef/qMyMjA3v37sVnn32mF/f390dMTAyCgoJQUFCAn3/+GePGjcPatWvh5+dnSIpwdb3/xB0iIqJ7GeQagS0Zx5BUkAkASLezwgEfF0Sn5tzzOOFWJpopNJC5uN6zHxnOoILlDqFCOSSKYqVYVf766y84ODhgwAD9jXjCw8MRHh4utTt27IhRo0ZhxYoVeO+99wzKLSuLq4SIiOjBDfGIxJKCLVJ7XYAnuqXm3PeDM0eZA1FreZ9edIcg1GywwaCCxcXFBXK5HJmZmXrxrKwsuLm53fNYURSxevVqjBgxApaW9/6PlMlkCA0NxbVr1wxJ7/bjgAULERE9sHBnf/jauCKlOAsAkGFrhX98m6FXSna1x4gyGXS2TgA/h+qcQRfZLC0t0a5dO+zfv18v/s8//yAiIuKexyYkJOD69et4/PHH7/s4oigiMTGRE2+JiMhkZIKA4d6d9WLr/D2guccVBV1gBHDX/Yeo7hg8K+iZZ57BqlWrsGrVKly+fBkffvgh0tLSMHbsWADAggULMHPmzErHrVq1CmFhYQgMDKz0vYULF2Lfvn1ISkpCYmIi3n33XZw7dw7jxo2rxVMiIiKqG+HOrdHC0llqZ9paIc7Xpcq+IgRouvSv8nv04AyewzJ06FDk5ORg0aJFyMjIQGBgIJYsWSKt+lEqlUhLS9M7Jj8/H1u3bsXs2bOrPGdeXh7mzJkDpVIJBwcHhISEYMWKFejQoUMtnhIREVHdEAQBj7TojkWXN0qx9f6e6JGSA4sK8w80g8ZCbB5g7BSbDG7NT0REdA+iKOKjc6twvah8NeyEs8nol1Q2tyXd1RXo+QicQqJMlWKDVtOt+Wu1SoiIiKipEAQBXZq11StYVgb54HQze6TbWSHFwQaWpafwQq4v2jm1NGGmjRt3tiEiIrqHfHUxNqUd1Yup5TIc9XJGioMNAECl02Dxlc1IL7llggybBhYsRERE97A38wwKtPe/R5BKp8H29OP1n1ATxYKFiIjoHvZnJta4b0L2Bah1mnrMpuliwUJERFQNtU6LbFV+jfuX6jS4pS6sx4yaLhYsRERE1ZDV4oa6AngX3vrAgoWIiKgackEOH+tmNe5vr7CGi6V9PWbUdLFgISIiuoee7iE17tvDNRhygR+t9YGvKhER0T10dw2Gp5Xzffs5KmzRzzOs/hNqoliwEBER3YOV3AKvtX0EXtbO1fZxsrDDa22Hw8nC1niJNTHcmp+IiKgGVDo14rPOY5/yLJKLMyEC8LRyRg+3YPRwC4adgndpro2abs3PgoWIiMhAOlEEIELG+SoPjPcSIiIiqicyQQC4fNmoWBoSERGR2WPBQkRERGaPBQsRERGZPRYsREREZPZYsBAREZHZY8FCREREZo8FCxEREZk9FixERERk9hrdxnEC9/EhIiJqMGr6ud3otuYnIiKixoeXhIiIiMjssWAhIiIis8eChYiIiMweCxYiIiIyeyxYiIiIyOyxYCEiIiKzx4KFiIiIzB4LFiIiIjJ7LFiIiIjI7LFgISIiIrPHgqURWrx4MR577DFEREQgKioKL730Eq5cuaLXRxRFfPPNN4iOjkaHDh0wfvx4XLx4Ua/P77//jvHjx6Njx44ICgpCXl5epcfq168fgoKC9L4+++yzen1+1PAY8z0JALt378aYMWPQoUMHdO3aFa+88kq9PTdqmIz1njx48GCl35F3vk6ePFnvz7MxYcHSCCUkJOCpp57CH3/8gaVLl0Kr1WLy5MkoKiqS+nz//fdYunQp5syZg1WrVsHNzQ3PPPMMCgoKpD7FxcXo2bMnpk6des/He+211xAXFyd9vfjii/X23KhhMuZ7csuWLZg5cyZGjx6NtWvXYuXKlRg+fHi9Pj9qeIz1noyIiND7/RgXF4cxY8bA19cXoaGh9f48GxWRGr2srCwxMDBQTEhIEEVRFHU6ndijRw9x8eLFUp/S0lIxMjJSXLlyZaXj4+PjxcDAQDE3N7fS9/r27SsuXbq03nKnxqm+3pNqtVrs2bOn+Mcff9TvE6BGpz5/T95NpVKJUVFR4sKFC+v2CTQBHGFpAvLz8wEATk5OAIDk5GQolUpER0dLfSwtLdG5c2ccO3bM4PP/8MMP6Nq1K0aMGIFvv/0WKpWqbhKnRqu+3pNnz55Feno6ZDIZRo4ciejoaDz33HOVhvGJKqrv35N37Ny5Ezk5ORg9evSDJdwEKUydANUvURQRExODyMhIBAYGAgCUSiUAwNXVVa+vm5sbUlNTDTr/hAkTEBISAkdHR5w6dQoLFixAcnIyPvjgg7p5AtTo1Od7MikpCQCwcOFCzJo1C76+vli6dCmefvppbNmyBc7OznXzJKhRqe/fk3dbtWoVoqOj4e3tXfuEmygWLI3cvHnzcOHCBfz666+VvicIgl5bFEWDzz9p0iTp3w899BAcHR3x2muv4c0334SLi4vB56PGrz7fkzqdDgAwdepUDBo0CAAQExODXr16YfPmzRg7dmwts6bGrL5/T95x8+ZNxMXF4csvv6z1OZoyXhJqxObPn4+dO3di2bJl8PLykuLu7u4AgMzMTL3+WVlZcHNze6DHDA8PBwDcuHHjgc5DjVN9vyfvnCcgIECKWVpaokWLFkhLS3uQ1KmRMubvydWrV8PZ2Rn9+vWrfcJNGAuWRkgURcybNw9bt27FsmXL0KJFC73vN2/eHO7u7ti/f78UU6lUOHToECIiIh7osc+ePQug/IedCDDee7J9+/awtLTE1atXpZharUZKSgp8fHwe/IlQo2Hs35OiKGLNmjUYOXIkLCwsHjj/poiXhBqhuXPnIjY2FosWLYKdnZ10LdbBwQHW1tYQBAETJkzA4sWL4efnh1atWmHx4sWwtrbWW/6pVCqRmZkpjZZcuHABdnZ28Pb2hrOzM44dO4YTJ06ga9eusLe3x6lTpxATE4N+/frxw4H0GOs9aW9vj7Fjx+Kbb76Bt7c3fHx88OOPPwIABg8ebPwnTmbLWO/JO+Lj45GcnIzHH3/cqM+zMRHEB7kgR2YpKCioynhMTIw0M10URSxcuBC///47cnNzERYWhjlz5kgTzgDgm2++wcKFC6s9z5kzZzB37lxcuXIFKpUKPj4+GDZsGJ577jnY2NjUz5OjBslY70mgbETl888/x9q1a1FSUoKwsDC8++67aNu2bT08M2qojPmeBIA33ngDKSkp+O233+r4mTQdLFiIiIjI7HEOCxEREZk9FixERERk9liwEBERkdljwUJERERmjwULERERmT0WLERERGT2WLAQERGR2WPBQkRERGaPBQsRERGZPRYsRNSoabVa6HQ6U6dBRA+IBQsRGc3ff/+Nrl27QqVS6cVfffVVzJw5EwCwc+dOjB49GqGhoejfvz8WLlwIjUYj9V26dCkeeeQRhIeHo3fv3nj//fdRWFgofX/NmjXo1KkTdu3ahaFDhyI0NBQpKSnGeYJEVG9YsBCR0QwePBharRY7duyQYtnZ2di1axdGjx6Nffv24a233sL48eOxceNGzJs3D2vWrMF3330n9RcEAbNnz8b69evx0UcfIT4+Hp9++qne45SUlGDx4sX4z3/+g9jYWLi6uhrtORJR/WDBQkRGY21tjeHDh2PNmjVSbP369fDy8kLXrl3x3Xff4fnnn8eoUaPQokUL9OjRA9OmTdO7w+2kSZPQrVs3tGjRAlFRUZg2bRo2bdqk9zhqtRrvv/8+OnbsCH9/f9ja2hrtORJR/VCYOgEialqeeOIJPP7440hPT4enpyfWrFmDUaNGQRAEnDlzBqdOndIbUdFqtSgtLUVxcTFsbGwQHx+PxYsX49KlSygoKJC+X1RUJBUmFhYWCAoKMtVTJKJ6wIKFiIwqJCQEDz30EP7++29ER0fjwoULUoGi0+nw6quv4uGHH650nJWVFVJSUvD8889j7NixmDZtGpycnHDkyBHMnj1bb56LtbU1BEEw2nMiovrHgoWIjO7xxx/HsmXLkJ6eju7du8Pb2xtAWTFz9epVtGrVqsrjTp8+Da1Wi1mzZkEmK7uiXfFyEBE1TpzDQkRG9+ijjyI9PR1//PEHHnvsMSn+8ssvY+3atfjmm29w8eJFXL58GRs3bsQXX3wBAGjZsiU0Gg2WL1+OpKQk/P3333rzW4io8WLBQkRGZ29vj4cffhh2dnYYMGCAFO/Zsye+++477N+/H48//jieeOIJLF26FL6+vgCA4OBgvPPOO/j+++8xfPhwrF+/Hq+//rqpngYRGZEgiqJo6iSIqOl55plnEBAQgPfee8/UqRBRA8ARFiIyqlu3bmHDhg2Ij4/Hv/71L1OnQ0QNBCfdEpFRjR49Grm5uXjzzTfh7+9v6nSIqIHgJSEiIiIye7wkRERERGaPBQsRERGZPRYsREREZPZYsBAREZHZY8FCREREZo8FCxEREZk9FixERERk9liwEBERkdljwUJERERm7/8BnJn+CJdTwrUAAAAASUVORK5CYII=","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["sns.pointplot(data=df, y=df.groupby('year')['passengers_to_india'].sum().values, x=df.groupby('year')['passengers_to_india'].sum().index,\n","             color='#52b788', label='To India')\n","sns.pointplot(data=df, y=df.groupby('year')['passengers_from_india'].sum().values, x=df.groupby('year')['passengers_from_india'].sum().index,\n","             color='#f27059', label='From India')\n","plt.title('Passengers to India vs Passengers from India')\n","plt.legend()\n","plt.show()"]},{"cell_type":"markdown","id":"21417012","metadata":{"papermill":{"duration":0.023626,"end_time":"2023-07-09T08:21:05.241761","exception":false,"start_time":"2023-07-09T08:21:05.218135","status":"completed"},"tags":[]},"source":["<div style=\"border-radius:10px; border:#DEB887 solid; padding: 15px; background-color: #f6f5f5; font-size:100%; text-align:left\">\n","<h3 align=\"left\"><font color='#DEB887'>🔍 Conclusions:</font></h3>\n","    \n","- In 2015, the number of people going out of India was much more than the number of people coming back to India \n","- This has greatly reduced in the following two years, maybe because less job opportunities for people outside India\n"]},{"cell_type":"markdown","id":"1b2a6fd9","metadata":{"papermill":{"duration":0.022747,"end_time":"2023-07-09T08:21:05.288309","exception":false,"start_time":"2023-07-09T08:21:05.265562","status":"completed"},"tags":[]},"source":["<br>\n","<h2 style=\"font-size: 28px; font-family: 'Roboto Mono', monospace; font-weight: normal; background-color: #c7f9cc; color: #ef476f; text-align: center; border-radius: 150px 150px;\">Analysis on freight to India and freight from India\n","</h2>\n","<br>"]},{"cell_type":"code","execution_count":40,"id":"ef0ca25b","metadata":{"execution":{"iopub.execute_input":"2023-07-09T08:21:05.335661Z","iopub.status.busy":"2023-07-09T08:21:05.335288Z","iopub.status.idle":"2023-07-09T08:21:05.585638Z","shell.execute_reply":"2023-07-09T08:21:05.584431Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.276536,"end_time":"2023-07-09T08:21:05.587707","exception":false,"start_time":"2023-07-09T08:21:05.311171","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["sns.pointplot(data=df, y=df.groupby('year')['freight_to_india'].sum().values, x=df.groupby('year')['freight_to_india'].sum().index,\n","             color='#9d4edd', label='To India')\n","sns.pointplot(data=df, y=df.groupby('year')['freight_from_india'].sum().values, x=df.groupby('year')['freight_from_india'].sum().index,\n","             color='#ff9e00', label='From India')\n","plt.title('Freight to India vs Freight from India')\n","plt.legend()\n","plt.show()\n"]},{"cell_type":"markdown","id":"e499ae9f","metadata":{"papermill":{"duration":0.024263,"end_time":"2023-07-09T08:21:05.636602","exception":false,"start_time":"2023-07-09T08:21:05.612339","status":"completed"},"tags":[]},"source":["<div style=\"border-radius:10px; border:#DEB887 solid; padding: 15px; background-color: #f6f5f5; font-size:100%; text-align:left\">\n","<h3 align=\"left\"><font color='#DEB887'>🔍 Conclusions:</font></h3>\n","    \n","- The freight exported in 2015 was much more than that imported, this maybe because more people were going out of India in 2015 than coming to India\n","- This remained more or less constant in the year 2016 too, but in 2016, the number of people coming back to India was almost the same as number of people going abroad. So, my best guess is that, this data also includes the other raw materials exported from India, and more exports were made when compared to imports \n","- In 2017 however both these graphs have a steep negative slope, well that maybe because ww just have Q1 data of 2017"]},{"cell_type":"markdown","id":"66f4492e","metadata":{"papermill":{"duration":0.023542,"end_time":"2023-07-09T08:21:05.684213","exception":false,"start_time":"2023-07-09T08:21:05.660671","status":"completed"},"tags":[]},"source":["<br>\n","<h2 style=\"font-size: 28px; font-family: 'Roboto Mono', monospace; font-weight: normal; background-color: #c7f9cc; color: #ef476f; text-align: center; border-radius: 150px 150px;\">Analysis on passengers to India and passengers from India with month</h2>\n","<br>"]},{"cell_type":"code","execution_count":41,"id":"36256052","metadata":{"execution":{"iopub.execute_input":"2023-07-09T08:21:05.734113Z","iopub.status.busy":"2023-07-09T08:21:05.733692Z","iopub.status.idle":"2023-07-09T08:21:06.473451Z","shell.execute_reply":"2023-07-09T08:21:06.472217Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.768393,"end_time":"2023-07-09T08:21:06.476171","exception":false,"start_time":"2023-07-09T08:21:05.707778","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1000x600 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["fig, ax = plt.subplots(2,1,figsize=(10,6), sharex=True)\n","\n","ax[0] = sns.barplot(data=df, x='month', y='passengers_to_india' , ax=ax[0], errorbar=None, linewidth=1, edgecolor='black', palette='pastel')\n","ax[0].set(title='Passengers To India', ylabel='Count')\n","\n","ax[1] = sns.barplot(data=df, x='month', y='passengers_from_india', ax=ax[1], errorbar=None, linewidth=1, edgecolor='black', palette='Set3')\n","ax[1].set(title='Passengers From India', ylabel='Count')\n","\n","plt.tight_layout()\n","plt.show()"]},{"cell_type":"markdown","id":"d93f3f03","metadata":{"papermill":{"duration":0.02483,"end_time":"2023-07-09T08:21:06.526587","exception":false,"start_time":"2023-07-09T08:21:06.501757","status":"completed"},"tags":[]},"source":["<div style=\"border-radius:10px; border:#DEB887 solid; padding: 15px; background-color: #f6f5f5; font-size:100%; text-align:left\">\n","<h3 align=\"left\"><font color='#DEB887'>🔍 Conclusions:</font></h3>\n","    \n","- December attracts the highest influx of visitors to India, possibly due to the anticipation of celebrating Christmas and New Year's Eve with their loved ones.\n","- The largest number of people from India tend to travel in the months of January (following the celebration of New Year's Eve), May (after the summer break), and August (as many overseas colleges commence their semesters around August-September). \n","- Apart from those specific months, the inflow and outflow of people entering and leaving India remain relatively balanced."]},{"cell_type":"markdown","id":"68a1d35d","metadata":{"papermill":{"duration":0.025379,"end_time":"2023-07-09T08:21:06.579041","exception":false,"start_time":"2023-07-09T08:21:06.553662","status":"completed"},"tags":[]},"source":["<br>\n","<h2 style=\"font-size: 28px; font-family: 'Roboto Mono', monospace; font-weight: normal; background-color: #c7f9cc; color: #ef476f; text-align: center; border-radius: 150px 150px;\">Analysis on passengers to India and passengers from India with quarter</h2>\n","<br>"]},{"cell_type":"code","execution_count":42,"id":"a80cf122","metadata":{"execution":{"iopub.execute_input":"2023-07-09T08:21:06.631457Z","iopub.status.busy":"2023-07-09T08:21:06.63108Z","iopub.status.idle":"2023-07-09T08:21:07.010089Z","shell.execute_reply":"2023-07-09T08:21:07.008873Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.407944,"end_time":"2023-07-09T08:21:07.012408","exception":false,"start_time":"2023-07-09T08:21:06.604464","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 800x400 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["fig, ax = plt.subplots(1,2,figsize=(8,4), sharey=True)\n","\n","ax[0] = sns.barplot(data=df, x='quarter', y='passengers_to_india' , ax=ax[0], errorbar=None, linewidth=1, edgecolor='black', palette='Set1')\n","ax[0].set(title='Quarterly Passengers To India', ylabel='Count')\n","\n","ax[1] = sns.barplot(data=df, x='quarter', y='passengers_from_india', ax=ax[1], errorbar=None, linewidth=1, edgecolor='black', palette='Set2')\n","ax[1].set(title='Quarterly Passengers From India', ylabel='Count')\n","\n","plt.tight_layout()\n","plt.show()"]},{"cell_type":"markdown","id":"d7180e2f","metadata":{"papermill":{"duration":0.024563,"end_time":"2023-07-09T08:21:07.061633","exception":false,"start_time":"2023-07-09T08:21:07.03707","status":"completed"},"tags":[]},"source":["<div style=\"border-radius:10px; border:#DEB887 solid; padding: 15px; background-color: #f6f5f5; font-size:100%; text-align:left\">\n","<h3 align=\"left\"><font color='#DEB887'>🔍 Conclusions:</font></h3>\n","    \n","- The highest number of people depart from India in the first quarter, with a gradual decrease in the subsequent quarters.\n","- Conversely, the largest number of people return to India in the fourth quarter, possibly to celebrate New Year's Eve and various festivals."]},{"cell_type":"markdown","id":"9eeae41e","metadata":{"papermill":{"duration":0.024661,"end_time":"2023-07-09T08:21:07.111223","exception":false,"start_time":"2023-07-09T08:21:07.086562","status":"completed"},"tags":[]},"source":["<br>\n","<h2 style=\"font-size: 28px; font-family: 'Roboto Mono', monospace; font-weight: normal; background-color: #c7f9cc; color: #ef476f; text-align: center; border-radius: 150px 150px;\">Analysis on freight to India and freight from India with quarter</h2>\n","<br"]},{"cell_type":"code","execution_count":43,"id":"590cca78","metadata":{"_kg_hide-input":false,"execution":{"iopub.execute_input":"2023-07-09T08:21:07.162324Z","iopub.status.busy":"2023-07-09T08:21:07.162008Z","iopub.status.idle":"2023-07-09T08:21:07.536253Z","shell.execute_reply":"2023-07-09T08:21:07.535076Z"},"jupyter":{"source_hidden":true},"papermill":{"duration":0.402105,"end_time":"2023-07-09T08:21:07.538196","exception":false,"start_time":"2023-07-09T08:21:07.136091","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 800x400 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["fig, ax = plt.subplots(1,2,figsize=(8,4), sharey=True)\n","\n","ax[0] = sns.barplot(data=df, x='quarter', y='freight_to_india' , ax=ax[0], errorbar=None, linewidth=1, edgecolor='black', palette='deep')\n","ax[0].set(title='Quarterly Freight To India', ylabel='Count')\n","\n","ax[1] = sns.barplot(data=df, x='quarter', y='freight_from_india', ax=ax[1], errorbar=None, linewidth=1, edgecolor='black', palette='muted')\n","ax[1].set(title='Quarterly Freight From India', ylabel='Count')\n","\n","plt.tight_layout()\n","plt.show()"]},{"cell_type":"markdown","id":"36e2be4a","metadata":{"papermill":{"duration":0.024204,"end_time":"2023-07-09T08:21:07.587411","exception":false,"start_time":"2023-07-09T08:21:07.563207","status":"completed"},"tags":[]},"source":["<div style=\"border-radius:10px; border:#DEB887 solid; padding: 15px; background-color: #f6f5f5; font-size:100%; text-align:left\">\n","<h3 align=\"left\"><font color='#DEB887'>🔍 Conclusions:</font></h3>\n","    \n","- Throughout all quarters, the export volume exceeds the import volume.\n","- The fourth quarter exhibits the highest export volume."]},{"cell_type":"markdown","id":"2c5128e3","metadata":{"papermill":{"duration":0.024804,"end_time":"2023-07-09T08:21:07.637941","exception":false,"start_time":"2023-07-09T08:21:07.613137","status":"completed"},"tags":[]},"source":["\n","<div style=\"border-radius:10px; border:#2ec4b6 solid; padding: 15px; background-color: #f6f5f5; font-size:100%; text-align:left\">\n","<h3 align=\"left\"><font color='#DEB887'>End of EDA</font></h3>\n","    Thank you so much for going through my notebook! If you have any suggestions, please feel free to put them in the comments"]},{"cell_type":"code","execution_count":null,"id":"e34a4d35","metadata":{"jupyter":{"source_hidden":true},"papermill":{"duration":0.02514,"end_time":"2023-07-09T08:21:07.687662","exception":false,"start_time":"2023-07-09T08:21:07.662522","status":"completed"},"tags":[]},"outputs":[],"source":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.10"},"papermill":{"default_parameters":{},"duration":24.982076,"end_time":"2023-07-09T08:21:08.63488","environment_variables":{},"exception":null,"input_path":"__notebook__.ipynb","output_path":"__notebook__.ipynb","parameters":{},"start_time":"2023-07-09T08:20:43.652804","version":"2.4.0"}},"nbformat":4,"nbformat_minor":5}