Prodigy_Infotech_Task_1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5141d4f1",
   "metadata": {},
   "source": [
    "# Task 1\n",
    "\n",
    "<i>Create a bar chart or histogram to visualize the distribution of a categorical or continuous variable, such as the distribution of ages or genders in a population."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c88f7d05",
   "metadata": {},
   "source": [
    "# About the Dataset\n",
    "We have taken a World Population Dataset consisting records of population from the year 2001 to 2022.\n",
    "\n",
    "\n",
    "| Series Code | Meaning |\n",
    "|--------|--------|\n",
    "| SP.POP.TOTL | Population, total |\n",
    "| SP.POP.TOTL.FE.IN |  Population, female |\n",
    "| SP.POP.TOTL.MA.IN | Population, male |\n",
    "| SP.POP.TOTL.FE.ZS | Population, female (% of total population) |\n",
    "| SP.POP.TOTL.MA.ZS | Population, male (% of total population) |"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3565fbe4",
   "metadata": {},
   "source": [
    "## Importing necessary libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "6848cec7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04be41fa",
   "metadata": {},
   "source": [
    "## Reading the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "0338aad5",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(r\"C:\\Users\\TUFAN\\Downloads\\Prodigy_InfoTech\\Task_1\\worldpopulationdata.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5fbe3d6d",
   "metadata": {},
   "source": [
    "## Checking the first 5 rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "dabae9a0",
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Series Name</th>\n",
       "      <th>Series Code</th>\n",
       "      <th>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>2022</th>\n",
       "      <th>2021</th>\n",
       "      <th>2020</th>\n",
       "      <th>2019</th>\n",
       "      <th>2018</th>\n",
       "      <th>2017</th>\n",
       "      <th>...</th>\n",
       "      <th>2010</th>\n",
       "      <th>2009</th>\n",
       "      <th>2008</th>\n",
       "      <th>2007</th>\n",
       "      <th>2006</th>\n",
       "      <th>2005</th>\n",
       "      <th>2004</th>\n",
       "      <th>2003</th>\n",
       "      <th>2002</th>\n",
       "      <th>2001</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Population, total</td>\n",
       "      <td>SP.POP.TOTL</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>41128771.0</td>\n",
       "      <td>40099462.0</td>\n",
       "      <td>38972230.0</td>\n",
       "      <td>37769499.0</td>\n",
       "      <td>36686784.0</td>\n",
       "      <td>35643418.0</td>\n",
       "      <td>...</td>\n",
       "      <td>28189672.0</td>\n",
       "      <td>27385307.0</td>\n",
       "      <td>26427199.0</td>\n",
       "      <td>25903301.0</td>\n",
       "      <td>25442944.0</td>\n",
       "      <td>24411191.0</td>\n",
       "      <td>23553551.0</td>\n",
       "      <td>22645130.0</td>\n",
       "      <td>21000256.0</td>\n",
       "      <td>19688632.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Population, total</td>\n",
       "      <td>SP.POP.TOTL</td>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>2775634.0</td>\n",
       "      <td>2811666.0</td>\n",
       "      <td>2837849.0</td>\n",
       "      <td>2854191.0</td>\n",
       "      <td>2866376.0</td>\n",
       "      <td>2873457.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2913021.0</td>\n",
       "      <td>2927519.0</td>\n",
       "      <td>2947314.0</td>\n",
       "      <td>2970017.0</td>\n",
       "      <td>2992547.0</td>\n",
       "      <td>3011487.0</td>\n",
       "      <td>3026939.0</td>\n",
       "      <td>3039616.0</td>\n",
       "      <td>3051010.0</td>\n",
       "      <td>3060173.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Population, total</td>\n",
       "      <td>SP.POP.TOTL</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>DZA</td>\n",
       "      <td>44903225.0</td>\n",
       "      <td>44177969.0</td>\n",
       "      <td>43451666.0</td>\n",
       "      <td>42705368.0</td>\n",
       "      <td>41927007.0</td>\n",
       "      <td>41136546.0</td>\n",
       "      <td>...</td>\n",
       "      <td>35856344.0</td>\n",
       "      <td>35196037.0</td>\n",
       "      <td>34569592.0</td>\n",
       "      <td>33983827.0</td>\n",
       "      <td>33435080.0</td>\n",
       "      <td>32956690.0</td>\n",
       "      <td>32510186.0</td>\n",
       "      <td>32055883.0</td>\n",
       "      <td>31624696.0</td>\n",
       "      <td>31200985.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Population, total</td>\n",
       "      <td>SP.POP.TOTL</td>\n",
       "      <td>American Samoa</td>\n",
       "      <td>ASM</td>\n",
       "      <td>44273.0</td>\n",
       "      <td>45035.0</td>\n",
       "      <td>46189.0</td>\n",
       "      <td>47321.0</td>\n",
       "      <td>48424.0</td>\n",
       "      <td>49463.0</td>\n",
       "      <td>...</td>\n",
       "      <td>54849.0</td>\n",
       "      <td>55366.0</td>\n",
       "      <td>55891.0</td>\n",
       "      <td>56383.0</td>\n",
       "      <td>56837.0</td>\n",
       "      <td>57254.0</td>\n",
       "      <td>57626.0</td>\n",
       "      <td>57941.0</td>\n",
       "      <td>58177.0</td>\n",
       "      <td>58324.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Population, total</td>\n",
       "      <td>SP.POP.TOTL</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>AND</td>\n",
       "      <td>79824.0</td>\n",
       "      <td>79034.0</td>\n",
       "      <td>77700.0</td>\n",
       "      <td>76343.0</td>\n",
       "      <td>75013.0</td>\n",
       "      <td>73837.0</td>\n",
       "      <td>...</td>\n",
       "      <td>71519.0</td>\n",
       "      <td>73852.0</td>\n",
       "      <td>76055.0</td>\n",
       "      <td>78168.0</td>\n",
       "      <td>80221.0</td>\n",
       "      <td>79826.0</td>\n",
       "      <td>76933.0</td>\n",
       "      <td>73907.0</td>\n",
       "      <td>70849.0</td>\n",
       "      <td>67820.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "<p>5 rows × 26 columns</p>\n",
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       "         Series Name  Series Code    Country Name Country Code        2022  \\\n",
       "0  Population, total  SP.POP.TOTL     Afghanistan          AFG  41128771.0   \n",
       "1  Population, total  SP.POP.TOTL         Albania          ALB   2775634.0   \n",
       "2  Population, total  SP.POP.TOTL         Algeria          DZA  44903225.0   \n",
       "3  Population, total  SP.POP.TOTL  American Samoa          ASM     44273.0   \n",
       "4  Population, total  SP.POP.TOTL         Andorra          AND     79824.0   \n",
       "\n",
       "         2021        2020        2019        2018        2017  ...  \\\n",
       "0  40099462.0  38972230.0  37769499.0  36686784.0  35643418.0  ...   \n",
       "1   2811666.0   2837849.0   2854191.0   2866376.0   2873457.0  ...   \n",
       "2  44177969.0  43451666.0  42705368.0  41927007.0  41136546.0  ...   \n",
       "3     45035.0     46189.0     47321.0     48424.0     49463.0  ...   \n",
       "4     79034.0     77700.0     76343.0     75013.0     73837.0  ...   \n",
       "\n",
       "         2010        2009        2008        2007        2006        2005  \\\n",
       "0  28189672.0  27385307.0  26427199.0  25903301.0  25442944.0  24411191.0   \n",
       "1   2913021.0   2927519.0   2947314.0   2970017.0   2992547.0   3011487.0   \n",
       "2  35856344.0  35196037.0  34569592.0  33983827.0  33435080.0  32956690.0   \n",
       "3     54849.0     55366.0     55891.0     56383.0     56837.0     57254.0   \n",
       "4     71519.0     73852.0     76055.0     78168.0     80221.0     79826.0   \n",
       "\n",
       "         2004        2003        2002        2001  \n",
       "0  23553551.0  22645130.0  21000256.0  19688632.0  \n",
       "1   3026939.0   3039616.0   3051010.0   3060173.0  \n",
       "2  32510186.0  32055883.0  31624696.0  31200985.0  \n",
       "3     57626.0     57941.0     58177.0     58324.0  \n",
       "4     76933.0     73907.0     70849.0     67820.0  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "604304fb",
   "metadata": {},
   "source": [
    "## Checking the last 5 rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "141d7393",
   "metadata": {},
   "outputs": [
    {
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       "      <th>1080</th>\n",
       "      <td>Population, male (% of total population)</td>\n",
       "      <td>SP.POP.TOTL.MA.ZS</td>\n",
       "      <td>Virgin Islands (U.S.)</td>\n",
       "      <td>VIR</td>\n",
       "      <td>46.613382</td>\n",
       "      <td>46.764444</td>\n",
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       "      <td>47.754932</td>\n",
       "      <td>47.725126</td>\n",
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       "    <tr>\n",
       "      <th>1081</th>\n",
       "      <td>Population, male (% of total population)</td>\n",
       "      <td>SP.POP.TOTL.MA.ZS</td>\n",
       "      <td>West Bank and Gaza</td>\n",
       "      <td>PSE</td>\n",
       "      <td>49.893678</td>\n",
       "      <td>49.877839</td>\n",
       "      <td>49.858957</td>\n",
       "      <td>49.835542</td>\n",
       "      <td>49.811374</td>\n",
       "      <td>49.785969</td>\n",
       "      <td>...</td>\n",
       "      <td>49.876336</td>\n",
       "      <td>49.898677</td>\n",
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       "      <td>49.947631</td>\n",
       "      <td>49.983323</td>\n",
       "      <td>50.028649</td>\n",
       "      <td>50.089953</td>\n",
       "      <td>50.167544</td>\n",
       "      <td>50.248196</td>\n",
       "      <td>50.321633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1082</th>\n",
       "      <td>Population, male (% of total population)</td>\n",
       "      <td>SP.POP.TOTL.MA.ZS</td>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>YEM</td>\n",
       "      <td>50.519031</td>\n",
       "      <td>50.538516</td>\n",
       "      <td>50.554317</td>\n",
       "      <td>50.571320</td>\n",
       "      <td>50.596614</td>\n",
       "      <td>50.616964</td>\n",
       "      <td>...</td>\n",
       "      <td>50.594170</td>\n",
       "      <td>50.582692</td>\n",
       "      <td>50.568876</td>\n",
       "      <td>50.553633</td>\n",
       "      <td>50.539012</td>\n",
       "      <td>50.522514</td>\n",
       "      <td>50.502720</td>\n",
       "      <td>50.481666</td>\n",
       "      <td>50.459941</td>\n",
       "      <td>50.437238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1083</th>\n",
       "      <td>Population, male (% of total population)</td>\n",
       "      <td>SP.POP.TOTL.MA.ZS</td>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>49.344602</td>\n",
       "      <td>49.344951</td>\n",
       "      <td>49.338301</td>\n",
       "      <td>49.326233</td>\n",
       "      <td>49.309087</td>\n",
       "      <td>49.288400</td>\n",
       "      <td>...</td>\n",
       "      <td>49.056379</td>\n",
       "      <td>48.981404</td>\n",
       "      <td>48.888443</td>\n",
       "      <td>48.784780</td>\n",
       "      <td>48.676944</td>\n",
       "      <td>48.571398</td>\n",
       "      <td>48.476900</td>\n",
       "      <td>48.393634</td>\n",
       "      <td>48.313646</td>\n",
       "      <td>48.229968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1084</th>\n",
       "      <td>Population, male (% of total population)</td>\n",
       "      <td>SP.POP.TOTL.MA.ZS</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>47.214139</td>\n",
       "      <td>47.167153</td>\n",
       "      <td>47.130679</td>\n",
       "      <td>47.099796</td>\n",
       "      <td>47.076238</td>\n",
       "      <td>47.051613</td>\n",
       "      <td>...</td>\n",
       "      <td>46.995893</td>\n",
       "      <td>47.049546</td>\n",
       "      <td>47.106068</td>\n",
       "      <td>47.166435</td>\n",
       "      <td>47.190963</td>\n",
       "      <td>47.231433</td>\n",
       "      <td>47.324096</td>\n",
       "      <td>47.387633</td>\n",
       "      <td>47.428426</td>\n",
       "      <td>47.460469</td>\n",
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      "text/plain": [
       "                                   Series Name        Series Code  \\\n",
       "1080  Population, male (% of total population)  SP.POP.TOTL.MA.ZS   \n",
       "1081  Population, male (% of total population)  SP.POP.TOTL.MA.ZS   \n",
       "1082  Population, male (% of total population)  SP.POP.TOTL.MA.ZS   \n",
       "1083  Population, male (% of total population)  SP.POP.TOTL.MA.ZS   \n",
       "1084  Population, male (% of total population)  SP.POP.TOTL.MA.ZS   \n",
       "\n",
       "               Country Name Country Code       2022       2021       2020  \\\n",
       "1080  Virgin Islands (U.S.)          VIR  46.613382  46.764444  46.914637   \n",
       "1081     West Bank and Gaza          PSE  49.893678  49.877839  49.858957   \n",
       "1082            Yemen, Rep.          YEM  50.519031  50.538516  50.554317   \n",
       "1083                 Zambia          ZMB  49.344602  49.344951  49.338301   \n",
       "1084               Zimbabwe          ZWE  47.214139  47.167153  47.130679   \n",
       "\n",
       "           2019       2018       2017  ...       2010       2009       2008  \\\n",
       "1080  47.057307  47.185912  47.314214  ...  47.801059  47.834540  47.870063   \n",
       "1081  49.835542  49.811374  49.785969  ...  49.876336  49.898677  49.921445   \n",
       "1082  50.571320  50.596614  50.616964  ...  50.594170  50.582692  50.568876   \n",
       "1083  49.326233  49.309087  49.288400  ...  49.056379  48.981404  48.888443   \n",
       "1084  47.099796  47.076238  47.051613  ...  46.995893  47.049546  47.106068   \n",
       "\n",
       "           2007       2006       2005       2004       2003       2002  \\\n",
       "1080  47.877604  47.870702  47.852669  47.825150  47.789128  47.754932   \n",
       "1081  49.947631  49.983323  50.028649  50.089953  50.167544  50.248196   \n",
       "1082  50.553633  50.539012  50.522514  50.502720  50.481666  50.459941   \n",
       "1083  48.784780  48.676944  48.571398  48.476900  48.393634  48.313646   \n",
       "1084  47.166435  47.190963  47.231433  47.324096  47.387633  47.428426   \n",
       "\n",
       "           2001  \n",
       "1080  47.725126  \n",
       "1081  50.321633  \n",
       "1082  50.437238  \n",
       "1083  48.229968  \n",
       "1084  47.460469  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7e38ed7",
   "metadata": {},
   "source": [
    "## Checking the shape of the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "84d08646",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1085, 26)"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10d7ace9",
   "metadata": {},
   "source": [
    "## Checking the columns of the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "a761e3c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Series Name', 'Series Code', 'Country Name', 'Country Code', '2022',\n",
       "       '2021', '2020', '2019', '2018', '2017', '2016', '2015', '2014', '2013',\n",
       "       '2012', '2011', '2010', '2009', '2008', '2007', '2006', '2005', '2004',\n",
       "       '2003', '2002', '2001'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a6ab5aa",
   "metadata": {},
   "source": [
    "## Some information about the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "d9c1a87a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1085 entries, 0 to 1084\n",
      "Data columns (total 26 columns):\n",
      " #   Column        Non-Null Count  Dtype  \n",
      "---  ------        --------------  -----  \n",
      " 0   Series Name   1085 non-null   object \n",
      " 1   Series Code   1085 non-null   object \n",
      " 2   Country Name  1085 non-null   object \n",
      " 3   Country Code  1085 non-null   object \n",
      " 4   2022          1085 non-null   float64\n",
      " 5   2021          1085 non-null   float64\n",
      " 6   2020          1085 non-null   float64\n",
      " 7   2019          1085 non-null   float64\n",
      " 8   2018          1085 non-null   float64\n",
      " 9   2017          1085 non-null   float64\n",
      " 10  2016          1085 non-null   float64\n",
      " 11  2015          1085 non-null   float64\n",
      " 12  2014          1085 non-null   float64\n",
      " 13  2013          1085 non-null   float64\n",
      " 14  2012          1085 non-null   float64\n",
      " 15  2011          1085 non-null   float64\n",
      " 16  2010          1085 non-null   float64\n",
      " 17  2009          1085 non-null   float64\n",
      " 18  2008          1085 non-null   float64\n",
      " 19  2007          1085 non-null   float64\n",
      " 20  2006          1085 non-null   float64\n",
      " 21  2005          1085 non-null   float64\n",
      " 22  2004          1085 non-null   float64\n",
      " 23  2003          1085 non-null   float64\n",
      " 24  2002          1085 non-null   float64\n",
      " 25  2001          1085 non-null   float64\n",
      "dtypes: float64(22), object(4)\n",
      "memory usage: 220.5+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "47ddb8bd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2022</th>\n",
       "      <th>2021</th>\n",
       "      <th>2020</th>\n",
       "      <th>2019</th>\n",
       "      <th>2018</th>\n",
       "      <th>2017</th>\n",
       "      <th>2016</th>\n",
       "      <th>2015</th>\n",
       "      <th>2014</th>\n",
       "      <th>2013</th>\n",
       "      <th>...</th>\n",
       "      <th>2010</th>\n",
       "      <th>2009</th>\n",
       "      <th>2008</th>\n",
       "      <th>2007</th>\n",
       "      <th>2006</th>\n",
       "      <th>2005</th>\n",
       "      <th>2004</th>\n",
       "      <th>2003</th>\n",
       "      <th>2002</th>\n",
       "      <th>2001</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.085000e+03</td>\n",
       "      <td>1.085000e+03</td>\n",
       "      <td>1.085000e+03</td>\n",
       "      <td>1.085000e+03</td>\n",
       "      <td>1.085000e+03</td>\n",
       "      <td>1.085000e+03</td>\n",
       "      <td>1.085000e+03</td>\n",
       "      <td>1.085000e+03</td>\n",
       "      <td>1.085000e+03</td>\n",
       "      <td>1.085000e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>1.085000e+03</td>\n",
       "      <td>1.085000e+03</td>\n",
       "      <td>1.085000e+03</td>\n",
       "      <td>1.085000e+03</td>\n",
       "      <td>1.085000e+03</td>\n",
       "      <td>1.085000e+03</td>\n",
       "      <td>1.085000e+03</td>\n",
       "      <td>1.085000e+03</td>\n",
       "      <td>1.085000e+03</td>\n",
       "      <td>1.085000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.461378e+07</td>\n",
       "      <td>1.449711e+07</td>\n",
       "      <td>1.437307e+07</td>\n",
       "      <td>1.422876e+07</td>\n",
       "      <td>1.407966e+07</td>\n",
       "      <td>1.392568e+07</td>\n",
       "      <td>1.376711e+07</td>\n",
       "      <td>1.360705e+07</td>\n",
       "      <td>1.344625e+07</td>\n",
       "      <td>1.328368e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>1.280537e+07</td>\n",
       "      <td>1.265031e+07</td>\n",
       "      <td>1.249535e+07</td>\n",
       "      <td>1.234099e+07</td>\n",
       "      <td>1.218858e+07</td>\n",
       "      <td>1.203685e+07</td>\n",
       "      <td>1.188626e+07</td>\n",
       "      <td>1.173626e+07</td>\n",
       "      <td>1.158653e+07</td>\n",
       "      <td>1.143598e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>7.832944e+07</td>\n",
       "      <td>7.801505e+07</td>\n",
       "      <td>7.763257e+07</td>\n",
       "      <td>7.712985e+07</td>\n",
       "      <td>7.657562e+07</td>\n",
       "      <td>7.596457e+07</td>\n",
       "      <td>7.528760e+07</td>\n",
       "      <td>7.461740e+07</td>\n",
       "      <td>7.394894e+07</td>\n",
       "      <td>7.325356e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>7.113128e+07</td>\n",
       "      <td>7.047509e+07</td>\n",
       "      <td>6.982016e+07</td>\n",
       "      <td>6.915934e+07</td>\n",
       "      <td>6.849229e+07</td>\n",
       "      <td>6.780708e+07</td>\n",
       "      <td>6.710041e+07</td>\n",
       "      <td>6.638386e+07</td>\n",
       "      <td>6.565651e+07</td>\n",
       "      <td>6.490862e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2.749000e+01</td>\n",
       "      <td>2.732503e+01</td>\n",
       "      <td>2.735104e+01</td>\n",
       "      <td>2.676295e+01</td>\n",
       "      <td>2.573928e+01</td>\n",
       "      <td>2.508394e+01</td>\n",
       "      <td>2.464721e+01</td>\n",
       "      <td>2.474106e+01</td>\n",
       "      <td>2.540718e+01</td>\n",
       "      <td>2.594943e+01</td>\n",
       "      <td>...</td>\n",
       "      <td>2.425072e+01</td>\n",
       "      <td>2.339422e+01</td>\n",
       "      <td>2.356750e+01</td>\n",
       "      <td>2.520779e+01</td>\n",
       "      <td>2.831990e+01</td>\n",
       "      <td>3.096426e+01</td>\n",
       "      <td>3.129133e+01</td>\n",
       "      <td>3.137472e+01</td>\n",
       "      <td>3.146521e+01</td>\n",
       "      <td>3.156689e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>5.034029e+01</td>\n",
       "      <td>5.035172e+01</td>\n",
       "      <td>5.034171e+01</td>\n",
       "      <td>5.033040e+01</td>\n",
       "      <td>5.033917e+01</td>\n",
       "      <td>5.033041e+01</td>\n",
       "      <td>5.033966e+01</td>\n",
       "      <td>5.033554e+01</td>\n",
       "      <td>5.032504e+01</td>\n",
       "      <td>5.033767e+01</td>\n",
       "      <td>...</td>\n",
       "      <td>5.034833e+01</td>\n",
       "      <td>5.036836e+01</td>\n",
       "      <td>5.037388e+01</td>\n",
       "      <td>5.036880e+01</td>\n",
       "      <td>5.038085e+01</td>\n",
       "      <td>5.037186e+01</td>\n",
       "      <td>5.036210e+01</td>\n",
       "      <td>5.039432e+01</td>\n",
       "      <td>5.039371e+01</td>\n",
       "      <td>5.038254e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.465500e+05</td>\n",
       "      <td>1.463660e+05</td>\n",
       "      <td>1.461650e+05</td>\n",
       "      <td>1.459570e+05</td>\n",
       "      <td>1.457520e+05</td>\n",
       "      <td>1.441350e+05</td>\n",
       "      <td>1.406060e+05</td>\n",
       "      <td>1.371850e+05</td>\n",
       "      <td>1.349620e+05</td>\n",
       "      <td>1.328960e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>1.263090e+05</td>\n",
       "      <td>1.244660e+05</td>\n",
       "      <td>1.228070e+05</td>\n",
       "      <td>1.209490e+05</td>\n",
       "      <td>1.190890e+05</td>\n",
       "      <td>1.171330e+05</td>\n",
       "      <td>1.152950e+05</td>\n",
       "      <td>1.136960e+05</td>\n",
       "      <td>1.134500e+05</td>\n",
       "      <td>1.136410e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>5.903468e+06</td>\n",
       "      <td>5.856733e+06</td>\n",
       "      <td>5.831404e+06</td>\n",
       "      <td>5.814422e+06</td>\n",
       "      <td>5.774185e+06</td>\n",
       "      <td>5.686999e+06</td>\n",
       "      <td>5.629265e+06</td>\n",
       "      <td>5.544490e+06</td>\n",
       "      <td>5.524552e+06</td>\n",
       "      <td>5.480089e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>5.267970e+06</td>\n",
       "      <td>5.187356e+06</td>\n",
       "      <td>5.100083e+06</td>\n",
       "      <td>5.062560e+06</td>\n",
       "      <td>5.007301e+06</td>\n",
       "      <td>4.989584e+06</td>\n",
       "      <td>4.813244e+06</td>\n",
       "      <td>4.758988e+06</td>\n",
       "      <td>4.698968e+06</td>\n",
       "      <td>4.535518e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.417173e+09</td>\n",
       "      <td>1.412360e+09</td>\n",
       "      <td>1.411100e+09</td>\n",
       "      <td>1.407745e+09</td>\n",
       "      <td>1.402760e+09</td>\n",
       "      <td>1.396215e+09</td>\n",
       "      <td>1.387790e+09</td>\n",
       "      <td>1.379860e+09</td>\n",
       "      <td>1.371860e+09</td>\n",
       "      <td>1.363240e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>1.337705e+09</td>\n",
       "      <td>1.331260e+09</td>\n",
       "      <td>1.324655e+09</td>\n",
       "      <td>1.317885e+09</td>\n",
       "      <td>1.311020e+09</td>\n",
       "      <td>1.303720e+09</td>\n",
       "      <td>1.296075e+09</td>\n",
       "      <td>1.288400e+09</td>\n",
       "      <td>1.280400e+09</td>\n",
       "      <td>1.271850e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               2022          2021          2020          2019          2018  \\\n",
       "count  1.085000e+03  1.085000e+03  1.085000e+03  1.085000e+03  1.085000e+03   \n",
       "mean   1.461378e+07  1.449711e+07  1.437307e+07  1.422876e+07  1.407966e+07   \n",
       "std    7.832944e+07  7.801505e+07  7.763257e+07  7.712985e+07  7.657562e+07   \n",
       "min    2.749000e+01  2.732503e+01  2.735104e+01  2.676295e+01  2.573928e+01   \n",
       "25%    5.034029e+01  5.035172e+01  5.034171e+01  5.033040e+01  5.033917e+01   \n",
       "50%    1.465500e+05  1.463660e+05  1.461650e+05  1.459570e+05  1.457520e+05   \n",
       "75%    5.903468e+06  5.856733e+06  5.831404e+06  5.814422e+06  5.774185e+06   \n",
       "max    1.417173e+09  1.412360e+09  1.411100e+09  1.407745e+09  1.402760e+09   \n",
       "\n",
       "               2017          2016          2015          2014          2013  \\\n",
       "count  1.085000e+03  1.085000e+03  1.085000e+03  1.085000e+03  1.085000e+03   \n",
       "mean   1.392568e+07  1.376711e+07  1.360705e+07  1.344625e+07  1.328368e+07   \n",
       "std    7.596457e+07  7.528760e+07  7.461740e+07  7.394894e+07  7.325356e+07   \n",
       "min    2.508394e+01  2.464721e+01  2.474106e+01  2.540718e+01  2.594943e+01   \n",
       "25%    5.033041e+01  5.033966e+01  5.033554e+01  5.032504e+01  5.033767e+01   \n",
       "50%    1.441350e+05  1.406060e+05  1.371850e+05  1.349620e+05  1.328960e+05   \n",
       "75%    5.686999e+06  5.629265e+06  5.544490e+06  5.524552e+06  5.480089e+06   \n",
       "max    1.396215e+09  1.387790e+09  1.379860e+09  1.371860e+09  1.363240e+09   \n",
       "\n",
       "       ...          2010          2009          2008          2007  \\\n",
       "count  ...  1.085000e+03  1.085000e+03  1.085000e+03  1.085000e+03   \n",
       "mean   ...  1.280537e+07  1.265031e+07  1.249535e+07  1.234099e+07   \n",
       "std    ...  7.113128e+07  7.047509e+07  6.982016e+07  6.915934e+07   \n",
       "min    ...  2.425072e+01  2.339422e+01  2.356750e+01  2.520779e+01   \n",
       "25%    ...  5.034833e+01  5.036836e+01  5.037388e+01  5.036880e+01   \n",
       "50%    ...  1.263090e+05  1.244660e+05  1.228070e+05  1.209490e+05   \n",
       "75%    ...  5.267970e+06  5.187356e+06  5.100083e+06  5.062560e+06   \n",
       "max    ...  1.337705e+09  1.331260e+09  1.324655e+09  1.317885e+09   \n",
       "\n",
       "               2006          2005          2004          2003          2002  \\\n",
       "count  1.085000e+03  1.085000e+03  1.085000e+03  1.085000e+03  1.085000e+03   \n",
       "mean   1.218858e+07  1.203685e+07  1.188626e+07  1.173626e+07  1.158653e+07   \n",
       "std    6.849229e+07  6.780708e+07  6.710041e+07  6.638386e+07  6.565651e+07   \n",
       "min    2.831990e+01  3.096426e+01  3.129133e+01  3.137472e+01  3.146521e+01   \n",
       "25%    5.038085e+01  5.037186e+01  5.036210e+01  5.039432e+01  5.039371e+01   \n",
       "50%    1.190890e+05  1.171330e+05  1.152950e+05  1.136960e+05  1.134500e+05   \n",
       "75%    5.007301e+06  4.989584e+06  4.813244e+06  4.758988e+06  4.698968e+06   \n",
       "max    1.311020e+09  1.303720e+09  1.296075e+09  1.288400e+09  1.280400e+09   \n",
       "\n",
       "               2001  \n",
       "count  1.085000e+03  \n",
       "mean   1.143598e+07  \n",
       "std    6.490862e+07  \n",
       "min    3.156689e+01  \n",
       "25%    5.038254e+01  \n",
       "50%    1.136410e+05  \n",
       "75%    4.535518e+06  \n",
       "max    1.271850e+09  \n",
       "\n",
       "[8 rows x 22 columns]"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "26fe7ad8",
   "metadata": {},
   "source": [
    "## Checking for duplicate rows "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "8697674f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0cf3632",
   "metadata": {},
   "source": [
    "`Observation:`\n",
    "- There are no duplicate rows in the dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15623fe5",
   "metadata": {},
   "source": [
    "## Checking for missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "8890cbdd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Series Name     0\n",
       "Series Code     0\n",
       "Country Name    0\n",
       "Country Code    0\n",
       "2022            0\n",
       "2021            0\n",
       "2020            0\n",
       "2019            0\n",
       "2018            0\n",
       "2017            0\n",
       "2016            0\n",
       "2015            0\n",
       "2014            0\n",
       "2013            0\n",
       "2012            0\n",
       "2011            0\n",
       "2010            0\n",
       "2009            0\n",
       "2008            0\n",
       "2007            0\n",
       "2006            0\n",
       "2005            0\n",
       "2004            0\n",
       "2003            0\n",
       "2002            0\n",
       "2001            0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7050ea56",
   "metadata": {},
   "source": [
    "`Observation:`\n",
    "- no missing values present"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89b15988",
   "metadata": {},
   "source": [
    "## Checking unique values for columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "fde16040",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Afghanistan' 'Albania' 'Algeria' 'American Samoa' 'Andorra' 'Angola'\n",
      " 'Antigua and Barbuda' 'Argentina' 'Armenia' 'Aruba' 'Australia' 'Austria'\n",
      " 'Azerbaijan' 'Bahamas, The' 'Bahrain' 'Bangladesh' 'Barbados' 'Belarus'\n",
      " 'Belgium' 'Belize' 'Benin' 'Bermuda' 'Bhutan' 'Bolivia'\n",
      " 'Bosnia and Herzegovina' 'Botswana' 'Brazil' 'British Virgin Islands'\n",
      " 'Brunei Darussalam' 'Bulgaria' 'Burkina Faso' 'Burundi' 'Cabo Verde'\n",
      " 'Cambodia' 'Cameroon' 'Canada' 'Cayman Islands'\n",
      " 'Central African Republic' 'Chad' 'Channel Islands' 'Chile' 'China'\n",
      " 'Colombia' 'Comoros' 'Congo, Dem. Rep.' 'Congo, Rep.' 'Costa Rica'\n",
      " \"Cote d'Ivoire\" 'Croatia' 'Cuba' 'Curacao' 'Cyprus' 'Czechia' 'Denmark'\n",
      " 'Djibouti' 'Dominica' 'Dominican Republic' 'Ecuador' 'Egypt, Arab Rep.'\n",
      " 'El Salvador' 'Equatorial Guinea' 'Eritrea' 'Estonia' 'Eswatini'\n",
      " 'Ethiopia' 'Faroe Islands' 'Fiji' 'Finland' 'France' 'French Polynesia'\n",
      " 'Gabon' 'Gambia, The' 'Georgia' 'Germany' 'Ghana' 'Gibraltar' 'Greece'\n",
      " 'Greenland' 'Grenada' 'Guam' 'Guatemala' 'Guinea' 'Guinea-Bissau'\n",
      " 'Guyana' 'Haiti' 'Honduras' 'Hong Kong SAR, China' 'Hungary' 'Iceland'\n",
      " 'India' 'Indonesia' 'Iran, Islamic Rep.' 'Iraq' 'Ireland' 'Isle of Man'\n",
      " 'Israel' 'Italy' 'Jamaica' 'Japan' 'Jordan' 'Kazakhstan' 'Kenya'\n",
      " 'Kiribati' \"Korea, Dem. People's Rep.\" 'Korea, Rep.' 'Kosovo' 'Kuwait'\n",
      " 'Kyrgyz Republic' 'Lao PDR' 'Latvia' 'Lebanon' 'Lesotho' 'Liberia'\n",
      " 'Libya' 'Liechtenstein' 'Lithuania' 'Luxembourg' 'Macao SAR, China'\n",
      " 'Madagascar' 'Malawi' 'Malaysia' 'Maldives' 'Mali' 'Malta'\n",
      " 'Marshall Islands' 'Mauritania' 'Mauritius' 'Mexico'\n",
      " 'Micronesia, Fed. Sts.' 'Moldova' 'Monaco' 'Mongolia' 'Montenegro'\n",
      " 'Morocco' 'Mozambique' 'Myanmar' 'Namibia' 'Nauru' 'Nepal' 'Netherlands'\n",
      " 'New Caledonia' 'New Zealand' 'Nicaragua' 'Niger' 'Nigeria'\n",
      " 'North Macedonia' 'Northern Mariana Islands' 'Norway' 'Oman' 'Pakistan'\n",
      " 'Palau' 'Panama' 'Papua New Guinea' 'Paraguay' 'Peru' 'Philippines'\n",
      " 'Poland' 'Portugal' 'Puerto Rico' 'Qatar' 'Romania' 'Russian Federation'\n",
      " 'Rwanda' 'Samoa' 'San Marino' 'Sao Tome and Principe' 'Saudi Arabia'\n",
      " 'Senegal' 'Serbia' 'Seychelles' 'Sierra Leone' 'Singapore'\n",
      " 'Sint Maarten (Dutch part)' 'Slovak Republic' 'Slovenia'\n",
      " 'Solomon Islands' 'Somalia' 'South Africa' 'South Sudan' 'Spain'\n",
      " 'Sri Lanka' 'St. Kitts and Nevis' 'St. Lucia' 'St. Martin (French part)'\n",
      " 'St. Vincent and the Grenadines' 'Sudan' 'Suriname' 'Sweden'\n",
      " 'Switzerland' 'Syrian Arab Republic' 'Tajikistan' 'Tanzania' 'Thailand'\n",
      " 'Timor-Leste' 'Togo' 'Tonga' 'Trinidad and Tobago' 'Tunisia' 'Turkiye'\n",
      " 'Turkmenistan' 'Turks and Caicos Islands' 'Tuvalu' 'Uganda' 'Ukraine'\n",
      " 'United Arab Emirates' 'United Kingdom' 'United States' 'Uruguay'\n",
      " 'Uzbekistan' 'Vanuatu' 'Venezuela, RB' 'Vietnam' 'Virgin Islands (U.S.)'\n",
      " 'West Bank and Gaza' 'Yemen, Rep.' 'Zambia' 'Zimbabwe']\n",
      "\n",
      "Total no of unique countries: 217\n"
     ]
    }
   ],
   "source": [
    "print(df['Country Name'].unique())\n",
    "print(\"\\nTotal no of unique countries:\",df['Country Name'].nunique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "855aef6d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['AFG' 'ALB' 'DZA' 'ASM' 'AND' 'AGO' 'ATG' 'ARG' 'ARM' 'ABW' 'AUS' 'AUT'\n",
      " 'AZE' 'BHS' 'BHR' 'BGD' 'BRB' 'BLR' 'BEL' 'BLZ' 'BEN' 'BMU' 'BTN' 'BOL'\n",
      " 'BIH' 'BWA' 'BRA' 'VGB' 'BRN' 'BGR' 'BFA' 'BDI' 'CPV' 'KHM' 'CMR' 'CAN'\n",
      " 'CYM' 'CAF' 'TCD' 'CHI' 'CHL' 'CHN' 'COL' 'COM' 'COD' 'COG' 'CRI' 'CIV'\n",
      " 'HRV' 'CUB' 'CUW' 'CYP' 'CZE' 'DNK' 'DJI' 'DMA' 'DOM' 'ECU' 'EGY' 'SLV'\n",
      " 'GNQ' 'ERI' 'EST' 'SWZ' 'ETH' 'FRO' 'FJI' 'FIN' 'FRA' 'PYF' 'GAB' 'GMB'\n",
      " 'GEO' 'DEU' 'GHA' 'GIB' 'GRC' 'GRL' 'GRD' 'GUM' 'GTM' 'GIN' 'GNB' 'GUY'\n",
      " 'HTI' 'HND' 'HKG' 'HUN' 'ISL' 'IND' 'IDN' 'IRN' 'IRQ' 'IRL' 'IMN' 'ISR'\n",
      " 'ITA' 'JAM' 'JPN' 'JOR' 'KAZ' 'KEN' 'KIR' 'PRK' 'KOR' 'XKX' 'KWT' 'KGZ'\n",
      " 'LAO' 'LVA' 'LBN' 'LSO' 'LBR' 'LBY' 'LIE' 'LTU' 'LUX' 'MAC' 'MDG' 'MWI'\n",
      " 'MYS' 'MDV' 'MLI' 'MLT' 'MHL' 'MRT' 'MUS' 'MEX' 'FSM' 'MDA' 'MCO' 'MNG'\n",
      " 'MNE' 'MAR' 'MOZ' 'MMR' 'NAM' 'NRU' 'NPL' 'NLD' 'NCL' 'NZL' 'NIC' 'NER'\n",
      " 'NGA' 'MKD' 'MNP' 'NOR' 'OMN' 'PAK' 'PLW' 'PAN' 'PNG' 'PRY' 'PER' 'PHL'\n",
      " 'POL' 'PRT' 'PRI' 'QAT' 'ROU' 'RUS' 'RWA' 'WSM' 'SMR' 'STP' 'SAU' 'SEN'\n",
      " 'SRB' 'SYC' 'SLE' 'SGP' 'SXM' 'SVK' 'SVN' 'SLB' 'SOM' 'ZAF' 'SSD' 'ESP'\n",
      " 'LKA' 'KNA' 'LCA' 'MAF' 'VCT' 'SDN' 'SUR' 'SWE' 'CHE' 'SYR' 'TJK' 'TZA'\n",
      " 'THA' 'TLS' 'TGO' 'TON' 'TTO' 'TUN' 'TUR' 'TKM' 'TCA' 'TUV' 'UGA' 'UKR'\n",
      " 'ARE' 'GBR' 'USA' 'URY' 'UZB' 'VUT' 'VEN' 'VNM' 'VIR' 'PSE' 'YEM' 'ZMB'\n",
      " 'ZWE']\n",
      "\n",
      "Total no of unique country code: 217\n"
     ]
    }
   ],
   "source": [
    "print(df['Country Code'].unique())\n",
    "print(\"\\nTotal no of unique country code:\",df['Country Code'].nunique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "c8fc7cb9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Population, total', 'Population, female', 'Population, male',\n",
       "       'Population, female (% of total population)',\n",
       "       'Population, male (% of total population)'], dtype=object)"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Series Name'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "626f2a82",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['SP.POP.TOTL', 'SP.POP.TOTL.FE.IN', 'SP.POP.TOTL.MA.IN',\n",
       "       'SP.POP.TOTL.FE.ZS', 'SP.POP.TOTL.MA.ZS'], dtype=object)"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Series Code'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95c630f1",
   "metadata": {},
   "source": [
    "## Dropping unnecessary columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "45802906",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(['Series Name','Country Code'],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "bbc80dbd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Series Code', 'Country Name', '2022', '2021', '2020', '2019', '2018',\n",
       "       '2017', '2016', '2015', '2014', '2013', '2012', '2011', '2010', '2009',\n",
       "       '2008', '2007', '2006', '2005', '2004', '2003', '2002', '2001'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b3aefad",
   "metadata": {},
   "source": [
    "## Extraction of top-10 countries with respect to total population"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "id": "9add2e76",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Top ten countries of total population\n",
      "\n",
      "           Country Name\n",
      "89                India\n",
      "41                China\n",
      "206       United States\n",
      "90            Indonesia\n",
      "149            Pakistan\n",
      "144             Nigeria\n",
      "26               Brazil\n",
      "15           Bangladesh\n",
      "161  Russian Federation\n",
      "127              Mexico\n"
     ]
    }
   ],
   "source": [
    "# Filter data for total population\n",
    "total_population_data = df[df['Series Code'] == 'SP.POP.TOTL']\n",
    "\n",
    "# Sort data based on the total population for 2022\n",
    "total_population_sorted = total_population_data.sort_values(by=\"2022\", ascending=False)\n",
    "\n",
    "# Get the top ten countries with the highest total population for 2022\n",
    "total_top_ten_countries = total_population_sorted.head(10)\n",
    "print(\"Top ten countries of total population\\n\")\n",
    "print(total_top_ten_countries[['Country Name']] )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62db659a",
   "metadata": {},
   "source": [
    "# Bar Plot\n",
    "\n",
    "## Top ten countries of total population in year 2022 and 2016"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "id": "5f1a16c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ExcVh8eLF2LVrV54bd3bs2IHff/8dt2/fxsyZM3H+/PlS3aA2Y8YM/PHHHwgICMD169cRGxuLbdu2Ydq0aaW+BolEguDgYNy+fRstW7bEgQMHcPfuXVy5cgVz5sxBly5dALy9QU1LSwsDBw7EtWvXcPz4cYwePRr9+/dHzZo1AQBt2rTB/v37sX//fty8eRMjRowo8Zc/1KhRAzKZDGFhYfjvv/+QnJxc7Lrt2rWDu7s7unbtikOHDiEhIQGnT5/GtGnTEBUVhdevX2PUqFGIiIjA/fv3cerUKVy4cKHQJKdly5ZITU3Fvn37xKTY09NTnGF9d8btfZaWljh37hwSEhLw9OnTMv8yBBsbG3Tp0gVDhw7FyZMnxRs5a9WqJf7eLC0tkZaWhvDwcDx9+hSvXr1C7dq1oampiRUrVuDu3bvYu3cvfv755zKNrV27dnByckLfvn1x6dIlnD9/HgMGDECrVq2UbjLLfU1dvnwZkZGR8Pf3R69evWBsbAyg5K+punXrIjs7W7y2jRs3Yu3atUpl8huT0sZfUkZGRnB1dVX6Yzo7Oxs9evRAVFQUNm3ahJycHDx69AiPHj0SZ+7lcjkGDx6M8ePHIzw8HNHR0ejXrx8cHR3Rrl07sa3ExETExMQgMTEROTk5iImJQUxMDNLS0gC8/YOwS5cu+OGHH3D69Glcu3YNAwcORL169dC6dWuxnbNnz0IqleZZ+kWfsMpZykxEn6vSPpJt1apVQvv27QWpVCpYWFgIW7ZsKXV/YWFhQvPmzQWZTCbo6+sLTZo0EX799Vel/nbv3q1URy6XC8HBwYX2devWLWHAgAGCqampoKmpKVhYWAh9+vRRugGvqEeyZWZmCsOHDxeqV68u1KhRQ5g3b16xbopydnYWH4slCIKwfv16wdzcXFBTU8vzSLb3vd9eSkqKMHr0aMHU1FTQ0NAQzM3Nhb59+wqJiYlCRkaG8M033wjm5uaCpqamYGpqKowaNarIG9waNWokGBkZiTdHPXv2TJBIJEKPHj2Uyr0f461bt4RmzZoJMpkszyPZ3r2BLTo6WjxflIIeySaXywWZTCZ4eXmJj2TL5efnJxgYGCg9fmzz5s2CpaWlIJVKBXd3d2Hv3r1KNziW9pFs7yruI81Wr14tmJqaClpaWkL37t2F58+fi2VK85pavHixYGJiIo7HH3/8keda8huT0j6S7V1LliwRHxdYkLVr1wrNmjUT93NvLs1vO378uFju9evXwqhRo4Tq1asLMplM6NSpk9KNgIKQ/6MA328nOTlZGDRokFC1alWhevXqQrdu3fK08/333wvDhg0r9Dro0yIRhAIWXBERVRCJRILdu3cX+fW/RKomICAAe/bsKfa3F34u3rx5Azs7O2zduvWjnIl98uQJ6tWrh6ioKNSpU6eyw6EywuUTRERE9FHR0tLCH3/8gadPn1Z2KPm6d+8eVq9ezYT4M8OnTxAREdFHp7SP8qsITZo0QZMmTSo7DCpjXD5BRERERCqPyyeIiIiISOUxKSYiIiIilcekmIiIiIhUHm+0o0+CQqHAw4cPoaenV6qv/iUiIiLVJAgCUlNTYWpqWug3mzIppk/Cw4cPYW5uXtlhEBER0SfqwYMHMDMzK/A8k2L6JOjp6QF4+4LW19ev5GiIiIjoU5GSkgJzc3MxlygIk2L6JOQumZi5IgGaUt1KjoaIiIjWzHKp7BBKpKjll7zRjoiIiIhUHpNiIiIiIlJ5TIqpTEgkEuzZswcAkJCQAIlEgpiYmEqNiYiIiKi4uKaY4Ovri5cvX4pJ7YcyNzdHUlISDA0Ny6Q9IiIiovLGpJjKnLq6OoyNjSs7DCIiIqJi4/IJUuLp6Ql/f39MmjQJ1atXh7GxMQICApTKxMXFoWXLltDS0oKDgwOOHDmidP795RM5OTkYPHgw6tSpA5lMBjs7OyxbtqyCroiIiIioaJwppjw2bNiAcePG4dy5czhz5gx8fX3h4eGB9u3bQ6FQoHv37jA0NMTZs2eRkpKCMWPGFNqeQqGAmZkZtm/fDkNDQ5w+fRrff/89TExM0KtXr3zrZGRkICMjQ9xPSUkpy0skIiIiUsKkmPJwcnLCzJkzAQA2NjZYuXIlwsPD0b59exw9ehSxsbFISEgQvxVm7ty56NixY4HtaWhoIDAwUNyvU6cOTp8+je3btxeYFM+bN0+pDhEREVF54vIJysPJyUlp38TEBI8fPwYAxMbGonbt2kpfk+ju7l5km2vXroWbmxuMjIygq6uL9evXIzExscDyU6ZMQXJysrg9ePCglFdDREREVDTOFFMeGhoaSvsSiQQKhQIAIAhCnvJFfUPM9u3bMXbsWAQFBcHd3R16enpYuHAhzp07V2AdqVQKqVRaiuiJiIiISo5JMZWIg4MDEhMT8fDhQ5iamgIAzpw5U2idyMhING/eHCNGjBCPxcfHl2ucRERERCXB5RNUIu3atYOdnR0GDBiAy5cvIzIyElOnTi20jrW1NaKionDo0CHcvn0b06dPx4ULFyooYiIiIqKiMSmmElFTU8Pu3buRkZGBJk2aYMiQIZgzZ06hdfz8/NC9e3f07t0bTZs2xbNnz5RmjYmIiIgqm0TIb5Eo0UcmJSUFcrkcgyZFQlOqW9nhEBERqbw1s1wqO4Riyc0hkpOToa+vX2A5zhQTERERkcpjUkxEREREKo9Pn6BPypKpToV+9EFERERUGpwpJiIiIiKVx6SYiIiIiFQek2IiIiIiUnlcU0yflEWbkqAlS6vsMIiIiKgM/ORrWtkhiDhTTEREREQqj0kxEREREak8JsWkRCKRYM+ePQWej4iIgEQiwcuXLyssJiIiIqLyxqRYxTx69AijR4+GlZUVpFIpzM3N0blzZ4SHhxerfvPmzZGUlAS5XF7OkRIRERFVHN5op0ISEhLg4eGBqlWr4pdffoGTkxOysrJw6NAhjBw5Ejdv3iyyDU1NTRgbG1dAtEREREQVhzPFKmTEiBGQSCQ4f/48evToAVtbW9SvXx/jxo3D2bNnxXJPnz5Ft27doK2tDRsbG+zdu1c89/7yiZCQEFStWhWHDh2Cvb09dHV14e3tjaSkJLHOhQsX0L59exgaGkIul6NVq1a4dOlShV03ERERUVGYFKuI58+fIywsDCNHjoSOjk6e81WrVhV/DgwMRK9evXDlyhX4+Pigb9++eP78eYFtv3r1CosWLcLGjRvx999/IzExERMmTBDPp6amYuDAgYiMjMTZs2dhY2MDHx8fpKamFthmRkYGUlJSlDYiIiKi8sKkWEXcuXMHgiCgXr16RZb19fVFnz59YG1tjblz5yI9PR3nz58vsHxWVhbWrl0LNzc3uLq6YtSoUUprlNu0aYN+/frB3t4e9vb2WLduHV69eoUTJ04U2Oa8efMgl8vFzdzcvGQXTERERFQCTIpVhCAIAN4+XaIoTk5O4s86OjrQ09PD48ePCyyvra2NunXrivsmJiZK5R8/fgw/Pz/Y2tqKSW5aWhoSExMLbHPKlClITk4WtwcPHhQZNxEREVFp8UY7FWFjYwOJRILY2Fh07dq10LIaGhpK+xKJBAqFokTlc5Nw4O3M85MnT7B06VJYWFhAKpXC3d0dmZmZBbYplUohlUoLjZOIiIiorHCmWEVUr14dXl5eWLVqFdLT0/OcL8/nDkdGRsLf3x8+Pj6oX78+pFIpnj59Wm79EREREZUUk2IVsnr1auTk5KBJkybYuXMn4uLiEBsbi+XLl8Pd3b3c+rW2tsbGjRsRGxuLc+fOoW/fvpDJZOXWHxEREVFJMSlWIXXq1MGlS5fQunVrjB8/Hg0aNED79u0RHh6ONWvWlFu/v//+O168eIGGDRuif//+8Pf3R40aNcqtPyIiIqKSkgjvLv4k+kilpKRALpdj+uqb0JLpVXY4REREVAZ+8jUt9z5yc4jk5GTo6+sXWI4zxURERESk8pgUExEREZHK4yPZ6JMyoa9JoR99EBEREZUGZ4qJiIiISOUxKSYiIiIilcekmIiIiIhUHtcU0ydl6/EUyHQqOwoqK/3bcX04ERF9HDhTTEREREQqj0kxEREREak8JsXlyNPTE2PGjCmXti0tLbF06dJyaZuIiIhI1TApfk9BieyePXsgkUhK1NauXbvw888/i/sVmcimp6dj8uTJsLKygpaWFoyMjODp6YnQ0NAPjqc8k30iIiKiysAb7cpR9erVK61vPz8/nD9/HitXroSDgwOePXuG06dP49mzZ5UWExEREdHHijPFpRQQEAAXFxds3LgRlpaWkMvl+Oabb5CamiqWeXdG1dPTE/fv38fYsWMhkUiUZp1Pnz6Nli1bQiaTwdzcHP7+/khPTxfPP378GJ07d4ZMJkOdOnWwadOmIuPbt28ffvrpJ/j4+MDS0hKNGjXC6NGjMXDgwELjefbsGfr06QMzMzNoa2vD0dERW7ZsEdv19fXFiRMnsGzZMrFeQkICAODGjRvw8fGBrq4uatasif79++Pp06di3b/++guOjo6QyWQwMDBAu3btlK6TiIiIqLIwKf4A8fHx2LNnD0JDQxEaGooTJ05g/vz5+ZbdtWsXzMzMMGvWLCQlJSEpKQkAcPXqVXh5eaF79+64cuUKtm3bhpMnT2LUqFFiXV9fXyQkJODYsWP466+/sHr1ajx+/LjQ2IyNjXHgwAGlJL048bx58waNGjVCaGgorl27hu+//x79+/fHuXPnAADLli2Du7s7hg4dKtYzNzdHUlISWrVqBRcXF0RFRSEsLAz//fcfevXqBQBISkpCnz59MGjQIMTGxiIiIgLdu3eHIAj5xpeRkYGUlBSljYiIiKi8cPnEB1AoFAgJCYGenh4AoH///ggPD8ecOXPylK1evTrU1dWhp6cHY2Nj8fjChQvx7bffijPKNjY2WL58OVq1aoU1a9YgMTERBw8exNmzZ9G0aVMAwG+//QZ7e/tCY/v111/Rt29fGBgYwNnZGV988QV69OgBDw+PQuOpVasWJkyYIO6PHj0aYWFh2LFjB5o2bQq5XA5NTU1oa2sr1VuzZg1cXV0xd+5c8djvv/8Oc3Nz3L59G2lpacjOzkb37t1hYWEBAHB0dCww/nnz5iEwMLDQayQiIiIqK5wp/gCWlpZiQgwAJiYmRc7gvu/ixYsICQmBrq6uuHl5eUGhUODevXuIjY1FlSpV4ObmJtapV68eqlatWmi7LVu2xN27dxEeHo6vv/4a169fR4sWLZRu/MtPTk4O5syZAycnJxgYGEBXVxeHDx9GYmJikddx/PhxpeuoV68egLcz6s7Ozmjbti0cHR3Rs2dPrF+/Hi9evCiwvSlTpiA5OVncHjx4UGj/RERERB+CM8Xv0dfXR3Jycp7jL1++hL6+8rdvaWhoKO1LJBIoFIoS9adQKDBs2DD4+/vnOVe7dm3cunVLbLukNDQ00KJFC7Ro0QI//vgjZs+ejVmzZmHy5MnQ1NTMt05QUBCWLFmCpUuXwtHRETo6OhgzZgwyMzOLvI7OnTtjwYIFec6ZmJhAXV0dR44cwenTp3H48GGsWLECU6dOxblz51CnTp08daRSKaRSaYmvmYiIiKg0mBS/p169ejh48GCe4xcuXICdnd0Hta2pqYmcnBylY66urrh+/Tqsra3zrWNvb4/s7GxERUWhSZMmAIBbt27h5cuXJe7fwcEB2dnZePPmDTQ1NfONJzIyEl26dEG/fv0AvE124+LilJZrFHQdO3fuhKWlJapUyf9lJZFI4OHhAQ8PD8yYMQMWFhbYvXs3xo0bV+JrISIiIipLXD7xnhEjRiA+Ph4jR47E5cuXcfv2baxatQq//fYbJk6c+EFtW1pa4u+//8a///4rPpVh8uTJOHPmDEaOHImYmBjExcVh7969GD16NADAzs4O3t7eGDp0KM6dO4eLFy9iyJAhkMlkhfbl6emJdevW4eLFi0hISMCBAwfw008/oXXr1uKMd37xWFtbizO6sbGxGDZsGB49epTnOs6dO4eEhAQ8ffoUCoUCI0eOxPPnz9GnTx+cP38ed+/exeHDhzFo0CDk5OTg3LlzmDt3LqKiopCYmIhdu3bhyZMnRa6NJiIiIqoITIrfY2lpicjISMTHx6NDhw5o3LgxQkJCEBISgp49e35Q27NmzUJCQgLq1q0LIyMjAICTkxNOnDiBuLg4tGjRAg0bNsT06dNhYmIi1gsODoa5uTlatWqF7t274/vvv0eNGjUK7cvLywsbNmxAhw4dYG9vj9GjR8PLywvbt28vNJ7p06fD1dUVXl5e8PT0hLGxMbp27arU9oQJE6Curg4HBwcYGRkhMTERpqamOHXqFHJycuDl5YUGDRrghx9+gFwuh5qaGvT19fH333/Dx8cHtra2mDZtGoKCgtCxY8cPGlMiIiKisiARCnomFtFHJCUlBXK5HOv2PIBMR7/oCvRJ6N+Ov0siIipfuTlEcnJynvvD3sWZYiIiIiJSeUyKiYiIiEjl8ekT9En5prV+oR99EBEREZUGZ4qJiIiISOUxKSYiIiIilcekmIiIiIhUHtcU0yflxNVU6OiW/Cuv6cO0cdar7BCIiIjKFWeKiYiIiEjlMSkmIiIiIpXHpPgzIJFIsGfPnsoOQxQREQGJRIKXL19WdihERERExcKkuJL5+vqia9eulR1GmWrevDmSkpIgl8srOxQiIiKiYuGNdlTmNDU1YWxsXNlhEBERERUbZ4o/Ip6envD398ekSZNQvXp1GBsbIyAgQKlMXFwcWrZsCS0tLTg4OODIkSN52rl69SratGkDmUwGAwMDfP/990hLSxPP585OL1q0CCYmJjAwMMDIkSORlZUllsnMzMSkSZNQq1Yt6OjooGnTpoiIiBDP379/H507d0a1atWgo6OD+vXr48CBAwDyLp949uwZ+vTpAzMzM2hra8PR0RFbtmwpu4EjIiIi+kCcKf7IbNiwAePGjcO5c+dw5swZ+Pr6wsPDA+3bt4dCoUD37t1haGiIs2fPIiUlBWPGjFGq/+rVK3h7e6NZs2a4cOECHj9+jCFDhmDUqFEICQkRyx0/fhwmJiY4fvw47ty5g969e8PFxQVDhw4FAHz33XdISEjA1q1bYWpqit27d8Pb2xtXr16FjY0NRo4ciczMTPz999/Q0dHBjRs3oKurm+81vXnzBo0aNcLkyZOhr6+P/fv3o3///rCyskLTpk3zrZORkYGMjAxxPyUl5cMGloiIiKgQTIo/Mk5OTpg5cyYAwMbGBitXrkR4eDjat2+Po0ePIjY2FgkJCTAzMwMAzJ07Fx07dhTrb9q0Ca9fv8Yff/wBHR0dAMDKlSvRuXNnLFiwADVr1gQAVKtWDStXroS6ujrq1auHL7/8EuHh4Rg6dCji4+OxZcsW/PPPPzA1NQUATJgwAWFhYQgODsbcuXORmJiIr7/+Go6OjgAAKyurAq+pVq1amDBhgrg/evRohIWFYceOHQUmxfPmzUNgYGBph5GIiIioRJgUf2ScnJyU9k1MTPD48WMAQGxsLGrXri0mxADg7u6uVD42NhbOzs5iQgwAHh4eUCgUuHXrlpgU169fH+rq6kr9XL16FQBw6dIlCIIAW1tbpbYzMjJgYGAAAPD398fw4cNx+PBhtGvXDl9//XWe2HPl5ORg/vz52LZtG/79919xFvjdGN83ZcoUjBs3TtxPSUmBubl5geWJiIiIPgST4o+MhoaG0r5EIoFCoQAACIKQp7xEovztboIg5DmWX9nC+lEoFFBXV8fFixeVEmcA4hKJIUOGwMvLC/v378fhw4cxb948BAUFYfTo0Xn6DQoKwpIlS7B06VI4OjpCR0cHY8aMQWZmZr5xAoBUKoVUKi3wPBEREVFZ4o12nxAHBwckJibi4cOH4rEzZ87kKRMTE4P09HTx2KlTp6CmppZn5rcgDRs2RE5ODh4/fgxra2ul7d2nSpibm8PPzw+7du3C+PHjsX79+nzbi4yMRJcuXdCvXz84OzvDysoKcXFxJbl0IiIionLFpPgT0q5dO9jZ2WHAgAG4fPkyIiMjMXXqVKUyffv2hZaWFgYOHIhr167h+PHjGD16NPr37y8unSiKra0t+vbtiwEDBmDXrl24d+8eLly4gAULFohPmBgzZgwOHTqEe/fu4dKlSzh27Bjs7e3zbc/a2hpHjhzB6dOnERsbi2HDhuHRo0cfNhhEREREZYhJ8SdETU0Nu3fvRkZGBpo0aYIhQ4Zgzpw5SmW0tbVx6NAhPH/+HI0bN0aPHj3Qtm1brFy5skR9BQcHY8CAARg/fjzs7Ozw1Vdf4dy5c+K63pycHIwcORL29vbw9vaGnZ0dVq9enW9b06dPh6urK7y8vODp6QljY+PP7gtLiIiI6NMmEfJbqEr0kUlJSYFcLsfek/9AR1e/ssNROW2c9So7BCIiolLJzSGSk5Ohr19wDlGqmWJfX1/8/fffpQ6OiIiIiOhjUqqkODU1FR06dICNjQ3mzp2Lf//9t6zjIiIiIiKqMKVePvHs2TP8+eefCAkJwbVr19CuXTsMHjwYXbp0yfO4L6IPVdyPPoiIiIjeVa7LJwDAwMAAP/zwA6Kjo3H+/HlYW1ujf//+MDU1xdixY/nILSIiIiL6ZHzw0yeSkpJw+PBhHD58GOrq6vDx8cH169fh4OCAJUuWlEWMRERERETlqlRJcVZWFnbu3IlOnTrBwsICO3bswNixY5GUlIQNGzbg8OHD2LhxI2bNmlXW8RIRERERlblSfc2ziYkJFAoF+vTpg/Pnz8PFxSVPGS8vL1StWvUDwyNSFhv/CLp66UUXJFF9a5PKDoGIiOijV6qkePHixejVqxe0tLQKLFOtWjXcu3ev1IEREREREVWUEi+fyM7OxqBBg3Dnzp3yiIeIiIiIqMKVOCmuUqUKLCwskJOTUx7xUBmKiIiARCLBy5cv8z2fkJAAiUSCmJiYCo2LiIiI6GNTqhvtpk2bhilTpuD58+dlHQ+9x9fXFxKJBBKJBBoaGrCyssKECROQnv7h62rNzc2RlJSEBg0aFFmWCTQRERF9zkq1pnj58uW4c+cOTE1NYWFhAR0dHaXzly5dKpPg6C1vb28EBwcjKysLkZGRGDJkCNLT07FmzZoPalddXR3GxsZlFCURERHRp6tUM8VdunTBhAkTMGXKFHz77bfo0qWL0kZlSyqVwtjYGObm5vj222/Rt29f7NmzB3/++Sfc3Nygp6cHY2NjfPvtt3j8+HGB7bx+/RpffvklmjVrhufPn+eZ/X3x4gX69u0LIyMjyGQy2NjYIDg4GABQp04dAEDDhg0hkUjg6ekJALhw4QLat28PQ0NDyOVytGrVKs8fRRKJBP/73//QrVs3aGtrw8bGBnv37i37gSIiIiIqpVLNFAcEBJRxGFQSMpkMWVlZyMzMxM8//ww7Ozs8fvwYY8eOha+vLw4cOJCnTnJyMjp16gQtLS2Eh4dDR0cHKSkpSmWmT5+OGzdu4ODBgzA0NMSdO3fw+vVrAMD58+fRpEkTHD16FPXr14empiYAIDU1FQMHDsTy5csBAEFBQfDx8UFcXBz09PTEtgMDA/HLL79g4cKFWLFiBfr27Yv79++jevXq+V5jRkYGMjIyxP33YyUiIiIqS6VKiq2srHDhwgUYGBgoHX/58iVcXV1x9+7dMgmO8jp//jw2b96Mtm3bYtCgQeJxKysrLF++HE2aNEFaWhp0dXXFc//99x969+6NunXrYsuWLWJC+77ExEQ0bNgQbm5uAABLS0vxnJGREYC3X+/97pKLNm3aKLWxbt06VKtWDSdOnECnTp3E476+vujTpw8AYO7cuVixYgXOnz8Pb2/vfGOZN28eAgMDizMkRERERB+sVMsnEhIS8n36REZGBv75558PDoqUhYaGQldXF1paWnB3d0fLli2xYsUKREdHo0uXLrCwsICenp64pCExMVGpfrt27WBlZYXt27cXmBADwPDhw7F161a4uLhg0qRJOH36dJGxPX78GH5+frC1tYVcLodcLkdaWlqeGJycnMSfdXR0oKenV+hSjylTpiA5OVncHjx4UGQsRERERKVVopnid9eBHjp0CHK5XNzPyclBeHi4uPaUyk7r1q2xZs0aaGhowNTUFBoaGkhPT0eHDh3QoUMH/PnnnzAyMkJiYiK8vLyQmZmpVP/LL7/Ezp07cePGDTg6OhbYT8eOHXH//n3s378fR48eRdu2bTFy5EgsWrSowDq+vr548uQJli5dCgsLC0ilUri7u+eJQUNDQ2lfIpFAoVAU2K5UKoVUKi1sWIiIiIjKTImS4q5duwJ4m9AMHDhQ6ZyGhgYsLS0RFBRUZsHRWzo6OrC2tlY6dvPmTTx9+hTz58+Hubk5ACAqKirf+vPnz4euri7atm2LiIgIODg4FNiXkZERfH194evrixYtWmDixIlYtGiROMP8/icEkZGRWL16NXx8fAAADx48wNOnT0t9rURERESVoURJce7MXp06dXDhwgUYGhqWS1BUtNq1a0NTUxMrVqyAn58frl27hp9//rnA8osWLUJOTg7atGmDiIgI1KtXL0+ZGTNmoFGjRqhfvz4yMjIQGhoKe3t7AECNGjUgk8kQFhYGMzMzaGlpQS6Xw9raGhs3boSbmxtSUlIwceJEyGSycrtuIiIiovJQqjXF9+7dY0JcyYyMjBASEoIdO3bAwcEB8+fPL3SZAwAsWbIEvXr1Qps2bXD79u085zU1NTFlyhQ4OTmhZcuWUFdXx9atWwG8/SbD5cuXY926dTA1NRUfvff777/jxYsXaNiwIfr37w9/f3/UqFGj7C+YiIiIqBxJBEEQSlMxPDwc4eHhePz4cZ61ob///nuZBEeUKyUlBXK5HGcv3YLuO496o6LVtzap7BCIiIgqTW4OkZycDH19/QLLleqRbIGBgZg1axbc3NxgYmICiURS6kCJiIiIiCpbqZLitWvXIiQkBP379y/reIiIiIiIKlypkuLMzEw0b968rGMhKpJ9XeNCP/ogIiIiKo1S3Wg3ZMgQbN68uaxjISIiIiKqFKWaKX7z5g1+/fVXHD16FE5OTnm+mGHx4sVlEhwRERERUUUoVVJ85coVuLi4AACuXbumdI433RERERHRp6ZUSfHx48fLOg6iYnl4+ypSdXUrO4yPRq16zpUdAhER0WehVGuKiYiIiIg+J6WaKW7dunWhyySOHTtW6oCIiIiIiCpaqWaKXVxc4OzsLG4ODg7IzMzEpUuX4OjoWNYxUhkICQlB1apVP7u+iIiIiMpCqb/mOT8BAQFIS0vDokWLyqpJKgZfX19s2LAB8+bNw48//ige37NnD7p16wZBEPD69WukpqaiRo0a5R5PefSV+xWNsRdOQo9rikVcU0xERFS44n7Nc5muKe7Xrx9+//33smySiklLSwsLFizAixcv8j0vk8kqJCHOysqqsL6IiIiIykqZJsVnzpyBlpZWWTZJxdSuXTsYGxtj3rx5+Z7Pb0nD7NmzUaNGDejp6WHIkCH48ccfxUft5QoODoa9vT20tLRQr149rF69WjyXkJAAiUSC7du3w9PTE1paWvjzzz/z9BUfH48uXbqgZs2a0NXVRePGjXH06NGyunQiIiKiD1aqG+26d++utC8IApKSkhAVFYXp06eXSWBUMurq6pg7dy6+/fZb+Pv7w8zMrNDymzZtwpw5c7B69Wp4eHhg69atCAoKQp06dcQy69evx8yZM7Fy5Uo0bNgQ0dHRGDp0KHR0dDBw4ECx3OTJkxEUFITg4GBIpVIcPnxYqa+0tDT4+Phg9uzZ0NLSwoYNG9C5c2fcunULtWvXzje+jIwMZGRkiPspKSmlGRYiIiKiYilVUiyXy5X21dTUYGdnh1mzZqFDhw5lEhiVXLdu3eDi4oKZM2fit99+K7TsihUrMHjwYHz33XcAgBkzZuDw4cNIS0sTy/z8888ICgoS/wiqU6cObty4gXXr1iklxWPGjMnzh9K7cm/IzDV79mzs3r0be/fuxahRo/KtM2/ePAQGBhZ90URERERloFRJcXBwcFnHQWVkwYIFaNOmDcaPH19ouVu3bmHEiBFKx5o0aSI+Tu/Jkyd48OABBg8ejKFDh4plsrOz8/xR5ObmVmhf6enpCAwMRGhoKB4+fIjs7Gy8fv0aiYmJBdaZMmUKxo0bJ+6npKTA3Ny80H6IiIiISqtUSXGuixcvIjY2FhKJBA4ODmjYsGFZxUWl1LJlS3h5eeGnn36Cr69voWXff9b0uw8iUSgUAN4uoWjatKlSOXV1daV9HR2dQvuZOHEiDh06hEWLFsHa2hoymQw9evRAZmZmgXWkUimkUmmh7RIRERGVlVIlxY8fP8Y333yDiIgIVK1aFYIgIDk5Ga1bt8bWrVthZGRU1nFSCcyfPx8uLi6wtbUtsIydnR3Onz+P/v37i8eioqLEn2vWrIlatWrh7t276Nu37wfFExkZCV9fX3Tr1g3A2zXGCQkJH9QmERERUVkq1dMnRo8ejZSUFFy/fh3Pnz/HixcvcO3aNaSkpMDf37+sY6QScnR0RN++fbFixYoCy4wePRq//fYbNmzYgLi4OMyePRtXrlxRmj0OCAjAvHnzsGzZMty+fRtXr15FcHAwFi9eXKJ4rK2tsWvXLsTExODy5cv49ttvxZloIiIioo9BqZLisLAwrFmzBvb29uIxBwcHrFq1CgcPHiyz4Kj0fv75ZxT2vSx9+/bFlClTMGHCBLi6uuLevXvw9fVVeqTekCFD8L///Q8hISFwdHREq1atEBISovSEiuJYsmQJqlWrhubNm6Nz587w8vKCq6trqa+NiIiIqKyV6hvt9PT0EBkZmeeZttHR0WjVqhUfn/WJat++PYyNjbFx48bKDiUPfqNd/viNdkRERIUr12+0a9OmDX744Qc8fPhQPPbvv/9i7NixaNu2bWmapAr26tUrLF68GNevX8fNmzcxc+ZMHD16VOlRa0RERESqolRJ8cqVK5GamgpLS0vUrVsX1tbWqFOnDlJTUwtdx0ofD4lEggMHDqBFixZo1KgR9u3bh507d6Jdu3aVHRoRERFRhSvV8olcR44cwc2bNyEIAhwcHJhQUbkp7kcfRERERO8ql+UTx44dg4ODg7hmuH379hg9ejT8/f3RuHFj1K9fH5GRkR8WORERERFRBStRUrx06VIMHTo03yxbLpdj2LBhJX5cFxERERFRZStRUnz58mV4e3sXeL5Dhw64ePHiBwdFRERERFSRSvSNdv/99x80NDQKbqxKFTx58uSDgyIqyPNzB5Glo13ZYXz0DJp3ruwQiIiIPiklmimuVasWrl69WuD5K1euwMTE5IODIiIiIiKqSCVKin18fDBjxgy8efMmz7nXr19j5syZ6NSpU5kFR0RERERUEUqUFE+bNg3Pnz+Hra0tfvnlF/zf//0f9u7diwULFsDOzg7Pnz/H1KlTyytW+oSFhISgatWq4n5AQECeb0QkIiIiqiwlSopr1qyJ06dPo0GDBpgyZQq6deuGrl274qeffkKDBg1w6tQp1KxZs7xipTLg6+sLiUQibgYGBvD29saVK1fKtd/evXvj9u3b5doHERERUWmV6EY7ALCwsMCBAwfw4sUL3LlzB4IgwMbGBtWqVSuP+KgceHt7Izg4GADw6NEjTJs2DZ06dUJiYmK+5bOysgq9wbI4ZDIZZDLZB7VBREREVF5K9TXPAFCtWjU0btwYTZo0YUL8iZFKpTA2NoaxsTFcXFwwefJkPHjwAE+ePEFCQgIkEgm2b98OT09PaGlp4c8//8SzZ8/Qp08fmJmZQVtbG46OjtiyZYvYZm699zdPT08AeZdPEBEREX1MSjxTTJ+XtLQ0bNq0CdbW1jAwMEB6ejoAYPLkyQgKCkJwcDCkUinevHmDRo0aYfLkydDX18f+/fvRv39/WFlZoWnTpjA3N0dSUpLY7qNHj9CuXTu0bNmyVHFlZGQgIyND3M/9FkUiIiKi8sCkWAWFhoZCV1cXAJCeng4TExOEhoZCTe3/fXAwZswYdO/eXanehAkTxJ9Hjx6NsLAw7NixA02bNoW6ujqMjY0BAG/evEHXrl3h7u6OgICAUsU4b948BAYGlqouERERUUmVevkEfbpat26NmJgYxMTE4Ny5c+jQoQM6duyI+/fvi2Xc3NyU6uTk5GDOnDlwcnKCgYEBdHV1cfjw4XzXIQ8ePBipqanYvHmzUqJdElOmTEFycrK4PXjwoFTtEBERERUHZ4pVkI6ODqytrcX9Ro0aQS6XY/369RgyZIhY5l1BQUFYsmQJli5dCkdHR+jo6GDMmDHIzMxUKjd79myEhYXh/Pnz0NPTK3WMUqkUUqm01PWJiIiISoJJMUEikUBNTQ2vX78usExkZCS6dOmCfv36AQAUCgXi4uJgb28vltm5cydmzZqFgwcPom7duuUeNxEREVFZYVKsgjIyMvDo0SMAwIsXL7By5UqkpaWhc+fOBdaxtrbGzp07cfr0aVSrVg2LFy/Go0ePxKT42rVrGDBgACZPnoz69euL7WtqaqJ69erlf1FEREREH4BrilVQWFgYTExMYGJigqZNm+LChQvYsWOH+Pi0/EyfPh2urq7w8vKCp6cnjI2N0bVrV/F8VFQUXr16hdmzZ4ttm5iY5LlZj4iIiOhjJBEEQajsIIiKkpKSArlcjnuHt0JPR7uyw/noGTQveNafiIhIleTmEMnJydDX1y+wHGeKiYiIiEjlMSkmIiIiIpXHG+3ok1K9acdCP/ogIiIiKg3OFBMRERGRymNSTEREREQqj0kxEREREak8rimmT8p/O9filbZWZYdRrox7+1d2CERERCqHM8VEREREpPKYFBMRERGRymNS/JmxtLTE0qVLP6iNkJAQVK1atUziAcomJiIiIqLyxKS4DPj6+kIikYibgYEBvL29ceXKlcoOjYiIiIiKgUlxGfH29kZSUhKSkpIQHh6OKlWqoFOnTpUdFhEREREVA5PiMiKVSmFsbAxjY2O4uLhg8uTJePDgAZ48eQIAmDx5MmxtbaGtrQ0rKytMnz4dWVlZYv2AgAC4uLhg48aNsLS0hFwuxzfffIPU1FSxTGpqKvr27QsdHR2YmJhgyZIl8PT0xJgxYwqMa/HixXB0dISOjg7Mzc0xYsQIpKWlKZUJCQlB7dq1oa2tjW7duuHZs2d52tm3bx8aNWoELS0tWFlZITAwENnZ2Urx165dG1KpFKampvD3V36CwqtXrzBo0CDo6emhdu3a+PXXX0s0vkRERETliUlxOUhLS8OmTZtgbW0NAwMDAICenh5CQkJw48YNLFu2DOvXr8eSJUuU6sXHx2PPnj0IDQ1FaGgoTpw4gfnz54vnx40bh1OnTmHv3r04cuQIIiMjcenSpUJjUVNTw/Lly3Ht2jVs2LABx44dw6RJk8Tz586dw6BBgzBixAjExMSgdevWmD17tlIbhw4dQr9+/eDv748bN25g3bp1CAkJwZw5cwAAf/31F5YsWYJ169YhLi4Oe/bsgaOjo1IbQUFBcHNzQ3R0NEaMGIHhw4fj5s2bBcadkZGBlJQUpY2IiIiovEgEQRAqO4hPna+vL/78809oab19fm56ejpMTEwQGhoKV1fXfOssXLgQ27ZtQ1RUFIC3M60LFy7Eo0ePoKenBwCYNGkS/v77b5w9exapqakwMDDA5s2b0aNHDwBAcnIyTE1NMXToUPFGNktLS4wZM6bA2eMdO3Zg+PDhePr0KQDg22+/xYsXL3Dw4EGxzDfffIOwsDC8fPkSANCyZUt07NgRU6ZMEcv8+eefmDRpEh4+fIjFixdj3bp1uHbtGjQ0NPL0aWlpiRYtWmDjxo0AAEEQYGxsjMDAQPj5+eUbZ0BAAAIDA/Mcv/37AujxOcVERERUTCkpKZDL5UhOToa+vn6B5ThTXEZat26NmJgYxMTE4Ny5c+jQoQM6duyI+/fvA3g7m/rFF1/A2NgYurq6mD59OhITE5XasLS0FBNiADAxMcHjx48BAHfv3kVWVhaaNGkinpfL5bCzsys0ruPHj6N9+/aoVasW9PT0MGDAADx79gzp6ekAgNjYWLi7uyvVeX//4sWLmDVrFnR1dcVt6NChSEpKwqtXr9CzZ0+8fv0aVlZWGDp0KHbv3q20tAIAnJycxJ8lEgmMjY3Fa8vPlClTkJycLG4PHjwo9DqJiIiIPgST4jKio6MDa2trWFtbo0mTJvjtt9+Qnp6O9evX4+zZs/jmm2/QsWNHhIaGIjo6GlOnTkVmZqZSG+/PskokEigUCgBvZ1dzj72rsIn++/fvw8fHBw0aNMDOnTtx8eJFrFq1CgDE9czF+aBAoVAgMDBQTPpjYmJw9epVxMXFQUtLC+bm5rh16xZWrVoFmUyGESNGoGXLlkprpgu7tvxIpVLo6+srbURERETlhV/zXE4kEgnU1NTw+vVrnDp1ChYWFpg6dap4PncGubjq1q0LDQ0NnD9/Hubm5gDefhwQFxeHVq1a5VsnKioK2dnZCAoKgpra279/tm/frlTGwcEBZ8+eVTr2/r6rqytu3boFa2vrAuOTyWT46quv8NVXX2HkyJGoV68erl69WuDyESIiIqKPCZPiMpKRkYFHjx4BAF68eIGVK1ciLS0NnTt3RnJyMhITE7F161Y0btwY+/fvx+7du0vUvp6eHgYOHIiJEyeievXqqFGjBmbOnAk1NbU8s8e56tati+zsbKxYsQKdO3fGqVOnsHbtWqUy/v7+aN68OX755Rd07doVhw8fRlhYmFKZGTNmoFOnTjA3N0fPnj2hpqaGK1eu4OrVq5g9ezZCQkKQk5ODpk2bQltbGxs3boRMJoOFhUWJrpGIiIiosnD5RBkJCwuDiYkJTExM0LRpU1y4cAE7duyAp6cnunTpgrFjx2LUqFFwcXHB6dOnMX369BL3sXjxYri7u6NTp05o164dPDw8YG9vL97g9z4XFxcsXrwYCxYsQIMGDbBp0ybMmzdPqUyzZs3wv//9DytWrICLiwsOHz6MadOmKZXx8vJCaGgojhw5gsaNG6NZs2ZYvHixmPRWrVoV69evh4eHB5ycnBAeHo59+/aJT94gIiIi+tjx6ROfsPT0dNSqVQtBQUEYPHhwZYdTrnLvHOXTJ4iIiKgkivv0CS6f+IRER0fj5s2baNKkCZKTkzFr1iwAQJcuXSo5MiIiIqJPG5PiT8yiRYtw69YtaGpqolGjRoiMjIShoWFlh0VERET0SePyCfokFPejDyIiIqJ38cs7iIiIiIiKiUkxEREREak8JsVEREREpPJ4ox19Uu4E/QRdLWllh1EmbKcEVXYIRERE9P/jTDERERERqTwmxURERESk8lQ6Kfb19UXXrl0rO4wSi4iIgEQiwcuXLystBolEgj179lRa/0RERERlqVKTYl9fX0gkEkgkElSpUgW1a9fG8OHD8eLFiwrpf9myZQgJCSn3fiwtLcXrzN3MzMzKvd+yEBAQABcXlzzHk5KS0LFjx4oPiIiIiKgcVPqNdt7e3ggODkZ2djZu3LiBQYMG4eXLl9iyZUu59y2Xy8u9j1yzZs3C0KFDxX11dfUK6zs/mZmZ0NTULHV9Y2PjMoyGiIiIqHJV+vIJqVQKY2NjmJmZoUOHDujduzcOHz4snvf09MSYMWOU6nTt2hW+vr7i/urVq2FjYwMtLS3UrFkTPXr0EM/99ddfcHR0hEwmg4GBAdq1a4f09HQAeZdPhIWF4YsvvkDVqlVhYGCATp06IT4+XjyfkJAAiUSCXbt2oXXr1tDW1oazszPOnDlT5HXq6enB2NhY3IyMjAAAgiDgl19+gZWVFWQyGZydnfHXX38p1T1w4ABsbW0hk8nQunVrJCQk5Gn/9OnTaNmyJWQyGczNzeHv7y9eJ/B2tnr27Nnw9fWFXC4XE/TJkyfD1tYW2trasLKywvTp05GVlQUACAkJQWBgIC5fvizOcOfOrL+/fOLq1ato06aNOM7ff/890tLSxPO5Y71o0SKYmJjAwMAAI0eOFPsiIiIiqkyVnhS/6+7duwgLC4OGhkax60RFRcHf3x+zZs3CrVu3EBYWhpYtWwJ4+xF/nz59MGjQIMTGxiIiIgLdu3dHQd9snZ6ejnHjxuHChQsIDw+HmpoaunXrBoVCoVRu6tSpmDBhAmJiYmBra4s+ffogOzu7VNc8bdo0BAcHY82aNbh+/TrGjh2Lfv364cSJEwCABw8eoHv37vDx8UFMTAyGDBmCH3/8UamNq1evwsvLC927d8eVK1ewbds2nDx5EqNGjVIqt3DhQjRo0AAXL17E9OnTAbxN1kNCQnDjxg0sW7YM69evx5IlSwAAvXv3xvjx41G/fn0kJSUhKSkJvXv3znMNr169gre3N6pVq4YLFy5gx44dOHr0aJ7+jx8/jvj4eBw/fhwbNmxASEhIgctXMjIykJKSorQRERERlZdKXz4RGhoKXV1d5OTk4M2bNwCAxYsXF7t+YmIidHR00KlTJ+jp6cHCwgINGzYE8DYpzs7ORvfu3WFhYQEAcHR0LLCtr7/+Wmn/t99+Q40aNXDjxg00aNBAPD5hwgR8+eWXAIDAwEDUr18fd+7cQb169Qpse/LkyZg2bZq4P3fuXAwePBiLFy/GsWPH4O7uDgCwsrLCyZMnsW7dOrRq1Qpr1qyBlZUVlixZAolEAjs7O1y9ehULFiwQ21q4cCG+/fZbcUbdxsYGy5cvF+traWkBANq0aYMJEyYoxfVuTJaWlhg/fjy2bduGSZMmQSaTQVdXF1WqVCl0ucSmTZvw+vVr/PHHH9DR0QEArFy5Ep07d8aCBQtQs2ZNAEC1atWwcuVKqKuro169evjyyy8RHh6utKwk17x58xAYGFhgn0RERERlqdKT4tatW2PNmjV49eoV/ve//+H27dsYPXp0seu3b98eFhYWsLKygre3N7y9vdGtWzdxaUPbtm3h6OgILy8vdOjQAT169EC1atXybSs+Ph7Tp0/H2bNn8fTpU3GGODExUSkpdnJyEn82MTEBADx+/LjQpHjixIlKSz4MDQ1x48YNvHnzBu3bt1cqm5mZKSb2sbGxaNasGSQSiXg+N4HOdfHiRdy5cwebNm0SjwmCAIVCgXv37sHe3h4A4Obmlieuv/76C0uXLsWdO3eQlpaG7Oxs6OvrF3gd+YmNjYWzs7OYEAOAh4cHFAoFbt26JSbF9evXV1pLbWJigqtXr+bb5pQpUzBu3DhxPyUlBebm5iWKi4iIiKi4Kn35hI6ODqytreHk5ITly5cjIyNDaYZQTU0tz3KHd9eh6unp4dKlS9iyZQtMTEwwY8YMODs74+XLl1BXV8eRI0dw8OBBODg4YMWKFbCzs8O9e/fyjaVz58549uwZ1q9fj3PnzuHcuXMA3iap73p3eUdusvr+Eov3GRoawtraWtyqVq0q1tm/fz9iYmLE7caNG+K64oKWerxLoVBg2LBhSm1cvnwZcXFxqFu3rlju3aQVAM6ePYtvvvkGHTt2RGhoKKKjozF16tQ811sUQRCUkvZ3vXv8/WUxEomkwHGTSqXQ19dX2oiIiIjKS6Unxe+bOXMmFi1ahIcPHwIAjIyMkJSUJJ7PycnBtWvXlOpUqVIF7dq1wy+//IIrV64gISEBx44dA/A28fLw8EBgYCCio6OhqamJ3bt35+n32bNniI2NxbRp09C2bVvY29uX+6PhHBwcIJVKkZiYqJQwW1tbi7OiDg4OOHv2rFK99/ddXV1x/fr1PG1YW1sX+oSJU6dOwcLCAlOnToWbmxtsbGxw//59pTKamprIyckp8jpiYmKUbuw7deoU1NTUYGtrW6yxICIiIqpMH11S7Onpifr162Pu3LkA3q6D3b9/P/bv34+bN29ixIgRSl9aERoaiuXLlyMmJgb379/HH3/8AYVCATs7O5w7dw5z585FVFQUEhMTsWvXLjx58kRcTvCuatWqwcDAAL/++ivu3LmDY8eOKX18Xx709PQwYcIEjB07Fhs2bEB8fDyio6OxatUqbNiwAQDg5+eH+Ph4jBs3Drdu3cLmzZvz3Jw2efJknDlzBiNHjkRMTAzi4uKwd+/eIpehWFtbIzExEVu3bkV8fDyWL1+e5w8GS0tL3Lt3DzExMXj69CkyMjLytNO3b19oaWlh4MCBuHbtGo4fP47Ro0ejf//+4tIJIiIioo/ZR5cUA8C4ceOwfv16PHjwAIMGDcLAgQMxYMAAtGrVCnXq1EHr1q3FslWrVsWuXbvQpk0b2NvbY+3atdiyZQvq168PfX19/P333/Dx8YGtrS2mTZuGoKCgfL90Qk1NDVu3bsXFixfRoEEDjB07FgsXLiz3a/35558xY8YMzJs3D/b29vDy8sK+fftQp04dAEDt2rWxc+dO7Nu3D87Ozli7dq34B0MuJycnnDhxAnFxcWjRogUaNmyI6dOni+udC9KlSxeMHTsWo0aNgouLC06fPi0+lSLX119/DW9vb7Ru3RpGRkb5Pj9aW1sbhw4dwvPnz9G4cWP06NEDbdu2xcqVKz9wdIiIiIgqhkQozqJVokqWkpICuVyOizNGQldLWtnhlAnbKUGVHQIREdFnLzeHSE5OLvQepY9yppiIiIiIqCIxKSYiIiIilVfpzykmKgnr8XP5eDYiIiIqc5wpJiIiIiKVx6SYiIiIiFQek2IiIiIiUnlcU0yflFPf94eOpkbRBT8CLf/4q7JDICIiomLiTDERERERqTwmxURERESk8pgUU4lFRERAIpHg5cuXlR0KERERUZlgUvyZ8PX1hUQigZ+fX55zI0aMgEQiga+vb5n01bx5cyQlJUEul5dJe0RERESVjUnxZ8Tc3Bxbt27F69evxWNv3rzBli1bULt27TLrR1NTE8bGxpBIJGXWJhEREVFlYlL8GXF1dUXt2rWxa9cu8diuXbtgbm6Ohg0biscEQcAvv/wCKysryGQyODs746+//hLPtWvXDt7e3hAEAQDw8uVL1K5dG1OnTgWQ//KJU6dOoVWrVtDW1ka1atXg5eWFFy9eAAAyMjLg7++PGjVqQEtLC1988QUuXLhQ3sNBREREVGxMij8z3333HYKDg8X933//HYMGDVIqM23aNAQHB2PNmjW4fv06xo4di379+uHEiROQSCTYsGEDzp8/j+XLlwMA/Pz8ULNmTQQEBOTbZ0xMDNq2bYv69evjzJkzOHnyJDp37oycnBwAwKRJk7Bz505s2LABly5dgrW1Nby8vPD8+fMCryMjIwMpKSlKGxEREVF54XOKPzP9+/fHlClTkJCQAIlEglOnTmHr1q2IiIgAAKSnp2Px4sU4duwY3N3dAQBWVlY4efIk1q1bh1atWqFWrVpYt24d+vfvj//++w/79u1DdHQ0NDTyfz7wL7/8Ajc3N6xevVo8Vr9+fbG/NWvWICQkBB07dgQArF+/HkeOHMFvv/2GiRMn5tvmvHnzEBgYWFbDQkRERFQoJsWfGUNDQ3z55ZfYsGEDBEHAl19+CUNDQ/H8jRs38ObNG7Rv316pXmZmptISi549e2L37t2YN28e1qxZA1tb2wL7jImJQc+ePfM9Fx8fj6ysLHh4eIjHNDQ00KRJE8TGxhbY5pQpUzBu3DhxPyUlBebm5gVfOBEREdEHYFL8GRo0aBBGjRoFAFi1apXSOYVCAQDYv38/atWqpXROKpWKP7969QoXL16Euro64uLiCu1PJpMVeC53XfL7N+UJglDojXpSqVQpHiIiIqLyxDXFnyFvb29kZmYiMzMTXl5eSuccHBwglUqRmJgIa2trpe3dmdjx48dDTU0NBw8exPLly3Hs2LEC+3NyckJ4eHi+56ytraGpqYmTJ0+Kx7KyshAVFQV7e/sPvFIiIiKissGZ4s+Qurq6uDRBXV1d6Zyenh4mTJiAsWPHQqFQ4IsvvkBKSgpOnz4NXV1dDBw4EPv378fvv/+OM2fOwNXVFT/++CMGDhyIK1euoFq1ann6mzJlChwdHTFixAj4+flBU1MTx48fR8+ePWFoaIjhw4dj4sSJqF69OmrXro1ffvkFr169wuDBgytkPIiIiIiKwqT4M6Wvr1/guZ9//hk1atTAvHnzcPfuXVStWhWurq746aef8OTJEwwePBgBAQFwdXUFAMycOROHDx+Gn58ftm3blqc9W1tbHD58GD/99BOaNGkCmUyGpk2bok+fPgCA+fPnQ6FQoH///khNTYWbmxsOHTqUb4JNREREVBkkQu6iT6KPWEpKCuRyOQ70/go6mvk/BeNj0/KPvyo7BCIiIpWXm0MkJycXOmnINcVEREREpPKYFBMRERGRyuOaYvqkePy6sdCPPoiIiIhKg0kxfRJyl77z656JiIioJHJzh6Juo2NSTJ+EZ8+eAQC/1Y6IiIhKJTU1FXK5vMDzTIrpk1C9enUAQGJiYqEvaFWW+1XYDx484BKTfHB8isYxKhzHp2gco8JxfIpWHmMkCAJSU1NhampaaDkmxfRJUFN7e0+oXC7nG0kR9PX1OUaF4PgUjWNUOI5P0ThGheP4FK2sx6g4E2p8+gQRERERqTwmxURERESk8pgU0ydBKpVi5syZkEqllR3KR4tjVDiOT9E4RoXj+BSNY1Q4jk/RKnOM+DXPRERERKTyOFNMRERERCqPSTERERERqTwmxURERESk8pgUExEREZHKY1JMH43Vq1ejTp060NLSQqNGjRAZGVlo+RMnTqBRo0bQ0tKClZUV1q5dW0GRVo6SjM+uXbvQvn17GBkZQV9fH+7u7jh06FAFRls5SvoaynXq1ClUqVIFLi4u5RvgR6CkY5SRkYGpU6fCwsICUqkUdevWxe+//15B0Va8ko7Ppk2b4OzsDG1tbZiYmOC7774Tv5b+c/P333+jc+fOMDU1hUQiwZ49e4qso2rv0yUdI1V7ry7NayhXRbxPMymmj8K2bdswZswYTJ06FdHR0WjRogU6duyIxMTEfMvfu3cPPj4+aNGiBaKjo/HTTz/B398fO3furODIK0ZJx+fvv/9G+/btceDAAVy8eBGtW7dG586dER0dXcGRV5ySjlGu5ORkDBgwAG3btq2gSCtPacaoV69eCA8Px2+//YZbt25hy5YtqFevXgVGXXFKOj4nT57EgAEDMHjwYFy/fh07duzAhQsXMGTIkAqOvGKkp6fD2dkZK1euLFZ5VXufBko+Rqr2Xl3S8clVYe/TAtFHoEmTJoKfn5/SsXr16gk//vhjvuUnTZok1KtXT+nYsGHDhGbNmpVbjJWppOOTHwcHByEwMLCsQ/tolHaMevfuLUybNk2YOXOm4OzsXI4RVr6SjtHBgwcFuVwuPHv2rCLCq3QlHZ+FCxcKVlZWSseWL18umJmZlVuMHwsAwu7duwsto2rv0+8rzhjl53N/r85VkvGpqPdpzhRTpcvMzMTFixfRoUMHpeMdOnTA6dOn861z5syZPOW9vLwQFRWFrKyscou1MpRmfN6nUCiQmpqK6tWrl0eIla60YxQcHIz4+HjMnDmzvEOsdKUZo71798LNzQ2//PILatWqBVtbW0yYMAGvX7+uiJArVGnGp3nz5vjnn39w4MABCIKA//77D3/99Re+/PLLigj5o6dK79Nl5XN/ry6NinyfrlLuPRAV4enTp8jJyUHNmjWVjtesWROPHj3Kt86jR4/yLZ+dnY2nT5/CxMSk3OKtaKUZn/cFBQUhPT0dvXr1Ko8QK11pxiguLg4//vgjIiMjUaXK5/9WWJoxunv3Lk6ePAktLS3s3r0bT58+xYgRI/D8+fPPbl1xacanefPm2LRpE3r37o03b94gOzsbX331FVasWFERIX/0VOl9uqx87u/VJVXR79OcKaaPhkQiUdoXBCHPsaLK53f8c1HS8cm1ZcsWBAQEYNu2bahRo0Z5hfdRKO4Y5eTk4Ntvv0VgYCBsbW0rKryPQkleRwqFAhKJBJs2bUKTJk3g4+ODxYsXIyQk5LOcLQZKNj43btyAv78/ZsyYgYsXLyIsLAz37t2Dn59fRYT6SVC19+kPoUrv1cVRGe/Tn//0CH30DA0Noa6unmc25vHjx3lmGXIZGxvnW75KlSowMDAot1grQ2nGJ9e2bdswePBg7NixA+3atSvPMCtVSccoNTUVUVFRiI6OxqhRowC8TQAFQUCVKlVw+PBhtGnTpkJiryileR2ZmJigVq1akMvl4jF7e3sIgoB//vkHNjY25RpzRSrN+MybNw8eHh6YOHEiAMDJyQk6Ojpo0aIFZs+erfIzoar0Pv2hVOW9uiQq432aM8VU6TQ1NdGoUSMcOXJE6fiRI0fQvHnzfOu4u7vnKX/48GG4ublBQ0Oj3GKtDKUZH+DtrIOvry82b9782a9xLOkY6evr4+rVq4iJiRE3Pz8/2NnZISYmBk2bNq2o0CtMaV5HHh4eePjwIdLS0sRjt2/fhpqaGszMzMo13opWmvF59eoV1NSU/xtVV1cH8P9mRFWZKr1PfwhVeq8uiUp5ny63W/iISmDr1q2ChoaG8Ntvvwk3btwQxowZI+jo6AgJCQmCIAjCjz/+KPTv318sf/fuXUFbW1sYO3ascOPGDeG3334TNDQ0hL/++quyLqFclXR8Nm/eLFSpUkVYtWqVkJSUJG4vX76srEsodyUdo/epwtMnSjpGqampgpmZmdCjRw/h+vXrwokTJwQbGxthyJAhlXUJ5aqk4xMcHCxUqVJFWL16tRAfHy+cPHlScHNzE5o0aVJZl1CuUlNThejoaCE6OloAICxevFiIjo4W7t+/LwgC36cFoeRjpGrv1SUdn/eV9/s0k2L6aKxatUqwsLAQNDU1BVdXV+HEiRPiuYEDBwqtWrVSKh8RESE0bNhQ0NTUFCwtLYU1a9ZUcMQVqyTj06pVKwFAnm3gwIEVH3gFKulr6F2qkBQLQsnHKDY2VmjXrp0gk8kEMzMzYdy4ccKrV68qOOqKU9LxWb58ueDg4CDIZDLBxMRE6Nu3r/DPP/9UcNQV4/jx44W+r/B9uuRjpGrv1aV5Db2rvN+nJYLAz3iIiIiISLVxTTERERERqTwmxURERESk8pgUExEREZHKY1JMRERERCqPSTERERERqTwmxURERESk8pgUExEREZHKY1JMRERERJXm77//RufOnWFqagqJRII9e/aUuI3t27fDxcUF2trasLCwwMKFC0vcBpNiIiIqV5aWlli6dGllh1GkgIAAuLi4fDTtEKmK9PR0ODs7Y+XKlaWqf/DgQfTt2xd+fn64du0aVq9ejcWLF5e4PSbFREQqQiKRFLr5+voWWb80MzhFCQgIEGNQV1eHubk5hgwZgidPnpR5X2UtvzGZMGECwsPDKycgok9Qx44dMXv2bHTv3j3f85mZmZg0aRJq1aoFHR0dNG3aFBEREeL5jRs3omvXrvDz84OVlRW+/PJLTJ48GQsWLEBJvri5yodeCBERfRqSkpLEn7dt24YZM2bg1q1b4jGZTFYZYQEA6tevj6NHjyInJwfR0dEYPHgw/v33Xxw8eLDSYiotXV1d6OrqVnYYRJ+N7777DgkJCdi6dStMTU2xe/dueHt74+rVq7CxsUFGRga0tbWV6shkMvzzzz+4f/8+LC0ti9UPZ4qJiFSEsbGxuMnlckgkEqVjmzdvRt26daGpqQk7Ozts3LhRrJv7n0q3bt0gkUjE/fj4eHTp0gU1a9aErq4uGjdujKNHj5Y4tipVqsDY2Bi1atVCp06d4O/vj8OHD+P169dQKBSYNWsWzMzMIJVK4eLigrCwMLFuQkICJBIJtm7diubNm0NLSwv169dXmkkKCQlB1apVlfrcs2cPJBJJgTFduHAB7du3h6GhIeRyOVq1aoVLly4VOSbvL58obvy7du1C69atoa2tDWdnZ5w5c6bE40j0uYmPj8eWLVuwY8cOtGjRAnXr1sWECRPwxRdfIDg4GADg5eWFXbt2ITw8HAqFArdv3xaXbL07GVAUJsVERITdu3fjhx9+wPjx43Ht2jUMGzYM3333HY4fPw7gbYIIAMHBwUhKShL309LS4OPjg6NHjyI6OhpeXl7o3LkzEhMTPygemUwGhUKB7OxsLFu2DEFBQVi0aBGuXLkCLy8vfPXVV4iLi1OqM3HiRIwfPx7R0dFo3rw5vvrqKzx79qzUMaSmpmLgwIGIjIzE2bNnYWNjAx8fH6SmpgIoeEzeV9z4p06digkTJiAmJga2trbo06cPsrOzSx0/0efg0qVLEAQBtra24qcwurq6OHHiBOLj4wEAQ4cOxahRo9CpUydoamqiWbNm+OabbwAA6urqxe9MICIilRMcHCzI5XJxv3nz5sLQoUOVyvTs2VPw8fER9wEIu3fvLrJtBwcHYcWKFeK+hYWFsGTJkgLLz5w5U3B2dhb3Y2NjBWtra6FJkyaCIAiCqampMGfOHKU6jRs3FkaMGCEIgiDcu3dPACDMnz9fPJ+VlSWYmZkJCxYsyPd6BUEQdu/eLbz73+D7cbwvOztb0NPTE/bt2ycey29M3m+nuPH/73//E89fv35dACDExsYWGA/R5+j9f1Nbt24V1NXVhZs3bwpxcXFKW1JSklLd7Oxs4Z9//hEyMjKEAwcOCACE//77r9h9c6aYiIgQGxsLDw8PpWMeHh6IjY0ttF56ejomTZoEBwcHVK1aFbq6urh582aJZ4qvXr0KXV1dyGQyODg4wNzcHJs2bUJKSgoePnxYrNjc3d3Fn6tUqQI3N7ci4y/M48eP4efnB1tbW8jlcsjlcqSlpZXo2koSv5OTk/iziYmJGAORKmvYsCFycnLw+PFjWFtbK23GxsZKZdXV1VGrVi1oampiy5YtcHd3R40aNYrdF2+0IyIiAMizvlYQhELX3AJvlywcOnQIixYtgrW1NWQyGXr06IHMzMwS9W1nZ4e9e/dCXV0dpqamkEqlAN4mlaWN7d16ampqee5Cz8rKKrSur68vnjx5gqVLl8LCwgJSqRTu7u4lvrZ348iVX/waGhp5yisUihL3RfSpSUtLw507d8T9e/fuISYmBtWrV4etrS369u2LAQMGICgoCA0bNsTTp09x7NgxODo6wsfHB0+fPsVff/0FT09PvHnzBsHBwdixYwdOnDhRojg4U0xERLC3t8fJkyeVjp0+fRr29vbivoaGBnJycpTKREZGwtfXF926dYOjoyOMjY2RkJBQ4v41NTVhbW2NOnXqiAkxAOjr68PU1LTI2ADg7Nmz4s/Z2dm4ePEi6tWrBwAwMjJCamoq0tPTxTIxMTGFxhQZGQl/f3/4+Pigfv36kEqlePr0qVKZ/MbkXSWJn0hVRUVFoWHDhmjYsCEAYNy4cWjYsCFmzJgB4O26/QEDBmD8+PGws7PDV199hXPnzsHc3FxsY8OGDXBzc4OHhweuX7+OiIgINGnSpERxcKaYiIgwceJE9OrVC66urmjbti327duHXbt2KT1JwtLSEuHh4fDw8IBUKkW1atVgbW2NXbt2oXPnzpBIJJg+fXqZz25OnDgRM2fORN26deHi4oLg4GDExMRg06ZNSuVWrVoFGxsb2NvbY8mSJXjx4gUGDRoEAGjatCm0tbXx008/YfTo0Th//jxCQkIK7dfa2hobN26Em5sbUlJSMHHixDyPrctvTEobP5Gq8vT0LPR5whoaGggMDERgYGC+5w0NDcvkaS2cKSYiInTt2hXLli3DwoULUb9+faxbtw7BwcHw9PQUywQFBeHIkSMwNzcXZ3SWLFmCatWqoXnz5ujcuTO8vLzg6upaprH5+/tj/PjxGD9+PBwdHREWFoa9e/fCxsZGqdz8+fOxYMECODs7IzIyEv/3f/8HQ0NDAED16tXx559/4sCBA3B0dMSWLVsQEBBQaL+///47Xrx4gYYNG6J///7w9/fPsz4xvzEpbfxEVLkkQmGpORER0UcuISEBderUQXR0NL9emYhKjTPFRERERKTymBQTERERkcrj8gkiIiIiUnmcKSYiIiIilcekmIiIiIhUHpNiIiIiIlJ5TIqJiIiISOUxKSYiIiIilcekmIiIiIhUHpNiIiIiIlJ5TIqJiIiISOX9f7mstFZh/WPlAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create the bar plot\n",
    "plt.figure(figsize=(15, 6))\n",
    "plt.subplot(2,2,1)\n",
    "sns.barplot(x=\"2022\", y=\"Country Name\", data=total_top_ten_countries, palette=\"coolwarm\")\n",
    "plt.title(\"Top Ten Countries of Total Population (2022)\",fontsize=10)\n",
    "plt.xlabel(\"Total Population\",fontsize=10)\n",
    "plt.ylabel(\"Country\",fontsize=10)\n",
    "plt.show()\n",
    "\n",
    "plt.figure(figsize=(15, 6))\n",
    "plt.subplot(2,2,2)\n",
    "sns.barplot(x=\"2016\", y=\"Country Name\", data=total_top_ten_countries, palette=\"coolwarm\")\n",
    "plt.title(\"Top Ten Countries with Total Population (2016)\",fontsize=10)\n",
    "plt.xlabel(\"Total Population\",fontsize=10)\n",
    "plt.ylabel(\"Country\",fontsize=10)\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e59a1596",
   "metadata": {},
   "source": [
    "## Top ten countries of total population in year 2010 and 2001"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "id": "d4de828c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create the bar plot\n",
    "plt.figure(figsize=(15, 6))\n",
    "plt.subplot(2,2,1)\n",
    "sns.barplot(x=\"2010\", y=\"Country Name\", data=total_top_ten_countries, palette=\"coolwarm\")\n",
    "plt.title(\"Top Ten Countries of Total Population (2010)\",fontsize=10)\n",
    "plt.xlabel(\"Total Population\",fontsize=10)\n",
    "plt.ylabel(\"Country\",fontsize=10)\n",
    "plt.show()\n",
    "\n",
    "plt.figure(figsize=(15, 6))\n",
    "plt.subplot(2,2,2)\n",
    "sns.barplot(x=\"2001\", y=\"Country Name\", data=total_top_ten_countries, palette=\"coolwarm\")\n",
    "plt.title(\"Top Ten Countries with Total Population (2001)\",fontsize=10)\n",
    "plt.xlabel(\"Total Population\",fontsize=10)\n",
    "plt.ylabel(\"Country\",fontsize=10)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f00d2abb",
   "metadata": {},
   "source": [
    "## Extraction of bottom-10 countries with respect to total population"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "id": "7ce6bd26",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bottom ten countries of total population\n",
      "\n",
      "                 Country Name\n",
      "201                    Tuvalu\n",
      "137                     Nauru\n",
      "150                     Palau\n",
      "27     British Virgin Islands\n",
      "183  St. Martin (French part)\n",
      "75                  Gibraltar\n",
      "164                San Marino\n",
      "130                    Monaco\n",
      "114             Liechtenstein\n",
      "124          Marshall Islands\n"
     ]
    }
   ],
   "source": [
    "# Sort data based on the total population for 2022\n",
    "total_population_sorted1 = total_population_data.sort_values(by=\"2022\", ascending=True)\n",
    "\n",
    "# Get the bottom ten countries with the highest total population for 2022\n",
    "total_bottom_ten_countries = total_population_sorted1.head(10)\n",
    "print(\"Bottom ten countries of total population\\n\")\n",
    "print(total_bottom_ten_countries[['Country Name']] )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c8f83e5f",
   "metadata": {},
   "source": [
    "## Bottom ten countries of total population in year 2022 and 2016"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "id": "87f11e72",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create the bar plot\n",
    "plt.figure(figsize=(15, 6))\n",
    "plt.subplot(2,2,1)\n",
    "sns.barplot(x=\"2022\", y=\"Country Name\", data=total_bottom_ten_countries, palette=\"coolwarm\")\n",
    "plt.title(\"Top Ten Countries of Total Population (2022)\",fontsize=10)\n",
    "plt.xlabel(\"Total Population\",fontsize=10)\n",
    "plt.ylabel(\"Country\",fontsize=10)\n",
    "plt.show()\n",
    "\n",
    "plt.figure(figsize=(15, 6))\n",
    "plt.subplot(2,2,2)\n",
    "sns.barplot(x=\"2016\", y=\"Country Name\", data=total_bottom_ten_countries, palette=\"coolwarm\")\n",
    "plt.title(\"Top Ten Countries with Total Population (2016)\",fontsize=10)\n",
    "plt.xlabel(\"Total Population\",fontsize=10)\n",
    "plt.ylabel(\"Country\",fontsize=10)\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a7e1fb4d",
   "metadata": {},
   "source": [
    "## Bottom ten countries of total population in year 2010 and 2001"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "id": "d525300d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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4cuSI9IKvtbW1NO52dnbIzs5GVFQU7t27h8ePH6N+/frQ0dHBypUrcf36dURGRmL+/PnVjud5Fe178c/EuXPnEBMTg/Hjx+PDDz+EhYUFgMr/TDRq1AgFBQVS3zZs2IC1a9eq1CltTKoaf2WZm5vD3d1d5ZfwgoICvP/++zh9+jQ2bdqEwsJC3L17F3fv3pVm0JVKJYYPH44pU6YgKioKZ8+exaBBg+Di4oIuXbpIbaWmpiI+Ph6pqakoLCyU/rqTnZ0NAOjWrRucnJwwePBgnD17FlFRUZg6dSpGjhypMhN/4sQJyOXyEkvk6A2lhnXqRERqUdWtDVetWiW6du0q5HK5aNCggdi8eXOVn7dnzx7h6ekp9PT0hJGRkWjTpo347rvvVJ63Y8cOlXuUSqUICwsr91mJiYliyJAhwsrKSujo6IgGDRqIAQMGqLzY+bKtDfPy8sTHH38s6tSpI+rWrSsWL15coZf1XF1dpe3phBDi+++/F7a2tkJDQ6PE1oYverG9rKwsMW7cOGFlZSW0tbWFra2t8PPzE6mpqSI3N1d89NFHwtbWVujo6AgrKysRGBgonjx5Uua4vGx7vOq8wCnE/9/aUKlUCj09PeHt7S1tbVhszJgxwtTUVGUbv59//lnY2dkJuVwu2rVrJyIjI1VefK3q1oaV6Xvx1oCrV68WVlZWQldXV/Tt21fcv39fqlOVn4lly5YJS0tLaTx++umnEn0pbUyqurXh85YvXy5tm1mWtWvXirfeeks6L37puLTj0KFDUr0nT56IwMBAUadOHaGnpyd69Oih8oKpEM9+zl/Wzo0bN0T37t2Fnp6eqFOnjggMDCzx0vKoUaPE6NGjy+0HvTlkQpSx6I2IiCCTybBjxw707t1b3aEQ1aiQkBDs3Lmzwp+W+qZ4+vQpmjRpgi1btryWM89///03mjZtitOnT8Pe3l7d4dArwGUqRERE9K+hq6uLn376Cffu3VN3KKVKTk7G6tWrmYj/i2ipOwAiIiKiV+mdd95RdwhlatOmDdq0aaPuMOgV4jIVIiIiIiI14TIVIiIiIiI1YTJORERERKQmTMaJiIiIiNSEL3ASlaOoqAh37tyBoaFhjXx8NhEREf07CCHw6NEjWFlZlfspy0zGicpx584d2NraqjsMIiIi+oe6efMmbGxsyrzOZJyoHIaGhgCe/UN6/qOKiYiIiMqTlZUFW1tbKZcoC5NxonIUL00JXpkCHblCzdEQAKz5zE3dIRAREVXYy5a58gVOIiIiIiI1YTJORERERKQmTMbpjeLv74/evXurOwwiIiKiCmEyTjVGJpOVe/j7+6s7RCIiIqLXCl/gpBqTlpYmff3LL7/g008/RWJiolSmp6enjrCIiIiIXlucGacaY2FhIR1KpRIymUw637NnDxo0aKBSf+fOndIbxomJiZDJZLh8+bJKnWXLlsHOzg5CCBQWFmL48OGwt7eHnp4emjRpgq+++qrcmOzs7LBixQqVMjc3N4SEhFS7v0RERETVxWScXgtNmjRBq1atsGnTJpXyn3/+GQMHDoRMJkNRURFsbGywdetWXLp0CZ9++ilmzZqFrVu31lgcubm5yMrKUjmIiIiIaguTcXpt+Pn54eeff5bOr1y5gri4OAwaNAgAoK2tjXnz5qF169awt7eHn58f/P39azQZX7x4MZRKpXTw0zeJiIioNjEZp9fGRx99hBs3buDEiRMAgE2bNsHNzQ1OTk5SnbVr18LDwwPm5uZQKBT4/vvvkZqaWmMxBAUFITMzUzpu3rxZY20TERERvYjJOL0SGhoaEEKolOXn56ucW1pawsvLS5od37x5szQrDgBbt27FpEmTEBAQgH379iE+Ph7Dhg1DXl5etZ77PLlcDiMjI5WDiIiIqLZwNxV6JczNzfHo0SPk5OTAwMAAABAfH1+inp+fH2bMmIEBAwYgKSkJH330kXQtJiYGnp6eGDt2rFSWlJT00uc+v8tLVlYWkpOTq9kbIiIioprBmXF6Jdq2bQt9fX3MmjUL165dw88//4zw8PAS9fr27YusrCx8/PHH8PLygrW1tXTNwcEBp0+fxt69e3HlyhXMnTsXsbGx5T63U6dO2LBhA2JiYnDx4kUMHToUmpqaNd09IiIioiphMk6vRJ06dbBx40bs3r0bLi4u2Lx5c6nbCxoZGaFnz544d+4c/Pz8VK6NGTMGffv2Rf/+/dG2bVtkZGSozJKXJigoCB06dECPHj3g6+uL3r17o1GjRjXZNSIiIqIqk4kXF9QSkSQrKwtKpRIB02OgI1eoOxwCsOYzN3WHQERE9FLFOURmZma576BxZpyIiIiISE2YjBMRERERqQl3UyGqgOWzW3CbQyIiIqpxnBknIiIiIlITJuNERERERGrCZJyIiIiISE24ZpyoAr7clAZdvWx1h/GvNcvfSt0hEBER1QrOjBMRERERqQmTcSIiIiIiNWEyTkRERESkJkzGqdb4+/tDJpNhyZIlKuU7d+6ETCZTU1RERERErw8m41SrdHV1sXTpUjx48OCVPjc/P/+VPo+IiIioKpiMU63q0qULLCwssHjx4lKvZ2RkYMCAAbCxsYG+vj5cXFywefNmlTp2dnZYsWKFSpmbmxtCQkKkc5lMhrVr16JXr14wMDDAggULEB4eDmNjY5X7OCtPRERErxMm41SrNDU1sWjRIqxcuRK3bt0qcf3p06do1aoVdu3ahYsXL2LUqFEYPHgwTp48WelnBQcHo1evXrhw4QICAgKqFG9ubi6ysrJUDiIiIqLawmScal2fPn3g5uaG4ODgEtesra0xdepUuLm5oWHDhhg3bhy8vb2xbdu2Sj9n4MCBCAgIQMOGDdGgQYMqxbp48WIolUrpsLW1rVI7RERERBXBZJxeiaVLl2L9+vW4dOmSSnlhYSEWLlyIFi1awNTUFAqFAvv27UNqamqln+Hh4VHtOIOCgpCZmSkdN2/erHabRERERGVhMk6vRIcOHeDt7Y1Zs2aplIeGhmL58uWYPn06Dh48iPj4eHh7eyMvL0+qo6GhASGEyn2lvaBpYGCgcl7R+54nl8thZGSkchARERHVFi11B0D/HkuWLIGbmxscHR2lspiYGPTq1QuDBg0CABQVFeHq1ato1qyZVMfc3BxpaWnSeVZWFpKTk1/6PHNzczx69Ag5OTlSoh4fH19DvSEiIiKqPs6M0yvj4uICPz8/rFy5UipzcHDA/v37cezYMSQkJGD06NG4e/euyn2dOnXChg0bEBMTg4sXL2Lo0KHQ1NR86fPatm0LfX19zJo1C9euXcPPP/+M8PDwmu4WERERUZUxGadXav78+SpLR+bOnQt3d3d4e3ujY8eOsLCwQO/evVXuCQoKQocOHdCjRw/4+vqid+/eaNSo0UufVadOHWzcuBG7d++Wtkx8fjtEIiIiInWTiRcX1RKRJCsrC0qlEnNXX4aunqG6w/nXmuVvpe4QiIiIKqU4h8jMzCz3HTTOjBMRERERqQmTcSIiIiIiNeFuKkQVMNXPktscEhERUY3jzDgRERERkZowGSciIiIiUhMm40REREREasI140QVsOVQFvQM1B0FUeUM7sL3HIiIXnecGSciIiIiUhMm40REREREasJknP4RoqOjIZPJ8PDhQ3WHQkRERFRjmIzTK+Pv7w+ZTAaZTAZtbW00bNgQU6dORU5OjrpDIyIiIlILvsBJr5SPjw/CwsKQn5+PmJgYjBgxAjk5OVizZo26QyMiIiJ65TgzTq+UXC6HhYUFbG1tMXDgQPj5+WHnzp3YuHEjPDw8YGhoCAsLCwwcOBDp6elltpORkYEBAwbAxsYG+vr6cHFxwebNm1Xq2NnZYcWKFSplbm5uCAkJqYWeEREREVUek3FSKz09PeTn5yMvLw/z58/HuXPnsHPnTiQnJ8Pf37/M+54+fYpWrVph165duHjxIkaNGoXBgwfj5MmT1YonNzcXWVlZKgcRERFRbeEyFVKbU6dO4eeff0bnzp0REBAglTds2BBff/012rRpg+zsbCgUihL3WltbY+rUqdL5uHHjsGfPHmzbtg1t27atckyLFy/GvHnzqnw/ERERUWVwZpxeqV27dkGhUEBXVxft2rVDhw4dsHLlSpw9exa9evVCgwYNYGhoiI4dOwIAUlNTS22nsLAQCxcuRIsWLWBqagqFQoF9+/aVWb+igoKCkJmZKR03b96sVntERERE5eHMOL1SXl5eWLNmDbS1tWFlZQVtbW3k5OSgW7du6NatGzZu3Ahzc3OkpqbC29sbeXl5pbYTGhqK5cuXY8WKFXBxcYGBgQEmTpyoUl9DQwNCCJX78vPzy41PLpdDLpdXv6NEREREFcBknF4pAwMDODg4qJRdvnwZ9+7dw5IlS2BrawsAOH36dLntxMTEoFevXhg0aBAAoKioCFevXkWzZs2kOubm5khLS5POs7KykJycXFNdISIiIqo2LlMhtatfvz50dHSwcuVKXL9+HZGRkZg/f3659zg4OGD//v04duwYEhISMHr0aNy9e1elTqdOnbBhwwbExMTg4sWLGDp0KDQ1NWuzK0RERESVwmSc1M7c3Bzh4eHYtm0bnJycsGTJEnz55Zfl3jN37ly4u7vD29sbHTt2hIWFBXr37q1SJygoCB06dECPHj3g6+uL3r17o1GjRrXYEyIiIqLKkYkXF9USkSQrKwtKpRLf7rwJPQMjdYdDVCmDu/BnlohIXYpziMzMTBgZlf3fY86MExERERGpCZNxIiIiIiI14W4qRBXwkZdRuX9iIiIiIqoKzowTEREREakJk3EiIiIiIjVhMk5EREREpCZcM05UAYcvPIKBQqbuMIhIzTq5Gqo7BCJ6w3BmnIiIiIhITZiMExERERGpCZPx/xMeHg5jY+OX1pPJZNi5c2eF2qxM3crw9/cv8dHvVVHRPteU6OhoyGQyPHz4sNafVVtjT0RERFST3qhk3N/fHzKZTDpMTU3h4+OD8+fPv/Te/v3748qVK9J5SEgI3NzcStRLS0vDu+++W5NhS1xcXDBixIhSr23evBna2tr466+/8NVXXyE8PLzaz3uxz1XxKhNsIiIiojfNG5WMA4CPjw/S0tKQlpaGqKgoaGlpoUePHuXek5+fDz09PdStW/el7VtYWEAul9dUuCqGDx+OrVu34vHjxyWurVu3Dj169EC9evWgVCrLndHOy8ur0PMq2mciIiIiqh1vXDIul8thYWEBCwsLuLm5YcaMGbh58yb+/vtvAEBKSgpkMhm2bt2Kjh07QldXFxs3blRZshEeHo558+bh3Llz0ix78Uz088sf8vLyEBgYCEtLS+jq6sLOzg6LFy9WiefevXvo06cP9PX10bhxY0RGRpYZ++DBg5Gbm4tt27aplKempuLgwYMYPnw4gJLLVDp27IjAwEBMnjwZZmZm6Nq1KwAgMjISjRs3hp6eHry8vLB+/XqVWewXl6kU/zVgw4YNsLOzg1KpxEcffYRHjx5VePxv3LiBnj17wsTEBAYGBmjevDl2795dat2MjAwMGDAANjY20NfXh4uLCzZv3qxSp2PHjhg/fjymT5+OOnXqwMLCAiEhISp1rl69ig4dOkBXVxdOTk7Yv3+/yvWKfJ+IiIiI1OGNS8afl52djU2bNsHBwQGmpqYq12bMmIHx48cjISEB3t7eKtf69++PKVOmoHnz5tIse//+/Uu0//XXXyMyMhJbt25FYmIiNm7cCDs7O5U68+bNw4cffojz58/D19cXfn5+uH//fqnxmpqaolevXggLC1MpDwsLQ7169cpdHrN+/XpoaWnh6NGj+Pbbb5GSkoL3338fvXv3Rnx8PEaPHo3Zs2eXN1wAgKSkJOzcuRO7du3Crl27cPjwYSxZsuSl9xX75JNPkJubiz/++AMXLlzA0qVLoVAoSq379OlTtGrVCrt27cLFixcxatQoDB48GCdPnizRNwMDA5w8eRKff/45PvvsMynhLioqQt++faGpqYkTJ05g7dq1mDFjhsr9Ffk+FcvNzUVWVpbKQURERFRb3rh9xnft2iUlfzk5ObC0tMSuXbugoaH6e8fEiRPRt2/fUtvQ09ODQqGAlpYWLCwsynxWamoqGjdujLfffhsymQwNGjQoUcff3x8DBgwAACxatAgrV67EqVOn4OPjU2qbAQEB8PX1xfXr19GwYUMIIRAeHg5/f39oamqWGYuDgwM+//xz6XzmzJlo0qQJvvjiCwBAkyZNcPHiRSxcuLDMNoBnyW14eDgMDZ/tpTt48GBERUW99L5iqamp6NevH1xcXAAADRs2LLOutbU1pk6dKp2PGzcOe/bswbZt29C2bVupvEWLFggODgYANG7cGN988w2ioqLQtWtXHDhwAAkJCUhJSYGNjQ2AZ+P8/C8uFfk+FVu8eDHmzZtXob4SERERVdcbNzPu5eWF+Ph4xMfH4+TJk+jWrRveffdd3LhxQ6Weh4dHtZ/l7++P+Ph4NGnSBOPHj8e+fftK1GnRooX0tYGBAQwNDZGenl5mm926dYONjY00O37w4EGkpKRg2LBh5cbyYn8SExPRunVrlbI2bdq8tE92dnZSIg4AlpaW5cb7ovHjx2PBggVo3749goODy315trCwEAsXLkSLFi1gamoKhUKBffv2ITU1VaXe82P4YkwJCQmoX7++lIgDQLt27VTqV+T7VCwoKAiZmZnScfPmzQr3nYiIiKiy3rhk3MDAAA4ODnBwcECbNm3w448/IicnB99//32JetXl7u6O5ORkzJ8/H0+ePMGHH36I999/X6WOtra2yrlMJkNRUVGZbWpoaMDf3x/r169HUVERwsLC0KFDBzRu3LjcWF7sjxACMpmsRNnLVDbeF40YMQLXr1/H4MGDceHCBXh4eGDlypWl1g0NDcXy5csxffp0HDx4EPHx8fD29i7xAmp5MZXWpxf7XZHvUzG5XA4jIyOVg4iIiKi2vHHJ+ItkMhk0NDTw5MmTSt2no6ODwsLCl9YzMjJC//798f333+OXX37B9u3by1wTXlHDhg3DrVu3EBERgYiICOnFzcpo2rQpYmNjVcpOnz5drbgqytbWFmPGjEFERASmTJlS4hehYjExMejVqxcGDRoEV1dXNGzYEFevXq3Us5ycnJCamoo7d+5IZcePHy9Rrza+T0RERETV9catGc/NzcXdu3cBAA8ePMA333yD7Oxs9OzZs1Lt2NnZITk5GfHx8bCxsYGhoWGJLQ2XL18OS0tLuLm5QUNDA9u2bYOFhUW1P0jH3t4enTp1wqhRo6CtrV3mLG55Ro8ejWXLlmHGjBkYPnw44uPjVXaEqS0TJ07Eu+++C0dHRzx48AAHDx5Es2bNSq3r4OCA7du349ixYzAxMcGyZctw9+7dMuuXpkuXLmjSpAmGDBmC0NBQZGVllXhRtba+T0RERETV9cbNjO/ZsweWlpawtLRE27ZtERsbi23btqFjx46Vaqdfv37w8fGBl5cXzM3NS2y5BwAKhQJLly6Fh4cHWrdujZSUFOzevbvEy6JVMXz4cDx48AAfffQR9PX1K32/vb09/vvf/yIiIgItWrTAmjVrpCS1tvZJB56tA//kk0/QrFkz+Pj4oEmTJli9enWpdefOnQt3d3d4e3ujY8eOsLCwqPQni2poaGDHjh3Izc1FmzZtMGLEiBIvm9bm94mIiIioOmSiIguJ6Y2wcOFCrF27li8lVkJWVhaUSiUij9yCgYLrx4n+7Tq5Gr68EhER/n8OkZmZWe47aFWaGvT398cff/xR5eDo1Vi9ejViY2Nx/fp1bNiwAV988QWGDh2q7rCIiIiI6P9Uac34o0eP0K1bN9ja2mLYsGEYOnQorK2tazo2qqarV69iwYIFuH//PurXr48pU6YgKChI3WERERER0f+p8jKVjIwM6WPkL168iC5dumD48OHo1atXia3oiP6pKvonJiIiIqLn1eoyFeDZR7dPmDABZ8+exalTp+Dg4IDBgwfDysoKkyZNqvQWdURERERE/zbV3k4iLS0N+/btw759+6CpqQlfX1/8+eefcHJywvLly2siRiIiIiKiN1KVkvH8/Hxs374dPXr0QIMGDbBt2zZMmjQJaWlpWL9+Pfbt24cNGzbgs88+q+l4iYiIiIjeGFV6gdPS0hJFRUUYMGAATp06BTc3txJ1vL29+aEq9MZISLoLhWGOusMgInqjNHewVHcIRGpXpWR82bJl+PDDD6Grq1tmHRMTEyQnJ1c5MCIiIiKiN12ll6kUFBQgICAA165dq414iIiIiIj+NSqdjGtpaaFBgwYoLCysjXjeGHZ2dlixYkW120lMTISFhQUePXpU/aBqkUwmw86dO9UdRrnS09Nhbm6O27dvqzsUIiIiIgBVfIFzzpw5CAoKwv3796v18PT0dIwePRr169eHXC6HhYUFvL29cfz4calOVZM8f39/yGQyjBkzpsS1sWPHQiaTwd/fvxrRPxMeHl7q2vjY2FiMGjWq2u3Pnj0bn3zyCQwNn30Ec3R0NGQyWYljzpw51X7Wm8Tf3x+9e/dWKatbty4GDx6M4OBg9QRFRERE9IIqrRn/+uuvce3aNVhZWaFBgwYwMDBQuX7mzJkKtdOvXz/k5+dj/fr1aNiwIf766y9ERUVVO8kvZmtriy1btmD58uXQ09MDADx9+hSbN29G/fr1q91+fn5+mdfMzc2r3f6tW7cQGRlZ6gx7YmKiygbyCoWiRJ3CwkLIZDJoaFR7B8t/jOI+l2XYsGFo06YNvvjiC5iYmLzCyIiIiIhKqlKW1qtXL0ydOhVBQUEYOHAgevXqpXJUxMOHD3HkyBEsXboUXl5eaNCgAdq0aYOgoCB0794dwLOlHgDQp08fyGQy6byi3N3dUb9+fUREREhlERERsLW1RcuWLVXq7tmzB2+//TaMjY1hamqKHj16ICkpSbqekpICmUyGrVu3omPHjtDV1cXGjRsxbNgwZGZmSjPUISEhUuzPJ9EymQw//PAD+vTpA319fTRu3BiRkZHlxr9161a4urrCxsamxLW6devCwsJCOhQKhTRLv2vXLjg5OUEul+PGjRvIy8vD9OnTYW1tDQMDA7Rt2xbR0dFSW8X37d27F82aNYNCoYCPjw/S0tJUnrlu3To0b94ccrkclpaWCAwMVLl+7969SvXPzs4O8+fPx8CBA6FQKGBlZYWVK1eq1Fm2bBlcXFxgYGAAW1tbjB07FtnZ2SVif77Pw4YNw/r16/Hrr79K35fi/rq4uMDCwgI7duwoNzYiIiKiV6FKM+PFCWd1KBQKKBQK7Ny5E2+99RbkcnmJOrGxsahbty7CwsLg4+MDTU3NSj9n2LBhCAsLg5+fH4BnCWVAQIBKMgoAOTk5mDx5MlxcXJCTk4NPP/0Uffr0QXx8vMrM8owZMxAaGoqwsDBoampixYoV+PTTT5GYmCj1qyzz5s3D559/ji+++AIrV66En58fbty4gTp16pRa/48//oCHh0el+vv48WMsXrwYP/zwA0xNTVG3bl0MGzYMKSkp2LJlC6ysrLBjxw74+PjgwoULaNy4sXTfl19+iQ0bNkBDQwODBg3C1KlTsWnTJgDAmjVrMHnyZCxZsgTvvvsuMjMzcfTo0Wr1DwC++OILzJo1CyEhIdi7dy8mTZqEpk2bomvXrgAADQ0NfP3117Czs0NycjLGjh2L6dOnY/Xq1WX22cLCAk+fPkVWVhbCwsIAQCWGNm3aICYmBgEBASXiyc3NRW5urnSelZVVqfEnIiIiqowqzYw3bNgQGRkZJcofPnyIhg0bVqgNLS0thIeHY/369TA2Nkb79u0xa9YsnD9/XqpTvNTD2NgYFhYWVVr6MXjwYBw5cgQpKSm4ceMGjh49ikGDBpWo169fP/Tt2xeNGzeGm5sbfvzxR1y4cAGXLl1SqTdx4kT07dsX9vb2qF+/PpRKJWQymcoMdVn8/f0xYMAAODg4YNGiRcjJycGpU6fKrJ+SkgIrK6tSr9nY2Ei/0CgUCun7kZ+fj9WrV8PT0xNNmjTB3bt3sXnzZmzbtg3/+c9/0KhRI0ydOhVvv/22lKgW37d27Vp4eHjA3d0dgYGBiIqKkq4vWLAAU6ZMwYQJE+Do6IjWrVtj4sSJ1eofALRv3x4zZ86Eo6Mjxo0bh/fff1/lk1snTpwILy8v2Nvbo1OnTpg/fz62bt2q0saLfVYqldDT05PeQ7CwsICOjo5U39raGikpKaXGs3jxYiiVSumwtbUtN34iIiKi6qhSMp6SklLqbiq5ubm4detWhdvp168f7ty5g8jISHh7eyM6Ohru7u4IDw+vSlilMjMzQ/fu3bF+/XqEhYWhe/fuMDMzK1EvKSkJAwcORMOGDWFkZAR7e3sAQGpqqkq9ys5UP69FixbS1wYGBjA0NER6enqZ9Z88eVLmXu4xMTGIj4+XjuL1zzo6OirPOXPmDIQQcHR0VEneDx8+rLIMR19fH40aNZLOLS0tpdjS09Nx584ddO7cuUb7BwDt2rUrcZ6QkCCdHzp0CF27doW1tTUMDQ0xZMgQZGRkICfn/38Az4t9fhk9PT08fvy41GtBQUHIzMyUjps3b1a4XSIiIqLKqtQylefXAO/duxdKpVI6LywsRFRUlJTEVpSuri66du2Krl274tNPP8WIESMQHBxcIzudFAsICJDWN69atarUOj179oStrS2+//57WFlZoaioCM7OzsjLy1Op9+LLqpWhra2tci6TyVBUVFRmfTMzMzx48KDUa/b29qXu4qKnp6fyAmNRURE0NTURFxdXYpnP87P4pcUmhJDarIjK9q8sxfHfuHEDvr6+GDNmDObPn486dergyJEjGD58uMrLsy/2+WXu379f5l9Z5HJ5qUumiIiIiGpDpZLx4q3iZDIZhg4dqnJNW1sbdnZ2CA0NrVZATk5OKlsZamtrV3tPcx8fHymp9vb2LnE9IyMDCQkJ+Pbbb/Gf//wHAHDkyJEKta2jo1Nre663bNmyxDKZqrRRWFiI9PR0qW+VZWhoCDs7O0RFRcHLy6ta8bzoxIkTJc6bNm0KADh9+jQKCgoQGhoqrdt/cYlKWcr7vly8eBEdO3asetBERERENaRSy1SKiopQVFSE+vXrIz09XTovKipCbm4uEhMT0aNHjwq1lZGRgU6dOmHjxo04f/48kpOTsW3bNnz++ecqO7IUJ4F3796VZolPnTqFpk2bVvjDWzQ1NZGQkICEhIRSXwI1MTGBqakpvvvuO1y7dg0HDx7E5MmTK9S2nZ0dsrOzERUVhXv37pW5/KEqivdcr06y7+joCD8/PwwZMgQRERFITk5GbGwsli5dit27d1e4nZCQEISGhuLrr7/G1atXcebMmRI7n1TF0aNH8fnnn+PKlStYtWoVtm3bhgkTJgAAGjVqhIKCAqxcuRLXr1/Hhg0bsHbt2gq1a2dnh/PnzyMxMRH37t2TZtIfP36MuLg4dOvWrdqxExEREVVXldaMJycnl7ruujIUCgXatm2L5cuXo0OHDnB2dsbcuXMxcuRIfPPNN1K90NBQ7N+/X2U7wsePHyMxMbHcfb5fZGRkpLIv9/M0NDSwZcsWxMXFwdnZGZMmTcIXX3xRoXY9PT0xZswY9O/fH+bm5vj8888rHNPL+Pr6QltbGwcOHKhWO2FhYRgyZAimTJmCJk2a4L333sPJkycr9XLi0KFDsWLFCqxevRrNmzdHjx49cPXq1WrFBQBTpkxBXFwcWrZsifnz5yM0NFT664WbmxuWLVuGpUuXwtnZGZs2bcLixYsr1O7IkSPRpEkTeHh4wNzcXNr55ddff0X9+vWr/FcCIiIiopokE8ULgyspKioKUVFR0gz589atW1cjwRGwevVq/Prrr9i7d6+6Q6lxdnZ2mDhxYoldWWpTmzZtMHHiRAwcOLBC9bOysqBUKnHiTCIU//cpqEREVDOaO1iqOwSiWlOcQ2RmZpY5IQxUcZ/xefPm4bPPPoOHhwcsLS0r9fIcVc6oUaPw4MEDPHr0CIZMBqslPT0d77//PgYMGKDuUIiIiIgAVDEZX7t2LcLDwzF48OCajodeoKWlhdmzZ6s7jDdC3bp1MX36dHWHQURERCSpUjKel5cHT0/Pmo6F/mXK+uCd11GzRhbl/omJiIiIqCqq9ALniBEj8PPPP9d0LERERERE/ypVmhl/+vQpvvvuOxw4cAAtWrQo8WEvy5Ytq5HgiIiIiIjeZFVKxs+fPw83NzcAzz5A5Xl8mZOIiIiIqGKqlIwfOnSopuMgeq3duXIBjxQKdYdBRCSxbuqq7hCIqAZUac04ERERERFVX5Vmxr28vMpdjnLw4MEqB0RERERE9G9RpZlxNzc3uLq6SoeTkxPy8vJw5swZuLi41HSM9BqSyWTYuXMngGdbFMpkMsTHx9fKs+zs7LBixYpaaZuIiIhInao0M758+fJSy0NCQpCdnV2tgEj97t69i8WLF+O3337DrVu3oFQq0bhxYwwaNAhDhgyBvr4+0tLSYGJiopb4ZDIZduzYgd69e6vl+UREREQ1pUrJeFkGDRqENm3a4Msvv6zJZukVun79Otq3bw9jY2MsWrQILi4uKCgowJUrV7Bu3TpYWVnhvffeg4WFRbWeI4RAYWEhtLRq9EewUvLy8qCjo6O25xMRERHV6Aucx48fh66ubk02Sa/Y2LFjoaWlhdOnT+PDDz9Es2bN4OLign79+uG3335Dz549AaguUyl2+fJleHp6QldXF82bN0d0dLR0LTo6GjKZDHv37oWHhwfkcjliYmKQlJSEXr16oV69elAoFGjdujUOHDhQZnx2dnYAgD59+kAmk0nnFWnHzs4OCxYsgL+/P5RKJUaOHFnt8SIiIiKqjipNS/bt21flXAiBtLQ0nD59GnPnzq2RwOjVy8jIwL59+7Bo0SIYGBiUWqe8F3enTZuGFStWwMnJCcuWLcN7772H5ORkmJqaSnWmT5+OL7/8Eg0bNoSxsTFu3boFX19fLFiwALq6uli/fj169uyJxMRE1K9fv8QzYmNjUbduXYSFhcHHxweampoAgOzs7Aq188UXX2Du3LmYM2dOqX3Izc1Fbm6udJ6VlVX+oBERERFVQ5VmxpVKpcpRp04ddOzYEbt370ZwcHBNx0ivyLVr1yCEQJMmTVTKzczMoFAooFAoMGPGjDLvDwwMRL9+/dCsWTOsWbMGSqUSP/74o0qdzz77DF27dkWjRo1gamoKV1dXjB49Gi4uLmjcuDEWLFiAhg0bIjIystRnmJubAwCMjY1hYWEhnVe0nU6dOmHq1KlwcHCAg4NDifYXL16s8rNta2v78oEjIiIiqqIqzYyHhYXVdBz0Gnlx9vvUqVMoKiqCn5+fyqzxi9q1ayd9raWlBQ8PDyQkJKjU8fDwUDnPycnBvHnzsGvXLty5cwcFBQV48uQJUlNTKxVzRdt58fkvCgoKwuTJk6XzrKwsJuRERERUa6r19lxcXBwSEhIgk8ng5OSEli1b1lRcpAYODg6QyWS4fPmySnnDhg0BAHp6epVu88XE/sXlL9OmTcPevXvx5ZdfwsHBAXp6enj//feRl5dXqedUtJ2ylt8Uk8vlkMvllXo2ERERUVVVaZlKeno6OnXqhNatW2P8+PEIDAxEq1at0LlzZ/z99981HSO9IqampujatSu++eYb5OTkVPr+EydOSF8XFBQgLi4OTZs2LfeemJgY+Pv7o0+fPnBxcYGFhQVSUlLKvUdbWxuFhYXVboeIiIhI3aqUjI8bNw5ZWVn4888/cf/+fTx48AAXL15EVlYWxo8fX9Mx0iu0evVqFBQUwMPDA7/88gsSEhKQmJiIjRs34vLly9ILk6VZtWoVduzYgcuXL+OTTz7BgwcPEBAQUO7zHBwcEBERgfj4eJw7dw4DBw5EUVFRuffY2dkhKioKd+/exYMHD6rcDhEREZG6VSkZ37NnD9asWYNmzZpJZU5OTli1ahV+//33GguOXr1GjRrh7Nmz6NKlC4KCguDq6goPDw+sXLkSU6dOxfz588u8d8mSJVi6dClcXV0RExODX3/9FWZmZuU+b/ny5TAxMYGnpyd69uwJb29vuLu7l3tPaGgo9u/fD1tbW2lpVFXaISIiIlI3mRBCVPYmQ0NDxMTEwM3NTaX87NmzeOedd7gdHL0xsrKyoFQqkRB7BIYKhbrDISKSWDd1VXcIRFSO4hwiMzMTRkZGZdar0sx4p06dMGHCBNy5c0cqu337NiZNmoTOnTtXpUkiIiIion+dKiXj33zzDR49egQ7Ozs0atQIDg4OsLe3x6NHj7By5cqajpGIiIiI6I1UpWUqxfbv34/Lly9DCAEnJyd06dKlJmMjUruK/omJiIiI6Hm1skzl4MGDcHJyktaEd+3aFePGjcP48ePRunVrNG/eHDExMdWLnIiIiIjoX6JSyfiKFSswcuTIUrN7pVKJ0aNHY9myZTUWHBERERHRm6xSyfi5c+fg4+NT5vVu3bohLi6u2kEREREREf0baFWm8l9//QVtbe2yG9PS4idw0hvp/snfkW+gr+4wiIhKZerZU90hEFEVVWpm3NraGhcuXCjz+vnz52FpaVntoIiIiIiI/g0qlYz7+vri008/xdOnT0tce/LkCYKDg9GjR48aC46IiIiI6E1WqWR8zpw5uH//PhwdHfH555/j119/RWRkJJYuXYomTZrg/v37mD17dm3FSgQ7OzusWLFC3WEQERER1YhKJeP16tXDsWPH4OzsjKCgIPTp0we9e/fGrFmz4OzsjKNHj6JevXq1FSu9RHp6OkaPHo369etDLpfDwsIC3t7eOH78eK0+NyUlBTKZDFpaWrh9+7bKtbS0NGhpaUEmkyElJaXaz4qNjcWoUaOq3Q4RERHR66BSL3ACQIMGDbB79248ePAA165dgxACjRs3homJSW3ER5XQr18/5OfnY/369WjYsCH++usvREVF4f79+6/k+VZWVvjpp58QFBQkla1fvx7W1tZITU2tVtt5eXnQ0dGBubl5dcMkIiIiem1Uamb8eSYmJmjdujXatGnDRPw18PDhQxw5cgRLly6Fl5cXGjRogDZt2iAoKAjdu3eX6i1btgwuLi4wMDCAra0txo4di+zsbOl6eHg4jI2NsXfvXjRr1gwKhQI+Pj5IS0t7aQxDhw5FWFiYSll4eDiGDh2qUlZYWIjhw4fD3t4eenp6aNKkCb766iuVOv7+/ujduzcWL14MKysrODo6Aii5TEUmk+GHH35Anz59oK+vj8aNGyMyMlKlrcOHD6NNmzaQy+WwtLTEzJkzUVBQ8NL+EBEREdW2Kifj9HpRKBRQKBTYuXMncnNzy6ynoaGBr7/+GhcvXsT69etx8OBBTJ8+XaXO48eP8eWXX2LDhg34448/kJqaiqlTp740hvfeew8PHjzAkSNHAABHjhzB/fv30bOn6pZbRUVFsLGxwdatW3Hp0iV8+umnmDVrFrZu3apSLyoqCgkJCdi/fz927dpV5nPnzZuHDz/8EOfPn4evry/8/Pykvwbcvn0bvr6+aN26Nc6dO4c1a9bgxx9/xIIFC0ptKzc3F1lZWSoHERERUW1hMv6G0NLSQnh4ONavXw9jY2O0b98es2bNwvnz51XqTZw4EV5eXrC3t0enTp0wf/78Eklwfn4+1q5dCw8PD7i7uyMwMBBRUVEvjUFbWxuDBg3CunXrAADr1q3DoEGDSuxNr62tjXnz5qF169awt7eHn58f/P39S8RhYGCAH374Ac2bN4ezs3OZz/X398eAAQPg4OCARYsWIScnB6dOnQIArF69Gra2tvjmm2/QtGlT9O7dG/PmzUNoaCiKiopKtLV48WIolUrpsLW1fWm/iYiIiKqKyfgbpF+/frhz5w4iIyPh7e2N6OhouLu7Izw8XKpz6NAhdO3aFdbW1jA0NMSQIUOQkZGBnJwcqY6+vj4aNWoknVtaWiI9Pb1CMQwfPhzbtm3D3bt3sW3bNgQEBJRarzjZNzc3h0KhwPfff19iXbmLiwt0dHRe+swWLVpIXxsYGMDQ0FCKNyEhAe3atYNMJpPqtG/fHtnZ2bh161aJtoKCgpCZmSkdN2/erFC/iYiIiKqCyfgbRldXF127dsWnn36KY8eOwd/fH8HBwQCAGzduwNfXF87Ozti+fTvi4uKwatUqAM9mw4u9OJMtk8kghKjQ852dndG0aVMMGDAAzZo1K3VGe+vWrZg0aRICAgKwb98+xMfHY9iwYcjLy1OpZ2BgUKFnlhZv8ay3EEIlES8uK673IrlcDiMjI5WDiIiIqLYwGX/DOTk5SbPep0+fRkFBAUJDQ/HWW2/B0dERd+7cqfFnBgQEIDo6usxZ8ZiYGHh6emLs2LFo2bIlHBwckJSUVONxAM/6f+zYMZVfJo4dOwZDQ0NYW1vXyjOJiIiIKorJ+BsiIyMDnTp1wsaNG3H+/HkkJydj27Zt+Pzzz9GrVy8AQKNGjVBQUICVK1fi+vXr2LBhA9auXVvjsYwcORJ///03RowYUep1BwcHnD59Gnv37sWVK1cwd+5cxMbG1ngcADB27FjcvHkT48aNw+XLl/Hrr78iODgYkydPhoYGf/yJiIhIvZiNvCEUCgXatm2L5cuXo0OHDnB2dsbcuXMxcuRIfPPNNwAANzc3LFu2DEuXLoWzszM2bdqExYsX13gsWlpaMDMzg5ZW6dvYjxkzBn379kX//v3Rtm1bZGRkYOzYsTUeBwBYW1tj9+7dOHXqFFxdXTFmzBgMHz4cc+bMqZXnEREREVWGTFR0MTDRv1BWVhaUSiWS922BoYG+usMhIiqVqWfPl1cioleqOIfIzMws9x00zowTEREREakJk3EiIiIiIjUpfVEvEamo0/ZdbnNIRERENY4z40REREREasJknIiIiIhITZiMExERERGpCdeME1XAX9vX4rG+rrrDICKqcRb9x6s7BKJ/Nc6MExERERGpCZNxIiIiIiI1YTJORERERKQmTMapwvz9/SGTyTBmzJgS18aOHQuZTAZ/f/9XHxgRERHRPxSTcaoUW1tbbNmyBU+ePJHKnj59is2bN6N+/fpqjIyIiIjon4fJOFWKu7s76tevj4iICKksIiICtra2aNmypVSWm5uL8ePHo27dutDV1cXbb7+N2NhY6Xp0dDRkMhmioqLg4eEBfX19eHp6IjExUaqTlJSEXr16oV69elAoFGjdujUOHDigEk9ubi6mT58OW1tbyOVyNG7cGD/++KN0/fDhw2jTpg3kcjksLS0xc+ZMFBQU1MbQEBEREVUak3GqtGHDhiEsLEw6X7duHQICAlTqTJ8+Hdu3b8f69etx5swZODg4wNvbG/fv31epN3v2bISGhuL06dPQ0tJSaSc7Oxu+vr44cOAAzp49C29vb/Ts2ROpqalSnSFDhmDLli34+uuvkZCQgLVr10KhUAAAbt++DV9fX7Ru3Rrnzp3DmjVr8OOPP2LBggVl9i03NxdZWVkqBxEREVFtkQkhhLqDoH8Gf39/PHz4ED/88ANsbGxw+fJlyGQyNG3aFDdv3sSIESNgbGyMVatWwcTEBOHh4Rg4cCAAID8/H3Z2dpg4cSKmTZuG6OhoeHl54cCBA+jcuTMAYPfu3ejevTuePHkCXd3S9/Ru3rw5Pv74YwQGBuLKlSto0qQJ9u/fjy5dupSoO3v2bGzfvh0JCQmQyWQAgNWrV2PGjBnIzMyEhkbJ30VDQkIwb968EuVX1i2FIfcZJ6I3EPcZJ6odWVlZUCqVyMzMhJGRUZn1ODNOlWZmZobu3btj/fr1CAsLQ/fu3WFmZiZdT0pKQn5+Ptq3by+VaWtro02bNkhISFBpq0WLFtLXlpaWAID09HQAQE5ODqZPnw4nJycYGxtDoVDg8uXL0sx4fHw8NDU18c4775QaZ0JCAtq1aycl4gDQvn17ZGdn49atW6XeExQUhMzMTOm4efNmZYaGiIiIqFL4CZxUJQEBAQgMDAQArFq1SuVa8R9bnk+Ci8tfLNPW1pa+Lr5WVFQEAJg2bRr27t2LL7/8Eg4ODtDT08P777+PvLw8AICenl65MZb2vLJiKyaXyyGXy8ttl4iIiKimcGacqsTHxwd5eXnIy8uDt7e3yjUHBwfo6OjgyJEjUll+fj5Onz6NZs2aVfgZMTEx8Pf3R58+feDi4gILCwukpKRI111cXFBUVITDhw+Xer+TkxOOHTuG51diHTt2DIaGhrC2tq5wHERERES1hck4VYmmpiYSEhKQkJAATU1NlWsGBgb4+OOPMW3aNOzZsweXLl3CyJEj8fjxYwwfPrzCz3BwcEBERATi4+Nx7tw5DBw4UJo1BwA7OzsMHToUAQEB2LlzJ5KTkxEdHY2tW7cCeLb3+c2bNzFu3DhcvnwZv/76K4KDgzF58uRS14sTERERvWpcpkJVVt7LCEuWLEFRUREGDx6MR48ewcPDA3v37oWJiUmF21++fDkCAgLg6ekJMzMzzJgxo8TuJmvWrMGsWbMwduxYZGRkoH79+pg1axYAwNraGrt378a0adPg6uqKOnXqYPjw4ZgzZ07VOkxERERUw7ibClE5it+E5m4qRPSm4m4qRLWDu6kQEREREb3mmIwTEREREakJ14wTVUC9fmPK/RMTERERUVVwZpyIiIiISE2YjBMRERERqQmTcSIiIiIiNeGacaIKuBY6CwpdubrDICL6x3IMClV3CESvJc6MExERERGpCZNxIiIiIiI1YTL+DyKTybBz587Xtj11Cw8Ph7GxsbrDICIiIqowJuOvGX9/f/Tu3bvUa2lpaXj33XdfWSzR0dGQyWR4+PDhK3smUPWkun///rhy5UrNB0RERERUS/gC5z+IhYWFukN4renp6UFPT0/dYRARERFVGGfG/0FeXFZy+/Zt9O/fHyYmJjA1NUWvXr2QkpKics+6devQvHlzyOVyWFpaIjAwUOX6vXv30KdPH+jr66Nx48aIjIwEAKSkpMDLywsAYGJiAplMBn9/fwCAEAKff/45GjZsCD09Pbi6uuK///2v1GbxjHpUVBQ8PDygr68PT09PJCYmSnXOnTsHLy8vGBoawsjICK1atcLp06cRHR2NYcOGITMzEzKZDDKZDCEhIQCAvLw8TJ8+HdbW1jAwMEDbtm0RHR0ttfnijHpISAjc3NywYcMG2NnZQalU4qOPPsKjR4+q+B0gIiIiqllMxv+hHj9+DC8vLygUCvzxxx84cuQIFAoFfHx8kJeXBwBYs2YNPvnkE4waNQoXLlxAZGQkHBwcVNqZN28ePvzwQ5w/fx6+vr7w8/PD/fv3YWtri+3btwMAEhMTkZaWhq+++goAMGfOHISFhWHNmjX4888/MWnSJAwaNAiHDx9WaXv27NkIDQ3F6dOnoaWlhYCAAOman58fbGxsEBsbi7i4OMycORPa2trw9PTEihUrYGRkhLS0NKSlpWHq1KkAgGHDhuHo0aPYsmULzp8/jw8++AA+Pj64evVqmeOUlJSEnTt3YteuXdi1axcOHz6MJUuWlFk/NzcXWVlZKgcRERFRbeEylX+oLVu2QENDAz/88ANkMhkAICwsDMbGxoiOjka3bt2wYMECTJkyBRMmTJDua926tUo7/v7+GDBgAABg0aJFWLlyJU6dOgUfHx/UqVMHAFC3bl1pxjknJwfLli3DwYMH0a5dOwBAw4YNceTIEXz77bd45513pLYXLlwonc+cORPdu3fH06dPoauri9TUVEybNg1NmzYFADRu3Fi6T6lUQiaTqSzLSUpKwubNm3Hr1i1YWVkBAKZOnYo9e/YgLCwMixYtKnWcioqKEB4eDkNDQwDA4MGDERUVhYULF5Zaf/HixZg3b16Z405ERERUk5iM/0PFxcXh2rVrUpJZ7OnTp0hKSkJ6ejru3LmDzp07l9tOixYtpK8NDAxgaGiI9PT0MutfunQJT58+RdeuXVXK8/Ly0LJlyzLbtrS0BACkp6ejfv36mDx5MkaMGIENGzagS5cu+OCDD9CoUaMyn3vmzBkIIeDo6KhSnpubC1NT0zLvs7OzUxkjS0vLcvsXFBSEyZMnS+dZWVmwtbUtsz4RERFRdTAZ/4cqKipCq1atsGnTphLXzM3NoaFRsRVI2traKucymQxFRUXlPhcAfvvtN1hbW6tck8tVP6Hy+baLZ++L7w8JCcHAgQPx22+/4ffff0dwcDC2bNmCPn36lPlcTU1NxMXFQVNTU+WaQqGosf7J5fIS/SAiIiKqLUzG/6Hc3d3xyy+/oG7dujAyMiq1jp2dHaKioqQXMStLR0cHAFBYWCiVOTk5QS6XIzU1VWVJSlU4OjrC0dERkyZNwoABAxAWFoY+ffpAR0dH5ZkA0LJlSxQWFiI9PR3/+c9/qvVcIiIiotcFX+B8DWVmZiI+Pl7lSE1NVanj5+cHMzMz9OrVCzExMUhOTsbhw4cxYcIE3Lp1C8Cz2efQ0FB8/fXXuHr1Ks6cOYOVK1dWOI4GDRpAJpNh165d+Pvvv5GdnQ1DQ0NMnToVkyZNwvr165GUlISzZ89i1apVWL9+fYXaffLkCQIDAxEdHY0bN27g6NGjiI2NRbNmzQA8+yUiOzsbUVFRuHfvHh4/fgxHR0f4+flhyJAhiIiIQHJyMmJjY7F06VLs3r27wn0iIiIiep1wZvw1FB0dXWL99dChQ1XO9fX18ccff2DGjBno27cvHj16BGtra3Tu3FmaKR86dCiePn2K5cuXY+rUqTAzM8P7779f4Tisra0xb948zJw5E8OGDcOQIUMQHh6O+fPno27duli8eDGuX78OY2NjuLu7Y9asWRVqV1NTExkZGRgyZAj++usvmJmZoW/fvtKLk56enhgzZgz69++PjIwMBAcHIyQkBGFhYdJLqbdv34apqSnatWsHX1/fCveJiIiI6HUiE0IIdQdB9LrKysqCUqlE3KefQKHLteRERFXlGBSq7hCIXqniHCIzM7PMJcUAl6kQEREREakNk3EiIiIiIjXhmnGiCnCYsqjcPzERERERVQVnxomIiIiI1ITJOBERERGRmjAZJyIiIiJSE64ZJ6qAo6MGw0BHW91hEBERUQ3p8NN/1R0CAM6MExERERGpDZNxIiIiIiI1YTL+hoiOjoZMJsPDhw+r1Y6dnR1WrFghnctkMuzcubNabRbz9/dH7969a6St8oSHh8PY2LjWn0NERERUXUzGa4C/vz9kMhnGjBlT4trYsWMhk8ng7+//6gN7BV5Vgk1ERET0JmIyXkNsbW2xZcsWPHnyRCp7+vQpNm/ejPr161e7/fz8/Gq3QURERESvFybjNcTd3R3169dHRESEVBYREQFbW1u0bNlSpe6ePXvw9ttvw9jYGKampujRoweSkpKk6ykpKZDJZNi6dSs6duwIXV1dbNy4ETdu3EDPnj1hYmICAwMDNG/eHLt371ZpOy4uDh4eHtDX14enpycSExOla0lJSejVqxfq1asHhUKB1q1b48CBAzU6Dv/973/h4uICPT09mJqaokuXLsjJySm1bkXHISIiAl5eXtDX14erqyuOHz+u0k54eDjq168PfX199OnTBxkZGSrXz507By8vLxgaGsLIyAitWrXC6dOna7TfRERERFXBZLwGDRs2DGFhYdL5unXrEBAQUKJeTk4OJk+ejNjYWERFRUFDQwN9+vRBUVGRSr0ZM2Zg/PjxSEhIgLe3Nz755BPk5ubijz/+wIULF7B06VIoFAqVe2bPno3Q0FCcPn0aWlpaKs/Pzs6Gr68vDhw4gLNnz8Lb2xs9e/ZEampqjfQ/LS0NAwYMQEBAABISEhAdHY2+fftCCFFq/YqOw+zZszF16lTEx8fD0dERAwYMQEFBAQDg5MmTCAgIwNixYxEfHw8vLy8sWLBA5X4/Pz/Y2NggNjYWcXFxmDlzJrS1S9+mMDc3F1lZWSoHERERUW3hPuM1aPDgwQgKCpJmdI8ePYotW7YgOjpapV6/fv1Uzn/88UfUrVsXly5dgrOzs1Q+ceJE9O3bVzpPTU1Fv3794OLiAgBo2LBhiRgWLlyId955BwAwc+ZMdO/eHU+fPoWuri5cXV3h6uoq1V2wYAF27NiByMhIBAYGVrv/aWlpKCgoQN++fdGgQQMAkGItTUXHYerUqejevTsAYN68eWjevDmuXbuGpk2b4quvvoK3tzdmzpwJAHB0dMSxY8ewZ88e6f7U1FRMmzYNTZs2BQA0bty4zJgWL16MefPmVbLnRERERFXDmfEaZGZmhu7du2P9+vUICwtD9+7dYWZmVqJeUlISBg4ciIYNG8LIyAj29vYAUGKG2sPDQ+V8/PjxWLBgAdq3b4/g4GCcP3++RNstWrSQvra0tAQApKenA3g2Ez19+nQ4OTnB2NgYCoUCly9frrGZcVdXV3Tu3BkuLi744IMP8P333+PBgwdl1q/oOJTXp4SEBLRr106l/ovnkydPxogRI9ClSxcsWbJEZSnMi4KCgpCZmSkdN2/erEDPiYiIiKqGyXgNCwgIQHh4ONavX1/qEhUA6NmzJzIyMvD999/j5MmTOHnyJAAgLy9PpZ6BgYHK+YgRI3D9+nUMHjwYFy5cgIeHB1auXKlS5/nlFzKZDACkZR/Tpk3D9u3bsXDhQsTExCA+Ph4uLi4lnltVmpqa2L9/P37//Xc4OTlh5cqVaNKkCZKTk0utX9FxKK9PZS2BeV5ISAj+/PNPdO/eHQcPHoSTkxN27NhRal25XA4jIyOVg4iIiKi2MBmvYT4+PsjLy0NeXh68vb1LXM/IyEBCQgLmzJmDzp07o1mzZuXOHr/I1tYWY8aMQUREBKZMmYLvv/++wvfGxMTA398fffr0gYuLCywsLJCSklLh+ytCJpOhffv2mDdvHs6ePQsdHZ1SE9/qjkMxJycnnDhxQqXsxXPg2fKVSZMmYd++fejbt6/K2n4iIiIideGa8RqmqamJhIQE6esXmZiYwNTUFN999x0sLS2RmpoqrXd+mYkTJ+Ldd9+Fo6MjHjx4gIMHD6JZs2YVjs3BwQERERHo2bMnZDIZ5s6dW+Jlyeo4efIkoqKi0K1bN9StWxcnT57E33//XWqM1RmH540fPx6enp74/PPP0bt3b+zbt09lvfiTJ08wbdo0vP/++7C3t8etW7cQGxtbYr06ERERkTpwZrwWlLe8QUNDA1u2bEFcXBycnZ0xadIkfPHFFxVqt7CwEJ988gmaNWsGHx8fNGnSBKtXr65wXMuXL4eJiQk8PT3Rs2dPeHt7w93dvcL3v4yRkRH++OMP+Pr6wtHREXPmzEFoaCjefffdEnWrMw7Pe+utt/DDDz9g5cqVcHNzw759+zBnzhzpuqamJjIyMjBkyBA4Ojriww8/xLvvvsuXNImIiOi1IBMVWXRL9C+VlZUFpVKJ3f3fg4FO6dshEhER0T9Ph5/+W6vtF+cQmZmZ5b6DxplxIiIiIiI1YTJORERERKQmfIGTqALaf7eB2xwSERFRjWMyTlSO4lcqsrKy1BwJERER/ZMU5w4vez2TyThROTIyMgA829+diIiIqLIePXoEpVJZ5nUm40TlqFOnDgAgNTW13H9IVLOysrJga2uLmzdvcnnQK8axVw+Ou3pw3NXj3zLuQgg8evQIVlZW5dZjMk5UDg2NZ+84K5XKN/o/GK+r8vbsp9rFsVcPjrt6cNzV498w7hWZyONuKkREREREasJknIiIiIhITZiME5VDLpcjODgYcrlc3aH8q3Dc1Ydjrx4cd/XguKsHx12VTLxsvxUiIiIiIqoVnBknIiIiIlITJuNERERERGrCZJyIiIiISE2YjBMRERERqQmTcaJyrF69Gvb29tDV1UWrVq0QExOj7pBeW3/88Qd69uwJKysryGQy7Ny5U+W6EAIhISGwsrKCnp4eOnbsiD///FOlTm5uLsaNGwczMzMYGBjgvffew61bt1TqPHjwAIMHD4ZSqYRSqcTgwYPx8OFDlTqpqano2bMnDAwMYGZmhvHjxyMvL682uq12ixcvRuvWrWFoaIi6deuid+/eSExMVKnDsa95a9asQYsWLaQPLWnXrh1+//136TrH/NVYvHgxZDIZJk6cKJVx7GteSEgIZDKZymFhYSFd55hXkyCiUm3ZskVoa2uL77//Xly6dElMmDBBGBgYiBs3bqg7tNfS7t27xezZs8X27dsFALFjxw6V60uWLBGGhoZi+/bt4sKFC6J///7C0tJSZGVlSXXGjBkjrK2txf79+8WZM2eEl5eXcHV1FQUFBVIdHx8f4ezsLI4dOyaOHTsmnJ2dRY8ePaTrBQUFwtnZWXh5eYkzZ86I/fv3CysrKxEYGFjrY6AO3t7eIiwsTFy8eFHEx8eL7t27i/r164vs7GypDse+5kVGRorffvtNJCYmisTERDFr1iyhra0tLl68KITgmL8Kp06dEnZ2dqJFixZiwoQJUjnHvuYFBweL5s2bi7S0NOlIT0+XrnPMq4fJOFEZ2rRpI8aMGaNS1rRpUzFz5kw1RfTP8WIyXlRUJCwsLMSSJUuksqdPnwqlUinWrl0rhBDi4cOHQltbW2zZskWqc/v2baGhoSH27NkjhBDi0qVLAoA4ceKEVOf48eMCgLh8+bIQ4tkvBRoaGuL27dtSnc2bNwu5XC4yMzNrpb+vk/T0dAFAHD58WAjBsX+VTExMxA8//MAxfwUePXokGjduLPbv3y/eeecdKRnn2NeO4OBg4erqWuo1jnn1cZkKUSny8vIQFxeHbt26qZR369YNx44dU1NU/1zJycm4e/euynjK5XK888470njGxcUhPz9fpY6VlRWcnZ2lOsePH4dSqUTbtm2lOm+99RaUSqVKHWdnZ1hZWUl1vL29kZubi7i4uFrt5+sgMzMTAFCnTh0AHPtXobCwEFu2bEFOTg7atWvHMX8FPvnkE3Tv3h1dunRRKefY156rV6/CysoK9vb2+Oijj3D9+nUAHPOaoKXuAIheR/fu3UNhYSHq1aunUl6vXj3cvXtXTVH9cxWPWWnjeePGDamOjo4OTExMStQpvv/u3buoW7duifbr1q2rUufF55iYmEBHR+eN/94JITB58mS8/fbbcHZ2BsCxr00XLlxAu3bt8PTpUygUCuzYsQNOTk5S4sAxrx1btmzBmTNnEBsbW+Iaf95rR9u2bfHTTz/B0dERf/31FxYsWABPT0/8+eefHPMawGScqBwymUzlXAhRoowqrirj+WKd0upXpc6bKDAwEOfPn8eRI0dKXOPY17wmTZogPj4eDx8+xPbt2zF06FAcPnxYus4xr3k3b97EhAkTsG/fPujq6pZZj2Nfs959913paxcXF7Rr1w6NGjXC+vXr8dZbbwHgmFcHl6kQlcLMzAyampolftNOT08v8Vs5vVzxW/fljaeFhQXy8vLw4MGDcuv89ddfJdr/+++/Veq8+JwHDx4gPz//jf7ejRs3DpGRkTh06BBsbGykco597dHR0YGDgwM8PDywePFiuLq64quvvuKY16K4uDikp6ejVatW0NLSgpaWFg4fPoyvv/4aWlpaUp859rXLwMAALi4uuHr1Kn/eawCTcaJS6OjooFWrVti/f79K+f79++Hp6ammqP657O3tYWFhoTKeeXl5OHz4sDSerVq1gra2tkqdtLQ0XLx4UarTrl07ZGZm4tSpU1KdkydPIjMzU6XOxYsXkZaWJtXZt28f5HI5WrVqVav9VAchBAIDAxEREYGDBw/C3t5e5TrH/tURQiA3N5djXos6d+6MCxcuID4+Xjo8PDzg5+eH+Ph4NGzYkGP/CuTm5iIhIQGWlpb8ea8Jr+5dUaJ/luKtDX/88Udx6dIlMXHiRGFgYCBSUlLUHdpr6dGjR+Ls2bPi7NmzAoBYtmyZOHv2rLQV5JIlS4RSqRQRERHiwoULYsCAAaVufWVjYyMOHDggzpw5Izp16lTq1lctWrQQx48fF8ePHxcuLi6lbn3VuXNncebMGXHgwAFhY2Pzj9/6qiwff/yxUCqVIjo6WmXbscePH0t1OPY1LygoSPzxxx8iOTlZnD9/XsyaNUtoaGiIffv2CSE45q/S87upCMGxrw1TpkwR0dHR4vr16+LEiROiR48ewtDQUPr/Ice8epiME5Vj1apVokGDBkJHR0e4u7tL28VRSYcOHRIAShxDhw4VQjzb/io4OFhYWFgIuVwuOnToIC5cuKDSxpMnT0RgYKCoU6eO0NPTEz169BCpqakqdTIyMoSfn58wNDQUhoaGws/PTzx48EClzo0bN0T37t2Fnp6eqFOnjggMDBRPnz6tze6rTWljDkCEhYVJdTj2NS8gIED6b4O5ubno3LmzlIgLwTF/lV5Mxjn2Na9433BtbW1hZWUl+vbtK/7880/pOse8emRCCKGeOXkiIiIion83rhknIiIiIlITJuNERERERGrCZJyIiIiISE2YjBMRERERqQmTcSIiIiIiNWEyTkRERESkJkzGiYiIiIjUhMk4EREREZGaMBknIqI3kp2dHVasWKHuMF4qJCQEbm5ur007RPRqMRknIqJaJZPJyj38/f1fev/OnTtrPK6QkBApBk1NTdja2mLEiBH4+++/a/xZNa20MZk6dSqioqLUExARVZmWugMgIqI3W1pamvT1L7/8gk8//RSJiYlSmZ6enjrCAgA0b94cBw4cQGFhIc6ePYvhw4fj9u3b+P3339UWU1UpFAooFAp1h0FElcSZcSIiqlUWFhbSoVQqIZPJVMp+/vlnNGrUCDo6OmjSpAk2bNgg3WtnZwcA6NOnD2QymXSelJSEXr16oV69elAoFGjdujUOHDhQ6di0tLRgYWEBa2tr9OjRA+PHj8e+ffvw5MkTFBUV4bPPPoONjQ3kcjnc3NywZ88e6d6UlBTIZDJs2bIFnp6e0NXVRfPmzREdHS3VCQ8Ph7Gxscozd+7cCZlMVmZMsbGx6Nq1K8zMzKBUKvHOO+/gzJkzLx2TF5epVDT+iIgIeHl5QV9fH66urjh+/Hilx5GIqo7JOBERqc2OHTswYcIETJkyBRcvXsTo0aMxbNgwHDp0CMCzxBQAwsLCkJaWJp1nZ2fD19cXBw4cwNmzZ+Ht7Y2ePXsiNTW1WvHo6emhqKgIBQUF+OqrrxAaGoovv/wS58+fh7e3N9577z1cvXpV5Z5p06ZhypQpOHv2LDw9PfHee+8hIyOjyjE8evQIQ4cORUxMDE6cOIHGjRvD19cXjx49AlD2mLyoovHPnj0bU6dORXx8PBwdHTFgwAAUFBRUOX4iqiRBRET0ioSFhQmlUimde3p6ipEjR6rU+eCDD4Svr690DkDs2LHjpW07OTmJlStXSucNGjQQy5cvL7N+cHCwcHV1lc4TEhKEg4ODaNOmjRBCCCsrK7Fw4UKVe1q3bi3Gjh0rhBAiOTlZABBLliyRrufn5wsbGxuxdOnSUvsrhBA7duwQz//v98U4XlRQUCAMDQ3F//73P6mstDF5sZ2Kxv/DDz9I1//8808BQCQkJJQZDxHVLM6MExGR2iQkJKB9+/YqZe3bt0dCQkK59+Xk5GD69OlwcnKCsbExFAoFLl++XOmZ8QsXLkChUEBPTw9OTk6wtbXFpk2bkJWVhTt37lQotnbt2klfa2lpwcPD46Xxlyc9PR1jxoyBo6MjlEollEolsrOzK9W3ysTfokUL6WtLS0spBiJ6NfgCJxERqdWL66eFEOWuqQaeLQ3Zu3cvvvzySzg4OEBPTw/vv/8+8vLyKvXsJk2aIDIyEpqamrCysoJcLgfwLJmtamzP36ehoQEhhMq1/Pz8cu/19/fH33//jRUrVqBBgwaQy+Vo165dpfv2fBzFSotfW1u7RP2ioqJKP4uIqoYz40REpDbNmjXDkSNHVMqOHTuGZs2aSefa2tooLCxUqRMTEwN/f3/06dMHLi4usLCwQEpKSqWfr6OjAwcHB9jb20uJOAAYGRnBysrqpbEBwIkTJ6SvCwoKEBcXh6ZNmwIAzM3N8ejRI+Tk5Eh14uPjy40pJiYG48ePh6+vL5o3bw65XI579+6p1CltTJ5XmfiJSL04M05ERGozbdo0fPjhh3B3d0fnzp3xv//9DxERESo7o9jZ2SEqKgrt27eHXC6HiYkJHBwcEBERgZ49e0Imk2Hu3Lk1Pps7bdo0BAcHo1GjRnBzc0NYWBji4+OxadMmlXqrVq1C48aN0axZMyxfvhwPHjxAQEAAAKBt27bQ19fHrFmzMG7cOJw6dQrh4eHlPtfBwQEbNmyAh4cHsrKyMG3atBLbP5Y2JlWNn4jUizPjRESkNr1798ZXX32FL774As2bN8e3336LsLAwdOzYUaoTGhqK/fv3w9bWFi1btgQALF++HCYmJvD09ETPnj3h7e0Nd3f3Go1t/PjxmDJlCqZMmQIXFxfs2bMHkZGRaNy4sUq9JUuWYOnSpXB1dUVMTAx+/fVXmJmZAQDq1KmDjRs3Yvfu3XBxccHmzZsREhJS7nPXrVuHBw8eoGXLlhg8eDDGjx+PunXrqtQpbUyqGj8RqZdMvLiYjYiIiF4qJSUF9vb2OHv2LD+GnoiqjDPjRERERERqwmSciIiIiEhNuEyFiIiIiEhNODNORERERKQmTMaJiIiIiNSEyTgRERERkZowGSciIiIiUhMm40REREREasJknIiIiIhITZiMExERERGpCZNxIiIiIiI1+X9huD7wJ+tH+gAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create the bar plot\n",
    "plt.figure(figsize=(15, 6))\n",
    "plt.subplot(2,2,1)\n",
    "sns.barplot(x=\"2010\", y=\"Country Name\", data=total_bottom_ten_countries, palette=\"coolwarm\")\n",
    "plt.title(\"Top Ten Countries of Total Population (2010)\",fontsize=10)\n",
    "plt.xlabel(\"Total Population\",fontsize=10)\n",
    "plt.ylabel(\"Country\",fontsize=10)\n",
    "plt.show()\n",
    "\n",
    "plt.figure(figsize=(15, 6))\n",
    "plt.subplot(2,2,2)\n",
    "sns.barplot(x=\"2001\", y=\"Country Name\", data=total_bottom_ten_countries, palette=\"coolwarm\")\n",
    "plt.title(\"Top Ten Countries with Total Population (2001)\",fontsize=10)\n",
    "plt.xlabel(\"Total Population\",fontsize=10)\n",
    "plt.ylabel(\"Country\",fontsize=10)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "614e208b",
   "metadata": {},
   "source": [
    " ## Extraction of top ten countries with highest male population"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "id": "0c3041c8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Top ten countries of male population\n",
      "           Country Name\n",
      "523               India\n",
      "475               China\n",
      "640       United States\n",
      "524           Indonesia\n",
      "583            Pakistan\n",
      "578             Nigeria\n",
      "460              Brazil\n",
      "449          Bangladesh\n",
      "595  Russian Federation\n",
      "561              Mexico\n"
     ]
    }
   ],
   "source": [
    "# Filter data for male population\n",
    "male_population_data = df[df[\"Series Code\"] == \"SP.POP.TOTL.MA.IN\"]\n",
    "\n",
    "# Sort data based on the male population for 2022\n",
    "male_population_sorted = male_population_data.sort_values(by=\"2022\", ascending=False)\n",
    "\n",
    "# Get the top ten countries with the highest male population for 2022\n",
    "male_top_ten_countries = male_population_sorted.head(10)\n",
    "print(\"Top ten countries of male population\")\n",
    "print(male_top_ten_countries[['Country Name']] )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6ee29a8",
   "metadata": {},
   "source": [
    "## Extraction of top ten countries with highest female population"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "7f369b40",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Top ten countries of female population\n",
      "           Country Name\n",
      "258               China\n",
      "306               India\n",
      "423       United States\n",
      "307           Indonesia\n",
      "366            Pakistan\n",
      "243              Brazil\n",
      "361             Nigeria\n",
      "232          Bangladesh\n",
      "378  Russian Federation\n",
      "344              Mexico\n"
     ]
    }
   ],
   "source": [
    "# Filter data for female population\n",
    "female_population_data = df[df[\"Series Code\"] == \"SP.POP.TOTL.FE.IN\"]\n",
    "\n",
    "# Sort data based on the female population for 2022\n",
    "female_population_sorted = female_population_data.sort_values(by=\"2022\", ascending=False)\n",
    "\n",
    "# Get the top ten countries with the highest female population for 2022\n",
    "female_top_ten_countries = female_population_sorted.head(10)\n",
    "print(\"Top ten countries of female population\")\n",
    "print(female_top_ten_countries[['Country Name']] )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad68fee1",
   "metadata": {},
   "source": [
    "## Top ten countries with highest male and female population in 2022"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "id": "5e616209",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create the bar plot\n",
    "plt.figure(figsize=(15, 6))\n",
    "plt.subplot(2,2,1)\n",
    "sns.barplot(x=\"2022\", y=\"Country Name\", data=male_top_ten_countries, palette=\"viridis\")\n",
    "plt.title(\"Top Ten Countries with Highest Male Population (2022)\",size=10)\n",
    "plt.xlabel(\"Male Population\",size=10)\n",
    "plt.ylabel(\"Country\",size=10)\n",
    "plt.show()\n",
    "\n",
    "plt.figure(figsize=(15, 6))\n",
    "plt.subplot(2,2,2)\n",
    "sns.barplot(x=\"2022\", y=\"Country Name\", data=female_top_ten_countries, palette=\"viridis\")\n",
    "plt.title(\"Top Ten Countries with Highest Female Population (2022)\",size=10)\n",
    "plt.xlabel(\"Female Population\",size=10)\n",
    "plt.ylabel(\"Country\",size=10)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e1b4e9b",
   "metadata": {},
   "source": [
    "## Extraction of top ten countries with lowest male population"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "id": "0f51daba",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Top ten countries of lowest male population\n",
      "                 Country Name\n",
      "558          Marshall Islands\n",
      "548             Liechtenstein\n",
      "564                    Monaco\n",
      "598                San Marino\n",
      "509                 Gibraltar\n",
      "617  St. Martin (French part)\n",
      "461    British Virgin Islands\n",
      "584                     Palau\n",
      "571                     Nauru\n",
      "635                    Tuvalu\n"
     ]
    }
   ],
   "source": [
    "male_lowest_ten_countries = male_population_sorted.tail(10)\n",
    "print(\"Top ten countries of lowest male population\")\n",
    "print(male_lowest_ten_countries[['Country Name']] )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2efbab3",
   "metadata": {},
   "source": [
    "## Extraction of top ten countries with lowest female population"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "id": "d3579aea",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Top ten countries of lowest female population\n",
      "                  Country Name\n",
      "389  Sint Maarten (Dutch part)\n",
      "331              Liechtenstein\n",
      "347                     Monaco\n",
      "381                 San Marino\n",
      "400   St. Martin (French part)\n",
      "292                  Gibraltar\n",
      "244     British Virgin Islands\n",
      "367                      Palau\n",
      "354                      Nauru\n",
      "418                     Tuvalu\n"
     ]
    }
   ],
   "source": [
    "female_lowest_ten_countries = female_population_sorted.tail(10)\n",
    "print(\"Top ten countries of lowest female population\")\n",
    "print(female_lowest_ten_countries[['Country Name']] )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c81caef5",
   "metadata": {},
   "source": [
    "## Top ten countries with lowest male and female population in 2022"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "id": "2760585c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create the bar plot\n",
    "plt.figure(figsize=(15, 6))\n",
    "plt.subplot(2,2,1)\n",
    "sns.barplot(x=\"2022\", y=\"Country Name\", data=male_lowest_ten_countries, palette=\"viridis\")\n",
    "plt.title(\"Top Ten Countries with Lowest Male Population (2022)\",size=10)\n",
    "plt.xlabel(\"Male Population\",size=10)\n",
    "plt.ylabel(\"Country\",size=10)\n",
    "plt.show()\n",
    "\n",
    "plt.figure(figsize=(15, 6))\n",
    "plt.subplot(2,2,2)\n",
    "sns.barplot(x=\"2022\", y=\"Country Name\", data=female_lowest_ten_countries, palette=\"viridis\")\n",
    "plt.title(\"Top Ten Countries with Lowest Female Population (2022)\",size=10)\n",
    "plt.xlabel(\"Female Population\",size=10)\n",
    "plt.ylabel(\"Country\",size=10)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5524dbf",
   "metadata": {},
   "source": [
    "# Stacked Bar Plot\n",
    "\n",
    "## Top 10 Countries with Male and Female Populations (2022)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "e7114e9c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Merge male and female population data on 'Country Name'\n",
    "merged_data = pd.merge(male_population_data, female_population_data, on=\"Country Name\", suffixes=(\"_male\", \"_female\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "id": "677f86b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Series Code_male</th>\n",
       "      <th>Country Name</th>\n",
       "      <th>2022_male</th>\n",
       "      <th>2021_male</th>\n",
       "      <th>2020_male</th>\n",
       "      <th>2019_male</th>\n",
       "      <th>2018_male</th>\n",
       "      <th>2017_male</th>\n",
       "      <th>2016_male</th>\n",
       "      <th>2015_male</th>\n",
       "      <th>...</th>\n",
       "      <th>2010_female</th>\n",
       "      <th>2009_female</th>\n",
       "      <th>2008_female</th>\n",
       "      <th>2007_female</th>\n",
       "      <th>2006_female</th>\n",
       "      <th>2005_female</th>\n",
       "      <th>2004_female</th>\n",
       "      <th>2003_female</th>\n",
       "      <th>2002_female</th>\n",
       "      <th>2001_female</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SP.POP.TOTL.MA.IN</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>20766442.0</td>\n",
       "      <td>20254878.0</td>\n",
       "      <td>19692301.0</td>\n",
       "      <td>19090409.0</td>\n",
       "      <td>18549862.0</td>\n",
       "      <td>18028696.0</td>\n",
       "      <td>17520861.0</td>\n",
       "      <td>17071446.0</td>\n",
       "      <td>...</td>\n",
       "      <td>13949295.0</td>\n",
       "      <td>13557331.0</td>\n",
       "      <td>13088192.0</td>\n",
       "      <td>12835340.0</td>\n",
       "      <td>12614497.0</td>\n",
       "      <td>12109086.0</td>\n",
       "      <td>11690825.0</td>\n",
       "      <td>11247647.0</td>\n",
       "      <td>10438055.0</td>\n",
       "      <td>9793166.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SP.POP.TOTL.MA.IN</td>\n",
       "      <td>Albania</td>\n",
       "      <td>1384548.0</td>\n",
       "      <td>1404454.0</td>\n",
       "      <td>1419264.0</td>\n",
       "      <td>1428828.0</td>\n",
       "      <td>1435881.0</td>\n",
       "      <td>1440219.0</td>\n",
       "      <td>1442176.0</td>\n",
       "      <td>1444890.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1454108.0</td>\n",
       "      <td>1462978.0</td>\n",
       "      <td>1474838.0</td>\n",
       "      <td>1488396.0</td>\n",
       "      <td>1501918.0</td>\n",
       "      <td>1513578.0</td>\n",
       "      <td>1523393.0</td>\n",
       "      <td>1531532.0</td>\n",
       "      <td>1538490.0</td>\n",
       "      <td>1543533.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SP.POP.TOTL.MA.IN</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>22862237.0</td>\n",
       "      <td>22497244.0</td>\n",
       "      <td>22132899.0</td>\n",
       "      <td>21756903.0</td>\n",
       "      <td>21362603.0</td>\n",
       "      <td>20961313.0</td>\n",
       "      <td>20556314.0</td>\n",
       "      <td>20152232.0</td>\n",
       "      <td>...</td>\n",
       "      <td>17573708.0</td>\n",
       "      <td>17249096.0</td>\n",
       "      <td>16941031.0</td>\n",
       "      <td>16653361.0</td>\n",
       "      <td>16384158.0</td>\n",
       "      <td>16150274.0</td>\n",
       "      <td>15932047.0</td>\n",
       "      <td>15709725.0</td>\n",
       "      <td>15497822.0</td>\n",
       "      <td>15288132.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SP.POP.TOTL.MA.IN</td>\n",
       "      <td>American Samoa</td>\n",
       "      <td>21873.0</td>\n",
       "      <td>22289.0</td>\n",
       "      <td>22921.0</td>\n",
       "      <td>23535.0</td>\n",
       "      <td>24134.0</td>\n",
       "      <td>24701.0</td>\n",
       "      <td>25240.0</td>\n",
       "      <td>25739.0</td>\n",
       "      <td>...</td>\n",
       "      <td>27189.0</td>\n",
       "      <td>27406.0</td>\n",
       "      <td>27626.0</td>\n",
       "      <td>27842.0</td>\n",
       "      <td>28044.0</td>\n",
       "      <td>28230.0</td>\n",
       "      <td>28392.0</td>\n",
       "      <td>28521.0</td>\n",
       "      <td>28608.0</td>\n",
       "      <td>28649.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SP.POP.TOTL.MA.IN</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>40786.0</td>\n",
       "      <td>40361.0</td>\n",
       "      <td>39615.0</td>\n",
       "      <td>38842.0</td>\n",
       "      <td>38071.0</td>\n",
       "      <td>37380.0</td>\n",
       "      <td>36628.0</td>\n",
       "      <td>36188.0</td>\n",
       "      <td>...</td>\n",
       "      <td>35212.0</td>\n",
       "      <td>36065.0</td>\n",
       "      <td>36864.0</td>\n",
       "      <td>37633.0</td>\n",
       "      <td>38392.0</td>\n",
       "      <td>38147.0</td>\n",
       "      <td>36852.0</td>\n",
       "      <td>35478.0</td>\n",
       "      <td>34076.0</td>\n",
       "      <td>32669.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>SP.POP.TOTL.MA.IN</td>\n",
       "      <td>Virgin Islands (U.S.)</td>\n",
       "      <td>49137.0</td>\n",
       "      <td>49510.0</td>\n",
       "      <td>49866.0</td>\n",
       "      <td>50196.0</td>\n",
       "      <td>50489.0</td>\n",
       "      <td>50759.0</td>\n",
       "      <td>50999.0</td>\n",
       "      <td>51208.0</td>\n",
       "      <td>...</td>\n",
       "      <td>56560.0</td>\n",
       "      <td>56549.0</td>\n",
       "      <td>56507.0</td>\n",
       "      <td>56467.0</td>\n",
       "      <td>56492.0</td>\n",
       "      <td>56555.0</td>\n",
       "      <td>56593.0</td>\n",
       "      <td>56652.0</td>\n",
       "      <td>56692.0</td>\n",
       "      <td>56744.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>SP.POP.TOTL.MA.IN</td>\n",
       "      <td>West Bank and Gaza</td>\n",
       "      <td>2516444.0</td>\n",
       "      <td>2455361.0</td>\n",
       "      <td>2394860.0</td>\n",
       "      <td>2334948.0</td>\n",
       "      <td>2275925.0</td>\n",
       "      <td>2217868.0</td>\n",
       "      <td>2173706.0</td>\n",
       "      <td>2125660.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1897763.0</td>\n",
       "      <td>1848287.0</td>\n",
       "      <td>1798811.0</td>\n",
       "      <td>1749079.0</td>\n",
       "      <td>1703735.0</td>\n",
       "      <td>1659247.0</td>\n",
       "      <td>1615402.0</td>\n",
       "      <td>1572199.0</td>\n",
       "      <td>1530053.0</td>\n",
       "      <td>1489250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>SP.POP.TOTL.MA.IN</td>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>17023203.0</td>\n",
       "      <td>16668432.0</td>\n",
       "      <td>16320979.0</td>\n",
       "      <td>15953578.0</td>\n",
       "      <td>15578957.0</td>\n",
       "      <td>15202496.0</td>\n",
       "      <td>14820156.0</td>\n",
       "      <td>14439156.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12224951.0</td>\n",
       "      <td>11874775.0</td>\n",
       "      <td>11531790.0</td>\n",
       "      <td>11195418.0</td>\n",
       "      <td>10864747.0</td>\n",
       "      <td>10548931.0</td>\n",
       "      <td>10262472.0</td>\n",
       "      <td>9997157.0</td>\n",
       "      <td>9739899.0</td>\n",
       "      <td>9488026.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>SP.POP.TOTL.MA.IN</td>\n",
       "      <td>Zambia</td>\n",
       "      <td>9877642.0</td>\n",
       "      <td>9609004.0</td>\n",
       "      <td>9338613.0</td>\n",
       "      <td>9066397.0</td>\n",
       "      <td>8794716.0</td>\n",
       "      <td>8525934.0</td>\n",
       "      <td>8260471.0</td>\n",
       "      <td>8000338.0</td>\n",
       "      <td>...</td>\n",
       "      <td>7026189.0</td>\n",
       "      <td>6794701.0</td>\n",
       "      <td>6569350.0</td>\n",
       "      <td>6351748.0</td>\n",
       "      <td>6144175.0</td>\n",
       "      <td>5947650.0</td>\n",
       "      <td>5764425.0</td>\n",
       "      <td>5593084.0</td>\n",
       "      <td>5431354.0</td>\n",
       "      <td>5276383.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>SP.POP.TOTL.MA.IN</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>7705601.0</td>\n",
       "      <td>7543690.0</td>\n",
       "      <td>7385220.0</td>\n",
       "      <td>7231989.0</td>\n",
       "      <td>7086002.0</td>\n",
       "      <td>6940631.0</td>\n",
       "      <td>6796658.0</td>\n",
       "      <td>6652836.0</td>\n",
       "      <td>...</td>\n",
       "      <td>6805605.0</td>\n",
       "      <td>6714016.0</td>\n",
       "      <td>6638373.0</td>\n",
       "      <td>6578079.0</td>\n",
       "      <td>6511613.0</td>\n",
       "      <td>6450827.0</td>\n",
       "      <td>6405855.0</td>\n",
       "      <td>6353380.0</td>\n",
       "      <td>6300516.0</td>\n",
       "      <td>6257972.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>217 rows × 47 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Series Code_male           Country Name   2022_male   2021_male  \\\n",
       "0    SP.POP.TOTL.MA.IN            Afghanistan  20766442.0  20254878.0   \n",
       "1    SP.POP.TOTL.MA.IN                Albania   1384548.0   1404454.0   \n",
       "2    SP.POP.TOTL.MA.IN                Algeria  22862237.0  22497244.0   \n",
       "3    SP.POP.TOTL.MA.IN         American Samoa     21873.0     22289.0   \n",
       "4    SP.POP.TOTL.MA.IN                Andorra     40786.0     40361.0   \n",
       "..                 ...                    ...         ...         ...   \n",
       "212  SP.POP.TOTL.MA.IN  Virgin Islands (U.S.)     49137.0     49510.0   \n",
       "213  SP.POP.TOTL.MA.IN     West Bank and Gaza   2516444.0   2455361.0   \n",
       "214  SP.POP.TOTL.MA.IN            Yemen, Rep.  17023203.0  16668432.0   \n",
       "215  SP.POP.TOTL.MA.IN                 Zambia   9877642.0   9609004.0   \n",
       "216  SP.POP.TOTL.MA.IN               Zimbabwe   7705601.0   7543690.0   \n",
       "\n",
       "      2020_male   2019_male   2018_male   2017_male   2016_male   2015_male  \\\n",
       "0    19692301.0  19090409.0  18549862.0  18028696.0  17520861.0  17071446.0   \n",
       "1     1419264.0   1428828.0   1435881.0   1440219.0   1442176.0   1444890.0   \n",
       "2    22132899.0  21756903.0  21362603.0  20961313.0  20556314.0  20152232.0   \n",
       "3       22921.0     23535.0     24134.0     24701.0     25240.0     25739.0   \n",
       "4       39615.0     38842.0     38071.0     37380.0     36628.0     36188.0   \n",
       "..          ...         ...         ...         ...         ...         ...   \n",
       "212     49866.0     50196.0     50489.0     50759.0     50999.0     51208.0   \n",
       "213   2394860.0   2334948.0   2275925.0   2217868.0   2173706.0   2125660.0   \n",
       "214  16320979.0  15953578.0  15578957.0  15202496.0  14820156.0  14439156.0   \n",
       "215   9338613.0   9066397.0   8794716.0   8525934.0   8260471.0   8000338.0   \n",
       "216   7385220.0   7231989.0   7086002.0   6940631.0   6796658.0   6652836.0   \n",
       "\n",
       "     ...  2010_female  2009_female  2008_female  2007_female  2006_female  \\\n",
       "0    ...   13949295.0   13557331.0   13088192.0   12835340.0   12614497.0   \n",
       "1    ...    1454108.0    1462978.0    1474838.0    1488396.0    1501918.0   \n",
       "2    ...   17573708.0   17249096.0   16941031.0   16653361.0   16384158.0   \n",
       "3    ...      27189.0      27406.0      27626.0      27842.0      28044.0   \n",
       "4    ...      35212.0      36065.0      36864.0      37633.0      38392.0   \n",
       "..   ...          ...          ...          ...          ...          ...   \n",
       "212  ...      56560.0      56549.0      56507.0      56467.0      56492.0   \n",
       "213  ...    1897763.0    1848287.0    1798811.0    1749079.0    1703735.0   \n",
       "214  ...   12224951.0   11874775.0   11531790.0   11195418.0   10864747.0   \n",
       "215  ...    7026189.0    6794701.0    6569350.0    6351748.0    6144175.0   \n",
       "216  ...    6805605.0    6714016.0    6638373.0    6578079.0    6511613.0   \n",
       "\n",
       "     2005_female  2004_female  2003_female  2002_female  2001_female  \n",
       "0     12109086.0   11690825.0   11247647.0   10438055.0    9793166.0  \n",
       "1      1513578.0    1523393.0    1531532.0    1538490.0    1543533.0  \n",
       "2     16150274.0   15932047.0   15709725.0   15497822.0   15288132.0  \n",
       "3        28230.0      28392.0      28521.0      28608.0      28649.0  \n",
       "4        38147.0      36852.0      35478.0      34076.0      32669.0  \n",
       "..           ...          ...          ...          ...          ...  \n",
       "212      56555.0      56593.0      56652.0      56692.0      56744.0  \n",
       "213    1659247.0    1615402.0    1572199.0    1530053.0    1489250.0  \n",
       "214   10548931.0   10262472.0    9997157.0    9739899.0    9488026.0  \n",
       "215    5947650.0    5764425.0    5593084.0    5431354.0    5276383.0  \n",
       "216    6450827.0    6405855.0    6353380.0    6300516.0    6257972.0  \n",
       "\n",
       "[217 rows x 47 columns]"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "id": "c9a6aee5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the total population for each country (male + female)\n",
    "merged_data[\"Total Population\"] = merged_data[\"2022_male\"] + merged_data[\"2022_female\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "id": "ae36d2c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Series Code_male</th>\n",
       "      <th>Country Name</th>\n",
       "      <th>2022_male</th>\n",
       "      <th>2021_male</th>\n",
       "      <th>2020_male</th>\n",
       "      <th>2019_male</th>\n",
       "      <th>2018_male</th>\n",
       "      <th>2017_male</th>\n",
       "      <th>2016_male</th>\n",
       "      <th>2015_male</th>\n",
       "      <th>...</th>\n",
       "      <th>2009_female</th>\n",
       "      <th>2008_female</th>\n",
       "      <th>2007_female</th>\n",
       "      <th>2006_female</th>\n",
       "      <th>2005_female</th>\n",
       "      <th>2004_female</th>\n",
       "      <th>2003_female</th>\n",
       "      <th>2002_female</th>\n",
       "      <th>2001_female</th>\n",
       "      <th>Total Population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SP.POP.TOTL.MA.IN</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>20766442.0</td>\n",
       "      <td>20254878.0</td>\n",
       "      <td>19692301.0</td>\n",
       "      <td>19090409.0</td>\n",
       "      <td>18549862.0</td>\n",
       "      <td>18028696.0</td>\n",
       "      <td>17520861.0</td>\n",
       "      <td>17071446.0</td>\n",
       "      <td>...</td>\n",
       "      <td>13557331.0</td>\n",
       "      <td>13088192.0</td>\n",
       "      <td>12835340.0</td>\n",
       "      <td>12614497.0</td>\n",
       "      <td>12109086.0</td>\n",
       "      <td>11690825.0</td>\n",
       "      <td>11247647.0</td>\n",
       "      <td>10438055.0</td>\n",
       "      <td>9793166.0</td>\n",
       "      <td>41128771.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SP.POP.TOTL.MA.IN</td>\n",
       "      <td>Albania</td>\n",
       "      <td>1384548.0</td>\n",
       "      <td>1404454.0</td>\n",
       "      <td>1419264.0</td>\n",
       "      <td>1428828.0</td>\n",
       "      <td>1435881.0</td>\n",
       "      <td>1440219.0</td>\n",
       "      <td>1442176.0</td>\n",
       "      <td>1444890.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1462978.0</td>\n",
       "      <td>1474838.0</td>\n",
       "      <td>1488396.0</td>\n",
       "      <td>1501918.0</td>\n",
       "      <td>1513578.0</td>\n",
       "      <td>1523393.0</td>\n",
       "      <td>1531532.0</td>\n",
       "      <td>1538490.0</td>\n",
       "      <td>1543533.0</td>\n",
       "      <td>2775633.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SP.POP.TOTL.MA.IN</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>22862237.0</td>\n",
       "      <td>22497244.0</td>\n",
       "      <td>22132899.0</td>\n",
       "      <td>21756903.0</td>\n",
       "      <td>21362603.0</td>\n",
       "      <td>20961313.0</td>\n",
       "      <td>20556314.0</td>\n",
       "      <td>20152232.0</td>\n",
       "      <td>...</td>\n",
       "      <td>17249096.0</td>\n",
       "      <td>16941031.0</td>\n",
       "      <td>16653361.0</td>\n",
       "      <td>16384158.0</td>\n",
       "      <td>16150274.0</td>\n",
       "      <td>15932047.0</td>\n",
       "      <td>15709725.0</td>\n",
       "      <td>15497822.0</td>\n",
       "      <td>15288132.0</td>\n",
       "      <td>44903224.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SP.POP.TOTL.MA.IN</td>\n",
       "      <td>American Samoa</td>\n",
       "      <td>21873.0</td>\n",
       "      <td>22289.0</td>\n",
       "      <td>22921.0</td>\n",
       "      <td>23535.0</td>\n",
       "      <td>24134.0</td>\n",
       "      <td>24701.0</td>\n",
       "      <td>25240.0</td>\n",
       "      <td>25739.0</td>\n",
       "      <td>...</td>\n",
       "      <td>27406.0</td>\n",
       "      <td>27626.0</td>\n",
       "      <td>27842.0</td>\n",
       "      <td>28044.0</td>\n",
       "      <td>28230.0</td>\n",
       "      <td>28392.0</td>\n",
       "      <td>28521.0</td>\n",
       "      <td>28608.0</td>\n",
       "      <td>28649.0</td>\n",
       "      <td>44272.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SP.POP.TOTL.MA.IN</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>40786.0</td>\n",
       "      <td>40361.0</td>\n",
       "      <td>39615.0</td>\n",
       "      <td>38842.0</td>\n",
       "      <td>38071.0</td>\n",
       "      <td>37380.0</td>\n",
       "      <td>36628.0</td>\n",
       "      <td>36188.0</td>\n",
       "      <td>...</td>\n",
       "      <td>36065.0</td>\n",
       "      <td>36864.0</td>\n",
       "      <td>37633.0</td>\n",
       "      <td>38392.0</td>\n",
       "      <td>38147.0</td>\n",
       "      <td>36852.0</td>\n",
       "      <td>35478.0</td>\n",
       "      <td>34076.0</td>\n",
       "      <td>32669.0</td>\n",
       "      <td>79824.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 48 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Series Code_male    Country Name   2022_male   2021_male   2020_male  \\\n",
       "0  SP.POP.TOTL.MA.IN     Afghanistan  20766442.0  20254878.0  19692301.0   \n",
       "1  SP.POP.TOTL.MA.IN         Albania   1384548.0   1404454.0   1419264.0   \n",
       "2  SP.POP.TOTL.MA.IN         Algeria  22862237.0  22497244.0  22132899.0   \n",
       "3  SP.POP.TOTL.MA.IN  American Samoa     21873.0     22289.0     22921.0   \n",
       "4  SP.POP.TOTL.MA.IN         Andorra     40786.0     40361.0     39615.0   \n",
       "\n",
       "    2019_male   2018_male   2017_male   2016_male   2015_male  ...  \\\n",
       "0  19090409.0  18549862.0  18028696.0  17520861.0  17071446.0  ...   \n",
       "1   1428828.0   1435881.0   1440219.0   1442176.0   1444890.0  ...   \n",
       "2  21756903.0  21362603.0  20961313.0  20556314.0  20152232.0  ...   \n",
       "3     23535.0     24134.0     24701.0     25240.0     25739.0  ...   \n",
       "4     38842.0     38071.0     37380.0     36628.0     36188.0  ...   \n",
       "\n",
       "   2009_female  2008_female  2007_female  2006_female  2005_female  \\\n",
       "0   13557331.0   13088192.0   12835340.0   12614497.0   12109086.0   \n",
       "1    1462978.0    1474838.0    1488396.0    1501918.0    1513578.0   \n",
       "2   17249096.0   16941031.0   16653361.0   16384158.0   16150274.0   \n",
       "3      27406.0      27626.0      27842.0      28044.0      28230.0   \n",
       "4      36065.0      36864.0      37633.0      38392.0      38147.0   \n",
       "\n",
       "   2004_female  2003_female  2002_female  2001_female  Total Population  \n",
       "0   11690825.0   11247647.0   10438055.0    9793166.0        41128771.0  \n",
       "1    1523393.0    1531532.0    1538490.0    1543533.0         2775633.0  \n",
       "2   15932047.0   15709725.0   15497822.0   15288132.0        44903224.0  \n",
       "3      28392.0      28521.0      28608.0      28649.0           44272.0  \n",
       "4      36852.0      35478.0      34076.0      32669.0           79824.0  \n",
       "\n",
       "[5 rows x 48 columns]"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "id": "fb4232a9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Sort data based on total population in descending order\n",
    "sorted_data = merged_data.sort_values(by=\"Total Population\", ascending=False)\n",
    "\n",
    "# Select the top 10 countries with the highest total population\n",
    "top_10_countries = sorted_data.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "id": "21b613ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create the stacked bar plot\n",
    "plt.figure(figsize=(12, 6))\n",
    "\n",
    "sns.barplot(x=\"Country Name\", y=\"2022_female\", data=top_10_countries, color=\"red\", label=\"Female Population\")\n",
    "sns.barplot(x=\"Country Name\", y=\"2022_male\", data=top_10_countries, bottom=top_10_countries[\"2022_female\"], color=\"green\", label=\"Male Population\")\n",
    "plt.title(\"Top 10 Countries with Male and Female Populations (2022)\")\n",
    "plt.xlabel(\"Country\")\n",
    "plt.ylabel(\"Population\")\n",
    "plt.legend()\n",
    "plt.xticks(rotation=45, ha=\"right\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "599c44f7",
   "metadata": {},
   "source": [
    "## Bottom 10 Countries with Male and Female Populations (2022)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "id": "70feb5d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Select the top 10 countries with the highest total population\n",
    "bottom_10_countries = sorted_data.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "id": "a0e8770a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create the stacked bar plot\n",
    "plt.figure(figsize=(12, 6))\n",
    "\n",
    "sns.barplot(x=\"Country Name\", y=\"2022_female\", data=bottom_10_countries, color=\"red\", label=\"Female Population\")\n",
    "sns.barplot(x=\"Country Name\", y=\"2022_male\", data=bottom_10_countries, bottom=bottom_10_countries[\"2022_female\"], color=\"green\", label=\"Male Population\")\n",
    "plt.title(\"Bottom 10 Countries with Male and Female Populations (2022)\")\n",
    "plt.xlabel(\"Country\")\n",
    "plt.ylabel(\"Population\")\n",
    "plt.legend()\n",
    "plt.xticks(rotation=45, ha=\"right\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b590b4bc",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}