Article 1 - World Population Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# World Population Data Analysis\n",
    "In this tutorial we will using Python to conduct basic data analysis on a World Population data set. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preliminary Steps\n",
    "Import libraries needed for data analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Read in data from the csv file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method NDFrame.head of       Country Name Country Code  Year      Value\n",
       "0       Arab World          ARB  1960   92197753\n",
       "1       Arab World          ARB  1961   94724510\n",
       "2       Arab World          ARB  1962   97334442\n",
       "3       Arab World          ARB  1963  100034179\n",
       "4       Arab World          ARB  1964  102832760\n",
       "5       Arab World          ARB  1965  105736431\n",
       "6       Arab World          ARB  1966  108758610\n",
       "7       Arab World          ARB  1967  111899364\n",
       "8       Arab World          ARB  1968  115136178\n",
       "9       Arab World          ARB  1969  118437195\n",
       "10      Arab World          ARB  1970  121785650\n",
       "11      Arab World          ARB  1971  125164745\n",
       "12      Arab World          ARB  1972  128598734\n",
       "13      Arab World          ARB  1973  132161298\n",
       "14      Arab World          ARB  1974  135952252\n",
       "15      Arab World          ARB  1975  140040649\n",
       "16      Arab World          ARB  1976  144453278\n",
       "17      Arab World          ARB  1977  149161891\n",
       "18      Arab World          ARB  1978  154111175\n",
       "19      Arab World          ARB  1979  159218552\n",
       "20      Arab World          ARB  1980  164420785\n",
       "21      Arab World          ARB  1981  169698994\n",
       "22      Arab World          ARB  1982  175061792\n",
       "23      Arab World          ARB  1983  180505996\n",
       "24      Arab World          ARB  1984  186035305\n",
       "25      Arab World          ARB  1985  191650331\n",
       "26      Arab World          ARB  1986  197338142\n",
       "27      Arab World          ARB  1987  203084971\n",
       "28      Arab World          ARB  1988  208889682\n",
       "29      Arab World          ARB  1989  214753970\n",
       "...            ...          ...   ...        ...\n",
       "15379     Zimbabwe          ZWE  1989   10153852\n",
       "15380     Zimbabwe          ZWE  1990   10432421\n",
       "15381     Zimbabwe          ZWE  1991   10680995\n",
       "15382     Zimbabwe          ZWE  1992   10900502\n",
       "15383     Zimbabwe          ZWE  1993   11092766\n",
       "15384     Zimbabwe          ZWE  1994   11261744\n",
       "15385     Zimbabwe          ZWE  1995   11410714\n",
       "15386     Zimbabwe          ZWE  1996   11541217\n",
       "15387     Zimbabwe          ZWE  1997   11653242\n",
       "15388     Zimbabwe          ZWE  1998   11747072\n",
       "15389     Zimbabwe          ZWE  1999   11822719\n",
       "15390     Zimbabwe          ZWE  2000   11881477\n",
       "15391     Zimbabwe          ZWE  2001   11923914\n",
       "15392     Zimbabwe          ZWE  2002   11954290\n",
       "15393     Zimbabwe          ZWE  2003   11982224\n",
       "15394     Zimbabwe          ZWE  2004   12019912\n",
       "15395     Zimbabwe          ZWE  2005   12076699\n",
       "15396     Zimbabwe          ZWE  2006   12155491\n",
       "15397     Zimbabwe          ZWE  2007   12255922\n",
       "15398     Zimbabwe          ZWE  2008   12379549\n",
       "15399     Zimbabwe          ZWE  2009   12526968\n",
       "15400     Zimbabwe          ZWE  2010   12697723\n",
       "15401     Zimbabwe          ZWE  2011   12894316\n",
       "15402     Zimbabwe          ZWE  2012   13115131\n",
       "15403     Zimbabwe          ZWE  2013   13350356\n",
       "15404     Zimbabwe          ZWE  2014   13586681\n",
       "15405     Zimbabwe          ZWE  2015   13814629\n",
       "15406     Zimbabwe          ZWE  2016   14030390\n",
       "15407     Zimbabwe          ZWE  2017   14236745\n",
       "15408     Zimbabwe          ZWE  2018   14439018\n",
       "\n",
       "[15409 rows x 4 columns]>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "popData = pd.read_csv('../Downloads/population_csv.csv')\n",
    "popData.head"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Examining the data set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(15409, 4)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "popData.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 15409 entries, 0 to 15408\n",
      "Data columns (total 4 columns):\n",
      "Country Name    15409 non-null object\n",
      "Country Code    15409 non-null object\n",
      "Year            15409 non-null int64\n",
      "Value           15409 non-null int64\n",
      "dtypes: int64(2), object(2)\n",
      "memory usage: 481.6+ KB\n"
     ]
    }
   ],
   "source": [
    "popData.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>Year</th>\n",
       "      <th>Value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>15409.000000</td>\n",
       "      <td>1.540900e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1989.069764</td>\n",
       "      <td>2.081236e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>17.031017</td>\n",
       "      <td>6.868312e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1960.000000</td>\n",
       "      <td>3.893000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1974.000000</td>\n",
       "      <td>9.268410e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1989.000000</td>\n",
       "      <td>6.418773e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2004.000000</td>\n",
       "      <td>4.244904e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2018.000000</td>\n",
       "      <td>7.594270e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Year         Value\n",
       "count  15409.000000  1.540900e+04\n",
       "mean    1989.069764  2.081236e+08\n",
       "std       17.031017  6.868312e+08\n",
       "min     1960.000000  3.893000e+03\n",
       "25%     1974.000000  9.268410e+05\n",
       "50%     1989.000000  6.418773e+06\n",
       "75%     2004.000000  4.244904e+07\n",
       "max     2018.000000  7.594270e+09"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "popData.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country Code</th>\n",
       "      <th>Value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ARB</td>\n",
       "      <td>92197753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ARB</td>\n",
       "      <td>94724510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ARB</td>\n",
       "      <td>97334442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ARB</td>\n",
       "      <td>100034179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ARB</td>\n",
       "      <td>102832760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ARB</td>\n",
       "      <td>105736431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ARB</td>\n",
       "      <td>108758610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>ARB</td>\n",
       "      <td>111899364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>ARB</td>\n",
       "      <td>115136178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>ARB</td>\n",
       "      <td>118437195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>ARB</td>\n",
       "      <td>121785650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>ARB</td>\n",
       "      <td>125164745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>ARB</td>\n",
       "      <td>128598734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>ARB</td>\n",
       "      <td>132161298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>ARB</td>\n",
       "      <td>135952252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>ARB</td>\n",
       "      <td>140040649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>ARB</td>\n",
       "      <td>144453278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>ARB</td>\n",
       "      <td>149161891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>ARB</td>\n",
       "      <td>154111175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>ARB</td>\n",
       "      <td>159218552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>ARB</td>\n",
       "      <td>164420785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>ARB</td>\n",
       "      <td>169698994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>ARB</td>\n",
       "      <td>175061792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>ARB</td>\n",
       "      <td>180505996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>ARB</td>\n",
       "      <td>186035305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>ARB</td>\n",
       "      <td>191650331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>ARB</td>\n",
       "      <td>197338142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>ARB</td>\n",
       "      <td>203084971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>ARB</td>\n",
       "      <td>208889682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>ARB</td>\n",
       "      <td>214753970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15379</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>10153852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15380</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>10432421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15381</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>10680995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15382</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>10900502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15383</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>11092766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15384</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>11261744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15385</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>11410714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15386</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>11541217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15387</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>11653242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15388</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>11747072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15389</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>11822719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15390</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>11881477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15391</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>11923914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15392</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>11954290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15393</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>11982224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15394</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>12019912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15395</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>12076699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15396</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>12155491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15397</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>12255922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15398</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>12379549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15399</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>12526968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15400</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>12697723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15401</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>12894316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15402</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>13115131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15403</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>13350356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15404</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>13586681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15405</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>13814629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15406</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>14030390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15407</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>14236745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15408</th>\n",
       "      <td>ZWE</td>\n",
       "      <td>14439018</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>15409 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Country Code      Value\n",
       "0              ARB   92197753\n",
       "1              ARB   94724510\n",
       "2              ARB   97334442\n",
       "3              ARB  100034179\n",
       "4              ARB  102832760\n",
       "5              ARB  105736431\n",
       "6              ARB  108758610\n",
       "7              ARB  111899364\n",
       "8              ARB  115136178\n",
       "9              ARB  118437195\n",
       "10             ARB  121785650\n",
       "11             ARB  125164745\n",
       "12             ARB  128598734\n",
       "13             ARB  132161298\n",
       "14             ARB  135952252\n",
       "15             ARB  140040649\n",
       "16             ARB  144453278\n",
       "17             ARB  149161891\n",
       "18             ARB  154111175\n",
       "19             ARB  159218552\n",
       "20             ARB  164420785\n",
       "21             ARB  169698994\n",
       "22             ARB  175061792\n",
       "23             ARB  180505996\n",
       "24             ARB  186035305\n",
       "25             ARB  191650331\n",
       "26             ARB  197338142\n",
       "27             ARB  203084971\n",
       "28             ARB  208889682\n",
       "29             ARB  214753970\n",
       "...            ...        ...\n",
       "15379          ZWE   10153852\n",
       "15380          ZWE   10432421\n",
       "15381          ZWE   10680995\n",
       "15382          ZWE   10900502\n",
       "15383          ZWE   11092766\n",
       "15384          ZWE   11261744\n",
       "15385          ZWE   11410714\n",
       "15386          ZWE   11541217\n",
       "15387          ZWE   11653242\n",
       "15388          ZWE   11747072\n",
       "15389          ZWE   11822719\n",
       "15390          ZWE   11881477\n",
       "15391          ZWE   11923914\n",
       "15392          ZWE   11954290\n",
       "15393          ZWE   11982224\n",
       "15394          ZWE   12019912\n",
       "15395          ZWE   12076699\n",
       "15396          ZWE   12155491\n",
       "15397          ZWE   12255922\n",
       "15398          ZWE   12379549\n",
       "15399          ZWE   12526968\n",
       "15400          ZWE   12697723\n",
       "15401          ZWE   12894316\n",
       "15402          ZWE   13115131\n",
       "15403          ZWE   13350356\n",
       "15404          ZWE   13586681\n",
       "15405          ZWE   13814629\n",
       "15406          ZWE   14030390\n",
       "15407          ZWE   14236745\n",
       "15408          ZWE   14439018\n",
       "\n",
       "[15409 rows x 2 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "popData[['Country Code', 'Value']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating a Line Plot\n",
    "Create a DataFrame with Zimbabwe data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>Year</th>\n",
       "      <th>Value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15350</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1960</td>\n",
       "      <td>3776681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15351</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1961</td>\n",
       "      <td>3905034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15352</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1962</td>\n",
       "      <td>4039201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15353</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1963</td>\n",
       "      <td>4178726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15354</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1964</td>\n",
       "      <td>4322861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15355</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1965</td>\n",
       "      <td>4471177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15356</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1966</td>\n",
       "      <td>4623351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15357</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1967</td>\n",
       "      <td>4779827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15358</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1968</td>\n",
       "      <td>4941906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15359</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1969</td>\n",
       "      <td>5111337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15360</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1970</td>\n",
       "      <td>5289303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15361</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1971</td>\n",
       "      <td>5476982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15362</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1972</td>\n",
       "      <td>5673911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15363</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1973</td>\n",
       "      <td>5877726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15364</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1974</td>\n",
       "      <td>6085074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15365</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1975</td>\n",
       "      <td>6293875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15366</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1976</td>\n",
       "      <td>6502569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15367</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1977</td>\n",
       "      <td>6712827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15368</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1978</td>\n",
       "      <td>6929664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15369</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1979</td>\n",
       "      <td>7160023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15370</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1980</td>\n",
       "      <td>7408624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15371</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1981</td>\n",
       "      <td>7675591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15372</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1982</td>\n",
       "      <td>7958241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15373</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1983</td>\n",
       "      <td>8254747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15374</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1984</td>\n",
       "      <td>8562249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15375</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1985</td>\n",
       "      <td>8877489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15376</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1986</td>\n",
       "      <td>9200149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15377</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1987</td>\n",
       "      <td>9527203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15378</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1988</td>\n",
       "      <td>9849125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15379</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1989</td>\n",
       "      <td>10153852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15380</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1990</td>\n",
       "      <td>10432421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15381</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1991</td>\n",
       "      <td>10680995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15382</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1992</td>\n",
       "      <td>10900502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15383</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1993</td>\n",
       "      <td>11092766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15384</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1994</td>\n",
       "      <td>11261744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15385</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1995</td>\n",
       "      <td>11410714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15386</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1996</td>\n",
       "      <td>11541217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15387</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1997</td>\n",
       "      <td>11653242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15388</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1998</td>\n",
       "      <td>11747072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15389</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>1999</td>\n",
       "      <td>11822719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15390</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>2000</td>\n",
       "      <td>11881477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15391</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>2001</td>\n",
       "      <td>11923914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15392</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>2002</td>\n",
       "      <td>11954290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15393</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>2003</td>\n",
       "      <td>11982224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15394</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>2004</td>\n",
       "      <td>12019912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15395</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>2005</td>\n",
       "      <td>12076699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15396</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>2006</td>\n",
       "      <td>12155491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15397</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>2007</td>\n",
       "      <td>12255922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15398</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>2008</td>\n",
       "      <td>12379549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15399</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>2009</td>\n",
       "      <td>12526968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15400</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>2010</td>\n",
       "      <td>12697723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15401</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>2011</td>\n",
       "      <td>12894316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15402</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>2012</td>\n",
       "      <td>13115131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15403</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>2013</td>\n",
       "      <td>13350356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15404</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>2014</td>\n",
       "      <td>13586681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15405</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>2015</td>\n",
       "      <td>13814629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15406</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>2016</td>\n",
       "      <td>14030390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15407</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>2017</td>\n",
       "      <td>14236745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15408</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>2018</td>\n",
       "      <td>14439018</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Country Name Country Code  Year     Value\n",
       "15350     Zimbabwe          ZWE  1960   3776681\n",
       "15351     Zimbabwe          ZWE  1961   3905034\n",
       "15352     Zimbabwe          ZWE  1962   4039201\n",
       "15353     Zimbabwe          ZWE  1963   4178726\n",
       "15354     Zimbabwe          ZWE  1964   4322861\n",
       "15355     Zimbabwe          ZWE  1965   4471177\n",
       "15356     Zimbabwe          ZWE  1966   4623351\n",
       "15357     Zimbabwe          ZWE  1967   4779827\n",
       "15358     Zimbabwe          ZWE  1968   4941906\n",
       "15359     Zimbabwe          ZWE  1969   5111337\n",
       "15360     Zimbabwe          ZWE  1970   5289303\n",
       "15361     Zimbabwe          ZWE  1971   5476982\n",
       "15362     Zimbabwe          ZWE  1972   5673911\n",
       "15363     Zimbabwe          ZWE  1973   5877726\n",
       "15364     Zimbabwe          ZWE  1974   6085074\n",
       "15365     Zimbabwe          ZWE  1975   6293875\n",
       "15366     Zimbabwe          ZWE  1976   6502569\n",
       "15367     Zimbabwe          ZWE  1977   6712827\n",
       "15368     Zimbabwe          ZWE  1978   6929664\n",
       "15369     Zimbabwe          ZWE  1979   7160023\n",
       "15370     Zimbabwe          ZWE  1980   7408624\n",
       "15371     Zimbabwe          ZWE  1981   7675591\n",
       "15372     Zimbabwe          ZWE  1982   7958241\n",
       "15373     Zimbabwe          ZWE  1983   8254747\n",
       "15374     Zimbabwe          ZWE  1984   8562249\n",
       "15375     Zimbabwe          ZWE  1985   8877489\n",
       "15376     Zimbabwe          ZWE  1986   9200149\n",
       "15377     Zimbabwe          ZWE  1987   9527203\n",
       "15378     Zimbabwe          ZWE  1988   9849125\n",
       "15379     Zimbabwe          ZWE  1989  10153852\n",
       "15380     Zimbabwe          ZWE  1990  10432421\n",
       "15381     Zimbabwe          ZWE  1991  10680995\n",
       "15382     Zimbabwe          ZWE  1992  10900502\n",
       "15383     Zimbabwe          ZWE  1993  11092766\n",
       "15384     Zimbabwe          ZWE  1994  11261744\n",
       "15385     Zimbabwe          ZWE  1995  11410714\n",
       "15386     Zimbabwe          ZWE  1996  11541217\n",
       "15387     Zimbabwe          ZWE  1997  11653242\n",
       "15388     Zimbabwe          ZWE  1998  11747072\n",
       "15389     Zimbabwe          ZWE  1999  11822719\n",
       "15390     Zimbabwe          ZWE  2000  11881477\n",
       "15391     Zimbabwe          ZWE  2001  11923914\n",
       "15392     Zimbabwe          ZWE  2002  11954290\n",
       "15393     Zimbabwe          ZWE  2003  11982224\n",
       "15394     Zimbabwe          ZWE  2004  12019912\n",
       "15395     Zimbabwe          ZWE  2005  12076699\n",
       "15396     Zimbabwe          ZWE  2006  12155491\n",
       "15397     Zimbabwe          ZWE  2007  12255922\n",
       "15398     Zimbabwe          ZWE  2008  12379549\n",
       "15399     Zimbabwe          ZWE  2009  12526968\n",
       "15400     Zimbabwe          ZWE  2010  12697723\n",
       "15401     Zimbabwe          ZWE  2011  12894316\n",
       "15402     Zimbabwe          ZWE  2012  13115131\n",
       "15403     Zimbabwe          ZWE  2013  13350356\n",
       "15404     Zimbabwe          ZWE  2014  13586681\n",
       "15405     Zimbabwe          ZWE  2015  13814629\n",
       "15406     Zimbabwe          ZWE  2016  14030390\n",
       "15407     Zimbabwe          ZWE  2017  14236745\n",
       "15408     Zimbabwe          ZWE  2018  14439018"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "zwe = popData.loc[popData['Country Name'] == 'Zimbabwe']\n",
    "zwe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot Zimbabwe's population over time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x22366a42828>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "zwe.plot('Year', 'Value')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Add labels to make the plot more descriptive"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Zimbabwe Population')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "zwe.plot('Year', 'Value')\n",
    "ylab = 'Population'\n",
    "title = 'Zimbabwe Population'\n",
    "plt.ylabel(ylab)\n",
    "plt.title(title)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}