covid.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Digital Mobile on the frontline in the war against Coronavirus. \n",
    "Case of Medic Mobile\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"images/africa.png\" alt=\"Drawing\" style=\"width: 200px;\"/>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Introduction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The year 2020 will be remembered for the most devastating health outbreak since the Spanish flu about 100 years ago: covid-19. To some extent, every country has been affected by the pandemic one way or another and its effect on nations’ healthcare system, economics and general overall welfare are yet to be seen. \n",
    "In this article we will explore how the virus spread across Africa, with a particular focus on countries most affected, the state of affairs at the moment (are things getting any better) and finally the role of digital media in managing the pandemic.\n",
    "The analysis is done using Covid-19  data from the World Health Organization (WHO)  to answer the first two questions; and stories from one of the most active organizations in the digital health space in Africa : Medic Mobile (to answer the third question), at times in collaboration with another big player in the space: Dumagi."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. Business Understanding¶\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. What is the state of affairs across Africa\n",
    "2. What are the most affected countries\n",
    "3. What role are digital health platform playing in combating the pandemic"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. Data Understanding  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Required dependancies.\n",
    "First we import required dependance for data analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sn\n",
    "import os\n",
    "import urllib\n",
    "#geoplot\n",
    "import chart_studio.plotly as py\n",
    "import plotly.graph_objs as go\n",
    "from plotly.offline import download_plotlyjs,init_notebook_mode,plot, iplot\n",
    "%matplotlib inline "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load utility file\n",
    "%run utils.py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Download and save data on disk\n",
    "The data is dowloaded from WHO dashboard and saved to local disk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "url ='https://covid19.who.int/WHO-COVID-19-global-data.csv'\n",
    "df = load_data(url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Data formatting "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date_reported</th>\n",
       "      <th>Country_code</th>\n",
       "      <th>Country</th>\n",
       "      <th>WHO_region</th>\n",
       "      <th>New_cases</th>\n",
       "      <th>Cumulative_cases</th>\n",
       "      <th>New_deaths</th>\n",
       "      <th>Cumulative_deaths</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-02-24</td>\n",
       "      <td>AF</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>EMRO</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-02-25</td>\n",
       "      <td>AF</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>EMRO</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-02-26</td>\n",
       "      <td>AF</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>EMRO</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-02-27</td>\n",
       "      <td>AF</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>EMRO</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-02-28</td>\n",
       "      <td>AF</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>EMRO</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Date_reported  Country_code      Country  WHO_region   New_cases  \\\n",
       "0    2020-02-24            AF  Afghanistan        EMRO           5   \n",
       "1    2020-02-25            AF  Afghanistan        EMRO           0   \n",
       "2    2020-02-26            AF  Afghanistan        EMRO           0   \n",
       "3    2020-02-27            AF  Afghanistan        EMRO           0   \n",
       "4    2020-02-28            AF  Afghanistan        EMRO           0   \n",
       "\n",
       "    Cumulative_cases   New_deaths   Cumulative_deaths  \n",
       "0                  5            0                   0  \n",
       "1                  5            0                   0  \n",
       "2                  5            0                   0  \n",
       "3                  5            0                   0  \n",
       "4                  5            0                   0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Quick look at data format \n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Date_reported', ' Country_code', ' Country', ' WHO_region',\n",
       "       ' New_cases', ' Cumulative_cases', ' New_deaths', ' Cumulative_deaths'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Quick look at features\n",
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Date_reported', 'Country_code', 'Country', 'WHO_region', 'New_cases',\n",
       "       'Cumulative_cases', 'New_deaths', 'Cumulative_deaths'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# There seem to be white space in some columns (all except first one) - let's get read of them\n",
    "remove_white_spaces(df)\n",
    "df.columns  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date_reported          0\n",
       "Country_code         163\n",
       "Country                0\n",
       "WHO_region             0\n",
       "New_cases              0\n",
       "Cumulative_cases       0\n",
       "New_deaths             0\n",
       "Cumulative_deaths      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Let us look if there are null vlaues in the dataset\n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Since 'Country_code' is not very importnat \n",
    "#for our analysis (we have country column already), we can drop the columns altogether \n",
    "df.drop('Country_code', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Feature engineering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We might find it useful to analyse monthly/yearly stats\n",
    "#So let's format the date feature to allow for this \n",
    "feature_engineer_dates(df, 'Date_reported')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date_reported</th>\n",
       "      <th>Country</th>\n",
       "      <th>WHO_region</th>\n",
       "      <th>New_cases</th>\n",
       "      <th>Cumulative_cases</th>\n",
       "      <th>New_deaths</th>\n",
       "      <th>Cumulative_deaths</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>36836</th>\n",
       "      <td>2020-08-19</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>70</td>\n",
       "      <td>5378</td>\n",
       "      <td>6</td>\n",
       "      <td>141</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36837</th>\n",
       "      <td>2020-08-20</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>265</td>\n",
       "      <td>5643</td>\n",
       "      <td>9</td>\n",
       "      <td>150</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36838</th>\n",
       "      <td>2020-08-21</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>102</td>\n",
       "      <td>5745</td>\n",
       "      <td>1</td>\n",
       "      <td>151</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36839</th>\n",
       "      <td>2020-08-22</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>70</td>\n",
       "      <td>5815</td>\n",
       "      <td>1</td>\n",
       "      <td>152</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36840</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>78</td>\n",
       "      <td>5893</td>\n",
       "      <td>1</td>\n",
       "      <td>153</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Date_reported   Country WHO_region  New_cases  Cumulative_cases  \\\n",
       "36836    2020-08-19  Zimbabwe       AFRO         70              5378   \n",
       "36837    2020-08-20  Zimbabwe       AFRO        265              5643   \n",
       "36838    2020-08-21  Zimbabwe       AFRO        102              5745   \n",
       "36839    2020-08-22  Zimbabwe       AFRO         70              5815   \n",
       "36840    2020-08-23  Zimbabwe       AFRO         78              5893   \n",
       "\n",
       "       New_deaths  Cumulative_deaths  month  year  \n",
       "36836           6                141      8  2020  \n",
       "36837           9                150      8  2020  \n",
       "36838           1                151      8  2020  \n",
       "36839           1                152      8  2020  \n",
       "36840           1                153      8  2020  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Check new features\n",
    "df.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploratory data analysis "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Useful data subset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date_reported</th>\n",
       "      <th>Country</th>\n",
       "      <th>WHO_region</th>\n",
       "      <th>New_cases</th>\n",
       "      <th>Cumulative_cases</th>\n",
       "      <th>New_deaths</th>\n",
       "      <th>Cumulative_deaths</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>2020-02-25</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>2020-02-26</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352</th>\n",
       "      <td>2020-02-27</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>2020-02-28</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354</th>\n",
       "      <td>2020-02-29</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Date_reported  Country WHO_region  New_cases  Cumulative_cases  \\\n",
       "350    2020-02-25  Algeria       AFRO          5                 5   \n",
       "351    2020-02-26  Algeria       AFRO          0                 5   \n",
       "352    2020-02-27  Algeria       AFRO          0                 5   \n",
       "353    2020-02-28  Algeria       AFRO          0                 5   \n",
       "354    2020-02-29  Algeria       AFRO          0                 5   \n",
       "\n",
       "     New_deaths  Cumulative_deaths  month  year  \n",
       "350           0                  0      2  2020  \n",
       "351           0                  0      2  2020  \n",
       "352           0                  0      2  2020  \n",
       "353           0                  0      2  2020  \n",
       "354           0                  0      2  2020  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Since we are interested in countries in the 'AFRO' region, lets just select that\n",
    "df_africa = df[df.WHO_region == 'AFRO']\n",
    "df_africa.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Algeria', 'Angola', 'Benin', 'Botswana', 'Burkina Faso',\n",
       "       'Burundi', 'Cabo Verde', 'Cameroon', 'Central African Republic',\n",
       "       'Chad', 'Comoros', 'Congo', 'Côte d’Ivoire',\n",
       "       'Democratic Republic of the Congo', 'Equatorial Guinea', 'Eritrea',\n",
       "       'Eswatini', 'Ethiopia', 'Gabon', 'Gambia', 'Ghana', 'Guinea',\n",
       "       'Guinea-Bissau', 'Kenya', 'Lesotho', 'Liberia', 'Madagascar',\n",
       "       'Malawi', 'Mali', 'Mauritania', 'Mauritius', 'Mayotte',\n",
       "       'Mozambique', 'Namibia', 'Niger', 'Nigeria', 'Réunion', 'Rwanda',\n",
       "       'Sao Tome and Principe', 'Senegal', 'Seychelles', 'Sierra Leone',\n",
       "       'South Africa', 'South Sudan', 'Togo', 'Uganda',\n",
       "       'United Republic of Tanzania', 'Zambia', 'Zimbabwe'], dtype=object)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#let us have a look at countries names for consistency \n",
    "df_africa.Country.unique()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Algeria', 'Angola', 'Benin', 'Botswana', 'Burkina Faso',\n",
       "       'Burundi', 'Cabo Verde', 'Cameroon', 'Central African Republic',\n",
       "       'Chad', 'Comoros', 'Congo', 'Côte d’Ivoire',\n",
       "       'Democratic Republic of the Congo', 'Equatorial Guinea', 'Eritrea',\n",
       "       'Eswatini', 'Ethiopia', 'Gabon', 'Gambia', 'Ghana', 'Guinea',\n",
       "       'Guinea-Bissau', 'Kenya', 'Lesotho', 'Liberia', 'Madagascar',\n",
       "       'Malawi', 'Mali', 'Mauritania', 'Mauritius', 'Mayotte',\n",
       "       'Mozambique', 'Namibia', 'Niger', 'Nigeria', 'Réunion', 'Rwanda',\n",
       "       'Sao Tome and Principe', 'Senegal', 'Seychelles', 'Sierra Leone',\n",
       "       'South Africa', 'South Sudan', 'Togo', 'Uganda',\n",
       "       'United Republic of Tanzania', 'Zambia', 'Zimbabwe'], dtype=object)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#'Côte d’Ivoire' is reported with a French name. Let us replace it with English name for consistency \n",
    "rename_country(df,\"Côte d’Ivoire\", \"Ivory Coast\")\n",
    "df_africa.Country.unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. What's the state of affairs with regard to covid-19 in Africa ?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data visualization\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>Date_reported</th>\n",
       "      <th>Country</th>\n",
       "      <th>WHO_region</th>\n",
       "      <th>New_cases</th>\n",
       "      <th>Cumulative_cases</th>\n",
       "      <th>New_deaths</th>\n",
       "      <th>Cumulative_deaths</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>530</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>810</td>\n",
       "      <td>41068</td>\n",
       "      <td>13</td>\n",
       "      <td>1424</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>860</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>Angola</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>66</td>\n",
       "      <td>2134</td>\n",
       "      <td>0</td>\n",
       "      <td>94</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3616</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>Benin</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>0</td>\n",
       "      <td>2115</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4571</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>Botswana</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>0</td>\n",
       "      <td>1308</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5404</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>Burkina Faso</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>0</td>\n",
       "      <td>1297</td>\n",
       "      <td>0</td>\n",
       "      <td>55</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Date_reported       Country WHO_region  New_cases  Cumulative_cases  \\\n",
       "530     2020-08-23       Algeria       AFRO        810             41068   \n",
       "860     2020-08-23        Angola       AFRO         66              2134   \n",
       "3616    2020-08-23         Benin       AFRO          0              2115   \n",
       "4571    2020-08-23      Botswana       AFRO          0              1308   \n",
       "5404    2020-08-23  Burkina Faso       AFRO          0              1297   \n",
       "\n",
       "      New_deaths  Cumulative_deaths  month  year  \n",
       "530           13               1424      8  2020  \n",
       "860            0                 94      8  2020  \n",
       "3616           0                 39      8  2020  \n",
       "4571           0                  3      8  2020  \n",
       "5404           0                 55      8  2020  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Let's get yesterday's data = => latest \n",
    "df_africa_latest = select_latest_data(df_africa)\n",
    "df_africa_latest.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Data Visualization on map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "visualize_on_map(df_africa_latest,'africa','covid-map.html')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Modeling "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Which countries have most cases?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        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>Date_reported</th>\n",
       "      <th>Country</th>\n",
       "      <th>WHO_region</th>\n",
       "      <th>New_cases</th>\n",
       "      <th>Cumulative_cases</th>\n",
       "      <th>New_deaths</th>\n",
       "      <th>Cumulative_deaths</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>31660</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>South Africa</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>3707</td>\n",
       "      <td>607045</td>\n",
       "      <td>144</td>\n",
       "      <td>12987</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24598</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>Nigeria</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>601</td>\n",
       "      <td>51905</td>\n",
       "      <td>1</td>\n",
       "      <td>997</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13105</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>Ghana</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>0</td>\n",
       "      <td>43325</td>\n",
       "      <td>0</td>\n",
       "      <td>261</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>530</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>810</td>\n",
       "      <td>41068</td>\n",
       "      <td>13</td>\n",
       "      <td>1424</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11005</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>Ethiopia</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>1368</td>\n",
       "      <td>39033</td>\n",
       "      <td>25</td>\n",
       "      <td>662</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18276</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>Kenya</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>355</td>\n",
       "      <td>32118</td>\n",
       "      <td>10</td>\n",
       "      <td>542</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6087</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>Cameroon</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>0</td>\n",
       "      <td>18762</td>\n",
       "      <td>0</td>\n",
       "      <td>408</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7972</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>Côte d’Ivoire</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>64</td>\n",
       "      <td>17374</td>\n",
       "      <td>1</td>\n",
       "      <td>113</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20390</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>Madagascar</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>59</td>\n",
       "      <td>14277</td>\n",
       "      <td>0</td>\n",
       "      <td>178</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30132</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>Senegal</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>161</td>\n",
       "      <td>12850</td>\n",
       "      <td>4</td>\n",
       "      <td>266</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Date_reported        Country WHO_region  New_cases  Cumulative_cases  \\\n",
       "31660    2020-08-23   South Africa       AFRO       3707            607045   \n",
       "24598    2020-08-23        Nigeria       AFRO        601             51905   \n",
       "13105    2020-08-23          Ghana       AFRO          0             43325   \n",
       "530      2020-08-23        Algeria       AFRO        810             41068   \n",
       "11005    2020-08-23       Ethiopia       AFRO       1368             39033   \n",
       "18276    2020-08-23          Kenya       AFRO        355             32118   \n",
       "6087     2020-08-23       Cameroon       AFRO          0             18762   \n",
       "7972     2020-08-23  Côte d’Ivoire       AFRO         64             17374   \n",
       "20390    2020-08-23     Madagascar       AFRO         59             14277   \n",
       "30132    2020-08-23        Senegal       AFRO        161             12850   \n",
       "\n",
       "       New_deaths  Cumulative_deaths  month  year  \n",
       "31660         144              12987      8  2020  \n",
       "24598           1                997      8  2020  \n",
       "13105           0                261      8  2020  \n",
       "530            13               1424      8  2020  \n",
       "11005          25                662      8  2020  \n",
       "18276          10                542      8  2020  \n",
       "6087            0                408      8  2020  \n",
       "7972            1                113      8  2020  \n",
       "20390           0                178      8  2020  \n",
       "30132           4                266      8  2020  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%run utils.py \n",
    "sorted = sort_by_stats(df_africa_latest, 'Cumulative_cases', False)\n",
    "top10 = sorted.head(10)\n",
    "top10\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Countries with least cases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date_reported</th>\n",
       "      <th>Country</th>\n",
       "      <th>WHO_region</th>\n",
       "      <th>New_cases</th>\n",
       "      <th>Cumulative_cases</th>\n",
       "      <th>New_deaths</th>\n",
       "      <th>Cumulative_deaths</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>27951</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>Réunion</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>42</td>\n",
       "      <td>1117</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19396</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>Lesotho</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>0</td>\n",
       "      <td>1015</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6783</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>Chad</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>1</td>\n",
       "      <td>982</td>\n",
       "      <td>0</td>\n",
       "      <td>76</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29782</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>Sao Tome and Principe</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>1</td>\n",
       "      <td>892</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35308</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>United Republic of Tanzania</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>0</td>\n",
       "      <td>509</td>\n",
       "      <td>0</td>\n",
       "      <td>21</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5549</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>Burundi</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>1</td>\n",
       "      <td>430</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7476</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>Comoros</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>11</td>\n",
       "      <td>417</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21728</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>Mauritius</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>0</td>\n",
       "      <td>346</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10500</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>Eritrea</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>0</td>\n",
       "      <td>306</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30465</th>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>Seychelles</td>\n",
       "      <td>AFRO</td>\n",
       "      <td>0</td>\n",
       "      <td>127</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Date_reported                      Country WHO_region  New_cases  \\\n",
       "27951    2020-08-23                      Réunion       AFRO         42   \n",
       "19396    2020-08-23                      Lesotho       AFRO          0   \n",
       "6783     2020-08-23                         Chad       AFRO          1   \n",
       "29782    2020-08-23        Sao Tome and Principe       AFRO          1   \n",
       "35308    2020-08-23  United Republic of Tanzania       AFRO          0   \n",
       "5549     2020-08-23                      Burundi       AFRO          1   \n",
       "7476     2020-08-23                      Comoros       AFRO         11   \n",
       "21728    2020-08-23                    Mauritius       AFRO          0   \n",
       "10500    2020-08-23                      Eritrea       AFRO          0   \n",
       "30465    2020-08-23                   Seychelles       AFRO          0   \n",
       "\n",
       "       Cumulative_cases  New_deaths  Cumulative_deaths  month  year  \n",
       "27951              1117           1                  6      8  2020  \n",
       "19396              1015           0                 30      8  2020  \n",
       "6783                982           0                 76      8  2020  \n",
       "29782               892           0                 15      8  2020  \n",
       "35308               509           0                 21      8  2020  \n",
       "5549                430           0                  1      8  2020  \n",
       "7476                417           0                  7      8  2020  \n",
       "21728               346           0                 10      8  2020  \n",
       "10500               306           0                  0      8  2020  \n",
       "30465               127           0                  0      8  2020  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bottom10 = sorted.tail(10)\n",
    "bottom10"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Remarks - south africa seems to be most affected... Obviously the total number does not tell the whole story.A look at cases per capita would be more significant, but a glance at the population figures shows that the most populated countries do not necessarily have most cases (Indeed, South africa is 6th on the continent, https://en.wikipedia.org/wiki/List_of_African_countries_by_population) . Also a point to note is that the picture migh reflect the capacity for testing rather than the actual numbers. For the sake of simplicity, we will use the data we have, keeping in mind those caveats as we draw conclusions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# extract tables from wikipedia\n",
    "page ='https://en.wikipedia.org/wiki/List_of_African_countries_by_population'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rank</th>\n",
       "      <th>Country(or dependent territory)</th>\n",
       "      <th>Officialfigure(whereavailable)</th>\n",
       "      <th>Date oflast figure</th>\n",
       "      <th>Source</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>Nigeria</td>\n",
       "      <td>206139589</td>\n",
       "      <td>2020</td>\n",
       "      <td>Worldometers[3]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.0</td>\n",
       "      <td>Ethiopia</td>\n",
       "      <td>114963588</td>\n",
       "      <td>2020</td>\n",
       "      <td>Worldometers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.0</td>\n",
       "      <td>Egypt</td>\n",
       "      <td>102334404</td>\n",
       "      <td>2020</td>\n",
       "      <td>Worldmeters</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.0</td>\n",
       "      <td>Democratic Republic of the Congo</td>\n",
       "      <td>89561403</td>\n",
       "      <td>2020</td>\n",
       "      <td>Worldmeters</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>Tanzania</td>\n",
       "      <td>59734218</td>\n",
       "      <td>2020</td>\n",
       "      <td>Worldometers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6.0</td>\n",
       "      <td>South Africa</td>\n",
       "      <td>59622350</td>\n",
       "      <td>July 1, 2020</td>\n",
       "      <td>Official estimate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7.0</td>\n",
       "      <td>Kenya</td>\n",
       "      <td>47564296</td>\n",
       "      <td>2019</td>\n",
       "      <td>Official estimate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8.0</td>\n",
       "      <td>Uganda</td>\n",
       "      <td>45741007</td>\n",
       "      <td>July,13, 2020</td>\n",
       "      <td>https://www.worldometers.info</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9.0</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>43000420</td>\n",
       "      <td>January 1, 2019</td>\n",
       "      <td>Official estimate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10.0</td>\n",
       "      <td>Sudan</td>\n",
       "      <td>42268269</td>\n",
       "      <td>January 25, 2020</td>\n",
       "      <td>Official population clock</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Rank   Country(or dependent territory)  Officialfigure(whereavailable)  \\\n",
       "0   1.0                           Nigeria                       206139589   \n",
       "1   2.0                          Ethiopia                       114963588   \n",
       "2   3.0                             Egypt                       102334404   \n",
       "3   4.0  Democratic Republic of the Congo                        89561403   \n",
       "4   5.0                          Tanzania                        59734218   \n",
       "5   6.0                      South Africa                        59622350   \n",
       "6   7.0                             Kenya                        47564296   \n",
       "7   8.0                            Uganda                        45741007   \n",
       "8   9.0                           Algeria                        43000420   \n",
       "9  10.0                             Sudan                        42268269   \n",
       "\n",
       "  Date oflast figure                         Source  \n",
       "0               2020                Worldometers[3]  \n",
       "1               2020                   Worldometers  \n",
       "2               2020                    Worldmeters  \n",
       "3               2020                    Worldmeters  \n",
       "4               2020                   Worldometers  \n",
       "5       July 1, 2020              Official estimate  \n",
       "6               2019              Official estimate  \n",
       "7      July,13, 2020  https://www.worldometers.info  \n",
       "8    January 1, 2019              Official estimate  \n",
       "9   January 25, 2020      Official population clock  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "population = read_wikipedia_table(page)\n",
    "population.head(10) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rank</th>\n",
       "      <th>Country(or dependent territory)</th>\n",
       "      <th>Officialfigure(whereavailable)</th>\n",
       "      <th>Date oflast figure</th>\n",
       "      <th>Source</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>Nigeria</td>\n",
       "      <td>206139589</td>\n",
       "      <td>2020</td>\n",
       "      <td>Worldometers[3]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.0</td>\n",
       "      <td>Ethiopia</td>\n",
       "      <td>114963588</td>\n",
       "      <td>2020</td>\n",
       "      <td>Worldometers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6.0</td>\n",
       "      <td>South Africa</td>\n",
       "      <td>59622350</td>\n",
       "      <td>July 1, 2020</td>\n",
       "      <td>Official estimate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7.0</td>\n",
       "      <td>Kenya</td>\n",
       "      <td>47564296</td>\n",
       "      <td>2019</td>\n",
       "      <td>Official estimate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9.0</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>43000420</td>\n",
       "      <td>January 1, 2019</td>\n",
       "      <td>Official estimate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13.0</td>\n",
       "      <td>Ghana</td>\n",
       "      <td>31072940</td>\n",
       "      <td>2020</td>\n",
       "      <td>Official estimate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17.0</td>\n",
       "      <td>Madagascar</td>\n",
       "      <td>22434363</td>\n",
       "      <td>2014</td>\n",
       "      <td>Official estimate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18.0</td>\n",
       "      <td>Cameroon</td>\n",
       "      <td>21917602</td>\n",
       "      <td>2015</td>\n",
       "      <td>Official estimate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24.0</td>\n",
       "      <td>Senegal</td>\n",
       "      <td>14354690</td>\n",
       "      <td>2015</td>\n",
       "      <td>Official estimate</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Rank Country(or dependent territory)  Officialfigure(whereavailable)  \\\n",
       "0    1.0                         Nigeria                       206139589   \n",
       "1    2.0                        Ethiopia                       114963588   \n",
       "5    6.0                    South Africa                        59622350   \n",
       "6    7.0                           Kenya                        47564296   \n",
       "8    9.0                         Algeria                        43000420   \n",
       "12  13.0                           Ghana                        31072940   \n",
       "16  17.0                      Madagascar                        22434363   \n",
       "17  18.0                        Cameroon                        21917602   \n",
       "23  24.0                         Senegal                        14354690   \n",
       "\n",
       "   Date oflast figure             Source  \n",
       "0                2020    Worldometers[3]  \n",
       "1                2020       Worldometers  \n",
       "5        July 1, 2020  Official estimate  \n",
       "6                2019  Official estimate  \n",
       "8     January 1, 2019  Official estimate  \n",
       "12               2020  Official estimate  \n",
       "16               2014  Official estimate  \n",
       "17               2015  Official estimate  \n",
       "23               2015  Official estimate  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#countries with more cases but less people\n",
    "#df of top countries \n",
    "population[population['Country(or dependent territory)'].isin (top10.Country)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# More plot - top 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "31660     South Africa\n",
       "24598          Nigeria\n",
       "13105            Ghana\n",
       "530            Algeria\n",
       "11005         Ethiopia\n",
       "18276            Kenya\n",
       "6087          Cameroon\n",
       "7972     Côte d’Ivoire\n",
       "20390       Madagascar\n",
       "30132          Senegal\n",
       "Name: Country, dtype: object"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_top10 = df_africa[df_africa.Country.isin (top10.Country)]\n",
    "df_top10.Country.unique()\n",
    "top10.Country"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#top ten news cases time series   \n",
    "visualize_with_plot('Top Ten Trends', df_top10, 'Date_reported', 'New_cases', 'Date Reported','New Cases')     "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " Exclude South Africa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Applications/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:2: UserWarning:\n",
      "\n",
      "Boolean Series key will be reindexed to match DataFrame index.\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Minus sa and show per month\n",
    "minus_sa = df_top10[df.Country != 'South Africa']\n",
    "visualize_with_plot('Minus South Africa', minus_sa, 'month', 'New_cases', 'Date Reported','New Cases')     "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Most contries seem to have picked - Except Ethiopia. Zoom into Ethiopia - \n",
    "Use date reported"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Applications/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:1: UserWarning:\n",
      "\n",
      "Boolean Series key will be reindexed to match DataFrame index.\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "visualize_with_plot('Ethipia', df_top10[df.Country == 'Ethiopia'], 'Date_reported', 'New_cases', 'Date Reported','New Cases')     "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Might have peaked as well"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Results Evaluation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "At a glance, South Africa seems to be the most affected country on the continent. \n",
    "Obviously the total number does not tell the whole story.A look at cases per capita would be more significant, but a glance at the population figures shows that the most populated countries do not necessarily have most cases (Indeed, South africa is 6th on the continent, https://en.wikipedia.org/wiki/List_of_African_countries_by_population) . Also a point to note is that the picture might reflect the capacity for testing rather than the actual numbers. For the sake of simplicity, we will use the data we have, keeping in mind those caveats as we draw conclusions.\n",
    "Also, most countries have peaked, except Ethiopia (viewed on a monthly scale), but as we approach the end of August, we see some downwards trends.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Conclusion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Like the rest of the world, Africa has been affected by the current pandemic and is fighting hard to contain the situation. But unlike developed countries, most countries on the continent do not have the necessary resources and infrastructure required to face such a highly contagious and fatal virus. Luckily, there were already established organizations and tools that were used to improve health outcomes in other areas which were quick to respond to the challenge. In particular, Medic mobile was able to configure their existing Community Health Kit to create apps that are being used for case management and contact tracing, in collaboration with other players in the digital health space such as Dumagi."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# References"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[WHO Coronavirus Disease (COVID-19) Dashboard\n",
    "COVID-19: Africa needs unprecedented attention to strengthen community health systems](https://covid19.who.int/)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Africa: Covid-19 Exposes Healthcare Shortfalls\n",
    "Prioritize Investment to Improve Access to Care for All](https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(20)31532-4/fulltext)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[African Union rolls out Partnership to Accelerate COVID-19 Testing\n",
    "Inform WHO and USAID of Your Digital Health Solution for COVID-19 Response](https://www.hrw.org/news/2020/06/08/africa-covid-19-exposes-healthcare-shortfalls)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[African Union rolls out Partnership to Accelerate COVID-19 Testing](https://africacdc.org/news-item/african-union-rolls-out-partnership-to-accelerate-covid-19-testing)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Inform WHO and USAID of Your Digital Health Solution for COVID-19 Response](https://www.ictworks.org/who-usaid-digital-health-solution-covid-19)"
   ]
  }
 ],
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