covid19 data analysis notebook - Covid Death.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Welcome to Covid19 (Deaths) Data Analysis Notebook\n",
    "------------------------------------------"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's Import the modules "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Modules are imported.\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd \n",
    "import numpy as np \n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt \n",
    "print('Modules are imported.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Task 2 "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 2.1: importing covid19 dataset\n",
    "importing \"Covid19_deaths_dataset.csv\" from \"./Dataset for practice\" folder. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Province/State</th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>1/22/20</th>\n",
       "      <th>1/23/20</th>\n",
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       "      <td>47</td>\n",
       "      <td>50</td>\n",
       "      <td>57</td>\n",
       "      <td>58</td>\n",
       "      <td>60</td>\n",
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       "      <td>20.1683</td>\n",
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       "      <td>28</td>\n",
       "      <td>28</td>\n",
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       "      <td>30</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>1.6596</td>\n",
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       "      <td>392</td>\n",
       "      <td>402</td>\n",
       "      <td>407</td>\n",
       "      <td>415</td>\n",
       "      <td>419</td>\n",
       "      <td>425</td>\n",
       "      <td>432</td>\n",
       "      <td>437</td>\n",
       "      <td>444</td>\n",
       "      <td>450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>42.5063</td>\n",
       "      <td>1.5218</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>41</td>\n",
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       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Angola</td>\n",
       "      <td>-11.2027</td>\n",
       "      <td>17.8739</td>\n",
       "      <td>0</td>\n",
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       "      <td>2</td>\n",
       "      <td>2</td>\n",
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       "<p>5 rows × 104 columns</p>\n",
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       "  Province/State Country/Region      Lat     Long  1/22/20  1/23/20  1/24/20  \\\n",
       "0            NaN    Afghanistan  33.0000  65.0000        0        0        0   \n",
       "1            NaN        Albania  41.1533  20.1683        0        0        0   \n",
       "2            NaN        Algeria  28.0339   1.6596        0        0        0   \n",
       "3            NaN        Andorra  42.5063   1.5218        0        0        0   \n",
       "4            NaN         Angola -11.2027  17.8739        0        0        0   \n",
       "\n",
       "   1/25/20  1/26/20  1/27/20  ...  4/21/20  4/22/20  4/23/20  4/24/20  \\\n",
       "0        0        0        0  ...       36       40       42       43   \n",
       "1        0        0        0  ...       26       27       27       27   \n",
       "2        0        0        0  ...      392      402      407      415   \n",
       "3        0        0        0  ...       37       37       37       40   \n",
       "4        0        0        0  ...        2        2        2        2   \n",
       "\n",
       "   4/25/20  4/26/20  4/27/20  4/28/20  4/29/20  4/30/20  \n",
       "0       47       50       57       58       60       64  \n",
       "1       27       28       28       30       30       31  \n",
       "2      419      425      432      437      444      450  \n",
       "3       40       40       40       41       42       42  \n",
       "4        2        2        2        2        2        2  \n",
       "\n",
       "[5 rows x 104 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corona_dataset_csv = pd.read_csv(\"Dataset for practice/covid19_deaths_dataset.csv\")\n",
    "corona_dataset_csv.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's check the shape of the dataframe (the number of rows and columns it contains.)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(266, 104)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corona_dataset_csv.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 2.2: Delete the useless columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "corona_dataset_csv.drop([\"Lat\", \"Long\"], axis=1, inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
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       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>29</td>\n",
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       "      <td>30</td>\n",
       "      <td>32</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Australian Capital Territory</td>\n",
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       "      <th>9</th>\n",
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       "      <td>33</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>39</td>\n",
       "      <td>40</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 102 columns</p>\n",
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      ],
      "text/plain": [
       "                 Province/State       Country/Region  1/22/20  1/23/20  \\\n",
       "0                           NaN          Afghanistan        0        0   \n",
       "1                           NaN              Albania        0        0   \n",
       "2                           NaN              Algeria        0        0   \n",
       "3                           NaN              Andorra        0        0   \n",
       "4                           NaN               Angola        0        0   \n",
       "5                           NaN  Antigua and Barbuda        0        0   \n",
       "6                           NaN            Argentina        0        0   \n",
       "7                           NaN              Armenia        0        0   \n",
       "8  Australian Capital Territory            Australia        0        0   \n",
       "9               New South Wales            Australia        0        0   \n",
       "\n",
       "   1/24/20  1/25/20  1/26/20  1/27/20  1/28/20  1/29/20  ...  4/21/20  \\\n",
       "0        0        0        0        0        0        0  ...       36   \n",
       "1        0        0        0        0        0        0  ...       26   \n",
       "2        0        0        0        0        0        0  ...      392   \n",
       "3        0        0        0        0        0        0  ...       37   \n",
       "4        0        0        0        0        0        0  ...        2   \n",
       "5        0        0        0        0        0        0  ...        3   \n",
       "6        0        0        0        0        0        0  ...      147   \n",
       "7        0        0        0        0        0        0  ...       24   \n",
       "8        0        0        0        0        0        0  ...        3   \n",
       "9        0        0        0        0        0        0  ...       26   \n",
       "\n",
       "   4/22/20  4/23/20  4/24/20  4/25/20  4/26/20  4/27/20  4/28/20  4/29/20  \\\n",
       "0       40       42       43       47       50       57       58       60   \n",
       "1       27       27       27       27       28       28       30       30   \n",
       "2      402      407      415      419      425      432      437      444   \n",
       "3       37       37       40       40       40       40       41       42   \n",
       "4        2        2        2        2        2        2        2        2   \n",
       "5        3        3        3        3        3        3        3        3   \n",
       "6      152      165      176      185      192      197      207      214   \n",
       "7       24       24       27       28       28       29       30       30   \n",
       "8        3        3        3        3        3        3        3        3   \n",
       "9       26       31       33       33       34       34       39       40   \n",
       "\n",
       "   4/30/20  \n",
       "0       64  \n",
       "1       31  \n",
       "2      450  \n",
       "3       42  \n",
       "4        2  \n",
       "5        3  \n",
       "6      218  \n",
       "7       32  \n",
       "8        3  \n",
       "9       41  \n",
       "\n",
       "[10 rows x 102 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corona_dataset_csv.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 2.3: Aggregating the rows by the country"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "corona_dataset_aggregated = corona_dataset_csv.groupby(\"Country/Region\").sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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",
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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>Province/State</th>\n",
       "      <th>1/22/20</th>\n",
       "      <th>1/23/20</th>\n",
       "      <th>1/24/20</th>\n",
       "      <th>1/25/20</th>\n",
       "      <th>1/26/20</th>\n",
       "      <th>1/27/20</th>\n",
       "      <th>1/28/20</th>\n",
       "      <th>1/29/20</th>\n",
       "      <th>1/30/20</th>\n",
       "      <th>...</th>\n",
       "      <th>4/21/20</th>\n",
       "      <th>4/22/20</th>\n",
       "      <th>4/23/20</th>\n",
       "      <th>4/24/20</th>\n",
       "      <th>4/25/20</th>\n",
       "      <th>4/26/20</th>\n",
       "      <th>4/27/20</th>\n",
       "      <th>4/28/20</th>\n",
       "      <th>4/29/20</th>\n",
       "      <th>4/30/20</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country/Region</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>36</td>\n",
       "      <td>40</td>\n",
       "      <td>42</td>\n",
       "      <td>43</td>\n",
       "      <td>47</td>\n",
       "      <td>50</td>\n",
       "      <td>57</td>\n",
       "      <td>58</td>\n",
       "      <td>60</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>26</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>392</td>\n",
       "      <td>402</td>\n",
       "      <td>407</td>\n",
       "      <td>415</td>\n",
       "      <td>419</td>\n",
       "      <td>425</td>\n",
       "      <td>432</td>\n",
       "      <td>437</td>\n",
       "      <td>444</td>\n",
       "      <td>450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Andorra</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>41</td>\n",
       "      <td>42</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Angola</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 101 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Province/State  1/22/20  1/23/20  1/24/20  1/25/20  1/26/20  \\\n",
       "Country/Region                                                               \n",
       "Afghanistan                 0        0        0        0        0        0   \n",
       "Albania                     0        0        0        0        0        0   \n",
       "Algeria                     0        0        0        0        0        0   \n",
       "Andorra                     0        0        0        0        0        0   \n",
       "Angola                      0        0        0        0        0        0   \n",
       "\n",
       "                1/27/20  1/28/20  1/29/20  1/30/20  ...  4/21/20  4/22/20  \\\n",
       "Country/Region                                      ...                     \n",
       "Afghanistan           0        0        0        0  ...       36       40   \n",
       "Albania               0        0        0        0  ...       26       27   \n",
       "Algeria               0        0        0        0  ...      392      402   \n",
       "Andorra               0        0        0        0  ...       37       37   \n",
       "Angola                0        0        0        0  ...        2        2   \n",
       "\n",
       "                4/23/20  4/24/20  4/25/20  4/26/20  4/27/20  4/28/20  4/29/20  \\\n",
       "Country/Region                                                                  \n",
       "Afghanistan          42       43       47       50       57       58       60   \n",
       "Albania              27       27       27       28       28       30       30   \n",
       "Algeria             407      415      419      425      432      437      444   \n",
       "Andorra              37       40       40       40       40       41       42   \n",
       "Angola                2        2        2        2        2        2        2   \n",
       "\n",
       "                4/30/20  \n",
       "Country/Region           \n",
       "Afghanistan          64  \n",
       "Albania              31  \n",
       "Algeria             450  \n",
       "Andorra              42  \n",
       "Angola                2  \n",
       "\n",
       "[5 rows x 101 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corona_dataset_aggregated.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(187, 101)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corona_dataset_aggregated.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 2.4: Visualizing data related to a country for example Italy, Spain, USA\n",
    "visualization always helps for better understanding of our data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x23dbb83a870>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# corona_dataset_aggregated.loc['China'] = corona_dataset_aggregated.loc['China'].iloc[1:]\n",
    "corona_dataset_aggregated.loc[\"China\"].plot(color=\"red\")\n",
    "corona_dataset_aggregated.loc[\"Italy\"].plot(color=\"green\")\n",
    "corona_dataset_aggregated.loc[\"Spain\"].plot(color=\"maroon\")\n",
    "corona_dataset_aggregated.loc[\"US\"].plot(color=\"blue\")\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "corona_dataset_aggregated.loc[\"China\"].plot(color=\"red\")\n",
    "corona_dataset_aggregated.loc[\"Italy\"].plot(color=\"green\")\n",
    "corona_dataset_aggregated.loc[\"Spain\"].plot(color=\"maroon\")\n",
    "corona_dataset_aggregated.loc[\"US\"].plot(color=\"blue\")\n",
    "\n",
    "ax = plt.gca()\n",
    "# set the background color of the graph\n",
    "ax.set_facecolor(\"#F5F5DC\")\n",
    "plt.title(\"Confirmed Death Time Series\", fontweight = 'bold')\n",
    "plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task3: Calculating a good measure \n",
    "we need to find a good measure reperestend as a number, describing the spread of the virus in a country. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Province/State     NaN\n",
       "1/22/20             17\n",
       "1/23/20             18\n",
       "1/24/20             26\n",
       "1/25/20             42\n",
       "                  ... \n",
       "4/26/20           4637\n",
       "4/27/20           4637\n",
       "4/28/20           4637\n",
       "4/29/20           4637\n",
       "4/30/20           4637\n",
       "Name: China, Length: 101, dtype: object"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corona_dataset_aggregated.loc['China']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Province/State    NaN\n",
       "1/22/20            17\n",
       "1/23/20            18\n",
       "Name: China, dtype: object"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corona_dataset_aggregated.loc['China'][:3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### task 3.1: calculating the first derivative of the curve (Italy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "corona_dataset_aggregated.loc[\"Italy\"].diff().plot(legend=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### task 3.2: find maximum death rate for Italy, US, Spain, China"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "919"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corona_dataset_aggregated.loc['Italy'].diff().max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2612"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corona_dataset_aggregated.loc['US'].diff().max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "961"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corona_dataset_aggregated.loc['Spain'].diff().max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1290"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corona_dataset_aggregated.loc['China'].diff().max()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 3.3: find maximum death rate for all of the countries. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "# Assuming your date columns are like \"4/22/20\", \"4/24/20\", etc.\n",
    "# Replace it with the actual date columns in your dataset\n",
    "date_columns = corona_dataset_aggregated.columns[1:]  # Assuming the first column is not a date\n",
    "\n",
    "# Get a list of countries\n",
    "countries = list(corona_dataset_aggregated.index)\n",
    "\n",
    "# Initialize a list to store max death rates\n",
    "max_death_rates = []\n",
    "\n",
    "for c in countries:\n",
    "    country_data = corona_dataset_aggregated.loc[c, date_columns]\n",
    "    \n",
    "    # Check if the country_data has sufficient data\n",
    "    if len(country_data) < 2 or country_data.isnull().any():\n",
    "        max_death_rates.append(None)  # or any suitable placeholder\n",
    "        continue\n",
    "    \n",
    "    # Calculate the maximum death rate\n",
    "    max_death_rate = country_data.diff().max()\n",
    "    \n",
    "    max_death_rates.append(max_death_rate)\n",
    "\n",
    "# Add the \"max_death_rate\" column to the DataFrame\n",
    "corona_dataset_aggregated[\"max_death_rate\"] = max_death_rates\n",
    "\n",
    "\n",
    "#corona_dataset_aggregated.dtypes\n",
    "#max_death_rates = corona_dataset_aggregated.apply(\n",
    "#    lambda x: (pd.to_numeric(x.iloc[1:], errors='coerce') - pd.to_numeric(x.iloc[:-1], errors='coerce')).max(),\n",
    "#    axis=1\n",
    "#)\n",
    "\n",
    "# Add the \"max_death_rate\" column\n",
    "#corona_dataset_aggregated[\"max_death_rate\"] = max_death_rates\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "# Calculate maximum daily difference (assuming numerical columns)\n",
    "# max_death_rates = corona_dataset_aggregated.apply(\n",
    "#    lambda x: (x.iloc[1:] - x.iloc[:-1]).max(), axis=1\n",
    "#)\n",
    "\n",
    "# Add the \"max_death_rate\" column\n",
    "#corona_dataset_aggregated[\"max_death_rate\"] = max_death_rates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "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>Province/State</th>\n",
       "      <th>1/22/20</th>\n",
       "      <th>1/23/20</th>\n",
       "      <th>1/24/20</th>\n",
       "      <th>1/25/20</th>\n",
       "      <th>1/26/20</th>\n",
       "      <th>1/27/20</th>\n",
       "      <th>1/28/20</th>\n",
       "      <th>1/29/20</th>\n",
       "      <th>1/30/20</th>\n",
       "      <th>...</th>\n",
       "      <th>4/22/20</th>\n",
       "      <th>4/23/20</th>\n",
       "      <th>4/24/20</th>\n",
       "      <th>4/25/20</th>\n",
       "      <th>4/26/20</th>\n",
       "      <th>4/27/20</th>\n",
       "      <th>4/28/20</th>\n",
       "      <th>4/29/20</th>\n",
       "      <th>4/30/20</th>\n",
       "      <th>max_death_rate</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country/Region</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>40</td>\n",
       "      <td>42</td>\n",
       "      <td>43</td>\n",
       "      <td>47</td>\n",
       "      <td>50</td>\n",
       "      <td>57</td>\n",
       "      <td>58</td>\n",
       "      <td>60</td>\n",
       "      <td>64</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>31</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>402</td>\n",
       "      <td>407</td>\n",
       "      <td>415</td>\n",
       "      <td>419</td>\n",
       "      <td>425</td>\n",
       "      <td>432</td>\n",
       "      <td>437</td>\n",
       "      <td>444</td>\n",
       "      <td>450</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Andorra</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>41</td>\n",
       "      <td>42</td>\n",
       "      <td>42</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Angola</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 102 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Province/State  1/22/20  1/23/20  1/24/20  1/25/20  1/26/20  \\\n",
       "Country/Region                                                               \n",
       "Afghanistan                 0        0        0        0        0        0   \n",
       "Albania                     0        0        0        0        0        0   \n",
       "Algeria                     0        0        0        0        0        0   \n",
       "Andorra                     0        0        0        0        0        0   \n",
       "Angola                      0        0        0        0        0        0   \n",
       "\n",
       "                1/27/20  1/28/20  1/29/20  1/30/20  ...  4/22/20  4/23/20  \\\n",
       "Country/Region                                      ...                     \n",
       "Afghanistan           0        0        0        0  ...       40       42   \n",
       "Albania               0        0        0        0  ...       27       27   \n",
       "Algeria               0        0        0        0  ...      402      407   \n",
       "Andorra               0        0        0        0  ...       37       37   \n",
       "Angola                0        0        0        0  ...        2        2   \n",
       "\n",
       "                4/24/20  4/25/20  4/26/20  4/27/20  4/28/20  4/29/20  4/30/20  \\\n",
       "Country/Region                                                                  \n",
       "Afghanistan          43       47       50       57       58       60       64   \n",
       "Albania              27       27       28       28       30       30       31   \n",
       "Algeria             415      419      425      432      437      444      450   \n",
       "Andorra              40       40       40       40       41       42       42   \n",
       "Angola                2        2        2        2        2        2        2   \n",
       "\n",
       "                max_death_rate  \n",
       "Country/Region                  \n",
       "Afghanistan                  7  \n",
       "Albania                      4  \n",
       "Algeria                     30  \n",
       "Andorra                      4  \n",
       "Angola                       2  \n",
       "\n",
       "[5 rows x 102 columns]"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corona_dataset_aggregated.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 3.4: create a new dataframe with only needed column "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [],
   "source": [
    "corona_data = pd.DataFrame(corona_dataset_aggregated[\"max_death_rate\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "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>max_death_rate</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country/Region</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Andorra</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Angola</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Laos</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Latvia</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lebanon</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Liberia</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Libya</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                max_death_rate\n",
       "Country/Region                \n",
       "Afghanistan                  7\n",
       "Albania                      4\n",
       "Algeria                     30\n",
       "Andorra                      4\n",
       "Angola                       2\n",
       "...                        ...\n",
       "Laos                         0\n",
       "Latvia                       4\n",
       "Lebanon                      2\n",
       "Liberia                      4\n",
       "Libya                        1\n",
       "\n",
       "[100 rows x 1 columns]"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corona_data.head(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method NDFrame.head of                     max_death_rate\n",
       "Country/Region                    \n",
       "Afghanistan                      7\n",
       "Albania                          4\n",
       "Algeria                         30\n",
       "Andorra                          4\n",
       "Angola                           2\n",
       "...                            ...\n",
       "West Bank and Gaza               1\n",
       "Western Sahara                   0\n",
       "Yemen                            2\n",
       "Zambia                           1\n",
       "Zimbabwe                         1\n",
       "\n",
       "[187 rows x 1 columns]>"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corona_data.head"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Assuming you have a DataFrame with 'Country' as the index and 'max_death_rate' as the column\n",
    "# Replace it with your actual DataFrame and column names\n",
    "\n",
    "# Create a scatter plot with larger markers to add space between countries\n",
    "plt.scatter(corona_dataset_aggregated.index, corona_dataset_aggregated['max_death_rate'], label='All Countries', s=50)\n",
    "\n",
    "# Add labels and title\n",
    "plt.xlabel('Country')\n",
    "plt.ylabel('Death Rate')\n",
    "plt.title('Death Rate Across Countries')\n",
    "\n",
    "# Rotate x-axis labels at a 45-degree angle for better readability\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "\n",
    "# Adjust figure size for better spacing\n",
    "plt.gcf().set_size_inches(16, 8)  # Increase the width and height as needed\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Top 5 countries with the highest death rates:\n",
      "                max_death_rate\n",
      "Country/Region                \n",
      "US                        2612\n",
      "France                    1440\n",
      "China                     1290\n",
      "United Kingdom            1172\n",
      "Spain                      961\n"
     ]
    }
   ],
   "source": [
    "# Assuming you have the \"max_death_rate\" column in your DataFrame\n",
    "# Replace it with the actual column name if needed\n",
    "\n",
    "# Find countries with the top 5 highest death rates\n",
    "top_countries = corona_dataset_aggregated.nlargest(5, 'max_death_rate')\n",
    "\n",
    "# Print the results\n",
    "print(\"Top 5 countries with the highest death rates:\")\n",
    "print(top_countries[['max_death_rate']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Average death rate: 69.23529411764706\n"
     ]
    }
   ],
   "source": [
    "# Calculate the average death rate\n",
    "average_death_rate = corona_dataset_aggregated['max_death_rate'].mean()\n",
    "print(\"\\nAverage death rate:\", average_death_rate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Country with the highest death rate:\n",
      "max_death_rate    2612\n",
      "Name: US, dtype: object\n"
     ]
    }
   ],
   "source": [
    "# Find the country with the highest death rate\n",
    "highest_death_rate_country = corona_dataset_aggregated.loc[corona_dataset_aggregated['max_death_rate'].idxmax()]\n",
    "\n",
    "print(\"\\nCountry with the highest death rate:\")\n",
    "print(highest_death_rate_country[['max_death_rate']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Country with the lowest death rate:\n",
      "max_death_rate    0\n",
      "Name: Bhutan, dtype: object\n"
     ]
    }
   ],
   "source": [
    "# Find the country with the lowest death rate\n",
    "lowest_death_rate_country = corona_dataset_aggregated.loc[corona_dataset_aggregated['max_death_rate'].idxmin()]\n",
    "print(\"\\nCountry with the lowest death rate:\")\n",
    "print(lowest_death_rate_country[['max_death_rate']])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task4: \n",
    "- Importing the WorldHappinessReport.csv dataset\n",
    "- selecting needed columns for our analysis \n",
    "- join the datasets \n",
    "- calculate the correlations as the result of our analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 4.1 : importing the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [],
   "source": [
    "happiness_report_csv = pd.read_csv(\"Datasets/worldwide_happiness_report.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "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>Overall rank</th>\n",
       "      <th>Country or region</th>\n",
       "      <th>Score</th>\n",
       "      <th>GDP per capita</th>\n",
       "      <th>Social support</th>\n",
       "      <th>Healthy life expectancy</th>\n",
       "      <th>Freedom to make life choices</th>\n",
       "      <th>Generosity</th>\n",
       "      <th>Perceptions of corruption</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Finland</td>\n",
       "      <td>7.769</td>\n",
       "      <td>1.340</td>\n",
       "      <td>1.587</td>\n",
       "      <td>0.986</td>\n",
       "      <td>0.596</td>\n",
       "      <td>0.153</td>\n",
       "      <td>0.393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>7.600</td>\n",
       "      <td>1.383</td>\n",
       "      <td>1.573</td>\n",
       "      <td>0.996</td>\n",
       "      <td>0.592</td>\n",
       "      <td>0.252</td>\n",
       "      <td>0.410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Norway</td>\n",
       "      <td>7.554</td>\n",
       "      <td>1.488</td>\n",
       "      <td>1.582</td>\n",
       "      <td>1.028</td>\n",
       "      <td>0.603</td>\n",
       "      <td>0.271</td>\n",
       "      <td>0.341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Iceland</td>\n",
       "      <td>7.494</td>\n",
       "      <td>1.380</td>\n",
       "      <td>1.624</td>\n",
       "      <td>1.026</td>\n",
       "      <td>0.591</td>\n",
       "      <td>0.354</td>\n",
       "      <td>0.118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>7.488</td>\n",
       "      <td>1.396</td>\n",
       "      <td>1.522</td>\n",
       "      <td>0.999</td>\n",
       "      <td>0.557</td>\n",
       "      <td>0.322</td>\n",
       "      <td>0.298</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Overall rank Country or region  Score  GDP per capita  Social support  \\\n",
       "0             1           Finland  7.769           1.340           1.587   \n",
       "1             2           Denmark  7.600           1.383           1.573   \n",
       "2             3            Norway  7.554           1.488           1.582   \n",
       "3             4           Iceland  7.494           1.380           1.624   \n",
       "4             5       Netherlands  7.488           1.396           1.522   \n",
       "\n",
       "   Healthy life expectancy  Freedom to make life choices  Generosity  \\\n",
       "0                    0.986                         0.596       0.153   \n",
       "1                    0.996                         0.592       0.252   \n",
       "2                    1.028                         0.603       0.271   \n",
       "3                    1.026                         0.591       0.354   \n",
       "4                    0.999                         0.557       0.322   \n",
       "\n",
       "   Perceptions of corruption  \n",
       "0                      0.393  \n",
       "1                      0.410  \n",
       "2                      0.341  \n",
       "3                      0.118  \n",
       "4                      0.298  "
      ]
     },
     "execution_count": 205,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "happiness_report_csv.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 4.2: let's drop the useless columns "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {},
   "outputs": [],
   "source": [
    "useless_cols = [\"Overall rank\", \"Score\", \"Generosity\", \"Perceptions of corruption\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "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>Country or region</th>\n",
       "      <th>GDP per capita</th>\n",
       "      <th>Social support</th>\n",
       "      <th>Healthy life expectancy</th>\n",
       "      <th>Freedom to make life choices</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Finland</td>\n",
       "      <td>1.340</td>\n",
       "      <td>1.587</td>\n",
       "      <td>0.986</td>\n",
       "      <td>0.596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Denmark</td>\n",
       "      <td>1.383</td>\n",
       "      <td>1.573</td>\n",
       "      <td>0.996</td>\n",
       "      <td>0.592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Norway</td>\n",
       "      <td>1.488</td>\n",
       "      <td>1.582</td>\n",
       "      <td>1.028</td>\n",
       "      <td>0.603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Iceland</td>\n",
       "      <td>1.380</td>\n",
       "      <td>1.624</td>\n",
       "      <td>1.026</td>\n",
       "      <td>0.591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Netherlands</td>\n",
       "      <td>1.396</td>\n",
       "      <td>1.522</td>\n",
       "      <td>0.999</td>\n",
       "      <td>0.557</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Country or region  GDP per capita  Social support  Healthy life expectancy  \\\n",
       "0           Finland           1.340           1.587                    0.986   \n",
       "1           Denmark           1.383           1.573                    0.996   \n",
       "2            Norway           1.488           1.582                    1.028   \n",
       "3           Iceland           1.380           1.624                    1.026   \n",
       "4       Netherlands           1.396           1.522                    0.999   \n",
       "\n",
       "   Freedom to make life choices  \n",
       "0                         0.596  \n",
       "1                         0.592  \n",
       "2                         0.603  \n",
       "3                         0.591  \n",
       "4                         0.557  "
      ]
     },
     "execution_count": 206,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "happiness_report_csv.drop(useless_cols,axis=1,inplace=True)\n",
    "happiness_report_csv.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 4.3: changing the indices of the dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {},
   "outputs": [],
   "source": [
    "happiness_report_csv.set_index(\"Country or region\",inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\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>GDP per capita</th>\n",
       "      <th>Social support</th>\n",
       "      <th>Healthy life expectancy</th>\n",
       "      <th>Freedom to make life choices</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country or region</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Finland</th>\n",
       "      <td>1.340</td>\n",
       "      <td>1.587</td>\n",
       "      <td>0.986</td>\n",
       "      <td>0.596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Denmark</th>\n",
       "      <td>1.383</td>\n",
       "      <td>1.573</td>\n",
       "      <td>0.996</td>\n",
       "      <td>0.592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Norway</th>\n",
       "      <td>1.488</td>\n",
       "      <td>1.582</td>\n",
       "      <td>1.028</td>\n",
       "      <td>0.603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iceland</th>\n",
       "      <td>1.380</td>\n",
       "      <td>1.624</td>\n",
       "      <td>1.026</td>\n",
       "      <td>0.591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Netherlands</th>\n",
       "      <td>1.396</td>\n",
       "      <td>1.522</td>\n",
       "      <td>0.999</td>\n",
       "      <td>0.557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rwanda</th>\n",
       "      <td>0.359</td>\n",
       "      <td>0.711</td>\n",
       "      <td>0.614</td>\n",
       "      <td>0.555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tanzania</th>\n",
       "      <td>0.476</td>\n",
       "      <td>0.885</td>\n",
       "      <td>0.499</td>\n",
       "      <td>0.417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>0.350</td>\n",
       "      <td>0.517</td>\n",
       "      <td>0.361</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central African Republic</th>\n",
       "      <td>0.026</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.105</td>\n",
       "      <td>0.225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Sudan</th>\n",
       "      <td>0.306</td>\n",
       "      <td>0.575</td>\n",
       "      <td>0.295</td>\n",
       "      <td>0.010</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>156 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          GDP per capita  Social support  \\\n",
       "Country or region                                          \n",
       "Finland                            1.340           1.587   \n",
       "Denmark                            1.383           1.573   \n",
       "Norway                             1.488           1.582   \n",
       "Iceland                            1.380           1.624   \n",
       "Netherlands                        1.396           1.522   \n",
       "...                                  ...             ...   \n",
       "Rwanda                             0.359           0.711   \n",
       "Tanzania                           0.476           0.885   \n",
       "Afghanistan                        0.350           0.517   \n",
       "Central African Republic           0.026           0.000   \n",
       "South Sudan                        0.306           0.575   \n",
       "\n",
       "                          Healthy life expectancy  \\\n",
       "Country or region                                   \n",
       "Finland                                     0.986   \n",
       "Denmark                                     0.996   \n",
       "Norway                                      1.028   \n",
       "Iceland                                     1.026   \n",
       "Netherlands                                 0.999   \n",
       "...                                           ...   \n",
       "Rwanda                                      0.614   \n",
       "Tanzania                                    0.499   \n",
       "Afghanistan                                 0.361   \n",
       "Central African Republic                    0.105   \n",
       "South Sudan                                 0.295   \n",
       "\n",
       "                          Freedom to make life choices  \n",
       "Country or region                                       \n",
       "Finland                                          0.596  \n",
       "Denmark                                          0.592  \n",
       "Norway                                           0.603  \n",
       "Iceland                                          0.591  \n",
       "Netherlands                                      0.557  \n",
       "...                                                ...  \n",
       "Rwanda                                           0.555  \n",
       "Tanzania                                         0.417  \n",
       "Afghanistan                                      0.000  \n",
       "Central African Republic                         0.225  \n",
       "South Sudan                                      0.010  \n",
       "\n",
       "[156 rows x 4 columns]"
      ]
     },
     "execution_count": 208,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "happiness_report_csv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task4.4: now let's join two dataset we have prepared  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Corona Dataset :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "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>max_death_rate</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country/Region</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Andorra</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Angola</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                max_death_rate\n",
       "Country/Region                \n",
       "Afghanistan                  7\n",
       "Albania                      4\n",
       "Algeria                     30\n",
       "Andorra                      4\n",
       "Angola                       2"
      ]
     },
     "execution_count": 209,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corona_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### wolrd happiness report Dataset :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(187, 1)"
      ]
     },
     "execution_count": 210,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corona_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GDP per capita</th>\n",
       "      <th>Social support</th>\n",
       "      <th>Healthy life expectancy</th>\n",
       "      <th>Freedom to make life choices</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country or region</th>\n",
       "      <th></th>\n",
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       "    <tr>\n",
       "      <th>Finland</th>\n",
       "      <td>1.340</td>\n",
       "      <td>1.587</td>\n",
       "      <td>0.986</td>\n",
       "      <td>0.596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Denmark</th>\n",
       "      <td>1.383</td>\n",
       "      <td>1.573</td>\n",
       "      <td>0.996</td>\n",
       "      <td>0.592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Norway</th>\n",
       "      <td>1.488</td>\n",
       "      <td>1.582</td>\n",
       "      <td>1.028</td>\n",
       "      <td>0.603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iceland</th>\n",
       "      <td>1.380</td>\n",
       "      <td>1.624</td>\n",
       "      <td>1.026</td>\n",
       "      <td>0.591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Netherlands</th>\n",
       "      <td>1.396</td>\n",
       "      <td>1.522</td>\n",
       "      <td>0.999</td>\n",
       "      <td>0.557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>Rwanda</th>\n",
       "      <td>0.359</td>\n",
       "      <td>0.711</td>\n",
       "      <td>0.614</td>\n",
       "      <td>0.555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tanzania</th>\n",
       "      <td>0.476</td>\n",
       "      <td>0.885</td>\n",
       "      <td>0.499</td>\n",
       "      <td>0.417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>0.350</td>\n",
       "      <td>0.517</td>\n",
       "      <td>0.361</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central African Republic</th>\n",
       "      <td>0.026</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.105</td>\n",
       "      <td>0.225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Sudan</th>\n",
       "      <td>0.306</td>\n",
       "      <td>0.575</td>\n",
       "      <td>0.295</td>\n",
       "      <td>0.010</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>156 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          GDP per capita  Social support  \\\n",
       "Country or region                                          \n",
       "Finland                            1.340           1.587   \n",
       "Denmark                            1.383           1.573   \n",
       "Norway                             1.488           1.582   \n",
       "Iceland                            1.380           1.624   \n",
       "Netherlands                        1.396           1.522   \n",
       "...                                  ...             ...   \n",
       "Rwanda                             0.359           0.711   \n",
       "Tanzania                           0.476           0.885   \n",
       "Afghanistan                        0.350           0.517   \n",
       "Central African Republic           0.026           0.000   \n",
       "South Sudan                        0.306           0.575   \n",
       "\n",
       "                          Healthy life expectancy  \\\n",
       "Country or region                                   \n",
       "Finland                                     0.986   \n",
       "Denmark                                     0.996   \n",
       "Norway                                      1.028   \n",
       "Iceland                                     1.026   \n",
       "Netherlands                                 0.999   \n",
       "...                                           ...   \n",
       "Rwanda                                      0.614   \n",
       "Tanzania                                    0.499   \n",
       "Afghanistan                                 0.361   \n",
       "Central African Republic                    0.105   \n",
       "South Sudan                                 0.295   \n",
       "\n",
       "                          Freedom to make life choices  \n",
       "Country or region                                       \n",
       "Finland                                          0.596  \n",
       "Denmark                                          0.592  \n",
       "Norway                                           0.603  \n",
       "Iceland                                          0.591  \n",
       "Netherlands                                      0.557  \n",
       "...                                                ...  \n",
       "Rwanda                                           0.555  \n",
       "Tanzania                                         0.417  \n",
       "Afghanistan                                      0.000  \n",
       "Central African Republic                         0.225  \n",
       "South Sudan                                      0.010  \n",
       "\n",
       "[156 rows x 4 columns]"
      ]
     },
     "execution_count": 211,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "happiness_report_csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>max_death_rate</th>\n",
       "      <th>GDP per capita</th>\n",
       "      <th>Social support</th>\n",
       "      <th>Healthy life expectancy</th>\n",
       "      <th>Freedom to make life choices</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>7</td>\n",
       "      <td>0.350</td>\n",
       "      <td>0.517</td>\n",
       "      <td>0.361</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>4</td>\n",
       "      <td>0.947</td>\n",
       "      <td>0.848</td>\n",
       "      <td>0.874</td>\n",
       "      <td>0.383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>30</td>\n",
       "      <td>1.002</td>\n",
       "      <td>1.160</td>\n",
       "      <td>0.785</td>\n",
       "      <td>0.086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Argentina</th>\n",
       "      <td>13</td>\n",
       "      <td>1.092</td>\n",
       "      <td>1.432</td>\n",
       "      <td>0.881</td>\n",
       "      <td>0.471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Armenia</th>\n",
       "      <td>3</td>\n",
       "      <td>0.850</td>\n",
       "      <td>1.055</td>\n",
       "      <td>0.815</td>\n",
       "      <td>0.283</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             max_death_rate  GDP per capita  Social support  \\\n",
       "Afghanistan               7           0.350           0.517   \n",
       "Albania                   4           0.947           0.848   \n",
       "Algeria                  30           1.002           1.160   \n",
       "Argentina                13           1.092           1.432   \n",
       "Armenia                   3           0.850           1.055   \n",
       "\n",
       "             Healthy life expectancy  Freedom to make life choices  \n",
       "Afghanistan                    0.361                         0.000  \n",
       "Albania                        0.874                         0.383  \n",
       "Algeria                        0.785                         0.086  \n",
       "Argentina                      0.881                         0.471  \n",
       "Armenia                        0.815                         0.283  "
      ]
     },
     "execution_count": 212,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = corona_data.join(happiness_report_csv,how=\"inner\")\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 4.5: correlation matrix "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "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>max_death_rate</th>\n",
       "      <th>GDP per capita</th>\n",
       "      <th>Social support</th>\n",
       "      <th>Healthy life expectancy</th>\n",
       "      <th>Freedom to make life choices</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>max_death_rate</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.259893</td>\n",
       "      <td>0.204148</td>\n",
       "      <td>0.309666</td>\n",
       "      <td>0.080166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP per capita</th>\n",
       "      <td>0.259893</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.759468</td>\n",
       "      <td>0.863062</td>\n",
       "      <td>0.394603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Social support</th>\n",
       "      <td>0.204148</td>\n",
       "      <td>0.759468</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.765286</td>\n",
       "      <td>0.456246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Healthy life expectancy</th>\n",
       "      <td>0.309666</td>\n",
       "      <td>0.863062</td>\n",
       "      <td>0.765286</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.427892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freedom to make life choices</th>\n",
       "      <td>0.080166</td>\n",
       "      <td>0.394603</td>\n",
       "      <td>0.456246</td>\n",
       "      <td>0.427892</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              max_death_rate  GDP per capita  Social support  \\\n",
       "max_death_rate                      1.000000        0.259893        0.204148   \n",
       "GDP per capita                      0.259893        1.000000        0.759468   \n",
       "Social support                      0.204148        0.759468        1.000000   \n",
       "Healthy life expectancy             0.309666        0.863062        0.765286   \n",
       "Freedom to make life choices        0.080166        0.394603        0.456246   \n",
       "\n",
       "                              Healthy life expectancy  \\\n",
       "max_death_rate                               0.309666   \n",
       "GDP per capita                               0.863062   \n",
       "Social support                               0.765286   \n",
       "Healthy life expectancy                      1.000000   \n",
       "Freedom to make life choices                 0.427892   \n",
       "\n",
       "                              Freedom to make life choices  \n",
       "max_death_rate                                    0.080166  \n",
       "GDP per capita                                    0.394603  \n",
       "Social support                                    0.456246  \n",
       "Healthy life expectancy                           0.427892  \n",
       "Freedom to make life choices                      1.000000  "
      ]
     },
     "execution_count": 213,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pairwise correlation between corona and happiness report:\n",
      "                              max_death_rate  GDP per capita  Social support  \\\n",
      "max_death_rate                      1.000000        0.259893        0.204148   \n",
      "GDP per capita                      0.259893        1.000000        0.759468   \n",
      "Social support                      0.204148        0.759468        1.000000   \n",
      "Healthy life expectancy             0.309666        0.863062        0.765286   \n",
      "Freedom to make life choices        0.080166        0.394603        0.456246   \n",
      "\n",
      "                              Healthy life expectancy  \\\n",
      "max_death_rate                               0.309666   \n",
      "GDP per capita                               0.863062   \n",
      "Social support                               0.765286   \n",
      "Healthy life expectancy                      1.000000   \n",
      "Freedom to make life choices                 0.427892   \n",
      "\n",
      "                              Freedom to make life choices  \n",
      "max_death_rate                                    0.080166  \n",
      "GDP per capita                                    0.394603  \n",
      "Social support                                    0.456246  \n",
      "Healthy life expectancy                           0.427892  \n",
      "Freedom to make life choices                      1.000000  \n"
     ]
    }
   ],
   "source": [
    "print(\"Pairwise correlation between corona and happiness report:\")\n",
    "print(data.corr())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 5: Visualization of the results\n",
    "our Analysis is not finished unless we visualize the results in terms figures and graphs so that everyone can understand what you get out of our analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 250,
   "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>max_death_rate</th>\n",
       "      <th>GDP per capita</th>\n",
       "      <th>Social support</th>\n",
       "      <th>Healthy life expectancy</th>\n",
       "      <th>Freedom to make life choices</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>7</td>\n",
       "      <td>0.350</td>\n",
       "      <td>0.517</td>\n",
       "      <td>0.361</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>4</td>\n",
       "      <td>0.947</td>\n",
       "      <td>0.848</td>\n",
       "      <td>0.874</td>\n",
       "      <td>0.383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>30</td>\n",
       "      <td>1.002</td>\n",
       "      <td>1.160</td>\n",
       "      <td>0.785</td>\n",
       "      <td>0.086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Argentina</th>\n",
       "      <td>13</td>\n",
       "      <td>1.092</td>\n",
       "      <td>1.432</td>\n",
       "      <td>0.881</td>\n",
       "      <td>0.471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Armenia</th>\n",
       "      <td>3</td>\n",
       "      <td>0.850</td>\n",
       "      <td>1.055</td>\n",
       "      <td>0.815</td>\n",
       "      <td>0.283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nicaragua</th>\n",
       "      <td>1</td>\n",
       "      <td>0.694</td>\n",
       "      <td>1.325</td>\n",
       "      <td>0.835</td>\n",
       "      <td>0.435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Niger</th>\n",
       "      <td>4</td>\n",
       "      <td>0.138</td>\n",
       "      <td>0.774</td>\n",
       "      <td>0.366</td>\n",
       "      <td>0.318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nigeria</th>\n",
       "      <td>7</td>\n",
       "      <td>0.696</td>\n",
       "      <td>1.111</td>\n",
       "      <td>0.245</td>\n",
       "      <td>0.426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Macedonia</th>\n",
       "      <td>6</td>\n",
       "      <td>0.983</td>\n",
       "      <td>1.294</td>\n",
       "      <td>0.838</td>\n",
       "      <td>0.345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Norway</th>\n",
       "      <td>16</td>\n",
       "      <td>1.488</td>\n",
       "      <td>1.582</td>\n",
       "      <td>1.028</td>\n",
       "      <td>0.603</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 max_death_rate  GDP per capita  Social support  \\\n",
       "Afghanistan                   7           0.350           0.517   \n",
       "Albania                       4           0.947           0.848   \n",
       "Algeria                      30           1.002           1.160   \n",
       "Argentina                    13           1.092           1.432   \n",
       "Armenia                       3           0.850           1.055   \n",
       "...                         ...             ...             ...   \n",
       "Nicaragua                     1           0.694           1.325   \n",
       "Niger                         4           0.138           0.774   \n",
       "Nigeria                       7           0.696           1.111   \n",
       "North Macedonia               6           0.983           1.294   \n",
       "Norway                       16           1.488           1.582   \n",
       "\n",
       "                 Healthy life expectancy  Freedom to make life choices  \n",
       "Afghanistan                        0.361                         0.000  \n",
       "Albania                            0.874                         0.383  \n",
       "Algeria                            0.785                         0.086  \n",
       "Argentina                          0.881                         0.471  \n",
       "Armenia                            0.815                         0.283  \n",
       "...                                  ...                           ...  \n",
       "Nicaragua                          0.835                         0.435  \n",
       "Niger                              0.366                         0.318  \n",
       "Nigeria                            0.245                         0.426  \n",
       "North Macedonia                    0.838                         0.345  \n",
       "Norway                             1.028                         0.603  \n",
       "\n",
       "[100 rows x 5 columns]"
      ]
     },
     "execution_count": 250,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 5.1: Plotting GDP vs maximum death rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = data[\"GDP per capita\"]\n",
    "y = data[\"max_death_rate\"]\n",
    "\n",
    "# Use scatterplot with x and y as keyword arguments\n",
    "sns.scatterplot(x=x, y=np.log(y))\n",
    "\n",
    "# Add labels and title\n",
    "plt.xlabel('GDP per capita')\n",
    "plt.ylabel('Max Death Rate')\n",
    "plt.title('Scatter Plot: GDP per capita vs Max Death Rate')\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = data[\"GDP per capita\"]\n",
    "y = data[\"max_death_rate\"]\n",
    "\n",
    "# Use regplot with x and y as separate arguments\n",
    "# Use regplot with x and y as separate arguments and include the linear regression line\n",
    "# Use lmplot to include the linear regression line if previous not working\n",
    "sns.regplot(x='GDP per capita', y='max_death_rate', data=data, line_kws={'color': 'red'})\n",
    "\n",
    "# Add labels and title\n",
    "plt.xlabel('GDP per capita')\n",
    "plt.ylabel('Max Death Rate')\n",
    "plt.title('Reg Plot: GDP per capita vs Max Death Rate')\n",
    "\n",
    "# set the background color of the graph\n",
    "ax = plt.gca()\n",
    "ax.set_facecolor(\"#FFEFFF\")\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 5.2: Plotting Social support vs maximum death rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = data[\"Social support\"]\n",
    "y = data [\"max_death_rate\"]\n",
    "# Use scatterplot with x and y as keyword arguments\n",
    "sns.scatterplot(x=x, y=np.log(y))\n",
    "\n",
    "# Add labels and title\n",
    "plt.xlabel(\"Social support\")\n",
    "plt.ylabel('Max Death Rate')\n",
    "plt.title('Scatter Plot: Social support vs Max Death Rate')\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = data[\"Social support\"]\n",
    "y = data[\"max_death_rate\"]\n",
    "\n",
    "# Use regplot with x and y as separate arguments\n",
    "# Use regplot with x and y as separate arguments and include the linear regression line\n",
    "# Use lmplot to include the linear regression line if previous not working\n",
    "sns.regplot(x='Social support', y='max_death_rate', data=data, line_kws={'color': 'red'})\n",
    "\n",
    "# Add labels and title\n",
    "plt.xlabel('Social support')\n",
    "plt.ylabel('Max Death Rate')\n",
    "plt.title('Reg Plot: Social Support vs Max Death Rate')\n",
    "\n",
    "# set the background color of the graph\n",
    "ax = plt.gca()\n",
    "ax.set_facecolor(\"#FFEFFF\")\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Slope: 150.7681\n",
      "Intercept: -109.5638\n",
      "R-value: 0.2041\n",
      "R^2: 0.0417\n",
      "P-value: 0.0145\n",
      "Standard error: 60.8850\n"
     ]
    }
   ],
   "source": [
    "# Find the correlation \n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.stats import linregress\n",
    "\n",
    "# Define x and y using your actual data\n",
    "x = data[\"Social support\"]\n",
    "y = data[\"max_death_rate\"]\n",
    "\n",
    "# Perform linear regression\n",
    "slope, intercept, r_value, p_value, std_err = linregress(x, y)\n",
    "\n",
    "# Create a scatter plot\n",
    "sns.scatterplot(x=x, y=y, label='Data Points')\n",
    "\n",
    "# Add the linear regression line to the plot\n",
    "sns.lineplot(x=x, y=(slope * x + intercept), color='red', label=f'Linear Regression\\nR={r_value:.4f}, R^2={r_value**2:.4f}')\n",
    "\n",
    "# Add labels and title\n",
    "plt.xlabel('Social support')\n",
    "plt.ylabel('Max Death Rate')\n",
    "plt.title('Scatter Plot with Linear Regression: Social support vs Max Death Rate')\n",
    "plt.legend()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n",
    "\n",
    "# Display regression results\n",
    "print(f\"Slope: {slope:.4f}\")\n",
    "print(f\"Intercept: {intercept:.4f}\")\n",
    "print(f\"R-value: {r_value:.4f}\")\n",
    "print(f\"R^2: {r_value**2:.4f}\")\n",
    "print(f\"P-value: {p_value:.4f}\")\n",
    "print(f\"Standard error: {std_err:.4f}\")\n",
    "\n",
    "# Similarly, for R^2:\n",
    "# If R^2 is close to 1, it suggests a strong correlation.\n",
    "# If R^2 is around 0.5, it suggests a moderate correlation.\n",
    "# If R^2 is close to 0, it indicates a weak correlation.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 5.3: Plotting Healthy life expectancy vs maximum death rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\wangs\\AppData\\Local\\Programs\\Python\\Python312\\Lib\\site-packages\\pandas\\core\\arraylike.py:396: RuntimeWarning: divide by zero encountered in log\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = data[\"Healthy life expectancy\"]\n",
    "y = data [\"max_death_rate\"]\n",
    "# Use scatterplot with x and y as keyword arguments\n",
    "sns.scatterplot(x=x, y=np.log(y))\n",
    "\n",
    "# Add labels and title\n",
    "plt.xlabel(\"Healthy life expectancy\")\n",
    "plt.ylabel('Max Death Rate')\n",
    "plt.title('Scatter Plot: Healthy life expectancy vs Max Death Rate')\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = data[\"Healthy life expectancy\"]\n",
    "y = data [\"max_death_rate\"]\n",
    "\n",
    "# Use regplot with x and y as separate arguments\n",
    "# Use regplot with x and y as separate arguments and include the linear regression line\n",
    "# Use lmplot to include the linear regression line if previous not working\n",
    "sns.regplot(x='Healthy life expectancy', y='max_death_rate', data=data, line_kws={'color': 'red'})\n",
    "\n",
    "# Add labels and title\n",
    "plt.xlabel('Healthy life expectancy')\n",
    "plt.ylabel('Max Death Rate')\n",
    "plt.title('Reg Plot: Healthy life expectancy vs Max Death Rate')\n",
    "\n",
    "# set the background color of the graph\n",
    "ax = plt.gca()\n",
    "ax.set_facecolor(\"#FFEFFF\")\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n",
    "\n",
    "# Similarly, for R^2:\n",
    "# If R^2 is close to 1, it suggests a strong correlation.\n",
    "# If R^2 is around 0.5, it suggests a moderate correlation.\n",
    "# If R^2 is close to 0, it indicates a weak correlation.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Slope: 304.4631\n",
      "Intercept: -150.2664\n",
      "R-value: 0.3097\n",
      "R^2: 0.0959\n",
      "P-value: 0.0002\n",
      "Standard error: 78.7302\n"
     ]
    }
   ],
   "source": [
    "# Find the correlation \n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.stats import linregress\n",
    "\n",
    "# Define x and y using your actual data\n",
    "x = data[\"Healthy life expectancy\"]\n",
    "y = data[\"max_death_rate\"]\n",
    "\n",
    "# Perform linear regression\n",
    "slope, intercept, r_value, p_value, std_err = linregress(x, y)\n",
    "\n",
    "# Create a scatter plot\n",
    "sns.scatterplot(x=x, y=y, label='Data Points')\n",
    "\n",
    "# Add the linear regression line to the plot\n",
    "sns.lineplot(x=x, y=(slope * x + intercept), color='red', label=f'Linear Regression\\nR={r_value:.4f}, R^2={r_value**2:.4f}')\n",
    "\n",
    "# Add labels and title\n",
    "plt.xlabel('Healthy life expectancy')\n",
    "plt.ylabel('Max Death Rate')\n",
    "plt.title('Scatter Plot with Linear Regression: Healthy life expectancy vs Max Death Rate')\n",
    "plt.legend()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n",
    "\n",
    "# Display regression results\n",
    "print(f\"Slope: {slope:.4f}\")\n",
    "print(f\"Intercept: {intercept:.4f}\")\n",
    "print(f\"R-value: {r_value:.4f}\")\n",
    "print(f\"R^2: {r_value**2:.4f}\")\n",
    "print(f\"P-value: {p_value:.4f}\")\n",
    "print(f\"Standard error: {std_err:.4f}\")\n",
    "\n",
    "# Similarly, for R^2:\n",
    "# If R^2 is close to 1, it suggests a strong correlation.\n",
    "# If R^2 is around 0.5, it suggests a moderate correlation.\n",
    "# If R^2 is close to 0, it indicates a weak correlation.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 5.4: Plotting Freedom to make life choices vs maximum death rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = data[\"Freedom to make life choices\"]\n",
    "y = data [\"max_death_rate\"]\n",
    "sns.scatterplot(x=x, y=np.log(y))\n",
    "\n",
    "\n",
    "# Add labels and title\n",
    "plt.xlabel(\"Freedom to make life choices\")\n",
    "plt.ylabel('Max Death Rate')\n",
    "plt.title('Scatter Plot: Freedom to make life choices vs Max Death Rate')\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = data[\"Freedom to make life choices\"]\n",
    "y = data [\"max_death_rate\"]\n",
    "\n",
    "# Use regplot with x and y as separate arguments\n",
    "# Use regplot with x and y as separate arguments and include the linear regression line\n",
    "# Use lmplot to include the linear regression line if previous not working\n",
    "sns.regplot(x='Freedom to make life choices', y='max_death_rate', data=data, line_kws={'color': 'red'})\n",
    "\n",
    "# Add labels and title\n",
    "plt.xlabel(\"Freedom to make life choices\")\n",
    "plt.ylabel('Max Death Rate')\n",
    "plt.title('Reg plot: Freedom to make life choices vs Max Death Rate')\n",
    "\n",
    "# set the background color of the graph\n",
    "ax = plt.gca()\n",
    "ax.set_facecolor(\"#FFEFFF\")\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 256,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Slope: 123.7254\n",
      "Intercept: 22.9407\n",
      "R-value: 0.0802\n",
      "R^2: 0.0064\n",
      "P-value: 0.3412\n",
      "Standard error: 129.5570\n"
     ]
    }
   ],
   "source": [
    "# Find the correlation \n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.stats import linregress\n",
    "\n",
    "# Define x and y using your actual data\n",
    "x = data[\"Freedom to make life choices\"]\n",
    "y = data[\"max_death_rate\"]\n",
    "\n",
    "# Perform linear regression\n",
    "slope, intercept, r_value, p_value, std_err = linregress(x, y)\n",
    "\n",
    "# Create a scatter plot\n",
    "sns.scatterplot(x=x, y=y, label='Data Points')\n",
    "\n",
    "# Add the linear regression line to the plot\n",
    "sns.lineplot(x=x, y=(slope * x + intercept), color='red', label=f'Linear Regression\\nR={r_value:.4f}, R^2={r_value**2:.4f}')\n",
    "\n",
    "# Add labels and title\n",
    "plt.xlabel('Freedom to make life choices')\n",
    "plt.ylabel('Max Death Rate')\n",
    "plt.title('Scatter Plot with Linear Regression: Freedom to make life choices vs Max Death Rate')\n",
    "plt.legend()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n",
    "\n",
    "# Display regression results\n",
    "print(f\"Slope: {slope:.4f}\")\n",
    "print(f\"Intercept: {intercept:.4f}\")\n",
    "print(f\"R-value: {r_value:.4f}\")\n",
    "print(f\"R^2: {r_value**2:.4f}\")\n",
    "print(f\"P-value: {p_value:.4f}\")\n",
    "print(f\"Standard error: {std_err:.4f}\")\n",
    "\n",
    "# Similarly, for R^2:\n",
    "# If R^2 is close to 1, it suggests a strong correlation.\n",
    "# If R^2 is around 0.5, it suggests a moderatee correlation.\n",
    "# If R^2 is close to 0, it indicates a weak correlation.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
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