COVID-19 BD.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import numpy as np \n",
    "import matplotlib.pyplot as plt \n",
    "import matplotlib.dates as mdates\n",
    "import plotly.express as px "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# For BD \n",
    "bd = pd.read_csv(\"./bd_data/COVID-19_in_bd.csv\")\n",
    "# Active Cases in BD \n",
    "bd['Active'] = bd['Confirmed'] - bd['Deaths'] - bd['Recovered']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>Active</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>2020-03-09</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>2020-03-10</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>2020-03-11</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>2020-03-12</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date  Confirmed  Deaths  Recovered  Active\n",
       "0  2020-03-08          3       0          0       3\n",
       "1  2020-03-09          3       0          0       3\n",
       "2  2020-03-10          3       0          0       3\n",
       "3  2020-03-11          3       0          0       3\n",
       "4  2020-03-12          3       0          0       3"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# bd data \n",
    "bd.head() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "803"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Confirmed \n",
    "bd['Confirmed'].max() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "39"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Dethas \n",
    "bd['Deaths'].max() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "42"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Recovered \n",
    "bd['Recovered'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "722"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Active \n",
    "bd['Active'].max() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "bd = bd.sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>Active</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>2020-03-09</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>2020-03-10</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>2020-03-11</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>2020-03-12</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>2020-03-13</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>2020-03-14</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>2020-03-15</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>2020-03-17</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>2020-03-18</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>2020-03-19</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>2020-03-20</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>2020-03-21</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>2020-03-22</td>\n",
       "      <td>27</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>2020-03-23</td>\n",
       "      <td>33</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>2020-03-24</td>\n",
       "      <td>39</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>2020-03-25</td>\n",
       "      <td>39</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>44</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>2020-03-27</td>\n",
       "      <td>48</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>2020-03-28</td>\n",
       "      <td>48</td>\n",
       "      <td>5</td>\n",
       "      <td>15</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>2020-03-29</td>\n",
       "      <td>48</td>\n",
       "      <td>5</td>\n",
       "      <td>15</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22</td>\n",
       "      <td>2020-03-30</td>\n",
       "      <td>49</td>\n",
       "      <td>5</td>\n",
       "      <td>19</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23</td>\n",
       "      <td>2020-03-31</td>\n",
       "      <td>51</td>\n",
       "      <td>5</td>\n",
       "      <td>25</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>2020-04-01</td>\n",
       "      <td>54</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>2020-04-02</td>\n",
       "      <td>56</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26</td>\n",
       "      <td>2020-04-03</td>\n",
       "      <td>61</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27</td>\n",
       "      <td>2020-04-04</td>\n",
       "      <td>70</td>\n",
       "      <td>8</td>\n",
       "      <td>30</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      <td>2020-04-05</td>\n",
       "      <td>88</td>\n",
       "      <td>9</td>\n",
       "      <td>30</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29</td>\n",
       "      <td>2020-04-06</td>\n",
       "      <td>123</td>\n",
       "      <td>12</td>\n",
       "      <td>33</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30</td>\n",
       "      <td>2020-04-07</td>\n",
       "      <td>164</td>\n",
       "      <td>17</td>\n",
       "      <td>33</td>\n",
       "      <td>114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31</td>\n",
       "      <td>2020-04-08</td>\n",
       "      <td>218</td>\n",
       "      <td>20</td>\n",
       "      <td>33</td>\n",
       "      <td>165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32</td>\n",
       "      <td>2020-04-09</td>\n",
       "      <td>333</td>\n",
       "      <td>21</td>\n",
       "      <td>33</td>\n",
       "      <td>279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33</td>\n",
       "      <td>2020-04-10</td>\n",
       "      <td>424</td>\n",
       "      <td>27</td>\n",
       "      <td>33</td>\n",
       "      <td>364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34</td>\n",
       "      <td>2020-04-11</td>\n",
       "      <td>482</td>\n",
       "      <td>30</td>\n",
       "      <td>36</td>\n",
       "      <td>416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35</td>\n",
       "      <td>2020-04-12</td>\n",
       "      <td>621</td>\n",
       "      <td>34</td>\n",
       "      <td>39</td>\n",
       "      <td>548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36</td>\n",
       "      <td>2020-04-13</td>\n",
       "      <td>803</td>\n",
       "      <td>39</td>\n",
       "      <td>42</td>\n",
       "      <td>722</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date  Confirmed  Deaths  Recovered  Active\n",
       "0   2020-03-08          3       0          0       3\n",
       "1   2020-03-09          3       0          0       3\n",
       "2   2020-03-10          3       0          0       3\n",
       "3   2020-03-11          3       0          0       3\n",
       "4   2020-03-12          3       0          0       3\n",
       "5   2020-03-13          3       0          0       3\n",
       "6   2020-03-14          3       0          0       3\n",
       "7   2020-03-15          5       0          0       5\n",
       "8   2020-03-16          8       0          0       8\n",
       "9   2020-03-17         10       0          0      10\n",
       "10  2020-03-18         14       1          3      10\n",
       "11  2020-03-19         17       1          3      13\n",
       "12  2020-03-20         20       1          3      16\n",
       "13  2020-03-21         25       1          3      21\n",
       "14  2020-03-22         27       2          3      22\n",
       "15  2020-03-23         33       2          3      28\n",
       "16  2020-03-24         39       3          5      31\n",
       "17  2020-03-25         39       5          7      27\n",
       "18  2020-03-26         44       5         11      28\n",
       "19  2020-03-27         48       5         11      32\n",
       "20  2020-03-28         48       5         15      28\n",
       "21  2020-03-29         48       5         15      28\n",
       "22  2020-03-30         49       5         19      25\n",
       "23  2020-03-31         51       5         25      21\n",
       "24  2020-04-01         54       6         26      22\n",
       "25  2020-04-02         56       6         26      24\n",
       "26  2020-04-03         61       6         26      29\n",
       "27  2020-04-04         70       8         30      32\n",
       "28  2020-04-05         88       9         30      49\n",
       "29  2020-04-06        123      12         33      78\n",
       "30  2020-04-07        164      17         33     114\n",
       "31  2020-04-08        218      20         33     165\n",
       "32  2020-04-09        333      21         33     279\n",
       "33  2020-04-10        424      27         33     364\n",
       "34  2020-04-11        482      30         36     416\n",
       "35  2020-04-12        621      34         39     548\n",
       "36  2020-04-13        803      39         42     722"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "apr = bd.loc[24:].reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>Active</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>2020-04-01</td>\n",
       "      <td>54</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>2020-04-02</td>\n",
       "      <td>56</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>2020-04-03</td>\n",
       "      <td>61</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>2020-04-04</td>\n",
       "      <td>70</td>\n",
       "      <td>8</td>\n",
       "      <td>30</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>2020-04-05</td>\n",
       "      <td>88</td>\n",
       "      <td>9</td>\n",
       "      <td>30</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>2020-04-06</td>\n",
       "      <td>123</td>\n",
       "      <td>12</td>\n",
       "      <td>33</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>2020-04-07</td>\n",
       "      <td>164</td>\n",
       "      <td>17</td>\n",
       "      <td>33</td>\n",
       "      <td>114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>2020-04-08</td>\n",
       "      <td>218</td>\n",
       "      <td>20</td>\n",
       "      <td>33</td>\n",
       "      <td>165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>2020-04-09</td>\n",
       "      <td>333</td>\n",
       "      <td>21</td>\n",
       "      <td>33</td>\n",
       "      <td>279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>2020-04-10</td>\n",
       "      <td>424</td>\n",
       "      <td>27</td>\n",
       "      <td>33</td>\n",
       "      <td>364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>2020-04-11</td>\n",
       "      <td>482</td>\n",
       "      <td>30</td>\n",
       "      <td>36</td>\n",
       "      <td>416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>2020-04-12</td>\n",
       "      <td>621</td>\n",
       "      <td>34</td>\n",
       "      <td>39</td>\n",
       "      <td>548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>2020-04-13</td>\n",
       "      <td>803</td>\n",
       "      <td>39</td>\n",
       "      <td>42</td>\n",
       "      <td>722</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date  Confirmed  Deaths  Recovered  Active\n",
       "0   2020-04-01         54       6         26      22\n",
       "1   2020-04-02         56       6         26      24\n",
       "2   2020-04-03         61       6         26      29\n",
       "3   2020-04-04         70       8         30      32\n",
       "4   2020-04-05         88       9         30      49\n",
       "5   2020-04-06        123      12         33      78\n",
       "6   2020-04-07        164      17         33     114\n",
       "7   2020-04-08        218      20         33     165\n",
       "8   2020-04-09        333      21         33     279\n",
       "9   2020-04-10        424      27         33     364\n",
       "10  2020-04-11        482      30         36     416\n",
       "11  2020-04-12        621      34         39     548\n",
       "12  2020-04-13        803      39         42     722"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "apr "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "alignmentgroup": "True",
         "hovertemplate": "Case=Confirmed<br>Date=%{x}<br>Count=%{y}<extra></extra>",
         "legendgroup": "Confirmed",
         "marker": {
          "color": "#F8766D"
         },
         "name": "Confirmed",
         "offsetgroup": "Confirmed",
         "orientation": "v",
         "showlegend": true,
         "textposition": "auto",
         "type": "bar",
         "x": [
          "2020-04-01",
          "2020-04-02",
          "2020-04-03",
          "2020-04-04",
          "2020-04-05",
          "2020-04-06",
          "2020-04-07",
          "2020-04-08",
          "2020-04-09",
          "2020-04-10",
          "2020-04-11",
          "2020-04-12",
          "2020-04-13"
         ],
         "xaxis": "x",
         "y": [
          54,
          56,
          61,
          70,
          88,
          123,
          164,
          218,
          333,
          424,
          482,
          621,
          803
         ],
         "yaxis": "y"
        },
        {
         "alignmentgroup": "True",
         "hovertemplate": "Case=Recovered<br>Date=%{x}<br>Count=%{y}<extra></extra>",
         "legendgroup": "Recovered",
         "marker": {
          "color": "#A3A500"
         },
         "name": "Recovered",
         "offsetgroup": "Recovered",
         "orientation": "v",
         "showlegend": true,
         "textposition": "auto",
         "type": "bar",
         "x": [
          "2020-04-01",
          "2020-04-02",
          "2020-04-03",
          "2020-04-04",
          "2020-04-05",
          "2020-04-06",
          "2020-04-07",
          "2020-04-08",
          "2020-04-09",
          "2020-04-10",
          "2020-04-11",
          "2020-04-12",
          "2020-04-13"
         ],
         "xaxis": "x",
         "y": [
          26,
          26,
          26,
          30,
          30,
          33,
          33,
          33,
          33,
          33,
          36,
          39,
          42
         ],
         "yaxis": "y"
        },
        {
         "alignmentgroup": "True",
         "hovertemplate": "Case=Deaths<br>Date=%{x}<br>Count=%{y}<extra></extra>",
         "legendgroup": "Deaths",
         "marker": {
          "color": "#00BF7D"
         },
         "name": "Deaths",
         "offsetgroup": "Deaths",
         "orientation": "v",
         "showlegend": true,
         "textposition": "auto",
         "type": "bar",
         "x": [
          "2020-04-01",
          "2020-04-02",
          "2020-04-03",
          "2020-04-04",
          "2020-04-05",
          "2020-04-06",
          "2020-04-07",
          "2020-04-08",
          "2020-04-09",
          "2020-04-10",
          "2020-04-11",
          "2020-04-12",
          "2020-04-13"
         ],
         "xaxis": "x",
         "y": [
          6,
          6,
          6,
          8,
          9,
          12,
          17,
          20,
          21,
          27,
          30,
          34,
          39
         ],
         "yaxis": "y"
        },
        {
         "alignmentgroup": "True",
         "hovertemplate": "Case=Active<br>Date=%{x}<br>Count=%{y}<extra></extra>",
         "legendgroup": "Active",
         "marker": {
          "color": "#00B0F6"
         },
         "name": "Active",
         "offsetgroup": "Active",
         "orientation": "v",
         "showlegend": true,
         "textposition": "auto",
         "type": "bar",
         "x": [
          "2020-04-01",
          "2020-04-02",
          "2020-04-03",
          "2020-04-04",
          "2020-04-05",
          "2020-04-06",
          "2020-04-07",
          "2020-04-08",
          "2020-04-09",
          "2020-04-10",
          "2020-04-11",
          "2020-04-12",
          "2020-04-13"
         ],
         "xaxis": "x",
         "y": [
          22,
          24,
          29,
          32,
          49,
          78,
          114,
          165,
          279,
          364,
          416,
          548,
          722
         ],
         "yaxis": "y"
        }
       ],
       "layout": {
        "barmode": "relative",
        "legend": {
         "title": {
          "text": "Case"
         },
         "tracegroupgap": 0
        },
        "margin": {
         "t": 60
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "rgb(51,51,51)"
            },
            "error_y": {
             "color": "rgb(51,51,51)"
            },
            "marker": {
             "line": {
              "color": "rgb(237,237,237)",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "rgb(237,237,237)",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "rgb(51,51,51)",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "rgb(51,51,51)"
            },
            "baxis": {
             "endlinecolor": "rgb(51,51,51)",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "rgb(51,51,51)"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "tickcolor": "rgb(237,237,237)",
             "ticklen": 6,
             "ticks": "inside"
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "tickcolor": "rgb(237,237,237)",
             "ticklen": 6,
             "ticks": "inside"
            },
            "colorscale": [
             [
              0,
              "rgb(20,44,66)"
             ],
             [
              1,
              "rgb(90,179,244)"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "tickcolor": "rgb(237,237,237)",
             "ticklen": 6,
             "ticks": "inside"
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "tickcolor": "rgb(237,237,237)",
             "ticklen": 6,
             "ticks": "inside"
            },
            "colorscale": [
             [
              0,
              "rgb(20,44,66)"
             ],
             [
              1,
              "rgb(90,179,244)"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "tickcolor": "rgb(237,237,237)",
             "ticklen": 6,
             "ticks": "inside"
            },
            "colorscale": [
             [
              0,
              "rgb(20,44,66)"
             ],
             [
              1,
              "rgb(90,179,244)"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "tickcolor": "rgb(237,237,237)",
              "ticklen": 6,
              "ticks": "inside"
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "tickcolor": "rgb(237,237,237)",
             "ticklen": 6,
             "ticks": "inside"
            },
            "colorscale": [
             [
              0,
              "rgb(20,44,66)"
             ],
             [
              1,
              "rgb(90,179,244)"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "tickcolor": "rgb(237,237,237)",
             "ticklen": 6,
             "ticks": "inside"
            },
            "colorscale": [
             [
              0,
              "rgb(20,44,66)"
             ],
             [
              1,
              "rgb(90,179,244)"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "tickcolor": "rgb(237,237,237)",
             "ticklen": 6,
             "ticks": "inside"
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "tickcolor": "rgb(237,237,237)",
              "ticklen": 6,
              "ticks": "inside"
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "tickcolor": "rgb(237,237,237)",
              "ticklen": 6,
              "ticks": "inside"
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "tickcolor": "rgb(237,237,237)",
              "ticklen": 6,
              "ticks": "inside"
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "tickcolor": "rgb(237,237,237)",
              "ticklen": 6,
              "ticks": "inside"
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "tickcolor": "rgb(237,237,237)",
              "ticklen": 6,
              "ticks": "inside"
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "tickcolor": "rgb(237,237,237)",
              "ticklen": 6,
              "ticks": "inside"
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "tickcolor": "rgb(237,237,237)",
              "ticklen": 6,
              "ticks": "inside"
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "tickcolor": "rgb(237,237,237)",
              "ticklen": 6,
              "ticks": "inside"
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "tickcolor": "rgb(237,237,237)",
              "ticklen": 6,
              "ticks": "inside"
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "tickcolor": "rgb(237,237,237)",
              "ticklen": 6,
              "ticks": "inside"
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "tickcolor": "rgb(237,237,237)",
              "ticklen": 6,
              "ticks": "inside"
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "tickcolor": "rgb(237,237,237)",
             "ticklen": 6,
             "ticks": "inside"
            },
            "colorscale": [
             [
              0,
              "rgb(20,44,66)"
             ],
             [
              1,
              "rgb(90,179,244)"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "rgb(237,237,237)"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "rgb(217,217,217)"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "tickcolor": "rgb(237,237,237)",
            "ticklen": 6,
            "ticks": "inside"
           }
          },
          "colorscale": {
           "sequential": [
            [
             0,
             "rgb(20,44,66)"
            ],
            [
             1,
             "rgb(90,179,244)"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "rgb(20,44,66)"
            ],
            [
             1,
             "rgb(90,179,244)"
            ]
           ]
          },
          "colorway": [
           "#F8766D",
           "#A3A500",
           "#00BF7D",
           "#00B0F6",
           "#E76BF3"
          ],
          "font": {
           "color": "rgb(51,51,51)"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "rgb(237,237,237)",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "paper_bgcolor": "white",
          "plot_bgcolor": "rgb(237,237,237)",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "showgrid": true,
            "tickcolor": "rgb(51,51,51)",
            "ticks": "outside"
           },
           "bgcolor": "rgb(237,237,237)",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "showgrid": true,
            "tickcolor": "rgb(51,51,51)",
            "ticks": "outside"
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "rgb(237,237,237)",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "showgrid": true,
            "tickcolor": "rgb(51,51,51)",
            "ticks": "outside",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "rgb(237,237,237)",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "showgrid": true,
            "tickcolor": "rgb(51,51,51)",
            "ticks": "outside",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "rgb(237,237,237)",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "showgrid": true,
            "tickcolor": "rgb(51,51,51)",
            "ticks": "outside",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "fillcolor": "black",
           "line": {
            "width": 0
           },
           "opacity": 0.3
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "showgrid": true,
            "tickcolor": "rgb(51,51,51)",
            "ticks": "outside"
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "showgrid": true,
            "tickcolor": "rgb(51,51,51)",
            "ticks": "outside"
           },
           "bgcolor": "rgb(237,237,237)",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "showgrid": true,
            "tickcolor": "rgb(51,51,51)",
            "ticks": "outside"
           }
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "showgrid": true,
           "tickcolor": "rgb(51,51,51)",
           "ticks": "outside",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white"
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "showgrid": true,
           "tickcolor": "rgb(51,51,51)",
           "ticks": "outside",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white"
          }
         }
        },
        "title": {
         "text": "COVID-19 Cases in Bangladesh(April)"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "Date"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "Count"
         }
        }
       }
      },
      "text/html": [
       "<div>\n",
       "        \n",
       "        \n",
       "            <div id=\"f78fd792-f8ce-4adb-bc82-d65394735e36\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>\n",
       "            <script type=\"text/javascript\">\n",
       "                require([\"plotly\"], function(Plotly) {\n",
       "                    window.PLOTLYENV=window.PLOTLYENV || {};\n",
       "                    \n",
       "                if (document.getElementById(\"f78fd792-f8ce-4adb-bc82-d65394735e36\")) {\n",
       "                    Plotly.newPlot(\n",
       "                        'f78fd792-f8ce-4adb-bc82-d65394735e36',\n",
       "                        [{\"alignmentgroup\": \"True\", \"hovertemplate\": \"Case=Confirmed<br>Date=%{x}<br>Count=%{y}<extra></extra>\", \"legendgroup\": \"Confirmed\", \"marker\": {\"color\": \"#F8766D\"}, \"name\": \"Confirmed\", \"offsetgroup\": \"Confirmed\", \"orientation\": \"v\", \"showlegend\": true, \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [\"2020-04-01\", \"2020-04-02\", \"2020-04-03\", \"2020-04-04\", \"2020-04-05\", \"2020-04-06\", \"2020-04-07\", \"2020-04-08\", \"2020-04-09\", \"2020-04-10\", \"2020-04-11\", \"2020-04-12\", \"2020-04-13\"], \"xaxis\": \"x\", \"y\": [54, 56, 61, 70, 88, 123, 164, 218, 333, 424, 482, 621, 803], \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"hovertemplate\": \"Case=Recovered<br>Date=%{x}<br>Count=%{y}<extra></extra>\", \"legendgroup\": \"Recovered\", \"marker\": {\"color\": \"#A3A500\"}, \"name\": \"Recovered\", \"offsetgroup\": \"Recovered\", \"orientation\": \"v\", \"showlegend\": true, \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [\"2020-04-01\", \"2020-04-02\", \"2020-04-03\", \"2020-04-04\", \"2020-04-05\", \"2020-04-06\", \"2020-04-07\", \"2020-04-08\", \"2020-04-09\", \"2020-04-10\", \"2020-04-11\", \"2020-04-12\", \"2020-04-13\"], \"xaxis\": \"x\", \"y\": [26, 26, 26, 30, 30, 33, 33, 33, 33, 33, 36, 39, 42], \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"hovertemplate\": \"Case=Deaths<br>Date=%{x}<br>Count=%{y}<extra></extra>\", \"legendgroup\": \"Deaths\", \"marker\": {\"color\": \"#00BF7D\"}, \"name\": \"Deaths\", \"offsetgroup\": \"Deaths\", \"orientation\": \"v\", \"showlegend\": true, \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [\"2020-04-01\", \"2020-04-02\", \"2020-04-03\", \"2020-04-04\", \"2020-04-05\", \"2020-04-06\", \"2020-04-07\", \"2020-04-08\", \"2020-04-09\", \"2020-04-10\", \"2020-04-11\", \"2020-04-12\", \"2020-04-13\"], \"xaxis\": \"x\", \"y\": [6, 6, 6, 8, 9, 12, 17, 20, 21, 27, 30, 34, 39], \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"hovertemplate\": \"Case=Active<br>Date=%{x}<br>Count=%{y}<extra></extra>\", \"legendgroup\": \"Active\", \"marker\": {\"color\": \"#00B0F6\"}, \"name\": \"Active\", \"offsetgroup\": \"Active\", \"orientation\": \"v\", \"showlegend\": true, \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [\"2020-04-01\", \"2020-04-02\", \"2020-04-03\", \"2020-04-04\", \"2020-04-05\", \"2020-04-06\", \"2020-04-07\", \"2020-04-08\", \"2020-04-09\", \"2020-04-10\", \"2020-04-11\", \"2020-04-12\", \"2020-04-13\"], \"xaxis\": \"x\", \"y\": [22, 24, 29, 32, 49, 78, 114, 165, 279, 364, 416, 548, 722], \"yaxis\": \"y\"}],\n",
       "                        {\"barmode\": \"relative\", \"legend\": {\"title\": {\"text\": \"Case\"}, \"tracegroupgap\": 0}, \"margin\": {\"t\": 60}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"rgb(51,51,51)\"}, \"error_y\": {\"color\": \"rgb(51,51,51)\"}, \"marker\": {\"line\": {\"color\": \"rgb(237,237,237)\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"rgb(237,237,237)\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"rgb(51,51,51)\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"rgb(51,51,51)\"}, \"baxis\": {\"endlinecolor\": \"rgb(51,51,51)\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"rgb(51,51,51)\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"tickcolor\": \"rgb(237,237,237)\", \"ticklen\": 6, \"ticks\": \"inside\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"tickcolor\": \"rgb(237,237,237)\", \"ticklen\": 6, \"ticks\": \"inside\"}, \"colorscale\": [[0, \"rgb(20,44,66)\"], [1, \"rgb(90,179,244)\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"tickcolor\": \"rgb(237,237,237)\", \"ticklen\": 6, \"ticks\": \"inside\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"tickcolor\": \"rgb(237,237,237)\", \"ticklen\": 6, \"ticks\": \"inside\"}, \"colorscale\": [[0, \"rgb(20,44,66)\"], [1, \"rgb(90,179,244)\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"tickcolor\": \"rgb(237,237,237)\", \"ticklen\": 6, \"ticks\": \"inside\"}, \"colorscale\": [[0, \"rgb(20,44,66)\"], [1, \"rgb(90,179,244)\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"tickcolor\": \"rgb(237,237,237)\", \"ticklen\": 6, \"ticks\": \"inside\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"tickcolor\": \"rgb(237,237,237)\", \"ticklen\": 6, \"ticks\": \"inside\"}, \"colorscale\": [[0, \"rgb(20,44,66)\"], [1, \"rgb(90,179,244)\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"tickcolor\": \"rgb(237,237,237)\", \"ticklen\": 6, \"ticks\": \"inside\"}, \"colorscale\": [[0, \"rgb(20,44,66)\"], [1, \"rgb(90,179,244)\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"tickcolor\": \"rgb(237,237,237)\", \"ticklen\": 6, \"ticks\": \"inside\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"tickcolor\": \"rgb(237,237,237)\", \"ticklen\": 6, \"ticks\": \"inside\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"tickcolor\": \"rgb(237,237,237)\", \"ticklen\": 6, \"ticks\": \"inside\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"tickcolor\": \"rgb(237,237,237)\", \"ticklen\": 6, \"ticks\": \"inside\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"tickcolor\": \"rgb(237,237,237)\", \"ticklen\": 6, \"ticks\": \"inside\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"tickcolor\": \"rgb(237,237,237)\", \"ticklen\": 6, \"ticks\": \"inside\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"tickcolor\": \"rgb(237,237,237)\", \"ticklen\": 6, \"ticks\": \"inside\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"tickcolor\": \"rgb(237,237,237)\", \"ticklen\": 6, \"ticks\": \"inside\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"tickcolor\": \"rgb(237,237,237)\", \"ticklen\": 6, \"ticks\": \"inside\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"tickcolor\": \"rgb(237,237,237)\", \"ticklen\": 6, \"ticks\": \"inside\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"tickcolor\": \"rgb(237,237,237)\", \"ticklen\": 6, \"ticks\": \"inside\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"tickcolor\": \"rgb(237,237,237)\", \"ticklen\": 6, \"ticks\": \"inside\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"tickcolor\": \"rgb(237,237,237)\", \"ticklen\": 6, \"ticks\": \"inside\"}, \"colorscale\": [[0, \"rgb(20,44,66)\"], [1, \"rgb(90,179,244)\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"rgb(237,237,237)\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"rgb(217,217,217)\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"tickcolor\": \"rgb(237,237,237)\", \"ticklen\": 6, \"ticks\": \"inside\"}}, \"colorscale\": {\"sequential\": [[0, \"rgb(20,44,66)\"], [1, \"rgb(90,179,244)\"]], \"sequentialminus\": [[0, \"rgb(20,44,66)\"], [1, \"rgb(90,179,244)\"]]}, \"colorway\": [\"#F8766D\", \"#A3A500\", \"#00BF7D\", \"#00B0F6\", \"#E76BF3\"], \"font\": {\"color\": \"rgb(51,51,51)\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"rgb(237,237,237)\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"rgb(237,237,237)\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"showgrid\": true, \"tickcolor\": \"rgb(51,51,51)\", \"ticks\": \"outside\"}, \"bgcolor\": \"rgb(237,237,237)\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"showgrid\": true, \"tickcolor\": \"rgb(51,51,51)\", \"ticks\": \"outside\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"rgb(237,237,237)\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"showgrid\": true, \"tickcolor\": \"rgb(51,51,51)\", \"ticks\": \"outside\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"rgb(237,237,237)\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"showgrid\": true, \"tickcolor\": \"rgb(51,51,51)\", \"ticks\": \"outside\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"rgb(237,237,237)\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"showgrid\": true, \"tickcolor\": \"rgb(51,51,51)\", \"ticks\": \"outside\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"fillcolor\": \"black\", \"line\": {\"width\": 0}, \"opacity\": 0.3}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"showgrid\": true, \"tickcolor\": \"rgb(51,51,51)\", \"ticks\": \"outside\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"showgrid\": true, \"tickcolor\": \"rgb(51,51,51)\", \"ticks\": \"outside\"}, \"bgcolor\": \"rgb(237,237,237)\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"showgrid\": true, \"tickcolor\": \"rgb(51,51,51)\", \"ticks\": \"outside\"}}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"showgrid\": true, \"tickcolor\": \"rgb(51,51,51)\", \"ticks\": \"outside\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\"}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"showgrid\": true, \"tickcolor\": \"rgb(51,51,51)\", \"ticks\": \"outside\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\"}}}, \"title\": {\"text\": \"COVID-19 Cases in Bangladesh(April)\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Date\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Count\"}}},\n",
       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('f78fd792-f8ce-4adb-bc82-d65394735e36');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })\n",
       "                };\n",
       "                });\n",
       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Grouping cases by date \n",
    "temp = apr.groupby('Date')['Confirmed', 'Recovered', 'Deaths', 'Active'].sum().reset_index() \n",
    "# Unpivoting \n",
    "temp = temp.melt(id_vars='Date',value_vars = ['Confirmed', 'Recovered', 'Deaths', 'Active'], var_name='Case', value_name='Count') \n",
    "\n",
    "# Visualization\n",
    "fig = px.bar(temp, x='Date', y='Count', color='Case', template='ggplot2') \n",
    "fig.update_layout(title=\"COVID-19 Cases in Bangladesh(April)\")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Linear Scale for Total Confrmed Cases \n",
    "fig = plt.figure(figsize=(10,6))\n",
    "plt.style.use('ggplot')\n",
    "\n",
    "ax = fig.add_subplot(111)\n",
    "ax.plot(bd['Date'], bd['Confirmed'], marker='o', color='purple', linewidth=3, label='Confirmed')\n",
    "ax.plot(bd['Date'], bd['Deaths'], marker='o', color='black', linewidth=3, label='Deaths')\n",
    "ax.plot(bd['Date'], bd['Recovered'], marker='o', color='green', linewidth=3, label='Recovered')\n",
    "ax.plot(bd['Date'], bd['Active'], marker='o', color='red', linewidth=3, label='Active')\n",
    "\n",
    "# ax.xaxis.set_major_formatter(mdates.AutoDateFormatter('%b-%d'))\n",
    "# ax.xaxis_date()\n",
    "\n",
    "ax.set_yscale('linear')  \n",
    "ax.set_xlabel('Days', fontsize=12)\n",
    "ax.set_ylabel('COVID-19 Cases ', fontsize=12)  \n",
    "\n",
    "plt.xticks(fontsize=12) \n",
    "plt.yticks(fontsize=12)\n",
    "\n",
    "plt.tight_layout() \n",
    "plt.legend(loc=\"upper left\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "# For World Data \n",
    "world_data = pd.read_csv(\"./world_data/covid-19_cleaned_data.csv(updated)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "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>Country/Region</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>Date</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Thailand</td>\n",
       "      <td>Thailand</td>\n",
       "      <td>15.0000</td>\n",
       "      <td>101.0000</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Japan</td>\n",
       "      <td>Japan</td>\n",
       "      <td>36.0000</td>\n",
       "      <td>138.0000</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>1.2833</td>\n",
       "      <td>103.8333</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Nepal</td>\n",
       "      <td>Nepal</td>\n",
       "      <td>28.1667</td>\n",
       "      <td>84.2500</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Malaysia</td>\n",
       "      <td>Malaysia</td>\n",
       "      <td>2.5000</td>\n",
       "      <td>112.5000</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Province/State Country/Region      Lat      Long        Date  Confirmed  \\\n",
       "0       Thailand       Thailand  15.0000  101.0000  2020-01-22          2   \n",
       "1          Japan          Japan  36.0000  138.0000  2020-01-22          2   \n",
       "2      Singapore      Singapore   1.2833  103.8333  2020-01-22          0   \n",
       "3          Nepal          Nepal  28.1667   84.2500  2020-01-22          0   \n",
       "4       Malaysia       Malaysia   2.5000  112.5000  2020-01-22          0   \n",
       "\n",
       "   Deaths  Recovered  \n",
       "0       0          0  \n",
       "1       0          0  \n",
       "2       0          0  \n",
       "3       0          0  \n",
       "4       0          0  "
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "world_data.head() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Italy \n",
    "italy = world_data[world_data['Country/Region'] == \"Italy\"].reset_index(drop=True) \n",
    "# Active Cases in Italy \n",
    "italy['Active'] = italy['Confirmed'] - italy['Deaths'] - italy['Recovered']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "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>Country/Region</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>Date</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>Active</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-01-23</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-01-24</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-01-25</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-01-26</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-01-27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-01-28</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-01-29</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-01-30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-01-31</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-02-01</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-02-02</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-02-03</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-02-04</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-02-05</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-02-06</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-02-07</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-02-08</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-02-09</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-02-10</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-02-11</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-02-13</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-02-14</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-02-15</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-02-16</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-02-17</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-02-18</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-02-19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2020-02-20</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Province/State Country/Region   Lat  Long        Date  Confirmed  Deaths  \\\n",
       "0           Italy          Italy  43.0  12.0  2020-01-22          0       0   \n",
       "1           Italy          Italy  43.0  12.0  2020-01-23          0       0   \n",
       "2           Italy          Italy  43.0  12.0  2020-01-24          0       0   \n",
       "3           Italy          Italy  43.0  12.0  2020-01-25          0       0   \n",
       "4           Italy          Italy  43.0  12.0  2020-01-26          0       0   \n",
       "5           Italy          Italy  43.0  12.0  2020-01-27          0       0   \n",
       "6           Italy          Italy  43.0  12.0  2020-01-28          0       0   \n",
       "7           Italy          Italy  43.0  12.0  2020-01-29          0       0   \n",
       "8           Italy          Italy  43.0  12.0  2020-01-30          0       0   \n",
       "9           Italy          Italy  43.0  12.0  2020-01-31          2       0   \n",
       "10          Italy          Italy  43.0  12.0  2020-02-01          2       0   \n",
       "11          Italy          Italy  43.0  12.0  2020-02-02          2       0   \n",
       "12          Italy          Italy  43.0  12.0  2020-02-03          2       0   \n",
       "13          Italy          Italy  43.0  12.0  2020-02-04          2       0   \n",
       "14          Italy          Italy  43.0  12.0  2020-02-05          2       0   \n",
       "15          Italy          Italy  43.0  12.0  2020-02-06          2       0   \n",
       "16          Italy          Italy  43.0  12.0  2020-02-07          3       0   \n",
       "17          Italy          Italy  43.0  12.0  2020-02-08          3       0   \n",
       "18          Italy          Italy  43.0  12.0  2020-02-09          3       0   \n",
       "19          Italy          Italy  43.0  12.0  2020-02-10          3       0   \n",
       "20          Italy          Italy  43.0  12.0  2020-02-11          3       0   \n",
       "21          Italy          Italy  43.0  12.0  2020-02-12          3       0   \n",
       "22          Italy          Italy  43.0  12.0  2020-02-13          3       0   \n",
       "23          Italy          Italy  43.0  12.0  2020-02-14          3       0   \n",
       "24          Italy          Italy  43.0  12.0  2020-02-15          3       0   \n",
       "25          Italy          Italy  43.0  12.0  2020-02-16          3       0   \n",
       "26          Italy          Italy  43.0  12.0  2020-02-17          3       0   \n",
       "27          Italy          Italy  43.0  12.0  2020-02-18          3       0   \n",
       "28          Italy          Italy  43.0  12.0  2020-02-19          3       0   \n",
       "29          Italy          Italy  43.0  12.0  2020-02-20          3       0   \n",
       "\n",
       "    Recovered  Active  \n",
       "0           0       0  \n",
       "1           0       0  \n",
       "2           0       0  \n",
       "3           0       0  \n",
       "4           0       0  \n",
       "5           0       0  \n",
       "6           0       0  \n",
       "7           0       0  \n",
       "8           0       0  \n",
       "9           0       2  \n",
       "10          0       2  \n",
       "11          0       2  \n",
       "12          0       2  \n",
       "13          0       2  \n",
       "14          0       2  \n",
       "15          0       2  \n",
       "16          0       3  \n",
       "17          0       3  \n",
       "18          0       3  \n",
       "19          0       3  \n",
       "20          0       3  \n",
       "21          0       3  \n",
       "22          0       3  \n",
       "23          0       3  \n",
       "24          0       3  \n",
       "25          0       3  \n",
       "26          0       3  \n",
       "27          0       3  \n",
       "28          0       3  \n",
       "29          0       3  "
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "italy_30"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Confirmed in 30 days \n",
    "italy_30['Confirmed'].max() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Deaths in 30 days \n",
    "italy_30['Deaths'].max() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Recovered in 30 days \n",
    "italy_30['Recovered'].max() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Active in 30 days \n",
    "italy_30['Active'].max() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "# For US \n",
    "us = world_data[world_data['Country/Region'] == \"US\"].reset_index(drop=True) \n",
    "us['Active'] = us['Confirmed'] - us['Deaths'] - us['Recovered']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "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>Country/Region</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>Date</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>Active</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Washington</td>\n",
       "      <td>US</td>\n",
       "      <td>47.4009</td>\n",
       "      <td>-121.4905</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>42.1657</td>\n",
       "      <td>-74.9481</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>California</td>\n",
       "      <td>US</td>\n",
       "      <td>36.1162</td>\n",
       "      <td>-119.6816</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Massachusetts</td>\n",
       "      <td>US</td>\n",
       "      <td>42.2302</td>\n",
       "      <td>-71.5301</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Diamond Princess</td>\n",
       "      <td>US</td>\n",
       "      <td>35.4437</td>\n",
       "      <td>139.6380</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Province/State Country/Region      Lat      Long        Date  Confirmed  \\\n",
       "0        Washington             US  47.4009 -121.4905  2020-01-22          0   \n",
       "1          New York             US  42.1657  -74.9481  2020-01-22          0   \n",
       "2        California             US  36.1162 -119.6816  2020-01-22          0   \n",
       "3     Massachusetts             US  42.2302  -71.5301  2020-01-22          0   \n",
       "4  Diamond Princess             US  35.4437  139.6380  2020-01-22          0   \n",
       "\n",
       "   Deaths  Recovered  Active  \n",
       "0       0          0       0  \n",
       "1       0          0       0  \n",
       "2       0          0       0  \n",
       "3       0          0       0  \n",
       "4       0          0       0  "
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "us.head() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "us_30 = us.loc[:29]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "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>Country/Region</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>Date</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>Active</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Washington</td>\n",
       "      <td>US</td>\n",
       "      <td>47.4009</td>\n",
       "      <td>-121.4905</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>42.1657</td>\n",
       "      <td>-74.9481</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>California</td>\n",
       "      <td>US</td>\n",
       "      <td>36.1162</td>\n",
       "      <td>-119.6816</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Massachusetts</td>\n",
       "      <td>US</td>\n",
       "      <td>42.2302</td>\n",
       "      <td>-71.5301</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Diamond Princess</td>\n",
       "      <td>US</td>\n",
       "      <td>35.4437</td>\n",
       "      <td>139.6380</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>Grand Princess</td>\n",
       "      <td>US</td>\n",
       "      <td>37.6489</td>\n",
       "      <td>-122.6655</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>US</td>\n",
       "      <td>33.0406</td>\n",
       "      <td>-83.6431</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>US</td>\n",
       "      <td>39.0598</td>\n",
       "      <td>-105.3111</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>Florida</td>\n",
       "      <td>US</td>\n",
       "      <td>27.7663</td>\n",
       "      <td>-81.6868</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>40.2989</td>\n",
       "      <td>-74.5210</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>Oregon</td>\n",
       "      <td>US</td>\n",
       "      <td>44.5720</td>\n",
       "      <td>-122.0709</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>Texas</td>\n",
       "      <td>US</td>\n",
       "      <td>31.0545</td>\n",
       "      <td>-97.5635</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>Illinois</td>\n",
       "      <td>US</td>\n",
       "      <td>40.3495</td>\n",
       "      <td>-88.9861</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>Pennsylvania</td>\n",
       "      <td>US</td>\n",
       "      <td>40.5908</td>\n",
       "      <td>-77.2098</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>Iowa</td>\n",
       "      <td>US</td>\n",
       "      <td>42.0115</td>\n",
       "      <td>-93.2105</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>US</td>\n",
       "      <td>39.0639</td>\n",
       "      <td>-76.8021</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>North Carolina</td>\n",
       "      <td>US</td>\n",
       "      <td>35.6301</td>\n",
       "      <td>-79.8064</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>South Carolina</td>\n",
       "      <td>US</td>\n",
       "      <td>33.8569</td>\n",
       "      <td>-80.9450</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      <td>Tennessee</td>\n",
       "      <td>US</td>\n",
       "      <td>35.7478</td>\n",
       "      <td>-86.6923</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>Virginia</td>\n",
       "      <td>US</td>\n",
       "      <td>37.7693</td>\n",
       "      <td>-78.1700</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>US</td>\n",
       "      <td>33.7298</td>\n",
       "      <td>-111.4312</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>Indiana</td>\n",
       "      <td>US</td>\n",
       "      <td>39.8494</td>\n",
       "      <td>-86.2583</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>US</td>\n",
       "      <td>37.6681</td>\n",
       "      <td>-84.6701</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>US</td>\n",
       "      <td>38.8974</td>\n",
       "      <td>-77.0268</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>Nevada</td>\n",
       "      <td>US</td>\n",
       "      <td>38.3135</td>\n",
       "      <td>-117.0554</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>New Hampshire</td>\n",
       "      <td>US</td>\n",
       "      <td>43.4525</td>\n",
       "      <td>-71.5639</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26</td>\n",
       "      <td>Minnesota</td>\n",
       "      <td>US</td>\n",
       "      <td>45.6945</td>\n",
       "      <td>-93.9002</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>US</td>\n",
       "      <td>41.1254</td>\n",
       "      <td>-98.2681</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      <td>Ohio</td>\n",
       "      <td>US</td>\n",
       "      <td>40.3888</td>\n",
       "      <td>-82.7649</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>US</td>\n",
       "      <td>41.6809</td>\n",
       "      <td>-71.5118</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Province/State Country/Region      Lat      Long        Date  \\\n",
       "0             Washington             US  47.4009 -121.4905  2020-01-22   \n",
       "1               New York             US  42.1657  -74.9481  2020-01-22   \n",
       "2             California             US  36.1162 -119.6816  2020-01-22   \n",
       "3          Massachusetts             US  42.2302  -71.5301  2020-01-22   \n",
       "4       Diamond Princess             US  35.4437  139.6380  2020-01-22   \n",
       "5         Grand Princess             US  37.6489 -122.6655  2020-01-22   \n",
       "6                Georgia             US  33.0406  -83.6431  2020-01-22   \n",
       "7               Colorado             US  39.0598 -105.3111  2020-01-22   \n",
       "8                Florida             US  27.7663  -81.6868  2020-01-22   \n",
       "9             New Jersey             US  40.2989  -74.5210  2020-01-22   \n",
       "10                Oregon             US  44.5720 -122.0709  2020-01-22   \n",
       "11                 Texas             US  31.0545  -97.5635  2020-01-22   \n",
       "12              Illinois             US  40.3495  -88.9861  2020-01-22   \n",
       "13          Pennsylvania             US  40.5908  -77.2098  2020-01-22   \n",
       "14                  Iowa             US  42.0115  -93.2105  2020-01-22   \n",
       "15              Maryland             US  39.0639  -76.8021  2020-01-22   \n",
       "16        North Carolina             US  35.6301  -79.8064  2020-01-22   \n",
       "17        South Carolina             US  33.8569  -80.9450  2020-01-22   \n",
       "18             Tennessee             US  35.7478  -86.6923  2020-01-22   \n",
       "19              Virginia             US  37.7693  -78.1700  2020-01-22   \n",
       "20               Arizona             US  33.7298 -111.4312  2020-01-22   \n",
       "21               Indiana             US  39.8494  -86.2583  2020-01-22   \n",
       "22              Kentucky             US  37.6681  -84.6701  2020-01-22   \n",
       "23  District of Columbia             US  38.8974  -77.0268  2020-01-22   \n",
       "24                Nevada             US  38.3135 -117.0554  2020-01-22   \n",
       "25         New Hampshire             US  43.4525  -71.5639  2020-01-22   \n",
       "26             Minnesota             US  45.6945  -93.9002  2020-01-22   \n",
       "27              Nebraska             US  41.1254  -98.2681  2020-01-22   \n",
       "28                  Ohio             US  40.3888  -82.7649  2020-01-22   \n",
       "29          Rhode Island             US  41.6809  -71.5118  2020-01-22   \n",
       "\n",
       "    Confirmed  Deaths  Recovered  Active  \n",
       "0           0       0          0       0  \n",
       "1           0       0          0       0  \n",
       "2           0       0          0       0  \n",
       "3           0       0          0       0  \n",
       "4           0       0          0       0  \n",
       "5           0       0          0       0  \n",
       "6           0       0          0       0  \n",
       "7           0       0          0       0  \n",
       "8           0       0          0       0  \n",
       "9           0       0          0       0  \n",
       "10          0       0          0       0  \n",
       "11          0       0          0       0  \n",
       "12          0       0          0       0  \n",
       "13          0       0          0       0  \n",
       "14          0       0          0       0  \n",
       "15          0       0          0       0  \n",
       "16          0       0          0       0  \n",
       "17          0       0          0       0  \n",
       "18          0       0          0       0  \n",
       "19          0       0          0       0  \n",
       "20          0       0          0       0  \n",
       "21          0       0          0       0  \n",
       "22          0       0          0       0  \n",
       "23          0       0          0       0  \n",
       "24          0       0          0       0  \n",
       "25          0       0          0       0  \n",
       "26          0       0          0       0  \n",
       "27          0       0          0       0  \n",
       "28          0       0          0       0  \n",
       "29          0       0          0       0  "
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "us_30"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Confirmed in 30 days \n",
    "us_30['Confirmed'].max() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Deaths in 30 days \n",
    "us_30['Deaths'].max() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Recovered in 30 days \n",
    "us_30['Recovered'].max() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Active in 30 days \n",
    "us_30['Active'].max() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "# For Spain \n",
    "spain = world_data[world_data['Country/Region'] == \"Spain\"].reset_index(drop=True) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "spain_30 = spain.loc[:29]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "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>Country/Region</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>Date</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-01-23</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-01-24</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-01-25</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-01-26</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-01-27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-01-28</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-01-29</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-01-30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-01-31</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-02-01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-02-02</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-02-03</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-02-04</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-02-05</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-02-06</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-02-07</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-02-08</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-02-09</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-02-10</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-02-11</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-02-13</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-02-14</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-02-15</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-02-16</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-02-17</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-02-18</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-02-19</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Spain</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2020-02-20</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Province/State Country/Region   Lat  Long        Date  Confirmed  Deaths  \\\n",
       "0           Spain          Spain  40.0  -4.0  2020-01-22          0       0   \n",
       "1           Spain          Spain  40.0  -4.0  2020-01-23          0       0   \n",
       "2           Spain          Spain  40.0  -4.0  2020-01-24          0       0   \n",
       "3           Spain          Spain  40.0  -4.0  2020-01-25          0       0   \n",
       "4           Spain          Spain  40.0  -4.0  2020-01-26          0       0   \n",
       "5           Spain          Spain  40.0  -4.0  2020-01-27          0       0   \n",
       "6           Spain          Spain  40.0  -4.0  2020-01-28          0       0   \n",
       "7           Spain          Spain  40.0  -4.0  2020-01-29          0       0   \n",
       "8           Spain          Spain  40.0  -4.0  2020-01-30          0       0   \n",
       "9           Spain          Spain  40.0  -4.0  2020-01-31          0       0   \n",
       "10          Spain          Spain  40.0  -4.0  2020-02-01          1       0   \n",
       "11          Spain          Spain  40.0  -4.0  2020-02-02          1       0   \n",
       "12          Spain          Spain  40.0  -4.0  2020-02-03          1       0   \n",
       "13          Spain          Spain  40.0  -4.0  2020-02-04          1       0   \n",
       "14          Spain          Spain  40.0  -4.0  2020-02-05          1       0   \n",
       "15          Spain          Spain  40.0  -4.0  2020-02-06          1       0   \n",
       "16          Spain          Spain  40.0  -4.0  2020-02-07          1       0   \n",
       "17          Spain          Spain  40.0  -4.0  2020-02-08          1       0   \n",
       "18          Spain          Spain  40.0  -4.0  2020-02-09          2       0   \n",
       "19          Spain          Spain  40.0  -4.0  2020-02-10          2       0   \n",
       "20          Spain          Spain  40.0  -4.0  2020-02-11          2       0   \n",
       "21          Spain          Spain  40.0  -4.0  2020-02-12          2       0   \n",
       "22          Spain          Spain  40.0  -4.0  2020-02-13          2       0   \n",
       "23          Spain          Spain  40.0  -4.0  2020-02-14          2       0   \n",
       "24          Spain          Spain  40.0  -4.0  2020-02-15          2       0   \n",
       "25          Spain          Spain  40.0  -4.0  2020-02-16          2       0   \n",
       "26          Spain          Spain  40.0  -4.0  2020-02-17          2       0   \n",
       "27          Spain          Spain  40.0  -4.0  2020-02-18          2       0   \n",
       "28          Spain          Spain  40.0  -4.0  2020-02-19          2       0   \n",
       "29          Spain          Spain  40.0  -4.0  2020-02-20          2       0   \n",
       "\n",
       "    Recovered  \n",
       "0           0  \n",
       "1           0  \n",
       "2           0  \n",
       "3           0  \n",
       "4           0  \n",
       "5           0  \n",
       "6           0  \n",
       "7           0  \n",
       "8           0  \n",
       "9           0  \n",
       "10          0  \n",
       "11          0  \n",
       "12          0  \n",
       "13          0  \n",
       "14          0  \n",
       "15          0  \n",
       "16          0  \n",
       "17          0  \n",
       "18          0  \n",
       "19          0  \n",
       "20          0  \n",
       "21          0  \n",
       "22          0  \n",
       "23          0  \n",
       "24          2  \n",
       "25          2  \n",
       "26          2  \n",
       "27          2  \n",
       "28          2  \n",
       "29          2  "
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spain_30"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Confirmed in 30 days \n",
    "spain_30['Confirmed'].max() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Deaths in 30 days \n",
    "spain_30['Deaths'].max() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Recovered \n",
    "spain_30['Recovered'].max() "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  },
  "latex_envs": {
   "LaTeX_envs_menu_present": true,
   "autoclose": false,
   "autocomplete": true,
   "bibliofile": "biblio.bib",
   "cite_by": "apalike",
   "current_citInitial": 1,
   "eqLabelWithNumbers": true,
   "eqNumInitial": 1,
   "hotkeys": {
    "equation": "Ctrl-E",
    "itemize": "Ctrl-I"
   },
   "labels_anchors": false,
   "latex_user_defs": false,
   "report_style_numbering": false,
   "user_envs_cfg": false
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}