coronavirus-united-states-visualizations-ver2.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<H3>Learning acknowledgement </H3> <p>https://www.kaggle.com/imdevskp/covid-19-analysis-viz-prediction-comparisons <br></p>\n",
    "Its a very basic data visualization done during the process of learning Pandas and Data Science. I hope to improve over time! "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
    "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/kaggle/input/corona-virus-report/covid_19_clean_complete.csv\n",
      "/kaggle/input/corona-virus-report/complete_data_new_format.csv\n"
     ]
    }
   ],
   "source": [
    "# This Python 3 environment comes with many helpful analytics libraries installed\n",
    "# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python\n",
    "# For example, here's several helpful packages to load in \n",
    "\n",
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "import matplotlib.pyplot as plt\n",
    "import plotly.express as px\n",
    "import plotly.graph_objs as go\n",
    "import plotly.figure_factory as ff\n",
    "\n",
    "from IPython.display import Javascript\n",
    "from IPython.core.display import display\n",
    "from IPython.core.display import HTML\n",
    "\n",
    "# Input data files are available in the \"../input/\" directory.\n",
    "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n",
    "\n",
    "import os\n",
    "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
    "    for filename in filenames:\n",
    "        print(os.path.join(dirname, filename))\n",
    "\n",
    "# Any results you write to the current directory are saved as output."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<H2> Reading the dataset </H2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "_cell_guid": "79c7e3d0-c299-4dcb-8224-4455121ee9b0",
    "_uuid": "d629ff2d2480ee46fbb7e2d37f6b5fab8052498a"
   },
   "outputs": [],
   "source": [
    "dataset = pd.read_csv(\"/kaggle/input/corona-virus-report/covid_19_clean_complete.csv\", parse_dates=['Date'])\n",
    "dataset = dataset.drop(['Lat', 'Long'], axis=1)\n",
    "dataset.replace(np.nan, \"NA\", inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<H2> Adding additional coloumn for active state</H2>"
   ]
  },
  {
   "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>Province/State</th>\n",
       "      <th>Country/Region</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",
       "      <th>16045</th>\n",
       "      <td>NA</td>\n",
       "      <td>Belize</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16046</th>\n",
       "      <td>NA</td>\n",
       "      <td>Laos</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16047</th>\n",
       "      <td>NA</td>\n",
       "      <td>Libya</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16048</th>\n",
       "      <td>NA</td>\n",
       "      <td>West Bank and Gaza</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>84</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16049</th>\n",
       "      <td>NA</td>\n",
       "      <td>Guinea-Bissau</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16050</th>\n",
       "      <td>NA</td>\n",
       "      <td>Mali</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16051</th>\n",
       "      <td>NA</td>\n",
       "      <td>Saint Kitts and Nevis</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16052</th>\n",
       "      <td>Northwest Territories</td>\n",
       "      <td>Canada</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16053</th>\n",
       "      <td>Yukon</td>\n",
       "      <td>Canada</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16054</th>\n",
       "      <td>NA</td>\n",
       "      <td>Kosovo</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>71</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Province/State         Country/Region       Date  Confirmed  \\\n",
       "16045                     NA                 Belize 2020-03-26          2   \n",
       "16046                     NA                   Laos 2020-03-26          6   \n",
       "16047                     NA                  Libya 2020-03-26          1   \n",
       "16048                     NA     West Bank and Gaza 2020-03-26         84   \n",
       "16049                     NA          Guinea-Bissau 2020-03-26          2   \n",
       "16050                     NA                   Mali 2020-03-26          4   \n",
       "16051                     NA  Saint Kitts and Nevis 2020-03-26          2   \n",
       "16052  Northwest Territories                 Canada 2020-03-26          1   \n",
       "16053                  Yukon                 Canada 2020-03-26          3   \n",
       "16054                     NA                 Kosovo 2020-03-26         71   \n",
       "\n",
       "       Deaths  Recovered  Active  \n",
       "16045       0          0       2  \n",
       "16046       0          0       6  \n",
       "16047       0          0       1  \n",
       "16048       1         17      66  \n",
       "16049       0          0       2  \n",
       "16050       0          0       4  \n",
       "16051       0          0       2  \n",
       "16052       0          0       1  \n",
       "16053       0          0       3  \n",
       "16054       1          0      70  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset['Active'] = dataset['Confirmed'] - dataset['Deaths'] - dataset['Recovered']\n",
    "dataset.tail(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<H2>Visualizing the crisis Country wise: Top 15 Countries </H2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>Active</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>US</td>\n",
       "      <td>1209</td>\n",
       "      <td>83836</td>\n",
       "      <td>681</td>\n",
       "      <td>81946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>China</td>\n",
       "      <td>3291</td>\n",
       "      <td>81782</td>\n",
       "      <td>74181</td>\n",
       "      <td>4310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Italy</td>\n",
       "      <td>8215</td>\n",
       "      <td>80589</td>\n",
       "      <td>10361</td>\n",
       "      <td>62013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>Spain</td>\n",
       "      <td>4365</td>\n",
       "      <td>57786</td>\n",
       "      <td>7015</td>\n",
       "      <td>46406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Germany</td>\n",
       "      <td>267</td>\n",
       "      <td>43938</td>\n",
       "      <td>5673</td>\n",
       "      <td>37998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>Somalia</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>Papua New Guinea</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>Saint Vincent and the Grenadines</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Libya</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>Timor-Leste</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>175 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Country/Region  Deaths  Confirmed  Recovered  Active\n",
       "163                                US    1209      83836        681   81946\n",
       "33                              China    3291      81782      74181    4310\n",
       "81                              Italy    8215      80589      10361   62013\n",
       "148                             Spain    4365      57786       7015   46406\n",
       "62                            Germany     267      43938       5673   37998\n",
       "..                                ...     ...        ...        ...     ...\n",
       "145                           Somalia       0          2          0       2\n",
       "124                  Papua New Guinea       0          1          0       1\n",
       "136  Saint Vincent and the Grenadines       0          1          0       1\n",
       "94                              Libya       0          1          0       1\n",
       "158                       Timor-Leste       0          1          0       1\n",
       "\n",
       "[175 rows x 5 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "full = dataset[dataset['Date'] == max(dataset['Date'])].reset_index()\n",
    "grouped = full.groupby([\"Country/Region\"])[\"Deaths\", \"Confirmed\", \"Recovered\", \"Active\"].sum().reset_index()\n",
    "grouped = grouped.sort_values(by='Confirmed', ascending=False)\n",
    "groupedTop15 =  grouped[:15]\n",
    "plt.figure(figsize=(30, 10))\n",
    "plt.plot(groupedTop15['Country/Region'], groupedTop15['Deaths'],color='red')\n",
    "plt.plot(groupedTop15['Country/Region'], groupedTop15['Confirmed'])\n",
    "plt.plot(groupedTop15['Country/Region'], groupedTop15['Recovered'], color='green')\n",
    "plt.plot(groupedTop15['Country/Region'], groupedTop15['Active'], color='purple')\n",
    "\n",
    "plt.title('Total Deaths by Country')\n",
    "plt.show()\n",
    "\n",
    "grouped"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<H2>Vizualizing the crisis Country wise by different plotting tool: Top 15 Countries</H2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        requirejs.config({\n",
       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "        \n",
       "        \n",
       "            <div id=\"1bc7753f-4b49-4a41-904b-dec41791b2de\" class=\"plotly-graph-div\" style=\"height:500px; width:100%;\"></div>\n",
       "            <script type=\"text/javascript\">\n",
       "                require([\"plotly\"], function(Plotly) {\n",
       "                    window.PLOTLYENV=window.PLOTLYENV || {};\n",
       "                    \n",
       "                if (document.getElementById(\"1bc7753f-4b49-4a41-904b-dec41791b2de\")) {\n",
       "                    Plotly.newPlot(\n",
       "                        '1bc7753f-4b49-4a41-904b-dec41791b2de',\n",
       "                        [{\"alignmentgroup\": \"True\", \"hoverlabel\": {\"namelength\": 0}, \"hovertemplate\": \"Case=Confirmed<br>Country/Region=%{x}<br>Count=%{text}\", \"legendgroup\": \"Confirmed\", \"marker\": {\"color\": \"#636efa\"}, \"name\": \"Confirmed\", \"offsetgroup\": \"Confirmed\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [83836.0, 81782.0, 80589.0, 57786.0, 43938.0, 29551.0, 29406.0, 11812.0, 11811.0, 9241.0, 7468.0, 6909.0, 6235.0, 4042.0, 3629.0], \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [\"US\", \"China\", \"Italy\", \"Spain\", \"Germany\", \"France\", \"Iran\", \"United Kingdom\", \"Switzerland\", \"South Korea\", \"Netherlands\", \"Austria\", \"Belgium\", \"Canada\", \"Turkey\"], \"xaxis\": \"x\", \"y\": [83836, 81782, 80589, 57786, 43938, 29551, 29406, 11812, 11811, 9241, 7468, 6909, 6235, 4042, 3629], \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"hoverlabel\": {\"namelength\": 0}, \"hovertemplate\": \"Case=Deaths<br>Country/Region=%{x}<br>Count=%{text}\", \"legendgroup\": \"Deaths\", \"marker\": {\"color\": \"#EF553B\"}, \"name\": \"Deaths\", \"offsetgroup\": \"Deaths\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [1209.0, 3291.0, 8215.0, 4365.0, 267.0, 1698.0, 2234.0, 580.0, 191.0, 131.0, 435.0, 49.0, 220.0, 38.0, 75.0], \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [\"US\", \"China\", \"Italy\", \"Spain\", \"Germany\", \"France\", \"Iran\", \"United Kingdom\", \"Switzerland\", \"South Korea\", \"Netherlands\", \"Austria\", \"Belgium\", \"Canada\", \"Turkey\"], \"xaxis\": \"x\", \"y\": [1209, 3291, 8215, 4365, 267, 1698, 2234, 580, 191, 131, 435, 49, 220, 38, 75], \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"hoverlabel\": {\"namelength\": 0}, \"hovertemplate\": \"Case=Recovered<br>Country/Region=%{x}<br>Count=%{text}\", \"legendgroup\": \"Recovered\", \"marker\": {\"color\": \"#00cc96\"}, \"name\": \"Recovered\", \"offsetgroup\": \"Recovered\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [681.0, 74181.0, 10361.0, 7015.0, 5673.0, 4955.0, 10457.0, 150.0, 131.0, 4144.0, 6.0, 112.0, 675.0, 0.0, 26.0], \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [\"US\", \"China\", \"Italy\", \"Spain\", \"Germany\", \"France\", \"Iran\", \"United Kingdom\", \"Switzerland\", \"South Korea\", \"Netherlands\", \"Austria\", \"Belgium\", \"Canada\", \"Turkey\"], \"xaxis\": \"x\", \"y\": [681, 74181, 10361, 7015, 5673, 4955, 10457, 150, 131, 4144, 6, 112, 675, 0, 26], \"yaxis\": \"y\"}],\n",
       "                        {\"barmode\": \"group\", \"height\": 500, \"legend\": {\"title\": {\"text\": \"Case\"}, \"tracegroupgap\": 0}, \"margin\": {\"t\": 60}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Country/Region\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Count\"}}},\n",
       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('1bc7753f-4b49-4a41-904b-dec41791b2de');\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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Confirmed cases in US \n",
      "\n",
      "    Country/Region  Deaths  Confirmed  Recovered  Active\n",
      "163             US    1209      83836        681   81946 \n",
      "\n",
      "Confirmed cases in world\n",
      "Deaths        23970\n",
      "Confirmed    529591\n",
      "Recovered    121966\n",
      "Active       383655\n",
      "dtype: object\n"
     ]
    }
   ],
   "source": [
    "temp = groupedTop15.melt(id_vars=['Country/Region'], value_vars=['Confirmed', 'Deaths', 'Recovered'], var_name='Case', value_name='Count')\n",
    "fig = px.bar(temp, x='Country/Region', y='Count', barmode='group', color='Case', text=\"Count\", height=500)\n",
    "fig.show()\n",
    "\n",
    "# lets see for US how many cases are reported till now\n",
    "us = grouped[grouped['Country/Region']=='US']\n",
    "print(\"Confirmed cases in US \\n\")\n",
    "print(us, \"\\n\")\n",
    "\n",
    "# print the world cases\n",
    "world = grouped.sum(axis=0).drop(['Country/Region'])\n",
    "print(\"Confirmed cases in world\")\n",
    "print(world)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<H2> Grouping data on basis of Country, State and Date </H2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Province/State</th>\n",
       "      <th>Date</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>Active</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14949</th>\n",
       "      <td>US</td>\n",
       "      <td>NA</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>1209</td>\n",
       "      <td>83836</td>\n",
       "      <td>681</td>\n",
       "      <td>81946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9424</th>\n",
       "      <td>Italy</td>\n",
       "      <td>NA</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>8215</td>\n",
       "      <td>80589</td>\n",
       "      <td>10361</td>\n",
       "      <td>62013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4354</th>\n",
       "      <td>China</td>\n",
       "      <td>Hubei</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>3169</td>\n",
       "      <td>67801</td>\n",
       "      <td>61201</td>\n",
       "      <td>3431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13974</th>\n",
       "      <td>Spain</td>\n",
       "      <td>NA</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>4365</td>\n",
       "      <td>57786</td>\n",
       "      <td>7015</td>\n",
       "      <td>46406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8189</th>\n",
       "      <td>Germany</td>\n",
       "      <td>NA</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>267</td>\n",
       "      <td>43938</td>\n",
       "      <td>5673</td>\n",
       "      <td>37998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10269</th>\n",
       "      <td>Libya</td>\n",
       "      <td>NA</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14624</th>\n",
       "      <td>Timor-Leste</td>\n",
       "      <td>NA</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5394</th>\n",
       "      <td>China</td>\n",
       "      <td>Tibet</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13194</th>\n",
       "      <td>Saint Vincent and the Grenadines</td>\n",
       "      <td>NA</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2859</th>\n",
       "      <td>Canada</td>\n",
       "      <td>Northwest Territories</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>246 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Country/Region         Province/State       Date  \\\n",
       "14949                                US                     NA 2020-03-26   \n",
       "9424                              Italy                     NA 2020-03-26   \n",
       "4354                              China                  Hubei 2020-03-26   \n",
       "13974                             Spain                     NA 2020-03-26   \n",
       "8189                            Germany                     NA 2020-03-26   \n",
       "...                                 ...                    ...        ...   \n",
       "10269                             Libya                     NA 2020-03-26   \n",
       "14624                       Timor-Leste                     NA 2020-03-26   \n",
       "5394                              China                  Tibet 2020-03-26   \n",
       "13194  Saint Vincent and the Grenadines                     NA 2020-03-26   \n",
       "2859                             Canada  Northwest Territories 2020-03-26   \n",
       "\n",
       "       Deaths  Confirmed  Recovered  Active  \n",
       "14949    1209      83836        681   81946  \n",
       "9424     8215      80589      10361   62013  \n",
       "4354     3169      67801      61201    3431  \n",
       "13974    4365      57786       7015   46406  \n",
       "8189      267      43938       5673   37998  \n",
       "...       ...        ...        ...     ...  \n",
       "10269       0          1          0       1  \n",
       "14624       0          1          0       1  \n",
       "5394        0          1          1       0  \n",
       "13194       0          1          0       1  \n",
       "2859        0          1          0       1  \n",
       "\n",
       "[246 rows x 7 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped = dataset.groupby([\"Country/Region\", \"Province/State\", \"Date\"])[\"Deaths\", \"Confirmed\", \"Recovered\", \"Active\"].sum().reset_index()\n",
    "grouped = grouped[grouped['Date']==max(grouped['Date'])]\n",
    "grouped = grouped.sort_values(by='Confirmed', ascending=False)\n",
    "grouped = grouped.loc[grouped.sum(axis=1)>0]\n",
    "grouped"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<H2> Finding correlation between Confirmed, Deaths, Recovered</H2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>Active</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Confirmed</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.898479</td>\n",
       "      <td>0.788051</td>\n",
       "      <td>0.863200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Deaths</th>\n",
       "      <td>0.898479</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.703156</td>\n",
       "      <td>0.763774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Recovered</th>\n",
       "      <td>0.788051</td>\n",
       "      <td>0.703156</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.370237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Active</th>\n",
       "      <td>0.863200</td>\n",
       "      <td>0.763774</td>\n",
       "      <td>0.370237</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Confirmed    Deaths  Recovered    Active\n",
       "Confirmed   1.000000  0.898479   0.788051  0.863200\n",
       "Deaths      0.898479  1.000000   0.703156  0.763774\n",
       "Recovered   0.788051  0.703156   1.000000  0.370237\n",
       "Active      0.863200  0.763774   0.370237  1.000000"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<H2>Visualizing the current state in United States</H2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "us = dataset[dataset['Country/Region']=='US'].drop(['Country/Region'], axis=1)\n",
    "us = us[us.sum(axis = 1) > 0]\n",
    "us = us[us['Date'] == max(us['Date'])]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<H2> States with Covid-19 case confirmed</H2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "        \n",
       "        \n",
       "            <div id=\"5cfe121c-69c5-4593-924d-45373ae31b87\" 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(\"5cfe121c-69c5-4593-924d-45373ae31b87\")) {\n",
       "                    Plotly.newPlot(\n",
       "                        '5cfe121c-69c5-4593-924d-45373ae31b87',\n",
       "                        [{\"alignmentgroup\": \"True\", \"hoverlabel\": {\"namelength\": 0}, \"hovertemplate\": \"Province/State=%{x}<br>Confirmed=%{text}\", \"legendgroup\": \"\", \"marker\": {\"color\": \"#636efa\"}, \"name\": \"\", \"offsetgroup\": \"\", \"orientation\": \"v\", \"showlegend\": false, \"text\": [83836.0], \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [\"NA\"], \"xaxis\": \"x\", \"y\": [83836], \"yaxis\": \"y\"}],\n",
       "                        {\"barmode\": \"relative\", \"legend\": {\"tracegroupgap\": 0}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"State wise confirmed cases of COVID-19\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Province/State\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Confirmed\"}}},\n",
       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('5cfe121c-69c5-4593-924d-45373ae31b87');\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"
    },
    {
     "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>Confirmed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NA</td>\n",
       "      <td>83836</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Province/State  Confirmed\n",
       "0             NA      83836"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cases = us\n",
    "cases = cases.groupby(['Province/State'])['Confirmed'].sum().reset_index()\n",
    "fig = px.bar(cases, x='Province/State', y='Confirmed', title='State wise confirmed cases of COVID-19', text='Confirmed')\n",
    "fig.show()\n",
    "cases\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<H2> States with Deaths reported till now and the number of it reported</H2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "        \n",
       "        \n",
       "            <div id=\"9e63a6d3-45e2-44bb-a917-0ed146c8f61c\" 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(\"9e63a6d3-45e2-44bb-a917-0ed146c8f61c\")) {\n",
       "                    Plotly.newPlot(\n",
       "                        '9e63a6d3-45e2-44bb-a917-0ed146c8f61c',\n",
       "                        [{\"alignmentgroup\": \"True\", \"hoverlabel\": {\"namelength\": 0}, \"hovertemplate\": \"Province/State=%{x}<br>Deaths=%{text}\", \"legendgroup\": \"\", \"marker\": {\"color\": \"#636efa\"}, \"name\": \"\", \"offsetgroup\": \"\", \"orientation\": \"v\", \"showlegend\": false, \"text\": [1209.0], \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [\"NA\"], \"xaxis\": \"x\", \"y\": [1209], \"yaxis\": \"y\"}],\n",
       "                        {\"barmode\": \"relative\", \"legend\": {\"tracegroupgap\": 0}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"State wise deaths reported of COVID-19\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Province/State\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Deaths\"}}},\n",
       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('9e63a6d3-45e2-44bb-a917-0ed146c8f61c');\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": [
    "cases = us\n",
    "cases = cases.groupby(['Province/State'])['Deaths'].sum().reset_index()\n",
    "fig = px.bar(cases, x='Province/State', y='Deaths', title='State wise deaths reported of COVID-19', text='Deaths')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<H2> States which have seen recovery </H2> "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "        \n",
       "        \n",
       "            <div id=\"b7d06f0a-8b8e-4bb1-8f54-2e72720352a2\" 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(\"b7d06f0a-8b8e-4bb1-8f54-2e72720352a2\")) {\n",
       "                    Plotly.newPlot(\n",
       "                        'b7d06f0a-8b8e-4bb1-8f54-2e72720352a2',\n",
       "                        [{\"alignmentgroup\": \"True\", \"hoverlabel\": {\"namelength\": 0}, \"hovertemplate\": \"Province/State=%{x}<br>Recovered=%{text}\", \"legendgroup\": \"\", \"marker\": {\"color\": \"#636efa\"}, \"name\": \"\", \"offsetgroup\": \"\", \"orientation\": \"v\", \"showlegend\": false, \"text\": [681.0], \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [\"NA\"], \"xaxis\": \"x\", \"y\": [681], \"yaxis\": \"y\"}],\n",
       "                        {\"barmode\": \"relative\", \"legend\": {\"tracegroupgap\": 0}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"State wise recovered cases of COVID-19\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Province/State\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Recovered\"}}},\n",
       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('b7d06f0a-8b8e-4bb1-8f54-2e72720352a2');\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": [
    "cases = us\n",
    "cases = cases.groupby(['Province/State'])['Recovered'].sum().reset_index()\n",
    "fig = px.bar(cases, x='Province/State', y='Recovered', title='State wise recovered cases of COVID-19', text='Recovered')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<H2> State that have cases reported, but no deaths and recovery reported yet</H2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "        \n",
       "        \n",
       "            <div id=\"2130b698-3b78-48b5-abde-1aff56f345cc\" 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(\"2130b698-3b78-48b5-abde-1aff56f345cc\")) {\n",
       "                    Plotly.newPlot(\n",
       "                        '2130b698-3b78-48b5-abde-1aff56f345cc',\n",
       "                        [],\n",
       "                        {\"barmode\": \"relative\", \"legend\": {\"tracegroupgap\": 0}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Total confirmed cases with no deaths or recovery reported till now in US\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Province/State\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Confirmed\"}}},\n",
       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('2130b698-3b78-48b5-abde-1aff56f345cc');\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": [
    "cases = us[us['Confirmed']==us['Active']]\n",
    "cases = cases.groupby(['Province/State'])['Confirmed', 'Deaths', 'Recovered', 'Active'].sum().reset_index()\n",
    "cases\n",
    "fig = px.bar(cases, x='Province/State', y='Confirmed', text='Active', title='Total confirmed cases with no deaths or recovery reported till now in US')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<H2>States where all the confirmed cases died </H2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "        \n",
       "        \n",
       "            <div id=\"e90c1ec6-c647-4375-bb83-ed7977e4a77c\" 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(\"e90c1ec6-c647-4375-bb83-ed7977e4a77c\")) {\n",
       "                    Plotly.newPlot(\n",
       "                        'e90c1ec6-c647-4375-bb83-ed7977e4a77c',\n",
       "                        [],\n",
       "                        {\"barmode\": \"relative\", \"legend\": {\"tracegroupgap\": 0}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Total confirmed cases with all deaths and no recovery in US\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Province/State\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Deaths\"}}},\n",
       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('e90c1ec6-c647-4375-bb83-ed7977e4a77c');\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": [
    "cases = us[us['Confirmed']==us['Deaths']]\n",
    "cases = cases.groupby(['Province/State'])['Confirmed', 'Deaths', 'Recovered', 'Active'].sum().reset_index()\n",
    "cases\n",
    "fig = px.bar(cases, x='Province/State', y='Deaths', title='Total confirmed cases with all deaths and no recovery in US')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<H2>States where all the confirmed cases recovered </H2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "        \n",
       "        \n",
       "            <div id=\"85e16932-a88d-4a23-9529-607462288b5e\" 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(\"85e16932-a88d-4a23-9529-607462288b5e\")) {\n",
       "                    Plotly.newPlot(\n",
       "                        '85e16932-a88d-4a23-9529-607462288b5e',\n",
       "                        [],\n",
       "                        {\"barmode\": \"relative\", \"legend\": {\"tracegroupgap\": 0}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Total confirmed cases with no deaths and all recovered in US\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Province/State\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Confirmed\"}}},\n",
       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('85e16932-a88d-4a23-9529-607462288b5e');\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": [
    "cases = us[us['Confirmed']==us['Recovered']]\n",
    "cases = cases.groupby(['Province/State'])['Confirmed', 'Deaths', 'Recovered', 'Active'].sum().reset_index()\n",
    "cases\n",
    "fig = px.bar(cases, x='Province/State', y='Confirmed', title='Total confirmed cases with no deaths and all recovered in US')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<H2> Combining the above graph in one </H2> "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "        \n",
       "        \n",
       "            <div id=\"218c0126-1428-47ce-a251-3555fd01e74e\" 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(\"218c0126-1428-47ce-a251-3555fd01e74e\")) {\n",
       "                    Plotly.newPlot(\n",
       "                        '218c0126-1428-47ce-a251-3555fd01e74e',\n",
       "                        [{\"alignmentgroup\": \"True\", \"hoverlabel\": {\"namelength\": 0}, \"hovertemplate\": \"Case=Confirmed<br>Province/State=%{x}<br>Count=%{text}\", \"legendgroup\": \"Confirmed\", \"marker\": {\"color\": \"#636efa\"}, \"name\": \"Confirmed\", \"offsetgroup\": \"Confirmed\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [83836.0], \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [\"NA\"], \"xaxis\": \"x\", \"y\": [83836], \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"hoverlabel\": {\"namelength\": 0}, \"hovertemplate\": \"Case=Deaths<br>Province/State=%{x}<br>Count=%{text}\", \"legendgroup\": \"Deaths\", \"marker\": {\"color\": \"#EF553B\"}, \"name\": \"Deaths\", \"offsetgroup\": \"Deaths\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [1209.0], \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [\"NA\"], \"xaxis\": \"x\", \"y\": [1209], \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"hoverlabel\": {\"namelength\": 0}, \"hovertemplate\": \"Case=Recovered<br>Province/State=%{x}<br>Count=%{text}\", \"legendgroup\": \"Recovered\", \"marker\": {\"color\": \"#00cc96\"}, \"name\": \"Recovered\", \"offsetgroup\": \"Recovered\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [681.0], \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [\"NA\"], \"xaxis\": \"x\", \"y\": [681], \"yaxis\": \"y\"}, {\"alignmentgroup\": \"True\", \"hoverlabel\": {\"namelength\": 0}, \"hovertemplate\": \"Case=Active<br>Province/State=%{x}<br>Count=%{text}\", \"legendgroup\": \"Active\", \"marker\": {\"color\": \"#ab63fa\"}, \"name\": \"Active\", \"offsetgroup\": \"Active\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [81946.0], \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [\"NA\"], \"xaxis\": \"x\", \"y\": [81946], \"yaxis\": \"y\"}],\n",
       "                        {\"barmode\": \"group\", \"legend\": {\"title\": {\"text\": \"Case\"}, \"tracegroupgap\": 0}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"State wise status of COVID-19\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Province/State\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Count\"}}},\n",
       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('218c0126-1428-47ce-a251-3555fd01e74e');\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": [
    "cases = us\n",
    "cases = cases.groupby(['Province/State'])['Confirmed', 'Deaths', 'Recovered', 'Active'].sum().reset_index()\n",
    "cases = pd.melt(cases, id_vars='Province/State', value_vars=['Confirmed', 'Deaths', 'Recovered', 'Active'], value_name='Count', var_name='Case')\n",
    "fig = px.bar(cases, x='Province/State', y='Count', text='Count', barmode='group', color='Case', title='State wise status of COVID-19')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<H2> Visualizing the cases trend over time </H2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "us = dataset[dataset['Country/Region']=='US'].drop(['Country/Region'], axis=1)\n",
    "us = us[us.sum(axis = 1) > 0]\n",
    "cases = us\n",
    "cases = cases.groupby(['Date'])['Confirmed', 'Deaths', 'Recovered', 'Active'].sum().reset_index()\n",
    "cases = cases[cases.sum(axis=1)>0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<H2> Confirmed cases trend</H2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "        \n",
       "        \n",
       "            <div id=\"21a1969f-1846-49dc-b90e-0fe88afcc128\" 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(\"21a1969f-1846-49dc-b90e-0fe88afcc128\")) {\n",
       "                    Plotly.newPlot(\n",
       "                        '21a1969f-1846-49dc-b90e-0fe88afcc128',\n",
       "                        [{\"hoverlabel\": {\"namelength\": 0}, \"hovertemplate\": \"Date=%{x}<br>Confirmed=%{text}\", \"legendgroup\": \"\", \"line\": {\"color\": \"#636efa\", \"dash\": \"solid\"}, \"mode\": \"lines+markers+text\", \"name\": \"\", \"showlegend\": false, \"text\": [1.0, 1.0, 2.0, 2.0, 5.0, 5.0, 5.0, 5.0, 5.0, 7.0, 8.0, 8.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 12.0, 12.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 15.0, 15.0, 15.0, 51.0, 51.0, 57.0, 58.0, 60.0, 68.0, 74.0, 98.0, 118.0, 149.0, 217.0, 262.0, 402.0, 518.0, 583.0, 959.0, 1281.0, 1663.0, 2179.0, 2727.0, 3499.0, 4632.0, 6421.0, 7783.0, 13677.0, 19100.0, 25489.0, 33276.0, 43847.0, 53740.0, 65778.0, 83836.0], \"type\": \"scatter\", \"x\": [\"2020-01-22T00:00:00\", \"2020-01-23T00:00:00\", \"2020-01-24T00:00:00\", \"2020-01-25T00:00:00\", \"2020-01-26T00:00:00\", \"2020-01-27T00:00:00\", \"2020-01-28T00:00:00\", \"2020-01-29T00:00:00\", \"2020-01-30T00:00:00\", \"2020-01-31T00:00:00\", \"2020-02-01T00:00:00\", \"2020-02-02T00:00:00\", \"2020-02-03T00:00:00\", \"2020-02-04T00:00:00\", \"2020-02-05T00:00:00\", \"2020-02-06T00:00:00\", \"2020-02-07T00:00:00\", \"2020-02-08T00:00:00\", \"2020-02-09T00:00:00\", \"2020-02-10T00:00:00\", \"2020-02-11T00:00:00\", \"2020-02-12T00:00:00\", \"2020-02-13T00:00:00\", \"2020-02-14T00:00:00\", \"2020-02-15T00:00:00\", \"2020-02-16T00:00:00\", \"2020-02-17T00:00:00\", \"2020-02-18T00:00:00\", \"2020-02-19T00:00:00\", \"2020-02-20T00:00:00\", \"2020-02-21T00:00:00\", \"2020-02-22T00:00:00\", \"2020-02-23T00:00:00\", \"2020-02-24T00:00:00\", \"2020-02-25T00:00:00\", \"2020-02-26T00:00:00\", \"2020-02-27T00:00:00\", \"2020-02-28T00:00:00\", \"2020-02-29T00:00:00\", \"2020-03-01T00:00:00\", \"2020-03-02T00:00:00\", \"2020-03-03T00:00:00\", \"2020-03-04T00:00:00\", \"2020-03-05T00:00:00\", \"2020-03-06T00:00:00\", \"2020-03-07T00:00:00\", \"2020-03-08T00:00:00\", \"2020-03-09T00:00:00\", \"2020-03-10T00:00:00\", \"2020-03-11T00:00:00\", \"2020-03-12T00:00:00\", \"2020-03-13T00:00:00\", \"2020-03-14T00:00:00\", \"2020-03-15T00:00:00\", \"2020-03-16T00:00:00\", \"2020-03-17T00:00:00\", \"2020-03-18T00:00:00\", \"2020-03-19T00:00:00\", \"2020-03-20T00:00:00\", \"2020-03-21T00:00:00\", \"2020-03-22T00:00:00\", \"2020-03-23T00:00:00\", \"2020-03-24T00:00:00\", \"2020-03-25T00:00:00\", \"2020-03-26T00:00:00\"], \"xaxis\": \"x\", \"y\": [1, 1, 2, 2, 5, 5, 5, 5, 5, 7, 8, 8, 11, 11, 11, 11, 11, 11, 11, 11, 12, 12, 13, 13, 13, 13, 13, 13, 13, 13, 15, 15, 15, 51, 51, 57, 58, 60, 68, 74, 98, 118, 149, 217, 262, 402, 518, 583, 959, 1281, 1663, 2179, 2727, 3499, 4632, 6421, 7783, 13677, 19100, 25489, 33276, 43847, 53740, 65778, 83836], \"yaxis\": \"y\"}],\n",
       "                        {\"legend\": {\"tracegroupgap\": 0}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Over time confirmed status of COVID-19\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Date\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Confirmed\"}}},\n",
       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('21a1969f-1846-49dc-b90e-0fe88afcc128');\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": [
    "fig = px.line(cases, x='Date', y='Confirmed', text='Confirmed', title='Over time confirmed status of COVID-19')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<H2> Deaths trend</H2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "        \n",
       "        \n",
       "            <div id=\"6ab94bc8-b8fa-479e-8800-4497639b9806\" 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(\"6ab94bc8-b8fa-479e-8800-4497639b9806\")) {\n",
       "                    Plotly.newPlot(\n",
       "                        '6ab94bc8-b8fa-479e-8800-4497639b9806',\n",
       "                        [{\"hoverlabel\": {\"namelength\": 0}, \"hovertemplate\": \"Date=%{x}<br>Deaths=%{text}\", \"legendgroup\": \"\", \"line\": {\"color\": \"#636efa\", \"dash\": \"solid\"}, \"mode\": \"lines+markers+text\", \"name\": \"\", \"showlegend\": false, \"text\": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 6.0, 7.0, 11.0, 12.0, 14.0, 17.0, 21.0, 22.0, 28.0, 36.0, 40.0, 47.0, 54.0, 63.0, 85.0, 108.0, 118.0, 200.0, 244.0, 307.0, 417.0, 557.0, 706.0, 942.0, 1209.0], \"type\": \"scatter\", \"x\": [\"2020-01-22T00:00:00\", \"2020-01-23T00:00:00\", \"2020-01-24T00:00:00\", \"2020-01-25T00:00:00\", \"2020-01-26T00:00:00\", \"2020-01-27T00:00:00\", \"2020-01-28T00:00:00\", \"2020-01-29T00:00:00\", \"2020-01-30T00:00:00\", \"2020-01-31T00:00:00\", \"2020-02-01T00:00:00\", \"2020-02-02T00:00:00\", \"2020-02-03T00:00:00\", \"2020-02-04T00:00:00\", \"2020-02-05T00:00:00\", \"2020-02-06T00:00:00\", \"2020-02-07T00:00:00\", \"2020-02-08T00:00:00\", \"2020-02-09T00:00:00\", \"2020-02-10T00:00:00\", \"2020-02-11T00:00:00\", \"2020-02-12T00:00:00\", \"2020-02-13T00:00:00\", \"2020-02-14T00:00:00\", \"2020-02-15T00:00:00\", \"2020-02-16T00:00:00\", \"2020-02-17T00:00:00\", \"2020-02-18T00:00:00\", \"2020-02-19T00:00:00\", \"2020-02-20T00:00:00\", \"2020-02-21T00:00:00\", \"2020-02-22T00:00:00\", \"2020-02-23T00:00:00\", \"2020-02-24T00:00:00\", \"2020-02-25T00:00:00\", \"2020-02-26T00:00:00\", \"2020-02-27T00:00:00\", \"2020-02-28T00:00:00\", \"2020-02-29T00:00:00\", \"2020-03-01T00:00:00\", \"2020-03-02T00:00:00\", \"2020-03-03T00:00:00\", \"2020-03-04T00:00:00\", \"2020-03-05T00:00:00\", \"2020-03-06T00:00:00\", \"2020-03-07T00:00:00\", \"2020-03-08T00:00:00\", \"2020-03-09T00:00:00\", \"2020-03-10T00:00:00\", \"2020-03-11T00:00:00\", \"2020-03-12T00:00:00\", \"2020-03-13T00:00:00\", \"2020-03-14T00:00:00\", \"2020-03-15T00:00:00\", \"2020-03-16T00:00:00\", \"2020-03-17T00:00:00\", \"2020-03-18T00:00:00\", \"2020-03-19T00:00:00\", \"2020-03-20T00:00:00\", \"2020-03-21T00:00:00\", \"2020-03-22T00:00:00\", \"2020-03-23T00:00:00\", \"2020-03-24T00:00:00\", \"2020-03-25T00:00:00\", \"2020-03-26T00:00:00\"], \"xaxis\": \"x\", \"y\": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 6, 7, 11, 12, 14, 17, 21, 22, 28, 36, 40, 47, 54, 63, 85, 108, 118, 200, 244, 307, 417, 557, 706, 942, 1209], \"yaxis\": \"y\"}],\n",
       "                        {\"legend\": {\"tracegroupgap\": 0}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Over time death status of COVID-19\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Date\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Deaths\"}}},\n",
       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('6ab94bc8-b8fa-479e-8800-4497639b9806');\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": [
    "fig = px.line(cases, x='Date', y='Deaths', text='Deaths', title='Over time death status of COVID-19')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<H2> Recovery trend </H2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "        \n",
       "        \n",
       "            <div id=\"1410d47b-becc-49df-b089-8c18ecd29ba5\" 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(\"1410d47b-becc-49df-b089-8c18ecd29ba5\")) {\n",
       "                    Plotly.newPlot(\n",
       "                        '1410d47b-becc-49df-b089-8c18ecd29ba5',\n",
       "                        [{\"hoverlabel\": {\"namelength\": 0}, \"hovertemplate\": \"Date=%{x}<br>Recovered=%{text}\", \"legendgroup\": \"\", \"line\": {\"color\": \"#636efa\", \"dash\": \"solid\"}, \"mode\": \"lines+markers+text\", \"name\": \"\", \"showlegend\": false, \"text\": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 5.0, 5.0, 5.0, 5.0, 6.0, 6.0, 6.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 8.0, 8.0, 12.0, 12.0, 12.0, 12.0, 17.0, 17.0, 105.0, 121.0, 147.0, 176.0, 178.0, 178.0, 348.0, 361.0, 681.0], \"type\": \"scatter\", \"x\": [\"2020-01-22T00:00:00\", \"2020-01-23T00:00:00\", \"2020-01-24T00:00:00\", \"2020-01-25T00:00:00\", \"2020-01-26T00:00:00\", \"2020-01-27T00:00:00\", \"2020-01-28T00:00:00\", \"2020-01-29T00:00:00\", \"2020-01-30T00:00:00\", \"2020-01-31T00:00:00\", \"2020-02-01T00:00:00\", \"2020-02-02T00:00:00\", \"2020-02-03T00:00:00\", \"2020-02-04T00:00:00\", \"2020-02-05T00:00:00\", \"2020-02-06T00:00:00\", \"2020-02-07T00:00:00\", \"2020-02-08T00:00:00\", \"2020-02-09T00:00:00\", \"2020-02-10T00:00:00\", \"2020-02-11T00:00:00\", \"2020-02-12T00:00:00\", \"2020-02-13T00:00:00\", \"2020-02-14T00:00:00\", \"2020-02-15T00:00:00\", \"2020-02-16T00:00:00\", \"2020-02-17T00:00:00\", \"2020-02-18T00:00:00\", \"2020-02-19T00:00:00\", \"2020-02-20T00:00:00\", \"2020-02-21T00:00:00\", \"2020-02-22T00:00:00\", \"2020-02-23T00:00:00\", \"2020-02-24T00:00:00\", \"2020-02-25T00:00:00\", \"2020-02-26T00:00:00\", \"2020-02-27T00:00:00\", \"2020-02-28T00:00:00\", \"2020-02-29T00:00:00\", \"2020-03-01T00:00:00\", \"2020-03-02T00:00:00\", \"2020-03-03T00:00:00\", \"2020-03-04T00:00:00\", \"2020-03-05T00:00:00\", \"2020-03-06T00:00:00\", \"2020-03-07T00:00:00\", \"2020-03-08T00:00:00\", \"2020-03-09T00:00:00\", \"2020-03-10T00:00:00\", \"2020-03-11T00:00:00\", \"2020-03-12T00:00:00\", \"2020-03-13T00:00:00\", \"2020-03-14T00:00:00\", \"2020-03-15T00:00:00\", \"2020-03-16T00:00:00\", \"2020-03-17T00:00:00\", \"2020-03-18T00:00:00\", \"2020-03-19T00:00:00\", \"2020-03-20T00:00:00\", \"2020-03-21T00:00:00\", \"2020-03-22T00:00:00\", \"2020-03-23T00:00:00\", \"2020-03-24T00:00:00\", \"2020-03-25T00:00:00\", \"2020-03-26T00:00:00\"], \"xaxis\": \"x\", \"y\": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5, 5, 5, 5, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 8, 8, 12, 12, 12, 12, 17, 17, 105, 121, 147, 176, 178, 178, 348, 361, 681], \"yaxis\": \"y\"}],\n",
       "                        {\"legend\": {\"tracegroupgap\": 0}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Over time recovery status of COVID-19\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Date\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Recovered\"}}},\n",
       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('1410d47b-becc-49df-b089-8c18ecd29ba5');\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": [
    "fig = px.line(cases, x='Date', y='Recovered', text='Recovered', title='Over time recovery status of COVID-19')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<H2> Active status trend </H2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "        \n",
       "        \n",
       "            <div id=\"6c8b6fce-370a-44e4-a049-661e32e2f7c7\" 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(\"6c8b6fce-370a-44e4-a049-661e32e2f7c7\")) {\n",
       "                    Plotly.newPlot(\n",
       "                        '6c8b6fce-370a-44e4-a049-661e32e2f7c7',\n",
       "                        [{\"hoverlabel\": {\"namelength\": 0}, \"hovertemplate\": \"Date=%{x}<br>Active=%{text}\", \"legendgroup\": \"\", \"line\": {\"color\": \"#636efa\", \"dash\": \"solid\"}, \"mode\": \"lines+markers+text\", \"name\": \"\", \"showlegend\": false, \"text\": [1.0, 1.0, 2.0, 2.0, 5.0, 5.0, 5.0, 5.0, 5.0, 7.0, 8.0, 8.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 8.0, 8.0, 9.0, 9.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 46.0, 45.0, 51.0, 52.0, 53.0, 60.0, 66.0, 85.0, 104.0, 131.0, 198.0, 241.0, 378.0, 490.0, 554.0, 923.0, 1237.0, 1611.0, 2120.0, 2661.0, 3424.0, 4530.0, 6296.0, 7560.0, 13356.0, 18709.0, 25006.0, 32681.0, 43112.0, 52686.0, 64475.0, 81946.0], \"type\": \"scatter\", \"x\": [\"2020-01-22T00:00:00\", \"2020-01-23T00:00:00\", \"2020-01-24T00:00:00\", \"2020-01-25T00:00:00\", \"2020-01-26T00:00:00\", \"2020-01-27T00:00:00\", \"2020-01-28T00:00:00\", \"2020-01-29T00:00:00\", \"2020-01-30T00:00:00\", \"2020-01-31T00:00:00\", \"2020-02-01T00:00:00\", \"2020-02-02T00:00:00\", \"2020-02-03T00:00:00\", \"2020-02-04T00:00:00\", \"2020-02-05T00:00:00\", \"2020-02-06T00:00:00\", \"2020-02-07T00:00:00\", \"2020-02-08T00:00:00\", \"2020-02-09T00:00:00\", \"2020-02-10T00:00:00\", \"2020-02-11T00:00:00\", \"2020-02-12T00:00:00\", \"2020-02-13T00:00:00\", \"2020-02-14T00:00:00\", \"2020-02-15T00:00:00\", \"2020-02-16T00:00:00\", \"2020-02-17T00:00:00\", \"2020-02-18T00:00:00\", \"2020-02-19T00:00:00\", \"2020-02-20T00:00:00\", \"2020-02-21T00:00:00\", \"2020-02-22T00:00:00\", \"2020-02-23T00:00:00\", \"2020-02-24T00:00:00\", \"2020-02-25T00:00:00\", \"2020-02-26T00:00:00\", \"2020-02-27T00:00:00\", \"2020-02-28T00:00:00\", \"2020-02-29T00:00:00\", \"2020-03-01T00:00:00\", \"2020-03-02T00:00:00\", \"2020-03-03T00:00:00\", \"2020-03-04T00:00:00\", \"2020-03-05T00:00:00\", \"2020-03-06T00:00:00\", \"2020-03-07T00:00:00\", \"2020-03-08T00:00:00\", \"2020-03-09T00:00:00\", \"2020-03-10T00:00:00\", \"2020-03-11T00:00:00\", \"2020-03-12T00:00:00\", \"2020-03-13T00:00:00\", \"2020-03-14T00:00:00\", \"2020-03-15T00:00:00\", \"2020-03-16T00:00:00\", \"2020-03-17T00:00:00\", \"2020-03-18T00:00:00\", \"2020-03-19T00:00:00\", \"2020-03-20T00:00:00\", \"2020-03-21T00:00:00\", \"2020-03-22T00:00:00\", \"2020-03-23T00:00:00\", \"2020-03-24T00:00:00\", \"2020-03-25T00:00:00\", \"2020-03-26T00:00:00\"], \"xaxis\": \"x\", \"y\": [1, 1, 2, 2, 5, 5, 5, 5, 5, 7, 8, 8, 11, 11, 11, 11, 11, 11, 8, 8, 9, 9, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 46, 45, 51, 52, 53, 60, 66, 85, 104, 131, 198, 241, 378, 490, 554, 923, 1237, 1611, 2120, 2661, 3424, 4530, 6296, 7560, 13356, 18709, 25006, 32681, 43112, 52686, 64475, 81946], \"yaxis\": \"y\"}],\n",
       "                        {\"legend\": {\"tracegroupgap\": 0}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Over time active status of COVID-19\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Date\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Active\"}}},\n",
       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('6c8b6fce-370a-44e4-a049-661e32e2f7c7');\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": [
    "fig = px.line(cases, x='Date', y='Active', text='Active', title='Over time active status of COVID-19')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}