covid19globalcases.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***Exploring data on COVID-19***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        warning_div.style.display = \"none\";\n",
       "    };\n",
       "    if (typeof Jupyter !== \"undefined\") {\n",
       "        console.log(\"WebIO detected Jupyter notebook environment.\");\n",
       "        // Jupyter notebook.\n",
       "        var extensions = (\n",
       "            Jupyter\n",
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       "        console.log(\"Jupyter Lab detected; make sure the @webio/jupyter-lab-provider labextension is installed.\");\n",
       "        hide();\n",
       "        return;\n",
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       "\n",
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       "    the WebIO/IJulia documentation</a>.\n",
       "    <!-- TODO: link to installation docs. -->\n",
       "</p>\n"
      ],
      "text/plain": [
       "HTML{String}(\"<script>\\n// Immediately-invoked-function-expression to avoid global variables.\\n(function() {\\n    var warning_div = document.getElementById(\\\"webio-warning-17746801748247525954\\\");\\n    var hide = function () {\\n        var script = document.getElementById(\\\"webio-setup-12202355560904268088\\\");\\n        var parent = script && script.parentElement;\\n        var grandparent = parent && parent.parentElement;\\n        if (grandparent) {\\n            grandparent.style.display = \\\"none\\\";\\n        }\\n        warning_div.style.display = \\\"none\\\";\\n    };\\n    if (typeof Jupyter !== \\\"undefined\\\") {\\n        console.log(\\\"WebIO detected Jupyter notebook environment.\\\");\\n        // Jupyter notebook.\\n        var extensions = (\\n            Jupyter\\n            && Jupyter.notebook.config.data\\n            && Jupyter.notebook.config.data.load_extensions\\n        );\\n        if (extensions && extensions[\\\"webio-jupyter-notebook\\\"]) {\\n            // Extension already loaded.\\n            console.log(\\\"Jupyter WebIO nbextension detected; not loading ad-hoc.\\\");\\n            hide();\\n            return;\\n        }\\n    } else if (window.location.pathname.includes(\\\"/lab\\\")) {\\n        // Guessing JupyterLa\\n        console.log(\\\"Jupyter Lab detected; make sure the @webio/jupyter-lab-provider labextension is installed.\\\");\\n        hide();\\n        return;\\n    }\\n})();\\n\\n</script>\\n<p\\n    id=\\\"webio-warning-17746801748247525954\\\"\\n    class=\\\"output_text output_stderr\\\"\\n    style=\\\"padding: 1em; font-weight: bold;\\\"\\n>\\n    Unable to load WebIO. Please make sure WebIO works for your Jupyter client.\\n    For troubleshooting, please see <a href=\\\"https://juliagizmos.github.io/WebIO.jl/latest/providers/ijulia/\\\">\\n    the WebIO/IJulia documentation</a>.\\n    <!-- TODO: link to installation docs. -->\\n</p>\\n\")"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "using Interact\n",
    "using CSV\n",
    "using DataFrames\n",
    "using Dates\n",
    "using PlotThemes\n",
    "using WebIO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv\""
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Open your web browser and search for johns hopkins coronavirus data github -> CSSEGISandData/COVID-19->COVID-19\n",
    "# ->csse_covid_19_data->csse covid 19 timer series. Select the time series covid19 confirmed global.csv file and on the top\n",
    "# right corner of the page click on raw. You will be presented with the actual csv file and proceed into copying the whole link\n",
    "# in the web browser search bar.\n",
    "\n",
    "url = \"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv\""
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "download() retrievs the data. Note the arguments in parentheses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"covid_19_confirmed_global.csv\""
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#File will be downloaded in the same directory(folder) where the .ipynb file is located\n",
    "download(url, \"covid_19_confirmed_global.csv\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"data-frame\"><thead><tr><th></th><th>Province/State</th><th>Country/Region</th><th>Lat</th><th>Long</th><th>1/22/20</th></tr><tr><th></th><th>String?</th><th>String</th><th>Float64</th><th>Float64</th><th>Int64</th></tr></thead><tbody><p>266 rows × 194 columns (omitted printing of 189 columns)</p><tr><th>1</th><td><em>missing</em></td><td>Afghanistan</td><td>33.9391</td><td>67.71</td><td>0</td></tr><tr><th>2</th><td><em>missing</em></td><td>Albania</td><td>41.1533</td><td>20.1683</td><td>0</td></tr><tr><th>3</th><td><em>missing</em></td><td>Algeria</td><td>28.0339</td><td>1.6596</td><td>0</td></tr><tr><th>4</th><td><em>missing</em></td><td>Andorra</td><td>42.5063</td><td>1.5218</td><td>0</td></tr><tr><th>5</th><td><em>missing</em></td><td>Angola</td><td>-11.2027</td><td>17.8739</td><td>0</td></tr><tr><th>6</th><td><em>missing</em></td><td>Antigua and Barbuda</td><td>17.0608</td><td>-61.7964</td><td>0</td></tr><tr><th>7</th><td><em>missing</em></td><td>Argentina</td><td>-38.4161</td><td>-63.6167</td><td>0</td></tr><tr><th>8</th><td><em>missing</em></td><td>Armenia</td><td>40.0691</td><td>45.0382</td><td>0</td></tr><tr><th>9</th><td>Australian Capital Territory</td><td>Australia</td><td>-35.4735</td><td>149.012</td><td>0</td></tr><tr><th>10</th><td>New South Wales</td><td>Australia</td><td>-33.8688</td><td>151.209</td><td>0</td></tr><tr><th>11</th><td>Northern Territory</td><td>Australia</td><td>-12.4634</td><td>130.846</td><td>0</td></tr><tr><th>12</th><td>Queensland</td><td>Australia</td><td>-27.4698</td><td>153.025</td><td>0</td></tr><tr><th>13</th><td>South Australia</td><td>Australia</td><td>-34.9285</td><td>138.601</td><td>0</td></tr><tr><th>14</th><td>Tasmania</td><td>Australia</td><td>-42.8821</td><td>147.327</td><td>0</td></tr><tr><th>15</th><td>Victoria</td><td>Australia</td><td>-37.8136</td><td>144.963</td><td>0</td></tr><tr><th>16</th><td>Western Australia</td><td>Australia</td><td>-31.9505</td><td>115.861</td><td>0</td></tr><tr><th>17</th><td><em>missing</em></td><td>Austria</td><td>47.5162</td><td>14.5501</td><td>0</td></tr><tr><th>18</th><td><em>missing</em></td><td>Azerbaijan</td><td>40.1431</td><td>47.5769</td><td>0</td></tr><tr><th>19</th><td><em>missing</em></td><td>Bahamas</td><td>25.0259</td><td>-78.0359</td><td>0</td></tr><tr><th>20</th><td><em>missing</em></td><td>Bahrain</td><td>26.0275</td><td>50.55</td><td>0</td></tr><tr><th>21</th><td><em>missing</em></td><td>Bangladesh</td><td>23.685</td><td>90.3563</td><td>0</td></tr><tr><th>22</th><td><em>missing</em></td><td>Barbados</td><td>13.1939</td><td>-59.5432</td><td>0</td></tr><tr><th>23</th><td><em>missing</em></td><td>Belarus</td><td>53.7098</td><td>27.9534</td><td>0</td></tr><tr><th>24</th><td><em>missing</em></td><td>Belgium</td><td>50.8333</td><td>4.46994</td><td>0</td></tr><tr><th>25</th><td><em>missing</em></td><td>Benin</td><td>9.3077</td><td>2.3158</td><td>0</td></tr><tr><th>26</th><td><em>missing</em></td><td>Bhutan</td><td>27.5142</td><td>90.4336</td><td>0</td></tr><tr><th>27</th><td><em>missing</em></td><td>Bolivia</td><td>-16.2902</td><td>-63.5887</td><td>0</td></tr><tr><th>28</th><td><em>missing</em></td><td>Bosnia and Herzegovina</td><td>43.9159</td><td>17.6791</td><td>0</td></tr><tr><th>29</th><td><em>missing</em></td><td>Brazil</td><td>-14.235</td><td>-51.9253</td><td>0</td></tr><tr><th>30</th><td><em>missing</em></td><td>Brunei</td><td>4.5353</td><td>114.728</td><td>0</td></tr><tr><th>&vellip;</th><td>&vellip;</td><td>&vellip;</td><td>&vellip;</td><td>&vellip;</td><td>&vellip;</td></tr></tbody></table>"
      ],
      "text/latex": [
       "\\begin{tabular}{r|cccccc}\n",
       "\t& Province/State & Country/Region & Lat & Long & 1/22/20 & \\\\\n",
       "\t\\hline\n",
       "\t& String? & String & Float64 & Float64 & Int64 & \\\\\n",
       "\t\\hline\n",
       "\t1 & \\emph{missing} & Afghanistan & 33.9391 & 67.71 & 0 & $\\dots$ \\\\\n",
       "\t2 & \\emph{missing} & Albania & 41.1533 & 20.1683 & 0 & $\\dots$ \\\\\n",
       "\t3 & \\emph{missing} & Algeria & 28.0339 & 1.6596 & 0 & $\\dots$ \\\\\n",
       "\t4 & \\emph{missing} & Andorra & 42.5063 & 1.5218 & 0 & $\\dots$ \\\\\n",
       "\t5 & \\emph{missing} & Angola & -11.2027 & 17.8739 & 0 & $\\dots$ \\\\\n",
       "\t6 & \\emph{missing} & Antigua and Barbuda & 17.0608 & -61.7964 & 0 & $\\dots$ \\\\\n",
       "\t7 & \\emph{missing} & Argentina & -38.4161 & -63.6167 & 0 & $\\dots$ \\\\\n",
       "\t8 & \\emph{missing} & Armenia & 40.0691 & 45.0382 & 0 & $\\dots$ \\\\\n",
       "\t9 & Australian Capital Territory & Australia & -35.4735 & 149.012 & 0 & $\\dots$ \\\\\n",
       "\t10 & New South Wales & Australia & -33.8688 & 151.209 & 0 & $\\dots$ \\\\\n",
       "\t11 & Northern Territory & Australia & -12.4634 & 130.846 & 0 & $\\dots$ \\\\\n",
       "\t12 & Queensland & Australia & -27.4698 & 153.025 & 0 & $\\dots$ \\\\\n",
       "\t13 & South Australia & Australia & -34.9285 & 138.601 & 0 & $\\dots$ \\\\\n",
       "\t14 & Tasmania & Australia & -42.8821 & 147.327 & 0 & $\\dots$ \\\\\n",
       "\t15 & Victoria & Australia & -37.8136 & 144.963 & 0 & $\\dots$ \\\\\n",
       "\t16 & Western Australia & Australia & -31.9505 & 115.861 & 0 & $\\dots$ \\\\\n",
       "\t17 & \\emph{missing} & Austria & 47.5162 & 14.5501 & 0 & $\\dots$ \\\\\n",
       "\t18 & \\emph{missing} & Azerbaijan & 40.1431 & 47.5769 & 0 & $\\dots$ \\\\\n",
       "\t19 & \\emph{missing} & Bahamas & 25.0259 & -78.0359 & 0 & $\\dots$ \\\\\n",
       "\t20 & \\emph{missing} & Bahrain & 26.0275 & 50.55 & 0 & $\\dots$ \\\\\n",
       "\t21 & \\emph{missing} & Bangladesh & 23.685 & 90.3563 & 0 & $\\dots$ \\\\\n",
       "\t22 & \\emph{missing} & Barbados & 13.1939 & -59.5432 & 0 & $\\dots$ \\\\\n",
       "\t23 & \\emph{missing} & Belarus & 53.7098 & 27.9534 & 0 & $\\dots$ \\\\\n",
       "\t24 & \\emph{missing} & Belgium & 50.8333 & 4.46994 & 0 & $\\dots$ \\\\\n",
       "\t25 & \\emph{missing} & Benin & 9.3077 & 2.3158 & 0 & $\\dots$ \\\\\n",
       "\t26 & \\emph{missing} & Bhutan & 27.5142 & 90.4336 & 0 & $\\dots$ \\\\\n",
       "\t27 & \\emph{missing} & Bolivia & -16.2902 & -63.5887 & 0 & $\\dots$ \\\\\n",
       "\t28 & \\emph{missing} & Bosnia and Herzegovina & 43.9159 & 17.6791 & 0 & $\\dots$ \\\\\n",
       "\t29 & \\emph{missing} & Brazil & -14.235 & -51.9253 & 0 & $\\dots$ \\\\\n",
       "\t30 & \\emph{missing} & Brunei & 4.5353 & 114.728 & 0 & $\\dots$ \\\\\n",
       "\t$\\dots$ & $\\dots$ & $\\dots$ & $\\dots$ & $\\dots$ & $\\dots$ &  \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "266×194 DataFrame. Omitted printing of 191 columns\n",
       "│ Row │ Province/State                   │ Country/Region        │ Lat      │\n",
       "│     │ \u001b[90mUnion{Missing, String}\u001b[39m           │ \u001b[90mString\u001b[39m                │ \u001b[90mFloat64\u001b[39m  │\n",
       "├─────┼──────────────────────────────────┼───────────────────────┼──────────┤\n",
       "│ 1   │ \u001b[90mmissing\u001b[39m                          │ Afghanistan           │ 33.9391  │\n",
       "│ 2   │ \u001b[90mmissing\u001b[39m                          │ Albania               │ 41.1533  │\n",
       "│ 3   │ \u001b[90mmissing\u001b[39m                          │ Algeria               │ 28.0339  │\n",
       "│ 4   │ \u001b[90mmissing\u001b[39m                          │ Andorra               │ 42.5063  │\n",
       "│ 5   │ \u001b[90mmissing\u001b[39m                          │ Angola                │ -11.2027 │\n",
       "│ 6   │ \u001b[90mmissing\u001b[39m                          │ Antigua and Barbuda   │ 17.0608  │\n",
       "│ 7   │ \u001b[90mmissing\u001b[39m                          │ Argentina             │ -38.4161 │\n",
       "│ 8   │ \u001b[90mmissing\u001b[39m                          │ Armenia               │ 40.0691  │\n",
       "│ 9   │ Australian Capital Territory     │ Australia             │ -35.4735 │\n",
       "│ 10  │ New South Wales                  │ Australia             │ -33.8688 │\n",
       "⋮\n",
       "│ 256 │ Bonaire, Sint Eustatius and Saba │ Netherlands           │ 12.1784  │\n",
       "│ 257 │ \u001b[90mmissing\u001b[39m                          │ Malawi                │ -13.2543 │\n",
       "│ 258 │ Falkland Islands (Malvinas)      │ United Kingdom        │ -51.7963 │\n",
       "│ 259 │ Saint Pierre and Miquelon        │ France                │ 46.8852  │\n",
       "│ 260 │ \u001b[90mmissing\u001b[39m                          │ South Sudan           │ 6.877    │\n",
       "│ 261 │ \u001b[90mmissing\u001b[39m                          │ Western Sahara        │ 24.2155  │\n",
       "│ 262 │ \u001b[90mmissing\u001b[39m                          │ Sao Tome and Principe │ 0.1864   │\n",
       "│ 263 │ \u001b[90mmissing\u001b[39m                          │ Yemen                 │ 15.5527  │\n",
       "│ 264 │ \u001b[90mmissing\u001b[39m                          │ Comoros               │ -11.6455 │\n",
       "│ 265 │ \u001b[90mmissing\u001b[39m                          │ Tajikistan            │ 38.861   │\n",
       "│ 266 │ \u001b[90mmissing\u001b[39m                          │ Lesotho               │ -29.61   │"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "CSV.read(\"covid_19_confirmed_global.csv\") #run the function 'read' from the package CSV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = CSV.read(\"covid_19_confirmed_global.csv\"); # semi-colon supresses the display of the output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DataFrame"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "typeof(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"data-frame\"><thead><tr><th></th><th>Province/State</th><th>Country/Region</th><th>Lat</th><th>Long</th><th>1/22/20</th></tr><tr><th></th><th>String?</th><th>String</th><th>Float64</th><th>Float64</th><th>Int64</th></tr></thead><tbody><p>266 rows × 194 columns (omitted printing of 189 columns)</p><tr><th>1</th><td><em>missing</em></td><td>Afghanistan</td><td>33.9391</td><td>67.71</td><td>0</td></tr><tr><th>2</th><td><em>missing</em></td><td>Albania</td><td>41.1533</td><td>20.1683</td><td>0</td></tr><tr><th>3</th><td><em>missing</em></td><td>Algeria</td><td>28.0339</td><td>1.6596</td><td>0</td></tr><tr><th>4</th><td><em>missing</em></td><td>Andorra</td><td>42.5063</td><td>1.5218</td><td>0</td></tr><tr><th>5</th><td><em>missing</em></td><td>Angola</td><td>-11.2027</td><td>17.8739</td><td>0</td></tr><tr><th>6</th><td><em>missing</em></td><td>Antigua and Barbuda</td><td>17.0608</td><td>-61.7964</td><td>0</td></tr><tr><th>7</th><td><em>missing</em></td><td>Argentina</td><td>-38.4161</td><td>-63.6167</td><td>0</td></tr><tr><th>8</th><td><em>missing</em></td><td>Armenia</td><td>40.0691</td><td>45.0382</td><td>0</td></tr><tr><th>9</th><td>Australian Capital Territory</td><td>Australia</td><td>-35.4735</td><td>149.012</td><td>0</td></tr><tr><th>10</th><td>New South Wales</td><td>Australia</td><td>-33.8688</td><td>151.209</td><td>0</td></tr><tr><th>11</th><td>Northern Territory</td><td>Australia</td><td>-12.4634</td><td>130.846</td><td>0</td></tr><tr><th>12</th><td>Queensland</td><td>Australia</td><td>-27.4698</td><td>153.025</td><td>0</td></tr><tr><th>13</th><td>South Australia</td><td>Australia</td><td>-34.9285</td><td>138.601</td><td>0</td></tr><tr><th>14</th><td>Tasmania</td><td>Australia</td><td>-42.8821</td><td>147.327</td><td>0</td></tr><tr><th>15</th><td>Victoria</td><td>Australia</td><td>-37.8136</td><td>144.963</td><td>0</td></tr><tr><th>16</th><td>Western Australia</td><td>Australia</td><td>-31.9505</td><td>115.861</td><td>0</td></tr><tr><th>17</th><td><em>missing</em></td><td>Austria</td><td>47.5162</td><td>14.5501</td><td>0</td></tr><tr><th>18</th><td><em>missing</em></td><td>Azerbaijan</td><td>40.1431</td><td>47.5769</td><td>0</td></tr><tr><th>19</th><td><em>missing</em></td><td>Bahamas</td><td>25.0259</td><td>-78.0359</td><td>0</td></tr><tr><th>20</th><td><em>missing</em></td><td>Bahrain</td><td>26.0275</td><td>50.55</td><td>0</td></tr><tr><th>21</th><td><em>missing</em></td><td>Bangladesh</td><td>23.685</td><td>90.3563</td><td>0</td></tr><tr><th>22</th><td><em>missing</em></td><td>Barbados</td><td>13.1939</td><td>-59.5432</td><td>0</td></tr><tr><th>23</th><td><em>missing</em></td><td>Belarus</td><td>53.7098</td><td>27.9534</td><td>0</td></tr><tr><th>24</th><td><em>missing</em></td><td>Belgium</td><td>50.8333</td><td>4.46994</td><td>0</td></tr><tr><th>25</th><td><em>missing</em></td><td>Benin</td><td>9.3077</td><td>2.3158</td><td>0</td></tr><tr><th>26</th><td><em>missing</em></td><td>Bhutan</td><td>27.5142</td><td>90.4336</td><td>0</td></tr><tr><th>27</th><td><em>missing</em></td><td>Bolivia</td><td>-16.2902</td><td>-63.5887</td><td>0</td></tr><tr><th>28</th><td><em>missing</em></td><td>Bosnia and Herzegovina</td><td>43.9159</td><td>17.6791</td><td>0</td></tr><tr><th>29</th><td><em>missing</em></td><td>Brazil</td><td>-14.235</td><td>-51.9253</td><td>0</td></tr><tr><th>30</th><td><em>missing</em></td><td>Brunei</td><td>4.5353</td><td>114.728</td><td>0</td></tr><tr><th>&vellip;</th><td>&vellip;</td><td>&vellip;</td><td>&vellip;</td><td>&vellip;</td><td>&vellip;</td></tr></tbody></table>"
      ],
      "text/latex": [
       "\\begin{tabular}{r|cccccc}\n",
       "\t& Province/State & Country/Region & Lat & Long & 1/22/20 & \\\\\n",
       "\t\\hline\n",
       "\t& String? & String & Float64 & Float64 & Int64 & \\\\\n",
       "\t\\hline\n",
       "\t1 & \\emph{missing} & Afghanistan & 33.9391 & 67.71 & 0 & $\\dots$ \\\\\n",
       "\t2 & \\emph{missing} & Albania & 41.1533 & 20.1683 & 0 & $\\dots$ \\\\\n",
       "\t3 & \\emph{missing} & Algeria & 28.0339 & 1.6596 & 0 & $\\dots$ \\\\\n",
       "\t4 & \\emph{missing} & Andorra & 42.5063 & 1.5218 & 0 & $\\dots$ \\\\\n",
       "\t5 & \\emph{missing} & Angola & -11.2027 & 17.8739 & 0 & $\\dots$ \\\\\n",
       "\t6 & \\emph{missing} & Antigua and Barbuda & 17.0608 & -61.7964 & 0 & $\\dots$ \\\\\n",
       "\t7 & \\emph{missing} & Argentina & -38.4161 & -63.6167 & 0 & $\\dots$ \\\\\n",
       "\t8 & \\emph{missing} & Armenia & 40.0691 & 45.0382 & 0 & $\\dots$ \\\\\n",
       "\t9 & Australian Capital Territory & Australia & -35.4735 & 149.012 & 0 & $\\dots$ \\\\\n",
       "\t10 & New South Wales & Australia & -33.8688 & 151.209 & 0 & $\\dots$ \\\\\n",
       "\t11 & Northern Territory & Australia & -12.4634 & 130.846 & 0 & $\\dots$ \\\\\n",
       "\t12 & Queensland & Australia & -27.4698 & 153.025 & 0 & $\\dots$ \\\\\n",
       "\t13 & South Australia & Australia & -34.9285 & 138.601 & 0 & $\\dots$ \\\\\n",
       "\t14 & Tasmania & Australia & -42.8821 & 147.327 & 0 & $\\dots$ \\\\\n",
       "\t15 & Victoria & Australia & -37.8136 & 144.963 & 0 & $\\dots$ \\\\\n",
       "\t16 & Western Australia & Australia & -31.9505 & 115.861 & 0 & $\\dots$ \\\\\n",
       "\t17 & \\emph{missing} & Austria & 47.5162 & 14.5501 & 0 & $\\dots$ \\\\\n",
       "\t18 & \\emph{missing} & Azerbaijan & 40.1431 & 47.5769 & 0 & $\\dots$ \\\\\n",
       "\t19 & \\emph{missing} & Bahamas & 25.0259 & -78.0359 & 0 & $\\dots$ \\\\\n",
       "\t20 & \\emph{missing} & Bahrain & 26.0275 & 50.55 & 0 & $\\dots$ \\\\\n",
       "\t21 & \\emph{missing} & Bangladesh & 23.685 & 90.3563 & 0 & $\\dots$ \\\\\n",
       "\t22 & \\emph{missing} & Barbados & 13.1939 & -59.5432 & 0 & $\\dots$ \\\\\n",
       "\t23 & \\emph{missing} & Belarus & 53.7098 & 27.9534 & 0 & $\\dots$ \\\\\n",
       "\t24 & \\emph{missing} & Belgium & 50.8333 & 4.46994 & 0 & $\\dots$ \\\\\n",
       "\t25 & \\emph{missing} & Benin & 9.3077 & 2.3158 & 0 & $\\dots$ \\\\\n",
       "\t26 & \\emph{missing} & Bhutan & 27.5142 & 90.4336 & 0 & $\\dots$ \\\\\n",
       "\t27 & \\emph{missing} & Bolivia & -16.2902 & -63.5887 & 0 & $\\dots$ \\\\\n",
       "\t28 & \\emph{missing} & Bosnia and Herzegovina & 43.9159 & 17.6791 & 0 & $\\dots$ \\\\\n",
       "\t29 & \\emph{missing} & Brazil & -14.235 & -51.9253 & 0 & $\\dots$ \\\\\n",
       "\t30 & \\emph{missing} & Brunei & 4.5353 & 114.728 & 0 & $\\dots$ \\\\\n",
       "\t$\\dots$ & $\\dots$ & $\\dots$ & $\\dots$ & $\\dots$ & $\\dots$ &  \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "266×194 DataFrame. Omitted printing of 191 columns\n",
       "│ Row │ Province/State                   │ Country/Region        │ Lat      │\n",
       "│     │ \u001b[90mUnion{Missing, String}\u001b[39m           │ \u001b[90mString\u001b[39m                │ \u001b[90mFloat64\u001b[39m  │\n",
       "├─────┼──────────────────────────────────┼───────────────────────┼──────────┤\n",
       "│ 1   │ \u001b[90mmissing\u001b[39m                          │ Afghanistan           │ 33.9391  │\n",
       "│ 2   │ \u001b[90mmissing\u001b[39m                          │ Albania               │ 41.1533  │\n",
       "│ 3   │ \u001b[90mmissing\u001b[39m                          │ Algeria               │ 28.0339  │\n",
       "│ 4   │ \u001b[90mmissing\u001b[39m                          │ Andorra               │ 42.5063  │\n",
       "│ 5   │ \u001b[90mmissing\u001b[39m                          │ Angola                │ -11.2027 │\n",
       "│ 6   │ \u001b[90mmissing\u001b[39m                          │ Antigua and Barbuda   │ 17.0608  │\n",
       "│ 7   │ \u001b[90mmissing\u001b[39m                          │ Argentina             │ -38.4161 │\n",
       "│ 8   │ \u001b[90mmissing\u001b[39m                          │ Armenia               │ 40.0691  │\n",
       "│ 9   │ Australian Capital Territory     │ Australia             │ -35.4735 │\n",
       "│ 10  │ New South Wales                  │ Australia             │ -33.8688 │\n",
       "⋮\n",
       "│ 256 │ Bonaire, Sint Eustatius and Saba │ Netherlands           │ 12.1784  │\n",
       "│ 257 │ \u001b[90mmissing\u001b[39m                          │ Malawi                │ -13.2543 │\n",
       "│ 258 │ Falkland Islands (Malvinas)      │ United Kingdom        │ -51.7963 │\n",
       "│ 259 │ Saint Pierre and Miquelon        │ France                │ 46.8852  │\n",
       "│ 260 │ \u001b[90mmissing\u001b[39m                          │ South Sudan           │ 6.877    │\n",
       "│ 261 │ \u001b[90mmissing\u001b[39m                          │ Western Sahara        │ 24.2155  │\n",
       "│ 262 │ \u001b[90mmissing\u001b[39m                          │ Sao Tome and Principe │ 0.1864   │\n",
       "│ 263 │ \u001b[90mmissing\u001b[39m                          │ Yemen                 │ 15.5527  │\n",
       "│ 264 │ \u001b[90mmissing\u001b[39m                          │ Comoros               │ -11.6455 │\n",
       "│ 265 │ \u001b[90mmissing\u001b[39m                          │ Tajikistan            │ 38.861   │\n",
       "│ 266 │ \u001b[90mmissing\u001b[39m                          │ Lesotho               │ -29.61   │"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"data-frame\"><thead><tr><th></th><th>province</th><th>country</th><th>Lat</th><th>Long</th><th>1/22/20</th></tr><tr><th></th><th>String?</th><th>String</th><th>Float64</th><th>Float64</th><th>Int64</th></tr></thead><tbody><p>266 rows × 194 columns (omitted printing of 189 columns)</p><tr><th>1</th><td><em>missing</em></td><td>Afghanistan</td><td>33.9391</td><td>67.71</td><td>0</td></tr><tr><th>2</th><td><em>missing</em></td><td>Albania</td><td>41.1533</td><td>20.1683</td><td>0</td></tr><tr><th>3</th><td><em>missing</em></td><td>Algeria</td><td>28.0339</td><td>1.6596</td><td>0</td></tr><tr><th>4</th><td><em>missing</em></td><td>Andorra</td><td>42.5063</td><td>1.5218</td><td>0</td></tr><tr><th>5</th><td><em>missing</em></td><td>Angola</td><td>-11.2027</td><td>17.8739</td><td>0</td></tr><tr><th>6</th><td><em>missing</em></td><td>Antigua and Barbuda</td><td>17.0608</td><td>-61.7964</td><td>0</td></tr><tr><th>7</th><td><em>missing</em></td><td>Argentina</td><td>-38.4161</td><td>-63.6167</td><td>0</td></tr><tr><th>8</th><td><em>missing</em></td><td>Armenia</td><td>40.0691</td><td>45.0382</td><td>0</td></tr><tr><th>9</th><td>Australian Capital Territory</td><td>Australia</td><td>-35.4735</td><td>149.012</td><td>0</td></tr><tr><th>10</th><td>New South Wales</td><td>Australia</td><td>-33.8688</td><td>151.209</td><td>0</td></tr><tr><th>11</th><td>Northern Territory</td><td>Australia</td><td>-12.4634</td><td>130.846</td><td>0</td></tr><tr><th>12</th><td>Queensland</td><td>Australia</td><td>-27.4698</td><td>153.025</td><td>0</td></tr><tr><th>13</th><td>South Australia</td><td>Australia</td><td>-34.9285</td><td>138.601</td><td>0</td></tr><tr><th>14</th><td>Tasmania</td><td>Australia</td><td>-42.8821</td><td>147.327</td><td>0</td></tr><tr><th>15</th><td>Victoria</td><td>Australia</td><td>-37.8136</td><td>144.963</td><td>0</td></tr><tr><th>16</th><td>Western Australia</td><td>Australia</td><td>-31.9505</td><td>115.861</td><td>0</td></tr><tr><th>17</th><td><em>missing</em></td><td>Austria</td><td>47.5162</td><td>14.5501</td><td>0</td></tr><tr><th>18</th><td><em>missing</em></td><td>Azerbaijan</td><td>40.1431</td><td>47.5769</td><td>0</td></tr><tr><th>19</th><td><em>missing</em></td><td>Bahamas</td><td>25.0259</td><td>-78.0359</td><td>0</td></tr><tr><th>20</th><td><em>missing</em></td><td>Bahrain</td><td>26.0275</td><td>50.55</td><td>0</td></tr><tr><th>21</th><td><em>missing</em></td><td>Bangladesh</td><td>23.685</td><td>90.3563</td><td>0</td></tr><tr><th>22</th><td><em>missing</em></td><td>Barbados</td><td>13.1939</td><td>-59.5432</td><td>0</td></tr><tr><th>23</th><td><em>missing</em></td><td>Belarus</td><td>53.7098</td><td>27.9534</td><td>0</td></tr><tr><th>24</th><td><em>missing</em></td><td>Belgium</td><td>50.8333</td><td>4.46994</td><td>0</td></tr><tr><th>25</th><td><em>missing</em></td><td>Benin</td><td>9.3077</td><td>2.3158</td><td>0</td></tr><tr><th>26</th><td><em>missing</em></td><td>Bhutan</td><td>27.5142</td><td>90.4336</td><td>0</td></tr><tr><th>27</th><td><em>missing</em></td><td>Bolivia</td><td>-16.2902</td><td>-63.5887</td><td>0</td></tr><tr><th>28</th><td><em>missing</em></td><td>Bosnia and Herzegovina</td><td>43.9159</td><td>17.6791</td><td>0</td></tr><tr><th>29</th><td><em>missing</em></td><td>Brazil</td><td>-14.235</td><td>-51.9253</td><td>0</td></tr><tr><th>30</th><td><em>missing</em></td><td>Brunei</td><td>4.5353</td><td>114.728</td><td>0</td></tr><tr><th>&vellip;</th><td>&vellip;</td><td>&vellip;</td><td>&vellip;</td><td>&vellip;</td><td>&vellip;</td></tr></tbody></table>"
      ],
      "text/latex": [
       "\\begin{tabular}{r|cccccc}\n",
       "\t& province & country & Lat & Long & 1/22/20 & \\\\\n",
       "\t\\hline\n",
       "\t& String? & String & Float64 & Float64 & Int64 & \\\\\n",
       "\t\\hline\n",
       "\t1 & \\emph{missing} & Afghanistan & 33.9391 & 67.71 & 0 & $\\dots$ \\\\\n",
       "\t2 & \\emph{missing} & Albania & 41.1533 & 20.1683 & 0 & $\\dots$ \\\\\n",
       "\t3 & \\emph{missing} & Algeria & 28.0339 & 1.6596 & 0 & $\\dots$ \\\\\n",
       "\t4 & \\emph{missing} & Andorra & 42.5063 & 1.5218 & 0 & $\\dots$ \\\\\n",
       "\t5 & \\emph{missing} & Angola & -11.2027 & 17.8739 & 0 & $\\dots$ \\\\\n",
       "\t6 & \\emph{missing} & Antigua and Barbuda & 17.0608 & -61.7964 & 0 & $\\dots$ \\\\\n",
       "\t7 & \\emph{missing} & Argentina & -38.4161 & -63.6167 & 0 & $\\dots$ \\\\\n",
       "\t8 & \\emph{missing} & Armenia & 40.0691 & 45.0382 & 0 & $\\dots$ \\\\\n",
       "\t9 & Australian Capital Territory & Australia & -35.4735 & 149.012 & 0 & $\\dots$ \\\\\n",
       "\t10 & New South Wales & Australia & -33.8688 & 151.209 & 0 & $\\dots$ \\\\\n",
       "\t11 & Northern Territory & Australia & -12.4634 & 130.846 & 0 & $\\dots$ \\\\\n",
       "\t12 & Queensland & Australia & -27.4698 & 153.025 & 0 & $\\dots$ \\\\\n",
       "\t13 & South Australia & Australia & -34.9285 & 138.601 & 0 & $\\dots$ \\\\\n",
       "\t14 & Tasmania & Australia & -42.8821 & 147.327 & 0 & $\\dots$ \\\\\n",
       "\t15 & Victoria & Australia & -37.8136 & 144.963 & 0 & $\\dots$ \\\\\n",
       "\t16 & Western Australia & Australia & -31.9505 & 115.861 & 0 & $\\dots$ \\\\\n",
       "\t17 & \\emph{missing} & Austria & 47.5162 & 14.5501 & 0 & $\\dots$ \\\\\n",
       "\t18 & \\emph{missing} & Azerbaijan & 40.1431 & 47.5769 & 0 & $\\dots$ \\\\\n",
       "\t19 & \\emph{missing} & Bahamas & 25.0259 & -78.0359 & 0 & $\\dots$ \\\\\n",
       "\t20 & \\emph{missing} & Bahrain & 26.0275 & 50.55 & 0 & $\\dots$ \\\\\n",
       "\t21 & \\emph{missing} & Bangladesh & 23.685 & 90.3563 & 0 & $\\dots$ \\\\\n",
       "\t22 & \\emph{missing} & Barbados & 13.1939 & -59.5432 & 0 & $\\dots$ \\\\\n",
       "\t23 & \\emph{missing} & Belarus & 53.7098 & 27.9534 & 0 & $\\dots$ \\\\\n",
       "\t24 & \\emph{missing} & Belgium & 50.8333 & 4.46994 & 0 & $\\dots$ \\\\\n",
       "\t25 & \\emph{missing} & Benin & 9.3077 & 2.3158 & 0 & $\\dots$ \\\\\n",
       "\t26 & \\emph{missing} & Bhutan & 27.5142 & 90.4336 & 0 & $\\dots$ \\\\\n",
       "\t27 & \\emph{missing} & Bolivia & -16.2902 & -63.5887 & 0 & $\\dots$ \\\\\n",
       "\t28 & \\emph{missing} & Bosnia and Herzegovina & 43.9159 & 17.6791 & 0 & $\\dots$ \\\\\n",
       "\t29 & \\emph{missing} & Brazil & -14.235 & -51.9253 & 0 & $\\dots$ \\\\\n",
       "\t30 & \\emph{missing} & Brunei & 4.5353 & 114.728 & 0 & $\\dots$ \\\\\n",
       "\t$\\dots$ & $\\dots$ & $\\dots$ & $\\dots$ & $\\dots$ & $\\dots$ &  \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "266×194 DataFrame. Omitted printing of 191 columns\n",
       "│ Row │ province                         │ country               │ Lat      │\n",
       "│     │ \u001b[90mUnion{Missing, String}\u001b[39m           │ \u001b[90mString\u001b[39m                │ \u001b[90mFloat64\u001b[39m  │\n",
       "├─────┼──────────────────────────────────┼───────────────────────┼──────────┤\n",
       "│ 1   │ \u001b[90mmissing\u001b[39m                          │ Afghanistan           │ 33.9391  │\n",
       "│ 2   │ \u001b[90mmissing\u001b[39m                          │ Albania               │ 41.1533  │\n",
       "│ 3   │ \u001b[90mmissing\u001b[39m                          │ Algeria               │ 28.0339  │\n",
       "│ 4   │ \u001b[90mmissing\u001b[39m                          │ Andorra               │ 42.5063  │\n",
       "│ 5   │ \u001b[90mmissing\u001b[39m                          │ Angola                │ -11.2027 │\n",
       "│ 6   │ \u001b[90mmissing\u001b[39m                          │ Antigua and Barbuda   │ 17.0608  │\n",
       "│ 7   │ \u001b[90mmissing\u001b[39m                          │ Argentina             │ -38.4161 │\n",
       "│ 8   │ \u001b[90mmissing\u001b[39m                          │ Armenia               │ 40.0691  │\n",
       "│ 9   │ Australian Capital Territory     │ Australia             │ -35.4735 │\n",
       "│ 10  │ New South Wales                  │ Australia             │ -33.8688 │\n",
       "⋮\n",
       "│ 256 │ Bonaire, Sint Eustatius and Saba │ Netherlands           │ 12.1784  │\n",
       "│ 257 │ \u001b[90mmissing\u001b[39m                          │ Malawi                │ -13.2543 │\n",
       "│ 258 │ Falkland Islands (Malvinas)      │ United Kingdom        │ -51.7963 │\n",
       "│ 259 │ Saint Pierre and Miquelon        │ France                │ 46.8852  │\n",
       "│ 260 │ \u001b[90mmissing\u001b[39m                          │ South Sudan           │ 6.877    │\n",
       "│ 261 │ \u001b[90mmissing\u001b[39m                          │ Western Sahara        │ 24.2155  │\n",
       "│ 262 │ \u001b[90mmissing\u001b[39m                          │ Sao Tome and Principe │ 0.1864   │\n",
       "│ 263 │ \u001b[90mmissing\u001b[39m                          │ Yemen                 │ 15.5527  │\n",
       "│ 264 │ \u001b[90mmissing\u001b[39m                          │ Comoros               │ -11.6455 │\n",
       "│ 265 │ \u001b[90mmissing\u001b[39m                          │ Tajikistan            │ 38.861   │\n",
       "│ 266 │ \u001b[90mmissing\u001b[39m                          │ Lesotho               │ -29.61   │"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datacopy = rename!(data, 1 => \"province\", 2 => \"country\") \n",
    "# !, bang, is a convention: function that \"modifies\" its argument in place"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"data-frame\"><thead><tr><th></th><th>province</th><th>country</th><th>Lat</th><th>Long</th><th>1/22/20</th></tr><tr><th></th><th>String?</th><th>String</th><th>Float64</th><th>Float64</th><th>Int64</th></tr></thead><tbody><p>266 rows × 194 columns (omitted printing of 189 columns)</p><tr><th>1</th><td><em>missing</em></td><td>Afghanistan</td><td>33.9391</td><td>67.71</td><td>0</td></tr><tr><th>2</th><td><em>missing</em></td><td>Albania</td><td>41.1533</td><td>20.1683</td><td>0</td></tr><tr><th>3</th><td><em>missing</em></td><td>Algeria</td><td>28.0339</td><td>1.6596</td><td>0</td></tr><tr><th>4</th><td><em>missing</em></td><td>Andorra</td><td>42.5063</td><td>1.5218</td><td>0</td></tr><tr><th>5</th><td><em>missing</em></td><td>Angola</td><td>-11.2027</td><td>17.8739</td><td>0</td></tr><tr><th>6</th><td><em>missing</em></td><td>Antigua and Barbuda</td><td>17.0608</td><td>-61.7964</td><td>0</td></tr><tr><th>7</th><td><em>missing</em></td><td>Argentina</td><td>-38.4161</td><td>-63.6167</td><td>0</td></tr><tr><th>8</th><td><em>missing</em></td><td>Armenia</td><td>40.0691</td><td>45.0382</td><td>0</td></tr><tr><th>9</th><td>Australian Capital Territory</td><td>Australia</td><td>-35.4735</td><td>149.012</td><td>0</td></tr><tr><th>10</th><td>New South Wales</td><td>Australia</td><td>-33.8688</td><td>151.209</td><td>0</td></tr><tr><th>11</th><td>Northern Territory</td><td>Australia</td><td>-12.4634</td><td>130.846</td><td>0</td></tr><tr><th>12</th><td>Queensland</td><td>Australia</td><td>-27.4698</td><td>153.025</td><td>0</td></tr><tr><th>13</th><td>South Australia</td><td>Australia</td><td>-34.9285</td><td>138.601</td><td>0</td></tr><tr><th>14</th><td>Tasmania</td><td>Australia</td><td>-42.8821</td><td>147.327</td><td>0</td></tr><tr><th>15</th><td>Victoria</td><td>Australia</td><td>-37.8136</td><td>144.963</td><td>0</td></tr><tr><th>16</th><td>Western Australia</td><td>Australia</td><td>-31.9505</td><td>115.861</td><td>0</td></tr><tr><th>17</th><td><em>missing</em></td><td>Austria</td><td>47.5162</td><td>14.5501</td><td>0</td></tr><tr><th>18</th><td><em>missing</em></td><td>Azerbaijan</td><td>40.1431</td><td>47.5769</td><td>0</td></tr><tr><th>19</th><td><em>missing</em></td><td>Bahamas</td><td>25.0259</td><td>-78.0359</td><td>0</td></tr><tr><th>20</th><td><em>missing</em></td><td>Bahrain</td><td>26.0275</td><td>50.55</td><td>0</td></tr><tr><th>21</th><td><em>missing</em></td><td>Bangladesh</td><td>23.685</td><td>90.3563</td><td>0</td></tr><tr><th>22</th><td><em>missing</em></td><td>Barbados</td><td>13.1939</td><td>-59.5432</td><td>0</td></tr><tr><th>23</th><td><em>missing</em></td><td>Belarus</td><td>53.7098</td><td>27.9534</td><td>0</td></tr><tr><th>24</th><td><em>missing</em></td><td>Belgium</td><td>50.8333</td><td>4.46994</td><td>0</td></tr><tr><th>25</th><td><em>missing</em></td><td>Benin</td><td>9.3077</td><td>2.3158</td><td>0</td></tr><tr><th>26</th><td><em>missing</em></td><td>Bhutan</td><td>27.5142</td><td>90.4336</td><td>0</td></tr><tr><th>27</th><td><em>missing</em></td><td>Bolivia</td><td>-16.2902</td><td>-63.5887</td><td>0</td></tr><tr><th>28</th><td><em>missing</em></td><td>Bosnia and Herzegovina</td><td>43.9159</td><td>17.6791</td><td>0</td></tr><tr><th>29</th><td><em>missing</em></td><td>Brazil</td><td>-14.235</td><td>-51.9253</td><td>0</td></tr><tr><th>30</th><td><em>missing</em></td><td>Brunei</td><td>4.5353</td><td>114.728</td><td>0</td></tr><tr><th>&vellip;</th><td>&vellip;</td><td>&vellip;</td><td>&vellip;</td><td>&vellip;</td><td>&vellip;</td></tr></tbody></table>"
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       "\\begin{tabular}{r|cccccc}\n",
       "\t& province & country & Lat & Long & 1/22/20 & \\\\\n",
       "\t\\hline\n",
       "\t& String? & String & Float64 & Float64 & Int64 & \\\\\n",
       "\t\\hline\n",
       "\t1 & \\emph{missing} & Afghanistan & 33.9391 & 67.71 & 0 & $\\dots$ \\\\\n",
       "\t2 & \\emph{missing} & Albania & 41.1533 & 20.1683 & 0 & $\\dots$ \\\\\n",
       "\t3 & \\emph{missing} & Algeria & 28.0339 & 1.6596 & 0 & $\\dots$ \\\\\n",
       "\t4 & \\emph{missing} & Andorra & 42.5063 & 1.5218 & 0 & $\\dots$ \\\\\n",
       "\t5 & \\emph{missing} & Angola & -11.2027 & 17.8739 & 0 & $\\dots$ \\\\\n",
       "\t6 & \\emph{missing} & Antigua and Barbuda & 17.0608 & -61.7964 & 0 & $\\dots$ \\\\\n",
       "\t7 & \\emph{missing} & Argentina & -38.4161 & -63.6167 & 0 & $\\dots$ \\\\\n",
       "\t8 & \\emph{missing} & Armenia & 40.0691 & 45.0382 & 0 & $\\dots$ \\\\\n",
       "\t9 & Australian Capital Territory & Australia & -35.4735 & 149.012 & 0 & $\\dots$ \\\\\n",
       "\t10 & New South Wales & Australia & -33.8688 & 151.209 & 0 & $\\dots$ \\\\\n",
       "\t11 & Northern Territory & Australia & -12.4634 & 130.846 & 0 & $\\dots$ \\\\\n",
       "\t12 & Queensland & Australia & -27.4698 & 153.025 & 0 & $\\dots$ \\\\\n",
       "\t13 & South Australia & Australia & -34.9285 & 138.601 & 0 & $\\dots$ \\\\\n",
       "\t14 & Tasmania & Australia & -42.8821 & 147.327 & 0 & $\\dots$ \\\\\n",
       "\t15 & Victoria & Australia & -37.8136 & 144.963 & 0 & $\\dots$ \\\\\n",
       "\t16 & Western Australia & Australia & -31.9505 & 115.861 & 0 & $\\dots$ \\\\\n",
       "\t17 & \\emph{missing} & Austria & 47.5162 & 14.5501 & 0 & $\\dots$ \\\\\n",
       "\t18 & \\emph{missing} & Azerbaijan & 40.1431 & 47.5769 & 0 & $\\dots$ \\\\\n",
       "\t19 & \\emph{missing} & Bahamas & 25.0259 & -78.0359 & 0 & $\\dots$ \\\\\n",
       "\t20 & \\emph{missing} & Bahrain & 26.0275 & 50.55 & 0 & $\\dots$ \\\\\n",
       "\t21 & \\emph{missing} & Bangladesh & 23.685 & 90.3563 & 0 & $\\dots$ \\\\\n",
       "\t22 & \\emph{missing} & Barbados & 13.1939 & -59.5432 & 0 & $\\dots$ \\\\\n",
       "\t23 & \\emph{missing} & Belarus & 53.7098 & 27.9534 & 0 & $\\dots$ \\\\\n",
       "\t24 & \\emph{missing} & Belgium & 50.8333 & 4.46994 & 0 & $\\dots$ \\\\\n",
       "\t25 & \\emph{missing} & Benin & 9.3077 & 2.3158 & 0 & $\\dots$ \\\\\n",
       "\t26 & \\emph{missing} & Bhutan & 27.5142 & 90.4336 & 0 & $\\dots$ \\\\\n",
       "\t27 & \\emph{missing} & Bolivia & -16.2902 & -63.5887 & 0 & $\\dots$ \\\\\n",
       "\t28 & \\emph{missing} & Bosnia and Herzegovina & 43.9159 & 17.6791 & 0 & $\\dots$ \\\\\n",
       "\t29 & \\emph{missing} & Brazil & -14.235 & -51.9253 & 0 & $\\dots$ \\\\\n",
       "\t30 & \\emph{missing} & Brunei & 4.5353 & 114.728 & 0 & $\\dots$ \\\\\n",
       "\t$\\dots$ & $\\dots$ & $\\dots$ & $\\dots$ & $\\dots$ & $\\dots$ &  \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "266×194 DataFrame. Omitted printing of 191 columns\n",
       "│ Row │ province                         │ country               │ Lat      │\n",
       "│     │ \u001b[90mUnion{Missing, String}\u001b[39m           │ \u001b[90mString\u001b[39m                │ \u001b[90mFloat64\u001b[39m  │\n",
       "├─────┼──────────────────────────────────┼───────────────────────┼──────────┤\n",
       "│ 1   │ \u001b[90mmissing\u001b[39m                          │ Afghanistan           │ 33.9391  │\n",
       "│ 2   │ \u001b[90mmissing\u001b[39m                          │ Albania               │ 41.1533  │\n",
       "│ 3   │ \u001b[90mmissing\u001b[39m                          │ Algeria               │ 28.0339  │\n",
       "│ 4   │ \u001b[90mmissing\u001b[39m                          │ Andorra               │ 42.5063  │\n",
       "│ 5   │ \u001b[90mmissing\u001b[39m                          │ Angola                │ -11.2027 │\n",
       "│ 6   │ \u001b[90mmissing\u001b[39m                          │ Antigua and Barbuda   │ 17.0608  │\n",
       "│ 7   │ \u001b[90mmissing\u001b[39m                          │ Argentina             │ -38.4161 │\n",
       "│ 8   │ \u001b[90mmissing\u001b[39m                          │ Armenia               │ 40.0691  │\n",
       "│ 9   │ Australian Capital Territory     │ Australia             │ -35.4735 │\n",
       "│ 10  │ New South Wales                  │ Australia             │ -33.8688 │\n",
       "⋮\n",
       "│ 256 │ Bonaire, Sint Eustatius and Saba │ Netherlands           │ 12.1784  │\n",
       "│ 257 │ \u001b[90mmissing\u001b[39m                          │ Malawi                │ -13.2543 │\n",
       "│ 258 │ Falkland Islands (Malvinas)      │ United Kingdom        │ -51.7963 │\n",
       "│ 259 │ Saint Pierre and Miquelon        │ France                │ 46.8852  │\n",
       "│ 260 │ \u001b[90mmissing\u001b[39m                          │ South Sudan           │ 6.877    │\n",
       "│ 261 │ \u001b[90mmissing\u001b[39m                          │ Western Sahara        │ 24.2155  │\n",
       "│ 262 │ \u001b[90mmissing\u001b[39m                          │ Sao Tome and Principe │ 0.1864   │\n",
       "│ 263 │ \u001b[90mmissing\u001b[39m                          │ Yemen                 │ 15.5527  │\n",
       "│ 264 │ \u001b[90mmissing\u001b[39m                          │ Comoros               │ -11.6455 │\n",
       "│ 265 │ \u001b[90mmissing\u001b[39m                          │ Tajikistan            │ 38.861   │\n",
       "│ 266 │ \u001b[90mmissing\u001b[39m                          │ Lesotho               │ -29.61   │"
      ]
     },
     "execution_count": 10,
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    }
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   "source": [
    "Whe are using Interact here with @manipulate for testing purposes. Feel free to play around with it"
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(this.valueFromJulia[\\\"index\\\"]=true, this.model[\\\"index\\\"](val)) : undefined})\"]},\"systemjs_options\":null,\"mount_callbacks\":[\"function () {\\n    var handler = (function (ko, koPunches) {\\n    ko.punches.enableAll();\\n    ko.bindingHandlers.numericValue = {\\n        init: function(element, valueAccessor, allBindings, data, context) {\\n            var stringified = ko.observable(ko.unwrap(valueAccessor()));\\n            stringified.subscribe(function(value) {\\n                var val = parseFloat(value);\\n                if (!isNaN(val)) {\\n                    valueAccessor()(val);\\n                }\\n            });\\n            valueAccessor().subscribe(function(value) {\\n                var str = JSON.stringify(value);\\n                if ((str == \\\"0\\\") && ([\\\"-0\\\", \\\"-0.\\\"].indexOf(stringified()) >= 0))\\n                     return;\\n                 if ([\\\"null\\\", \\\"\\\"].indexOf(str) >= 0)\\n                     return;\\n                stringified(str);\\n            });\\n            ko.applyBindingsToNode(\\n                element,\\n                {\\n                    value: stringified,\\n                    valueUpdate: allBindings.get('valueUpdate'),\\n                },\\n                context,\\n            );\\n        }\\n    };\\n    var json_data = {\\\"formatted_vals\\\":[\\\"1\\\",\\\"2\\\",\\\"3\\\",\\\"4\\\",\\\"5\\\",\\\"6\\\",\\\"7\\\",\\\"8\\\",\\\"9\\\",\\\"10\\\"],\\\"changes\\\":WebIO.getval({\\\"name\\\":\\\"changes\\\",\\\"scope\\\":\\\"1360276800049304306\\\",\\\"id\\\":\\\"17874388887943804848\\\",\\\"type\\\":\\\"observable\\\"}),\\\"index\\\":WebIO.getval({\\\"name\\\":\\\"index\\\",\\\"scope\\\":\\\"1360276800049304306\\\",\\\"id\\\":\\\"7405537308172275619\\\",\\\"type\\\":\\\"observable\\\"})};\\n    var self = this;\\n    function AppViewModel() {\\n        for (var key in json_data) {\\n            var el = json_data[key];\\n            this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\\n        }\\n        \\n        [this[\\\"formatted_val\\\"]=ko.computed(    function(){\\n        return this.formatted_vals()[parseInt(this.index())-(1)];\\n    }\\n,this)]\\n        [this[\\\"changes\\\"].subscribe((function (val){!(this.valueFromJulia[\\\"changes\\\"]) ? (WebIO.setval({\\\"name\\\":\\\"changes\\\",\\\"scope\\\":\\\"1360276800049304306\\\",\\\"id\\\":\\\"17874388887943804848\\\",\\\"type\\\":\\\"observable\\\"},val)) : undefined; return this.valueFromJulia[\\\"changes\\\"]=false}),self),this[\\\"index\\\"].subscribe((function (val){!(this.valueFromJulia[\\\"index\\\"]) ? (WebIO.setval({\\\"name\\\":\\\"index\\\",\\\"scope\\\":\\\"1360276800049304306\\\",\\\"id\\\":\\\"7405537308172275619\\\",\\\"type\\\":\\\"observable\\\"},val)) : undefined; return this.valueFromJulia[\\\"index\\\"]=false}),self)]\\n        \\n    }\\n    self.model = new AppViewModel();\\n    self.valueFromJulia = {};\\n    for (var key in json_data) {\\n        self.valueFromJulia[key] = false;\\n    }\\n    ko.applyBindings(self.model, self.dom);\\n}\\n);\\n    (WebIO.importBlock({\\\"data\\\":[{\\\"name\\\":\\\"knockout\\\",\\\"type\\\":\\\"js\\\",\\\"url\\\":\\\"\\/assetserver\\/0f7dc91fc8596176c20edab2c146f643e18cfcdc-knockout.js\\\"},{\\\"name\\\":\\\"knockout_punches\\\",\\\"type\\\":\\\"js\\\",\\\"url\\\":\\\"\\/assetserver\\/8b17f7ded5914701597f16e37bf062d2d0b7e5d4-knockout_punches.js\\\"}],\\\"type\\\":\\\"async_block\\\"})).then((imports) => handler.apply(this, imports));\\n}\\n\"],\"observables\":{\"changes\":{\"sync\":false,\"id\":\"17874388887943804848\",\"value\":0},\"index\":{\"sync\":true,\"id\":\"7405537308172275619\",\"value\":5}}},\"children\":[{\"props\":{\"className\":\"interact-flex-row interact-widget\"},\"nodeType\":\"DOM\",\"type\":\"node\",\"instanceArgs\":{\"namespace\":\"html\",\"tag\":\"div\"},\"children\":[{\"props\":{\"className\":\"interact-flex-row-left\"},\"nodeType\":\"DOM\",\"type\":\"node\",\"instanceArgs\":{\"namespace\":\"html\",\"tag\":\"div\"},\"children\":[{\"props\":{\"className\":\"interact \",\"style\":{\"padding\":\"5px 10px 0px 10px\"}},\"nodeType\":\"DOM\",\"type\":\"node\",\"instanceArgs\":{\"namespace\":\"html\",\"tag\":\"label\"},\"children\":[\"i\"]}]},{\"props\":{\"className\":\"interact-flex-row-center\"},\"nodeType\":\"DOM\",\"type\":\"node\",\"instanceArgs\":{\"namespace\":\"html\",\"tag\":\"div\"},\"children\":[{\"props\":{\"max\":10,\"min\":1,\"attributes\":{\"type\":\"range\",\"data-bind\":\"numericValue: index, valueUpdate: 'input', event: {change: function (){this.changes(this.changes()+1)}}\",\"orient\":\"horizontal\"},\"step\":1,\"className\":\"slider slider is-fullwidth\",\"style\":{}},\"nodeType\":\"DOM\",\"type\":\"node\",\"instanceArgs\":{\"namespace\":\"html\",\"tag\":\"input\"},\"children\":[]}]},{\"props\":{\"className\":\"interact-flex-row-right\"},\"nodeType\":\"DOM\",\"type\":\"node\",\"instanceArgs\":{\"namespace\":\"html\",\"tag\":\"div\"},\"children\":[{\"props\":{\"attributes\":{\"data-bind\":\"text: formatted_val\"}},\"nodeType\":\"DOM\",\"type\":\"node\",\"instanceArgs\":{\"namespace\":\"html\",\"tag\":\"p\"},\"children\":[]}]}]}]}]},{\"props\":{},\"nodeType\":\"Scope\",\"type\":\"node\",\"instanceArgs\":{\"imports\":{\"data\":[],\"type\":\"async_block\"},\"id\":\"12502797452252644106\",\"handlers\":{},\"systemjs_options\":null,\"mount_callbacks\":[],\"observables\":{\"obs-node\":{\"sync\":false,\"id\":\"12320426992410878647\",\"value\":{\"props\":{\"className\":\"interact-flex-row interact-widget\"},\"nodeType\":\"DOM\",\"type\":\"node\",\"instanceArgs\":{\"namespace\":\"html\",\"tag\":\"div\"},\"children\":[{\"props\":{\"setInnerHtml\":\"5\"},\"nodeType\":\"DOM\",\"type\":\"node\",\"instanceArgs\":{\"namespace\":\"html\",\"tag\":\"div\"},\"children\":[]}]}}}},\"children\":[{\"props\":{},\"nodeType\":\"ObservableNode\",\"type\":\"node\",\"instanceArgs\":{\"id\":\"12320426992410878647\",\"name\":\"obs-node\"},\"children\":[]}]}]},\n",
       "            window,\n",
       "        );\n",
       "    } else {\n",
       "        document\n",
       "            .querySelector('[data-webio-mountpoint=\"12529419823499431312\"]')\n",
       "            .innerHTML = (\n",
       "                '<div style=\"padding: 1em; background-color: #f8d6da; border: 1px solid #f5c6cb\">' +\n",
       "                '<p><strong>WebIO not detected.</strong></p>' +\n",
       "                '<p>Please read ' +\n",
       "                '<a href=\"https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/\" target=\"_blank\">the troubleshooting guide</a> ' +\n",
       "                'for more information on how to resolve this issue.</p>' +\n",
       "                '<p><a href=\"https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/\" target=\"_blank\">https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/</a></p>' +\n",
       "                '</div>'\n",
       "            );\n",
       "    }\n",
       "    </script>\n",
       "</div>\n"
      ],
      "text/plain": [
       "Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Scope(Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Node{WebIO.DOM}(WebIO.DOM(:html, :label), Any[\"i\"], Dict{Symbol,Any}(:className => \"interact \",:style => Dict{Any,Any}(:padding => \"5px 10px 0px 10px\")))], Dict{Symbol,Any}(:className => \"interact-flex-row-left\")), Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Node{WebIO.DOM}(WebIO.DOM(:html, :input), Any[], Dict{Symbol,Any}(:max => 10,:min => 1,:attributes => Dict{Any,Any}(:type => \"range\",Symbol(\"data-bind\") => \"numericValue: index, valueUpdate: 'input', event: {change: function (){this.changes(this.changes()+1)}}\",\"orient\" => \"horizontal\"),:step => 1,:className => \"slider slider is-fullwidth\",:style => Dict{Any,Any}()))], Dict{Symbol,Any}(:className => \"interact-flex-row-center\")), Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Node{WebIO.DOM}(WebIO.DOM(:html, :p), Any[], Dict{Symbol,Any}(:attributes => Dict(\"data-bind\" => \"text: formatted_val\")))], Dict{Symbol,Any}(:className => \"interact-flex-row-right\"))], Dict{Symbol,Any}(:className => \"interact-flex-row interact-widget\")), Dict{String,Tuple{Observables.AbstractObservable,Union{Nothing, Bool}}}(\"changes\" => (Observable{Int64} with 1 listeners. Value:\n",
       "0, nothing),\"index\" => (Observable{Int64} with 2 listeners. Value:\n",
       "5, nothing)), Set(String[]), nothing, Asset[Asset(\"js\", \"knockout\", \"/Users/pinas/.julia/packages/Knockout/IP1uR/src/../assets/knockout.js\"), Asset(\"js\", \"knockout_punches\", \"/Users/pinas/.julia/packages/Knockout/IP1uR/src/../assets/knockout_punches.js\"), Asset(\"js\", nothing, \"/Users/pinas/.julia/packages/InteractBase/sOe2Z/src/../assets/all.js\"), Asset(\"css\", nothing, \"/Users/pinas/.julia/packages/InteractBase/sOe2Z/src/../assets/style.css\"), Asset(\"css\", nothing, \"/Users/pinas/.julia/packages/Interact/SbgIk/src/../assets/bulma_confined.min.css\")], Dict{Any,Any}(\"changes\" => Any[WebIO.JSString(\"(function (val){return (val!=this.model[\\\"changes\\\"]()) ? (this.valueFromJulia[\\\"changes\\\"]=true, this.model[\\\"changes\\\"](val)) : undefined})\")],\"index\" => Any[WebIO.JSString(\"(function (val){return (val!=this.model[\\\"index\\\"]()) ? (this.valueFromJulia[\\\"index\\\"]=true, this.model[\\\"index\\\"](val)) : undefined})\")]), WebIO.ConnectionPool(Channel{Any}(sz_max:32,sz_curr:0), Set(AbstractConnection[]), Base.GenericCondition{Base.AlwaysLockedST}(Base.InvasiveLinkedList{Task}(Task (runnable) @0x00000001252e5450, Task (runnable) @0x00000001252e5450), Base.AlwaysLockedST(1))), WebIO.JSString[WebIO.JSString(\"function () {\\n    var handler = (function (ko, koPunches) {\\n    ko.punches.enableAll();\\n    ko.bindingHandlers.numericValue = {\\n        init: function(element, valueAccessor, allBindings, data, context) {\\n            var stringified = ko.observable(ko.unwrap(valueAccessor()));\\n            stringified.subscribe(function(value) {\\n                var val = parseFloat(value);\\n                if (!isNaN(val)) {\\n                    valueAccessor()(val);\\n                }\\n            });\\n            valueAccessor().subscribe(function(value) {\\n                var str = JSON.stringify(value);\\n                if ((str == \\\"0\\\") && ([\\\"-0\\\", \\\"-0.\\\"].indexOf(stringified()) >= 0))\\n                     return;\\n                 if ([\\\"null\\\", \\\"\\\"].indexOf(str) >= 0)\\n                     return;\\n                stringified(str);\\n            });\\n            ko.applyBindingsToNode(\\n                element,\\n                {\\n                    value: stringified,\\n                    valueUpdate: allBindings.get('valueUpdate'),\\n                },\\n                context,\\n            );\\n        }\\n    };\\n    var json_data = {\\\"formatted_vals\\\":[\\\"1\\\",\\\"2\\\",\\\"3\\\",\\\"4\\\",\\\"5\\\",\\\"6\\\",\\\"7\\\",\\\"8\\\",\\\"9\\\",\\\"10\\\"],\\\"changes\\\":WebIO.getval({\\\"name\\\":\\\"changes\\\",\\\"scope\\\":\\\"1360276800049304306\\\",\\\"id\\\":\\\"17874388887943804848\\\",\\\"type\\\":\\\"observable\\\"}),\\\"index\\\":WebIO.getval({\\\"name\\\":\\\"index\\\",\\\"scope\\\":\\\"1360276800049304306\\\",\\\"id\\\":\\\"7405537308172275619\\\",\\\"type\\\":\\\"observable\\\"})};\\n    var self = this;\\n    function AppViewModel() {\\n        for (var key in json_data) {\\n            var el = json_data[key];\\n            this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\\n        }\\n        \\n        [this[\\\"formatted_val\\\"]=ko.computed(    function(){\\n        return this.formatted_vals()[parseInt(this.index())-(1)];\\n    }\\n,this)]\\n        [this[\\\"changes\\\"].subscribe((function (val){!(this.valueFromJulia[\\\"changes\\\"]) ? (WebIO.setval({\\\"name\\\":\\\"changes\\\",\\\"scope\\\":\\\"1360276800049304306\\\",\\\"id\\\":\\\"17874388887943804848\\\",\\\"type\\\":\\\"observable\\\"},val)) : undefined; return this.valueFromJulia[\\\"changes\\\"]=false}),self),this[\\\"index\\\"].subscribe((function (val){!(this.valueFromJulia[\\\"index\\\"]) ? (WebIO.setval({\\\"name\\\":\\\"index\\\",\\\"scope\\\":\\\"1360276800049304306\\\",\\\"id\\\":\\\"7405537308172275619\\\",\\\"type\\\":\\\"observable\\\"},val)) : undefined; return this.valueFromJulia[\\\"index\\\"]=false}),self)]\\n        \\n    }\\n    self.model = new AppViewModel();\\n    self.valueFromJulia = {};\\n    for (var key in json_data) {\\n        self.valueFromJulia[key] = false;\\n    }\\n    ko.applyBindings(self.model, self.dom);\\n}\\n);\\n    (WebIO.importBlock({\\\"data\\\":[{\\\"name\\\":\\\"knockout\\\",\\\"type\\\":\\\"js\\\",\\\"url\\\":\\\"/assetserver/0f7dc91fc8596176c20edab2c146f643e18cfcdc-knockout.js\\\"},{\\\"name\\\":\\\"knockout_punches\\\",\\\"type\\\":\\\"js\\\",\\\"url\\\":\\\"/assetserver/8b17f7ded5914701597f16e37bf062d2d0b7e5d4-knockout_punches.js\\\"}],\\\"type\\\":\\\"async_block\\\"})).then((imports) => handler.apply(this, imports));\\n}\\n\")])], Dict{Symbol,Any}(:className => \"field interact-widget\")), Observable{Any} with 0 listeners. Value:\n",
       "Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[HTML{Int64}(5)], Dict{Symbol,Any}(:className => \"interact-flex-row interact-widget\"))], Dict{Symbol,Any}())"
      ]
     },
     "execution_count": 11,
     "metadata": {
      "application/vnd.webio.node+json": {
       "kernelId": "ef4624e9-3b3e-4b0a-98d2-430ad96dc488"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "@manipulate for i in 1:10\n",
    "    HTML(i)\n",
    "end"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "266-element WeakRefStrings.StringArray{String,1}:\n",
       " \"Afghanistan\"\n",
       " \"Albania\"\n",
       " \"Algeria\"\n",
       " \"Andorra\"\n",
       " \"Angola\"\n",
       " \"Antigua and Barbuda\"\n",
       " \"Argentina\"\n",
       " \"Armenia\"\n",
       " \"Australia\"\n",
       " \"Australia\"\n",
       " \"Australia\"\n",
       " \"Australia\"\n",
       " \"Australia\"\n",
       " ⋮\n",
       " \"Sierra Leone\"\n",
       " \"Netherlands\"\n",
       " \"Malawi\"\n",
       " \"United Kingdom\"\n",
       " \"France\"\n",
       " \"South Sudan\"\n",
       " \"Western Sahara\"\n",
       " \"Sao Tome and Principe\"\n",
       " \"Yemen\"\n",
       " \"Comoros\"\n",
       " \"Tajikistan\"\n",
       " \"Lesotho\""
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "countries = datacopy[:, 2] # A shorter way to extract all the data from column 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "266-element Array{String,1}:\n",
       " \"Afghanistan\"\n",
       " \"Albania\"\n",
       " \"Algeria\"\n",
       " \"Andorra\"\n",
       " \"Angola\"\n",
       " \"Antigua and Barbuda\"\n",
       " \"Argentina\"\n",
       " \"Armenia\"\n",
       " \"Australia\"\n",
       " \"Australia\"\n",
       " \"Australia\"\n",
       " \"Australia\"\n",
       " \"Australia\"\n",
       " ⋮\n",
       " \"Sierra Leone\"\n",
       " \"Netherlands\"\n",
       " \"Malawi\"\n",
       " \"United Kingdom\"\n",
       " \"France\"\n",
       " \"South Sudan\"\n",
       " \"Western Sahara\"\n",
       " \"Sao Tome and Principe\"\n",
       " \"Yemen\"\n",
       " \"Comoros\"\n",
       " \"Tajikistan\"\n",
       " \"Lesotho\""
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "countries = collect(datacopy[:, 2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "188-element Array{String,1}:\n",
       " \"Afghanistan\"\n",
       " \"Albania\"\n",
       " \"Algeria\"\n",
       " \"Andorra\"\n",
       " \"Angola\"\n",
       " \"Antigua and Barbuda\"\n",
       " \"Argentina\"\n",
       " \"Armenia\"\n",
       " \"Australia\"\n",
       " \"Austria\"\n",
       " \"Azerbaijan\"\n",
       " \"Bahamas\"\n",
       " \"Bahrain\"\n",
       " ⋮\n",
       " \"MS Zaandam\"\n",
       " \"Botswana\"\n",
       " \"Burundi\"\n",
       " \"Sierra Leone\"\n",
       " \"Malawi\"\n",
       " \"South Sudan\"\n",
       " \"Western Sahara\"\n",
       " \"Sao Tome and Principe\"\n",
       " \"Yemen\"\n",
       " \"Comoros\"\n",
       " \"Tajikistan\"\n",
       " \"Lesotho\""
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "uniquecountries = unique(countries)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
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        {
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             "children": [
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                  "step": 1,
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       "                '<div style=\"padding: 1em; background-color: #f8d6da; border: 1px solid #f5c6cb\">' +\n",
       "                '<p><strong>WebIO not detected.</strong></p>' +\n",
       "                '<p>Please read ' +\n",
       "                '<a href=\"https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/\" target=\"_blank\">the troubleshooting guide</a> ' +\n",
       "                'for more information on how to resolve this issue.</p>' +\n",
       "                '<p><a href=\"https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/\" target=\"_blank\">https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/</a></p>' +\n",
       "                '</div>'\n",
       "            );\n",
       "    }\n",
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       "Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[DataFrameRow. Omitted printing of 3 columns\n",
       "│ Row │ province │ country   │ Lat     │ Long    │ 1/22/20 │ 1/23/20 │ 1/24/20 │\n",
       "│     │ \u001b[90mString?\u001b[39m  │ \u001b[90mString\u001b[39m    │ \u001b[90mFloat64\u001b[39m │ \u001b[90mFloat64\u001b[39m │ \u001b[90mInt64\u001b[39m   │ \u001b[90mInt64\u001b[39m   │ \u001b[90mInt64\u001b[39m   │\n",
       "├─────┼──────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤\n",
       "│ 133 │ \u001b[90mmissing\u001b[39m  │ Indonesia │ -0.7893 │ 113.921 │ 0       │ 0       │ 0       │], Dict{Symbol,Any}(:className => \"interact-flex-row interact-widget\"))], Dict{Symbol,Any}())"
      ]
     },
     "execution_count": 16,
     "metadata": {
      "application/vnd.webio.node+json": {
       "kernelId": "ef4624e9-3b3e-4b0a-98d2-430ad96dc488"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "@manipulate for i in 1:length(countries)\n",
    "    datacopy[i, 1:10] # column 1 through 10\n",
    "end"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "true"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "startswith(\"South\", \"S\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Array comprehension"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "266-element Array{Bool,1}:\n",
       " 0\n",
       " 0\n",
       " 0\n",
       " 0\n",
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       " 0\n",
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       " 0\n",
       " ⋮\n",
       " 0\n",
       " 0\n",
       " 0\n",
       " 0\n",
       " 0\n",
       " 1\n",
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       " 0\n",
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       " 0\n",
       " 0"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scountries = [startswith(country, \"South\") for country in countries]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"data-frame\"><thead><tr><th></th><th>province</th><th>country</th><th>Lat</th><th>Long</th><th>1/22/20</th><th>1/23/20</th><th>1/24/20</th><th>1/25/20</th><th>1/26/20</th></tr><tr><th></th><th>String?</th><th>String</th><th>Float64</th><th>Float64</th><th>Int64</th><th>Int64</th><th>Int64</th><th>Int64</th><th>Int64</th></tr></thead><tbody><p>2 rows × 194 columns (omitted printing of 185 columns)</p><tr><th>1</th><td><em>missing</em></td><td>South Africa</td><td>-30.5595</td><td>22.9375</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th>2</th><td><em>missing</em></td><td>South Sudan</td><td>6.877</td><td>31.307</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr></tbody></table>"
      ],
      "text/latex": [
       "\\begin{tabular}{r|cccccccccc}\n",
       "\t& province & country & Lat & Long & 1/22/20 & 1/23/20 & 1/24/20 & 1/25/20 & 1/26/20 & \\\\\n",
       "\t\\hline\n",
       "\t& String? & String & Float64 & Float64 & Int64 & Int64 & Int64 & Int64 & Int64 & \\\\\n",
       "\t\\hline\n",
       "\t1 & \\emph{missing} & South Africa & -30.5595 & 22.9375 & 0 & 0 & 0 & 0 & 0 & $\\dots$ \\\\\n",
       "\t2 & \\emph{missing} & South Sudan & 6.877 & 31.307 & 0 & 0 & 0 & 0 & 0 & $\\dots$ \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "2×194 DataFrame. Omitted printing of 188 columns\n",
       "│ Row │ province │ country      │ Lat      │ Long    │ 1/22/20 │ 1/23/20 │\n",
       "│     │ \u001b[90mString?\u001b[39m  │ \u001b[90mString\u001b[39m       │ \u001b[90mFloat64\u001b[39m  │ \u001b[90mFloat64\u001b[39m │ \u001b[90mInt64\u001b[39m   │ \u001b[90mInt64\u001b[39m   │\n",
       "├─────┼──────────┼──────────────┼──────────┼─────────┼─────────┼─────────┤\n",
       "│ 1   │ \u001b[90mmissing\u001b[39m  │ South Africa │ -30.5595 │ 22.9375 │ 0       │ 0       │\n",
       "│ 2   │ \u001b[90mmissing\u001b[39m  │ South Sudan  │ 6.877    │ 31.307  │ 0       │ 0       │"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datacopy[scountries, :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "266-element BitArray{1}:\n",
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     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "countries .== \"South Africa\" \n",
    "# period before == is \"broadcasting\": apply operation to each element of a vector"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "266-element Array{Bool,1}:\n",
       " 0\n",
       " 0\n",
       " 0\n",
       " 0\n",
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     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "sa = [startswith(country, \"South Africa\") for country in countries]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2-element Array{Any,1}:\n",
       " Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0  …  0, 0, 0, 0, 0, 0, 0, 0, 0, 0]\n",
       " Colon()"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datarow =[sa, :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "201"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "soutafricarow = findfirst(countries .== \"South Africa\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<p>DataFrameRow (194 columns)</p><table class=\"data-frame\"><thead><tr><th></th><th>province</th><th>country</th><th>Lat</th><th>Long</th><th>1/22/20</th><th>1/23/20</th><th>1/24/20</th><th>1/25/20</th><th>1/26/20</th></tr><tr><th></th><th>String?</th><th>String</th><th>Float64</th><th>Float64</th><th>Int64</th><th>Int64</th><th>Int64</th><th>Int64</th><th>Int64</th></tr></thead><tbody><tr><th>201</th><td><em>missing</em></td><td>South Africa</td><td>-30.5595</td><td>22.9375</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr></tbody></table>"
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       "\\begin{tabular}{r|cccccccccc}\n",
       "\t& province & country & Lat & Long & 1/22/20 & 1/23/20 & 1/24/20 & 1/25/20 & 1/26/20 & \\\\\n",
       "\t\\hline\n",
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       "\t201 & \\emph{missing} & South Africa & -30.5595 & 22.9375 & 0 & 0 & 0 & 0 & 0 & $\\dots$ \\\\\n",
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      "text/plain": [
       "DataFrameRow. Omitted printing of 188 columns\n",
       "│ Row │ province │ country      │ Lat      │ Long    │ 1/22/20 │ 1/23/20 │\n",
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     "execution_count": 24,
     "metadata": {},
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   ],
   "source": [
    "sadatarow = datacopy[soutafricarow, :]"
   ]
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  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
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       "      1\n",
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       "      1\n",
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     "execution_count": 25,
     "metadata": {},
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  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "using Plots"
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  {
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   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       " \"province\"\n",
       " \"country\"\n",
       " \"Lat\"\n",
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       " \"1/29/20\"\n",
       " \"1/30/20\"\n",
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       " \"7/28/20\"\n",
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     "execution_count": 27,
     "metadata": {},
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   "source": [
    "coldate = names(datacopy)"
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   "cell_type": "code",
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   "metadata": {},
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      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot(sadata)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "147-element Array{String,1}:\n",
       " \"3/5/20\"\n",
       " \"3/6/20\"\n",
       " \"3/7/20\"\n",
       " \"3/8/20\"\n",
       " \"3/9/20\"\n",
       " \"3/10/20\"\n",
       " \"3/11/20\"\n",
       " \"3/12/20\"\n",
       " \"3/13/20\"\n",
       " \"3/14/20\"\n",
       " \"3/15/20\"\n",
       " \"3/16/20\"\n",
       " \"3/17/20\"\n",
       " ⋮\n",
       " \"7/18/20\"\n",
       " \"7/19/20\"\n",
       " \"7/20/20\"\n",
       " \"7/21/20\"\n",
       " \"7/22/20\"\n",
       " \"7/23/20\"\n",
       " \"7/24/20\"\n",
       " \"7/25/20\"\n",
       " \"7/26/20\"\n",
       " \"7/27/20\"\n",
       " \"7/28/20\"\n",
       " \"7/29/20\""
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confirmeddate = String.(names(datacopy))[48:end] # apply STring function to each element"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Parse: convert string representation into a Julia object:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"3/5/20\""
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confirmeddate[1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "using Dates which comes with Julia"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dateformat\"m/d/y\""
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "format = Dates.DateFormat(\"m/d/y\") #Month, Date, Year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2020-03-05"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "parse(Date, confirmeddate[1], format) + Year(2000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "147-element Array{Date,1}:\n",
       " 2020-03-05\n",
       " 2020-03-06\n",
       " 2020-03-07\n",
       " 2020-03-08\n",
       " 2020-03-09\n",
       " 2020-03-10\n",
       " 2020-03-11\n",
       " 2020-03-12\n",
       " 2020-03-13\n",
       " 2020-03-14\n",
       " 2020-03-15\n",
       " 2020-03-16\n",
       " 2020-03-17\n",
       " ⋮\n",
       " 2020-07-18\n",
       " 2020-07-19\n",
       " 2020-07-20\n",
       " 2020-07-21\n",
       " 2020-07-22\n",
       " 2020-07-23\n",
       " 2020-07-24\n",
       " 2020-07-25\n",
       " 2020-07-26\n",
       " 2020-07-27\n",
       " 2020-07-28\n",
       " 2020-07-29"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confirmeddays = parse.(Date, confirmeddate, format) .+ Year(2000)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Testing subjects:\n",
    "\n",
    "***plot(confirmeddays, sadata, label=\"time line\", #xticks=confirmed_days[1:14:end], xrotation=45, leg=:topleft)***\n",
    "\n",
    "***scatter!(confirmeddays, sadata, label=\"confirmed days\")***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Straight line on semi-log means ***exponential growth***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
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       "  995.392,544.119 1008.91,541.412 1022.44,537.99 1035.96,533.632 1049.48,530.216 1063,524.577 1076.53,520.127 1090.05,515.808 1103.57,510.645 1117.09,505.03 \n",
       "  1130.61,499.888 1144.14,495.967 1157.66,493.439 1171.18,489.084 1184.7,482.704 1198.23,477.981 1211.75,472.936 1225.27,467.857 1238.79,462.629 1252.31,457.536 \n",
       "  1265.84,453.12 1279.36,448.195 1292.88,443.284 1306.4,436.883 1319.93,432.149 1333.45,428.391 1346.97,424.633 1360.49,419.602 1374.01,415.456 1387.54,410.616 \n",
       "  1401.06,405.965 1414.58,402.284 1428.1,400.051 1441.63,394.56 1455.15,390.031 1468.67,384.687 1482.19,379.96 1495.72,375.518 1509.24,371.404 1522.76,367.988 \n",
       "  1536.28,364.139 1549.8,357.264 1563.33,352.095 1576.85,347.416 1590.37,343.374 1603.89,339.064 1617.42,335.714 1630.94,332.022 1644.46,327.473 1657.98,322.879 \n",
       "  1671.5,317.963 1685.03,312.742 1698.55,308.731 1712.07,305.652 1725.59,301.365 1739.12,297.878 1752.64,294.205 1766.16,289.67 1779.68,285.662 1793.2,282.11 \n",
       "  1806.73,278.526 1820.25,274.225 1833.77,269.516 1847.29,265.301 1860.82,260.667 1874.34,256.801 1887.86,253.225 1901.38,249.352 1914.91,245.042 1928.43,240.65 \n",
       "  1941.95,236.324 1955.47,231.425 1968.99,227.668 1982.52,223.996 1996.04,220.036 2009.56,216.741 2023.08,211.874 2036.61,207.714 2050.13,203.395 2063.65,199.719 \n",
       "  2077.17,196.344 2090.69,193.394 2104.22,189.944 2117.74,186.528 2131.26,183.199 2144.78,180.02 2158.31,176.922 2171.83,174.846 2185.35,173.065 2198.87,170.276 \n",
       "  2212.39,167.587 2225.92,164.82 2239.44,162.471 2252.96,160.368 2266.48,159.066 2280.01,157.76 2293.53,155.749 \n",
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      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Notes\n",
    "# confirmeddays = x\n",
    "# sadata = y.\n",
    "# xticks=confirmed_days[1:14:end] : Every 14 days\n",
    "\n",
    "covid19confirmedcases = plot(confirmeddays, label=\"time line\", sadata,\n",
    "                                xticks=confirmeddays[1:14:end], \n",
    "                                xrotation=45, \n",
    "                                leg=:topleft, \n",
    "                                yscale=:log10)\n",
    "\n",
    "    scatter!(confirmeddays, sadata, \n",
    "            linewidths=1, \n",
    "            label = \"confirmed cases\")\n",
    "\n",
    "xlabel!(\"Confirmed cases every 14 days\")\n",
    "ylabel!(\"Total confirmed cases\")\n",
    "title!(\"COVID-19\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Plots.GRBackend()"
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     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Plots.PlotlyJSBackend()"
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     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plotlyjs()"
   ]
  },
  {
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   "execution_count": 38,
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   "source": [
    "#Notes:\n",
    "#Added scatter!()\n",
    "#confirmeddays = x\n",
    "#sadata = y.\n",
    "#xticks=confirmeddays[1:14:end] : Every 14 days\n",
    "#optional label=\"time line\" m=:o  The letter o form the point in the graph\n",
    "\n",
    "covid19confirmedcases = plot(confirmeddays, label=\"time line\", sadata,\n",
    "                                xticks=confirmeddays[1:14:end], \n",
    "                                xrotation=45, \n",
    "                                leg=:right, \n",
    "                                yscale=:log10,\n",
    "                                grid=false)\n",
    "    scatter!(confirmeddays, sadata, \n",
    "            linewidths=1, \n",
    "            hover=sadata,\n",
    "            label = \"confirmed cases\")\n",
    "\n",
    "theme(:dark)\n",
    "xlabel!(\"Confirmed cases every 14 days\")\n",
    "ylabel!(\"Total confirmed cases\")\n",
    "title!(\"COVID-19\")\n",
    " \n"
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