{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Find results by country in DigitalNZ\n",
    "\n",
    "Many items in DigtalNZ include location information. This can include a country, but as far as I can see there's no direct way to search for results relating to a particular country using the API.\n",
    "\n",
    "You can, however, search for geocoded locations using bounding boxes. This notebook shows how you can use this to search for countries. It makes use of the handy [country-bounding-boxes](https://github.com/graydon/country-bounding-boxes) Python package."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-warning\">\n",
    "<p>If you haven't used one of these notebooks before, they're basically web pages in which you can write, edit, and run live code. They're meant to encourage experimentation, so don't feel nervous. Just try running a few cells and see what happens!.</p>\n",
    "\n",
    "<p>\n",
    "    Some tips:\n",
    "    <ul>\n",
    "        <li>Code cells have boxes around them. When you hover over them a <i class=\"fa-step-forward fa\"></i> icon appears.</li>\n",
    "        <li>To run a code cell either click the <i class=\"fa-step-forward fa\"></i> icon, or click on the cell and then hit <b>Shift+Enter</b>. The <b>Shift+Enter</b> combo will also move you to the next cell, so it's a quick way to work through the notebook.</li>\n",
    "        <li>While a cell is running a <b>*</b> appears in the square brackets next to the cell. Once the cell has finished running the asterix will be replaced with a number.</li>\n",
    "        <li>In most cases you'll want to start from the top of notebook and work your way down running each cell in turn. Later cells might depend on the results of earlier ones.</li>\n",
    "        <li>To edit a code cell, just click on it and type stuff. Remember to run the cell once you've finished editing.</li>\n",
    "    </ul>\n",
    "</p>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RendererRegistry.enable('notebook')"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import requests\n",
    "import pandas as pd\n",
    "from country_bounding_boxes import country_subunits_by_iso_code\n",
    "import ipywidgets as widgets\n",
    "import iso3166\n",
    "from tqdm import tqdm_notebook\n",
    "from vega_datasets import data as vega_data\n",
    "import altair as alt\n",
    "from IPython.display import display, HTML\n",
    "import random\n",
    "\n",
    "alt.renderers.enable('notebook')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get your DigitalNZ API key\n",
    "\n",
    "[Get yourself an API key](https://digitalnz.org/developers/getting-started) and paste it between the quotes below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your API key is: 9yXNTynMDb3TUQws7QuD\n"
     ]
    }
   ],
   "source": [
    "api_key = '9yXNTynMDb3TUQws7QuD'\n",
    "print('Your API key is: {}'.format(api_key))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Make a results by country widget\n",
    "\n",
    "First we'll make a little widget that you can use to find the number of results in DigitalNZ for a particular country."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def search_by_country(country):\n",
    "    # Set basic parameters for the API query\n",
    "    params = {\n",
    "        'api_key': api_key,\n",
    "        'text': ''\n",
    "    }\n",
    "    result_count = 0\n",
    "    \n",
    "    # We'll collect the results we get to display a sample\n",
    "    results = []\n",
    "    \n",
    "    # Get bounding boxes for the supplied two letter country code\n",
    "    # Note that there may be more than one bounding box per country\n",
    "    bboxes = [c.bbox for c in country_subunits_by_iso_code(country.alpha2)] \n",
    "    \n",
    "    # Loop through bounding boxes\n",
    "    for bbox in bboxes:\n",
    "        \n",
    "        # DigitalNZ expects a bounding box in the format N,W,S,E.\n",
    "        # We have to reorganise things and save the bbox as a string to use in the API query\n",
    "        bbox_str = '{3},{0},{1},{2}'.format(*bbox)\n",
    "        \n",
    "        # Add the bbox to the query params\n",
    "        params['geo_bbox'] = bbox_str\n",
    "        \n",
    "        # Make the request\n",
    "        response = requests.get('http://api.digitalnz.org/v3/records.json', params)\n",
    "        \n",
    "        # Get the result as JSON\n",
    "        data = response.json()\n",
    "        \n",
    "        # Get the total results\n",
    "        result_count += data['search']['result_count']\n",
    "        \n",
    "        # Add the results to our collection for this country\n",
    "        results += data['search']['results']\n",
    "        \n",
    "        # Display the number of results\n",
    "        html = '<h4>There are {:,} items related to {}.</h4>'.format(result_count, country.name)\n",
    "        if results:\n",
    "            # If there are more than 10 results select a random sample of 10\n",
    "            sample = 10 if len(results) > 10 else len(results)\n",
    "            html += '<p>Here are {} of {:,} results:</p><ul>'.format(sample, result_count)\n",
    "        \n",
    "            # Display a random sample of results\n",
    "            for result in random.sample(results, sample):\n",
    "                html += '<li><a target=\"blank\" href=\"{}\">{}</li>'.format(result['source_url'], result['title'])\n",
    "            html += '</ul>'\n",
    "    display(HTML(html))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a8675b21fcca4d999a7fe78c1ba994be",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='country', options={'AFGHANISTAN': Country(name='Afghanistan', alph…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# This widget is bound to the search_by_country function\n",
    "# Selecting a country will run the function and display the results\n",
    "widgets.interact(search_by_country, country=iso3166.countries_by_name);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Find the number of results for every country\n",
    "\n",
    "Now we'll get the number of results for every country and do something with them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "def totals_by_country():\n",
    "    country_totals = []\n",
    "    params = {\n",
    "        'api_key': api_key,\n",
    "        'text': ''\n",
    "    }\n",
    "    for country in tqdm_notebook(iso3166.countries):\n",
    "        result_count = 0\n",
    "        bboxes = [c.bbox for c in country_subunits_by_iso_code(country.alpha2)] \n",
    "        for bbox in bboxes:\n",
    "            # DigitalNZ expects N,W,S,E\n",
    "            bbox_str = '{3},{0},{1},{2}'.format(*bbox)\n",
    "            params['geo_bbox'] = bbox_str\n",
    "            response = requests.get('http://api.digitalnz.org/v3/records.json', params)\n",
    "            data = response.json()\n",
    "            result_count += data['search']['result_count']\n",
    "        country_totals.append({'country': country.name, 'alpha_code': country.alpha2, 'numeric_code': int(country.numeric), 'results': result_count})\n",
    "    return country_totals            "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e50ec155a817426699a6d04e8ca34199",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=0, max=250), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "totals = totals_by_country()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "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>alpha_code</th>\n",
       "      <th>country</th>\n",
       "      <th>numeric_code</th>\n",
       "      <th>results</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>NZ</td>\n",
       "      <td>New Zealand</td>\n",
       "      <td>554</td>\n",
       "      <td>488854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>AQ</td>\n",
       "      <td>Antarctica</td>\n",
       "      <td>10</td>\n",
       "      <td>18366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "      <td>250</td>\n",
       "      <td>436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>AU</td>\n",
       "      <td>Australia</td>\n",
       "      <td>36</td>\n",
       "      <td>422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>NF</td>\n",
       "      <td>Norfolk Island</td>\n",
       "      <td>574</td>\n",
       "      <td>270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>BE</td>\n",
       "      <td>Belgium</td>\n",
       "      <td>56</td>\n",
       "      <td>261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>NC</td>\n",
       "      <td>New Caledonia</td>\n",
       "      <td>540</td>\n",
       "      <td>242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>US</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>840</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>GB</td>\n",
       "      <td>United Kingdom of Great Britain and Northern I...</td>\n",
       "      <td>826</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>GR</td>\n",
       "      <td>Greece</td>\n",
       "      <td>300</td>\n",
       "      <td>190</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    alpha_code                                            country  \\\n",
       "159         NZ                                        New Zealand   \n",
       "8           AQ                                         Antarctica   \n",
       "75          FR                                             France   \n",
       "13          AU                                          Australia   \n",
       "164         NF                                     Norfolk Island   \n",
       "21          BE                                            Belgium   \n",
       "158         NC                                      New Caledonia   \n",
       "236         US                           United States of America   \n",
       "235         GB  United Kingdom of Great Britain and Northern I...   \n",
       "85          GR                                             Greece   \n",
       "\n",
       "     numeric_code  results  \n",
       "159           554   488854  \n",
       "8              10    18366  \n",
       "75            250      436  \n",
       "13             36      422  \n",
       "164           574      270  \n",
       "21             56      261  \n",
       "158           540      242  \n",
       "236           840      200  \n",
       "235           826      200  \n",
       "85            300      190  "
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Convert the results to a dataframe\n",
    "df = pd.DataFrame(totals).sort_values(['results'], ascending=False)\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save the results to a CSV file in case you want to download\n",
    "df.to_csv('country_totals.csv', index=False)\n",
    "display(HTML('<a target=\"_blank\" href=\"country_totals.csv\">Download file</a>'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dispay the results on a choropleth map\n",
    "\n",
    "As you can see from the sample above, New Zealand and Antarctica have *lots* more item than anywhere else. To make it possible to see differences between the other countries in the world, we'll limit the scale of the map to 600."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "var spec = {\"config\": {\"view\": {\"width\": 400, \"height\": 300}}, \"data\": {\"url\": \"https://vega.github.io/vega-datasets/data/world-110m.json\", \"format\": {\"feature\": \"countries\", \"type\": \"topojson\"}}, \"mark\": {\"type\": \"geoshape\", \"stroke\": \"black\", \"strokeWidth\": 0.2}, \"encoding\": {\"color\": {\"type\": \"quantitative\", \"field\": \"results\", \"scale\": {\"domain\": [0, 600], \"scheme\": \"greenblue\"}}}, \"height\": 500, \"projection\": {\"type\": \"equirectangular\"}, \"transform\": [{\"lookup\": \"id\", \"from\": {\"data\": {\"name\": \"data-bb35a8a9d1f8d37feb9ae142b34ddad9\"}, \"key\": \"numeric_code\", \"fields\": [\"results\"]}}], \"width\": 800, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.6.0.json\", \"datasets\": {\"data-bb35a8a9d1f8d37feb9ae142b34ddad9\": [{\"alpha_code\": \"NZ\", \"country\": \"New Zealand\", \"numeric_code\": 554, \"results\": 488854}, {\"alpha_code\": \"AQ\", \"country\": \"Antarctica\", \"numeric_code\": 10, \"results\": 18366}, {\"alpha_code\": \"FR\", \"country\": \"France\", \"numeric_code\": 250, \"results\": 436}, {\"alpha_code\": \"AU\", \"country\": \"Australia\", \"numeric_code\": 36, \"results\": 422}, {\"alpha_code\": \"NF\", \"country\": \"Norfolk Island\", \"numeric_code\": 574, \"results\": 270}, {\"alpha_code\": \"BE\", \"country\": \"Belgium\", \"numeric_code\": 56, \"results\": 261}, {\"alpha_code\": \"NC\", \"country\": \"New Caledonia\", \"numeric_code\": 540, \"results\": 242}, {\"alpha_code\": \"US\", \"country\": \"United States of America\", \"numeric_code\": 840, \"results\": 200}, {\"alpha_code\": \"GB\", \"country\": \"United Kingdom of Great Britain and Northern Ireland\", \"numeric_code\": 826, \"results\": 200}, {\"alpha_code\": \"GR\", \"country\": \"Greece\", \"numeric_code\": 300, \"results\": 190}, {\"alpha_code\": \"TR\", \"country\": \"Turkey\", \"numeric_code\": 792, \"results\": 173}, {\"alpha_code\": \"CA\", \"country\": \"Canada\", \"numeric_code\": 124, \"results\": 78}, {\"alpha_code\": \"FJ\", \"country\": \"Fiji\", \"numeric_code\": 242, \"results\": 70}, {\"alpha_code\": \"JP\", \"country\": \"Japan\", \"numeric_code\": 392, \"results\": 69}, {\"alpha_code\": \"CN\", \"country\": \"China\", \"numeric_code\": 156, \"results\": 60}, {\"alpha_code\": \"KI\", \"country\": \"Kiribati\", \"numeric_code\": 296, \"results\": 35}, {\"alpha_code\": \"RU\", \"country\": \"Russian Federation\", \"numeric_code\": 643, \"results\": 32}, {\"alpha_code\": \"TF\", \"country\": \"French Southern Territories\", \"numeric_code\": 260, \"results\": 31}, {\"alpha_code\": \"EG\", \"country\": \"Egypt\", \"numeric_code\": 818, \"results\": 29}, {\"alpha_code\": \"HK\", \"country\": \"Hong Kong\", \"numeric_code\": 344, \"results\": 29}, {\"alpha_code\": \"IT\", \"country\": \"Italy\", \"numeric_code\": 380, \"results\": 27}, {\"alpha_code\": \"IL\", \"country\": \"Israel\", \"numeric_code\": 376, \"results\": 26}, {\"alpha_code\": \"MX\", \"country\": \"Mexico\", \"numeric_code\": 484, \"results\": 25}, {\"alpha_code\": \"ZA\", \"country\": \"South Africa\", \"numeric_code\": 710, \"results\": 20}, {\"alpha_code\": \"ID\", \"country\": \"Indonesia\", \"numeric_code\": 360, \"results\": 20}, {\"alpha_code\": \"BR\", \"country\": \"Brazil\", \"numeric_code\": 76, \"results\": 18}, {\"alpha_code\": \"GS\", \"country\": \"South Georgia and the South Sandwich Islands\", \"numeric_code\": 239, \"results\": 17}, {\"alpha_code\": \"IN\", \"country\": \"India\", \"numeric_code\": 356, \"results\": 16}, {\"alpha_code\": \"PS\", \"country\": \"Palestine, State of\", \"numeric_code\": 275, \"results\": 16}, {\"alpha_code\": \"SA\", \"country\": \"Saudi Arabia\", \"numeric_code\": 682, \"results\": 16}, {\"alpha_code\": \"CK\", \"country\": \"Cook Islands\", \"numeric_code\": 184, \"results\": 14}, {\"alpha_code\": \"JO\", \"country\": \"Jordan\", \"numeric_code\": 400, \"results\": 14}, {\"alpha_code\": \"BJ\", \"country\": \"Benin\", \"numeric_code\": 204, \"results\": 13}, {\"alpha_code\": \"UG\", \"country\": \"Uganda\", \"numeric_code\": 800, \"results\": 12}, {\"alpha_code\": \"ZW\", \"country\": \"Zimbabwe\", \"numeric_code\": 716, \"results\": 12}, {\"alpha_code\": \"VN\", \"country\": \"Viet Nam\", \"numeric_code\": 704, \"results\": 12}, {\"alpha_code\": \"ZM\", \"country\": \"Zambia\", \"numeric_code\": 894, \"results\": 12}, {\"alpha_code\": \"KH\", \"country\": \"Cambodia\", \"numeric_code\": 116, \"results\": 11}, {\"alpha_code\": \"NL\", \"country\": \"Netherlands\", \"numeric_code\": 528, \"results\": 11}, {\"alpha_code\": \"WS\", \"country\": \"Samoa\", \"numeric_code\": 882, \"results\": 10}, {\"alpha_code\": \"SB\", \"country\": \"Solomon Islands\", \"numeric_code\": 90, \"results\": 10}, {\"alpha_code\": \"IE\", \"country\": \"Ireland\", \"numeric_code\": 372, \"results\": 9}, {\"alpha_code\": \"DE\", \"country\": \"Germany\", \"numeric_code\": 276, \"results\": 9}, {\"alpha_code\": \"NP\", \"country\": \"Nepal\", \"numeric_code\": 524, \"results\": 9}, {\"alpha_code\": \"BW\", \"country\": \"Botswana\", \"numeric_code\": 72, \"results\": 8}, {\"alpha_code\": \"BA\", \"country\": \"Bosnia and Herzegovina\", \"numeric_code\": 70, \"results\": 8}, {\"alpha_code\": \"HM\", \"country\": \"Heard Island and McDonald Islands\", \"numeric_code\": 334, \"results\": 8}, {\"alpha_code\": \"AR\", \"country\": \"Argentina\", \"numeric_code\": 32, \"results\": 8}, {\"alpha_code\": \"MZ\", \"country\": \"Mozambique\", \"numeric_code\": 508, \"results\": 7}, {\"alpha_code\": \"NG\", \"country\": \"Nigeria\", \"numeric_code\": 566, \"results\": 7}, {\"alpha_code\": \"PG\", \"country\": \"Papua New Guinea\", \"numeric_code\": 598, \"results\": 6}, {\"alpha_code\": \"DZ\", \"country\": \"Algeria\", \"numeric_code\": 12, \"results\": 6}, {\"alpha_code\": \"IR\", \"country\": \"Iran, Islamic Republic of\", \"numeric_code\": 364, \"results\": 6}, {\"alpha_code\": \"CM\", \"country\": \"Cameroon\", \"numeric_code\": 120, \"results\": 6}, {\"alpha_code\": \"ES\", \"country\": \"Spain\", \"numeric_code\": 724, \"results\": 5}, {\"alpha_code\": \"PR\", \"country\": \"Puerto Rico\", \"numeric_code\": 630, \"results\": 5}, {\"alpha_code\": \"TZ\", \"country\": \"Tanzania, United Republic of\", \"numeric_code\": 834, \"results\": 5}, {\"alpha_code\": \"ML\", \"country\": \"Mali\", \"numeric_code\": 466, \"results\": 5}, {\"alpha_code\": \"HR\", \"country\": \"Croatia\", \"numeric_code\": 191, \"results\": 4}, {\"alpha_code\": \"MR\", \"country\": \"Mauritania\", \"numeric_code\": 478, \"results\": 4}, {\"alpha_code\": \"MW\", \"country\": \"Malawi\", \"numeric_code\": 454, \"results\": 4}, {\"alpha_code\": \"MY\", \"country\": \"Malaysia\", \"numeric_code\": 458, \"results\": 4}, {\"alpha_code\": \"PY\", \"country\": \"Paraguay\", \"numeric_code\": 600, \"results\": 4}, {\"alpha_code\": \"LB\", \"country\": \"Lebanon\", \"numeric_code\": 422, \"results\": 3}, {\"alpha_code\": \"KR\", \"country\": \"Korea, Republic of\", \"numeric_code\": 410, \"results\": 3}, {\"alpha_code\": \"CL\", \"country\": \"Chile\", \"numeric_code\": 152, \"results\": 3}, {\"alpha_code\": \"TK\", \"country\": \"Tokelau\", \"numeric_code\": 772, \"results\": 3}, {\"alpha_code\": \"SY\", \"country\": \"Syrian Arab Republic\", \"numeric_code\": 760, \"results\": 3}, {\"alpha_code\": \"IQ\", \"country\": \"Iraq\", \"numeric_code\": 368, \"results\": 3}, {\"alpha_code\": \"TN\", \"country\": \"Tunisia\", \"numeric_code\": 788, \"results\": 3}, {\"alpha_code\": \"SE\", \"country\": \"Sweden\", \"numeric_code\": 752, \"results\": 2}, {\"alpha_code\": \"GL\", \"country\": \"Greenland\", \"numeric_code\": 304, \"results\": 2}, {\"alpha_code\": \"CH\", \"country\": \"Switzerland\", \"numeric_code\": 756, \"results\": 2}, {\"alpha_code\": \"NU\", \"country\": \"Niue\", \"numeric_code\": 570, \"results\": 2}, {\"alpha_code\": \"IS\", \"country\": \"Iceland\", \"numeric_code\": 352, \"results\": 2}, {\"alpha_code\": \"PK\", \"country\": \"Pakistan\", \"numeric_code\": 586, \"results\": 2}, {\"alpha_code\": \"JM\", \"country\": \"Jamaica\", \"numeric_code\": 388, \"results\": 2}, {\"alpha_code\": \"LY\", \"country\": \"Libya\", \"numeric_code\": 434, \"results\": 2}, {\"alpha_code\": \"LK\", \"country\": \"Sri Lanka\", \"numeric_code\": 144, \"results\": 2}, {\"alpha_code\": \"AF\", \"country\": \"Afghanistan\", \"numeric_code\": 4, \"results\": 2}, {\"alpha_code\": \"DK\", \"country\": \"Denmark\", \"numeric_code\": 208, \"results\": 2}, {\"alpha_code\": \"PF\", \"country\": \"French Polynesia\", \"numeric_code\": 258, \"results\": 2}, {\"alpha_code\": \"CD\", \"country\": \"Congo, Democratic Republic of the\", \"numeric_code\": 180, \"results\": 2}, {\"alpha_code\": \"LS\", \"country\": \"Lesotho\", \"numeric_code\": 426, \"results\": 1}, {\"alpha_code\": \"MT\", \"country\": \"Malta\", \"numeric_code\": 470, \"results\": 1}, 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{\"alpha_code\": \"HU\", \"country\": \"Hungary\", \"numeric_code\": 348, \"results\": 0}, {\"alpha_code\": \"CW\", \"country\": \"Cura\\u00e7ao\", \"numeric_code\": 531, \"results\": 0}, {\"alpha_code\": \"AX\", \"country\": \"\\u00c5land Islands\", \"numeric_code\": 248, \"results\": 0}, {\"alpha_code\": \"LR\", \"country\": \"Liberia\", \"numeric_code\": 430, \"results\": 0}, {\"alpha_code\": \"TD\", \"country\": \"Chad\", \"numeric_code\": 148, \"results\": 0}, {\"alpha_code\": \"MA\", \"country\": \"Morocco\", \"numeric_code\": 504, \"results\": 0}, {\"alpha_code\": \"CO\", \"country\": \"Colombia\", \"numeric_code\": 170, \"results\": 0}, {\"alpha_code\": \"MM\", \"country\": \"Myanmar\", \"numeric_code\": 104, \"results\": 0}, {\"alpha_code\": \"NA\", \"country\": \"Namibia\", \"numeric_code\": 516, \"results\": 0}, {\"alpha_code\": \"NR\", \"country\": \"Nauru\", \"numeric_code\": 520, \"results\": 0}, {\"alpha_code\": \"CC\", \"country\": \"Cocos (Keeling) Islands\", \"numeric_code\": 166, \"results\": 0}, {\"alpha_code\": \"CX\", \"country\": \"Christmas Island\", \"numeric_code\": 162, \"results\": 0}, {\"alpha_code\": \"CF\", \"country\": \"Central African Republic\", \"numeric_code\": 140, \"results\": 0}, {\"alpha_code\": \"CU\", \"country\": \"Cuba\", \"numeric_code\": 192, \"results\": 0}, {\"alpha_code\": \"NI\", \"country\": \"Nicaragua\", \"numeric_code\": 558, \"results\": 0}, {\"alpha_code\": \"NE\", \"country\": \"Niger\", \"numeric_code\": 562, \"results\": 0}, {\"alpha_code\": \"KY\", \"country\": \"Cayman Islands\", \"numeric_code\": 136, \"results\": 0}, {\"alpha_code\": \"CV\", \"country\": \"Cabo Verde\", \"numeric_code\": 132, \"results\": 0}, {\"alpha_code\": \"BI\", \"country\": \"Burundi\", \"numeric_code\": 108, \"results\": 0}, {\"alpha_code\": \"GE\", \"country\": \"Georgia\", \"numeric_code\": 268, \"results\": 0}, {\"alpha_code\": \"OM\", \"country\": \"Oman\", \"numeric_code\": 512, \"results\": 0}, {\"alpha_code\": \"MS\", \"country\": \"Montserrat\", \"numeric_code\": 500, \"results\": 0}, {\"alpha_code\": \"ME\", \"country\": \"Montenegro\", \"numeric_code\": 499, \"results\": 0}, {\"alpha_code\": \"MN\", \"country\": \"Mongolia\", \"numeric_code\": 496, \"results\": 0}, {\"alpha_code\": \"MC\", \"country\": \"Monaco\", \"numeric_code\": 492, \"results\": 0}, {\"alpha_code\": \"LI\", \"country\": \"Liechtenstein\", \"numeric_code\": 438, \"results\": 0}, {\"alpha_code\": \"LT\", \"country\": \"Lithuania\", \"numeric_code\": 440, \"results\": 0}, {\"alpha_code\": \"LU\", \"country\": \"Luxembourg\", \"numeric_code\": 442, \"results\": 0}, {\"alpha_code\": \"MO\", \"country\": \"Macao\", \"numeric_code\": 446, \"results\": 0}, {\"alpha_code\": \"MG\", \"country\": \"Madagascar\", \"numeric_code\": 450, \"results\": 0}, {\"alpha_code\": \"CI\", \"country\": \"C\\u00f4te d'Ivoire\", \"numeric_code\": 384, \"results\": 0}, {\"alpha_code\": \"CR\", \"country\": \"Costa Rica\", \"numeric_code\": 188, \"results\": 0}, {\"alpha_code\": \"MV\", \"country\": \"Maldives\", \"numeric_code\": 462, \"results\": 0}, {\"alpha_code\": \"MH\", \"country\": \"Marshall Islands\", \"numeric_code\": 584, \"results\": 0}, {\"alpha_code\": \"MQ\", \"country\": \"Martinique\", \"numeric_code\": 474, \"results\": 0}, {\"alpha_code\": \"CG\", \"country\": \"Congo\", \"numeric_code\": 178, \"results\": 0}, {\"alpha_code\": \"MU\", \"country\": \"Mauritius\", \"numeric_code\": 480, \"results\": 0}, {\"alpha_code\": \"YT\", \"country\": \"Mayotte\", \"numeric_code\": 175, \"results\": 0}, {\"alpha_code\": \"KM\", \"country\": \"Comoros\", \"numeric_code\": 174, \"results\": 0}, {\"alpha_code\": \"MD\", \"country\": \"Moldova, Republic of\", \"numeric_code\": 498, \"results\": 0}, {\"alpha_code\": \"MP\", \"country\": \"Northern Mariana Islands\", \"numeric_code\": 580, \"results\": 0}]}};\n",
       "var opt = {};\n",
       "var type = \"vega-lite\";\n",
       "var id = \"d7b3d604-13d9-4ed5-b30b-f342b4b649b2\";\n",
       "\n",
       "var output_area = this;\n",
       "\n",
       "require([\"nbextensions/jupyter-vega/index\"], function(vega) {\n",
       "  var target = document.createElement(\"div\");\n",
       "  target.id = id;\n",
       "  target.className = \"vega-embed\";\n",
       "\n",
       "  var style = document.createElement(\"style\");\n",
       "  style.textContent = [\n",
       "    \".vega-embed .error p {\",\n",
       "    \"  color: firebrick;\",\n",
       "    \"  font-size: 14px;\",\n",
       "    \"}\",\n",
       "  ].join(\"\\\\n\");\n",
       "\n",
       "  // element is a jQuery wrapped DOM element inside the output area\n",
       "  // see http://ipython.readthedocs.io/en/stable/api/generated/\\\n",
       "  // IPython.display.html#IPython.display.Javascript.__init__\n",
       "  element[0].appendChild(target);\n",
       "  element[0].appendChild(style);\n",
       "\n",
       "  vega.render(\"#\" + id, spec, type, opt, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== \"scripterror\") {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ],
      "text/plain": [
       "<vega.vegalite.VegaLite at 0x1204a3518>"
      ]
     },
     "metadata": {
      "jupyter-vega": "#d7b3d604-13d9-4ed5-b30b-f342b4b649b2"
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     "output_type": "display_data"
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    {
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     "execution_count": 121,
     "metadata": {},
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    },
    {
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     },
     "metadata": {
      "jupyter-vega": "#d7b3d604-13d9-4ed5-b30b-f342b4b649b2"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Get the country outlines\n",
    "world = alt.topo_feature(vega_data.world_110m.url, 'countries')\n",
    "\n",
    "# Create the chart\n",
    "# Note domain setting to limit upper value of scale\n",
    "alt.Chart(world).mark_geoshape(stroke='black', strokeWidth=0.2).encode(\n",
    "    color=alt.Color('results:Q', scale=alt.Scale(scheme='greenblue', domain=[0,600]))\n",
    ").transform_lookup(\n",
    "    lookup='id',\n",
    "    from_=alt.LookupData(df, 'numeric_code', ['results'])\n",
    ").project(\n",
    "    type='equirectangular'\n",
    ").properties(\n",
    "    width=800,\n",
    "    height=500\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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