{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "# Choropleth Maps\n",
    "\n",
    "![](https://upload.wikimedia.org/wikipedia/commons/f/f7/Australian_Census_2011_demographic_map_-_Australia_by_SLA_-_BCP_field_2715_Christianity_Anglican_Persons.svg)\n",
    "\n",
    "Choropleth Maps are maps where the color of each shape is based on the value of a variable.\n",
    "\n",
    "## Library Installation Instructions \n",
    "\n",
    "### If you are using Anaconda on your laptop\n",
    "Execute the following cell exactly once. It will install the needed software on your laptop\n",
    "\n",
    "### If you are using Google Colab\n",
    "Execute the following cell each time you open this notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting geopandas\n",
      "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/24/11/d77c157c16909bd77557d00798b05a5b6615ed60acb5900fbe6a65d35e93/geopandas-0.4.0-py2.py3-none-any.whl (899kB)\n",
      "\u001b[K    100% |████████████████████████████████| 901kB 9.5MB/s eta 0:00:01\n",
      "\u001b[?25hRequirement already satisfied: pandas in /anaconda3/lib/python3.6/site-packages (from geopandas) (0.23.0)\n",
      "Collecting fiona (from geopandas)\n",
      "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/d8/5e/8740d4e451a1b023f289e2834ae2d64e1dd7ef72be70bf265727b5d84a5e/Fiona-1.8.4-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (24.5MB)\n",
      "\u001b[K    100% |████████████████████████████████| 24.5MB 1.2MB/s ta 0:00:011\n",
      "\u001b[?25hCollecting pyproj (from geopandas)\n",
      "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/26/8c/1da0580f334718e04f8bbf74f0515a7fb8185ff96b2560ce080c11aa145b/pyproj-1.9.6.tar.gz (2.8MB)\n",
      "\u001b[K    100% |████████████████████████████████| 2.8MB 8.4MB/s eta 0:00:01\n",
      "\u001b[?25hCollecting shapely (from geopandas)\n",
      "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/cf/f8/110690b7c44b9418f573e351084c23d33d782f84416bdb179f1b0f9f401c/Shapely-1.6.4.post2-cp36-cp36m-macosx_10_9_x86_64.whl (1.6MB)\n",
      "\u001b[K    100% |████████████████████████████████| 1.6MB 15.2MB/s ta 0:00:01\n",
      "\u001b[?25hRequirement already satisfied: python-dateutil>=2.5.0 in /anaconda3/lib/python3.6/site-packages (from pandas->geopandas) (2.7.3)\n",
      "Requirement already satisfied: pytz>=2011k in /anaconda3/lib/python3.6/site-packages (from pandas->geopandas) (2018.4)\n",
      "Requirement already satisfied: numpy>=1.9.0 in /anaconda3/lib/python3.6/site-packages (from pandas->geopandas) (1.14.3)\n",
      "Collecting click-plugins>=1.0 (from fiona->geopandas)\n",
      "  Downloading https://files.pythonhosted.org/packages/95/dd/fef84cf1678418f241ef542c0288bdf215bdd3e35f1fe03dc5223a2e80ba/click_plugins-1.0.4-py2.py3-none-any.whl\n",
      "Collecting cligj>=0.5 (from fiona->geopandas)\n",
      "  Downloading https://files.pythonhosted.org/packages/e4/be/30a58b4b0733850280d01f8bd132591b4668ed5c7046761098d665ac2174/cligj-0.5.0-py3-none-any.whl\n",
      "Requirement already satisfied: six>=1.7 in /anaconda3/lib/python3.6/site-packages (from fiona->geopandas) (1.11.0)\n",
      "Requirement already satisfied: attrs>=17 in /anaconda3/lib/python3.6/site-packages (from fiona->geopandas) (18.1.0)\n",
      "Collecting munch (from fiona->geopandas)\n",
      "  Downloading https://files.pythonhosted.org/packages/68/f4/260ec98ea840757a0da09e0ed8135333d59b8dfebe9752a365b04857660a/munch-2.3.2.tar.gz\n",
      "Requirement already satisfied: click<8,>=4.0 in /anaconda3/lib/python3.6/site-packages (from fiona->geopandas) (6.7)\n",
      "Building wheels for collected packages: pyproj, munch\n",
      "  Running setup.py bdist_wheel for pyproj ... \u001b[?25ldone\n",
      "\u001b[?25h  Stored in directory: /Users/raz/Library/Caches/pip/wheels/02/cd/b1/a2d6430f74c7a778a43d62f78bec109ca69c732dc9b929142a\n",
      "  Running setup.py bdist_wheel for munch ... \u001b[?25ldone\n",
      "\u001b[?25h  Stored in directory: /Users/raz/Library/Caches/pip/wheels/db/bf/bc/06a3e1bfe0ab27d2e720ceb3cff3159398d92644c0cec2c125\n",
      "Successfully built pyproj munch\n",
      "\u001b[31mdistributed 1.21.8 requires msgpack, which is not installed.\u001b[0m\n",
      "\u001b[31mkeras 2.2.2 has requirement keras_applications==1.0.4, but you'll have keras-applications 1.0.2 which is incompatible.\u001b[0m\n",
      "\u001b[31mkeras 2.2.2 has requirement keras_preprocessing==1.0.2, but you'll have keras-preprocessing 1.0.1 which is incompatible.\u001b[0m\n",
      "Installing collected packages: click-plugins, cligj, munch, fiona, pyproj, shapely, geopandas\n",
      "Successfully installed click-plugins-1.0.4 cligj-0.5.0 fiona-1.8.4 geopandas-0.4.0 munch-2.3.2 pyproj-1.9.6 shapely-1.6.4.post2\n",
      "\u001b[33mCache entry deserialization failed, entry ignored\u001b[0m\n",
      "\u001b[33mYou are using pip version 10.0.1, however version 19.0.2 is available.\n",
      "You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!pip install geopandas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The Descartes Library\n",
    "We also need to install the descartes library. The same rules apply. If you are using Anaconda on your laptop you \n",
    "only need to run this cell exactly once. With Colab you need to execute it each time you open this notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting descartes\n",
      "  Downloading https://files.pythonhosted.org/packages/e5/b6/1ed2eb03989ae574584664985367ba70cd9cf8b32ee8cad0e8aaeac819f3/descartes-1.1.0-py3-none-any.whl\n",
      "Requirement already satisfied: matplotlib in /anaconda3/lib/python3.6/site-packages (from descartes) (2.2.2)\n",
      "Requirement already satisfied: numpy>=1.7.1 in /anaconda3/lib/python3.6/site-packages (from matplotlib->descartes) (1.14.3)\n",
      "Requirement already satisfied: cycler>=0.10 in /anaconda3/lib/python3.6/site-packages (from matplotlib->descartes) (0.10.0)\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /anaconda3/lib/python3.6/site-packages (from matplotlib->descartes) (2.2.0)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in /anaconda3/lib/python3.6/site-packages (from matplotlib->descartes) (2.7.3)\n",
      "Requirement already satisfied: pytz in /anaconda3/lib/python3.6/site-packages (from matplotlib->descartes) (2018.4)\n",
      "Requirement already satisfied: six>=1.10 in /anaconda3/lib/python3.6/site-packages (from matplotlib->descartes) (1.11.0)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /anaconda3/lib/python3.6/site-packages (from matplotlib->descartes) (1.0.1)\n",
      "Requirement already satisfied: setuptools in /anaconda3/lib/python3.6/site-packages (from kiwisolver>=1.0.1->matplotlib->descartes) (39.1.0)\n",
      "\u001b[31mdistributed 1.21.8 requires msgpack, which is not installed.\u001b[0m\n",
      "\u001b[31mkeras 2.2.2 has requirement keras_applications==1.0.4, but you'll have keras-applications 1.0.2 which is incompatible.\u001b[0m\n",
      "\u001b[31mkeras 2.2.2 has requirement keras_preprocessing==1.0.2, but you'll have keras-preprocessing 1.0.1 which is incompatible.\u001b[0m\n",
      "Installing collected packages: descartes\n",
      "Successfully installed descartes-1.1.0\n",
      "\u001b[33mYou are using pip version 10.0.1, however version 19.0.2 is available.\n",
      "You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!pip install descartes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's use the library we installed.\n",
    "\n",
    "First we will load in a dataset of countries and some cities.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import geopandas\n",
    "world = geopandas.read_file(geopandas.datasets.get_path('naturalearth_lowres'))\n",
    "cities = geopandas.read_file(geopandas.datasets.get_path('naturalearth_cities'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating a simple world plot\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10bc96dd8>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "f, ax = plt.subplots(1, figsize=(20,10))\n",
    "world.plot(ax=ax)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That blob on the bottom is Antarctica. Let's delete it (remember that `!=` means *not equal to*:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x118e50a90>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "world2 = world[world.name != 'Antarctica']\n",
    "f, ax = plt.subplots(1, figsize=(15,10))\n",
    "world2.plot(ax=ax)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That is beautiful, but let's see if we can make it informative.\n",
    "\n",
    "### The world Pandas dataframe\n",
    "Let's take a look at the world dataframe:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "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>pop_est</th>\n",
       "      <th>continent</th>\n",
       "      <th>name</th>\n",
       "      <th>iso_a3</th>\n",
       "      <th>gdp_md_est</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>28400000.0</td>\n",
       "      <td>Asia</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>22270.0</td>\n",
       "      <td>POLYGON ((61.21081709172574 35.65007233330923,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12799293.0</td>\n",
       "      <td>Africa</td>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>110300.0</td>\n",
       "      <td>(POLYGON ((16.32652835456705 -5.87747039146621...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3639453.0</td>\n",
       "      <td>Europe</td>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>21810.0</td>\n",
       "      <td>POLYGON ((20.59024743010491 41.85540416113361,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4798491.0</td>\n",
       "      <td>Asia</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>ARE</td>\n",
       "      <td>184300.0</td>\n",
       "      <td>POLYGON ((51.57951867046327 24.24549713795111,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>40913584.0</td>\n",
       "      <td>South America</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>ARG</td>\n",
       "      <td>573900.0</td>\n",
       "      <td>(POLYGON ((-65.50000000000003 -55.199999999999...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      pop_est      continent                  name iso_a3  gdp_md_est  \\\n",
       "0  28400000.0           Asia           Afghanistan    AFG     22270.0   \n",
       "1  12799293.0         Africa                Angola    AGO    110300.0   \n",
       "2   3639453.0         Europe               Albania    ALB     21810.0   \n",
       "3   4798491.0           Asia  United Arab Emirates    ARE    184300.0   \n",
       "4  40913584.0  South America             Argentina    ARG    573900.0   \n",
       "\n",
       "                                            geometry  \n",
       "0  POLYGON ((61.21081709172574 35.65007233330923,...  \n",
       "1  (POLYGON ((16.32652835456705 -5.87747039146621...  \n",
       "2  POLYGON ((20.59024743010491 41.85540416113361,...  \n",
       "3  POLYGON ((51.57951867046327 24.24549713795111,...  \n",
       "4  (POLYGON ((-65.50000000000003 -55.199999999999...  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "world2.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It has a column for estimated population `pop_est`.  Let's see if there are any countries with zero population:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "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>pop_est</th>\n",
       "      <th>continent</th>\n",
       "      <th>name</th>\n",
       "      <th>iso_a3</th>\n",
       "      <th>gdp_md_est</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty GeoDataFrame\n",
       "Columns: [pop_est, continent, name, iso_a3, gdp_md_est, geometry]\n",
       "Index: []"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "world2[world2.pop_est == 0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That makes sense. No country has zero population. Let's do one more sanity check and see if any country has a negative population"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "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>pop_est</th>\n",
       "      <th>continent</th>\n",
       "      <th>name</th>\n",
       "      <th>iso_a3</th>\n",
       "      <th>gdp_md_est</th>\n",
       "      <th>geometry</th>\n",
       "      <th>gdp_per_capita</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>-99.0</td>\n",
       "      <td>Africa</td>\n",
       "      <td>W. Sahara</td>\n",
       "      <td>ESH</td>\n",
       "      <td>-99.0</td>\n",
       "      <td>POLYGON ((-8.794883999049077 27.12069631602251...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     pop_est continent       name iso_a3  gdp_md_est  \\\n",
       "137    -99.0    Africa  W. Sahara    ESH       -99.0   \n",
       "\n",
       "                                              geometry  gdp_per_capita  \n",
       "137  POLYGON ((-8.794883999049077 27.12069631602251...             1.0  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "world2[world2.pop_est < 0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So W. Sahara has a population of -99. That probably means we have no population data for that country. Let's go ahead and delete it from our dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "world3 = world2[world2['name'] != 'W. Sahara']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Great! The `gdp_md_est` column has to do with Gross Domestic Product. Let's color code our map based on GDP per Capita\n",
    "\n",
    "![](https://www.thebalance.com/thmb/KR6vlAcn_Q-YIj0DGf-uyRS7SyA=/400x0/gdp-per-capita-formula-u-s-compared-to-highest-and-lowest-3305848-v2-5b71efd746e0fb004f595b3e.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1199d65f8>"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# first make a gdp_per_capita coluum\n",
    "world3['gdp_per_capita'] = world3.gdp_md_est / world3.pop_est\n",
    "f, ax = plt.subplots(1, figsize=(15,10))\n",
    "world3.plot(column='gdp_per_capita', cmap='OrRd', ax=ax)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Nice!\n",
    "\n",
    "\n",
    "## The Human Freedom Data\n",
    "Now Let's see if we can combine this data with the Human Freedom Dataset. First, let's load that dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "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>year</th>\n",
       "      <th>ISO_code</th>\n",
       "      <th>countries</th>\n",
       "      <th>region</th>\n",
       "      <th>pf_rol_procedural</th>\n",
       "      <th>pf_rol_civil</th>\n",
       "      <th>pf_rol_criminal</th>\n",
       "      <th>pf_rol</th>\n",
       "      <th>pf_ss_homicide</th>\n",
       "      <th>pf_ss_disappearances_disap</th>\n",
       "      <th>...</th>\n",
       "      <th>ef_regulation_business_bribes</th>\n",
       "      <th>ef_regulation_business_licensing</th>\n",
       "      <th>ef_regulation_business_compliance</th>\n",
       "      <th>ef_regulation_business</th>\n",
       "      <th>ef_regulation</th>\n",
       "      <th>ef_score</th>\n",
       "      <th>ef_rank</th>\n",
       "      <th>hf_score</th>\n",
       "      <th>hf_rank</th>\n",
       "      <th>hf_quartile</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016</td>\n",
       "      <td>ALB</td>\n",
       "      <td>Albania</td>\n",
       "      <td>Eastern Europe</td>\n",
       "      <td>6.661503</td>\n",
       "      <td>4.547244</td>\n",
       "      <td>4.666508</td>\n",
       "      <td>5.291752</td>\n",
       "      <td>8.920429</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>4.050196</td>\n",
       "      <td>7.324582</td>\n",
       "      <td>7.074366</td>\n",
       "      <td>6.705863</td>\n",
       "      <td>6.906901</td>\n",
       "      <td>7.54</td>\n",
       "      <td>34.0</td>\n",
       "      <td>7.568140</td>\n",
       "      <td>48.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016</td>\n",
       "      <td>DZA</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>Middle East &amp; North Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.819566</td>\n",
       "      <td>9.456254</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.765515</td>\n",
       "      <td>8.523503</td>\n",
       "      <td>7.029528</td>\n",
       "      <td>5.676956</td>\n",
       "      <td>5.268992</td>\n",
       "      <td>4.99</td>\n",
       "      <td>159.0</td>\n",
       "      <td>5.135886</td>\n",
       "      <td>155.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016</td>\n",
       "      <td>AGO</td>\n",
       "      <td>Angola</td>\n",
       "      <td>Sub-Saharan Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.451814</td>\n",
       "      <td>8.060260</td>\n",
       "      <td>5.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.945540</td>\n",
       "      <td>8.096776</td>\n",
       "      <td>6.782923</td>\n",
       "      <td>4.930271</td>\n",
       "      <td>5.518500</td>\n",
       "      <td>5.17</td>\n",
       "      <td>155.0</td>\n",
       "      <td>5.640662</td>\n",
       "      <td>142.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016</td>\n",
       "      <td>ARG</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Latin America &amp; the Caribbean</td>\n",
       "      <td>7.098483</td>\n",
       "      <td>5.791960</td>\n",
       "      <td>4.343930</td>\n",
       "      <td>5.744791</td>\n",
       "      <td>7.622974</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.260044</td>\n",
       "      <td>5.253411</td>\n",
       "      <td>6.508295</td>\n",
       "      <td>5.535831</td>\n",
       "      <td>5.369019</td>\n",
       "      <td>4.84</td>\n",
       "      <td>160.0</td>\n",
       "      <td>6.469848</td>\n",
       "      <td>107.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016</td>\n",
       "      <td>ARM</td>\n",
       "      <td>Armenia</td>\n",
       "      <td>Caucasus &amp; Central Asia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.003205</td>\n",
       "      <td>8.808750</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>4.575152</td>\n",
       "      <td>9.319612</td>\n",
       "      <td>6.491481</td>\n",
       "      <td>6.797530</td>\n",
       "      <td>7.378069</td>\n",
       "      <td>7.57</td>\n",
       "      <td>29.0</td>\n",
       "      <td>7.241402</td>\n",
       "      <td>57.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 123 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   year ISO_code  countries                         region  pf_rol_procedural  \\\n",
       "0  2016      ALB    Albania                 Eastern Europe           6.661503   \n",
       "1  2016      DZA    Algeria     Middle East & North Africa                NaN   \n",
       "2  2016      AGO     Angola             Sub-Saharan Africa                NaN   \n",
       "3  2016      ARG  Argentina  Latin America & the Caribbean           7.098483   \n",
       "4  2016      ARM    Armenia        Caucasus & Central Asia                NaN   \n",
       "\n",
       "   pf_rol_civil  pf_rol_criminal    pf_rol  pf_ss_homicide  \\\n",
       "0      4.547244         4.666508  5.291752        8.920429   \n",
       "1           NaN              NaN  3.819566        9.456254   \n",
       "2           NaN              NaN  3.451814        8.060260   \n",
       "3      5.791960         4.343930  5.744791        7.622974   \n",
       "4           NaN              NaN  5.003205        8.808750   \n",
       "\n",
       "   pf_ss_disappearances_disap     ...       ef_regulation_business_bribes  \\\n",
       "0                        10.0     ...                            4.050196   \n",
       "1                        10.0     ...                            3.765515   \n",
       "2                         5.0     ...                            1.945540   \n",
       "3                        10.0     ...                            3.260044   \n",
       "4                        10.0     ...                            4.575152   \n",
       "\n",
       "   ef_regulation_business_licensing  ef_regulation_business_compliance  \\\n",
       "0                          7.324582                           7.074366   \n",
       "1                          8.523503                           7.029528   \n",
       "2                          8.096776                           6.782923   \n",
       "3                          5.253411                           6.508295   \n",
       "4                          9.319612                           6.491481   \n",
       "\n",
       "   ef_regulation_business  ef_regulation  ef_score  ef_rank  hf_score  \\\n",
       "0                6.705863       6.906901      7.54     34.0  7.568140   \n",
       "1                5.676956       5.268992      4.99    159.0  5.135886   \n",
       "2                4.930271       5.518500      5.17    155.0  5.640662   \n",
       "3                5.535831       5.369019      4.84    160.0  6.469848   \n",
       "4                6.797530       7.378069      7.57     29.0  7.241402   \n",
       "\n",
       "   hf_rank  hf_quartile  \n",
       "0     48.0          2.0  \n",
       "1    155.0          4.0  \n",
       "2    142.0          4.0  \n",
       "3    107.0          3.0  \n",
       "4     57.0          2.0  \n",
       "\n",
       "[5 rows x 123 columns]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "hf = pd.read_csv('http://zacharski.org/files/courses/data101/hfi_cc_2018.csv')\n",
    "hf.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The human freedom dataset has data for the years 2008-2016. Let's just use the 2016 data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>ISO_code</th>\n",
       "      <th>countries</th>\n",
       "      <th>region</th>\n",
       "      <th>pf_rol_procedural</th>\n",
       "      <th>pf_rol_civil</th>\n",
       "      <th>pf_rol_criminal</th>\n",
       "      <th>pf_rol</th>\n",
       "      <th>pf_ss_homicide</th>\n",
       "      <th>pf_ss_disappearances_disap</th>\n",
       "      <th>...</th>\n",
       "      <th>ef_regulation_business_bribes</th>\n",
       "      <th>ef_regulation_business_licensing</th>\n",
       "      <th>ef_regulation_business_compliance</th>\n",
       "      <th>ef_regulation_business</th>\n",
       "      <th>ef_regulation</th>\n",
       "      <th>ef_score</th>\n",
       "      <th>ef_rank</th>\n",
       "      <th>hf_score</th>\n",
       "      <th>hf_rank</th>\n",
       "      <th>hf_quartile</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016</td>\n",
       "      <td>ALB</td>\n",
       "      <td>Albania</td>\n",
       "      <td>Eastern Europe</td>\n",
       "      <td>6.661503</td>\n",
       "      <td>4.547244</td>\n",
       "      <td>4.666508</td>\n",
       "      <td>5.291752</td>\n",
       "      <td>8.920429</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>4.050196</td>\n",
       "      <td>7.324582</td>\n",
       "      <td>7.074366</td>\n",
       "      <td>6.705863</td>\n",
       "      <td>6.906901</td>\n",
       "      <td>7.54</td>\n",
       "      <td>34.0</td>\n",
       "      <td>7.568140</td>\n",
       "      <td>48.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016</td>\n",
       "      <td>DZA</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>Middle East &amp; North Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.819566</td>\n",
       "      <td>9.456254</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.765515</td>\n",
       "      <td>8.523503</td>\n",
       "      <td>7.029528</td>\n",
       "      <td>5.676956</td>\n",
       "      <td>5.268992</td>\n",
       "      <td>4.99</td>\n",
       "      <td>159.0</td>\n",
       "      <td>5.135886</td>\n",
       "      <td>155.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016</td>\n",
       "      <td>AGO</td>\n",
       "      <td>Angola</td>\n",
       "      <td>Sub-Saharan Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.451814</td>\n",
       "      <td>8.060260</td>\n",
       "      <td>5.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.945540</td>\n",
       "      <td>8.096776</td>\n",
       "      <td>6.782923</td>\n",
       "      <td>4.930271</td>\n",
       "      <td>5.518500</td>\n",
       "      <td>5.17</td>\n",
       "      <td>155.0</td>\n",
       "      <td>5.640662</td>\n",
       "      <td>142.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016</td>\n",
       "      <td>ARG</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Latin America &amp; the Caribbean</td>\n",
       "      <td>7.098483</td>\n",
       "      <td>5.791960</td>\n",
       "      <td>4.343930</td>\n",
       "      <td>5.744791</td>\n",
       "      <td>7.622974</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.260044</td>\n",
       "      <td>5.253411</td>\n",
       "      <td>6.508295</td>\n",
       "      <td>5.535831</td>\n",
       "      <td>5.369019</td>\n",
       "      <td>4.84</td>\n",
       "      <td>160.0</td>\n",
       "      <td>6.469848</td>\n",
       "      <td>107.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016</td>\n",
       "      <td>ARM</td>\n",
       "      <td>Armenia</td>\n",
       "      <td>Caucasus &amp; Central Asia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.003205</td>\n",
       "      <td>8.808750</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>4.575152</td>\n",
       "      <td>9.319612</td>\n",
       "      <td>6.491481</td>\n",
       "      <td>6.797530</td>\n",
       "      <td>7.378069</td>\n",
       "      <td>7.57</td>\n",
       "      <td>29.0</td>\n",
       "      <td>7.241402</td>\n",
       "      <td>57.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 123 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   year ISO_code  countries                         region  pf_rol_procedural  \\\n",
       "0  2016      ALB    Albania                 Eastern Europe           6.661503   \n",
       "1  2016      DZA    Algeria     Middle East & North Africa                NaN   \n",
       "2  2016      AGO     Angola             Sub-Saharan Africa                NaN   \n",
       "3  2016      ARG  Argentina  Latin America & the Caribbean           7.098483   \n",
       "4  2016      ARM    Armenia        Caucasus & Central Asia                NaN   \n",
       "\n",
       "   pf_rol_civil  pf_rol_criminal    pf_rol  pf_ss_homicide  \\\n",
       "0      4.547244         4.666508  5.291752        8.920429   \n",
       "1           NaN              NaN  3.819566        9.456254   \n",
       "2           NaN              NaN  3.451814        8.060260   \n",
       "3      5.791960         4.343930  5.744791        7.622974   \n",
       "4           NaN              NaN  5.003205        8.808750   \n",
       "\n",
       "   pf_ss_disappearances_disap     ...       ef_regulation_business_bribes  \\\n",
       "0                        10.0     ...                            4.050196   \n",
       "1                        10.0     ...                            3.765515   \n",
       "2                         5.0     ...                            1.945540   \n",
       "3                        10.0     ...                            3.260044   \n",
       "4                        10.0     ...                            4.575152   \n",
       "\n",
       "   ef_regulation_business_licensing  ef_regulation_business_compliance  \\\n",
       "0                          7.324582                           7.074366   \n",
       "1                          8.523503                           7.029528   \n",
       "2                          8.096776                           6.782923   \n",
       "3                          5.253411                           6.508295   \n",
       "4                          9.319612                           6.491481   \n",
       "\n",
       "   ef_regulation_business  ef_regulation  ef_score  ef_rank  hf_score  \\\n",
       "0                6.705863       6.906901      7.54     34.0  7.568140   \n",
       "1                5.676956       5.268992      4.99    159.0  5.135886   \n",
       "2                4.930271       5.518500      5.17    155.0  5.640662   \n",
       "3                5.535831       5.369019      4.84    160.0  6.469848   \n",
       "4                6.797530       7.378069      7.57     29.0  7.241402   \n",
       "\n",
       "   hf_rank  hf_quartile  \n",
       "0     48.0          2.0  \n",
       "1    155.0          4.0  \n",
       "2    142.0          4.0  \n",
       "3    107.0          3.0  \n",
       "4     57.0          2.0  \n",
       "\n",
       "[5 rows x 123 columns]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hf2016 = hf[hf['year'] == 2016]\n",
    "hf2016.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### review\n",
    "\n",
    "Let's review the datasets we have:\n",
    "\n",
    "* **world3** The important thing this dataset has is the geometry column which describes how to draw the map.\n",
    "* **hf2016** The human freedom dataset for 2016 which we want to use to display the human freedom score.\n",
    "\n",
    "Somehow, we need to combine these datasets into one. Let's do it step by step:\n",
    "\n",
    "### Step 1 use the ISO codes to index each dataset\n",
    "If we look at the first few entries of each dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\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>pop_est</th>\n",
       "      <th>continent</th>\n",
       "      <th>name</th>\n",
       "      <th>iso_a3</th>\n",
       "      <th>gdp_md_est</th>\n",
       "      <th>geometry</th>\n",
       "      <th>gdp_per_capita</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>28400000.0</td>\n",
       "      <td>Asia</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>22270.0</td>\n",
       "      <td>POLYGON ((61.21081709172574 35.65007233330923,...</td>\n",
       "      <td>0.000784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12799293.0</td>\n",
       "      <td>Africa</td>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>110300.0</td>\n",
       "      <td>(POLYGON ((16.32652835456705 -5.87747039146621...</td>\n",
       "      <td>0.008618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3639453.0</td>\n",
       "      <td>Europe</td>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>21810.0</td>\n",
       "      <td>POLYGON ((20.59024743010491 41.85540416113361,...</td>\n",
       "      <td>0.005993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4798491.0</td>\n",
       "      <td>Asia</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>ARE</td>\n",
       "      <td>184300.0</td>\n",
       "      <td>POLYGON ((51.57951867046327 24.24549713795111,...</td>\n",
       "      <td>0.038408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>40913584.0</td>\n",
       "      <td>South America</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>ARG</td>\n",
       "      <td>573900.0</td>\n",
       "      <td>(POLYGON ((-65.50000000000003 -55.199999999999...</td>\n",
       "      <td>0.014027</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      pop_est      continent                  name iso_a3  gdp_md_est  \\\n",
       "0  28400000.0           Asia           Afghanistan    AFG     22270.0   \n",
       "1  12799293.0         Africa                Angola    AGO    110300.0   \n",
       "2   3639453.0         Europe               Albania    ALB     21810.0   \n",
       "3   4798491.0           Asia  United Arab Emirates    ARE    184300.0   \n",
       "4  40913584.0  South America             Argentina    ARG    573900.0   \n",
       "\n",
       "                                            geometry  gdp_per_capita  \n",
       "0  POLYGON ((61.21081709172574 35.65007233330923,...        0.000784  \n",
       "1  (POLYGON ((16.32652835456705 -5.87747039146621...        0.008618  \n",
       "2  POLYGON ((20.59024743010491 41.85540416113361,...        0.005993  \n",
       "3  POLYGON ((51.57951867046327 24.24549713795111,...        0.038408  \n",
       "4  (POLYGON ((-65.50000000000003 -55.199999999999...        0.014027  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "world3.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>ISO_code</th>\n",
       "      <th>countries</th>\n",
       "      <th>region</th>\n",
       "      <th>pf_rol_procedural</th>\n",
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       "      <th>pf_ss_homicide</th>\n",
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       "      <th>...</th>\n",
       "      <th>ef_regulation_business_bribes</th>\n",
       "      <th>ef_regulation_business_licensing</th>\n",
       "      <th>ef_regulation_business_compliance</th>\n",
       "      <th>ef_regulation_business</th>\n",
       "      <th>ef_regulation</th>\n",
       "      <th>ef_score</th>\n",
       "      <th>ef_rank</th>\n",
       "      <th>hf_score</th>\n",
       "      <th>hf_rank</th>\n",
       "      <th>hf_quartile</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016</td>\n",
       "      <td>ALB</td>\n",
       "      <td>Albania</td>\n",
       "      <td>Eastern Europe</td>\n",
       "      <td>6.661503</td>\n",
       "      <td>4.547244</td>\n",
       "      <td>4.666508</td>\n",
       "      <td>5.291752</td>\n",
       "      <td>8.920429</td>\n",
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       "      <td>...</td>\n",
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       "      <td>34.0</td>\n",
       "      <td>7.568140</td>\n",
       "      <td>48.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016</td>\n",
       "      <td>DZA</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>Middle East &amp; North Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.819566</td>\n",
       "      <td>9.456254</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.765515</td>\n",
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       "      <td>155.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016</td>\n",
       "      <td>AGO</td>\n",
       "      <td>Angola</td>\n",
       "      <td>Sub-Saharan Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.451814</td>\n",
       "      <td>8.060260</td>\n",
       "      <td>5.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.945540</td>\n",
       "      <td>8.096776</td>\n",
       "      <td>6.782923</td>\n",
       "      <td>4.930271</td>\n",
       "      <td>5.518500</td>\n",
       "      <td>5.17</td>\n",
       "      <td>155.0</td>\n",
       "      <td>5.640662</td>\n",
       "      <td>142.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016</td>\n",
       "      <td>ARG</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Latin America &amp; the Caribbean</td>\n",
       "      <td>7.098483</td>\n",
       "      <td>5.791960</td>\n",
       "      <td>4.343930</td>\n",
       "      <td>5.744791</td>\n",
       "      <td>7.622974</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.260044</td>\n",
       "      <td>5.253411</td>\n",
       "      <td>6.508295</td>\n",
       "      <td>5.535831</td>\n",
       "      <td>5.369019</td>\n",
       "      <td>4.84</td>\n",
       "      <td>160.0</td>\n",
       "      <td>6.469848</td>\n",
       "      <td>107.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016</td>\n",
       "      <td>ARM</td>\n",
       "      <td>Armenia</td>\n",
       "      <td>Caucasus &amp; Central Asia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.003205</td>\n",
       "      <td>8.808750</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>4.575152</td>\n",
       "      <td>9.319612</td>\n",
       "      <td>6.491481</td>\n",
       "      <td>6.797530</td>\n",
       "      <td>7.378069</td>\n",
       "      <td>7.57</td>\n",
       "      <td>29.0</td>\n",
       "      <td>7.241402</td>\n",
       "      <td>57.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 123 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   year ISO_code  countries                         region  pf_rol_procedural  \\\n",
       "0  2016      ALB    Albania                 Eastern Europe           6.661503   \n",
       "1  2016      DZA    Algeria     Middle East & North Africa                NaN   \n",
       "2  2016      AGO     Angola             Sub-Saharan Africa                NaN   \n",
       "3  2016      ARG  Argentina  Latin America & the Caribbean           7.098483   \n",
       "4  2016      ARM    Armenia        Caucasus & Central Asia                NaN   \n",
       "\n",
       "   pf_rol_civil  pf_rol_criminal    pf_rol  pf_ss_homicide  \\\n",
       "0      4.547244         4.666508  5.291752        8.920429   \n",
       "1           NaN              NaN  3.819566        9.456254   \n",
       "2           NaN              NaN  3.451814        8.060260   \n",
       "3      5.791960         4.343930  5.744791        7.622974   \n",
       "4           NaN              NaN  5.003205        8.808750   \n",
       "\n",
       "   pf_ss_disappearances_disap     ...       ef_regulation_business_bribes  \\\n",
       "0                        10.0     ...                            4.050196   \n",
       "1                        10.0     ...                            3.765515   \n",
       "2                         5.0     ...                            1.945540   \n",
       "3                        10.0     ...                            3.260044   \n",
       "4                        10.0     ...                            4.575152   \n",
       "\n",
       "   ef_regulation_business_licensing  ef_regulation_business_compliance  \\\n",
       "0                          7.324582                           7.074366   \n",
       "1                          8.523503                           7.029528   \n",
       "2                          8.096776                           6.782923   \n",
       "3                          5.253411                           6.508295   \n",
       "4                          9.319612                           6.491481   \n",
       "\n",
       "   ef_regulation_business  ef_regulation  ef_score  ef_rank  hf_score  \\\n",
       "0                6.705863       6.906901      7.54     34.0  7.568140   \n",
       "1                5.676956       5.268992      4.99    159.0  5.135886   \n",
       "2                4.930271       5.518500      5.17    155.0  5.640662   \n",
       "3                5.535831       5.369019      4.84    160.0  6.469848   \n",
       "4                6.797530       7.378069      7.57     29.0  7.241402   \n",
       "\n",
       "   hf_rank  hf_quartile  \n",
       "0     48.0          2.0  \n",
       "1    155.0          4.0  \n",
       "2    142.0          4.0  \n",
       "3    107.0          3.0  \n",
       "4     57.0          2.0  \n",
       "\n",
       "[5 rows x 123 columns]"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hf2016.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that each has a column for the three character code for a country. For example, ALB is Albania, ARG is Argentina and so on. We are going to set the index for each of these datasets to that column:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>countries</th>\n",
       "      <th>region</th>\n",
       "      <th>pf_rol_procedural</th>\n",
       "      <th>pf_rol_civil</th>\n",
       "      <th>pf_rol_criminal</th>\n",
       "      <th>pf_rol</th>\n",
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       "      <th>pf_ss_disappearances_disap</th>\n",
       "      <th>pf_ss_disappearances_violent</th>\n",
       "      <th>...</th>\n",
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       "      <th>ef_score</th>\n",
       "      <th>ef_rank</th>\n",
       "      <th>hf_score</th>\n",
       "      <th>hf_rank</th>\n",
       "      <th>hf_quartile</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ISO_code</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ALB</th>\n",
       "      <td>2016</td>\n",
       "      <td>Albania</td>\n",
       "      <td>Eastern Europe</td>\n",
       "      <td>6.661503</td>\n",
       "      <td>4.547244</td>\n",
       "      <td>4.666508</td>\n",
       "      <td>5.291752</td>\n",
       "      <td>8.920429</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.00000</td>\n",
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       "      <td>6.906901</td>\n",
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       "      <td>34.0</td>\n",
       "      <td>7.568140</td>\n",
       "      <td>48.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DZA</th>\n",
       "      <td>2016</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>Middle East &amp; North Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>10.0</td>\n",
       "      <td>9.29403</td>\n",
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       "      <td>5.676956</td>\n",
       "      <td>5.268992</td>\n",
       "      <td>4.99</td>\n",
       "      <td>159.0</td>\n",
       "      <td>5.135886</td>\n",
       "      <td>155.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AGO</th>\n",
       "      <td>2016</td>\n",
       "      <td>Angola</td>\n",
       "      <td>Sub-Saharan Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.451814</td>\n",
       "      <td>8.060260</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.945540</td>\n",
       "      <td>8.096776</td>\n",
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       "      <td>5.17</td>\n",
       "      <td>155.0</td>\n",
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       "      <td>142.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ARG</th>\n",
       "      <td>2016</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Latin America &amp; the Caribbean</td>\n",
       "      <td>7.098483</td>\n",
       "      <td>5.791960</td>\n",
       "      <td>4.343930</td>\n",
       "      <td>5.744791</td>\n",
       "      <td>7.622974</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.00000</td>\n",
       "      <td>...</td>\n",
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       "      <td>5.535831</td>\n",
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       "      <td>160.0</td>\n",
       "      <td>6.469848</td>\n",
       "      <td>107.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ARM</th>\n",
       "      <td>2016</td>\n",
       "      <td>Armenia</td>\n",
       "      <td>Caucasus &amp; Central Asia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>10.0</td>\n",
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       "      <td>6.491481</td>\n",
       "      <td>6.797530</td>\n",
       "      <td>7.378069</td>\n",
       "      <td>7.57</td>\n",
       "      <td>29.0</td>\n",
       "      <td>7.241402</td>\n",
       "      <td>57.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 122 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          year  countries                         region  pf_rol_procedural  \\\n",
       "ISO_code                                                                      \n",
       "ALB       2016    Albania                 Eastern Europe           6.661503   \n",
       "DZA       2016    Algeria     Middle East & North Africa                NaN   \n",
       "AGO       2016     Angola             Sub-Saharan Africa                NaN   \n",
       "ARG       2016  Argentina  Latin America & the Caribbean           7.098483   \n",
       "ARM       2016    Armenia        Caucasus & Central Asia                NaN   \n",
       "\n",
       "          pf_rol_civil  pf_rol_criminal    pf_rol  pf_ss_homicide  \\\n",
       "ISO_code                                                            \n",
       "ALB           4.547244         4.666508  5.291752        8.920429   \n",
       "DZA                NaN              NaN  3.819566        9.456254   \n",
       "AGO                NaN              NaN  3.451814        8.060260   \n",
       "ARG           5.791960         4.343930  5.744791        7.622974   \n",
       "ARM                NaN              NaN  5.003205        8.808750   \n",
       "\n",
       "          pf_ss_disappearances_disap  pf_ss_disappearances_violent  \\\n",
       "ISO_code                                                             \n",
       "ALB                             10.0                      10.00000   \n",
       "DZA                             10.0                       9.29403   \n",
       "AGO                              5.0                      10.00000   \n",
       "ARG                             10.0                      10.00000   \n",
       "ARM                             10.0                      10.00000   \n",
       "\n",
       "             ...       ef_regulation_business_bribes  \\\n",
       "ISO_code     ...                                       \n",
       "ALB          ...                            4.050196   \n",
       "DZA          ...                            3.765515   \n",
       "AGO          ...                            1.945540   \n",
       "ARG          ...                            3.260044   \n",
       "ARM          ...                            4.575152   \n",
       "\n",
       "          ef_regulation_business_licensing  ef_regulation_business_compliance  \\\n",
       "ISO_code                                                                        \n",
       "ALB                               7.324582                           7.074366   \n",
       "DZA                               8.523503                           7.029528   \n",
       "AGO                               8.096776                           6.782923   \n",
       "ARG                               5.253411                           6.508295   \n",
       "ARM                               9.319612                           6.491481   \n",
       "\n",
       "          ef_regulation_business  ef_regulation  ef_score  ef_rank  hf_score  \\\n",
       "ISO_code                                                                       \n",
       "ALB                     6.705863       6.906901      7.54     34.0  7.568140   \n",
       "DZA                     5.676956       5.268992      4.99    159.0  5.135886   \n",
       "AGO                     4.930271       5.518500      5.17    155.0  5.640662   \n",
       "ARG                     5.535831       5.369019      4.84    160.0  6.469848   \n",
       "ARM                     6.797530       7.378069      7.57     29.0  7.241402   \n",
       "\n",
       "          hf_rank  hf_quartile  \n",
       "ISO_code                        \n",
       "ALB          48.0          2.0  \n",
       "DZA         155.0          4.0  \n",
       "AGO         142.0          4.0  \n",
       "ARG         107.0          3.0  \n",
       "ARM          57.0          2.0  \n",
       "\n",
       "[5 rows x 122 columns]"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hf2016.set_index('ISO_code', inplace=True)\n",
    "hf2016.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .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>pop_est</th>\n",
       "      <th>continent</th>\n",
       "      <th>name</th>\n",
       "      <th>gdp_md_est</th>\n",
       "      <th>geometry</th>\n",
       "      <th>gdp_per_capita</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>iso_a3</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AFG</th>\n",
       "      <td>28400000.0</td>\n",
       "      <td>Asia</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>22270.0</td>\n",
       "      <td>POLYGON ((61.21081709172574 35.65007233330923,...</td>\n",
       "      <td>0.000784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AGO</th>\n",
       "      <td>12799293.0</td>\n",
       "      <td>Africa</td>\n",
       "      <td>Angola</td>\n",
       "      <td>110300.0</td>\n",
       "      <td>(POLYGON ((16.32652835456705 -5.87747039146621...</td>\n",
       "      <td>0.008618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ALB</th>\n",
       "      <td>3639453.0</td>\n",
       "      <td>Europe</td>\n",
       "      <td>Albania</td>\n",
       "      <td>21810.0</td>\n",
       "      <td>POLYGON ((20.59024743010491 41.85540416113361,...</td>\n",
       "      <td>0.005993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ARE</th>\n",
       "      <td>4798491.0</td>\n",
       "      <td>Asia</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>184300.0</td>\n",
       "      <td>POLYGON ((51.57951867046327 24.24549713795111,...</td>\n",
       "      <td>0.038408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ARG</th>\n",
       "      <td>40913584.0</td>\n",
       "      <td>South America</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>573900.0</td>\n",
       "      <td>(POLYGON ((-65.50000000000003 -55.199999999999...</td>\n",
       "      <td>0.014027</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           pop_est      continent                  name  gdp_md_est  \\\n",
       "iso_a3                                                                \n",
       "AFG     28400000.0           Asia           Afghanistan     22270.0   \n",
       "AGO     12799293.0         Africa                Angola    110300.0   \n",
       "ALB      3639453.0         Europe               Albania     21810.0   \n",
       "ARE      4798491.0           Asia  United Arab Emirates    184300.0   \n",
       "ARG     40913584.0  South America             Argentina    573900.0   \n",
       "\n",
       "                                                 geometry  gdp_per_capita  \n",
       "iso_a3                                                                     \n",
       "AFG     POLYGON ((61.21081709172574 35.65007233330923,...        0.000784  \n",
       "AGO     (POLYGON ((16.32652835456705 -5.87747039146621...        0.008618  \n",
       "ALB     POLYGON ((20.59024743010491 41.85540416113361,...        0.005993  \n",
       "ARE     POLYGON ((51.57951867046327 24.24549713795111,...        0.038408  \n",
       "ARG     (POLYGON ((-65.50000000000003 -55.199999999999...        0.014027  "
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "world3.set_index('iso_a3', inplace=True)\n",
    "world3.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 2 Decide on which columns to join\n",
    "Let's say we are interested in displaying the human freedom score (`hf_score`) and the economic freedom score (`ef_score`). Let's create a dataframe with just these columns.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "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>hf_score</th>\n",
       "      <th>ef_score</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ISO_code</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ALB</th>\n",
       "      <td>7.568140</td>\n",
       "      <td>7.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DZA</th>\n",
       "      <td>5.135886</td>\n",
       "      <td>4.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AGO</th>\n",
       "      <td>5.640662</td>\n",
       "      <td>5.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ARG</th>\n",
       "      <td>6.469848</td>\n",
       "      <td>4.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ARM</th>\n",
       "      <td>7.241402</td>\n",
       "      <td>7.57</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          hf_score  ef_score\n",
       "ISO_code                    \n",
       "ALB       7.568140      7.54\n",
       "DZA       5.135886      4.99\n",
       "AGO       5.640662      5.17\n",
       "ARG       6.469848      4.84\n",
       "ARM       7.241402      7.57"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hf_ef = hf2016[['hf_score', 'ef_score']]\n",
    "hf_ef.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 3 Join the DataFrames\n",
    "Let's join this `hf_ef` dataframe with the `world3` one."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pop_est</th>\n",
       "      <th>continent</th>\n",
       "      <th>name</th>\n",
       "      <th>gdp_md_est</th>\n",
       "      <th>geometry</th>\n",
       "      <th>gdp_per_capita</th>\n",
       "      <th>hf_score</th>\n",
       "      <th>ef_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>-99</th>\n",
       "      <td>265100.0</td>\n",
       "      <td>Asia</td>\n",
       "      <td>N. Cyprus</td>\n",
       "      <td>3600.0</td>\n",
       "      <td>POLYGON ((32.73178022637745 35.14002594658844,...</td>\n",
       "      <td>0.013580</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>-99</th>\n",
       "      <td>1804838.0</td>\n",
       "      <td>Europe</td>\n",
       "      <td>Kosovo</td>\n",
       "      <td>5352.0</td>\n",
       "      <td>POLYGON ((20.76215999999999 42.05186000000003,...</td>\n",
       "      <td>0.002965</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>-99</th>\n",
       "      <td>3500000.0</td>\n",
       "      <td>Africa</td>\n",
       "      <td>Somaliland</td>\n",
       "      <td>12250.0</td>\n",
       "      <td>POLYGON ((48.93812951029651 9.451748968946674,...</td>\n",
       "      <td>0.003500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AFG</th>\n",
       "      <td>28400000.0</td>\n",
       "      <td>Asia</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>22270.0</td>\n",
       "      <td>POLYGON ((61.21081709172574 35.65007233330923,...</td>\n",
       "      <td>0.000784</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AGO</th>\n",
       "      <td>12799293.0</td>\n",
       "      <td>Africa</td>\n",
       "      <td>Angola</td>\n",
       "      <td>110300.0</td>\n",
       "      <td>(POLYGON ((16.32652835456705 -5.87747039146621...</td>\n",
       "      <td>0.008618</td>\n",
       "      <td>5.640662</td>\n",
       "      <td>5.17</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        pop_est continent         name  gdp_md_est  \\\n",
       "-99    265100.0      Asia    N. Cyprus      3600.0   \n",
       "-99   1804838.0    Europe       Kosovo      5352.0   \n",
       "-99   3500000.0    Africa   Somaliland     12250.0   \n",
       "AFG  28400000.0      Asia  Afghanistan     22270.0   \n",
       "AGO  12799293.0    Africa       Angola    110300.0   \n",
       "\n",
       "                                              geometry  gdp_per_capita  \\\n",
       "-99  POLYGON ((32.73178022637745 35.14002594658844,...        0.013580   \n",
       "-99  POLYGON ((20.76215999999999 42.05186000000003,...        0.002965   \n",
       "-99  POLYGON ((48.93812951029651 9.451748968946674,...        0.003500   \n",
       "AFG  POLYGON ((61.21081709172574 35.65007233330923,...        0.000784   \n",
       "AGO  (POLYGON ((16.32652835456705 -5.87747039146621...        0.008618   \n",
       "\n",
       "     hf_score  ef_score  \n",
       "-99       NaN       NaN  \n",
       "-99       NaN       NaN  \n",
       "-99       NaN       NaN  \n",
       "AFG       NaN       NaN  \n",
       "AGO  5.640662      5.17  "
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined = world3.join(hf_ef)\n",
    "combined.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 4 Clean things up\n",
    "\n",
    "We see that some countries have `NaN` for their `hf_score` or `ef_score`. `NaN` stands for **not a number**. This is caused by the Human Freedom dataset not having data for some of the countries in the world3 dataset. Let's delete all the rows that contain `NaN`\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [],
   "source": [
    "combined.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 5 Display the Human Freedom Information\n",
    "\n",
    "Finally we can make our color-coded map\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11de3e2b0>"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(1, figsize=(15,10))\n",
    "plt.title(\"Human Freedom\", fontsize=20)\n",
    "combined.plot(column='hf_score', cmap='OrRd', ax=ax)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# You try.\n",
    "\n",
    "## 1. Simple task\n",
    "Can you create a choropleth map showing the economic freedom of countries of the world? Use a different color than the one above. ([Here is a description of all the color choices](https://matplotlib.org/users/colormaps.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Harder task\n",
    "\n",
    "Let's work with some state data. Download the file [gz_2010_us_040_00_5m.zip](http://eric.clst.org/assets/wiki/uploads/Stuff/gz_2010_us_040_00_5m.zip) and unzip it.\n",
    "\n",
    "Next, let's read the file and display the United States (you will need to change the file location to match your laptop)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11d9e5438>"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "us = geopandas.read_file(\"/Users/raz/Downloads/gz_2010_us_040_00_5m/gz_2010_us_040_00_5m.shp\")\n",
    "f, ax = plt.subplots(1, figsize=(15,10))\n",
    "us.plot(ax=ax)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That doesn't look so good. The United States is tiny and off to the left. This is because of Alaska, Hawaii and Puerto Rico. Let's get rid of these and try again."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "## TODO\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(1, figsize=(15,10))\n",
    "us.plot(ax=ax)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That looks great.\n",
    "\n",
    "## Poverty in the US\n",
    "\n",
    "We have some data on poverty in the US here: [http://zacharski.org/files/courses/data101/poverty.csv](http://zacharski.org/files/courses/data101/poverty.csv)\n",
    "\n",
    "Can you display a choropleth map showing poverty in the US.\n",
    "\n",
    "### NOTE: More XP will be given if your map has colors that best illustrate poverty.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Task 3. \n",
    "\n",
    "Can you create a Choropleth map illustrating some data you find?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}