waffle.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.5/site-packages/matplotlib/__init__.py:872: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.\n",
      "  warnings.warn(self.msg_depr % (key, alt_key))\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "import re\n",
    "import json"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Gapminder World Data set\n",
    "\n",
    "\n",
    "\n",
    "## Source files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 337,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# indicator name and their hash names. The hashs are used as file name in \n",
    "# indicator json folder waffle-server-importers-exporters-world-legacy-with-data/data/out/gw/indicators/\n",
    "idt = pd.read_json('./source/quantities.json')\n",
    "\n",
    "# groupings, there are 5 ways of grouping of countries in the data set.\n",
    "gps = pd.read_json('./source/area_categorizarion.json')\n",
    "\n",
    "# Country properities\n",
    "geo = pd.read_excel('./source/country_synonyms.xlsx')\n",
    "\n",
    "# Region properities\n",
    "reg_f = open('./source/regions.json')\n",
    "regs = json.load(reg_f)\n",
    "\n",
    "# indicator properities\n",
    "concepts = pd.read_csv('./source/graph_settings - Indicators.csv')\n",
    "\n",
    "# old en.json, to be updated\n",
    "enj = json.load(open('./source/en.json'))\n",
    "\n",
    "# dont-panic-poverty data points\n",
    "dpp = pd.read_csv('./source/dont-panic-poverty.csv')\n",
    "\n",
    "# discrete concept list from systema_globalis. \n",
    "# we only use this file to get the world_4region concept\n",
    "sgdc = pd.read_csv('./source/ddf--concepts--discrete.csv')\n",
    "\n",
    "# country properities from systema_globalis\n",
    "geo_sg = pd.read_csv('./source/ddf--entities--geo--country.csv')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## helper function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def to_concept_id(s, sub='[/ -\\.\\*\";]+', sep='_'):\n",
    "    '''convert a string to lowercase alphanumeric + underscore id for concepts'''\n",
    "    \n",
    "    if s is np.nan:\n",
    "        return s\n",
    "    \n",
    "    s1 = re.sub(sub, sep, s.strip())\n",
    "#     s1 = re.sub(r'\\[.*\\]', '', s1)\n",
    "    s1 = s1.replace('\\n', '')\n",
    "\n",
    "    if s1[-1] == sep:  # remove the last underscore\n",
    "        s1 = s1[:-1]\n",
    "\n",
    "    return s1.lower()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def rename_col(s):\n",
    "    '''map concept name to concept id'''\n",
    "    real = idt[idt['-t-ind'] == s]['-t-name'].iloc[0]\n",
    "    cid = concepts[concepts['name'] == real]['concept'].iloc[0]\n",
    "#     print(real, ': ', cid)\n",
    "    \n",
    "    return cid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def rename_geo(s):\n",
    "    \"\"\"map gwid to iso code\"\"\"\n",
    "    return geo_.get_value(s, 'ISO3dig_ext')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def to_dict_dropna(data):\n",
    "  return dict((k, v.dropna().to_dict()) for k, v in data.iterrows())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Entities of country gourps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "regd = {}  # a dictionary, which keys are region id and values are region names\n",
    "\n",
    "for i in regs:\n",
    "    regd[i.get(list(i.keys())[0])] = list(i.keys())[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "for i, n in gps.n.apply(to_concept_id).iteritems():\n",
    "    df = pd.DataFrame([], columns=[n, 'name', n+'_id', 'is--'+n])\n",
    "    df[n+'_id'] = gps.iloc[i]['groupings'].keys()\n",
    "    if i == 4:\n",
    "        df[n] = df[n+'_id'].apply(lambda x: to_concept_id(regd[x], sub='[/ -\\.\\*\";\\[\\]]+', sep=''))\n",
    "    else:\n",
    "        df[n] = df[n+'_id'].apply(lambda x: to_concept_id(regd[x], sub='[/ -\\.\\*\";\\[\\]]+'))\n",
    "\n",
    "    df['name'] = df[n+'_id'].apply(lambda x: regd[x])\n",
    "    df['is--'+n] = 'TRUE'\n",
    "\n",
    "    df.to_csv('./output/ddf/ddf--entities--geo--'+n+'.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Entities of Country"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "geo_ = geo[['ISO3dig_ext', 'Gwid']]\n",
    "geo_ = geo_.set_index('Gwid')\n",
    "geo_2 = geo.set_index('Gwid').drop('ISO3dig_ext', axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "country = geo_.copy()\n",
    "\n",
    "for i, n in gps.n.apply(to_concept_id).iteritems():\n",
    "\n",
    "    res = {}\n",
    "\n",
    "    for k, v in gps.iloc[i]['groupings'].items():\n",
    "    #     print(regd[k])\n",
    "        for c in v:\n",
    "            if c:\n",
    "#                 if c == 'i144':\n",
    "#                     print(k, regd[k])\n",
    "                if i == 4:\n",
    "                    res[c] = to_concept_id(regd[k], sub='[/ -\\.\\*\";\\[\\]]+', sep='')\n",
    "                else:\n",
    "                    res[c] = to_concept_id(regd[k], sub='[/ -\\.\\*\";\\[\\]]+')\n",
    "\n",
    "    ser = pd.Series(res)\n",
    "    \n",
    "    country[n] = ser"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 533,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Use Name</th>\n",
       "      <th>Gapminder list</th>\n",
       "      <th>Alternative 1</th>\n",
       "      <th>Alternative 2</th>\n",
       "      <th>Alternative 3</th>\n",
       "      <th>Alternative 4 (CDIAC)</th>\n",
       "      <th>pandg</th>\n",
       "      <th>GOD_ID</th>\n",
       "      <th>ISO3dig_ext</th>\n",
       "      <th>ALT 5</th>\n",
       "      <th>NAME</th>\n",
       "      <th>CODE</th>\n",
       "      <th>Number</th>\n",
       "      <th>Gwid</th>\n",
       "      <th>arb1</th>\n",
       "      <th>arb2</th>\n",
       "      <th>arb3</th>\n",
       "      <th>arb4</th>\n",
       "      <th>arb5</th>\n",
       "      <th>arb6</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Abkhazia</td>\n",
       "      <td>Abkhazia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GE-AB</td>\n",
       "      <td>_abk</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>i0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>Islamic Republic of Afghanistan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFGHANISTAN</td>\n",
       "      <td>AF</td>\n",
       "      <td>afg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AFGHANISTAN</td>\n",
       "      <td>AFG</td>\n",
       "      <td>4</td>\n",
       "      <td>i1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Akrotiri and Dhekelia</td>\n",
       "      <td>Akrotiri and Dhekelia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Akrotiri_Dhekelia</td>\n",
       "      <td>_akr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>i2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>Albania</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Albania</td>\n",
       "      <td>ALBANIA</td>\n",
       "      <td>AL</td>\n",
       "      <td>alb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ALBANIA</td>\n",
       "      <td>ALB</td>\n",
       "      <td>8</td>\n",
       "      <td>i3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Algeria</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>ALGERIA</td>\n",
       "      <td>DZ</td>\n",
       "      <td>dza</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ALGERIA</td>\n",
       "      <td>DZA</td>\n",
       "      <td>12</td>\n",
       "      <td>i4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>American Samoa</td>\n",
       "      <td>American Samoa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AS</td>\n",
       "      <td>asm</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AMERICAN SAMOA</td>\n",
       "      <td>ASM</td>\n",
       "      <td>16</td>\n",
       "      <td>i5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AD</td>\n",
       "      <td>and</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ANDORRA</td>\n",
       "      <td>AND</td>\n",
       "      <td>20</td>\n",
       "      <td>i6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Angola</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Angola</td>\n",
       "      <td>ANGOLA</td>\n",
       "      <td>AO</td>\n",
       "      <td>ago</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ANGOLA</td>\n",
       "      <td>AGO</td>\n",
       "      <td>24</td>\n",
       "      <td>i7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Anguilla</td>\n",
       "      <td>Anguilla</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AI</td>\n",
       "      <td>aia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ANGUILLA</td>\n",
       "      <td>AIA</td>\n",
       "      <td>660</td>\n",
       "      <td>i8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Antigua and Barbuda</td>\n",
       "      <td>Antigua and Barbuda</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Antigua &amp; Barbuda</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AG</td>\n",
       "      <td>atg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ANTIGUA AND BARBUDA</td>\n",
       "      <td>ATG</td>\n",
       "      <td>28</td>\n",
       "      <td>i9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Argentina</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>ARGENTINA</td>\n",
       "      <td>AR</td>\n",
       "      <td>arg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ARGENTINA</td>\n",
       "      <td>ARG</td>\n",
       "      <td>32</td>\n",
       "      <td>i10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Armenia</td>\n",
       "      <td>Armenia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Armenia</td>\n",
       "      <td>ARMENIA</td>\n",
       "      <td>AM</td>\n",
       "      <td>arm</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ARMENIA</td>\n",
       "      <td>ARM</td>\n",
       "      <td>51</td>\n",
       "      <td>i11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>Aruba</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Aruba</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AW</td>\n",
       "      <td>abw</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ARUBA</td>\n",
       "      <td>ABW</td>\n",
       "      <td>533</td>\n",
       "      <td>i12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Australia</td>\n",
       "      <td>Australia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Australia</td>\n",
       "      <td>AUSTRALIA</td>\n",
       "      <td>AU</td>\n",
       "      <td>aus</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AUSTRALIA</td>\n",
       "      <td>AUS</td>\n",
       "      <td>36</td>\n",
       "      <td>i13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Austria</td>\n",
       "      <td>Austria</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Austria</td>\n",
       "      <td>AUSTRIA</td>\n",
       "      <td>AT</td>\n",
       "      <td>aut</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AUSTRIA</td>\n",
       "      <td>AUT</td>\n",
       "      <td>40</td>\n",
       "      <td>i14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Azerbaijan</td>\n",
       "      <td>Azerbaijan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Azerbaijan</td>\n",
       "      <td>AZERBAIJAN</td>\n",
       "      <td>AZ</td>\n",
       "      <td>aze</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AZERBAIJAN</td>\n",
       "      <td>AZE</td>\n",
       "      <td>31</td>\n",
       "      <td>i15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Bahamas</td>\n",
       "      <td>Bahamas</td>\n",
       "      <td>Bahamas, The</td>\n",
       "      <td>The Bahamas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bahamas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BS</td>\n",
       "      <td>bhs</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BAHAMAS</td>\n",
       "      <td>BHS</td>\n",
       "      <td>44</td>\n",
       "      <td>i16</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Bahrain</td>\n",
       "      <td>Bahrain</td>\n",
       "      <td>Bahrein</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bahrain</td>\n",
       "      <td>BAHRAIN</td>\n",
       "      <td>BH</td>\n",
       "      <td>bhr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BAHRAIN</td>\n",
       "      <td>BHR</td>\n",
       "      <td>48</td>\n",
       "      <td>i17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Bangladesh</td>\n",
       "      <td>Bangladesh</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bangladesh</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BD</td>\n",
       "      <td>bgd</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BANGLADESH</td>\n",
       "      <td>BGD</td>\n",
       "      <td>50</td>\n",
       "      <td>i18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Barbados</td>\n",
       "      <td>Barbados</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Barbados</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BB</td>\n",
       "      <td>brb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BARBADOS</td>\n",
       "      <td>BRB</td>\n",
       "      <td>52</td>\n",
       "      <td>i19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Belarus</td>\n",
       "      <td>Belarus</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Belarus</td>\n",
       "      <td>BELARUS</td>\n",
       "      <td>BY</td>\n",
       "      <td>blr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BELARUS</td>\n",
       "      <td>BLR</td>\n",
       "      <td>112</td>\n",
       "      <td>i20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>Belgium</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Belgium</td>\n",
       "      <td>BELGIUM</td>\n",
       "      <td>BE</td>\n",
       "      <td>bel</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BELGIUM</td>\n",
       "      <td>BEL</td>\n",
       "      <td>56</td>\n",
       "      <td>i21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Belize</td>\n",
       "      <td>Belize</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Belize</td>\n",
       "      <td>BELIZE</td>\n",
       "      <td>BZ</td>\n",
       "      <td>blz</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BELIZE</td>\n",
       "      <td>BLZ</td>\n",
       "      <td>84</td>\n",
       "      <td>i22</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Benin</td>\n",
       "      <td>Benin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Benin</td>\n",
       "      <td>BENIN</td>\n",
       "      <td>BJ</td>\n",
       "      <td>ben</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BENIN</td>\n",
       "      <td>BEN</td>\n",
       "      <td>204</td>\n",
       "      <td>i23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Bermuda</td>\n",
       "      <td>Bermuda</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bermuda</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BM</td>\n",
       "      <td>bmu</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BERMUDA</td>\n",
       "      <td>BMU</td>\n",
       "      <td>60</td>\n",
       "      <td>i24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Bhutan</td>\n",
       "      <td>Bhutan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bhutan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BT</td>\n",
       "      <td>btn</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BHUTAN</td>\n",
       "      <td>BTN</td>\n",
       "      <td>64</td>\n",
       "      <td>i25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Bolivia</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>Bolivia (Plurinational State of)</td>\n",
       "      <td>Bolivia Plurinational States of</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>BOLIVIA</td>\n",
       "      <td>BO</td>\n",
       "      <td>bol</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BOLIVIA</td>\n",
       "      <td>BOL</td>\n",
       "      <td>68</td>\n",
       "      <td>i26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Bosnia and Herzegovina</td>\n",
       "      <td>Bosnia and Herzegovina</td>\n",
       "      <td>Bosnia &amp; Herzegovina</td>\n",
       "      <td>Bosnia Herzegovena</td>\n",
       "      <td>Bosnia and H.</td>\n",
       "      <td>Bosnia &amp; Herzegovinia</td>\n",
       "      <td>BOSNIA &amp; HERZEGOVINA</td>\n",
       "      <td>BA</td>\n",
       "      <td>bih</td>\n",
       "      <td>Bosnia</td>\n",
       "      <td>BOSNIA AND HERZEGOWINA</td>\n",
       "      <td>BIH</td>\n",
       "      <td>70</td>\n",
       "      <td>i27</td>\n",
       "      <td>Bosnia-Herzegovina</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Botswana</td>\n",
       "      <td>Botswana</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Botswana</td>\n",
       "      <td>BOTSWANA</td>\n",
       "      <td>BW</td>\n",
       "      <td>bwa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BOTSWANA</td>\n",
       "      <td>BWA</td>\n",
       "      <td>72</td>\n",
       "      <td>i28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>BRAZIL</td>\n",
       "      <td>BR</td>\n",
       "      <td>bra</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BRAZIL</td>\n",
       "      <td>BRA</td>\n",
       "      <td>76</td>\n",
       "      <td>i29</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>Vanuatu</td>\n",
       "      <td>Vanuatu</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Vanuatu</td>\n",
       "      <td>NaN</td>\n",
       "      <td>VU</td>\n",
       "      <td>vut</td>\n",
       "      <td>NaN</td>\n",
       "      <td>VANUATU</td>\n",
       "      <td>VUT</td>\n",
       "      <td>548</td>\n",
       "      <td>i245</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>Venezuela</td>\n",
       "      <td>Venezuela</td>\n",
       "      <td>Venezuela, RB</td>\n",
       "      <td>Venezuela (Bolivarian Republic of)</td>\n",
       "      <td>Venezuela (Bolivarian Republic of</td>\n",
       "      <td>Venezuela</td>\n",
       "      <td>VENEZUELA</td>\n",
       "      <td>VE</td>\n",
       "      <td>ven</td>\n",
       "      <td>NaN</td>\n",
       "      <td>VENEZUELA</td>\n",
       "      <td>VEN</td>\n",
       "      <td>862</td>\n",
       "      <td>i246</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>West Bank and Gaza</td>\n",
       "      <td>West Bank and Gaza</td>\n",
       "      <td>Occupied Palestinian Territory</td>\n",
       "      <td>Palestinian territories</td>\n",
       "      <td>OPT</td>\n",
       "      <td>Occupied Palestinian Territory</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PS</td>\n",
       "      <td>pse</td>\n",
       "      <td>State of Palestine</td>\n",
       "      <td>PALESTINIAN TERRITORY, Occupied</td>\n",
       "      <td>PSE</td>\n",
       "      <td>275</td>\n",
       "      <td>i247</td>\n",
       "      <td>Palestine, State of</td>\n",
       "      <td>Palestine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>West Germany</td>\n",
       "      <td>West Germany</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>West Germany</td>\n",
       "      <td>NaN</td>\n",
       "      <td>West_Germany</td>\n",
       "      <td>_brd</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>i248</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>Western Sahara</td>\n",
       "      <td>Western Sahara</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Western Sahara</td>\n",
       "      <td>NaN</td>\n",
       "      <td>EH</td>\n",
       "      <td>esh</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WESTERN SAHARA</td>\n",
       "      <td>ESH</td>\n",
       "      <td>732</td>\n",
       "      <td>i249</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>Vietnam</td>\n",
       "      <td>Vietnam</td>\n",
       "      <td>Viet Nam</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Viet Nam</td>\n",
       "      <td>VIETNAM</td>\n",
       "      <td>VN</td>\n",
       "      <td>vnm</td>\n",
       "      <td>NaN</td>\n",
       "      <td>VIET NAM</td>\n",
       "      <td>VNM</td>\n",
       "      <td>704</td>\n",
       "      <td>i250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>Virgin Islands (U.S.)</td>\n",
       "      <td>Virgin Islands (U.S.)</td>\n",
       "      <td>United States Virgin Islands</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>VI</td>\n",
       "      <td>vir</td>\n",
       "      <td>NaN</td>\n",
       "      <td>VIRGIN ISLANDS (U.S.)</td>\n",
       "      <td>VIR</td>\n",
       "      <td>850</td>\n",
       "      <td>i251</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>North Yemen (former)</td>\n",
       "      <td>Yemen Arab Republic (Former)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>North_Yemen</td>\n",
       "      <td>_noy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>i252</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>South Yemen (former)</td>\n",
       "      <td>Yemen Democratic (Former)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>South_Yemen</td>\n",
       "      <td>_soy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>i253</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>Yemen</td>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>Yemen Republic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yemen</td>\n",
       "      <td>YEMEN</td>\n",
       "      <td>YE</td>\n",
       "      <td>yem</td>\n",
       "      <td>NaN</td>\n",
       "      <td>YEMEN</td>\n",
       "      <td>YEM</td>\n",
       "      <td>887</td>\n",
       "      <td>i254</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>Yugoslavia</td>\n",
       "      <td>Yugoslavia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yugoslavia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yugoslavia</td>\n",
       "      <td>_yug</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>i255</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>Zambia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZAMBIA</td>\n",
       "      <td>ZM</td>\n",
       "      <td>zmb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZAMBIA</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>894</td>\n",
       "      <td>i256</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZIMBABWE</td>\n",
       "      <td>ZW</td>\n",
       "      <td>zwe</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZIMBABWE</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>716</td>\n",
       "      <td>i257</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>Åland</td>\n",
       "      <td>Åland</td>\n",
       "      <td>√Öland</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AX</td>\n",
       "      <td>ala</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AALAND ISLANDS</td>\n",
       "      <td>ALA</td>\n",
       "      <td>248</td>\n",
       "      <td>i258</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>South Sudan</td>\n",
       "      <td>South Sudan</td>\n",
       "      <td>South â€Žsudan</td>\n",
       "      <td>Sudan South</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SS</td>\n",
       "      <td>sds</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>i211</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>Curaçao</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CW</td>\n",
       "      <td>nl-cw</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>i280</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>Sint Maarten (Dutch part)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SX</td>\n",
       "      <td>sxm</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>i271</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>St. Martin (French part)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maf</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>Antarctica</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AQ</td>\n",
       "      <td>ata</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>Bouvet Island</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BV</td>\n",
       "      <td>_bv</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>British Indian Ocean Territory</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IO</td>\n",
       "      <td>iot</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>Clipperton</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CP</td>\n",
       "      <td>fr-cp</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>French Southern and Antarctic Lands</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TF</td>\n",
       "      <td>fr_tf</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>Gaza Strip</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GZ</td>\n",
       "      <td>pse_gaz</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>Heard and McDonald Islands</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>HM</td>\n",
       "      <td>_hm</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>Northern Marianas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>_mp</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>South Georgia and the South Sandwich Islands</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GS</td>\n",
       "      <td>_gs</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>US Minor Outlying Islands</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>UM</td>\n",
       "      <td>_um</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>Virgin Islands</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>_vis</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>West Bank</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>pse_web</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>275 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Use Name  \\\n",
       "0                                        Abkhazia   \n",
       "1                                     Afghanistan   \n",
       "2                           Akrotiri and Dhekelia   \n",
       "3                                         Albania   \n",
       "4                                         Algeria   \n",
       "5                                  American Samoa   \n",
       "6                                         Andorra   \n",
       "7                                          Angola   \n",
       "8                                        Anguilla   \n",
       "9                             Antigua and Barbuda   \n",
       "10                                      Argentina   \n",
       "11                                        Armenia   \n",
       "12                                          Aruba   \n",
       "13                                      Australia   \n",
       "14                                        Austria   \n",
       "15                                     Azerbaijan   \n",
       "16                                        Bahamas   \n",
       "17                                        Bahrain   \n",
       "18                                     Bangladesh   \n",
       "19                                       Barbados   \n",
       "20                                        Belarus   \n",
       "21                                        Belgium   \n",
       "22                                         Belize   \n",
       "23                                          Benin   \n",
       "24                                        Bermuda   \n",
       "25                                         Bhutan   \n",
       "26                                        Bolivia   \n",
       "27                         Bosnia and Herzegovina   \n",
       "28                                       Botswana   \n",
       "29                                         Brazil   \n",
       "..                                            ...   \n",
       "245                                       Vanuatu   \n",
       "246                                     Venezuela   \n",
       "247                            West Bank and Gaza   \n",
       "248                                  West Germany   \n",
       "249                                Western Sahara   \n",
       "250                                       Vietnam   \n",
       "251                         Virgin Islands (U.S.)   \n",
       "252                          North Yemen (former)   \n",
       "253                          South Yemen (former)   \n",
       "254                                         Yemen   \n",
       "255                                    Yugoslavia   \n",
       "256                                        Zambia   \n",
       "257                                      Zimbabwe   \n",
       "258                                         Åland   \n",
       "259                                   South Sudan   \n",
       "260                                       Curaçao   \n",
       "261                     Sint Maarten (Dutch part)   \n",
       "262                      St. Martin (French part)   \n",
       "263                                    Antarctica   \n",
       "264                                 Bouvet Island   \n",
       "265                British Indian Ocean Territory   \n",
       "266                                    Clipperton   \n",
       "267           French Southern and Antarctic Lands   \n",
       "268                                    Gaza Strip   \n",
       "269                    Heard and McDonald Islands   \n",
       "270                             Northern Marianas   \n",
       "271  South Georgia and the South Sandwich Islands   \n",
       "272                     US Minor Outlying Islands   \n",
       "273                                Virgin Islands   \n",
       "274                                     West Bank   \n",
       "\n",
       "                   Gapminder list                     Alternative 1  \\\n",
       "0                        Abkhazia                               NaN   \n",
       "1                     Afghanistan   Islamic Republic of Afghanistan   \n",
       "2           Akrotiri and Dhekelia                               NaN   \n",
       "3                         Albania                               NaN   \n",
       "4                         Algeria                               NaN   \n",
       "5                  American Samoa                               NaN   \n",
       "6                         Andorra                               NaN   \n",
       "7                          Angola                               NaN   \n",
       "8                        Anguilla                               NaN   \n",
       "9             Antigua and Barbuda                               NaN   \n",
       "10                      Argentina                               NaN   \n",
       "11                        Armenia                               NaN   \n",
       "12                          Aruba                               NaN   \n",
       "13                      Australia                               NaN   \n",
       "14                        Austria                               NaN   \n",
       "15                     Azerbaijan                               NaN   \n",
       "16                        Bahamas                      Bahamas, The   \n",
       "17                        Bahrain                           Bahrein   \n",
       "18                     Bangladesh                               NaN   \n",
       "19                       Barbados                               NaN   \n",
       "20                        Belarus                               NaN   \n",
       "21                        Belgium                               NaN   \n",
       "22                         Belize                               NaN   \n",
       "23                          Benin                               NaN   \n",
       "24                        Bermuda                               NaN   \n",
       "25                         Bhutan                               NaN   \n",
       "26                        Bolivia  Bolivia (Plurinational State of)   \n",
       "27         Bosnia and Herzegovina              Bosnia & Herzegovina   \n",
       "28                       Botswana                               NaN   \n",
       "29                         Brazil                               NaN   \n",
       "..                            ...                               ...   \n",
       "245                       Vanuatu                               NaN   \n",
       "246                     Venezuela                     Venezuela, RB   \n",
       "247            West Bank and Gaza    Occupied Palestinian Territory   \n",
       "248                  West Germany                               NaN   \n",
       "249                Western Sahara                               NaN   \n",
       "250                       Vietnam                          Viet Nam   \n",
       "251         Virgin Islands (U.S.)      United States Virgin Islands   \n",
       "252  Yemen Arab Republic (Former)                               NaN   \n",
       "253     Yemen Democratic (Former)                               NaN   \n",
       "254                   Yemen, Rep.                    Yemen Republic   \n",
       "255                    Yugoslavia                               NaN   \n",
       "256                        Zambia                               NaN   \n",
       "257                      Zimbabwe                               NaN   \n",
       "258                         Åland                            √Öland   \n",
       "259                   South Sudan                    South â€Žsudan   \n",
       "260                           NaN                               NaN   \n",
       "261                           NaN                               NaN   \n",
       "262                           NaN                               NaN   \n",
       "263                           NaN                               NaN   \n",
       "264                           NaN                               NaN   \n",
       "265                           NaN                               NaN   \n",
       "266                           NaN                               NaN   \n",
       "267                           NaN                               NaN   \n",
       "268                           NaN                               NaN   \n",
       "269                           NaN                               NaN   \n",
       "270                           NaN                               NaN   \n",
       "271                           NaN                               NaN   \n",
       "272                           NaN                               NaN   \n",
       "273                           NaN                               NaN   \n",
       "274                           NaN                               NaN   \n",
       "\n",
       "                          Alternative 2                      Alternative 3  \\\n",
       "0                                   NaN                                NaN   \n",
       "1                                   NaN                                NaN   \n",
       "2                                   NaN                                NaN   \n",
       "3                                   NaN                                NaN   \n",
       "4                                   NaN                                NaN   \n",
       "5                                   NaN                                NaN   \n",
       "6                                   NaN                                NaN   \n",
       "7                                   NaN                                NaN   \n",
       "8                                   NaN                                NaN   \n",
       "9                                   NaN                                NaN   \n",
       "10                                  NaN                                NaN   \n",
       "11                                  NaN                                NaN   \n",
       "12                                  NaN                                NaN   \n",
       "13                                  NaN                                NaN   \n",
       "14                                  NaN                                NaN   \n",
       "15                                  NaN                                NaN   \n",
       "16                          The Bahamas                                NaN   \n",
       "17                                  NaN                                NaN   \n",
       "18                                  NaN                                NaN   \n",
       "19                                  NaN                                NaN   \n",
       "20                                  NaN                                NaN   \n",
       "21                                  NaN                                NaN   \n",
       "22                                  NaN                                NaN   \n",
       "23                                  NaN                                NaN   \n",
       "24                                  NaN                                NaN   \n",
       "25                                  NaN                                NaN   \n",
       "26      Bolivia Plurinational States of                                NaN   \n",
       "27                   Bosnia Herzegovena                      Bosnia and H.   \n",
       "28                                  NaN                                NaN   \n",
       "29                                  NaN                                NaN   \n",
       "..                                  ...                                ...   \n",
       "245                                 NaN                                NaN   \n",
       "246  Venezuela (Bolivarian Republic of)  Venezuela (Bolivarian Republic of   \n",
       "247             Palestinian territories                                OPT   \n",
       "248                                 NaN                                NaN   \n",
       "249                                 NaN                                NaN   \n",
       "250                                 NaN                                NaN   \n",
       "251                                 NaN                                NaN   \n",
       "252                                 NaN                                NaN   \n",
       "253                                 NaN                                NaN   \n",
       "254                                 NaN                                NaN   \n",
       "255                                 NaN                                NaN   \n",
       "256                                 NaN                                NaN   \n",
       "257                                 NaN                                NaN   \n",
       "258                                 NaN                                NaN   \n",
       "259                         Sudan South                                NaN   \n",
       "260                                 NaN                                NaN   \n",
       "261                                 NaN                                NaN   \n",
       "262                                 NaN                                NaN   \n",
       "263                                 NaN                                NaN   \n",
       "264                                 NaN                                NaN   \n",
       "265                                 NaN                                NaN   \n",
       "266                                 NaN                                NaN   \n",
       "267                                 NaN                                NaN   \n",
       "268                                 NaN                                NaN   \n",
       "269                                 NaN                                NaN   \n",
       "270                                 NaN                                NaN   \n",
       "271                                 NaN                                NaN   \n",
       "272                                 NaN                                NaN   \n",
       "273                                 NaN                                NaN   \n",
       "274                                 NaN                                NaN   \n",
       "\n",
       "              Alternative 4 (CDIAC)                 pandg             GOD_ID  \\\n",
       "0                               NaN                   NaN              GE-AB   \n",
       "1                       Afghanistan           AFGHANISTAN                 AF   \n",
       "2                               NaN                   NaN  Akrotiri_Dhekelia   \n",
       "3                           Albania               ALBANIA                 AL   \n",
       "4                           Algeria               ALGERIA                 DZ   \n",
       "5                               NaN                   NaN                 AS   \n",
       "6                               NaN                   NaN                 AD   \n",
       "7                            Angola                ANGOLA                 AO   \n",
       "8                               NaN                   NaN                 AI   \n",
       "9                 Antigua & Barbuda                   NaN                 AG   \n",
       "10                        Argentina             ARGENTINA                 AR   \n",
       "11                          Armenia               ARMENIA                 AM   \n",
       "12                            Aruba                   NaN                 AW   \n",
       "13                        Australia             AUSTRALIA                 AU   \n",
       "14                          Austria               AUSTRIA                 AT   \n",
       "15                       Azerbaijan            AZERBAIJAN                 AZ   \n",
       "16                          Bahamas                   NaN                 BS   \n",
       "17                          Bahrain               BAHRAIN                 BH   \n",
       "18                       Bangladesh                   NaN                 BD   \n",
       "19                         Barbados                   NaN                 BB   \n",
       "20                          Belarus               BELARUS                 BY   \n",
       "21                          Belgium               BELGIUM                 BE   \n",
       "22                           Belize                BELIZE                 BZ   \n",
       "23                            Benin                 BENIN                 BJ   \n",
       "24                          Bermuda                   NaN                 BM   \n",
       "25                           Bhutan                   NaN                 BT   \n",
       "26                          Bolivia               BOLIVIA                 BO   \n",
       "27            Bosnia & Herzegovinia  BOSNIA & HERZEGOVINA                 BA   \n",
       "28                         Botswana              BOTSWANA                 BW   \n",
       "29                           Brazil                BRAZIL                 BR   \n",
       "..                              ...                   ...                ...   \n",
       "245                         Vanuatu                   NaN                 VU   \n",
       "246                       Venezuela             VENEZUELA                 VE   \n",
       "247  Occupied Palestinian Territory                   NaN                 PS   \n",
       "248                    West Germany                   NaN       West_Germany   \n",
       "249                  Western Sahara                   NaN                 EH   \n",
       "250                        Viet Nam               VIETNAM                 VN   \n",
       "251                             NaN                   NaN                 VI   \n",
       "252                             NaN                   NaN        North_Yemen   \n",
       "253                             NaN                   NaN        South_Yemen   \n",
       "254                           Yemen                 YEMEN                 YE   \n",
       "255                      Yugoslavia                   NaN         Yugoslavia   \n",
       "256                          Zambia                ZAMBIA                 ZM   \n",
       "257                        Zimbabwe              ZIMBABWE                 ZW   \n",
       "258                             NaN                   NaN                 AX   \n",
       "259                             NaN                   NaN                 SS   \n",
       "260                             NaN                   NaN                 CW   \n",
       "261                             NaN                   NaN                 SX   \n",
       "262                             NaN                   NaN                NaN   \n",
       "263                             NaN                   NaN                 AQ   \n",
       "264                             NaN                   NaN                 BV   \n",
       "265                             NaN                   NaN                 IO   \n",
       "266                             NaN                   NaN                 CP   \n",
       "267                             NaN                   NaN                 TF   \n",
       "268                             NaN                   NaN                 GZ   \n",
       "269                             NaN                   NaN                 HM   \n",
       "270                             NaN                   NaN                NaN   \n",
       "271                             NaN                   NaN                 GS   \n",
       "272                             NaN                   NaN                 UM   \n",
       "273                             NaN                   NaN                NaN   \n",
       "274                             NaN                   NaN                NaN   \n",
       "\n",
       "    ISO3dig_ext               ALT 5                             NAME CODE  \\\n",
       "0          _abk                 NaN                              NaN  NaN   \n",
       "1           afg                 NaN                      AFGHANISTAN  AFG   \n",
       "2          _akr                 NaN                              NaN  NaN   \n",
       "3           alb                 NaN                          ALBANIA  ALB   \n",
       "4           dza                 NaN                          ALGERIA  DZA   \n",
       "5           asm                 NaN                   AMERICAN SAMOA  ASM   \n",
       "6           and                 NaN                          ANDORRA  AND   \n",
       "7           ago                 NaN                           ANGOLA  AGO   \n",
       "8           aia                 NaN                         ANGUILLA  AIA   \n",
       "9           atg                 NaN              ANTIGUA AND BARBUDA  ATG   \n",
       "10          arg                 NaN                        ARGENTINA  ARG   \n",
       "11          arm                 NaN                          ARMENIA  ARM   \n",
       "12          abw                 NaN                            ARUBA  ABW   \n",
       "13          aus                 NaN                        AUSTRALIA  AUS   \n",
       "14          aut                 NaN                          AUSTRIA  AUT   \n",
       "15          aze                 NaN                       AZERBAIJAN  AZE   \n",
       "16          bhs                 NaN                          BAHAMAS  BHS   \n",
       "17          bhr                 NaN                          BAHRAIN  BHR   \n",
       "18          bgd                 NaN                       BANGLADESH  BGD   \n",
       "19          brb                 NaN                         BARBADOS  BRB   \n",
       "20          blr                 NaN                          BELARUS  BLR   \n",
       "21          bel                 NaN                          BELGIUM  BEL   \n",
       "22          blz                 NaN                           BELIZE  BLZ   \n",
       "23          ben                 NaN                            BENIN  BEN   \n",
       "24          bmu                 NaN                          BERMUDA  BMU   \n",
       "25          btn                 NaN                           BHUTAN  BTN   \n",
       "26          bol                 NaN                          BOLIVIA  BOL   \n",
       "27          bih              Bosnia           BOSNIA AND HERZEGOWINA  BIH   \n",
       "28          bwa                 NaN                         BOTSWANA  BWA   \n",
       "29          bra                 NaN                           BRAZIL  BRA   \n",
       "..          ...                 ...                              ...  ...   \n",
       "245         vut                 NaN                          VANUATU  VUT   \n",
       "246         ven                 NaN                        VENEZUELA  VEN   \n",
       "247         pse  State of Palestine  PALESTINIAN TERRITORY, Occupied  PSE   \n",
       "248        _brd                 NaN                              NaN  NaN   \n",
       "249         esh                 NaN                   WESTERN SAHARA  ESH   \n",
       "250         vnm                 NaN                         VIET NAM  VNM   \n",
       "251         vir                 NaN            VIRGIN ISLANDS (U.S.)  VIR   \n",
       "252        _noy                 NaN                              NaN  NaN   \n",
       "253        _soy                 NaN                              NaN  NaN   \n",
       "254         yem                 NaN                            YEMEN  YEM   \n",
       "255        _yug                 NaN                              NaN  NaN   \n",
       "256         zmb                 NaN                           ZAMBIA  ZMB   \n",
       "257         zwe                 NaN                         ZIMBABWE  ZWE   \n",
       "258         ala                 NaN                   AALAND ISLANDS  ALA   \n",
       "259         sds                 NaN                              NaN  NaN   \n",
       "260       nl-cw                 NaN                              NaN  NaN   \n",
       "261         sxm                 NaN                              NaN  NaN   \n",
       "262         maf                 NaN                              NaN  NaN   \n",
       "263         ata                 NaN                              NaN  NaN   \n",
       "264         _bv                 NaN                              NaN  NaN   \n",
       "265         iot                 NaN                              NaN  NaN   \n",
       "266       fr-cp                 NaN                              NaN  NaN   \n",
       "267       fr_tf                 NaN                              NaN  NaN   \n",
       "268     pse_gaz                 NaN                              NaN  NaN   \n",
       "269         _hm                 NaN                              NaN  NaN   \n",
       "270         _mp                 NaN                              NaN  NaN   \n",
       "271         _gs                 NaN                              NaN  NaN   \n",
       "272         _um                 NaN                              NaN  NaN   \n",
       "273        _vis                 NaN                              NaN  NaN   \n",
       "274     pse_web                 NaN                              NaN  NaN   \n",
       "\n",
       "     Number  Gwid                 arb1       arb2 arb3 arb4 arb5 arb6  \n",
       "0       NaN    i0                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "1         4    i1                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "2       NaN    i2                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "3         8    i3                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "4        12    i4                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "5        16    i5                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "6        20    i6                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "7        24    i7                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "8       660    i8                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "9        28    i9                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "10       32   i10                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "11       51   i11                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "12      533   i12                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "13       36   i13                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "14       40   i14                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "15       31   i15                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "16       44   i16                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "17       48   i17                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "18       50   i18                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "19       52   i19                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "20      112   i20                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "21       56   i21                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "22       84   i22                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "23      204   i23                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "24       60   i24                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "25       64   i25                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "26       68   i26                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "27       70   i27   Bosnia-Herzegovina        NaN  NaN  NaN  NaN  NaN  \n",
       "28       72   i28                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "29       76   i29                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "..      ...   ...                  ...        ...  ...  ...  ...  ...  \n",
       "245     548  i245                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "246     862  i246                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "247     275  i247  Palestine, State of  Palestine  NaN  NaN  NaN  NaN  \n",
       "248     NaN  i248                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "249     732  i249                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "250     704  i250                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "251     850  i251                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "252     NaN  i252                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "253     NaN  i253                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "254     887  i254                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "255     NaN  i255                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "256     894  i256                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "257     716  i257                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "258     248  i258                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "259     NaN  i211                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "260     NaN  i280                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "261     NaN  i271                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "262     NaN   NaN                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "263     NaN   NaN                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "264     NaN   NaN                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "265     NaN   NaN                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "266     NaN   NaN                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "267     NaN   NaN                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "268     NaN   NaN                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "269     NaN   NaN                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "270     NaN   NaN                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "271     NaN   NaN                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "272     NaN   NaN                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "273     NaN   NaN                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "274     NaN   NaN                  NaN        NaN  NaN  NaN  NaN  NaN  \n",
       "\n",
       "[275 rows x 20 columns]"
      ]
     },
     "execution_count": 533,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 290,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "country2 = pd.concat([country, geo_2], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 291,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "country2 = country2.reset_index()\n",
    "country2 = country2.rename(columns={'NAME': 'Upper Case Name', 'Use Name': 'Name', 'ISO3dig_ext': 'country_2'})\n",
    "country2.columns = list(map(to_concept_id, country2.columns))\n",
    "country2['is--country'] = 'TRUE'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# country2 = country2.set_index('country').rename(index=m)  #MODI\n",
    "# country2 = country2.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 292,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "country3 = pd.read_csv('./source/ddf--entities--geo--country.csv', encoding='latin')  # TODO: add a issue about United Korea (former)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 293,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "country3 = country3[['geo', 'world_4region', 'latitude', 'longitude', 'name']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "country3 = country3.rename(columns={'geo': 'country'}).set_index('name')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 295,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "country4 = pd.concat([country2.set_index('name'), country3], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 296,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "country4 = country4.reset_index()\n",
    "country4 = country4.rename(columns={'index': 'name'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ccs = country4.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['name', 'country', 'gwid', 'geographic_regions', 'income_groups',\n",
       "       'landlocked', 'g77_and_oecd_countries',\n",
       "       'geographic_regions_in_4_colors', 'main_religion_2008',\n",
       "       'gapminder_list', 'alternative_1', 'alternative_2', 'alternative_3',\n",
       "       'alternative_4_cdiac', 'pandg', 'god_id', 'alt_5', 'upper_case_name',\n",
       "       'code', 'number', 'arb1', 'arb2', 'arb3', 'arb4', 'arb5', 'arb6',\n",
       "       'is--country', 'country_2', 'world_4region', 'latitude', 'longitude'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ccs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 297,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "c2c = ['country', 'gwid', 'name', 'alt_5', 'alternative_1', 'alternative_2', 'alternative_3',\n",
    "       'alternative_4_cdiac', 'arb1', 'arb2', 'arb3', 'arb4', 'arb5', 'arb6',\n",
    "       'code', 'g77_and_oecd_countries', 'gapminder_list',\n",
    "       'geographic_regions', 'geographic_regions_in_4_colors', 'god_id',\n",
    "        'income_groups', 'is--country', 'landlocked', 'latitude',\n",
    "       'longitude', 'main_religion_2008', 'number', 'pandg',\n",
    "       'upper_case_name', 'world_4region']\n",
    "\n",
    "country4.loc[:, c2c].to_csv('./output/ddf/ddf--entities--geo--country.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 298,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>gwid</th>\n",
       "      <th>country_2</th>\n",
       "      <th>geographic_regions</th>\n",
       "      <th>income_groups</th>\n",
       "      <th>landlocked</th>\n",
       "      <th>g77_and_oecd_countries</th>\n",
       "      <th>geographic_regions_in_4_colors</th>\n",
       "      <th>main_religion_2008</th>\n",
       "      <th>gapminder_list</th>\n",
       "      <th>...</th>\n",
       "      <th>arb2</th>\n",
       "      <th>arb3</th>\n",
       "      <th>arb4</th>\n",
       "      <th>arb5</th>\n",
       "      <th>arb6</th>\n",
       "      <th>is--country</th>\n",
       "      <th>country</th>\n",
       "      <th>world_4region</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Abkhazia</td>\n",
       "      <td>i0</td>\n",
       "      <td>_abk</td>\n",
       "      <td>europe_central_asia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>others</td>\n",
       "      <td>europe</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Abkhazia</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TRUE</td>\n",
       "      <td>abkh</td>\n",
       "      <td>europe</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>i1</td>\n",
       "      <td>afg</td>\n",
       "      <td>south_asia</td>\n",
       "      <td>low_income</td>\n",
       "      <td>landlocked</td>\n",
       "      <td>g77</td>\n",
       "      <td>asia</td>\n",
       "      <td>muslim</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TRUE</td>\n",
       "      <td>afg</td>\n",
       "      <td>asia</td>\n",
       "      <td>33</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Akrotiri and Dhekelia</td>\n",
       "      <td>i2</td>\n",
       "      <td>_akr</td>\n",
       "      <td>europe_central_asia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>coastline</td>\n",
       "      <td>others</td>\n",
       "      <td>europe</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Akrotiri and Dhekelia</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TRUE</td>\n",
       "      <td>akr_a_dhe</td>\n",
       "      <td>europe</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>i3</td>\n",
       "      <td>alb</td>\n",
       "      <td>europe_central_asia</td>\n",
       "      <td>upper_middle_income</td>\n",
       "      <td>coastline</td>\n",
       "      <td>others</td>\n",
       "      <td>europe</td>\n",
       "      <td>muslim</td>\n",
       "      <td>Albania</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TRUE</td>\n",
       "      <td>alb</td>\n",
       "      <td>europe</td>\n",
       "      <td>41</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Algeria</td>\n",
       "      <td>i4</td>\n",
       "      <td>dza</td>\n",
       "      <td>middle_east_north_africa</td>\n",
       "      <td>upper_middle_income</td>\n",
       "      <td>coastline</td>\n",
       "      <td>g77</td>\n",
       "      <td>africa</td>\n",
       "      <td>muslim</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TRUE</td>\n",
       "      <td>dza</td>\n",
       "      <td>africa</td>\n",
       "      <td>28</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    name gwid country_2        geographic_regions  \\\n",
       "0               Abkhazia   i0      _abk       europe_central_asia   \n",
       "1            Afghanistan   i1       afg                south_asia   \n",
       "2  Akrotiri and Dhekelia   i2      _akr       europe_central_asia   \n",
       "3                Albania   i3       alb       europe_central_asia   \n",
       "4                Algeria   i4       dza  middle_east_north_africa   \n",
       "\n",
       "         income_groups  landlocked g77_and_oecd_countries  \\\n",
       "0                  NaN         NaN                 others   \n",
       "1           low_income  landlocked                    g77   \n",
       "2                  NaN   coastline                 others   \n",
       "3  upper_middle_income   coastline                 others   \n",
       "4  upper_middle_income   coastline                    g77   \n",
       "\n",
       "  geographic_regions_in_4_colors main_religion_2008         gapminder_list  \\\n",
       "0                         europe                NaN               Abkhazia   \n",
       "1                           asia             muslim            Afghanistan   \n",
       "2                         europe                NaN  Akrotiri and Dhekelia   \n",
       "3                         europe             muslim                Albania   \n",
       "4                         africa             muslim                Algeria   \n",
       "\n",
       "     ...     arb2 arb3 arb4 arb5 arb6 is--country    country world_4region  \\\n",
       "0    ...      NaN  NaN  NaN  NaN  NaN        TRUE       abkh        europe   \n",
       "1    ...      NaN  NaN  NaN  NaN  NaN        TRUE        afg          asia   \n",
       "2    ...      NaN  NaN  NaN  NaN  NaN        TRUE  akr_a_dhe        europe   \n",
       "3    ...      NaN  NaN  NaN  NaN  NaN        TRUE        alb        europe   \n",
       "4    ...      NaN  NaN  NaN  NaN  NaN        TRUE        dza        africa   \n",
       "\n",
       "  latitude  longitude  \n",
       "0      NaN        NaN  \n",
       "1       33         66  \n",
       "2      NaN        NaN  \n",
       "3       41         20  \n",
       "4       28          3  \n",
       "\n",
       "[5 rows x 31 columns]"
      ]
     },
     "execution_count": 298,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "country4.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Concepts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# TODO: because concept source file changed, need to change below too."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 338,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dsc = concepts.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 339,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Name', 'Tooltip', 'Menu level1', 'Menu level 2', 'Indicator url',\n",
       "       'Download', 'ddf_id', 'Scale', 'ddf_name', 'ddf_unit', 'old_ddf_id',\n",
       "       'interpolation'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 339,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dsc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 340,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "concepts.columns = list(map(to_concept_id, concepts.columns))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 341,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "concepts['concept_type'] = 'measure'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 342,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "concepts = concepts.drop(['download', 'old_ddf_id'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 343,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "concepts = concepts.iloc[:, [5, 0, 1,2,3,4,6,7, 8, 9, 10]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 344,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "concepts = concepts.rename(columns={'ddf_id':'concept', 'name': 'full_name','ddf_name':'name', 'ddf_unit': 'unit', 'tooltip': 'description'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 345,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>concept</th>\n",
       "      <th>full_name</th>\n",
       "      <th>tooltip</th>\n",
       "      <th>menu_level1</th>\n",
       "      <th>menu_level_2</th>\n",
       "      <th>indicator_url</th>\n",
       "      <th>scale</th>\n",
       "      <th>name</th>\n",
       "      <th>unit</th>\n",
       "      <th>interpolation</th>\n",
       "      <th>concept_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>children_per_woman_total_fertility</td>\n",
       "      <td>Children per woman (total fertility)</td>\n",
       "      <td>Total fertility rate. The number of children t...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://spreadsheets.google.com/pub?key=phAwcNA...</td>\n",
       "      <td>lin</td>\n",
       "      <td>Babies per woman</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>measure</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>co2_emissions_tonnes_per_person</td>\n",
       "      <td>CO2 emissions (tonnes per person)</td>\n",
       "      <td>Carbon dioxide emissions from the burning of f...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://spreadsheets.google.com/pub?key=phAwcNA...</td>\n",
       "      <td>lin</td>\n",
       "      <td>CO2 emissions</td>\n",
       "      <td>tons per person</td>\n",
       "      <td>NaN</td>\n",
       "      <td>measure</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>income_per_person_gdppercapita_ppp_inflation_a...</td>\n",
       "      <td>Income per person (GDP/capita, PPP$ inflation-...</td>\n",
       "      <td>Gross domestic product per person adjusted for...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://spreadsheets.google.com/pub?key=phAwcNA...</td>\n",
       "      <td>log</td>\n",
       "      <td>Income per person</td>\n",
       "      <td>$/year (GDP/capita)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>measure</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>child_mortality_0_5_year_olds_dying_per_1000_born</td>\n",
       "      <td>Child mortality (0-5 year-olds dying per 1,000...</td>\n",
       "      <td>Death of children under five years of age per ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://spreadsheets.google.com/pub?key=0ArfEDs...</td>\n",
       "      <td>log</td>\n",
       "      <td>Child mortality rate</td>\n",
       "      <td>deaths under age 5 per 1000 births</td>\n",
       "      <td>NaN</td>\n",
       "      <td>measure</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>life_expectancy_years</td>\n",
       "      <td>Life expectancy (years)</td>\n",
       "      <td>The average number of years a newborn child wo...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://spreadsheets.google.com/pub?key=phAwcNA...</td>\n",
       "      <td>lin</td>\n",
       "      <td>Life expectancy</td>\n",
       "      <td>years</td>\n",
       "      <td>NaN</td>\n",
       "      <td>measure</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             concept  \\\n",
       "0                 children_per_woman_total_fertility   \n",
       "1                    co2_emissions_tonnes_per_person   \n",
       "2  income_per_person_gdppercapita_ppp_inflation_a...   \n",
       "3  child_mortality_0_5_year_olds_dying_per_1000_born   \n",
       "4                              life_expectancy_years   \n",
       "\n",
       "                                           full_name  \\\n",
       "0               Children per woman (total fertility)   \n",
       "1                  CO2 emissions (tonnes per person)   \n",
       "2  Income per person (GDP/capita, PPP$ inflation-...   \n",
       "3  Child mortality (0-5 year-olds dying per 1,000...   \n",
       "4                            Life expectancy (years)   \n",
       "\n",
       "                                             tooltip menu_level1 menu_level_2  \\\n",
       "0  Total fertility rate. The number of children t...         NaN          NaN   \n",
       "1  Carbon dioxide emissions from the burning of f...         NaN          NaN   \n",
       "2  Gross domestic product per person adjusted for...         NaN          NaN   \n",
       "3  Death of children under five years of age per ...         NaN          NaN   \n",
       "4  The average number of years a newborn child wo...         NaN          NaN   \n",
       "\n",
       "                                       indicator_url scale  \\\n",
       "0  http://spreadsheets.google.com/pub?key=phAwcNA...   lin   \n",
       "1  http://spreadsheets.google.com/pub?key=phAwcNA...   lin   \n",
       "2  http://spreadsheets.google.com/pub?key=phAwcNA...   log   \n",
       "3  http://spreadsheets.google.com/pub?key=0ArfEDs...   log   \n",
       "4  http://spreadsheets.google.com/pub?key=phAwcNA...   lin   \n",
       "\n",
       "                   name                                unit  interpolation  \\\n",
       "0      Babies per woman                                 NaN            NaN   \n",
       "1         CO2 emissions                     tons per person            NaN   \n",
       "2     Income per person                 $/year (GDP/capita)            NaN   \n",
       "3  Child mortality rate  deaths under age 5 per 1000 births            NaN   \n",
       "4       Life expectancy                               years            NaN   \n",
       "\n",
       "  concept_type  \n",
       "0      measure  \n",
       "1      measure  \n",
       "2      measure  \n",
       "3      measure  \n",
       "4      measure  "
      ]
     },
     "execution_count": 345,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "concepts.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Name', 'Tooltip', 'Menu level1', 'Menu level 2', 'Indicator url',\n",
       "       'Download', 'Scale'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dsc.drop('ddf_id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "544"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(concepts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 346,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "cc = concepts[['concept', 'name', 'concept_type', 'description', 'indicator_url', 'scale', 'unit', 'interpolation']].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# cc.columns = [['concept', 'name', 'concept_type', 'tooltip', 'indicator_url']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 432,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "k = concepts[concepts.concept == u'———————————————————————'].index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 348,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "cc = cc.drop(k)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 349,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "cc['drill_up'] = np.nan\n",
    "cc['domain'] = np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 350,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "cc['scales'] = cc['scale'].apply(lambda x: ['log', 'linear'] if x=='log' else ['linear', 'log'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 259,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 352,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dc = pd.DataFrame([], columns=cc.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 353,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dcl = list(map(to_concept_id, gps.n.values))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 354,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "ccs = ['gapminder_list', 'alternative_1', 'alternative_2', 'alternative_3',\n",
    "       'alternative_4_cdiac', 'pandg', 'god_id', 'alt_5', 'upper_case_name',\n",
    "       'code', 'number', 'arb1', 'arb2', 'arb3', 'arb4', 'arb5', 'arb6',\n",
    "       'world_4region', 'latitude', 'longitude']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 355,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ccs_id = list(map(to_concept_id, ccs))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 356,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "dcl_ = np.r_[dcl, ['geo', 'country','time', 'name', 'gwid', 'name_short', 'name_long', 'description'], \n",
    "             [x+'_id' for x in dcl], ccs_id, ['indicator_url', 'scale', 'unit', 'interpolation']]\n",
    "\n",
    "\n",
    "dcl_2 = np.r_[gps.n.values, ['Geo', 'Country','Time', 'Name', 'Gwid', 'Name Short', 'Name Long', 'Description'], \n",
    "              [x+' id' for x in gps.n.values], ccs, ['indicator_url', 'Scale', 'Unit', 'interpolation']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 357,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "dc['concept'] = dcl_\n",
    "dc['name'] = dcl_2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 358,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "dc['concept_type'] = 'string'\n",
    "dc.loc[:5, 'concept_type'] = 'entity_set'\n",
    "dc.loc[6, 'concept_type'] = 'entity_domain'\n",
    "dc.loc[7, 'concept_type'] = 'entity_set'\n",
    "dc.loc[8, 'concept_type'] = 'time'\n",
    "dc.loc[37, 'concept_type'] = 'entity_set'\n",
    "dc.loc[[38,39], 'concept_type'] = 'measure'\n",
    "dc.loc[[38,39], 'unit'] = 'degrees'\n",
    "dc.loc[38, 'scale'] = 'lat'\n",
    "dc.loc[39, 'scale'] = 'long'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 359,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# dc['concept_type'] = 'string'\n",
    "dc.loc[:5, 'domain'] = 'geo'\n",
    "\n",
    "dc.loc[7, 'drill_up'] = dcl\n",
    "dc.loc[7, 'domain'] = 'geo'\n",
    "dc.loc[37, 'domain'] = 'geo'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 360,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>concept</th>\n",
       "      <th>name</th>\n",
       "      <th>concept_type</th>\n",
       "      <th>tooltip</th>\n",
       "      <th>indicator_url</th>\n",
       "      <th>scale</th>\n",
       "      <th>unit</th>\n",
       "      <th>interpolation</th>\n",
       "      <th>drill_up</th>\n",
       "      <th>domain</th>\n",
       "      <th>scales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>geographic_regions</td>\n",
       "      <td>Geographic regions</td>\n",
       "      <td>entity_set</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>geo</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>income_groups</td>\n",
       "      <td>Income groups</td>\n",
       "      <td>entity_set</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>geo</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>landlocked</td>\n",
       "      <td>Landlocked</td>\n",
       "      <td>entity_set</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>geo</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>g77_and_oecd_countries</td>\n",
       "      <td>G77 and OECD countries</td>\n",
       "      <td>entity_set</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>geo</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>geographic_regions_in_4_colors</td>\n",
       "      <td>Geographic regions in 4 colors</td>\n",
       "      <td>entity_set</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>geo</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>main_religion_2008</td>\n",
       "      <td>Main religion 2008</td>\n",
       "      <td>entity_set</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>geo</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>geo</td>\n",
       "      <td>Geo</td>\n",
       "      <td>entity_domain</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>country</td>\n",
       "      <td>Country</td>\n",
       "      <td>entity_set</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[geographic_regions, income_groups, landlocked...</td>\n",
       "      <td>geo</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>time</td>\n",
       "      <td>Time</td>\n",
       "      <td>time</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>name</td>\n",
       "      <td>Name</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>gwid</td>\n",
       "      <td>Gwid</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>name_short</td>\n",
       "      <td>Name Short</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>name_long</td>\n",
       "      <td>Name Long</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>description</td>\n",
       "      <td>Description</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>geographic_regions_id</td>\n",
       "      <td>Geographic regions id</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>income_groups_id</td>\n",
       "      <td>Income groups id</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>landlocked_id</td>\n",
       "      <td>Landlocked id</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>g77_and_oecd_countries_id</td>\n",
       "      <td>G77 and OECD countries id</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>geographic_regions_in_4_colors_id</td>\n",
       "      <td>Geographic regions in 4 colors id</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>main_religion_2008_id</td>\n",
       "      <td>Main religion 2008 id</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>gapminder_list</td>\n",
       "      <td>gapminder_list</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>alternative_1</td>\n",
       "      <td>alternative_1</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>alternative_2</td>\n",
       "      <td>alternative_2</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>alternative_3</td>\n",
       "      <td>alternative_3</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>alternative_4_cdiac</td>\n",
       "      <td>alternative_4_cdiac</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>pandg</td>\n",
       "      <td>pandg</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>god_id</td>\n",
       "      <td>god_id</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>alt_5</td>\n",
       "      <td>alt_5</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>upper_case_name</td>\n",
       "      <td>upper_case_name</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>code</td>\n",
       "      <td>code</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>number</td>\n",
       "      <td>number</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>arb1</td>\n",
       "      <td>arb1</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>arb2</td>\n",
       "      <td>arb2</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>arb3</td>\n",
       "      <td>arb3</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>arb4</td>\n",
       "      <td>arb4</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>arb5</td>\n",
       "      <td>arb5</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>arb6</td>\n",
       "      <td>arb6</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>world_4region</td>\n",
       "      <td>world_4region</td>\n",
       "      <td>entity_set</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>geo</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>latitude</td>\n",
       "      <td>latitude</td>\n",
       "      <td>measure</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>lat</td>\n",
       "      <td>degrees</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>longitude</td>\n",
       "      <td>longitude</td>\n",
       "      <td>measure</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>long</td>\n",
       "      <td>degrees</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>tooltip</td>\n",
       "      <td>tooltip</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>indicator_url</td>\n",
       "      <td>indicator_url</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>scale</td>\n",
       "      <td>Scale</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>unit</td>\n",
       "      <td>Unit</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>interpolation</td>\n",
       "      <td>interpolation</td>\n",
       "      <td>string</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              concept                               name  \\\n",
       "0                  geographic_regions                 Geographic regions   \n",
       "1                       income_groups                      Income groups   \n",
       "2                          landlocked                         Landlocked   \n",
       "3              g77_and_oecd_countries             G77 and OECD countries   \n",
       "4      geographic_regions_in_4_colors     Geographic regions in 4 colors   \n",
       "5                  main_religion_2008                 Main religion 2008   \n",
       "6                                 geo                                Geo   \n",
       "7                             country                            Country   \n",
       "8                                time                               Time   \n",
       "9                                name                               Name   \n",
       "10                               gwid                               Gwid   \n",
       "11                         name_short                         Name Short   \n",
       "12                          name_long                          Name Long   \n",
       "13                        description                        Description   \n",
       "14              geographic_regions_id              Geographic regions id   \n",
       "15                   income_groups_id                   Income groups id   \n",
       "16                      landlocked_id                      Landlocked id   \n",
       "17          g77_and_oecd_countries_id          G77 and OECD countries id   \n",
       "18  geographic_regions_in_4_colors_id  Geographic regions in 4 colors id   \n",
       "19              main_religion_2008_id              Main religion 2008 id   \n",
       "20                     gapminder_list                     gapminder_list   \n",
       "21                      alternative_1                      alternative_1   \n",
       "22                      alternative_2                      alternative_2   \n",
       "23                      alternative_3                      alternative_3   \n",
       "24                alternative_4_cdiac                alternative_4_cdiac   \n",
       "25                              pandg                              pandg   \n",
       "26                             god_id                             god_id   \n",
       "27                              alt_5                              alt_5   \n",
       "28                    upper_case_name                    upper_case_name   \n",
       "29                               code                               code   \n",
       "30                             number                             number   \n",
       "31                               arb1                               arb1   \n",
       "32                               arb2                               arb2   \n",
       "33                               arb3                               arb3   \n",
       "34                               arb4                               arb4   \n",
       "35                               arb5                               arb5   \n",
       "36                               arb6                               arb6   \n",
       "37                      world_4region                      world_4region   \n",
       "38                           latitude                           latitude   \n",
       "39                          longitude                          longitude   \n",
       "40                            tooltip                            tooltip   \n",
       "41                      indicator_url                      indicator_url   \n",
       "42                              scale                              Scale   \n",
       "43                               unit                               Unit   \n",
       "44                      interpolation                      interpolation   \n",
       "\n",
       "     concept_type tooltip indicator_url scale     unit interpolation  \\\n",
       "0      entity_set     NaN           NaN   NaN      NaN           NaN   \n",
       "1      entity_set     NaN           NaN   NaN      NaN           NaN   \n",
       "2      entity_set     NaN           NaN   NaN      NaN           NaN   \n",
       "3      entity_set     NaN           NaN   NaN      NaN           NaN   \n",
       "4      entity_set     NaN           NaN   NaN      NaN           NaN   \n",
       "5      entity_set     NaN           NaN   NaN      NaN           NaN   \n",
       "6   entity_domain     NaN           NaN   NaN      NaN           NaN   \n",
       "7      entity_set     NaN           NaN   NaN      NaN           NaN   \n",
       "8            time     NaN           NaN   NaN      NaN           NaN   \n",
       "9          string     NaN           NaN   NaN      NaN           NaN   \n",
       "10         string     NaN           NaN   NaN      NaN           NaN   \n",
       "11         string     NaN           NaN   NaN      NaN           NaN   \n",
       "12         string     NaN           NaN   NaN      NaN           NaN   \n",
       "13         string     NaN           NaN   NaN      NaN           NaN   \n",
       "14         string     NaN           NaN   NaN      NaN           NaN   \n",
       "15         string     NaN           NaN   NaN      NaN           NaN   \n",
       "16         string     NaN           NaN   NaN      NaN           NaN   \n",
       "17         string     NaN           NaN   NaN      NaN           NaN   \n",
       "18         string     NaN           NaN   NaN      NaN           NaN   \n",
       "19         string     NaN           NaN   NaN      NaN           NaN   \n",
       "20         string     NaN           NaN   NaN      NaN           NaN   \n",
       "21         string     NaN           NaN   NaN      NaN           NaN   \n",
       "22         string     NaN           NaN   NaN      NaN           NaN   \n",
       "23         string     NaN           NaN   NaN      NaN           NaN   \n",
       "24         string     NaN           NaN   NaN      NaN           NaN   \n",
       "25         string     NaN           NaN   NaN      NaN           NaN   \n",
       "26         string     NaN           NaN   NaN      NaN           NaN   \n",
       "27         string     NaN           NaN   NaN      NaN           NaN   \n",
       "28         string     NaN           NaN   NaN      NaN           NaN   \n",
       "29         string     NaN           NaN   NaN      NaN           NaN   \n",
       "30         string     NaN           NaN   NaN      NaN           NaN   \n",
       "31         string     NaN           NaN   NaN      NaN           NaN   \n",
       "32         string     NaN           NaN   NaN      NaN           NaN   \n",
       "33         string     NaN           NaN   NaN      NaN           NaN   \n",
       "34         string     NaN           NaN   NaN      NaN           NaN   \n",
       "35         string     NaN           NaN   NaN      NaN           NaN   \n",
       "36         string     NaN           NaN   NaN      NaN           NaN   \n",
       "37     entity_set     NaN           NaN   NaN      NaN           NaN   \n",
       "38        measure     NaN           NaN   lat  degrees           NaN   \n",
       "39        measure     NaN           NaN  long  degrees           NaN   \n",
       "40         string     NaN           NaN   NaN      NaN           NaN   \n",
       "41         string     NaN           NaN   NaN      NaN           NaN   \n",
       "42         string     NaN           NaN   NaN      NaN           NaN   \n",
       "43         string     NaN           NaN   NaN      NaN           NaN   \n",
       "44         string     NaN           NaN   NaN      NaN           NaN   \n",
       "\n",
       "                                             drill_up domain scales  \n",
       "0                                                 NaN    geo    NaN  \n",
       "1                                                 NaN    geo    NaN  \n",
       "2                                                 NaN    geo    NaN  \n",
       "3                                                 NaN    geo    NaN  \n",
       "4                                                 NaN    geo    NaN  \n",
       "5                                                 NaN    geo    NaN  \n",
       "6                                                 NaN    NaN    NaN  \n",
       "7   [geographic_regions, income_groups, landlocked...    geo    NaN  \n",
       "8                                                 NaN    NaN    NaN  \n",
       "9                                                 NaN    NaN    NaN  \n",
       "10                                                NaN    NaN    NaN  \n",
       "11                                                NaN    NaN    NaN  \n",
       "12                                                NaN    NaN    NaN  \n",
       "13                                                NaN    NaN    NaN  \n",
       "14                                                NaN    NaN    NaN  \n",
       "15                                                NaN    NaN    NaN  \n",
       "16                                                NaN    NaN    NaN  \n",
       "17                                                NaN    NaN    NaN  \n",
       "18                                                NaN    NaN    NaN  \n",
       "19                                                NaN    NaN    NaN  \n",
       "20                                                NaN    NaN    NaN  \n",
       "21                                                NaN    NaN    NaN  \n",
       "22                                                NaN    NaN    NaN  \n",
       "23                                                NaN    NaN    NaN  \n",
       "24                                                NaN    NaN    NaN  \n",
       "25                                                NaN    NaN    NaN  \n",
       "26                                                NaN    NaN    NaN  \n",
       "27                                                NaN    NaN    NaN  \n",
       "28                                                NaN    NaN    NaN  \n",
       "29                                                NaN    NaN    NaN  \n",
       "30                                                NaN    NaN    NaN  \n",
       "31                                                NaN    NaN    NaN  \n",
       "32                                                NaN    NaN    NaN  \n",
       "33                                                NaN    NaN    NaN  \n",
       "34                                                NaN    NaN    NaN  \n",
       "35                                                NaN    NaN    NaN  \n",
       "36                                                NaN    NaN    NaN  \n",
       "37                                                NaN    geo    NaN  \n",
       "38                                                NaN    NaN    NaN  \n",
       "39                                                NaN    NaN    NaN  \n",
       "40                                                NaN    NaN    NaN  \n",
       "41                                                NaN    NaN    NaN  \n",
       "42                                                NaN    NaN    NaN  \n",
       "43                                                NaN    NaN    NaN  \n",
       "44                                                NaN    NaN    NaN  "
      ]
     },
     "execution_count": 360,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 310,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "meta2 = json.load(open('./source/metadata.json'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 312,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'domain': [14000, 1400000000],\n",
       " 'scaleType': 'log',\n",
       " 'scales': ['linear', 'log'],\n",
       " 'sourceLink': 'http://www.gapminder.org/news/data-sources-dont-panic-end-poverty',\n",
       " 'use': 'indicator'}"
      ]
     },
     "execution_count": 312,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "meta2['indicatorsDB']['population']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 361,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "cc2 = pd.DataFrame([], columns=cc.columns)\n",
    "\n",
    "cc2.concept = rm.values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 362,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "cc2['name'] = cc2.concept\n",
    "cc2['concept_type'] = 'measure'\n",
    "\n",
    "cc2['indicator_url'] = cc2['concept'].apply(lambda x: meta2['indicatorsDB'][x[3:]]['sourceLink'])\n",
    "\n",
    "cc2['scales'] = cc2['concept'].apply(lambda x: meta2['indicatorsDB'][x[3:]]['scales'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 363,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>concept</th>\n",
       "      <th>name</th>\n",
       "      <th>concept_type</th>\n",
       "      <th>tooltip</th>\n",
       "      <th>indicator_url</th>\n",
       "      <th>scale</th>\n",
       "      <th>unit</th>\n",
       "      <th>interpolation</th>\n",
       "      <th>drill_up</th>\n",
       "      <th>domain</th>\n",
       "      <th>scales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>sg_population</td>\n",
       "      <td>sg_population</td>\n",
       "      <td>measure</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.gapminder.org/news/data-sources-don...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[linear, log]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>sg_gini</td>\n",
       "      <td>sg_gini</td>\n",
       "      <td>measure</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.gapminder.org/news/data-sources-don...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[linear]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>sg_gdp_p_cap_const_ppp2011_dollar</td>\n",
       "      <td>sg_gdp_p_cap_const_ppp2011_dollar</td>\n",
       "      <td>measure</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.gapminder.org/news/data-sources-don...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[log, linear]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             concept                               name  \\\n",
       "0                      sg_population                      sg_population   \n",
       "1                            sg_gini                            sg_gini   \n",
       "2  sg_gdp_p_cap_const_ppp2011_dollar  sg_gdp_p_cap_const_ppp2011_dollar   \n",
       "\n",
       "  concept_type tooltip                                      indicator_url  \\\n",
       "0      measure     NaN  http://www.gapminder.org/news/data-sources-don...   \n",
       "1      measure     NaN  http://www.gapminder.org/news/data-sources-don...   \n",
       "2      measure     NaN  http://www.gapminder.org/news/data-sources-don...   \n",
       "\n",
       "  scale unit interpolation drill_up domain         scales  \n",
       "0   NaN  NaN           NaN      NaN    NaN  [linear, log]  \n",
       "1   NaN  NaN           NaN      NaN    NaN       [linear]  \n",
       "2   NaN  NaN           NaN      NaN    NaN  [log, linear]  "
      ]
     },
     "execution_count": 363,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cc2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 368,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "c_all = pd.concat([dc, cc, cc2])\n",
    "c_all = c_all.rename(columns={'tooltip': 'description'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 369,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "c_all.to_csv('./output/ddf/ddf--concepts.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# data points"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "path = '../old/data/out/gw/indicators/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "fs = os.listdir(path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Murdered children 0-14 (per 100,000 people)'"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idt[idt['-t-ind'] == '0AgogXXPMARyldC1rcTI5OU50Mnc1djdkNXpnWUFrZmc']['-t-name'].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'murdered_children_0_14_per_100000_people'"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rename_col('0AgogXXPMARyldC1rcTI5OU50Mnc1djdkNXpnWUFrZmc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# now try to make data points"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rj8WsGGNXkijP447qnY5RLg : ———————————————————————\n",
      "rMF2H57_Vd8TdobvtNhYuwg : ———————————————————————\n",
      "tAwlNo30o6vVgDUk0EmDolQ : ———————————————————————\n",
      "tDkfgIt5oQ_ZJQ7IBmUvsUg : ———————————————————————\n",
      "tdKPTXS1U5Jn3qAQICk4-Vw : ———————————————————————\n",
      "teiT4rPfnWcd5mCldIm4Zhw : ———————————————————————\n",
      "tFc2tyrcWLcUyGhq6mTAbDg : ———————————————————————\n",
      "tFrUv6vnhhO4Jr1czdG_p0Q : ———————————————————————\n",
      "tIL264Nlw0AlIWlXuCWWNmQ : ———————————————————————\n",
      "tJwP0x54AZ-X-bGL-RebrpA : ———————————————————————\n",
      "tLiJLI_rimqrdQRWdamPPRQ : ———————————————————————\n",
      "tnDimTzGwU_BbmtOMHOUFFQ : ———————————————————————\n",
      "ts7TQEIg0amXovCDzQxV5EA : ———————————————————————\n",
      "tYvQLeBTuoKsyofvwGqS-9w : ———————————————————————\n"
     ]
    }
   ],
   "source": [
    "for f in fs[1:]:\n",
    "    p = os.path.join(path, f)\n",
    "    \n",
    "    col = f[:-5]\n",
    "    col_r = rename_col(col)\n",
    "  \n",
    "    d = pd.read_json(p)\n",
    "\n",
    "    if 'geo' in d.columns:\n",
    "        d['geo'] = d['geo'].apply(rename_geo)\n",
    "        d = d.rename(columns={col:col_r}, index=m)  # MODI\n",
    "        d.to_csv('./output/ddf/ddf--datapoints--'+col_r+'--by--geo--time.csv', index=False)\n",
    "    else:\n",
    "        print(col, ':', col_r)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "542"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(idt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "544"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(concepts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Other Todos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "en = open('/Users/semio/src/work/Gapminder/vizabi/.data/translation/en.json')\n",
    "enj = json.load(en)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'buttons/about': 'About',\n",
       " 'buttons/axes': 'X and Y',\n",
       " 'buttons/axesmc': 'X and Y',\n",
       " 'buttons/axis_x': 'X axis',\n",
       " 'buttons/axis_y': 'Y axis',\n",
       " 'buttons/color': 'Color',\n",
       " 'buttons/colors': 'Color',\n",
       " 'buttons/deselect': 'Deselect',\n",
       " 'buttons/desktop': 'Desktop',\n",
       " 'buttons/expand': 'Expand',\n",
       " 'buttons/find': 'Find',\n",
       " 'buttons/label': 'Labels',\n",
       " 'buttons/lock': 'Lock',\n",
       " 'buttons/more_options': 'Options',\n",
       " 'buttons/ok': 'OK',\n",
       " 'buttons/opacity': 'Opacity',\n",
       " 'buttons/opacityNonselect': 'Opacity of non-selected',\n",
       " 'buttons/opacityRegular': 'Regular opacity',\n",
       " 'buttons/presentation': 'Present',\n",
       " 'buttons/show': 'Show',\n",
       " 'buttons/showall': 'Show all',\n",
       " 'buttons/size': 'Size',\n",
       " 'buttons/size_label': 'Size',\n",
       " 'buttons/speed': 'Speed',\n",
       " 'buttons/stack': 'Stack',\n",
       " 'buttons/trails': 'Trails',\n",
       " 'buttons/unexpand': 'Restore',\n",
       " 'check/adaptMinMaxZoom': 'Follow bubbles with zoom',\n",
       " 'check/presentation': 'Increase text size for presentation',\n",
       " 'check/removeLabelBox': 'Remove label boxes',\n",
       " 'hints/bubbl/setmaxsize': 'Maximum bubble size:',\n",
       " 'hints/bubbl/setminsize': 'Minimum bubble size:',\n",
       " 'hints/bubbl/setsize': 'Bubble size:',\n",
       " 'hints/dataWarning': 'Data doubts',\n",
       " 'hints/dataWarning-little': 'Data',\n",
       " 'hints/max': 'max',\n",
       " 'hints/min': 'min',\n",
       " 'hints/mount/howtomerge': 'Merge mountains:',\n",
       " 'hints/mount/howtostack': 'Stack mountains:',\n",
       " 'hints/mount/logXstops': 'X-axis logarithmic stops:',\n",
       " 'hints/mount/maxYvalue': 'Maximum Y value:',\n",
       " 'hints/mount/onlyshowthefollowing': 'Hide all shapes except:',\n",
       " 'hints/mount/probe': 'X-line: extreme poverty at 1.85',\n",
       " 'hints/mount/xlimits': 'X-axis limits:',\n",
       " 'indicator/20120905_extreme_poverty_percent_people_below_125_a_day': 'Extreme poverty (% people below $1.25 a day) version 20120905',\n",
       " 'indicator/_indicators': 'Indicators',\n",
       " 'indicator/_properties': 'Properties',\n",
       " 'indicator/achievement': 'Achievement',\n",
       " 'indicator/adults_with_hiv_percent_age_15_49': 'Adults with HIV (%, age 15-49)',\n",
       " 'indicator/advanced_debt_trade': 'Advanced debt & trade',\n",
       " 'indicator/age_at_1st_marriage_women': 'Age at 1st marriage (women)',\n",
       " 'indicator/aged_15_24_employment_rate_percent': 'Aged 15-24 employment rate (%)',\n",
       " 'indicator/aged_15_24_unemployment_rate_percent': 'Aged 15-24 unemployment rate (%)',\n",
       " 'indicator/aged_15_64_labour_force_participation_rate_percent': 'Aged 15-64 labour force participation rate (%)',\n",
       " 'indicator/aged_15plus_employment_rate_percent': 'Aged 15+ employment rate (%)',\n",
       " 'indicator/aged_15plus_labour_force_participation_rate_percent': 'Aged 15+ labour force participation rate (%)',\n",
       " 'indicator/aged_15plus_unemployment_rate_percent': 'Aged 15+ unemployment rate (%)',\n",
       " 'indicator/aged_25_54_labour_force_participation_rate_percent': 'Aged 25-54 labour force participation rate (%)',\n",
       " 'indicator/aged_25_54_unemployment_rate_percent': 'Aged 25-54 unemployment rate (%)',\n",
       " 'indicator/aged_55plus_unemployment_rate_percent': 'Aged 55+ unemployment rate (%)',\n",
       " 'indicator/aged_65plus_labour_force_participation_rate_percent': 'Aged 65+ labour force participation rate (%)',\n",
       " 'indicator/agricultural_land_percent_of_land_area': 'Agricultural land (% of land area)',\n",
       " 'indicator/agricultural_water_withdrawal_percent_of_total': 'Agricultural water withdrawal (% of total)',\n",
       " 'indicator/agriculture_percent_of_gdp': 'Agriculture (% of GDP)',\n",
       " 'indicator/agriculture_workers_percent_of_labour_force': 'Agriculture workers (% of labour force)',\n",
       " 'indicator/aid_given': 'Aid given',\n",
       " 'indicator/aid_given_2007_us': 'Aid given (2007 US$)',\n",
       " 'indicator/aid_given_per_person_2007_us': 'Aid given per person (2007 US$)',\n",
       " 'indicator/aid_given_percent_of_gni': 'Aid given (% of GNI)',\n",
       " 'indicator/aid_received': 'Aid received',\n",
       " 'indicator/aid_received_per_person_current_us': 'Aid received per person (current US$)',\n",
       " 'indicator/aid_received_percent_of_gni': 'Aid received (% of GNI)',\n",
       " 'indicator/aid_received_total_us_inflation_adjusted': 'Aid received, total (US$, inflation-adjusted)',\n",
       " 'indicator/alcohol_consumption_per_adult_15plus_litres': 'Alcohol consumption per adult 15+ (litres)',\n",
       " 'indicator/all_causes_deaths_in_children_1_59_months_per_1000_births': 'All causes deaths in children 1-59 months (per 1,000 births)',\n",
       " 'indicator/all_causes_deaths_in_children_1_59_months_total_deaths': 'All causes deaths in children 1-59 months (total deaths)',\n",
       " 'indicator/all_causes_deaths_in_newborn_per_1000_births': 'All causes deaths in newborn (per 1,000 births)',\n",
       " 'indicator/all_causes_deaths_in_newborn_total_deaths': 'All causes deaths in newborn (total deaths)',\n",
       " 'indicator/all_forms_of_tb_deaths_per_100000_estimated': 'All forms of TB, deaths per 100,000 - estimated',\n",
       " 'indicator/all_forms_of_tb_detection_rate_percent': 'All forms of TB, detection rate (%) ',\n",
       " 'indicator/all_forms_of_tb_detection_rate_percent_dots_only': 'All forms of TB, detection rate (%) - DOTS only',\n",
       " 'indicator/all_forms_of_tb_existing_cases_per_100000_estimated': 'All forms of TB, existing cases per 100,000 - estimated',\n",
       " 'indicator/all_forms_of_tb_new_cases_per_100000_estimated': 'All forms of TB, new cases per 100,000 - estimated',\n",
       " 'indicator/all_forms_of_tb_new_cases_per_100000_reported': 'All forms of TB, new cases per 100,000 - reported',\n",
       " 'indicator/all_forms_of_tb_number_of_deaths_estimated': 'All forms of TB, number of deaths - estimated',\n",
       " 'indicator/all_forms_of_tb_number_of_existing_cases_estimated': 'All forms of TB, number of existing cases - estimated',\n",
       " 'indicator/all_forms_of_tb_number_of_new_cases_estimated': 'All forms of TB, number of new cases - estimated',\n",
       " 'indicator/all_forms_of_tb_number_of_new_cases_reported': 'All forms of TB, number of new cases - reported',\n",
       " 'indicator/alternative_child_mortality_data': 'Alternative child mortality data',\n",
       " 'indicator/alternative_demography_indicators': 'Alternative demography indicators',\n",
       " 'indicator/alternative_energy': 'Alternative energy',\n",
       " 'indicator/alternative_gdp_data': 'Alternative GDP data',\n",
       " 'indicator/alternative_gdp_per_capita_ppp_pwt_7_1': 'Alternative GDP per capita PPP, PWT 7.1',\n",
       " 'indicator/alternative_gdp_per_capita_ppp_pwt_8_0': 'Alternative GDP per capita PPP, PWT 8.0',\n",
       " 'indicator/alternative_gdp_per_capita_ppp_wb': 'Alternative GDP per capita PPP, WB',\n",
       " 'indicator/alternative_gdppercapita_ppp_inflation_adjusted_from_pwt': 'Alternative GDP/capita (PPP$, inflation-adjusted) from PWT',\n",
       " 'indicator/alternative_health_data': 'Alternative health data',\n",
       " 'indicator/alternative_other_data': 'Alternative other data',\n",
       " 'indicator/alternative_poverty_measures': 'Alternative poverty measures',\n",
       " 'indicator/alternative_poverty_percent_below_nationally_defined_poverty': 'Alternative poverty (% below nationally defined poverty line)',\n",
       " 'indicator/annual_hiv_deaths_number_all_ages': 'Annual HIV deaths (number, all ages)',\n",
       " 'indicator/armed_forces_personnel_percent_of_labor_force': 'Armed forces personnel (% of labor force)',\n",
       " 'indicator/armed_forces_personnel_total': 'Armed forces personnel, total',\n",
       " 'indicator/arms_exports_us_inflation_adjusted': 'Arms exports (US$, inflation-adjusted)',\n",
       " 'indicator/arms_imports_us_inflation_adjusted': 'Arms imports (US$, inflation adjusted)',\n",
       " 'indicator/art_coverage_percent_cd4_l_350': 'ART coverage % (CD4 < 350)',\n",
       " 'indicator/average_age_of_dollar_billionaires_years': 'Average age of dollar billionaires (years)',\n",
       " 'indicator/axis/_default': 'Constant',\n",
       " 'indicator/bad_teeth_per_child_12_yr': 'Bad teeth per child (12 yr)',\n",
       " 'indicator/battle_deaths_per_100_000': 'Battle deaths (per 100 000)',\n",
       " 'indicator/biomass_stock_in_forest_tons': 'Biomass stock in forest (tons)',\n",
       " 'indicator/birth_asphyxia_deaths_in_newborn_per_1000_births': 'Birth asphyxia deaths in newborn (per 1,000 births)',\n",
       " 'indicator/birth_asphyxia_deaths_in_newborn_total_deaths': 'Birth asphyxia deaths in newborn (total deaths)',\n",
       " 'indicator/births_attended_by_skilled_health_staff_percent_of_total': 'Births attended by skilled health staff (% of total)',\n",
       " 'indicator/blood_pressure_sbp_men_mmhg': 'Blood pressure (SBP), men, mmHg',\n",
       " 'indicator/blood_pressure_sbp_women_mmhg': 'Blood pressure (SBP), women, mmHg',\n",
       " 'indicator/body_mass_index_bmi_men_kgperm2': 'Body Mass Index (BMI), men, Kg/m2',\n",
       " 'indicator/body_mass_index_bmi_women_kgperm2': 'Body Mass Index (BMI), women, Kg/m2',\n",
       " 'indicator/both_sexes_by_age': 'Both sexes by age (%)',\n",
       " 'indicator/both_sexes_by_age_total': 'Both sexes by age (total)',\n",
       " 'indicator/breast_cancer_deaths_per_100000_women': 'Breast cancer, deaths per 100,000 women',\n",
       " 'indicator/breast_cancer_new_cases_per_100000_women': 'Breast cancer, new cases per 100,000 women',\n",
       " 'indicator/breast_cancer_number_of_female_deaths': 'Breast cancer, number of female deaths',\n",
       " 'indicator/breast_cancer_number_of_new_female_cases': 'Breast cancer, number of new female cases',\n",
       " 'indicator/broadband_subscribers': 'Broadband subscribers (total)',\n",
       " 'indicator/broadband_subscribers_per_100_people': 'Broadband subscribers (per 100 people)',\n",
       " 'indicator/burns_deaths_per_100000_people': 'Burns deaths (per 100,000 people)',\n",
       " 'indicator/cancer_female': 'Cancer, female',\n",
       " 'indicator/cancer_male': 'Cancer, male',\n",
       " 'indicator/car_deaths_per_100000_people': 'Car deaths (per 100,000 people)',\n",
       " 'indicator/cars_trucks_and_buses_per_1000_persons': 'Cars, trucks & buses per 1,000 persons',\n",
       " 'indicator/causes_of_child_deaths': 'Causes of child deaths',\n",
       " 'indicator/causes_of_newborn_deaths': 'Causes of newborn deaths',\n",
       " 'indicator/cell_phones_per_100_people': 'Cell phones (per 100 people)',\n",
       " 'indicator/cell_phones_total': 'Cell phones (total)',\n",
       " 'indicator/central_bank_discount_rate_annual_percent': 'Central bank discount rate (annual %)',\n",
       " 'indicator/cervical_cancer_deaths_per_100000_women': 'Cervical cancer, deaths per 100,000 women',\n",
       " 'indicator/cervical_cancer_new_cases_per_100000_women': 'Cervical cancer, new cases per 100,000 women',\n",
       " 'indicator/cervical_cancer_number_of_female_deaths': 'Cervical cancer, number of female deaths',\n",
       " 'indicator/cervical_cancer_number_of_new_female_cases': 'Cervical cancer, number of new female cases',\n",
       " 'indicator/child_mortality_0_5_year_olds_dying_per_1000_born': 'Child mortality (0-5 year-olds dying per 1,000 born)',\n",
       " 'indicator/child_mortality_0_5_year_olds_more_years_version_7': 'Child mortality (0-5 year-olds). More years. Version 7.',\n",
       " 'indicator/child_mortality_rate_per1000': 'Child mortality rate',\n",
       " 'indicator/children_and_elderly_per_100_adults': 'Children and elderly (per 100 adults)',\n",
       " 'indicator/children_out_of_school_primary': 'Children out of school, primary',\n",
       " 'indicator/children_out_of_school_primary_female': 'Children out of school, primary, female',\n",
       " 'indicator/children_out_of_school_primary_male': 'Children out of school, primary, male',\n",
       " 'indicator/children_per_woman_temporary_update': 'Children per woman, temporary update',\n",
       " 'indicator/children_per_woman_total_fertility': 'Children per woman (total fertility)',\n",
       " 'indicator/children_per_woman_total_fertility_with_projections': 'Children per woman (total fertility), with projections',\n",
       " 'indicator/cholesterol_fat_in_blood_men_mmolperl': 'Cholesterol (fat) in blood, men, mmol/L',\n",
       " 'indicator/cholesterol_fat_in_blood_women_mmolperl': 'Cholesterol (fat) in blood, women, mmol/L',\n",
       " 'indicator/co2_emissions_tonnes_per_person': 'CO2 emissions (tonnes per person)',\n",
       " 'indicator/co2_intensity_of_economic_output_kg_co2_per_2005_ppp_of_gdp': 'CO2 intensity of economic output (kg CO2 per 2005 PPP $ of GDP)',\n",
       " 'indicator/coal': 'Coal',\n",
       " 'indicator/coal_consumption_per_cap': 'Coal consumption, per person',\n",
       " 'indicator/coal_consumption_total': 'Coal consumption, total',\n",
       " 'indicator/colonandrectum_cancer_deaths_per_100000_men': 'Colon&Rectum cancer, deaths per 100,000 men',\n",
       " 'indicator/colonandrectum_cancer_deaths_per_100000_women': 'Colon&Rectum cancer, deaths per 100,000 women',\n",
       " 'indicator/colonandrectum_cancer_new_cases_per_100000_men': 'Colon&Rectum cancer, new cases per 100,000 men',\n",
       " 'indicator/colonandrectum_cancer_new_cases_per_100000_women': 'Colon&Rectum cancer, new cases per 100,000 women',\n",
       " 'indicator/colonandrectum_cancer_number_of_female_deaths': 'Colon&Rectum cancer, number of female deaths',\n",
       " 'indicator/colonandrectum_cancer_number_of_male_deaths': 'Colon&Rectum cancer, number of male deaths',\n",
       " 'indicator/colonandrectum_cancer_number_of_new_female_cases': 'Colon&Rectum cancer, number of new female cases',\n",
       " 'indicator/colonandrectum_cancer_number_of_new_male_cases': 'Colon&Rectum cancer, number of new male cases',\n",
       " 'indicator/color/_default': 'Single color',\n",
       " 'indicator/communication': 'Communication',\n",
       " 'indicator/congenital_deaths_in_newborn_per_1000_births': 'Congenital deaths in newborn (per 1,000 births)',\n",
       " 'indicator/congenital_deaths_in_newborn_total_deaths': 'Congenital deaths in newborn (total deaths)',\n",
       " 'indicator/contraceptive_use_percent_of_women_ages_15_49': 'Contraceptive use (% of women ages 15-49)',\n",
       " 'indicator/corruption_perception_index_cpi': 'Corruption Perception Index (CPI)',\n",
       " 'indicator/crude_birth_rate_births_per_1000_population': 'Crude birth rate (births per 1,000 population)',\n",
       " 'indicator/crude_death_rate_deaths_per_1000_population': 'Crude death rate (deaths per 1,000 population)',\n",
       " 'indicator/cumulative_co2_emissions_tonnes': 'Cumulative CO2 emissions (tonnes)',\n",
       " 'indicator/data_method_maternal_mortality': 'Data method - Maternal mortality',\n",
       " 'indicator/data_quality_children_per_woman': 'Data quality - Children per woman',\n",
       " 'indicator/data_quality_income_per_person': 'Data quality - Income per person',\n",
       " 'indicator/data_quality_life_expectancy': 'Data quality - Life expectancy',\n",
       " 'indicator/data_quality_population': 'Data quality - Population',\n",
       " 'indicator/data_quality_use_as_color': 'Data quality (use as color)',\n",
       " 'indicator/dead_kids_per_woman': 'Dead kids per woman',\n",
       " 'indicator/debt_servicing_costs_percent_of_exports_and_net_income_from_abroad': 'Debt servicing costs (% of exports and net income from abroad)',\n",
       " 'indicator/debt_to_foreigners_by_public_and_private_percent_of_gni': 'Debt to foreigners by public & private (% of GNI)',\n",
       " 'indicator/debt_trade': 'Debt & trade',\n",
       " 'indicator/democracy_score_use_as_color': 'Democracy score (use as color)',\n",
       " 'indicator/desalinated_water_produced_billion_cu_meters': 'Desalinated water produced (billion cu meters)',\n",
       " 'indicator/diarrhoeal_deaths_in_children_1_59_months_per_1000_births': 'Diarrhoeal deaths in children 1-59 months (per 1,000 births)',\n",
       " 'indicator/diarrhoeal_deaths_in_children_1_59_months_total_deaths': 'Diarrhoeal deaths in children 1-59 months (total deaths)',\n",
       " 'indicator/diarrhoeal_deaths_in_newborn_per_1000_births': 'Diarrhoeal deaths in newborn (per 1,000 births)',\n",
       " 'indicator/diarrhoeal_deaths_in_newborn_total_deaths': 'Diarrhoeal deaths in newborn (total deaths)',\n",
       " 'indicator/disasters': 'Disasters',\n",
       " 'indicator/dollar_billionaires_per_million_people': 'Dollar billionaires per million people',\n",
       " 'indicator/drought_affected_annual_number': 'Drought - affected annual number',\n",
       " 'indicator/drought_deaths_annual_number': 'Drought - deaths annual number',\n",
       " 'indicator/drownings_per_100000_people': 'Drownings (per 100,000 people)',\n",
       " 'indicator/dtp3_immunized_percent_of_one_year_olds': 'DTP3 immunized (% of one-year-olds)',\n",
       " 'indicator/earthquake_affected_annual_number': 'Earthquake - affected annual number',\n",
       " 'indicator/earthquake_deaths_annual_number': 'Earthquake - deaths annual number',\n",
       " 'indicator/economic_growth': 'Economic growth',\n",
       " 'indicator/economic_growth_over_the_past_10_years': 'Economic growth over the past 10 years',\n",
       " 'indicator/economic_situation': 'Economic situation',\n",
       " 'indicator/economical_infrastructure_aid_given_percent_of_aid': 'Economical infrastructure aid given (% of aid)',\n",
       " 'indicator/economy': 'Economy',\n",
       " 'indicator/education': 'Education',\n",
       " 'indicator/education_aid_given_percent_of_aid': 'Education aid given (% of aid)',\n",
       " 'indicator/electricity': 'Electricity',\n",
       " 'indicator/electricity_generation_per_person': 'Electricity generation, per person',\n",
       " 'indicator/electricity_generation_total': 'Electricity generation, total',\n",
       " 'indicator/electricity_use_per_person': 'Electricity use, per person',\n",
       " 'indicator/electricity_use_total': 'Electricity use, total',\n",
       " 'indicator/emissions': 'Emissions',\n",
       " 'indicator/employment_by_sector': 'Employment by sector',\n",
       " 'indicator/employment_by_status': 'Employment by status',\n",
       " 'indicator/employment_rate': 'Employment rate',\n",
       " 'indicator/energy': 'Energy',\n",
       " 'indicator/energy_from_solid_biofuels_percent': 'Energy from solid biofuels (%)',\n",
       " 'indicator/energy_production_per_person': 'Energy production, per person',\n",
       " 'indicator/energy_production_total': 'Energy production, total',\n",
       " 'indicator/energy_supply_per_person_toe': 'Energy supply per person TOE',\n",
       " 'indicator/energy_use_per_person': 'Energy use, per person',\n",
       " 'indicator/energy_use_total': 'Energy use, total',\n",
       " 'indicator/environment': 'Environment',\n",
       " 'indicator/epidemic_affected_annual_number': 'Epidemic - affected annual number',\n",
       " 'indicator/epidemic_deaths_annual_number': 'Epidemic - deaths annual number',\n",
       " 'indicator/estimate_or_projection_of_under_five_mortality_rate_from_ihme': 'Estimate or projection of under-five mortality rate, from IHME',\n",
       " 'indicator/expenditure_per_student_primary_percent_of_gdp_per_person': 'Expenditure per student, primary (% of GDP per person)',\n",
       " 'indicator/expenditure_per_student_secondary_percent_of_gdp_per_person': 'Expenditure per student, secondary (% of GDP per person)',\n",
       " 'indicator/expenditure_per_student_tertiary_percent_of_gdp_per_person': 'Expenditure per student, tertiary (% of GDP per person)',\n",
       " 'indicator/exports_percent_of_gdp': 'Exports (% of GDP)',\n",
       " 'indicator/exports_unit_value_index_2000100': 'Exports unit value (index, 2000=100)',\n",
       " 'indicator/external_debt_total_us_not_inflation_adjusted': 'External debt, total (US$, not inflation-adjusted)',\n",
       " 'indicator/extreme_poverty_percent_people_below_125_a_day': 'Extreme poverty (% people below $1.25 a day)',\n",
       " 'indicator/extreme_temperature_affected_annual_number': 'Extreme temperature - affected annual number',\n",
       " 'indicator/extreme_temperature_deaths_annual_number': 'Extreme temperature - deaths annual number',\n",
       " 'indicator/falls_deaths_per_100000_people': 'Falls, deaths (per 100,000 people)',\n",
       " 'indicator/families': 'families',\n",
       " 'indicator/family_workers_percent_of_labour_force': 'Family workers (% of labour force)',\n",
       " 'indicator/female_agriculture_workers_percent_of_female_labour_force': 'Female agriculture workers (% of female labour force)',\n",
       " 'indicator/female_by_age': 'Female by age (%)',\n",
       " 'indicator/female_family_workers_percent_of_female_labour_force': 'Female family workers (% of female labour force)',\n",
       " 'indicator/female_industry_workers_percent_of_female_labour_force': 'Female industry workers (% of female labour force)',\n",
       " 'indicator/female_long_term_unemployment_rate_percent': 'Female long term unemployment rate (%)',\n",
       " 'indicator/female_population_with_projections': 'Female population, with projections',\n",
       " 'indicator/female_salaried_workers_percent_of_female_labour_force': 'Female salaried workers (% of female labour force)',\n",
       " 'indicator/female_self_employed_percent_of_female_labour_force': 'Female self-employed (% of female labour force)',\n",
       " 'indicator/female_service_workers_percent_of_female_labour_force': 'Female service workers (% of female labour force)',\n",
       " 'indicator/females_aged_15_24_employment_rate_percent': 'Females aged 15-24 employment rate (%)',\n",
       " 'indicator/females_aged_15_24_unemployment_rate_percent': 'Females aged 15-24, unemployment rate (%)',\n",
       " 'indicator/females_aged_15_64_labour_force_participation_rate_percent': 'Females aged 15-64 labour force participation rate (%)',\n",
       " 'indicator/females_aged_15plus_employment_rate_percent': 'Females aged 15+ employment rate (%)',\n",
       " 'indicator/females_aged_15plus_labour_force_participation_rate_percent': 'Females aged 15+ labour force participation rate (%)',\n",
       " 'indicator/females_aged_15plus_unemployment_rate_percent': 'Females aged 15+, unemployment rate (%)',\n",
       " 'indicator/females_aged_25_54_labour_force_participation_rate_percent': 'Females aged 25-54 labour force participation rate (%)',\n",
       " 'indicator/females_aged_25_54_unemployment_rate_percent': 'Females aged 25-54, unemployment rate (%)',\n",
       " 'indicator/females_aged_55plus_unemployment_rate_percent': 'Females aged 55+, unemployment rate (%)',\n",
       " 'indicator/females_aged_65plus_labour_force_participation_rate_percent': 'Females aged 65+ labour force participation rate (%)',\n",
       " 'indicator/fertility_rate': 'Babies per woman',\n",
       " 'indicator/fixed_line_and_mobile_phone_subscribers_per_100_people': 'Fixed line and mobile phone subscribers (per 100 people)',\n",
       " 'indicator/flood_affected_annual_number': 'Flood - affected annual number',\n",
       " 'indicator/flood_deaths_annual_number': 'Flood - deaths annual number',\n",
       " 'indicator/food_supply_kilocalories_per_person_and_day': 'Food supply (kilocalories / person & day)',\n",
       " 'indicator/for_advanced_users': 'For advanced users',\n",
       " 'indicator/foreign_direct_investment_net_inflows_percent_of_gdp': 'Foreign direct investment, net inflows (% of GDP)',\n",
       " 'indicator/foreign_direct_investment_net_outflows_percent_of_gdp': 'Foreign direct investment, net outflows (% of GDP)',\n",
       " 'indicator/forest_area_sq_km': 'Forest area (sq. km)',\n",
       " 'indicator/forest_coverage_percent': 'Forest coverage (%)',\n",
       " 'indicator/forest_land_total_area_ha': 'Forest land, total area (ha)',\n",
       " 'indicator/forest_products_removal_per_ha': 'Forest products removal, per ha ($)',\n",
       " 'indicator/forest_products_removal_per_ha_dollar': 'Forest products removal, total ($)',\n",
       " 'indicator/forestry': 'Forestry',\n",
       " 'indicator/gdp_const_ppp2011_dollar': 'GDP total',\n",
       " 'indicator/gdp_p_cap_const_ppp2011_dollar': 'GDP per capita',\n",
       " 'indicator/gdp_per_capita_yearly_growth': 'GDP per capita, yearly growth',\n",
       " 'indicator/gdp_total_yearly_growth': 'GDP total, yearly growth',\n",
       " 'indicator/gdppercapita_growth_over_next_10_years': 'GDP/capita growth over next 10 years',\n",
       " 'indicator/gdppercapita_growth_percent_per_year': 'GDP/capita growth (% per year)',\n",
       " 'indicator/gdppercapita_us_inflation_adjusted': 'GDP/capita (US$, inflation-adjusted)',\n",
       " 'indicator/gdpperemployee_us_inflation_adjusted': 'GDP/employee (US$, inflation-adjusted)',\n",
       " 'indicator/gdpperworking_hour_us_inflation_adjusted': 'GDP/working hour (US$, inflation-adjusted)',\n",
       " 'indicator/gender_equality': 'Gender equality',\n",
       " 'indicator/geo': 'Individual',\n",
       " 'indicator/geo.category': 'Geo category',\n",
       " 'indicator/geo.name': 'Geo name',\n",
       " 'indicator/geo.region': 'Region',\n",
       " 'indicator/geography': 'Geography',\n",
       " 'indicator/geography_and_infrastructure': 'Geography and infrastructure',\n",
       " 'indicator/gini': 'Gini coefficient',\n",
       " 'indicator/gnipercapita_atlasmethod_current_us': 'GNI/capita (Atlas method, current US$)',\n",
       " 'indicator/gnipercapita_constant_2000_us': 'GNI/capita (constant 2000 US$)',\n",
       " 'indicator/gnipercapita_ppp_current_international': 'GNI/per capita (PPP, current international $)',\n",
       " 'indicator/government_and_society_aid_given_percent_of_aid': 'Government and society aid given (% of aid)',\n",
       " 'indicator/government_health_spending_of_total_gov_spending_percent': 'Government health spending of total gov. spending (%)',\n",
       " 'indicator/government_health_spending_per_person_international_dollar': 'Government health spending per person (international $)',\n",
       " 'indicator/government_health_spending_per_person_us': 'Government health spending per person (US$)',\n",
       " 'indicator/government_share_of_total_health_spending_percent': 'Government share of total health spending (%)',\n",
       " 'indicator/hdi_human_development_index': 'HDI (Human Development Index)',\n",
       " 'indicator/health': 'Health',\n",
       " 'indicator/health_aid_given_percent_of_aid': 'Health aid given (% of aid)',\n",
       " 'indicator/health_economics': 'Health Economics',\n",
       " 'indicator/hepb3_immunized_percent_of_one_year_olds': 'HepB3 immunized (% of one-year-olds)',\n",
       " 'indicator/hib3_immunized_percent_of_one_year_olds': 'Hib3 immunized (% of one-year-olds)',\n",
       " 'indicator/high_technology_exports_percent_of_manufactured_exports': 'High-technology exports (% of manufactured exports)',\n",
       " 'indicator/hiv': 'HIV',\n",
       " 'indicator/hiv_deaths_in_children_1_59_months_per_1000_births': 'HIV deaths in children 1-59 months (per 1,000 births)',\n",
       " 'indicator/hiv_deaths_in_children_1_59_months_total_deaths': 'HIV deaths in children 1-59 months (total deaths)',\n",
       " 'indicator/hourly_compensation_us': 'Hourly compensation (US$)',\n",
       " 'indicator/how_far_to_the_north': 'How far to the north',\n",
       " 'indicator/hydro': 'Hydro',\n",
       " 'indicator/hydro_power_generation_per_person': 'Hydroelectric electricity production, per person',\n",
       " 'indicator/hydro_power_generation_total': 'Hydroelectric electricity production, total',\n",
       " 'indicator/ifpri_underweight_children': 'IFPRI Underweight children',\n",
       " 'indicator/imports_percent_of_gdp': 'Imports (% of GDP)',\n",
       " 'indicator/imports_unit_value_index_2000100': 'Imports unit value (index, 2000=100)',\n",
       " 'indicator/improved_sanitation_overall_access_percent': 'Improved sanitation, overall access (%)',\n",
       " 'indicator/improved_sanitation_rural_access_percent': 'Improved sanitation, rural access (%)',\n",
       " 'indicator/improved_sanitation_urban_access_percent': 'Improved sanitation, urban access (%)',\n",
       " 'indicator/improved_water_source_overall_access_percent': 'Improved water source, overall access (%)',\n",
       " 'indicator/improved_water_source_rural_access_percent': 'Improved water source, rural access (%)',\n",
       " 'indicator/improved_water_source_urban_access_percent': 'Improved water source, urban access (%)',\n",
       " 'indicator/income_per_person_gdppercapita_ppp_inflation_adjusted': 'Income per person (GDP/capita, PPP$ inflation-adjusted)',\n",
       " 'indicator/income_per_person_long_series': 'Income per person, long series',\n",
       " 'indicator/income_per_person_with_projections': 'Income per person, with projections',\n",
       " 'indicator/income_share_of_2nd_poorest_20percent': 'Income share of 2nd poorest 20%',\n",
       " 'indicator/income_share_of_2nd_richest_20percent': 'Income share of 2nd richest 20%',\n",
       " 'indicator/income_share_of_middle_20percent': 'Income share of middle 20%',\n",
       " 'indicator/income_share_of_poorest_10percent': 'Income share of poorest 10%',\n",
       " 'indicator/income_share_of_poorest_20percent': 'Income share of poorest 20%',\n",
       " 'indicator/income_share_of_richest_10percent': 'Income share of richest 10%',\n",
       " 'indicator/income_share_of_richest_20percent': 'Income share of richest 20%',\n",
       " 'indicator/incomes_growth': 'Incomes & growth',\n",
       " 'indicator/industrial_water_withdrawal_percent_of_total': 'Industrial water withdrawal (% of total)',\n",
       " 'indicator/industry_percent_of_gdp': 'Industry (% of GDP)',\n",
       " 'indicator/industry_workers_percent_of_labour_force': 'Industry workers (% of labour force)',\n",
       " 'indicator/inequality': 'Income distribution and inequality',\n",
       " 'indicator/inequality_index_gini': 'Inequality index (Gini)',\n",
       " 'indicator/infant_mortality_rate_per_1000_births': 'Infant mortality (rate per 1,000 births)',\n",
       " 'indicator/infectious_tb_detection_rate_percent': 'Infectious TB, detection rate (%)',\n",
       " 'indicator/infectious_tb_detection_rate_percent_dots_only': 'Infectious TB, detection rate (%) - DOTS only',\n",
       " 'indicator/infectious_tb_new_cases_per_100000_estimated': 'Infectious TB, new cases per 100,000 - estimated',\n",
       " 'indicator/infectious_tb_new_cases_per_100000_reported': 'Infectious TB, new cases per 100,000 - reported',\n",
       " 'indicator/infectious_tb_number_of_new_cases_estimated': 'Infectious TB, number of new cases - estimated',\n",
       " 'indicator/infectious_tb_number_of_new_cases_reported': 'Infectious TB, number of new cases - reported',\n",
       " 'indicator/infectious_tb_treatment_dots_completed_percent': 'Infectious TB, treatment (DOTS) completed (%)',\n",
       " 'indicator/inflation_annual_percent': 'Inflation (annual %)',\n",
       " 'indicator/infrastructure': 'Infrastructure',\n",
       " 'indicator/injuries_and_accidents': 'Injuries and accidents',\n",
       " 'indicator/injury_deaths_by_gender_age_road_user': 'Injury deaths by gender, age, road user',\n",
       " 'indicator/injury_deaths_in_children_1_59_months_per_1000_births': 'Injury deaths in children 1-59 months (per 1,000 births)',\n",
       " 'indicator/injury_deaths_in_children_1_59_months_total_deaths': 'Injury deaths in children 1-59 months (total deaths)',\n",
       " 'indicator/internal_renewable_water_cu_meters_per_person': 'Internal renewable water (cu meters per person)',\n",
       " 'indicator/internet_users_per_100_people': 'Internet users (per 100 people)',\n",
       " 'indicator/internet_users_total_number': 'Internet users (total)',\n",
       " 'indicator/investments_percent_of_gdp': 'Investments (% of GDP)',\n",
       " 'indicator/labour_force_participation': 'Labour force participation',\n",
       " 'indicator/life_expectancy': 'Life expectancy',\n",
       " 'indicator/life_expectancy_at_birth_data_from_ihme': 'Life expectancy at birth, data from IHME',\n",
       " 'indicator/life_expectancy_at_birth_with_projections': 'Life expectancy at birth, with projections',\n",
       " 'indicator/life_expectancy_female': 'Life expectancy, female',\n",
       " 'indicator/life_expectancy_male': 'Life expectancy, male',\n",
       " 'indicator/life_expectancy_years': 'Life expectancy (years)',\n",
       " 'indicator/literacy': 'Literacy',\n",
       " 'indicator/literacy_rate_adult_female_percent_of_females_ages_15_above': 'Literacy rate, adult female (% of females ages 15 and above)',\n",
       " 'indicator/literacy_rate_adult_male_percent_of_males_ages_15_and_above': 'Literacy rate, adult male (% of males ages 15 and above)',\n",
       " 'indicator/literacy_rate_adult_total_percent_of_people_ages_15_and_above': 'Literacy rate, adult total (% of people ages 15 and above)',\n",
       " 'indicator/literacy_rate_youth_female_percent_of_females_ages_15_24': 'Literacy rate, youth female (% of females ages 15-24)',\n",
       " 'indicator/literacy_rate_youth_male_percent_of_males_ages_15_24': 'Literacy rate, youth male (% of males ages 15-24)',\n",
       " 'indicator/literacy_rate_youth_total_percent_of_people_ages_15_24': 'Literacy rate, youth total (% of people ages 15-24)',\n",
       " 'indicator/liver_cancer_deaths_per_100000_men': 'Liver cancer, deaths per 100,000 men',\n",
       " 'indicator/liver_cancer_deaths_per_100000_women': 'Liver cancer, deaths per 100,000 women',\n",
       " 'indicator/liver_cancer_new_cases_per_100000_men': 'Liver cancer, new cases per 100,000 men',\n",
       " 'indicator/liver_cancer_new_cases_per_100000_women': 'Liver cancer, new cases per 100,000 women',\n",
       " 'indicator/liver_cancer_number_of_female_deaths': 'Liver cancer, number of female deaths',\n",
       " 'indicator/liver_cancer_number_of_male_deaths': 'Liver cancer, number of male deaths',\n",
       " 'indicator/liver_cancer_number_of_new_female_cases': 'Liver cancer, number of new female cases',\n",
       " 'indicator/liver_cancer_number_of_new_male_cases': 'Liver cancer, number of new male cases',\n",
       " 'indicator/long_term_unemployment_rate_percent': 'Long term unemployment rate (%)',\n",
       " 'indicator/lung_cancer_deaths_per_100000_men': 'Lung cancer, deaths per 100,000 men',\n",
       " 'indicator/lung_cancer_deaths_per_100000_women': 'Lung cancer, deaths per 100,000 women',\n",
       " 'indicator/lung_cancer_new_cases_per_100000_men': 'Lung cancer, new cases per 100,000 men',\n",
       " 'indicator/lung_cancer_new_cases_per_100000_women': 'Lung cancer, new cases per 100,000 women',\n",
       " 'indicator/lung_cancer_number_of_female_deaths': 'Lung cancer, number of female deaths',\n",
       " 'indicator/lung_cancer_number_of_male_deaths': 'Lung cancer, number of male deaths',\n",
       " 'indicator/lung_cancer_number_of_new_female_cases': 'Lung cancer, number of new female cases',\n",
       " 'indicator/lung_cancer_number_of_new_male_cases': 'Lung cancer, number of new male cases',\n",
       " 'indicator/malaria': 'Malaria',\n",
       " 'indicator/malaria_cases_per_100000_reported': 'Malaria cases per 100,000 - reported',\n",
       " 'indicator/malaria_deaths_in_children_1_59_months_per_1000_births': 'Malaria deaths in children 1-59 months (per 1,000 births)',\n",
       " 'indicator/malaria_deaths_in_children_1_59_months_total_deaths': 'Malaria deaths in children 1-59 months (total deaths)',\n",
       " 'indicator/malaria_deaths_per_100000_reported': 'Malaria deaths per 100,000 - reported',\n",
       " 'indicator/malaria_number_of_cases_reported': 'Malaria number of cases - reported',\n",
       " 'indicator/malaria_number_of_deaths_reported': 'Malaria number of deaths - reported',\n",
       " 'indicator/male_agriculture_workers_percent_of_male_labour_force': 'Male agriculture workers (% of male labour force)',\n",
       " 'indicator/male_by_age': 'Male by age (%)',\n",
       " 'indicator/male_family_workers_percent_of_male_labour_force': 'Male family workers (% of male labour force)',\n",
       " 'indicator/male_industry_workers_percent_of_male_labour_force': 'Male industry workers (% of male labour force)',\n",
       " 'indicator/male_long_term_unemployment_rate_percent': 'Male long term unemployment rate (%)',\n",
       " 'indicator/male_population_with_projections': 'Male population, with projections',\n",
       " 'indicator/male_salaried_workers_percent_of_male_labour_force': 'Male salaried workers (% of male labour force)',\n",
       " 'indicator/male_self_employed_percent_of_male_labour_force': 'Male self-employed (% of male labour force)',\n",
       " 'indicator/male_service_workers_percent_of_male_labour_force': 'Male service workers (% of male labour force)',\n",
       " 'indicator/males_aged_15_24_employment_rate_percent': 'Males aged 15-24 employment rate (%)',\n",
       " 'indicator/males_aged_15_24_unemployment_rate_percent': 'Males aged 15-24, unemployment rate (%)',\n",
       " 'indicator/males_aged_15_64_labour_force_participation_rate_percent': 'Males aged 15-64 labour force participation rate (%)',\n",
       " 'indicator/males_aged_15plus_employment_rate_percent': 'Males aged 15+ employment rate (%)',\n",
       " 'indicator/males_aged_15plus_labour_force_participation_rate_percent': 'Males aged 15+ labour force participation rate (%)',\n",
       " 'indicator/males_aged_15plus_unemployment_rate_percent': 'Males aged 15+, unemployment rate (%)',\n",
       " 'indicator/males_aged_25_54_labour_force_participation_rate_percent': 'Males aged 25-54 labour force participation rate (%)',\n",
       " 'indicator/males_aged_25_54_unemployment_rate_percent': 'Males aged 25-54, unemployment rate (%)',\n",
       " 'indicator/males_aged_55plus_unemployment_rate_percent': 'Males aged 55+, unemployment rate (%)',\n",
       " 'indicator/males_aged_65plus_labour_force_participation_rate_percent': 'Males aged 65+ labour force participation rate (%)',\n",
       " 'indicator/malnutrition_weight_for_age_percent_of_children_under_5': 'Malnutrition, weight for age (% of children under 5)',\n",
       " 'indicator/market_value_of_listed_companies_percent_of_gdp': 'Market value of listed companies (% of GDP)',\n",
       " 'indicator/maternal_deaths_lifetime_risk_per_1000': 'Maternal deaths, lifetime risk (per 1,000)',\n",
       " 'indicator/maternal_deaths_total_number': 'Maternal deaths, total number',\n",
       " 'indicator/maternal_health': 'Maternal health',\n",
       " 'indicator/maternal_mortality_ratio_per_100000_live_births': 'Maternal mortality ratio (per 100,000 live births)',\n",
       " 'indicator/maternal_mortality_ratio_who': 'Maternal mortality ratio WHO',\n",
       " 'indicator/math_achievement_4th_grade': 'Math achievement - 4th grade',\n",
       " 'indicator/math_achievement_8th_grade': 'Math achievement - 8th grade',\n",
       " 'indicator/mcv_immunized_percent_of_one_year_olds': 'MCV immunized (% of one-year-olds)',\n",
       " 'indicator/mean_years_in_school': 'Mean years in school',\n",
       " 'indicator/mean_years_in_school_men_25_to_34_years': 'Mean years in school (men 25 to 34 years)',\n",
       " 'indicator/mean_years_in_school_men_25_years_and_older': 'Mean years in school (men 25 years and older)',\n",
       " 'indicator/mean_years_in_school_women_25_to_34_years': 'Mean years in school (women 25 to 34 years)',\n",
       " 'indicator/mean_years_in_school_women_25_years_and_older': 'Mean years in school (women 25 years and older)',\n",
       " 'indicator/mean_years_in_school_women_of_reproductive_age_15_to_44': 'Mean years in school (women of reproductive age 15 to 44)',\n",
       " 'indicator/mean_years_in_school_women_percent_men_25_to_34_years': 'Mean years in school (women % men, 25 to 34 years)',\n",
       " 'indicator/measles_deaths_in_children_1_59_months_per_1000_births': 'Measles deaths in children 1-59 months (per 1,000 births)',\n",
       " 'indicator/measles_deaths_in_children_1_59_months_total_deaths': 'Measles deaths in children 1-59 months (total deaths)',\n",
       " 'indicator/median_age_years': 'Median age (years)',\n",
       " 'indicator/medical_doctors_per_1000_people': 'Medical Doctors (per 1,000 people)',\n",
       " 'indicator/meningitis_deaths_in_children_1_59_months_per_1000_births': 'Meningitis deaths in children 1-59 months (per 1,000 births)',\n",
       " 'indicator/meningitis_deaths_in_children_1_59_months_total_deaths': 'Meningitis deaths in children 1-59 months (total deaths)',\n",
       " 'indicator/mental_health': 'Mental health',\n",
       " 'indicator/merchandise_trade_percent_of_gdp': 'Merchandise trade (% of GDP)',\n",
       " 'indicator/military_expenditure_percent_of_gdp': 'Military expenditure (% of GDP)',\n",
       " 'indicator/motorcycle_deaths_per_100000_people': 'Motorcycle deaths (per 100,000 people)',\n",
       " 'indicator/multisector_cross_cutting_aid_given_percent_of_aid': 'Multisector cross-cutting aid given (% of aid)',\n",
       " 'indicator/municipal_water_withdrawal_cu_meters_per_person': 'Municipal water withdrawal (cu meters per person)',\n",
       " 'indicator/municipal_water_withdrawal_percent_of_total': 'Municipal water withdrawal (% of total)',\n",
       " 'indicator/murder_per_100000_people': 'Murder (per 100,000 people)',\n",
       " 'indicator/murder_total_deaths': 'Murder (total deaths)',\n",
       " 'indicator/murdered_15_29_per_100000_people': 'Murdered 15-29 (per 100,000 people)',\n",
       " 'indicator/murdered_30_44_per_100000_people': 'Murdered 30-44, (per 100,000 people)',\n",
       " 'indicator/murdered_45_59_per_100000_people': 'Murdered 45-59 (per 100,000 people)',\n",
       " 'indicator/murdered_60plus_per_100000_people': 'Murdered 60+ (per 100,000 people)',\n",
       " 'indicator/murdered_children_0_14_per_100000_people': 'Murdered children 0-14 (per 100,000 people)',\n",
       " 'indicator/murdered_men_per_100000_people': 'Murdered men (per 100,000 people)',\n",
       " 'indicator/murdered_women_per_100000_people': 'Murdered women (per 100,000 people)',\n",
       " 'indicator/natural_gas': 'Natural gas',\n",
       " 'indicator/natural_gas_production_per_person': 'Natural gas production, per person',\n",
       " 'indicator/natural_gas_production_total': 'Natural gas production, total',\n",
       " 'indicator/natural_gas_proved_reserves_total': 'Natural gas proved reserves, total',\n",
       " 'indicator/natural_gas_proven_reserves_per_person': 'Natural gas proven reserves, per person',\n",
       " 'indicator/ncd_deaths_in_children_1_59_months_per_1000_births': 'NCD deaths in children 1-59 months (per 1,000 births)',\n",
       " 'indicator/ncd_deaths_in_children_1_59_months_total_deaths': 'NCD deaths in children 1-59 months (total deaths)',\n",
       " 'indicator/net_barter_terms_of_trade_2000_100': 'Net barter terms of trade (2000 = 100)',\n",
       " 'indicator/new_births_total_number_estimated': 'New births (total number, estimated)',\n",
       " 'indicator/newborn_deaths': 'Newborn deaths',\n",
       " 'indicator/newborn_infants': 'Newborn & Infants',\n",
       " 'indicator/newborn_mortality_rate_per_1000': 'Newborn mortality rate per 1000',\n",
       " 'indicator/newly_hiv_infected_number_all_ages': 'Newly HIV infected (number, all ages)',\n",
       " 'indicator/newly_hiv_infected_percent_age_15_49': 'Newly HIV infected (%, age 15-49)',\n",
       " 'indicator/nuclear': 'Nuclear',\n",
       " 'indicator/nuclear_power_generation_per_person': 'Nuclear electricity production, per person',\n",
       " 'indicator/nuclear_power_generation_total': 'Nuclear electricity production, total',\n",
       " 'indicator/number_of_child_deaths': 'Number of child deaths',\n",
       " 'indicator/number_of_people_in_poverty': 'Number of people in poverty',\n",
       " 'indicator/nutrition': 'Nutrition',\n",
       " 'indicator/oil': 'Oil',\n",
       " 'indicator/oil_consumption_per_cap': 'Oil consumption, per person',\n",
       " 'indicator/oil_consumption_total': 'Oil consumption, total',\n",
       " 'indicator/oil_production_per_person': 'Oil production, per person',\n",
       " 'indicator/oil_production_total': 'Oil production, total',\n",
       " 'indicator/oil_proved_reserves_total': 'Oil proved reserves, total',\n",
       " 'indicator/oil_proven_reserves_per_person': 'Oil proven reserves, per person',\n",
       " 'indicator/old_version_of_income_per_person_version_3': 'Old version of Income per person (version 3)',\n",
       " 'indicator/old_version_of_income_per_person_version_8': 'Old version of Income per person (version 8)',\n",
       " 'indicator/other_deaths_in_newborn_per_1000_births': 'Other deaths in newborn (per 1,000 births)',\n",
       " 'indicator/other_deaths_in_newborn_total_deaths': 'Other deaths in newborn (total deaths)',\n",
       " 'indicator/other_infections_deaths_in_children_1_59_months_per_1000_birt': 'Other infections deaths in children 1-59 months (per 1,000 births)',\n",
       " 'indicator/other_infections_deaths_in_children_1_59_months_total_deaths': 'Other infections deaths in children 1-59 months (total deaths)',\n",
       " 'indicator/other_social_services_aid_given_percent_of_aid': 'Other social services aid given (% of aid)',\n",
       " 'indicator/out_of_pocket_share_of_total_health_spending_percent': 'Out-of-pocket share of total health spending (%)',\n",
       " 'indicator/pab_immunized_percent_of_newborns': 'PAB immunized (% of newborns)',\n",
       " 'indicator/patent_applications_total': 'Patent applications (total)',\n",
       " 'indicator/patents_granted_total': 'Patents granted (total)',\n",
       " 'indicator/patents_in_force_total': 'Patents in force (total)',\n",
       " 'indicator/people_living_with_hiv_number_all_ages': 'People living with HIV (number, all ages)',\n",
       " 'indicator/personal_computers_per_100_people': 'Personal computers (per 100 people)',\n",
       " 'indicator/personal_computers_total': 'Personal computers (total)',\n",
       " 'indicator/pertussis_deaths_in_children_1_59_months_per_1000_births': 'Pertussis deaths in children 1-59 months (per 1,000 births)',\n",
       " 'indicator/pertussis_deaths_in_children_1_59_months_total_deaths': 'Pertussis deaths in children 1-59 months (total deaths)',\n",
       " 'indicator/plane_crash_affected_annual_number': 'Plane crash - affected annual number',\n",
       " 'indicator/plane_crash_deaths_annual_number': 'Plane crash - deaths annual number',\n",
       " 'indicator/planted_forest_area_ha': 'Planted forest area (ha)',\n",
       " 'indicator/pneumonia_deaths_in_children_1_59_months_per_1000_births': 'Pneumonia deaths in children 1-59 months (per 1,000 births)',\n",
       " 'indicator/pneumonia_deaths_in_children_1_59_months_total_deaths': 'Pneumonia deaths in children 1-59 months (total deaths)',\n",
       " 'indicator/pneumonia_deaths_in_newborn_per_1000_births': 'Pneumonia deaths in newborn (per 1,000 births)',\n",
       " 'indicator/pneumonia_deaths_in_newborn_total_deaths': 'Pneumonia deaths in newborn (total deaths)',\n",
       " 'indicator/poisonings_deaths_per_100000_people': 'Poisonings, deaths (per 100,000 people)',\n",
       " 'indicator/population': 'Population',\n",
       " 'indicator/population_aged_0_4_years_both_sexes_percent': 'Population aged 0-4 years, both sexes (%)',\n",
       " 'indicator/population_aged_0_4_years_female_percent': 'Population aged 0-4 years, female (%)',\n",
       " 'indicator/population_aged_0_4_years_male_percent': 'Population aged 0-4 years, male (%)',\n",
       " 'indicator/population_aged_0_4_years_total_number': 'Population aged 0-4 years (total number)',\n",
       " 'indicator/population_aged_10_14_years_both_sexes_percent': 'Population aged 10-14 years, both sexes (%)',\n",
       " 'indicator/population_aged_10_14_years_female_percent': 'Population aged 10-14 years, female (%)',\n",
       " 'indicator/population_aged_10_14_years_male_percent': 'Population aged 10-14 years, male (%)',\n",
       " 'indicator/population_aged_10_14_years_total_number': 'Population aged 10-14 years (total number)',\n",
       " 'indicator/population_aged_15_19_years_both_sexes_percent': 'Population aged 15-19 years, both sexes (%)',\n",
       " 'indicator/population_aged_15_19_years_female_percent': 'Population aged 15-19 years, female (%)',\n",
       " 'indicator/population_aged_15_19_years_male_percent': 'Population aged 15-19 years, male (%)',\n",
       " 'indicator/population_aged_15_19_years_total_number': 'Population aged 15-19 years (total number)',\n",
       " 'indicator/population_aged_20_39_years_both_sexes_percent': 'Population aged 20-39 years, both sexes (%)',\n",
       " 'indicator/population_aged_20_39_years_female_percent': 'Population aged 20-39 years, female (%)',\n",
       " 'indicator/population_aged_20_39_years_male_percent': 'Population aged 20-39 years, male (%)',\n",
       " 'indicator/population_aged_20_39_years_total_number': 'Population aged 20-39 years (total number)',\n",
       " 'indicator/population_aged_40_59_years_both_sexes_percent': 'Population aged 40-59 years, both sexes (%)',\n",
       " 'indicator/population_aged_40_59_years_female_percent': 'Population aged 40-59 years, female (%)',\n",
       " 'indicator/population_aged_40_59_years_male_percent': 'Population aged 40-59 years, male (%)',\n",
       " 'indicator/population_aged_40_59_years_total_number': 'Population aged 40-59 years (total number)',\n",
       " 'indicator/population_aged_5_9_years_both_sexes_percent': 'Population aged 5-9 years, both sexes (%)',\n",
       " 'indicator/population_aged_5_9_years_female_percent': 'Population aged 5-9 years, female (%)',\n",
       " 'indicator/population_aged_5_9_years_male_percent': 'Population aged 5-9 years, male (%)',\n",
       " 'indicator/population_aged_5_9_years_total_number': 'Population aged 5-9 years (total number)',\n",
       " 'indicator/population_aged_60plus_years_both_sexes_percent': 'Population aged 60+ years, both sexes (%)',\n",
       " 'indicator/population_aged_60plus_years_female_percent': 'Population aged 60+ years, female (%)',\n",
       " 'indicator/population_aged_60plus_years_male_percent': 'Population aged 60+ years, male (%)',\n",
       " 'indicator/population_aged_60plus_years_total_number': 'Population aged 60+ years (total number)',\n",
       " 'indicator/population_density_per_square_km': 'Population density (per square km)',\n",
       " 'indicator/population_growth': 'Population growth',\n",
       " 'indicator/population_growth_annual_percent': 'Population growth (annual %)',\n",
       " 'indicator/population_growth_annual_percent_with_projections': 'Population growth (annual %), with projections',\n",
       " 'indicator/population_in_urban_agglomerations_m_1_million_percent_of_total': 'Population in urban agglomerations > 1 million (% of total population)',\n",
       " 'indicator/population_policies_aid_given_percent_of_aid': 'Population policies aid given (% of aid)',\n",
       " 'indicator/population_total': 'Population, total',\n",
       " 'indicator/poverty_inequality': 'Poverty & inequality',\n",
       " 'indicator/poverty_percent_people_below_2_a_day': 'Poverty (% people below $2 a day)',\n",
       " 'indicator/prematurity_deaths_in_newborn_per_1000_births': 'Prematurity deaths in newborn (per 1,000 births)',\n",
       " 'indicator/prematurity_deaths_in_newborn_total_deaths': 'Prematurity deaths in newborn (total deaths)',\n",
       " 'indicator/present_value_of_debt_percent_of_gni': 'Present value of debt (% of GNI)',\n",
       " 'indicator/primary_completion_rate_total_percent_of_relevant_age_group': 'Primary completion rate, total (% of relevant age group)',\n",
       " 'indicator/primary_forest_area_ha': 'Primary forest area (ha)',\n",
       " 'indicator/primary_school_completion_percent_of_boys': 'Primary school completion (% of boys)',\n",
       " 'indicator/primary_school_completion_percent_of_girls': 'Primary school completion (% of girls)',\n",
       " 'indicator/private_share_of_total_health_spending_percent': 'Private share of total health spending (%)',\n",
       " 'indicator/privately_owned_forest_land_percent': 'Privately owned forest land (%)',\n",
       " 'indicator/privately_owned_other_wooded_land_percent': 'Privately owned other wooded land (%)',\n",
       " 'indicator/production_sector_aid_given_percent_of_aid': 'Production sector aid given (% of aid)',\n",
       " 'indicator/projections': 'Projections',\n",
       " 'indicator/prostate_cancer_deaths_per_100000_men': 'Prostate cancer, deaths per 100,000 men',\n",
       " 'indicator/prostate_cancer_new_cases_per_100000_men': 'Prostate cancer, new cases per 100,000 men',\n",
       " 'indicator/prostate_cancer_number_of_male_deaths': 'Prostate cancer, number of male deaths',\n",
       " 'indicator/prostate_cancer_number_of_new_male_cases': 'Prostate cancer, number of new male cases',\n",
       " 'indicator/pump_price_for_gasoline_us_per_liter': 'Pump price for gasoline (US$ per liter)',\n",
       " 'indicator/ratio_of_girls_to_boys_in_primary_and_secondary_education_perc': 'Ratio of girls to boys in primary and secondary education (%)',\n",
       " 'indicator/ratio_of_young_literate_females_to_males_percent_ages_15_24': 'Ratio of young literate females to males (% ages 15-24)',\n",
       " 'indicator/renewable_water_cu_meters_per_person': 'Renewable water (cu meters per person)',\n",
       " 'indicator/residential_electricity_use_per_person': 'Residential electricity use, per person',\n",
       " 'indicator/residential_electricity_use_total': 'Residential electricity use, total',\n",
       " 'indicator/residential_energy_use_percent': 'Residential energy use (%)',\n",
       " 'indicator/risk_factors': 'Risk factors',\n",
       " 'indicator/roads_paved_percent_of_total_roads': 'Roads, paved (% of total roads)',\n",
       " 'indicator/rural_poverty_percent_rural_people_below_national_rural': 'Rural poverty (% rural people below national rural poverty line)',\n",
       " 'indicator/salaried_workers_percent_of_labour_force': 'Salaried workers (% of labour force)',\n",
       " 'indicator/sanitation': 'Sanitation',\n",
       " 'indicator/school_enrolment': 'School enrolment',\n",
       " 'indicator/schooling_cost': 'Schooling cost',\n",
       " 'indicator/sectors': 'Sectors',\n",
       " 'indicator/self_employed_percent_of_labour_force': 'Self-employed (% of labour force)',\n",
       " 'indicator/sepsis_deaths_in_newborn_per_1000_births': 'Sepsis deaths in newborn (per 1,000 births)',\n",
       " 'indicator/sepsis_deaths_in_newborn_total_deaths': 'Sepsis deaths in newborn (total deaths)',\n",
       " 'indicator/service_workers_percent_of_labour_force': 'Service workers (% of labour force)',\n",
       " 'indicator/services_percent_of_gdp': 'Services (% of GDP)',\n",
       " 'indicator/sex_ratio': 'Sex ratio',\n",
       " 'indicator/sex_ratio_0_14_years': 'Sex ratio (0-14 years)',\n",
       " 'indicator/sex_ratio_15_24_years': 'Sex ratio (15-24 years)',\n",
       " 'indicator/sex_ratio_15_49_years': 'Sex ratio (15-49 years)',\n",
       " 'indicator/sex_ratio_above_50_years': 'Sex ratio (above 50 years)',\n",
       " 'indicator/sex_ratio_all_age_groups': 'Sex ratio (all age groups)',\n",
       " 'indicator/size': 'Big or mini',\n",
       " 'indicator/size/_default': 'One size',\n",
       " 'indicator/smoking_adults_percent_of_population_over_age_15': 'Smoking adults (% of population over age 15)',\n",
       " 'indicator/smoking_men_percent_of_men_over_age_15': 'Smoking men (% of men over age 15) ',\n",
       " 'indicator/smoking_women_percent_of_women_over_age_15': 'Smoking women (% of women over age 15) ',\n",
       " 'indicator/society': 'Society',\n",
       " 'indicator/stillbirths_per_1000_births': 'Stillbirths (per 1,000 births)',\n",
       " 'indicator/stomach_cancer_deaths_per_100000_men': 'Stomach cancer, deaths per 100,000 men',\n",
       " 'indicator/stomach_cancer_deaths_per_100000_women': 'Stomach cancer, deaths per 100,000 women',\n",
       " 'indicator/stomach_cancer_new_cases_per_100000_men': 'Stomach cancer, new cases per 100,000 men',\n",
       " 'indicator/stomach_cancer_new_cases_per_100000_women': 'Stomach cancer, new cases per 100,000 women',\n",
       " 'indicator/stomach_cancer_number_of_female_deaths': 'Stomach cancer, number of female deaths',\n",
       " 'indicator/stomach_cancer_number_of_male_deaths': 'Stomach cancer, number of male deaths',\n",
       " 'indicator/stomach_cancer_number_of_new_female_cases': 'Stomach cancer, number of new female cases',\n",
       " 'indicator/stomach_cancer_number_of_new_male_cases': 'Stomach cancer, number of new male cases',\n",
       " 'indicator/storm_affected_annual_number': 'Storm - affected annual number',\n",
       " 'indicator/storm_deaths_annual_number': 'Storm - deaths annual number',\n",
       " 'indicator/subsistence_incomes_per_person': 'Subsistence incomes per person',\n",
       " 'indicator/sugar_per_person_g_per_day': 'Sugar per person (g per day)',\n",
       " 'indicator/suicide_age_0_14_per_100000_people': 'Suicide age 0-14 (per 100,000 people)',\n",
       " 'indicator/suicide_age_15_29_per_100000_people': 'Suicide age 15-29 (per 100,000 people)',\n",
       " 'indicator/suicide_age_30_44_per_100000_people': 'Suicide age 30-44 (per 100,000 people)',\n",
       " 'indicator/suicide_age_45_59_per_100000_people': 'Suicide age 45-59 (per 100,000 people)',\n",
       " 'indicator/suicide_age_60plus_per_100000_people': 'Suicide age 60+ (per 100,000 people)',\n",
       " 'indicator/suicide_men_per_100000_people': 'Suicide men (per 100,000 people)',\n",
       " 'indicator/suicide_per_100000_people': 'Suicide (per 100,000 people)',\n",
       " 'indicator/suicide_total_deaths': 'Suicide (total deaths)',\n",
       " 'indicator/suicide_women_per_100000_people': 'Suicide women (per 100,000 people)',\n",
       " 'indicator/sulfur_emissions_per_person_kg': 'Sulfur emissions per person (kg)',\n",
       " 'indicator/surface_area_sq_km': 'Surface area (sq. km)',\n",
       " 'indicator/surviving_kids_per_woman': 'Surviving kids per woman',\n",
       " 'indicator/tax_revenue_percent_of_gdp': 'Tax revenue (% of GDP)',\n",
       " 'indicator/tb_programme_dots_population_coverage_percent': 'TB programme (DOTS) population coverage (%)',\n",
       " 'indicator/tb_tuberculosis': 'TB (tuberculosis)',\n",
       " 'indicator/tb_with_hivplus_deaths_per_100000_estimated': 'TB with HIV+, deaths per 100,000 - estimated',\n",
       " 'indicator/tb_with_hivplus_existing_cases_per_100000_estimated': 'TB with HIV+, existing cases per 100,000 - estimated',\n",
       " 'indicator/tb_with_hivplus_new_cases_per_100000_estimated': 'TB with HIV+, new cases per 100,000 - estimated',\n",
       " 'indicator/tb_with_hivplus_number_of_deaths_estimated': 'TB with HIV+, number of deaths - estimated',\n",
       " 'indicator/tb_with_hivplus_number_of_existing_cases_estimated': 'TB with HIV+, number of existing cases - estimated',\n",
       " 'indicator/tb_with_hivplus_number_of_new_cases_estimated': 'TB with HIV+, number of new cases - estimated',\n",
       " 'indicator/teen_fertility_rate_births_per_1000_women_ages_15_19': 'Teen fertility rate (births per 1,000 women ages 15-19)',\n",
       " 'indicator/teeth': 'Teeth',\n",
       " 'indicator/tetanus_deaths_in_newborn_per_1000_births': 'Tetanus deaths in newborn (per 1,000 births)',\n",
       " 'indicator/tetanus_deaths_in_newborn_total_deaths': 'Tetanus deaths in newborn (total deaths)',\n",
       " 'indicator/time': 'Time',\n",
       " 'indicator/total': 'Total',\n",
       " 'indicator/total_gdp_ppp_inflation_adjusted': 'Total GDP (PPP$, inflation-adjusted)',\n",
       " 'indicator/total_gdp_us_inflation_adjusted': 'Total GDP (US$, inflation-adjusted)',\n",
       " 'indicator/total_gni_ppp_current_international': 'Total GNI (PPP, current international $)',\n",
       " 'indicator/total_health_spending_per_person_international_dollar': 'Total health spending per person (international $)',\n",
       " 'indicator/total_health_spending_per_person_us': 'Total health spending per person (US$)',\n",
       " 'indicator/total_health_spending_percent_of_gdp': 'Total health spending (% of GDP)',\n",
       " 'indicator/total_number_of_dollar_billionaires': 'Total number of dollar billionaires',\n",
       " 'indicator/total_population_with_projections': 'Total population, with projections',\n",
       " 'indicator/total_reserves_percent_of_debt_to_foreigners': 'Total reserves (% of debt to foreigners)',\n",
       " 'indicator/total_sulfur_emission_kilotonnes': 'Total sulfur emission (kilotonnes)',\n",
       " 'indicator/total_water_withdrawal_billion_cu_meters': 'Total water withdrawal (billion cu meters)',\n",
       " 'indicator/trade_balance_percent_of_gdp': 'Trade balance (% of GDP)',\n",
       " 'indicator/trade_balance_us_not_inflation_adjusted': 'Trade balance (US$, not inflation-adjusted)',\n",
       " 'indicator/traffic': 'Traffic',\n",
       " 'indicator/traffic_deaths_men_per_100000_people': 'Traffic deaths men (per 100,000 people)',\n",
       " 'indicator/traffic_deaths_per_100000_people': 'Traffic deaths (per 100,000 people)',\n",
       " 'indicator/traffic_deaths_women_per_100000_people': 'Traffic deaths women (per 100,000 people)',\n",
       " 'indicator/traffic_mortality_15_29_per_100000_people': 'Traffic mortality 15-29 (per 100,000 people)',\n",
       " 'indicator/traffic_mortality_30_44_per_100000_people': 'Traffic mortality 30-44 (per 100,000 people)',\n",
       " 'indicator/traffic_mortality_45_59_per_100000_people': 'Traffic mortality 45-59 (per 100,000 people)',\n",
       " 'indicator/traffic_mortality_60plus_per_100000_people': 'Traffic mortality 60+ (per 100,000 people)',\n",
       " 'indicator/traffic_mortality_children_0_14_per_100000_people': 'Traffic mortality children 0-14 (per 100,000 people)',\n",
       " 'indicator/traffic_total_deaths': 'Traffic (total deaths)',\n",
       " 'indicator/tsunami_affected_annual_number': 'Tsunami - affected annual number',\n",
       " 'indicator/tsunami_deaths_annual_number': 'Tsunami - deaths annual number',\n",
       " 'indicator/under_five_mortality_from_cme_per_1000_born': 'Under-five mortality from CME (per 1,000 born)',\n",
       " 'indicator/under_five_mortality_from_ihme_per_1000_born': 'Under-five mortality from IHME (per 1,000 born)',\n",
       " 'indicator/underweight_children': 'Underweight children',\n",
       " 'indicator/unemployment': 'Unemployment',\n",
       " 'indicator/urban_population': 'Urban population',\n",
       " 'indicator/urban_population_growth_annual_percent': 'Urban population growth (annual %)',\n",
       " 'indicator/urban_population_percent_of_total': 'Urban population (% of total)',\n",
       " 'indicator/urban_poverty_percent_urban_people_below_national_urban': 'Urban poverty (% urban people below national urban poverty line)',\n",
       " 'indicator/urbanization': 'Urbanization',\n",
       " 'indicator/vaccine': 'Vaccine',\n",
       " 'indicator/war_peace': 'War & peace',\n",
       " 'indicator/water': 'Water',\n",
       " 'indicator/water_and_sanitation_aid_given_percent_of_aid': 'Water and sanitation aid given (% of aid)',\n",
       " 'indicator/water_withdrawal_cu_meters_per_person': 'Water withdrawal (cu meters per person)',\n",
       " 'indicator/wood_removal_cubic_meters': 'Wood removal (cubic meters)',\n",
       " 'indicator/work': 'Work',\n",
       " 'indicator/working_hours_per_week': 'Working hours per week',\n",
       " 'indicator/year_categorization_1820_2010': 'Year categorization 1820-2010',\n",
       " 'indicator/year_categorization_1950': 'Year categorization 1950-',\n",
       " 'indicator/yearly_co2_emissions_1000_tonnes': 'Yearly CO2 emissions (1000 tonnes)',\n",
       " 'indicator/yearly_co2_emissions_tonnes': 'Yearly CO2 emissions (2012 version)',\n",
       " 'indicator/years_use_as_color': 'Years (use as color)',\n",
       " 'mount/extremepoverty': 'extreme poverty',\n",
       " 'mount/manualSorting': 'Manual sorting of groups:',\n",
       " 'mount/maxYmode/immediate': 'Immediate',\n",
       " 'mount/maxYmode/latest': 'Latest',\n",
       " 'mount/maxYmode/total': 'Total',\n",
       " 'mount/merging/none': 'None',\n",
       " 'mount/merging/region': 'Regions',\n",
       " 'mount/merging/world': 'World',\n",
       " 'mount/people': 'people',\n",
       " 'mount/stacking/none': 'None',\n",
       " 'mount/stacking/region': 'Regions',\n",
       " 'mount/stacking/world': 'World',\n",
       " 'mount/title': 'Number of people by income',\n",
       " 'placeholder/search': 'Search',\n",
       " 'popbyage/yearOldsIn': '-year-olds in',\n",
       " 'region/africa': 'Africa',\n",
       " 'region/all': 'World',\n",
       " 'region/americas': 'Americas',\n",
       " 'region/asia': 'Asia',\n",
       " 'region/europe': 'Europe',\n",
       " 'scaletype/genericLog': 'Generic log',\n",
       " 'scaletype/linear': 'linear',\n",
       " 'scaletype/log': 'log',\n",
       " 'scaletype/ordinal': 'Ordinal',\n",
       " 'scaletype/time': 'Time',\n",
       " 'unit/': '',\n",
       " 'unit/child_mortality_rate_per1000': 'deaths under age 5 per 1000 births',\n",
       " 'unit/fertility_rate': '',\n",
       " 'unit/gdp_const_ppp2011_dollar': '$/year',\n",
       " 'unit/gdp_p_cap_const_ppp2011_dollar': '$/year',\n",
       " 'unit/gini': '',\n",
       " 'unit/life_expectancy': 'Years',\n",
       " 'unit/mountainchart_hardcoded_income_per_day': '$/day',\n",
       " 'unit/pixels': 'px',\n",
       " 'unit/population': 'people',\n",
       " 'unit/time': ''}"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "enj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "concept_file = './source/graph_settings - Indicators.csv'\n",
    "\n",
    "concepts = pd.read_csv(concept_file)\n",
    "k = concepts[concepts['ddf_id'] == u'———————————————————————'].index\n",
    "concepts = concepts.drop(k)\n",
    "\n",
    "concepts.columns = list(map(to_concept_id, concepts.columns))\n",
    "\n",
    "trs = concepts[['ddf_id', 'ddf_name', 'ddf_unit', 'tooltip']].copy()\n",
    "trs['key_1'] = 'indicator/'+trs['ddf_id']\n",
    "trs['key_2'] = 'unit/'+trs['ddf_id']\n",
    "trs['key_3'] = 'description/'+trs['ddf_id']\n",
    "\n",
    "trs1 = trs.drop('ddf_id', axis=1).set_index('key_1')\n",
    "trs2 = trs.drop('ddf_id', axis=1).set_index('key_2')\n",
    "trs3 = trs.drop('ddf_id', axis=1).set_index('key_3')\n",
    "\n",
    "enj.update(trs1['ddf_name'].dropna().to_dict())\n",
    "enj.update(trs2['ddf_unit'].dropna().to_dict())\n",
    "enj.update(trs3['tooltip'].dropna().to_dict())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "with open('./output/en.json', 'w') as f:\n",
    "    json.dump(enj, f, indent=1, sort_keys=True)\n",
    "    f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# old\n",
    "\n",
    "trs = concepts[['ddf_id', 'ddf_name', 'ddf_unit', 'tooltip', 'old_ddf_id']].copy()\n",
    "a = trs[['ddf_id', 'old_ddf_id']].ix[trs['old_ddf_id'].dropna().index].set_index('ddf_id')['old_ddf_id']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for k, v in a.iteritems():\n",
    "    \n",
    "    for i in ['indicator/', 'unit/', 'description/']:\n",
    "        try:\n",
    "            d = enj[i+k]\n",
    "            del enj[i+k]\n",
    "            enj[i+v] = d\n",
    "        except KeyError:\n",
    "            continue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "with open('./output/en_old.json', 'w') as f:\n",
    "    json.dump(enj, f, indent=1, sort_keys=True)\n",
    "    f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "indb_file = '/Users/semio/src/work/Gapminder/vizabi/.data/waffles/metadata.json'\n",
    "indb_0 = json.load(open(indb_file))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'indicatorsDB': {'20120905_extreme_poverty_percent_people_below_125_a_day': {'availability': [1978,\n",
       "    2011],\n",
       "   'domain': [0.0, 92.55],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdDhjcXdjbURLMFFVcVFPYThhYmtvZXc',\n",
       "   'use': 'indicator'},\n",
       "  '_default': {'scales': ['ordinal'], 'sourceLink': '', 'use': 'constant'},\n",
       "  'adults_with_hiv_percent_age_15_49': {'availability': [1979, 2011],\n",
       "   'domain': [0.00951, 26.5],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEfbZyl0qjbiRQ',\n",
       "   'use': 'indicator'},\n",
       "  'age': {'scales': ['linear', 'log'], 'sourceLink': '', 'use': 'indicator'},\n",
       "  'age_at_1st_marriage_women': {'availability': [1616, 2005],\n",
       "   'domain': [12.5, 33.66],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=t4eF8H_jq_xyKCUHAX6VT1g',\n",
       "   'use': 'indicator'},\n",
       "  'aged_15_24_employment_rate_percent': {'availability': [1991, 2007],\n",
       "   'domain': [11.3, 81.2],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rfHz_nx27dDQo4dUoIeVT3A',\n",
       "   'use': 'indicator'},\n",
       "  'aged_15_24_unemployment_rate_percent': {'availability': [1981, 2005],\n",
       "   'domain': [2.8, 45.1],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rb0oP4d1BREXa8xMIUf4NZg',\n",
       "   'use': 'indicator'},\n",
       "  'aged_15_64_labour_force_participation_rate_percent': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [39.2, 92.4],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rx1TECfEnGlnomonxCCO-Aw',\n",
       "   'use': 'indicator'},\n",
       "  'aged_15plus_employment_rate_percent': {'availability': [1991, 2007],\n",
       "   'domain': [26.6, 87.7],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rV0ksExNqh6V_h40f0_nFjg',\n",
       "   'use': 'indicator'},\n",
       "  'aged_15plus_labour_force_participation_rate_percent': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [37.5, 91.6],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=ryyQX_1TXlohXWOSUswhIKg',\n",
       "   'use': 'indicator'},\n",
       "  'aged_15plus_unemployment_rate_percent': {'availability': [1981, 2005],\n",
       "   'domain': [1.1, 24.1],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rlD36wGmkwFt3ED558waCTQ',\n",
       "   'use': 'indicator'},\n",
       "  'aged_25_54_labour_force_participation_rate_percent': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [48.7, 97.3],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rTrB-PY0sfM_gdAQ20XovfA',\n",
       "   'use': 'indicator'},\n",
       "  'aged_25_54_unemployment_rate_percent': {'availability': [1981, 2005],\n",
       "   'domain': [0.7, 20.9],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rEMA-cbNPaOtpDyxTcwugnw',\n",
       "   'use': 'indicator'},\n",
       "  'aged_55plus_unemployment_rate_percent': {'availability': [1981, 2005],\n",
       "   'domain': [0.5, 22.8],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rNn0y3e0bCpaqTM_8BVZBdg',\n",
       "   'use': 'indicator'},\n",
       "  'aged_65plus_labour_force_participation_rate_percent': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [0.5, 89.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=r1hlZB_n1rpXTij11Kw7lTQ',\n",
       "   'use': 'indicator'},\n",
       "  'agricultural_land_percent_of_land_area': {'availability': [1961, 2009],\n",
       "   'domain': [0.0, 91.32],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdEF3alRGS0JQZVgwSW1FWUxUQmZoWXc',\n",
       "   'use': 'indicator'},\n",
       "  'agricultural_water_withdrawal_percent_of_total': {'availability': [1967,\n",
       "    2007],\n",
       "   'domain': [0.017, 99.4],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rab3jHe_JZrU1pqlX0xnQEw',\n",
       "   'use': 'indicator'},\n",
       "  'agriculture_percent_of_gdp': {'availability': [1961, 2011],\n",
       "   'domain': [0.0, 94.85],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdFhPbDdCTTYxM1dGc21UdE9sSkp1WEE',\n",
       "   'use': 'indicator'},\n",
       "  'agriculture_workers_percent_of_labour_force': {'availability': [1980, 2007],\n",
       "   'domain': [0.0, 90.1],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rzFD5mOuB5mR7-vLoP04LAQ',\n",
       "   'use': 'indicator'},\n",
       "  'aid_given_2007_us': {'availability': [1967, 2007],\n",
       "   'domain': [1090000.0, 19850000000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tFOn62dEO9QCyIKK6kgSYRQ',\n",
       "   'use': 'indicator'},\n",
       "  'aid_given_per_person_2007_us': {'availability': [1960, 2007],\n",
       "   'domain': [0.1915, 816.4],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tGTst0WEm8V8zI9LOYvGmTg',\n",
       "   'use': 'indicator'},\n",
       "  'aid_given_percent_of_gni': {'availability': [1960, 2008],\n",
       "   'domain': [0.0, 1.36],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tQR7RhlZdPjBkVCDPPF4zUg',\n",
       "   'use': 'indicator'},\n",
       "  'aid_received_per_person_current_us': {'availability': [1960, 2010],\n",
       "   'domain': [-203.6, 12010.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=t9GL1nIZdtxszJbjKErN2Hg',\n",
       "   'use': 'indicator'},\n",
       "  'aid_received_percent_of_gni': {'availability': [1960, 2010],\n",
       "   'domain': [-2.701, 242.3],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tzK6dx2JltRfVXFI1ADh84w',\n",
       "   'use': 'indicator'},\n",
       "  'aid_received_total_us_inflation_adjusted': {'availability': [1960, 2010],\n",
       "   'domain': [-1143000000.0, 24860000000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdHVuNVpKdnNCa08yV3NOd0Zsal9JaWc',\n",
       "   'use': 'indicator'},\n",
       "  'alcohol_consumption_per_adult_15plus_litres': {'availability': [1985, 2008],\n",
       "   'domain': [0.02, 24.19],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0AgogXXPMARyldGJqTDRfNHBWODJMRWlZaVhNclhNZXc',\n",
       "   'use': 'indicator'},\n",
       "  'all_causes_deaths_in_children_1_59_months_per_1000_births': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [1.0270000000000001, 195.2],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=t9FP3_OPrE2ug_I_iNsbePg',\n",
       "   'use': 'indicator'},\n",
       "  'all_causes_deaths_in_children_1_59_months_total_deaths': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [4.0, 826100.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=taYeez4Mkk8OvdH-q4QAxxQ',\n",
       "   'use': 'indicator'},\n",
       "  'all_causes_deaths_in_newborn_per_1000_births': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [0.9171, 60.65],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tbpc_fYEqPzaE7pDWBG84Rw',\n",
       "   'use': 'indicator'},\n",
       "  'all_causes_deaths_in_newborn_total_deaths': {'availability': [2008, 2008],\n",
       "   'domain': [5.0, 1004000.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tBVcAKWEbc2s687q6D9yuYg',\n",
       "   'use': 'indicator'},\n",
       "  'all_forms_of_tb_deaths_per_100000_estimated': {'availability': [1990, 2007],\n",
       "   'domain': [0.0, 415.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rWM9yEzjpGJvcJlUAIm35tA',\n",
       "   'use': 'indicator'},\n",
       "  'all_forms_of_tb_detection_rate_percent': {'availability': [1990, 2007],\n",
       "   'domain': [0.0, 285.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=ru195-zJ0rsx5axPIvm_bRA',\n",
       "   'use': 'indicator'},\n",
       "  'all_forms_of_tb_detection_rate_percent_dots_only': {'availability': [1990,\n",
       "    2007],\n",
       "   'domain': [0.0, 210.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rutVwqgB14uRV_f2dRbqhUA',\n",
       "   'use': 'indicator'},\n",
       "  'all_forms_of_tb_existing_cases_per_100000_estimated': {'availability': [1990,\n",
       "    2007],\n",
       "   'domain': [0.0, 1485.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rZNoyaocUmUGuFyRgjJUpig',\n",
       "   'use': 'indicator'},\n",
       "  'all_forms_of_tb_new_cases_per_100000_estimated': {'availability': [1990,\n",
       "    2007],\n",
       "   'domain': [0.0, 1198.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rMsQHawTObBb6_U2ESjKXYw',\n",
       "   'use': 'indicator'},\n",
       "  'all_forms_of_tb_new_cases_per_100000_reported': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [0.0, 779.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rYICvtvVz28fVyQuG_ote2w',\n",
       "   'use': 'indicator'},\n",
       "  'all_forms_of_tb_number_of_deaths_estimated': {'availability': [1990, 2007],\n",
       "   'domain': [0.0, 457800.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rrQ_y5fqQPlznp5mJGXWr-A',\n",
       "   'use': 'indicator'},\n",
       "  'all_forms_of_tb_number_of_existing_cases_estimated': {'availability': [1990,\n",
       "    2007],\n",
       "   'domain': [0.0, 5088000.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rOCGMcGcrZs-dfeTEC792ZQ',\n",
       "   'use': 'indicator'},\n",
       "  'all_forms_of_tb_number_of_new_cases_estimated': {'availability': [1990,\n",
       "    2007],\n",
       "   'domain': [0.0, 1962000.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rhZayTbvH3ZLlSN64OuRYFg',\n",
       "   'use': 'indicator'},\n",
       "  'all_forms_of_tb_number_of_new_cases_reported': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [0.0, 1555000.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=r5UikGjnZlemlelKY0NX9Pg',\n",
       "   'use': 'indicator'},\n",
       "  'alternative_gdp_per_capita_ppp_pwt_7_1': {'availability': [1950, 2010],\n",
       "   'domain': [160.8, 136300.0],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0ArtujvvFrPjVdEhhbV90QlJ3RFM0TW83dHd6RXBiX3c',\n",
       "   'use': 'indicator'},\n",
       "  'alternative_gdp_per_capita_ppp_pwt_8_0': {'availability': [1950, 2011],\n",
       "   'domain': [153.2, 124700.0],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdGhmWXFMY0hNcDFiTEt3ZVE4b21wRlE',\n",
       "   'use': 'indicator'},\n",
       "  'alternative_gdp_per_capita_ppp_wb': {'availability': [1980, 2011],\n",
       "   'domain': [100.9, 123300.0],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0ArtujvvFrPjVdERlTHZFQ2ZaUkpySHpQMF82UmdlcUE',\n",
       "   'use': 'indicator'},\n",
       "  'alternative_gdppercapita_ppp_inflation_adjusted_from_pwt': {'availability': [1950,\n",
       "    2004],\n",
       "   'domain': [170.6, 84690.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tSUr_yZVbM6a3AGJEq_Z2Pw',\n",
       "   'use': 'indicator'},\n",
       "  'alternative_poverty_percent_below_nationally_defined_poverty': {'availability': [1985,\n",
       "    2006],\n",
       "   'domain': [2.8, 82.8],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEd1R9UmohEIaA',\n",
       "   'use': 'indicator'},\n",
       "  'annual_hiv_deaths_number_all_ages': {'availability': [1990, 2011],\n",
       "   'domain': [60.0, 390000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdHZJdFBhYVlvck43d1R6ZFYzUWpiLWc',\n",
       "   'use': 'indicator'},\n",
       "  'armed_forces_personnel_percent_of_labor_force': {'availability': [1985,\n",
       "    2008],\n",
       "   'domain': [0.0, 32.2],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0Asm_G8nr4TCSdFFoVWRjcUdKZDFydGdGNXkzS2ZRbHc',\n",
       "   'use': 'indicator'},\n",
       "  'armed_forces_personnel_total': {'availability': [1985, 2008],\n",
       "   'domain': [0.0, 4135000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0Asm_G8nr4TCSdG1nNjk5RzItcUp6N2dSdHUwOENXa0E',\n",
       "   'use': 'indicator'},\n",
       "  'arms_exports_us_inflation_adjusted': {'availability': [1960, 2010],\n",
       "   'domain': [0.0, 16180000000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdGpkU3BSVmw5UXhTMWd6UFc1eXI3Rnc',\n",
       "   'use': 'indicator'},\n",
       "  'arms_imports_us_inflation_adjusted': {'availability': [1960, 2010],\n",
       "   'domain': [0.0, 6168000000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdEljeENrOXlFXzR3Rm8xT0drTV9YclE',\n",
       "   'use': 'indicator'},\n",
       "  'art_coverage_percent_cd4_l_350': {'availability': [2004, 2011],\n",
       "   'domain': [0.0, 95.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdHMzRDA5Z1RjWkJIWkNfdWNBVFR6b1E',\n",
       "   'use': 'indicator'},\n",
       "  'average_age_of_dollar_billionaires_years': {'availability': [2004, 2007],\n",
       "   'domain': [0.0, 79.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=t_KhYe1qTGh4c90N61AUDSg',\n",
       "   'use': 'indicator'},\n",
       "  'bad_teeth_per_child_12_yr': {'availability': [2004, 2004],\n",
       "   'domain': [0.2, 6.3],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj3Os9LVO_pRDA',\n",
       "   'use': 'indicator'},\n",
       "  'battle_deaths_per_100_000': {'availability': [2002, 2004],\n",
       "   'domain': [0.0, 252.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=0AgogXXPMARyldElMWEl4RFVTemlMbzJqRU50ZDJ3SHc',\n",
       "   'use': 'indicator'},\n",
       "  'biomass_stock_in_forest_tons': {'availability': [2005, 2005],\n",
       "   'domain': [2000000.0, 107600000000.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pp59adS3CHWcsSl830EklJA',\n",
       "   'use': 'indicator'},\n",
       "  'birth_asphyxia_deaths_in_newborn_per_1000_births': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [0.0, 16.14],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=t_0WcTuc94YT9cJVvy1tmUg',\n",
       "   'use': 'indicator'},\n",
       "  'birth_asphyxia_deaths_in_newborn_total_deaths': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [0.0, 189400.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=twrll6eL8GeIU4P71aTakmg',\n",
       "   'use': 'indicator'},\n",
       "  'births_attended_by_skilled_health_staff_percent_of_total': {'availability': [1984,\n",
       "    2010],\n",
       "   'domain': [5.0, 100.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdF9OQ2dSSG5nNFhpS3RnRVZHUzZMb3c',\n",
       "   'use': 'indicator'},\n",
       "  'blood_pressure_sbp_men_mmhg': {'availability': [1980, 2008],\n",
       "   'domain': [118.5, 143.1],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdHNwRm9DN1FnT3hXWWZVSncxMkZyS2c',\n",
       "   'use': 'indicator'},\n",
       "  'blood_pressure_sbp_women_mmhg': {'availability': [1980, 2008],\n",
       "   'domain': [110.3, 139.5],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdHBzUVVSMDlTX1ZCUnNJQ3ZFdkFXVFE',\n",
       "   'use': 'indicator'},\n",
       "  'body_mass_index_bmi_men_kgperm2': {'availability': [1980, 2008],\n",
       "   'domain': [19.01, 33.9],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdF9saE1pWUNYVkVsNU1FdW1Yem81Nmc',\n",
       "   'use': 'indicator'},\n",
       "  'body_mass_index_bmi_women_kgperm2': {'availability': [1980, 2008],\n",
       "   'domain': [18.47, 35.02],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdGt0elo2dzJMVVQ3WmFGSmdhc09LRlE',\n",
       "   'use': 'indicator'},\n",
       "  'breast_cancer_deaths_per_100000_women': {'availability': [1950, 2002],\n",
       "   'domain': [0.06, 42.87],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj3wJUwXXDdiGg',\n",
       "   'use': 'indicator'},\n",
       "  'breast_cancer_new_cases_per_100000_women': {'availability': [1953, 2002],\n",
       "   'domain': [3.9, 101.1],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj0Zbn8wVYsEHQ',\n",
       "   'use': 'indicator'},\n",
       "  'breast_cancer_number_of_female_deaths': {'availability': [2002, 2002],\n",
       "   'domain': [7.0, 44800.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj07QB-Apx8RfQ',\n",
       "   'use': 'indicator'},\n",
       "  'breast_cancer_number_of_new_female_cases': {'availability': [2002, 2002],\n",
       "   'domain': [16.0, 210000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj2fGuJ1VdTpOw',\n",
       "   'use': 'indicator'},\n",
       "  'broadband_subscribers': {'availability': [1995, 2010],\n",
       "   'domain': [0.0, 126300000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdEpMTHBoMmNzcDVCNVRHWE5zSVJVRHc',\n",
       "   'use': 'indicator'},\n",
       "  'broadband_subscribers_per_100_people': {'availability': [1998, 2010],\n",
       "   'domain': [0.0, 63.83],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdHdmMGVNNnV1SHBONDRTdTJzTVBKQXc',\n",
       "   'use': 'indicator'},\n",
       "  'burns_deaths_per_100000_people': {'availability': [2002, 2004],\n",
       "   'domain': [0.0, 15.89],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=0AgogXXPMARyldGloTm9wekpDcUdMUjhlYWFKaHdnVWc',\n",
       "   'use': 'indicator'},\n",
       "  'car_deaths_per_100000_people': {'availability': [1985, 2008],\n",
       "   'domain': [0.113, 33.7],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tLf-4GD5z0QxqsDoUz4vOlg',\n",
       "   'use': 'indicator'},\n",
       "  'cars_trucks_and_buses_per_1000_persons': {'availability': [2002, 2007],\n",
       "   'domain': [0.2955, 1214.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tu0H0unnUriNvMXwH_qOqzw',\n",
       "   'use': 'indicator'},\n",
       "  'cell_phones_per_100_people': {'availability': [1965, 2011],\n",
       "   'domain': [0.0, 243.5],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdG1MSjEyS0h2QjRQZ3FXRVR2dVQyeFE',\n",
       "   'use': 'indicator'},\n",
       "  'cell_phones_total': {'availability': [1965, 2011],\n",
       "   'domain': [0.0, 986300000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdEhWLWtqNzljbWg4ZXV6M09JQXNGaUE',\n",
       "   'use': 'indicator'},\n",
       "  'central_bank_discount_rate_annual_percent': {'availability': [1948, 2006],\n",
       "   'domain': [0.0, 12880.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEejn8qHNmm4LQ',\n",
       "   'use': 'indicator'},\n",
       "  'cervical_cancer_deaths_per_100000_women': {'availability': [1950, 2002],\n",
       "   'domain': [0.15, 55.6],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj0jPl21g3mqfQ',\n",
       "   'use': 'indicator'},\n",
       "  'cervical_cancer_new_cases_per_100000_women': {'availability': [1953, 2002],\n",
       "   'domain': [2.0, 87.3],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj3XpKHFksEPcA',\n",
       "   'use': 'indicator'},\n",
       "  'cervical_cancer_number_of_female_deaths': {'availability': [2002, 2002],\n",
       "   'domain': [3.0, 74120.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj2KBU_veE9AQg',\n",
       "   'use': 'indicator'},\n",
       "  'cervical_cancer_number_of_new_female_cases': {'availability': [2002, 2002],\n",
       "   'domain': [5.0, 132100.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj0g-SgNTI23GQ',\n",
       "   'use': 'indicator'},\n",
       "  'child_mortality_0_5_year_olds_dying_per_1000_born': {'availability': [1800,\n",
       "    2015],\n",
       "   'domain': [1.9, 756.3],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCcGhBd2NOQVZ1eWowNVpSNjl1c3lRSWc',\n",
       "   'use': 'indicator'},\n",
       "  'child_mortality_0_5_year_olds_more_years_version_7': {'availability': [1751,\n",
       "    2013],\n",
       "   'domain': [2.0, 756.3],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=1qOyLQJxO8zBHvldD1tS1s9dYIHuCe8u72JZQ_LjI9qI',\n",
       "   'use': 'indicator'},\n",
       "  'child_mortality_rate_per1000': {'domain': [0, 550],\n",
       "   'scales': ['linear', 'log'],\n",
       "   'sourceLink': 'http://www.gapminder.org/news/data-sources-dont-panic-end-poverty',\n",
       "   'use': 'indicator'},\n",
       "  'children_and_elderly_per_100_adults': {'availability': [1950, 2050],\n",
       "   'domain': [20.45, 119.8],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj2biT80zgTsYQ',\n",
       "   'use': 'indicator'},\n",
       "  'children_out_of_school_primary': {'availability': [1970, 2011],\n",
       "   'domain': [0.0, 27990000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdGVSdkZnZWhfMDYybzd6U2p3NkxsZ3c',\n",
       "   'use': 'indicator'},\n",
       "  'children_out_of_school_primary_female': {'availability': [1970, 2011],\n",
       "   'domain': [1.0, 17960000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdFNPaEhiUDJ0QWZYOEwwQlBSTmtza1E',\n",
       "   'use': 'indicator'},\n",
       "  'children_out_of_school_primary_male': {'availability': [1970, 2011],\n",
       "   'domain': [1.0, 10030000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdFd5cnQzNU5IYm1vTWtrTWRIX3UxbHc',\n",
       "   'use': 'indicator'},\n",
       "  'children_per_woman_temporary_update': {'availability': [1800, 2012],\n",
       "   'domain': [0.836, 8.512],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdFJCTm43NGc0SzdYeHBpZWZGb1V0ckE',\n",
       "   'use': 'indicator'},\n",
       "  'children_per_woman_total_fertility': {'availability': [1800, 2015],\n",
       "   'domain': [0.84, 9.22],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj0TAlJeCEzcGQ',\n",
       "   'use': 'indicator'},\n",
       "  'children_per_woman_total_fertility_with_projections': {'availability': [1545,\n",
       "    2099],\n",
       "   'domain': [0.836, 9.222999999999999],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tGdhNYGTGtunwzkKJ9aRhsA',\n",
       "   'use': 'indicator'},\n",
       "  'cholesterol_fat_in_blood_men_mmolperl': {'availability': [1980, 2008],\n",
       "   'domain': [3.728, 6.242999999999999],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdDU5SnRoQ0xlZWhwRUZ6RFNQV042enc',\n",
       "   'use': 'indicator'},\n",
       "  'cholesterol_fat_in_blood_women_mmolperl': {'availability': [1980, 2008],\n",
       "   'domain': [3.9739999999999998, 6.2],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdGJHcHZkSUdBcU56aS1OT3lLeU4tRHc',\n",
       "   'use': 'indicator'},\n",
       "  'co2_emissions_tonnes_per_person': {'availability': [1751, 2012],\n",
       "   'domain': [0.0, 252.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj1gkNuUEXOGag',\n",
       "   'use': 'indicator'},\n",
       "  'co2_intensity_of_economic_output_kg_co2_per_2005_ppp_of_gdp': {'availability': [1980,\n",
       "    2008],\n",
       "   'domain': [0.0013, 4.218999999999999],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdEVUcEJVRzlFWWRRcjhveGlrQzdwdUE',\n",
       "   'use': 'indicator'},\n",
       "  'coal_consumption_per_cap': {'availability': [1965, 2011],\n",
       "   'domain': [0.0002358, 3.9360000000000004],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=0Auk0ddvGIrGqcHlqNnRTY1pxbUVka1hObHlPbTlmUUE',\n",
       "   'use': 'indicator'},\n",
       "  'coal_consumption_total': {'availability': [1965, 2011],\n",
       "   'domain': [30000.0, 1839000000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=0Auk0ddvGIrGqcHlqNnRTY1pxbUVjMVRtTWlGZG1PVmc',\n",
       "   'use': 'indicator'},\n",
       "  'colonandrectum_cancer_deaths_per_100000_men': {'availability': [1955, 2002],\n",
       "   'domain': [0.34, 35.52],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj0VhkB8-rRHQg',\n",
       "   'use': 'indicator'},\n",
       "  'colonandrectum_cancer_deaths_per_100000_women': {'availability': [1955,\n",
       "    2002],\n",
       "   'domain': [0.5, 23.86],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj3bdzmKAvdUSw',\n",
       "   'use': 'indicator'},\n",
       "  'colonandrectum_cancer_new_cases_per_100000_men': {'availability': [1953,\n",
       "    2002],\n",
       "   'domain': [1.0, 59.81],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj2UBFFaFy3Ebg',\n",
       "   'use': 'indicator'},\n",
       "  'colonandrectum_cancer_new_cases_per_100000_women': {'availability': [1953,\n",
       "    2002],\n",
       "   'domain': [0.9, 43.57],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj2P7lqZXLeZAw',\n",
       "   'use': 'indicator'},\n",
       "  'colonandrectum_cancer_number_of_female_deaths': {'availability': [2002,\n",
       "    2002],\n",
       "   'domain': [0.0, 35900.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj0ndPkFlozzXQ',\n",
       "   'use': 'indicator'},\n",
       "  'colonandrectum_cancer_number_of_male_deaths': {'availability': [2002, 2002],\n",
       "   'domain': [2.0, 50200.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj0-sqkfnD4rGA',\n",
       "   'use': 'indicator'},\n",
       "  'colonandrectum_cancer_number_of_new_female_cases': {'availability': [2002,\n",
       "    2002],\n",
       "   'domain': [1.0, 80430.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj2L5YHqVxRTLA',\n",
       "   'use': 'indicator'},\n",
       "  'colonandrectum_cancer_number_of_new_male_cases': {'availability': [2002,\n",
       "    2002],\n",
       "   'domain': [2.0, 88140.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj3nBOvEwrkMTA',\n",
       "   'use': 'indicator'},\n",
       "  'congenital_deaths_in_newborn_per_1000_births': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [0.0, 6.1160000000000005],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tneegXfZGHA0-nLG25ypnyg',\n",
       "   'use': 'indicator'},\n",
       "  'congenital_deaths_in_newborn_total_deaths': {'availability': [2008, 2008],\n",
       "   'domain': [0.0, 34280.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tUvFsKz2lGL-GtPmw47VLdg',\n",
       "   'use': 'indicator'},\n",
       "  'contraceptive_use_percent_of_women_ages_15_49': {'availability': [1968,\n",
       "    2011],\n",
       "   'domain': [0.8, 96.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdFp2OENYMUVKWnY1dkJLRXAtYnI3UVE',\n",
       "   'use': 'indicator'},\n",
       "  'corruption_perception_index_cpi': {'availability': [2008, 2009],\n",
       "   'domain': [1.1, 9.4],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tKOphM3UPRd94T6C6pmsuXw',\n",
       "   'use': 'indicator'},\n",
       "  'crude_birth_rate_births_per_1000_population': {'availability': [1800, 2015],\n",
       "   'domain': [7.688, 60.4],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tUSeGJOQhafugwUvHvY-wLA',\n",
       "   'use': 'indicator'},\n",
       "  'crude_death_rate_deaths_per_1000_population': {'availability': [1953, 2048],\n",
       "   'domain': [1.508, 45.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tHyj-2jRvK3CCNJOc5Vm-HQ',\n",
       "   'use': 'indicator'},\n",
       "  'cumulative_co2_emissions_tonnes': {'availability': [1751, 2011],\n",
       "   'domain': [3667.0, 360700000000.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEed4UamoiNCFA',\n",
       "   'use': 'indicator'},\n",
       "  'data_method_maternal_mortality': {'availability': [2005, 2005],\n",
       "   'domain': [1.0, 8.0],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=thDxsgSWvLGW4M1qUBby7OQ',\n",
       "   'use': 'indicator'},\n",
       "  'data_quality_children_per_woman': {'availability': [1800, 2009],\n",
       "   'domain': [1.0, 5.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=thlR4hyNMEnaVyV_uxRzjfQ',\n",
       "   'use': 'indicator'},\n",
       "  'data_quality_income_per_person': {'availability': [1700, 2012],\n",
       "   'domain': [0.0, 5.0],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj0atjJIuxy-KQ',\n",
       "   'use': 'indicator'},\n",
       "  'data_quality_life_expectancy': {'availability': [1760, 2014],\n",
       "   'domain': [1.0, 4.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=p8SIY47PNEw6vGCNzlYJ5eA',\n",
       "   'use': 'indicator'},\n",
       "  'data_quality_population': {'availability': [1600, 2001],\n",
       "   'domain': [2.0, 5.0],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj1ONZlWMf9KQA',\n",
       "   'use': 'indicator'},\n",
       "  'dead_kids_per_woman': {'availability': [1760, 2099],\n",
       "   'domain': [0.01641, 5.5520000000000005],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/spreadsheet/pub?key=0ArtujvvFrPjVdDRQTUhzNmVySlp6djRtLWh4eS1sNHc',\n",
       "   'use': 'indicator'},\n",
       "  'debt_servicing_costs_percent_of_exports_and_net_income_from_abroad': {'availability': [1970,\n",
       "    2009],\n",
       "   'domain': [0.0, 152.3],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEd-30XcArAJHA',\n",
       "   'use': 'indicator'},\n",
       "  'debt_to_foreigners_by_public_and_private_percent_of_gni': {'availability': [1970,\n",
       "    2010],\n",
       "   'domain': [0.0, 1210.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdDlSTTVWUkU3Z254aEhERmVuQWZaeWc',\n",
       "   'use': 'indicator'},\n",
       "  'democracy_score_use_as_color': {'availability': [1800, 2011],\n",
       "   'domain': [-10.0, 10.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdGQ2YlhDSWVIdXdpMmhLY2ZZRHdNNnc',\n",
       "   'use': 'indicator'},\n",
       "  'desalinated_water_produced_billion_cu_meters': {'availability': [1982,\n",
       "    2007],\n",
       "   'domain': [5e-05, 1.328],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rt3BaikcRwJBNC0CvQsjDCA',\n",
       "   'use': 'indicator'},\n",
       "  'diarrhoeal_deaths_in_children_1_59_months_per_1000_births': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [0.0, 69.55],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tADSStUzP0ADEPYqsIfVHMQ',\n",
       "   'use': 'indicator'},\n",
       "  'diarrhoeal_deaths_in_children_1_59_months_total_deaths': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [0.0, 203200.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tDzIq4iIDwNtYthN_QYZwZg',\n",
       "   'use': 'indicator'},\n",
       "  'diarrhoeal_deaths_in_newborn_per_1000_births': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [0.0, 2.378],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tX7NQAP_5H4TOS1OEnxdxYw',\n",
       "   'use': 'indicator'},\n",
       "  'diarrhoeal_deaths_in_newborn_total_deaths': {'availability': [2008, 2008],\n",
       "   'domain': [0.0, 34280.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tKZcnGP_XImMXRZ4tZqtjMg',\n",
       "   'use': 'indicator'},\n",
       "  'dollar_billionaires_per_million_people': {'availability': [2004, 2007],\n",
       "   'domain': [0.0, 30.86],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tAQpQeQkuyA1-ZovdDJ7JAw',\n",
       "   'use': 'indicator'},\n",
       "  'drought_affected_annual_number': {'availability': [1970, 2008],\n",
       "   'domain': [0.0, 300000000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rAYA0bjnfYwzXnir0cigijQ',\n",
       "   'use': 'indicator'},\n",
       "  'drought_deaths_annual_number': {'availability': [1970, 2008],\n",
       "   'domain': [0.0, 300000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rvRwTPi0n_94EScVA3YjLeg',\n",
       "   'use': 'indicator'},\n",
       "  'drownings_per_100000_people': {'availability': [2002, 2004],\n",
       "   'domain': [0.0, 26.64],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=0AgogXXPMARyldF9ZRnhuWWljUXJHRDRpb0cyaHNLSUE',\n",
       "   'use': 'indicator'},\n",
       "  'dtp3_immunized_percent_of_one_year_olds': {'availability': [1980, 2011],\n",
       "   'domain': [0.0, 99.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=txVTyScWObTBNuMmkNtLh1w',\n",
       "   'use': 'indicator'},\n",
       "  'earthquake_affected_annual_number': {'availability': [1970, 2008],\n",
       "   'domain': [0.0, 47170000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rG_BjsDwyS2n7DANNH3i5vQ',\n",
       "   'use': 'indicator'},\n",
       "  'earthquake_deaths_annual_number': {'availability': [1970, 2008],\n",
       "   'domain': [0.0, 242000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rvbbs7uxQc7swJ4RR2BcQfA',\n",
       "   'use': 'indicator'},\n",
       "  'economic_growth_over_the_past_10_years': {'availability': [1960, 2004],\n",
       "   'domain': [-20.38, 22.23],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tkdAnkbHJxPAlRX6P1mAh8w',\n",
       "   'use': 'indicator'},\n",
       "  'economical_infrastructure_aid_given_percent_of_aid': {'availability': [1967,\n",
       "    2007],\n",
       "   'domain': [0.0476, 92.29],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tMxqFNS7BC5QyLrhBO8DXqQ',\n",
       "   'use': 'indicator'},\n",
       "  'education_aid_given_percent_of_aid': {'availability': [1971, 2007],\n",
       "   'domain': [0.5299, 100.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tQQaILpdu-vGtSkJLr2VQCw',\n",
       "   'use': 'indicator'},\n",
       "  'electricity_generation_per_person': {'availability': [1990, 2008],\n",
       "   'domain': [75.76, 54100.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEeMtYNdMyLKOw',\n",
       "   'use': 'indicator'},\n",
       "  'electricity_generation_total': {'availability': [1990, 2008],\n",
       "   'domain': [4494000000.0, 4365000000000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEehRG-9mMHYdg',\n",
       "   'use': 'indicator'},\n",
       "  'electricity_use_per_person': {'availability': [1960, 2011],\n",
       "   'domain': [6.005, 52370.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tiVeyAJd7iRWorOwl_ARWEQ',\n",
       "   'use': 'indicator'},\n",
       "  'electricity_use_total': {'availability': [1960, 2010],\n",
       "   'domain': [11000000.0, 4167000000000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tEu78F4acf0u6MRyhg5-9qQ',\n",
       "   'use': 'indicator'},\n",
       "  'energy_from_solid_biofuels_percent': {'availability': [2000, 2010],\n",
       "   'domain': [0.0, 93.48],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdFdaNHA3R1BzcG9GSlkwMXdnMHpScVE',\n",
       "   'use': 'indicator'},\n",
       "  'energy_production_per_person': {'availability': [1960, 2010],\n",
       "   'domain': [0.0, 0.2097],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdHJ6UTV4MkEyN0NYdnJJOG1oYUxmTWc',\n",
       "   'use': 'indicator'},\n",
       "  'energy_production_total': {'availability': [1960, 2010],\n",
       "   'domain': [0.0, 2085000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdFNZMXZwcjNPY2c3MWwxbWIwVFgyd0E',\n",
       "   'use': 'indicator'},\n",
       "  'energy_supply_per_person_toe': {'availability': [2010, 2010],\n",
       "   'domain': [0.1417, 17.19],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdFFjMFlMeS02N1NGNjJabl8wamVtdHc',\n",
       "   'use': 'indicator'},\n",
       "  'energy_use_per_person': {'availability': [1960, 2011],\n",
       "   'domain': [0.009021, 23.07],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdHRmYjJWLVF0SjlQY1N5Vm9yU0xxaGc',\n",
       "   'use': 'indicator'},\n",
       "  'energy_use_total': {'availability': [1960, 2011],\n",
       "   'domain': [7113.0, 2417000000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdHd2Nld0NEVFOGRiSTc0V3ZoekNuS1E',\n",
       "   'use': 'indicator'},\n",
       "  'epidemic_affected_annual_number': {'availability': [1970, 2008],\n",
       "   'domain': [0.0, 6501000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=r6H8dfVPu2CJ2nzI8X0jurw',\n",
       "   'use': 'indicator'},\n",
       "  'epidemic_deaths_annual_number': {'availability': [1970, 2008],\n",
       "   'domain': [0.0, 9726.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rvtZF_JC0OI27tL66o6hiMQ',\n",
       "   'use': 'indicator'},\n",
       "  'estimate_or_projection_of_under_five_mortality_rate_from_ihme': {'availability': [1970,\n",
       "    2015],\n",
       "   'domain': [1.0, 2.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=p8SIY47PNEw4vx1GOsJM7bA',\n",
       "   'use': 'indicator'},\n",
       "  'expenditure_per_student_primary_percent_of_gdp_per_person': {'availability': [1998,\n",
       "    2010],\n",
       "   'domain': [1.0659999999999998, 61.64],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdFJTUEVleTM0cE5jTnlTMk41ajBGclE',\n",
       "   'use': 'indicator'},\n",
       "  'expenditure_per_student_secondary_percent_of_gdp_per_person': {'availability': [1998,\n",
       "    2010],\n",
       "   'domain': [2.676, 279.7],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdDBuUVIzbWwtaU5helpJVG5BMmxyX1E',\n",
       "   'use': 'indicator'},\n",
       "  'expenditure_per_student_tertiary_percent_of_gdp_per_person': {'availability': [1998,\n",
       "    2010],\n",
       "   'domain': [0.0, 2504.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdDJxdlN6cEtYMjMxdC1XdGdKOXR2bkE',\n",
       "   'use': 'indicator'},\n",
       "  'exports_percent_of_gdp': {'availability': [1961, 2011],\n",
       "   'domain': [0.183, 241.4],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdHZSTVMxaVdxQlFLR3NMbnBEWnVuTXc',\n",
       "   'use': 'indicator'},\n",
       "  'exports_unit_value_index_2000100': {'availability': [1980, 2009],\n",
       "   'domain': [0.7137, 2367.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEddLKU1fnfSSA',\n",
       "   'use': 'indicator'},\n",
       "  'external_debt_total_us_not_inflation_adjusted': {'availability': [1970,\n",
       "    2008],\n",
       "   'domain': [0.0, 402500000000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEdQY2PxSsxxJQ',\n",
       "   'use': 'indicator'},\n",
       "  'extreme_poverty_percent_people_below_125_a_day': {'availability': [1978,\n",
       "    2013],\n",
       "   'domain': [0.0, 94.64],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=t1YAVXUoD3iJKy2mSq2Padw',\n",
       "   'use': 'indicator'},\n",
       "  'extreme_temperature_affected_annual_number': {'availability': [1971, 2008],\n",
       "   'domain': [0.0, 77000000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=ryPd-H6Kn3wcHC50zyImqUg',\n",
       "   'use': 'indicator'},\n",
       "  'extreme_temperature_deaths_annual_number': {'availability': [1971, 2008],\n",
       "   'domain': [0.0, 20090.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=r4WUTsck3NfccM6UsKlGF7g',\n",
       "   'use': 'indicator'},\n",
       "  'falls_deaths_per_100000_people': {'availability': [2002, 2004],\n",
       "   'domain': [0.0, 23.39],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=0AgogXXPMARyldEJZajRXMWZPTE9nUXFBNUdPcG5yT2c',\n",
       "   'use': 'indicator'},\n",
       "  'family_workers_percent_of_labour_force': {'availability': [1980, 2007],\n",
       "   'domain': [0.0, 69.2],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rW7k_DdDKlGgJhzYRuNvguw',\n",
       "   'use': 'indicator'},\n",
       "  'female_agriculture_workers_percent_of_female_labour_force': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [0.0, 95.9],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rraOr_PTB0jcQ60TagEH_WQ',\n",
       "   'use': 'indicator'},\n",
       "  'female_family_workers_percent_of_female_labour_force': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [0.0, 89.1],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rjFKVVoWIVbTgdtJK2xOZqQ',\n",
       "   'use': 'indicator'},\n",
       "  'female_industry_workers_percent_of_female_labour_force': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [0.5, 56.2],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rA5BvUGX_Es43DaKb3FidUg',\n",
       "   'use': 'indicator'},\n",
       "  'female_long_term_unemployment_rate_percent': {'availability': [1980, 2007],\n",
       "   'domain': [0.0, 30.3],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rT5EpK40a19zVodp1HV1xGw',\n",
       "   'use': 'indicator'},\n",
       "  'female_population_with_projections': {'availability': [1950, 2050],\n",
       "   'domain': [6893.0, 793100000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=t6nZVbvqsF-BbyheqUxerZQ',\n",
       "   'use': 'indicator'},\n",
       "  'female_salaried_workers_percent_of_female_labour_force': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [0.8, 99.9],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rhuyv42EAyApMwy4tDYm3XQ',\n",
       "   'use': 'indicator'},\n",
       "  'female_self_employed_percent_of_female_labour_force': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [0.0, 96.1],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rIe2Y4f4Ehde4I4BGPN2VBg',\n",
       "   'use': 'indicator'},\n",
       "  'female_service_workers_percent_of_female_labour_force': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [2.0, 98.5],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=r1B3mjfpBItUmvrhqaRgTWQ',\n",
       "   'use': 'indicator'},\n",
       "  'females_aged_15_24_employment_rate_percent': {'availability': [1991, 2007],\n",
       "   'domain': [2.7, 81.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rRS0FbArN8jYsY25X-ZiU9A',\n",
       "   'use': 'indicator'},\n",
       "  'females_aged_15_24_unemployment_rate_percent': {'availability': [1981,\n",
       "    2005],\n",
       "   'domain': [2.4, 50.9],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rMf--YMvuEKf2LVppT63Xvw',\n",
       "   'use': 'indicator'},\n",
       "  'females_aged_15_64_labour_force_participation_rate_percent': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [8.5, 92.2],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rLRScmH2JZmjxsCGW2LB1cA',\n",
       "   'use': 'indicator'},\n",
       "  'females_aged_15plus_employment_rate_percent': {'availability': [1991, 2007],\n",
       "   'domain': [7.8, 86.2],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rOXvRa2ZC2oXqBn7gz62IMg',\n",
       "   'use': 'indicator'},\n",
       "  'females_aged_15plus_labour_force_participation_rate_percent': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [8.5, 91.1],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rZyHDNFsPBn7cqZCIzDQtIg',\n",
       "   'use': 'indicator'},\n",
       "  'females_aged_15plus_unemployment_rate_percent': {'availability': [1981,\n",
       "    2005],\n",
       "   'domain': [1.0, 31.6],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rcHjAQAzF2e1yR1R-hywCEw',\n",
       "   'use': 'indicator'},\n",
       "  'females_aged_25_54_labour_force_participation_rate_percent': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [9.7, 96.4],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rgdYcit5cC0wxcLAQf9kJ_Q',\n",
       "   'use': 'indicator'},\n",
       "  'females_aged_25_54_unemployment_rate_percent': {'availability': [1981,\n",
       "    2005],\n",
       "   'domain': [0.6, 28.6],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=r9StWVETzyX9Lv-r4-2sh6w',\n",
       "   'use': 'indicator'},\n",
       "  'females_aged_55plus_unemployment_rate_percent': {'availability': [1981,\n",
       "    2005],\n",
       "   'domain': [0.0, 26.5],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rz8kJ7CIyckuQAWgHUHe4sA',\n",
       "   'use': 'indicator'},\n",
       "  'females_aged_65plus_labour_force_participation_rate_percent': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [0.1, 84.5],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rEZ0xOSmU7UuX7iOyL0Xp3g',\n",
       "   'use': 'indicator'},\n",
       "  'fertility_rate': {'domain': [0, 10],\n",
       "   'scales': ['linear'],\n",
       "   'sourceLink': 'https://gapminder.org',\n",
       "   'use': 'indicator'},\n",
       "  'fixed_line_and_mobile_phone_subscribers_per_100_people': {'availability': [1975,\n",
       "    2006],\n",
       "   'domain': [0.01166, 211.2],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEcfLoOcU6GAfg',\n",
       "   'use': 'indicator'},\n",
       "  'flood_affected_annual_number': {'availability': [1970, 2008],\n",
       "   'domain': [0.0, 242700000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rsCDusOObseaoBUdarzw7Kw',\n",
       "   'use': 'indicator'},\n",
       "  'flood_deaths_annual_number': {'availability': [1970, 2008],\n",
       "   'domain': [0.0, 30000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rtESPUlrTyLEoHpURqE8RAg',\n",
       "   'use': 'indicator'},\n",
       "  'food_supply_kilocalories_per_person_and_day': {'availability': [1961, 2007],\n",
       "   'domain': [1418.0, 3819.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdGlYVVpXX20tbU13STZyVG0yNkRrZnc',\n",
       "   'use': 'indicator'},\n",
       "  'foreign_direct_investment_net_inflows_percent_of_gdp': {'availability': [1970,\n",
       "    2010],\n",
       "   'domain': [-82.89, 564.9],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdE03VFhRMnBpMGZhQ19Vbk9pMGU5VUE',\n",
       "   'use': 'indicator'},\n",
       "  'foreign_direct_investment_net_outflows_percent_of_gdp': {'availability': [1960,\n",
       "    2010],\n",
       "   'domain': [-35.56, 50.06],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdHQtSzBhVXA2WTNrVDFleUZvZ0doTUE',\n",
       "   'use': 'indicator'},\n",
       "  'forest_area_sq_km': {'availability': [1990, 2010],\n",
       "   'domain': [0.0, 8093000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdFRuaV91Mm9JeUhwR1hHRXJhV3ZBQkE',\n",
       "   'use': 'indicator'},\n",
       "  'forest_coverage_percent': {'availability': [1990, 2005],\n",
       "   'domain': [0.03, 100.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pp59adS3CHWfRGgfhjf8FBQ',\n",
       "   'use': 'indicator'},\n",
       "  'forest_land_total_area_ha': {'availability': [1990, 2005],\n",
       "   'domain': [1000.0, 809300000.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pp59adS3CHWeB1N1HlpFQVQ',\n",
       "   'use': 'indicator'},\n",
       "  'forest_products_removal_per_ha_dollar': {'availability': [2005, 2005],\n",
       "   'domain': [1.0, 1300.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pp59adS3CHWd9CVdfFx1dEw',\n",
       "   'use': 'indicator'},\n",
       "  'forest_products_removal_total_dollar': {'availability': [2005, 2005],\n",
       "   'domain': [12000.0, 19030000000.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pp59adS3CHWf66stZ2oNUAA',\n",
       "   'use': 'indicator'},\n",
       "  'gdp_const_ppp2011_dollar': {'domain': [1000000.0, 100000000000000.0],\n",
       "   'interpolation': 'exp',\n",
       "   'scales': ['log', 'linear'],\n",
       "   'sourceLink': 'https://gapminder.org',\n",
       "   'use': 'indicator'},\n",
       "  'gdp_p_cap_const_ppp2011_dollar': {'color': {'palette': {'0': '#62CCE3',\n",
       "     '1': '#B4DE79',\n",
       "     '2': '#E1CE00',\n",
       "     '3': '#F77481'}},\n",
       "   'domain': [300, 140000],\n",
       "   'interpolation': 'exp',\n",
       "   'scales': ['log', 'linear'],\n",
       "   'sourceLink': 'http://www.gapminder.org/news/data-sources-dont-panic-end-poverty',\n",
       "   'use': 'indicator'},\n",
       "  'gdp_per_capita_yearly_growth': {'availability': [1801, 2019],\n",
       "   'domain': [-67.45, 144.7],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=1tAnT0EeP67_DoOJCXb3Wd0hqjVMe0KWHPwUH22-BNmQ',\n",
       "   'use': 'indicator'},\n",
       "  'gdp_total_yearly_growth': {'availability': [1801, 2013],\n",
       "   'domain': [-66.52, 189.7],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=1LklNUuBgFLNcGyG63kqjyze7N8_fDlNLAWZG4YKwJXc',\n",
       "   'use': 'indicator'},\n",
       "  'gdppercapita_growth_over_next_10_years': {'availability': [1800, 2001],\n",
       "   'domain': [-17.08, 43.93],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tvllZwGIbhwxLD7EXFhPeXQ',\n",
       "   'use': 'indicator'},\n",
       "  'gdppercapita_growth_percent_per_year': {'availability': [1961, 2010],\n",
       "   'domain': [-50.29, 92.59],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdEdDWHhBcFpjMUo4MGE2X2Q4WXFQRGc',\n",
       "   'use': 'indicator'},\n",
       "  'gdppercapita_us_inflation_adjusted': {'availability': [1960, 2011],\n",
       "   'domain': [54.51, 108100.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdHo5S0J6ekhVOF9QaVhod05QSGV4T3c',\n",
       "   'use': 'indicator'},\n",
       "  'gdpperemployee_us_inflation_adjusted': {'availability': [1980, 2006],\n",
       "   'domain': [536.0, 64150.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rcTO3doih5lvJCjgLSvlajA',\n",
       "   'use': 'indicator'},\n",
       "  'gdpperworking_hour_us_inflation_adjusted': {'availability': [1980, 2006],\n",
       "   'domain': [2.83, 37.99],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=r6kTHMinnVedj8gPsUtfZ0g',\n",
       "   'use': 'indicator'},\n",
       "  'geo': {'scales': ['ordinal'],\n",
       "   'sourceLink': 'https://docs.google.com/spreadsheets/d/1OxmGUNWeADbPJkQxVPupSOK5MbAECdqThnvyPrwG5Os/pub',\n",
       "   'use': 'property'},\n",
       "  'geo.latitude': {'scales': ['linear'],\n",
       "   'sourceLink': 'https://gapminder.org',\n",
       "   'use': 'property'},\n",
       "  'geo.longitude': {'scales': ['linear'],\n",
       "   'sourceLink': 'https://gapminder.org',\n",
       "   'use': 'property'},\n",
       "  'geo.name': {'scales': ['ordinal'],\n",
       "   'sourceLink': 'https://docs.google.com/spreadsheets/d/1OxmGUNWeADbPJkQxVPupSOK5MbAECdqThnvyPrwG5Os/pub',\n",
       "   'use': 'property'},\n",
       "  'geo.region': {'color': {'palette': {'_default': ['#ffb600',\n",
       "      '#ffaa14',\n",
       "      '#ffc500',\n",
       "      '#fb6d19',\n",
       "      '#ffb600',\n",
       "      '#9b4838'],\n",
       "     'africa': ['#00d5e9',\n",
       "      '#00c8ec',\n",
       "      '#00e1ec',\n",
       "      '#0098df',\n",
       "      '#77dff7',\n",
       "      '#0586c6'],\n",
       "     'americas': ['#7feb00',\n",
       "      '#5de200',\n",
       "      '#81f201',\n",
       "      '#00b900',\n",
       "      '#b5ea32',\n",
       "      '#008d36'],\n",
       "     'asia': ['#ff5872',\n",
       "      '#ff5178',\n",
       "      '#ff658a',\n",
       "      '#da0025',\n",
       "      '#fa4e73',\n",
       "      '#b2043a'],\n",
       "     'europe': ['#ffe700',\n",
       "      '#fbdd00',\n",
       "      '#fff400',\n",
       "      '#fbaf09',\n",
       "      '#ffe700',\n",
       "      '#b17f4a']},\n",
       "    'selectable': False,\n",
       "    'shades': {'fill1': 0,\n",
       "     'fill2': 1,\n",
       "     'fill3': 2,\n",
       "     'print_fill': 4,\n",
       "     'print_stroke': 5,\n",
       "     'shade': 3}},\n",
       "   'scales': ['ordinal'],\n",
       "   'sourceLink': 'https://docs.google.com/spreadsheets/d/1OxmGUNWeADbPJkQxVPupSOK5MbAECdqThnvyPrwG5Os/pub',\n",
       "   'use': 'property'},\n",
       "  'gini': {'scales': ['linear'],\n",
       "   'sourceLink': 'http://www.gapminder.org/news/data-sources-dont-panic-end-poverty',\n",
       "   'use': 'indicator'},\n",
       "  'gnipercapita_atlasmethod_current_us': {'availability': [1962, 2015],\n",
       "   'domain': [40.0, 186700.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdFVrVDZQUnRwZ2lqT2lPMXcySXZwRmc',\n",
       "   'use': 'indicator'},\n",
       "  'gnipercapita_constant_2000_us': {'availability': [1961, 2011],\n",
       "   'domain': [47.84, 75380.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdFdqZ0NOdjluMmoyUTBTWTRjWWQzQVE',\n",
       "   'use': 'indicator'},\n",
       "  'gnipercapita_ppp_current_international': {'availability': [1980, 2011],\n",
       "   'domain': [160.0, 87030.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdGhJcHAwanc2aFdZeXl1WTVZQnJjb1E',\n",
       "   'use': 'indicator'},\n",
       "  'government_and_society_aid_given_percent_of_aid': {'availability': [1971,\n",
       "    2007],\n",
       "   'domain': [0.008971999999999999, 71.41],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=t3IAEOsfHK-z6rvGLCDR74g',\n",
       "   'use': 'indicator'},\n",
       "  'government_health_spending_of_total_gov_spending_percent': {'availability': [1995,\n",
       "    2010],\n",
       "   'domain': [0.1, 42.38],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEd7K-YgYOkGFQ',\n",
       "   'use': 'indicator'},\n",
       "  'government_health_spending_per_person_international_dollar': {'availability': [1995,\n",
       "    2010],\n",
       "   'domain': [0.12, 5692.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tZ3uHUdw0H__Siyj78GXsGg',\n",
       "   'use': 'indicator'},\n",
       "  'government_health_spending_per_person_us': {'availability': [1995, 2010],\n",
       "   'domain': [0.03, 6942.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tBwBBkViOJoycBhLnWHqwSQ',\n",
       "   'use': 'indicator'},\n",
       "  'government_share_of_total_health_spending_percent': {'availability': [1995,\n",
       "    2010],\n",
       "   'domain': [0.39, 99.91],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEcJI3KBJnrlDQ',\n",
       "   'use': 'indicator'},\n",
       "  'hdi_human_development_index': {'availability': [1980, 2011],\n",
       "   'domain': [0.174, 0.943],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tyadrylIpQ1K_iHP407374Q',\n",
       "   'use': 'indicator'},\n",
       "  'health_aid_given_percent_of_aid': {'availability': [1971, 2007],\n",
       "   'domain': [0.03834, 37.44],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tRybjVoG5Ah9yhKcEx16u5Q',\n",
       "   'use': 'indicator'},\n",
       "  'hepb3_immunized_percent_of_one_year_olds': {'availability': [1989, 2011],\n",
       "   'domain': [1.0, 99.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=t7pU8fR9_ZzRFIMF3FX47YQ',\n",
       "   'use': 'indicator'},\n",
       "  'hib3_immunized_percent_of_one_year_olds': {'availability': [1991, 2011],\n",
       "   'domain': [0.0, 99.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=thClNiXoQqfJDzTv0SYIHZg',\n",
       "   'use': 'indicator'},\n",
       "  'high_technology_exports_percent_of_manufactured_exports': {'availability': [1988,\n",
       "    2010],\n",
       "   'domain': [0.0, 83.64],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdEZkTFJZR2RNMVFuRmUzbktyTkoxREE',\n",
       "   'use': 'indicator'},\n",
       "  'hiv_deaths_in_children_1_59_months_per_1000_births': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [0.0, 40.15],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=t4C4M_ynK9Ho8tGRj6a5U5w',\n",
       "   'use': 'indicator'},\n",
       "  'hiv_deaths_in_children_1_59_months_total_deaths': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [0.0, 33150.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tQe6yinBBauXLvBFroZEL3Q',\n",
       "   'use': 'indicator'},\n",
       "  'hourly_compensation_us': {'availability': [1980, 2006],\n",
       "   'domain': [0.21, 41.05],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rEF20Sw6Sy7tn4DKsKSDDMQ',\n",
       "   'use': 'indicator'},\n",
       "  'how_far_to_the_north': {'availability': [1700, 2030],\n",
       "   'domain': [-51.75, 78.0],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rAIffGKCmiCdzTl1C0AR2nw',\n",
       "   'use': 'indicator'},\n",
       "  'hydro_power_generation_per_person': {'availability': [1960, 2011],\n",
       "   'domain': [5.884e-06, 3.4389999999999996],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tSjVrGemv30eCh3jPZkXYCQ',\n",
       "   'use': 'indicator'},\n",
       "  'hydro_power_generation_total': {'availability': [1960, 2011],\n",
       "   'domain': [85.98, 62100000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=t1MShlv870O6LmFNEHazdEg',\n",
       "   'use': 'indicator'},\n",
       "  'ifpri_underweight_children': {'availability': [1990, 2005],\n",
       "   'domain': [0.2, 59.5],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdHFkZlc5WkhVQmVmeU0tR0RsSUdTU0E',\n",
       "   'use': 'indicator'},\n",
       "  'imports_percent_of_gdp': {'availability': [1960, 2010],\n",
       "   'domain': [0.06735, 217.3],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdEhLMVdnUjZ0d05WWkhjT0FjSDIwQmc',\n",
       "   'use': 'indicator'},\n",
       "  'imports_unit_value_index_2000100': {'availability': [1980, 2008],\n",
       "   'domain': [3.889, 723.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEcL6zpB3Sj1Wg',\n",
       "   'use': 'indicator'},\n",
       "  'improved_sanitation_overall_access_percent': {'availability': [1990, 2010],\n",
       "   'domain': [3.0, 101.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdE4tekJPYkR4WmJqYTRPWjc3OTl4WUE',\n",
       "   'use': 'indicator'},\n",
       "  'improved_sanitation_rural_access_percent': {'availability': [1990, 2010],\n",
       "   'domain': [0.0, 100.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdFNPMTE3d3FHTHdYaGFMXzJyNDBGd3c',\n",
       "   'use': 'indicator'},\n",
       "  'improved_sanitation_urban_access_percent': {'availability': [1990, 2010],\n",
       "   'domain': [10.0, 100.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEfLbPu48DrKfQ',\n",
       "   'use': 'indicator'},\n",
       "  'improved_water_source_overall_access_percent': {'availability': [1990,\n",
       "    2010],\n",
       "   'domain': [2.0, 100.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEd98lRwrU3gIg',\n",
       "   'use': 'indicator'},\n",
       "  'improved_water_source_rural_access_percent': {'availability': [1991, 2010],\n",
       "   'domain': [1.0, 100.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdFhhVzhXUEh0U0hlQ3M3TTZIQTFySUE',\n",
       "   'use': 'indicator'},\n",
       "  'improved_water_source_urban_access_percent': {'availability': [1990, 2010],\n",
       "   'domain': [6.0, 100.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdDlJNzNjcVc5Sm9memNuVHRzY1FsOXc',\n",
       "   'use': 'indicator'},\n",
       "  'income_per_person_gdppercapita_ppp_inflation_adjusted': {'availability': [1800,\n",
       "    2015],\n",
       "   'domain': [142.0, 182700.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj1jiMAkmq1iMg',\n",
       "   'use': 'indicator'},\n",
       "  'income_per_person_long_series': {'availability': [730, 2019],\n",
       "   'domain': [240.4, 184600.0],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=1SKMoV61HUNwWfYNCZs2M9zgMWqVrs9YrbJxs5HQbJSQ',\n",
       "   'use': 'indicator'},\n",
       "  'income_per_person_with_projections': {'availability': [1764, 2018],\n",
       "   'domain': [281.9, 119800.0],\n",
       "   'scales': ['Log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rX3Jfop_ebuY-chuMpCgmRg',\n",
       "   'use': 'indicator'},\n",
       "  'income_share_of_2nd_poorest_20percent': {'availability': [1979, 2007],\n",
       "   'domain': [2.2, 16.23],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tXRyZGCfHsWMmr53VFxrqTw',\n",
       "   'use': 'indicator'},\n",
       "  'income_share_of_2nd_richest_20percent': {'availability': [1979, 2007],\n",
       "   'domain': [11.98, 25.18],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=twSOUYrIFh2W2snDUt7VaQg',\n",
       "   'use': 'indicator'},\n",
       "  'income_share_of_middle_20percent': {'availability': [1979, 2007],\n",
       "   'domain': [5.46, 18.92],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=t_-14NtXH6xZX48xHG75z5w',\n",
       "   'use': 'indicator'},\n",
       "  'income_share_of_poorest_10percent': {'availability': [1979, 2007],\n",
       "   'domain': [-0.11, 6.11],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=trzLWJQU4SZMDpeVg3XnL5A',\n",
       "   'use': 'indicator'},\n",
       "  'income_share_of_poorest_20percent': {'availability': [1979, 2007],\n",
       "   'domain': [0.66, 13.29],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEdIyrBS31XAaw',\n",
       "   'use': 'indicator'},\n",
       "  'income_share_of_richest_10percent': {'availability': [1979, 2007],\n",
       "   'domain': [17.49, 65.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tmKvydPl_roGIQBrMYA6C4g',\n",
       "   'use': 'indicator'},\n",
       "  'income_share_of_richest_20percent': {'availability': [1979, 2007],\n",
       "   'domain': [30.15, 78.25],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tLnCxItXzRSu9gH-5PyEFDw',\n",
       "   'use': 'indicator'},\n",
       "  'industrial_water_withdrawal_percent_of_total': {'availability': [1967,\n",
       "    2007],\n",
       "   'domain': [0.06, 85.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rGKP-BBylLOM11iGahW1lxA',\n",
       "   'use': 'indicator'},\n",
       "  'industry_percent_of_gdp': {'availability': [1960, 2010],\n",
       "   'domain': [1.882, 95.71],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdHA2UEFOYTlUTWtzV29xbHFuMU00SFE',\n",
       "   'use': 'indicator'},\n",
       "  'industry_workers_percent_of_labour_force': {'availability': [1980, 2007],\n",
       "   'domain': [2.1, 50.2],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rqcJTExcUqNdolB-7flqebQ',\n",
       "   'use': 'indicator'},\n",
       "  'inequality_index_gini': {'availability': [1978, 2010],\n",
       "   'domain': [19.4, 74.33],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEcjeKHnZq6RIg',\n",
       "   'use': 'indicator'},\n",
       "  'infant_mortality_rate_per_1000_births': {'availability': [1800, 2015],\n",
       "   'domain': [1.5, 420.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj0NpF2PTov2Cw',\n",
       "   'use': 'indicator'},\n",
       "  'infectious_tb_detection_rate_percent': {'availability': [1990, 2007],\n",
       "   'domain': [0.0, 239.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rDb6EYc4YUTBRfXlBvjHYlg',\n",
       "   'use': 'indicator'},\n",
       "  'infectious_tb_detection_rate_percent_dots_only': {'availability': [1995,\n",
       "    2007],\n",
       "   'domain': [0.0, 196.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rjGHot8B6YSt3kPYEG8nANA',\n",
       "   'use': 'indicator'},\n",
       "  'infectious_tb_new_cases_per_100000_estimated': {'availability': [1990,\n",
       "    2007],\n",
       "   'domain': [0.0, 443.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rVyfxaPK4dJ9B6ZdgG34F-g',\n",
       "   'use': 'indicator'},\n",
       "  'infectious_tb_new_cases_per_100000_reported': {'availability': [1990, 2007],\n",
       "   'domain': [0.0, 287.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=r0pD5wznwEUJ0ipdxAWQjiA',\n",
       "   'use': 'indicator'},\n",
       "  'infectious_tb_number_of_new_cases_estimated': {'availability': [1990, 2007],\n",
       "   'domain': [0.0, 872500.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rOPfJcbTTIyS-vxDWbkfNLA',\n",
       "   'use': 'indicator'},\n",
       "  'infectious_tb_number_of_new_cases_reported': {'availability': [1990, 2007],\n",
       "   'domain': [0.0, 592600.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rcbx0R-TXbkqRCyvKzn08fg',\n",
       "   'use': 'indicator'},\n",
       "  'infectious_tb_treatment_dots_completed_percent': {'availability': [1994,\n",
       "    2006],\n",
       "   'domain': [0.0, 100.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rewICFMTvBuer8UoJIK0yUg',\n",
       "   'use': 'indicator'},\n",
       "  'inflation_annual_percent': {'availability': [1961, 2011],\n",
       "   'domain': [-49.42, 26760.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdGJoOUJXalk3STFYUG85MkxlbnQxMmc',\n",
       "   'use': 'indicator'},\n",
       "  'injury_deaths_in_children_1_59_months_per_1000_births': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [0.0, 27.07],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tfOi0Ji7pJDJbxJVqwJXj9g',\n",
       "   'use': 'indicator'},\n",
       "  'injury_deaths_in_children_1_59_months_total_deaths': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [0.0, 48910.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tnRIpcH0InZUFz7f2ziXKog',\n",
       "   'use': 'indicator'},\n",
       "  'internal_renewable_water_cu_meters_per_person': {'availability': [1962,\n",
       "    2007],\n",
       "   'domain': [5.412999999999999, 17120000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=riLRFECHMsTq7OTa2KYZCWA',\n",
       "   'use': 'indicator'},\n",
       "  'internet_users_per_100_people': {'availability': [1990, 2011],\n",
       "   'domain': [0.0, 96.62],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdGwzSGV5OE9FOGhURlhTdEQtMW1TNkE',\n",
       "   'use': 'indicator'},\n",
       "  'internet_users_total_number': {'availability': [1990, 2010],\n",
       "   'domain': [0.0, 460100000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdC1PcWJUZldDelFyQXdaOEtDUG9HSUE',\n",
       "   'use': 'indicator'},\n",
       "  'investments_percent_of_gdp': {'availability': [1960, 2010],\n",
       "   'domain': [-17.38, 113.6],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdG9sVVF6dHpGdnhQU3BkMlAtNHFwVkE',\n",
       "   'use': 'indicator'},\n",
       "  'life_expectancy': {'domain': [10, 83],\n",
       "   'scales': ['linear'],\n",
       "   'sourceLink': 'https://docs.google.com/spreadsheets/d/1H3nzTwbn8z4lJ5gJ_WfDgCeGEXK3PVGcNjQ_U5og8eo/pub?gid=1',\n",
       "   'use': 'indicator'},\n",
       "  'life_expectancy_at_birth_data_from_ihme': {'availability': [1990, 2013],\n",
       "   'domain': [15.6, 83.9],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdG9jSHA0WklHU0dqUnBCVUpVOXFzQUE',\n",
       "   'use': 'indicator'},\n",
       "  'life_expectancy_at_birth_with_projections': {'availability': [1765, 2099],\n",
       "   'domain': [1.0, 95.64],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tiAiXcrneZrUnnJ9dBU-PAw',\n",
       "   'use': 'indicator'},\n",
       "  'life_expectancy_female': {'availability': [1950, 2099],\n",
       "   'domain': [22.7, 99.06],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=12VhzicKNQCt8I4gmtBmulpfzDfnGjvFPr38g2wDcEGU',\n",
       "   'use': 'indicator'},\n",
       "  'life_expectancy_male': {'availability': [1950, 2099],\n",
       "   'domain': [16.46, 92.3],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=1iHsRp1TARpgh2CbuZGP5fj6jeY3Iz5cBLKTDlukVSHI',\n",
       "   'use': 'indicator'},\n",
       "  'life_expectancy_years': {'availability': [1800, 2015],\n",
       "   'domain': [1.0, 84.1],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj2tPLxKvvnNPA',\n",
       "   'use': 'indicator'},\n",
       "  'literacy_rate_adult_female_percent_of_females_ages_15_above': {'availability': [1975,\n",
       "    2011],\n",
       "   'domain': [3.1830000000000003, 100.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEc96gAEE60-Zg',\n",
       "   'use': 'indicator'},\n",
       "  'literacy_rate_adult_male_percent_of_males_ages_15_and_above': {'availability': [1975,\n",
       "    2011],\n",
       "   'domain': [9.383, 100.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEd4fn4YYOvuOg',\n",
       "   'use': 'indicator'},\n",
       "  'literacy_rate_adult_total_percent_of_people_ages_15_and_above': {'availability': [1975,\n",
       "    2011],\n",
       "   'domain': [8.685, 100.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEdrsBnj2ROXAg',\n",
       "   'use': 'indicator'},\n",
       "  'literacy_rate_youth_female_percent_of_females_ages_15_24': {'availability': [1975,\n",
       "    2011],\n",
       "   'domain': [6.664, 100.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEf96wv_abR0OA',\n",
       "   'use': 'indicator'},\n",
       "  'literacy_rate_youth_male_percent_of_males_ages_15_24': {'availability': [1975,\n",
       "    2011],\n",
       "   'domain': [13.69, 100.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEe7OxrqKcSWfw',\n",
       "   'use': 'indicator'},\n",
       "  'literacy_rate_youth_total_percent_of_people_ages_15_24': {'availability': [1975,\n",
       "    2011],\n",
       "   'domain': [14.0, 100.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEepmgV0TLjBag',\n",
       "   'use': 'indicator'},\n",
       "  'liver_cancer_deaths_per_100000_men': {'availability': [1955, 2002],\n",
       "   'domain': [0.03, 93.3],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj3rojF8TmZtOw',\n",
       "   'use': 'indicator'},\n",
       "  'liver_cancer_deaths_per_100000_women': {'availability': [1955, 2002],\n",
       "   'domain': [0.01, 47.3],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj2ItBsVpK9VBA',\n",
       "   'use': 'indicator'},\n",
       "  'liver_cancer_new_cases_per_100000_men': {'availability': [1953, 2002],\n",
       "   'domain': [0.5, 98.9],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj1u0KpZbsopCA',\n",
       "   'use': 'indicator'},\n",
       "  'liver_cancer_new_cases_per_100000_women': {'availability': [1953, 2002],\n",
       "   'domain': [0.2, 57.3],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj2xhaKENmyRKw',\n",
       "   'use': 'indicator'},\n",
       "  'liver_cancer_number_of_female_deaths': {'availability': [2002, 2002],\n",
       "   'domain': [1.0, 89060.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj2LwNOwMSnJQA',\n",
       "   'use': 'indicator'},\n",
       "  'liver_cancer_number_of_male_deaths': {'availability': [2002, 2002],\n",
       "   'domain': [2.0, 232800.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj1RD88c3w1vNg',\n",
       "   'use': 'indicator'},\n",
       "  'liver_cancer_number_of_new_female_cases': {'availability': [2002, 2002],\n",
       "   'domain': [0.0, 94940.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj1_IYQtrqQCKQ',\n",
       "   'use': 'indicator'},\n",
       "  'liver_cancer_number_of_new_male_cases': {'availability': [2002, 2002],\n",
       "   'domain': [2.0, 250900.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj2LIYJXVW9EVw',\n",
       "   'use': 'indicator'},\n",
       "  'long_term_unemployment_rate_percent': {'availability': [1980, 2007],\n",
       "   'domain': [0.0, 30.5],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rCRqVXC95LeKm_EvLrFNXKw',\n",
       "   'use': 'indicator'},\n",
       "  'lung_cancer_deaths_per_100000_men': {'availability': [1950, 2002],\n",
       "   'domain': [0.26, 84.93],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj2_ibAjsuNgYA',\n",
       "   'use': 'indicator'},\n",
       "  'lung_cancer_deaths_per_100000_women': {'availability': [1950, 2002],\n",
       "   'domain': [0.1, 29.95],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj2hZorcv6aVLA',\n",
       "   'use': 'indicator'},\n",
       "  'lung_cancer_new_cases_per_100000_men': {'availability': [1953, 2002],\n",
       "   'domain': [0.5, 94.6],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj1kCRbsnNcTVg',\n",
       "   'use': 'indicator'},\n",
       "  'lung_cancer_new_cases_per_100000_women': {'availability': [1953, 2002],\n",
       "   'domain': [0.1, 38.88],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj0UaQ2DNjK9Lg',\n",
       "   'use': 'indicator'},\n",
       "  'lung_cancer_number_of_female_deaths': {'availability': [2002, 2002],\n",
       "   'domain': [0.0, 109100.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj0RMyUI1QFfaA',\n",
       "   'use': 'indicator'},\n",
       "  'lung_cancer_number_of_male_deaths': {'availability': [2002, 2002],\n",
       "   'domain': [1.0, 231300.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj2Az43qu-dQJQ',\n",
       "   'use': 'indicator'},\n",
       "  'lung_cancer_number_of_new_female_cases': {'availability': [2002, 2002],\n",
       "   'domain': [0.0, 126700.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj2oQAW8_53cVQ',\n",
       "   'use': 'indicator'},\n",
       "  'lung_cancer_number_of_new_male_cases': {'availability': [2002, 2002],\n",
       "   'domain': [1.0, 269600.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj0sd0z2MGpeeA',\n",
       "   'use': 'indicator'},\n",
       "  'malaria_cases_per_100000_reported': {'availability': [1990, 2006],\n",
       "   'domain': [0.0, 94580.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pp59adS3CHWcGnFB9pe14OA',\n",
       "   'use': 'indicator'},\n",
       "  'malaria_deaths_in_children_1_59_months_per_1000_births': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [0.0, 38.66],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tunqKEwokfnJMDA1g7W8KwA',\n",
       "   'use': 'indicator'},\n",
       "  'malaria_deaths_in_children_1_59_months_total_deaths': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [0.0, 217400.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=t1Vf-4rkGlG20pYzuGib3hw',\n",
       "   'use': 'indicator'},\n",
       "  'malaria_deaths_per_100000_reported': {'availability': [1990, 2006],\n",
       "   'domain': [0.0, 610.3],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pp59adS3CHWfGZUVJ2L-dCw',\n",
       "   'use': 'indicator'},\n",
       "  'malaria_number_of_cases_reported': {'availability': [1990, 2006],\n",
       "   'domain': [0.0, 30500000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pp59adS3CHWczfPHQMiqxCg',\n",
       "   'use': 'indicator'},\n",
       "  'malaria_number_of_deaths_reported': {'availability': [1990, 2006],\n",
       "   'domain': [0.0, 77000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pp59adS3CHWfZGL9qouvTbQ',\n",
       "   'use': 'indicator'},\n",
       "  'male_agriculture_workers_percent_of_male_labour_force': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [0.0, 84.3],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rtt_ihBgyYafmDJpThQecoA',\n",
       "   'use': 'indicator'},\n",
       "  'male_family_workers_percent_of_male_labour_force': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [0.0, 61.5],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rJMlhr2YOvL2EE5NhpbfYAg',\n",
       "   'use': 'indicator'},\n",
       "  'male_industry_workers_percent_of_male_labour_force': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [3.3, 52.7],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rmLnlLnnm2kjBbNsBZYxqow',\n",
       "   'use': 'indicator'},\n",
       "  'male_long_term_unemployment_rate_percent': {'availability': [1980, 2007],\n",
       "   'domain': [0.0, 30.7],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rezDaYxOOBEFgR4TiPN9qtw',\n",
       "   'use': 'indicator'},\n",
       "  'male_population_with_projections': {'availability': [1950, 2050],\n",
       "   'domain': [8248.0, 820700000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tZMsbTkrY0k4OkkkXEfp6pA',\n",
       "   'use': 'indicator'},\n",
       "  'male_salaried_workers_percent_of_male_labour_force': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [4.9, 98.7],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=riwXFQrsUhb96BT2yFC9rFw',\n",
       "   'use': 'indicator'},\n",
       "  'male_self_employed_percent_of_male_labour_force': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [1.3, 87.2],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=raAOA9AFRPzq5ilAm5Qa65Q',\n",
       "   'use': 'indicator'},\n",
       "  'male_service_workers_percent_of_male_labour_force': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [10.5, 84.4],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=ravxsZdBslM5zF5HwDsX30g',\n",
       "   'use': 'indicator'},\n",
       "  'males_aged_15_24_employment_rate_percent': {'availability': [1991, 2007],\n",
       "   'domain': [13.4, 83.4],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rCyfwvThkbHVlNVw48vHybg',\n",
       "   'use': 'indicator'},\n",
       "  'males_aged_15_24_unemployment_rate_percent': {'availability': [1981, 2005],\n",
       "   'domain': [2.9, 41.1],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rGS7_GpdXrYyjhKkAFcLHGA',\n",
       "   'use': 'indicator'},\n",
       "  'males_aged_15_64_labour_force_participation_rate_percent': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [51.1, 95.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rB4P-M5oVWuv9CyQ5s1mvOA',\n",
       "   'use': 'indicator'},\n",
       "  'males_aged_15plus_employment_rate_percent': {'availability': [1991, 2007],\n",
       "   'domain': [39.9, 90.8],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rTRt7Z5m9i9D9-vvipvdx2w',\n",
       "   'use': 'indicator'},\n",
       "  'males_aged_15plus_labour_force_participation_rate_percent': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [48.0, 94.5],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rImcpLhokI0fXWNA-2nSWFw',\n",
       "   'use': 'indicator'},\n",
       "  'males_aged_15plus_unemployment_rate_percent': {'availability': [1981, 2005],\n",
       "   'domain': [1.1, 21.1],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=r5_68IYi0bC1bRjGMFYFk8g',\n",
       "   'use': 'indicator'},\n",
       "  'males_aged_25_54_labour_force_participation_rate_percent': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [63.3, 99.1],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rj102tw9R1O_d56Uw_eqBzg',\n",
       "   'use': 'indicator'},\n",
       "  'males_aged_25_54_unemployment_rate_percent': {'availability': [1981, 2005],\n",
       "   'domain': [0.7, 18.5],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rjkDFSPV2pw9Pbnz2kpiqPQ',\n",
       "   'use': 'indicator'},\n",
       "  'males_aged_55plus_unemployment_rate_percent': {'availability': [1981, 2005],\n",
       "   'domain': [0.4, 20.7],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rSMPg9BmVRsqE8_k1ARUudA',\n",
       "   'use': 'indicator'},\n",
       "  'males_aged_65plus_labour_force_participation_rate_percent': {'availability': [1980,\n",
       "    2007],\n",
       "   'domain': [0.9, 99.6],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=r_hbrX2qsjHphzAAlwsxhRA',\n",
       "   'use': 'indicator'},\n",
       "  'malnutrition_weight_for_age_percent_of_children_under_5': {'availability': [1968,\n",
       "    2011],\n",
       "   'domain': [0.0, 26.8],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdGhpWDY5QVlOdUxpVGhaMVlUOE9iX0E',\n",
       "   'use': 'indicator'},\n",
       "  'market_value_of_listed_companies_percent_of_gdp': {'availability': [1988,\n",
       "    2008],\n",
       "   'domain': [0.004137, 561.4],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEfMkeuokDLVIQ',\n",
       "   'use': 'indicator'},\n",
       "  'maternal_deaths_lifetime_risk_per_1000': {'availability': [2005, 2010],\n",
       "   'domain': [0.02101, 142.9],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=t2ha4jg1M70Le8CH3wHcPIQ',\n",
       "   'use': 'indicator'},\n",
       "  'maternal_deaths_total_number': {'availability': [1800, 2013],\n",
       "   'domain': [0.0, 171000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tOJs331rbt36sNBXE8g5AUg',\n",
       "   'use': 'indicator'},\n",
       "  'maternal_mortality_ratio_per_100000_live_births': {'availability': [1800,\n",
       "    2013],\n",
       "   'domain': [1.0, 2680.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEcVezxiMlWaRw',\n",
       "   'use': 'indicator'},\n",
       "  'maternal_mortality_ratio_who': {'availability': [1990, 2010],\n",
       "   'domain': [2.0, 1900.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdE5UaXVKa2hWbUFzcUJJbVdHOE1VcFE',\n",
       "   'use': 'indicator'},\n",
       "  'math_achievement_4th_grade': {'availability': [1995, 2007],\n",
       "   'domain': [224.0, 607.0],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj3Iw3kqbjJTZQ',\n",
       "   'use': 'indicator'},\n",
       "  'math_achievement_8th_grade': {'availability': [1995, 2007],\n",
       "   'domain': [276.0, 609.0],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj3fwfA8XA25Eg',\n",
       "   'use': 'indicator'},\n",
       "  'mcv_immunized_percent_of_one_year_olds': {'availability': [1980, 2011],\n",
       "   'domain': [0.0, 99.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEenS18Yjl_SOQ',\n",
       "   'use': 'indicator'},\n",
       "  'mean_years_in_school_men_25_to_34_years': {'availability': [1970, 2009],\n",
       "   'domain': [0.4, 14.8],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdHlYZHNWN1YtWVNudU9UbWJOd19nUVE',\n",
       "   'use': 'indicator'},\n",
       "  'mean_years_in_school_men_25_years_and_older': {'availability': [1970, 2009],\n",
       "   'domain': [0.2, 14.2],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdC03X1ZWNGJHR3FBb0Q3VjJIdV9OSmc',\n",
       "   'use': 'indicator'},\n",
       "  'mean_years_in_school_women_25_to_34_years': {'availability': [1970, 2009],\n",
       "   'domain': [0.1, 15.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdC1MYzAtY2xPQ2xOR1lMeGhYSWlpR0E',\n",
       "   'use': 'indicator'},\n",
       "  'mean_years_in_school_women_25_years_and_older': {'availability': [1970,\n",
       "    2009],\n",
       "   'domain': [0.0, 14.2],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdHFEVVhHZElzb0VRWE9pc3JmZHg2dWc',\n",
       "   'use': 'indicator'},\n",
       "  'mean_years_in_school_women_of_reproductive_age_15_to_44': {'availability': [1970,\n",
       "    2009],\n",
       "   'domain': [0.1, 14.7],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdEttYjNNUTlkUTdrMUQ0c3BTR0dINlE',\n",
       "   'use': 'indicator'},\n",
       "  'mean_years_in_school_women_percent_men_25_to_34_years': {'availability': [1970,\n",
       "    2009],\n",
       "   'domain': [6.667000000000001, 146.3],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdG5JUDZjTHR5SzZFZjBqa2JYYUxBclE',\n",
       "   'use': 'indicator'},\n",
       "  'measles_deaths_in_children_1_59_months_per_1000_births': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [0.0, 13.05],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tfyKUbGu10P_WOgHSOHhCJg',\n",
       "   'use': 'indicator'},\n",
       "  'measles_deaths_in_children_1_59_months_total_deaths': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [0.0, 81280.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tYZAce4wGXEp5Jve3AI7yWQ',\n",
       "   'use': 'indicator'},\n",
       "  'median_age_years': {'availability': [1950, 2050],\n",
       "   'domain': [14.34, 55.78],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tH113JLeGr5DhWgtqN2FxWg',\n",
       "   'use': 'indicator'},\n",
       "  'medical_doctors_per_1000_people': {'availability': [1960, 2009],\n",
       "   'domain': [0.0038, 6.399],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj2yo1IzJQmbZg',\n",
       "   'use': 'indicator'},\n",
       "  'meningitis_deaths_in_children_1_59_months_per_1000_births': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [0.0, 5.957000000000001],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tZhYsw0sliDInwowT0iWTLQ',\n",
       "   'use': 'indicator'},\n",
       "  'meningitis_deaths_in_children_1_59_months_total_deaths': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [0.0, 29880.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tX-vHLzEZ7mqfk1vf6SbUXA',\n",
       "   'use': 'indicator'},\n",
       "  'merchandise_trade_percent_of_gdp': {'availability': [1960, 2010],\n",
       "   'domain': [4.532, 986.6],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdDJFSzRHa3g1Q29BOWlla0tTOEFyVGc',\n",
       "   'use': 'indicator'},\n",
       "  'military_expenditure_percent_of_gdp': {'availability': [1988, 2011],\n",
       "   'domain': [0.046419999999999996, 117.4],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdDNPQjFBT2s5Zko3U2V0NFQzS3owRnc',\n",
       "   'use': 'indicator'},\n",
       "  'motorcycle_deaths_per_100000_people': {'availability': [1985, 2008],\n",
       "   'domain': [0.021, 27.96],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=t7-m0musxnWbugcQ9ECH4KA',\n",
       "   'use': 'indicator'},\n",
       "  'multisector_cross_cutting_aid_given_percent_of_aid': {'availability': [1968,\n",
       "    2007],\n",
       "   'domain': [0.0035039999999999997, 51.27],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tBJ1rYQ-nA6fqI6_Gn3mBNg',\n",
       "   'use': 'indicator'},\n",
       "  'municipal_water_withdrawal_cu_meters_per_person': {'availability': [1967,\n",
       "    2007],\n",
       "   'domain': [1.334, 287.1],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=ruUmTRBZ5xYjpOAhOT9VQbw',\n",
       "   'use': 'indicator'},\n",
       "  'municipal_water_withdrawal_percent_of_total': {'availability': [1967, 2007],\n",
       "   'domain': [0.4, 98.4],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=r58mA3XNUvBov6M_1T_FiUg',\n",
       "   'use': 'indicator'},\n",
       "  'murder_per_100000_people': {'availability': [1950, 2005],\n",
       "   'domain': [0.0, 131.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tZgPgT_sx3VdAuyDxEzenYA',\n",
       "   'use': 'indicator'},\n",
       "  'murder_total_deaths': {'availability': [2002, 2004],\n",
       "   'domain': [0.0, 61230.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tIgjxaAg3M6kuHRcQTjEgsQ',\n",
       "   'use': 'indicator'},\n",
       "  'murdered_15_29_per_100000_people': {'availability': [1950, 2008],\n",
       "   'domain': [0.0, 190.3],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0AgogXXPMARyldDFGSGhtOWt0cS1JbEIzS29EZzlQRXc',\n",
       "   'use': 'indicator'},\n",
       "  'murdered_30_44_per_100000_people': {'availability': [1950, 2008],\n",
       "   'domain': [0.0, 262.6],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0AgogXXPMARyldG51d0o2T0JQWXFTMUlydWFsSTZMeFE',\n",
       "   'use': 'indicator'},\n",
       "  'murdered_45_59_per_100000_people': {'availability': [1950, 2008],\n",
       "   'domain': [0.0, 112.7],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0AgogXXPMARyldElCSWl6TkpaZ1JpcXVxa2tmUGhxbFE',\n",
       "   'use': 'indicator'},\n",
       "  'murdered_60plus_per_100000_people': {'availability': [1950, 2008],\n",
       "   'domain': [0.0, 72.21],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0AgogXXPMARyldGF1WHhpZFVQTWswclJHdjE3MkZ4c3c',\n",
       "   'use': 'indicator'},\n",
       "  'murdered_children_0_14_per_100000_people': {'availability': [1950, 2008],\n",
       "   'domain': [0.0, 7.444],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=0AgogXXPMARyldC1rcTI5OU50Mnc1djdkNXpnWUFrZmc',\n",
       "   'use': 'indicator'},\n",
       "  'murdered_men_per_100000_people': {'availability': [1950, 2004],\n",
       "   'domain': [0.0, 239.7],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tHgVOu-6TYQ6Kig0Ur3Y-kw',\n",
       "   'use': 'indicator'},\n",
       "  'murdered_women_per_100000_people': {'availability': [1950, 2004],\n",
       "   'domain': [0.0, 23.32],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tyeSLo9Zpmw_e05IR3EoReg',\n",
       "   'use': 'indicator'},\n",
       "  'natural_gas_production_per_person': {'availability': [1970, 2008],\n",
       "   'domain': [0.0007412000000000001, 74.26],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEf0IBo_AGrgKA',\n",
       "   'use': 'indicator'},\n",
       "  'natural_gas_production_total': {'availability': [1970, 2008],\n",
       "   'domain': [51000.0, 561400000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEfv2K6dZmskWg',\n",
       "   'use': 'indicator'},\n",
       "  'natural_gas_proved_reserves_total': {'availability': [1980, 2008],\n",
       "   'domain': [13500000.0, 39440000000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEc5qiv87tr3NA',\n",
       "   'use': 'indicator'},\n",
       "  'natural_gas_proven_reserves_per_person': {'availability': [1980, 2008],\n",
       "   'domain': [0.1967, 30170.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEfZd6DbNF1MKA',\n",
       "   'use': 'indicator'},\n",
       "  'ncd_deaths_in_children_1_59_months_per_1000_births': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [0.5277, 12.02],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tqAEpy6pMtN7ULlF6uIzEog',\n",
       "   'use': 'indicator'},\n",
       "  'ncd_deaths_in_children_1_59_months_total_deaths': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [2.0, 74200.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tfmFGk3PIvTgimegQiHOtSQ',\n",
       "   'use': 'indicator'},\n",
       "  'net_barter_terms_of_trade_2000_100': {'availability': [1980, 2009],\n",
       "   'domain': [20.43, 721.1],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEe5SueBIj6eSw',\n",
       "   'use': 'indicator'},\n",
       "  'new_births_total_number_estimated': {'availability': [1800, 2015],\n",
       "   'domain': [103.0, 30150000.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdERQeFplM2VWczVrMTFfMXVrQkJpVXc',\n",
       "   'use': 'indicator'},\n",
       "  'newborn_deaths': {'sourcelink': 'https://docs.google.com/spreadsheets/d/1iTvolhgIMta3MmsoPkGnewJiaybev3MvR9e_7mxZ48o/pubhtml',\n",
       "   'use': 'indicator'},\n",
       "  'newborn_mortality_rate_per_1000': {'sourcelink': 'https://docs.google.com/spreadsheets/d/1S3Kcw96vp5-fZbaM7Lck_06IbJ8DagThGI5KHnzeSps/pub',\n",
       "   'use': 'indicator'},\n",
       "  'newly_hiv_infected_number_all_ages': {'availability': [1990, 2011],\n",
       "   'domain': [60.0, 720000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdFk2WGhwakxTQkt4NUtTdFJDSlFHQ3c',\n",
       "   'use': 'indicator'},\n",
       "  'newly_hiv_infected_percent_age_15_49': {'availability': [1990, 2011],\n",
       "   'domain': [0.06, 5.87],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdDREUkRSRDJtQmFNTE1TYmRYX1pFNEE',\n",
       "   'use': 'indicator'},\n",
       "  'nuclear_power_generation_per_person': {'availability': [1960, 2011],\n",
       "   'domain': [2.136e-06, 0.7659999999999999],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=t28UhT9IaWINamciSiJIS7w',\n",
       "   'use': 'indicator'},\n",
       "  'nuclear_power_generation_total': {'availability': [1960, 2011],\n",
       "   'domain': [0.0, 72140000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=trRb8ZIaBOD4KzikShshZ2g',\n",
       "   'use': 'indicator'},\n",
       "  'number_of_child_deaths': {'availability': [1800, 2015],\n",
       "   'domain': [1.0, 8291000.0],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdGhSY2trbEVpYnNsMENqendaVm5ucnc',\n",
       "   'use': 'indicator'},\n",
       "  'number_of_people_in_poverty': {'availability': [1978, 2013],\n",
       "   'domain': [0.0, 837.5],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=1edXplIOkF3Y5OuEWp_aVapd92-OD5aVFAPECZLgP8cA',\n",
       "   'use': 'indicator'},\n",
       "  'oil_consumption_per_cap': {'availability': [1965, 2010],\n",
       "   'domain': [0.011059999999999999, 12.23],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdERNZmlfUGM5YVE3bmEwODdlRDFqSkE',\n",
       "   'use': 'indicator'},\n",
       "  'oil_consumption_total': {'availability': [1965, 2010],\n",
       "   'domain': [57000.0, 951400000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEcm0fIa0IVtKw',\n",
       "   'use': 'indicator'},\n",
       "  'oil_production_per_person': {'availability': [1965, 2011],\n",
       "   'domain': [0.001382, 245.8],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEeUgUuvuJTONQ',\n",
       "   'use': 'indicator'},\n",
       "  'oil_production_total': {'availability': [1965, 2011],\n",
       "   'domain': [0.0, 569500000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEdNIa3ckVXaCQ',\n",
       "   'use': 'indicator'},\n",
       "  'oil_proved_reserves_total': {'availability': [1980, 2008],\n",
       "   'domain': [6970000.0, 36050000000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEfJfS1WYrLeBA',\n",
       "   'use': 'indicator'},\n",
       "  'oil_proven_reserves_per_person': {'availability': [1980, 2008],\n",
       "   'domain': [0.1085, 13800.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEfrI4YlDJDUag',\n",
       "   'use': 'indicator'},\n",
       "  'old_version_of_income_per_person_version_3': {'availability': [1700, 2007],\n",
       "   'domain': [83.33, 47750.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj0npaJxInyYDg',\n",
       "   'use': 'indicator'},\n",
       "  'old_version_of_income_per_person_version_8': {'availability': [1700, 2009],\n",
       "   'domain': [268.5, 119800.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdE5xWmcyYVZJQzJvOFpZUklqX3lkSkE',\n",
       "   'use': 'indicator'},\n",
       "  'other_deaths_in_newborn_per_1000_births': {'availability': [2008, 2008],\n",
       "   'domain': [0.0, 12.53],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tiYIen5OQP0fKiQbg6g8VyA',\n",
       "   'use': 'indicator'},\n",
       "  'other_deaths_in_newborn_total_deaths': {'availability': [2008, 2008],\n",
       "   'domain': [0.0, 203800.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tyPO4OLCIZtK5zcdkafcHMA',\n",
       "   'use': 'indicator'},\n",
       "  'other_infections_deaths_in_children_1_59_months_per_1000_birt': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [0.08436, 38.48],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tVAqgYwCDZfcq9jSCI87SAw',\n",
       "   'use': 'indicator'},\n",
       "  'other_infections_deaths_in_children_1_59_months_total_deaths': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [1.0, 97800.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tiehFos6jB-lekEAH028deA',\n",
       "   'use': 'indicator'},\n",
       "  'other_social_services_aid_given_percent_of_aid': {'availability': [1967,\n",
       "    2007],\n",
       "   'domain': [0.08077999999999999, 96.34],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tqjUijP4mi_dHKkCZjOn0oA',\n",
       "   'use': 'indicator'},\n",
       "  'out_of_pocket_share_of_total_health_spending_percent': {'availability': [1995,\n",
       "    2010],\n",
       "   'domain': [0.7011, 99.61],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tXf6_OUYVmyEMZo0g4DQw6w',\n",
       "   'use': 'indicator'},\n",
       "  'pab_immunized_percent_of_newborns': {'availability': [1980, 2011],\n",
       "   'domain': [1.0, 99.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tnvxVX8aOAl0dwDNujbELPQ',\n",
       "   'use': 'indicator'},\n",
       "  'patent_applications_total': {'availability': [1984, 2002],\n",
       "   'domain': [1.0, 496600.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEd5FA9xlfO9eA',\n",
       "   'use': 'indicator'},\n",
       "  'patents_granted_total': {'availability': [1984, 2002],\n",
       "   'domain': [1.0, 215100.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEdMioz5VJKXHw',\n",
       "   'use': 'indicator'},\n",
       "  'patents_in_force_total': {'availability': [1984, 2002],\n",
       "   'domain': [1.0, 1474000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEe371ZVZl73eA',\n",
       "   'use': 'indicator'},\n",
       "  'people_living_with_hiv_number_all_ages': {'availability': [1979, 2011],\n",
       "   'domain': [10.0, 5600000.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEe1GaiYJX2qGA',\n",
       "   'use': 'indicator'},\n",
       "  'personal_computers_per_100_people': {'availability': [1990, 2006],\n",
       "   'domain': [0.01, 94.58],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEdFW4nUY4gQdA',\n",
       "   'use': 'indicator'},\n",
       "  'personal_computers_total': {'availability': [1990, 2006],\n",
       "   'domain': [3.0, 240500000.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEfUXdC83YSzfw',\n",
       "   'use': 'indicator'},\n",
       "  'pertussis_deaths_in_children_1_59_months_per_1000_births': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [0.0, 8.573],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=t4RbfeK6Dtt2srxw4REoXxQ',\n",
       "   'use': 'indicator'},\n",
       "  'pertussis_deaths_in_children_1_59_months_total_deaths': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [0.0, 86090.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tdOlzqGxVdDnnCpfWyyGX1A',\n",
       "   'use': 'indicator'},\n",
       "  'plane_crash_affected_annual_number': {'availability': [1970, 2008],\n",
       "   'domain': [0.0, 902.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rhbS3kWOfMzvY4ofUFoeFJg',\n",
       "   'use': 'indicator'},\n",
       "  'plane_crash_deaths_annual_number': {'availability': [1970, 2008],\n",
       "   'domain': [0.0, 520.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rSv5aMDwESiKg-yA__-tRFg',\n",
       "   'use': 'indicator'},\n",
       "  'planted_forest_area_ha': {'availability': [1990, 2005],\n",
       "   'domain': [1000.0, 31370000.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pp59adS3CHWc4aJd9fV8zZg',\n",
       "   'use': 'indicator'},\n",
       "  'pneumonia_deaths_in_children_1_59_months_per_1000_births': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [0.0, 57.32],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tCe8N5KXAYCJteQokAqVM_A',\n",
       "   'use': 'indicator'},\n",
       "  'pneumonia_deaths_in_children_1_59_months_total_deaths': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [0.0, 203600.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tcYkTk6KMHsrXzcM9WyUxbw',\n",
       "   'use': 'indicator'},\n",
       "  'pneumonia_deaths_in_newborn_per_1000_births': {'availability': [2008, 2008],\n",
       "   'domain': [0.0, 9.531],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tOXHWd6PcUGK3Dg-k2N8Clw',\n",
       "   'use': 'indicator'},\n",
       "  'pneumonia_deaths_in_newborn_total_deaths': {'availability': [2008, 2008],\n",
       "   'domain': [0.0, 168000.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tjvbVGhVx7YCk1uguLrkaag',\n",
       "   'use': 'indicator'},\n",
       "  'poisonings_deaths_per_100000_people': {'availability': [2002, 2004],\n",
       "   'domain': [0.0, 59.83],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=0AgogXXPMARyldGhVLXVsSTB0aDY2eXdLaEt1T0psdXc',\n",
       "   'use': 'indicator'},\n",
       "  'population': {'domain': [14000, 1400000000],\n",
       "   'scaleType': 'log',\n",
       "   'scales': ['linear', 'log'],\n",
       "   'sourceLink': 'http://www.gapminder.org/news/data-sources-dont-panic-end-poverty',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_0_4_years_both_sexes_percent': {'availability': [1950,\n",
       "    2050],\n",
       "   'domain': [3.1, 21.68],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rsOONWhmGBtzb4j__0MJv7Q',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_0_4_years_female_percent': {'availability': [1950, 2050],\n",
       "   'domain': [2.736, 33.33],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=roLpNPQkooNCFzpTWXQ48Dw',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_0_4_years_male_percent': {'availability': [1950, 2050],\n",
       "   'domain': [3.219, 23.53],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rIpDsoI9lVTCh_PRqm66Tcw',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_0_4_years_total_number': {'availability': [1950, 2050],\n",
       "   'domain': [2000.0, 130100000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rovrK0Uj9JPN95P9adob0tw',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_10_14_years_both_sexes_percent': {'availability': [1950,\n",
       "    2050],\n",
       "   'domain': [3.161, 17.02],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rmViJSkPd4xZneV2Q6gzFwQ',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_10_14_years_female_percent': {'availability': [1950, 2050],\n",
       "   'domain': [2.752, 33.33],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rJwVmwTFzheqVUzYWwSqXlA',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_10_14_years_male_percent': {'availability': [1950, 2050],\n",
       "   'domain': [3.2510000000000003, 18.18],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rmQZ_H88rIhF3315QBZpcIQ',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_10_14_years_total_number': {'availability': [1950, 2050],\n",
       "   'domain': [1000.0, 127900000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=r9ztOSMb5WNHUBLwlgJqPSw',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_15_19_years_both_sexes_percent': {'availability': [1950,\n",
       "    2050],\n",
       "   'domain': [3.3110000000000004, 15.69],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=r4VUu4a4AaWqXXoAsFz-z-Q',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_15_19_years_female_percent': {'availability': [1950, 2050],\n",
       "   'domain': [0.0, 16.67],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rYEHWlJHaLjHtcsSpRRJeig',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_15_19_years_male_percent': {'availability': [1950, 2050],\n",
       "   'domain': [3.397, 16.67],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rYfw4UJZSizLRtgDs73d5jA',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_15_19_years_total_number': {'availability': [1950, 2050],\n",
       "   'domain': [1000.0, 127300000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rFmJvuotJYE30q4nWEvpGJA',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_20_39_years_both_sexes_percent': {'availability': [1950,\n",
       "    2050],\n",
       "   'domain': [17.69, 54.34],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rTU20DXn0Bi7bTwW5T6J3gg',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_20_39_years_female_percent': {'availability': [1950, 2050],\n",
       "   'domain': [0.0, 46.16],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rWpQHQIQdntj6BEK8OIuWYw',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_20_39_years_male_percent': {'availability': [1950, 2050],\n",
       "   'domain': [12.5, 58.7],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rab1GmqpzJkWd4MF0hieVgA',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_20_39_years_total_number': {'availability': [1950, 2050],\n",
       "   'domain': [4000.0, 479300000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rHrin819tHgZudARnpsN0Mg',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_40_59_years_both_sexes_percent': {'availability': [1950,\n",
       "    2050],\n",
       "   'domain': [6.736000000000001, 36.2],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rLwpdKbW2OykBbvVxhYKrhA',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_40_59_years_female_percent': {'availability': [1950, 2050],\n",
       "   'domain': [0.0, 37.79],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rElErbmOnSM6om03a1uinKQ',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_40_59_years_male_percent': {'availability': [1950, 2050],\n",
       "   'domain': [0.0, 39.3],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rcQkob1yAm-to1scz51flgw',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_40_59_years_total_number': {'availability': [1950, 2050],\n",
       "   'domain': [2000.0, 454600000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=ri9SXMNc7TpebHucmAYepGQ',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_5_9_years_both_sexes_percent': {'availability': [1950,\n",
       "    2050],\n",
       "   'domain': [3.1, 18.28],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rC5UskPU6PRVlmN7eXoridw',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_5_9_years_female_percent': {'availability': [1950, 2050],\n",
       "   'domain': [2.736, 33.33],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=re3efChATTYAT5bRqoaChXA',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_5_9_years_male_percent': {'availability': [1950, 2050],\n",
       "   'domain': [3.415, 20.93],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rgyZrNmSfXcPJQxJK7IxnEw',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_5_9_years_total_number': {'availability': [1950, 2050],\n",
       "   'domain': [2000.0, 128600000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=r83X3yfjC6ENYWoo41yDehg',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_60plus_years_both_sexes_percent': {'availability': [1950,\n",
       "    2050],\n",
       "   'domain': [0.0, 44.18],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rH6TEe8f_WNq_8x9pWZ3W0A',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_60plus_years_female_percent': {'availability': [1950, 2050],\n",
       "   'domain': [0.0, 47.43],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rjhBvpeRgCxBq0EnQVN6b0w',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_60plus_years_male_percent': {'availability': [1950, 2050],\n",
       "   'domain': [0.0, 40.67],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rSkhGgUVN74knEhSAhBSSKA',\n",
       "   'use': 'indicator'},\n",
       "  'population_aged_60plus_years_total_number': {'availability': [1950, 2050],\n",
       "   'domain': [0.0, 440400000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rVD6A2uAmeIE0BQNW1KSg3A',\n",
       "   'use': 'indicator'},\n",
       "  'population_density_per_square_km': {'availability': [1950, 2010],\n",
       "   'domain': [0.011000000000000001, 23760.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tVY51lNaCL9m9xPqf29oFAA',\n",
       "   'use': 'indicator'},\n",
       "  'population_growth_annual_percent': {'availability': [1960, 2011],\n",
       "   'domain': [-10.96, 18.59],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdFY5Z0QzTzRRbzJ1VXdqdGVyNE0tcFE',\n",
       "   'use': 'indicator'},\n",
       "  'population_growth_annual_percent_with_projections': {'availability': [1953,\n",
       "    2048],\n",
       "   'domain': [-14.49, 17.17],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rZrHzR__kZfmw6L_xUx7cwg',\n",
       "   'use': 'indicator'},\n",
       "  'population_in_urban_agglomerations_m_1_million_percent_of_total': {'availability': [1960,\n",
       "    2007],\n",
       "   'domain': [1.379, 103.3],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEdwXv1tqzV4Xg',\n",
       "   'use': 'indicator'},\n",
       "  'population_policies_aid_given_percent_of_aid': {'availability': [1984,\n",
       "    2007],\n",
       "   'domain': [0.0001995, 24.05],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tjFf_YqwB6tgSG9L0r0Ywdg',\n",
       "   'use': 'indicator'},\n",
       "  'population_total': {'availability': [1800, 2015],\n",
       "   'domain': [50.0, 1376000000.0],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj0XOoBL_n5tAQ',\n",
       "   'use': 'indicator'},\n",
       "  'poverty_percent_people_below_2_a_day': {'availability': [1978, 2010],\n",
       "   'domain': [0.0, 98.45],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tBrbR3BlR_12WlTIlSTpu6g',\n",
       "   'use': 'indicator'},\n",
       "  'prematurity_deaths_in_newborn_per_1000_births': {'availability': [2008,\n",
       "    2008],\n",
       "   'domain': [0.0, 18.9],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tVMPnbOfGdvTRrtbuIbRw5w',\n",
       "   'use': 'indicator'},\n",
       "  'prematurity_deaths_in_newborn_total_deaths': {'availability': [2008, 2008],\n",
       "   'domain': [0.0, 240900.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tVyFL3CyRTuGEnRQErDeSLQ',\n",
       "   'use': 'indicator'},\n",
       "  'present_value_of_debt_percent_of_gni': {'availability': [2009, 2009],\n",
       "   'domain': [3.194, 316.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEeUceHo3wTOaQ',\n",
       "   'use': 'indicator'},\n",
       "  'primary_completion_rate_total_percent_of_relevant_age_group': {'availability': [1970,\n",
       "    2011],\n",
       "   'domain': [1.505, 140.2],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdEhTN2hlZ05ZczVwZDdVZlF5cUxJb2c',\n",
       "   'use': 'indicator'},\n",
       "  'primary_forest_area_ha': {'availability': [1990, 2005],\n",
       "   'domain': [1000.0, 460500000.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pp59adS3CHWeECA6Gf__BNQ',\n",
       "   'use': 'indicator'},\n",
       "  'primary_school_completion_percent_of_boys': {'availability': [1970, 2011],\n",
       "   'domain': [2.282, 145.8],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdGhCWnZrTGMwaTl5ek9QS0szMTIwcEE',\n",
       "   'use': 'indicator'},\n",
       "  'primary_school_completion_percent_of_girls': {'availability': [1970, 2011],\n",
       "   'domain': [0.7114, 138.8],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdFVxSEVZVWE1b0l6NWo5NzNTZ2IzWVE',\n",
       "   'use': 'indicator'},\n",
       "  'private_share_of_total_health_spending_percent': {'availability': [1995,\n",
       "    2010],\n",
       "   'domain': [0.09, 99.61],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEcXBFxQw8cFaw',\n",
       "   'use': 'indicator'},\n",
       "  'privately_owned_forest_land_percent': {'availability': [2005, 2005],\n",
       "   'domain': [0.0, 100.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pp59adS3CHWdFemmS_iN5fw',\n",
       "   'use': 'indicator'},\n",
       "  'privately_owned_other_wooded_land_percent': {'availability': [2005, 2005],\n",
       "   'domain': [0.0, 100.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pp59adS3CHWdtCylhQOQiXw',\n",
       "   'use': 'indicator'},\n",
       "  'production_sector_aid_given_percent_of_aid': {'availability': [1967, 2007],\n",
       "   'domain': [1.0490000000000002, 100.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tMjW0fdVf9VJaxVk_VFSUhg',\n",
       "   'use': 'indicator'},\n",
       "  'prostate_cancer_deaths_per_100000_men': {'availability': [1950, 2002],\n",
       "   'domain': [0.01, 61.78],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj2S9phBhTP3dw',\n",
       "   'use': 'indicator'},\n",
       "  'prostate_cancer_new_cases_per_100000_men': {'availability': [1953, 2002],\n",
       "   'domain': [0.3, 124.8],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj3qX39HWaQjEg',\n",
       "   'use': 'indicator'},\n",
       "  'prostate_cancer_number_of_male_deaths': {'availability': [2002, 2002],\n",
       "   'domain': [1.0, 32440.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj1ImYURLRHPRA',\n",
       "   'use': 'indicator'},\n",
       "  'prostate_cancer_number_of_new_male_cases': {'availability': [2002, 2002],\n",
       "   'domain': [1.0, 239900.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj2vXUZJKI0XHA',\n",
       "   'use': 'indicator'},\n",
       "  'pump_price_for_gasoline_us_per_liter': {'availability': [1991, 2006],\n",
       "   'domain': [0.0, 1.9],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEdz8B4njtoHPA',\n",
       "   'use': 'indicator'},\n",
       "  'ratio_of_girls_to_boys_in_primary_and_secondary_education_perc': {'availability': [1970,\n",
       "    2011],\n",
       "   'domain': [0.0, 146.8],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEcWM3hb0x-BZA',\n",
       "   'use': 'indicator'},\n",
       "  'ratio_of_young_literate_females_to_males_percent_ages_15_24': {'availability': [1975,\n",
       "    2010],\n",
       "   'domain': [24.33, 115.4],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdE8xR0dUWDI4ME02SjQ5bi1NYnFHN0E',\n",
       "   'use': 'indicator'},\n",
       "  'renewable_water_cu_meters_per_person': {'availability': [1962, 2007],\n",
       "   'domain': [7.197, 17120000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rPN9VekxwpUzwowMaxg9Ybw',\n",
       "   'use': 'indicator'},\n",
       "  'residential_electricity_use_per_person': {'availability': [1960, 2008],\n",
       "   'domain': [1.733, 11150.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=t7SFNscT9Ex0s9i3av7PxRQ',\n",
       "   'use': 'indicator'},\n",
       "  'residential_electricity_use_total': {'availability': [1960, 2008],\n",
       "   'domain': [5001000.0, 1392000000000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=teUZEfKw52HewO3D0YrQ5HA',\n",
       "   'use': 'indicator'},\n",
       "  'residential_energy_use_percent': {'availability': [1960, 2010],\n",
       "   'domain': [0.0, 98.3],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdEV1RkJqTEItQnJYVXJlZzVuc3Y3Mmc\\n\\n',\n",
       "   'use': 'indicator'},\n",
       "  'roads_paved_percent_of_total_roads': {'availability': [1990, 2009],\n",
       "   'domain': [0.8, 100.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdDBKd2V5VmxkYlJuUHAtOURzUkZzNEE',\n",
       "   'use': 'indicator'},\n",
       "  'rural_poverty_percent_rural_people_below_national_rural': {'availability': [1985,\n",
       "    2006],\n",
       "   'domain': [4.6, 83.5],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=trbzCrl1eb6QJG5D8j1-qQw',\n",
       "   'use': 'indicator'},\n",
       "  'salaried_workers_percent_of_labour_force': {'availability': [1980, 2007],\n",
       "   'domain': [3.2, 98.8],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rcO6CXqmEjV-wS-29qejCpw',\n",
       "   'use': 'indicator'},\n",
       "  'self_employed_percent_of_labour_force': {'availability': [1980, 2007],\n",
       "   'domain': [0.9, 89.3],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rSrvaPPzWvOyTMb9_dfJDtQ',\n",
       "   'use': 'indicator'},\n",
       "  'sepsis_deaths_in_newborn_per_1000_births': {'availability': [2008, 2008],\n",
       "   'domain': [0.0, 10.59],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tGVRSoAJtdwQ30CqCSexKJA',\n",
       "   'use': 'indicator'},\n",
       "  'sepsis_deaths_in_newborn_total_deaths': {'availability': [2008, 2008],\n",
       "   'domain': [0.0, 121400.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tRA1VmW2ZQ7sCsoD7AHIilg',\n",
       "   'use': 'indicator'},\n",
       "  'service_workers_percent_of_labour_force': {'availability': [1980, 2007],\n",
       "   'domain': [6.7, 89.8],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=r4orIwujZpT-z3Exd_9ARpQ',\n",
       "   'use': 'indicator'},\n",
       "  'services_percent_of_gdp': {'availability': [1960, 2010],\n",
       "   'domain': [2.295, 92.57],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdHk4eXd4RG5Rb1gtUTB0cUJ3M21qdGc',\n",
       "   'use': 'indicator'},\n",
       "  'sex_ratio_0_14_years': {'availability': [1950, 2050],\n",
       "   'domain': [87.64, 120.8],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tfWSVJPJHn3u7e_7MUaCbnw',\n",
       "   'use': 'indicator'},\n",
       "  'sex_ratio_15_24_years': {'availability': [1950, 2050],\n",
       "   'domain': [73.47, 449.8],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=ta-Da73B_Z7lKOZo8o-Ykvw',\n",
       "   'use': 'indicator'},\n",
       "  'sex_ratio_15_49_years': {'availability': [1950, 2050],\n",
       "   'domain': [70.26, 402.2],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tF_P_4G0g5bR3lYmQT9Tv4w',\n",
       "   'use': 'indicator'},\n",
       "  'sex_ratio_above_50_years': {'availability': [1950, 2050],\n",
       "   'domain': [46.23, 420.5],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tQP1KnoWcjjtz3wmq0bnGNA',\n",
       "   'use': 'indicator'},\n",
       "  'sex_ratio_all_age_groups': {'availability': [1950, 2050],\n",
       "   'domain': [74.35, 306.9],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tAQ31_cAELrHqNc2qa13uHw',\n",
       "   'use': 'indicator'},\n",
       "  'size': {'scales': ['ordinal'], 'sourceLink': '', 'use': 'property'},\n",
       "  'smoking_adults_percent_of_population_over_age_15': {'availability': [2002,\n",
       "    2005],\n",
       "   'domain': [4.3, 51.8],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tRccVp7QMaCXMv19CcxERaA',\n",
       "   'use': 'indicator'},\n",
       "  'smoking_men_percent_of_men_over_age_15': {'availability': [2002, 2005],\n",
       "   'domain': [7.6, 70.1],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=t60tpjxpWq3Bm-nBOvSm3og',\n",
       "   'use': 'indicator'},\n",
       "  'smoking_women_percent_of_women_over_age_15': {'availability': [2000, 2005],\n",
       "   'domain': [0.3, 52.4],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=thortPEzDn2xc_5bU255mPA',\n",
       "   'use': 'indicator'},\n",
       "  'stillbirths_per_1000_births': {'availability': [1590, 2000],\n",
       "   'domain': [3.1, 89.93],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tgJHpDEY4S7hxJpELGJueWA',\n",
       "   'use': 'indicator'},\n",
       "  'stomach_cancer_deaths_per_100000_men': {'availability': [1950, 2002],\n",
       "   'domain': [0.09, 92.51],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj3ky4_oAkatBw',\n",
       "   'use': 'indicator'},\n",
       "  'stomach_cancer_deaths_per_100000_women': {'availability': [1950, 2002],\n",
       "   'domain': [0.32, 44.18],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj0RpUEQPgGcZQ',\n",
       "   'use': 'indicator'},\n",
       "  'stomach_cancer_new_cases_per_100000_men': {'availability': [1953, 2002],\n",
       "   'domain': [0.6, 74.3],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj1XKvT6zwrMPw',\n",
       "   'use': 'indicator'},\n",
       "  'stomach_cancer_new_cases_per_100000_women': {'availability': [1953, 2002],\n",
       "   'domain': [0.6, 39.59],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj0je8zzeM4WXQ',\n",
       "   'use': 'indicator'},\n",
       "  'stomach_cancer_number_of_female_deaths': {'availability': [2002, 2002],\n",
       "   'domain': [2.0, 101700.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj1o1rJNFHpQZw',\n",
       "   'use': 'indicator'},\n",
       "  'stomach_cancer_number_of_male_deaths': {'availability': [2002, 2002],\n",
       "   'domain': [2.0, 206600.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj2NmCvOcsjpag',\n",
       "   'use': 'indicator'},\n",
       "  'stomach_cancer_number_of_new_female_cases': {'availability': [2002, 2002],\n",
       "   'domain': [3.0, 128500.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj1aXfw3aV83TA',\n",
       "   'use': 'indicator'},\n",
       "  'stomach_cancer_number_of_new_male_cases': {'availability': [2002, 2002],\n",
       "   'domain': [2.0, 264500.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj3XF3cD2lbecA',\n",
       "   'use': 'indicator'},\n",
       "  'storm_affected_annual_number': {'availability': [1970, 2008],\n",
       "   'domain': [0.0, 107400000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rAxnmm4ZL2HrYjIqJX0Ch-w',\n",
       "   'use': 'indicator'},\n",
       "  'storm_deaths_annual_number': {'availability': [1970, 2008],\n",
       "   'domain': [0.0, 300300.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=r0JePjBgBQqtuh5wh1Wz9CA',\n",
       "   'use': 'indicator'},\n",
       "  'subsistence_incomes_per_person': {'availability': [1279, 2009],\n",
       "   'domain': [0.6182, 262.8],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdGlGLVd4OGVfcVdScVBSS0JLVHpiMlE',\n",
       "   'use': 'indicator'},\n",
       "  'sugar_per_person_g_per_day': {'availability': [1961, 2004],\n",
       "   'domain': [0.0, 194.5],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj2sdmdhX9zuKg',\n",
       "   'use': 'indicator'},\n",
       "  'suicide_age_0_14_per_100000_people': {'availability': [1950, 2008],\n",
       "   'domain': [0.0, 3.2289999999999996],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=0AgogXXPMARyldGhJdkhTSHNEYTFKQjRrMlBwZXk1TkE',\n",
       "   'use': 'indicator'},\n",
       "  'suicide_age_15_29_per_100000_people': {'availability': [1950, 2008],\n",
       "   'domain': [0.0, 74.18],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0AgogXXPMARyldHNWNkNVR2Zwalc2U04zTjE5MDZlUkE',\n",
       "   'use': 'indicator'},\n",
       "  'suicide_age_30_44_per_100000_people': {'availability': [1950, 2008],\n",
       "   'domain': [0.0, 68.84],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0AgogXXPMARyldG9MeHpzRkNHQmZ4MmtxSnd2Y0o2UFE',\n",
       "   'use': 'indicator'},\n",
       "  'suicide_age_45_59_per_100000_people': {'availability': [1950, 2008],\n",
       "   'domain': [0.0, 94.88],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0AgogXXPMARyldGh2OWd2eVJiUnhScW9tOEtNTFkyQUE',\n",
       "   'use': 'indicator'},\n",
       "  'suicide_age_60plus_per_100000_people': {'availability': [1950, 2008],\n",
       "   'domain': [0.0, 93.8],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0AgogXXPMARyldEVRNFBZS2wzRmtZOWZEZDVZVG05dHc',\n",
       "   'use': 'indicator'},\n",
       "  'suicide_men_per_100000_people': {'availability': [1950, 2004],\n",
       "   'domain': [0.0, 80.43],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tB8ge4cxd8TL7yIV4ALm5NA',\n",
       "   'use': 'indicator'},\n",
       "  'suicide_per_100000_people': {'availability': [1950, 2005],\n",
       "   'domain': [0.0, 44.35],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=troMumuI0Y6Phpwnj6qXa_A',\n",
       "   'use': 'indicator'},\n",
       "  'suicide_total_deaths': {'availability': [2002, 2004],\n",
       "   'domain': [0.0, 272600.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tOS388dWYzO1_FANUaiwKuA',\n",
       "   'use': 'indicator'},\n",
       "  'suicide_women_per_100000_people': {'availability': [1950, 2004],\n",
       "   'domain': [0.02449, 26.97],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tUD6kmYmB_Bp85SRdEn1Krg',\n",
       "   'use': 'indicator'},\n",
       "  'sulfur_emissions_per_person_kg': {'availability': [1850, 2000],\n",
       "   'domain': [0.0, 4886.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj0uBndTxZAXNQ',\n",
       "   'use': 'indicator'},\n",
       "  'surface_area_sq_km': {'availability': [1961, 2010],\n",
       "   'domain': [2.0, 17100000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdFFWcWdEM0RXT1lRZ0wwRVNsakZCaWc',\n",
       "   'use': 'indicator'},\n",
       "  'surviving_kids_per_woman': {'availability': [1760, 2099],\n",
       "   'domain': [0.4884, 7.263],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/spreadsheet/pub?key=0ArtujvvFrPjVdGdFWmhqOEVXcUZha1hJWXAtWHlDSFE',\n",
       "   'use': 'indicator'},\n",
       "  'tax_revenue_percent_of_gdp': {'availability': [1990, 2010],\n",
       "   'domain': [0.08581, 61.02],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdFgzT1ZJWW4tdDB4Q2NETTVoTG1ZYlE',\n",
       "   'use': 'indicator'},\n",
       "  'tb_programme_dots_population_coverage_percent': {'availability': [1995,\n",
       "    2007],\n",
       "   'domain': [0.0, 100.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rKfjGaPxqirPDe8gnTVKuIw',\n",
       "   'use': 'indicator'},\n",
       "  'tb_with_hivplus_deaths_per_100000_estimated': {'availability': [1990, 2007],\n",
       "   'domain': [0.0, 365.4],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rUBCConMMLm9CxPXUGm325A',\n",
       "   'use': 'indicator'},\n",
       "  'tb_with_hivplus_existing_cases_per_100000_estimated': {'availability': [1990,\n",
       "    2007],\n",
       "   'domain': [0.0, 481.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rQV47xgPGa3qOPHoLiVon-w',\n",
       "   'use': 'indicator'},\n",
       "  'tb_with_hivplus_new_cases_per_100000_estimated': {'availability': [1990,\n",
       "    2007],\n",
       "   'domain': [0.0, 962.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rRCxDI3hB9E9zvc8qSe11qg',\n",
       "   'use': 'indicator'},\n",
       "  'tb_with_hivplus_number_of_deaths_estimated': {'availability': [1990, 2007],\n",
       "   'domain': [0.0, 100700.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rFAkC0Ae7oXxrVqosJ4NWUA',\n",
       "   'use': 'indicator'},\n",
       "  'tb_with_hivplus_number_of_existing_cases_estimated': {'availability': [1990,\n",
       "    2007],\n",
       "   'domain': [0.0, 167800.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=reiGJwoabnMOrPeFima_9ng',\n",
       "   'use': 'indicator'},\n",
       "  'tb_with_hivplus_number_of_new_cases_estimated': {'availability': [1990,\n",
       "    2007],\n",
       "   'domain': [0.0, 335600.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rERPF4iYruK0DhAw_0tb5nA',\n",
       "   'use': 'indicator'},\n",
       "  'teen_fertility_rate_births_per_1000_women_ages_15_19': {'availability': [1753,\n",
       "    2010],\n",
       "   'domain': [0.644, 285.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEdIphYUHxcdLg',\n",
       "   'use': 'indicator'},\n",
       "  'tetanus_deaths_in_newborn_per_1000_births': {'availability': [2008, 2008],\n",
       "   'domain': [0.0, 5.228],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=t1E7e32tlIxtJU9UhnR9nJg',\n",
       "   'use': 'indicator'},\n",
       "  'tetanus_deaths_in_newborn_total_deaths': {'availability': [2008, 2008],\n",
       "   'domain': [0.0, 11710.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tB6Gkh4rLC9yB2TXfHSApIA',\n",
       "   'use': 'indicator'},\n",
       "  'time': {'scales': ['time'], 'sourceLink': '', 'use': 'indicator'},\n",
       "  'total_gdp_ppp_inflation_adjusted': {'availability': [1800, 2013],\n",
       "   'domain': [1051000.0, 16390000000000.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0Asm_G8nr4TCSdDh2NWQtVDJhYlVsTElFRjJIYkNlSnc',\n",
       "   'use': 'indicator'},\n",
       "  'total_gdp_us_inflation_adjusted': {'availability': [1960, 2011],\n",
       "   'domain': [10300000.0, 11740000000000.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEfI4sLVvEQtHw',\n",
       "   'use': 'indicator'},\n",
       "  'total_gni_ppp_current_international': {'availability': [1980, 2011],\n",
       "   'domain': [79370000.0, 15230000000000.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdFl6cDkxcmZxM0pVNXBUYjE1ZmNqVUE',\n",
       "   'use': 'indicator'},\n",
       "  'total_health_spending_per_person_international_dollar': {'availability': [1995,\n",
       "    2010],\n",
       "   'domain': [9.267000000000001, 8362.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tR3MM-UTZ0B44BKxxWeAZaQ',\n",
       "   'use': 'indicator'},\n",
       "  'total_health_spending_per_person_us': {'availability': [1995, 2010],\n",
       "   'domain': [2.016, 8362.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEeL79qOoKtofQ',\n",
       "   'use': 'indicator'},\n",
       "  'total_health_spending_percent_of_gdp': {'availability': [1995, 2010],\n",
       "   'domain': [1.121, 22.85],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj3XYThRy0yJMA',\n",
       "   'use': 'indicator'},\n",
       "  'total_number_of_dollar_billionaires': {'availability': [2004, 2007],\n",
       "   'domain': [0.0, 415.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tNWhbu-1UIPPxtmRHtnINOQ',\n",
       "   'use': 'indicator'},\n",
       "  'total_population_with_projections': {'availability': [1086, 2100],\n",
       "   'domain': [0.0, 1692000000.0],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tL0jLxFBF9TbXIN_39b1qcQ',\n",
       "   'use': 'indicator'},\n",
       "  'total_reserves_percent_of_debt_to_foreigners': {'availability': [1970,\n",
       "    2010],\n",
       "   'domain': [-0.1685, 6517.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdC1iMVRuVUFUd08tVDM0ZDF0cnFtekE',\n",
       "   'use': 'indicator'},\n",
       "  'total_sulfur_emission_kilotonnes': {'availability': [1850, 2000],\n",
       "   'domain': [0.0, 14420.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=t9SYWh7siLJDzyZYN1R4HfQ',\n",
       "   'use': 'indicator'},\n",
       "  'total_water_withdrawal_billion_cu_meters': {'availability': [1962, 2007],\n",
       "   'domain': [0.0033740000000000003, 645.8],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rIG3ZWxv381t2bIL2BNaIVw',\n",
       "   'use': 'indicator'},\n",
       "  'trade_balance_percent_of_gdp': {'availability': [1960, 2010],\n",
       "   'domain': [-162.5, 81.7],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdFpGU185SkpmZ2V4ajNPZHFaaEwtU1E',\n",
       "   'use': 'indicator'},\n",
       "  'trade_balance_us_not_inflation_adjusted': {'availability': [1960, 2010],\n",
       "   'domain': [-769300000000.0, 348900000000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdEF6VzlKTzNCNjRnT0ZzMDg5a1d1Z3c',\n",
       "   'use': 'indicator'},\n",
       "  'traffic_deaths_men_per_100000_people': {'availability': [1950, 2004],\n",
       "   'domain': [0.6444, 195.4],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tUaaG6Pu9zT_BVIsLvGLQdA',\n",
       "   'use': 'indicator'},\n",
       "  'traffic_deaths_per_100000_people': {'availability': [1950, 2007],\n",
       "   'domain': [0.322, 117.9],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tK87SOy-oZlfW99UDD7L3hw',\n",
       "   'use': 'indicator'},\n",
       "  'traffic_deaths_women_per_100000_people': {'availability': [1950, 2004],\n",
       "   'domain': [0.3295, 40.37],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=t4pYrpNzP-JeR7zSjOyDofQ',\n",
       "   'use': 'indicator'},\n",
       "  'traffic_mortality_15_29_per_100000_people': {'availability': [1950, 2008],\n",
       "   'domain': [0.0, 56.07],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0AgogXXPMARyldEVPSG5qYzBfS0llQ1RnTl9wWXZodkE',\n",
       "   'use': 'indicator'},\n",
       "  'traffic_mortality_30_44_per_100000_people': {'availability': [1950, 2008],\n",
       "   'domain': [0.0, 52.57],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0AgogXXPMARyldGRqbENsQm5VMWFLdnRXV0w1S0tVSEE',\n",
       "   'use': 'indicator'},\n",
       "  'traffic_mortality_45_59_per_100000_people': {'availability': [1950, 2008],\n",
       "   'domain': [0.0, 86.42],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0AgogXXPMARyldFJrcW9wdlJITlBDYU9IbnRKdVllVGc',\n",
       "   'use': 'indicator'},\n",
       "  'traffic_mortality_60plus_per_100000_people': {'availability': [1950, 2008],\n",
       "   'domain': [0.0, 215.6],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'https://spreadsheets.google.com/pub?key=0AgogXXPMARyldEw5RXhuckZuU1V2aVAzNDFZaDUxa2c',\n",
       "   'use': 'indicator'},\n",
       "  'traffic_mortality_children_0_14_per_100000_people': {'availability': [1950,\n",
       "    2008],\n",
       "   'domain': [0.0, 24.26],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=0AgogXXPMARyldHB2MkhmVDcyMG1Oa3Y5eEhRQ0VlUWc',\n",
       "   'use': 'indicator'},\n",
       "  'traffic_total_deaths': {'availability': [1985, 2008],\n",
       "   'domain': [1.0, 284800.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tW9t1f9EQpvS4U04kWnk-og',\n",
       "   'use': 'indicator'},\n",
       "  'tsunami_affected_annual_number': {'availability': [1979, 2007],\n",
       "   'domain': [0.0, 1055000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rskN46tpbe6Iy3K_ULk1_cQ',\n",
       "   'use': 'indicator'},\n",
       "  'tsunami_deaths_annual_number': {'availability': [1979, 2007],\n",
       "   'domain': [0.0, 165700.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rdBew79hTeXcIXhB1VCTPfg',\n",
       "   'use': 'indicator'},\n",
       "  'under_five_mortality_from_cme_per_1000_born': {'availability': [1931, 2011],\n",
       "   'domain': [1.8, 492.8],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=p8SIY47PNEw6pJRPAS1tXPQ',\n",
       "   'use': 'indicator'},\n",
       "  'under_five_mortality_from_ihme_per_1000_born': {'availability': [1970,\n",
       "    2015],\n",
       "   'domain': [1.6, 367.3],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=p8SIY47PNEw4TgTkrmIVIXA',\n",
       "   'use': 'indicator'},\n",
       "  'underweight_children': {'availability': [1970, 2008],\n",
       "   'domain': [0.5, 64.3],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdDdTQUtvNEJhb0RjRjU0WUtET1R0Vnc',\n",
       "   'use': 'indicator'},\n",
       "  'urban_population': {'availability': [1960, 2011],\n",
       "   'domain': [1028.0, 678800000.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEfH89V6UQhpZA',\n",
       "   'use': 'indicator'},\n",
       "  'urban_population_growth_annual_percent': {'availability': [1960, 2011],\n",
       "   'domain': [-42.99, 21.75],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEcRJEN8MyV3PQ',\n",
       "   'use': 'indicator'},\n",
       "  'urban_population_percent_of_total': {'availability': [1960, 2011],\n",
       "   'domain': [2.0, 100.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj0-LE4StzCsEw',\n",
       "   'use': 'indicator'},\n",
       "  'urban_poverty_percent_urban_people_below_national_urban': {'availability': [1985,\n",
       "    2006],\n",
       "   'domain': [2.0, 66.5],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tublssyj-uqIY25OoRupbCw',\n",
       "   'use': 'indicator'},\n",
       "  'water_and_sanitation_aid_given_percent_of_aid': {'availability': [1968,\n",
       "    2007],\n",
       "   'domain': [0.009561, 47.15],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=tXn3DSfvsYujaBP9bvH6acg',\n",
       "   'use': 'indicator'},\n",
       "  'water_withdrawal_cu_meters_per_person': {'availability': [1962, 2007],\n",
       "   'domain': [6.254, 6366.0],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rezAT4nYhKc2Loe6CxWSPWw',\n",
       "   'use': 'indicator'},\n",
       "  'wood_removal_cubic_meters': {'availability': [1990, 2005],\n",
       "   'domain': [1000.0, 596900000.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=pp59adS3CHWe8O-N9RgxzDw',\n",
       "   'use': 'indicator'},\n",
       "  'working_hours_per_week': {'availability': [1980, 2007],\n",
       "   'domain': [25.92, 56.21],\n",
       "   'scales': ['linear'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=rdCufG2vozTpKw7TBGbyoWw',\n",
       "   'use': 'indicator'},\n",
       "  'year_categorization_1820_2010': {'availability': [1820, 2010],\n",
       "   'domain': [1820.0, 2010.0],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj2t4ep52YXjSg',\n",
       "   'use': 'indicator'},\n",
       "  'year_categorization_1950': {'availability': [1950, 2008],\n",
       "   'domain': [1950.0, 2008.0],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj02SA7cGjnRbA',\n",
       "   'use': 'indicator'},\n",
       "  'yearly_co2_emissions_1000_tonnes': {'availability': [1751, 2012],\n",
       "   'domain': [0.0, 9628000.0],\n",
       "   'sourcelink': 'https://docs.google.com/spreadsheet/pub?key=16USvgw1H-rXCK0ZMmDkyMPd1FXQNpjCj6HCMIn-fmFQ',\n",
       "   'use': 'indicator'},\n",
       "  'yearly_co2_emissions_tonnes': {'availability': [1751, 2011],\n",
       "   'domain': [0.0, 9111000.0],\n",
       "   'scales': ['log'],\n",
       "   'sourcelink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj1NHPC9MyZ9SQ',\n",
       "   'use': 'indicator'}},\n",
       " 'indicatorsTree': {'children': [{'id': 'time'},\n",
       "   {'children': [{'id': 'geo'}, {'id': 'geo.name'}, {'id': 'geo.region'}],\n",
       "    'id': '_properties'},\n",
       "   {'children': [{'children': [{'id': 'gini'}], 'id': 'inequality'},\n",
       "     {'id': 'gdp_p_cap_const_ppp2011_dollar'},\n",
       "     {'id': 'gdp_const_ppp2011_dollar'},\n",
       "     {'children': [{'id': 'aid_given_2007_us'},\n",
       "       {'id': 'aid_given_per_person_2007_us'},\n",
       "       {'id': 'aid_given_percent_of_gni'},\n",
       "       {'id': 'water_and_sanitation_aid_given_percent_of_aid'},\n",
       "       {'id': 'economical_infrastructure_aid_given_percent_of_aid'},\n",
       "       {'id': 'production_sector_aid_given_percent_of_aid'},\n",
       "       {'id': 'multisector_cross_cutting_aid_given_percent_of_aid'},\n",
       "       {'id': 'education_aid_given_percent_of_aid'},\n",
       "       {'id': 'health_aid_given_percent_of_aid'},\n",
       "       {'id': 'population_policies_aid_given_percent_of_aid'},\n",
       "       {'id': 'government_and_society_aid_given_percent_of_aid'},\n",
       "       {'id': 'other_social_services_aid_given_percent_of_aid'}],\n",
       "      'id': 'aid_given'},\n",
       "     {'children': [{'id': 'aid_received_total_us_inflation_adjusted'},\n",
       "       {'id': 'aid_received_per_person_current_us'},\n",
       "       {'id': 'aid_received_percent_of_gni'}],\n",
       "      'id': 'aid_received'},\n",
       "     {'children': [{'id': 'debt_to_foreigners_by_public_and_private_percent_of_gni'},\n",
       "       {'id': 'total_reserves_percent_of_debt_to_foreigners'},\n",
       "       {'id': 'exports_percent_of_gdp'},\n",
       "       {'id': 'imports_percent_of_gdp'},\n",
       "       {'id': 'arms_exports_us_inflation_adjusted'},\n",
       "       {'id': 'arms_imports_us_inflation_adjusted'},\n",
       "       {'id': 'high_technology_exports_percent_of_manufactured_exports'},\n",
       "       {'id': 'merchandise_trade_percent_of_gdp'},\n",
       "       {'id': 'trade_balance_us_not_inflation_adjusted'},\n",
       "       {'id': 'trade_balance_percent_of_gdp'}],\n",
       "      'id': 'debt_trade'},\n",
       "     {'children': [{'id': 'inflation_annual_percent'},\n",
       "       {'id': 'central_bank_discount_rate_annual_percent'},\n",
       "       {'id': 'investments_percent_of_gdp'},\n",
       "       {'id': 'tax_revenue_percent_of_gdp'},\n",
       "       {'id': 'foreign_direct_investment_net_inflows_percent_of_gdp'},\n",
       "       {'id': 'foreign_direct_investment_net_outflows_percent_of_gdp'},\n",
       "       {'id': 'patent_applications_total'},\n",
       "       {'id': 'patents_granted_total'},\n",
       "       {'id': 'patents_in_force_total'},\n",
       "       {'id': 'hourly_compensation_us'},\n",
       "       {'id': 'working_hours_per_week'},\n",
       "       {'id': 'market_value_of_listed_companies_percent_of_gdp'}],\n",
       "      'id': 'economic_situation'},\n",
       "     {'children': [{'id': 'total_gdp_us_inflation_adjusted'},\n",
       "       {'id': 'gdppercapita_us_inflation_adjusted'},\n",
       "       {'id': 'gdpperemployee_us_inflation_adjusted'},\n",
       "       {'id': 'gdpperworking_hour_us_inflation_adjusted'},\n",
       "       {'id': 'gdppercapita_growth_over_next_10_years'},\n",
       "       {'id': 'total_gni_ppp_current_international'},\n",
       "       {'id': 'gnipercapita_constant_2000_us'},\n",
       "       {'id': 'gnipercapita_atlasmethod_current_us'},\n",
       "       {'id': 'gnipercapita_ppp_current_international'},\n",
       "       {'id': 'total_gdp_ppp_inflation_adjusted'},\n",
       "       {'id': 'gdp_total_yearly_growth'},\n",
       "       {'id': 'gdp_per_capita_yearly_growth'}],\n",
       "      'id': 'incomes_growth'},\n",
       "     {'children': [{'id': 'dollar_billionaires_per_million_people'},\n",
       "       {'id': 'average_age_of_dollar_billionaires_years'},\n",
       "       {'id': 'total_number_of_dollar_billionaires'},\n",
       "       {'id': 'inequality_index_gini'},\n",
       "       {'id': 'income_share_of_richest_10percent'},\n",
       "       {'id': 'income_share_of_richest_20percent'},\n",
       "       {'id': 'income_share_of_2nd_richest_20percent'},\n",
       "       {'id': 'income_share_of_middle_20percent'},\n",
       "       {'id': 'income_share_of_2nd_poorest_20percent'},\n",
       "       {'id': 'income_share_of_poorest_20percent'},\n",
       "       {'id': 'income_share_of_poorest_10percent'},\n",
       "       {'id': 'poverty_percent_people_below_2_a_day'},\n",
       "       {'id': 'rural_poverty_percent_rural_people_below_national_rural'},\n",
       "       {'id': 'urban_poverty_percent_urban_people_below_national_urban'},\n",
       "       {'id': 'extreme_poverty_percent_people_below_125_a_day'},\n",
       "       {'id': 'number_of_people_in_poverty'}],\n",
       "      'id': 'poverty_inequality'},\n",
       "     {'children': [{'id': 'agriculture_percent_of_gdp'},\n",
       "       {'id': 'industry_percent_of_gdp'},\n",
       "       {'id': 'services_percent_of_gdp'}],\n",
       "      'id': 'sectors'}],\n",
       "    'id': 'economy'},\n",
       "   {'children': [{'id': 'life_expectancy'},\n",
       "     {'id': 'child_mortality_rate_per1000'},\n",
       "     {'id': 'fertility_rate'},\n",
       "     {'children': [{'id': 'breast_cancer_new_cases_per_100000_women'},\n",
       "       {'id': 'cervical_cancer_new_cases_per_100000_women'},\n",
       "       {'id': 'colonandrectum_cancer_new_cases_per_100000_women'},\n",
       "       {'id': 'liver_cancer_new_cases_per_100000_women'},\n",
       "       {'id': 'lung_cancer_new_cases_per_100000_women'},\n",
       "       {'id': 'stomach_cancer_new_cases_per_100000_women'},\n",
       "       {'id': 'breast_cancer_number_of_new_female_cases'},\n",
       "       {'id': 'cervical_cancer_number_of_new_female_cases'},\n",
       "       {'id': 'colonandrectum_cancer_number_of_new_female_cases'},\n",
       "       {'id': 'liver_cancer_number_of_new_female_cases'},\n",
       "       {'id': 'lung_cancer_number_of_new_female_cases'},\n",
       "       {'id': 'stomach_cancer_number_of_new_female_cases'},\n",
       "       {'id': 'breast_cancer_deaths_per_100000_women'},\n",
       "       {'id': 'cervical_cancer_deaths_per_100000_women'},\n",
       "       {'id': 'colonandrectum_cancer_deaths_per_100000_women'},\n",
       "       {'id': 'liver_cancer_deaths_per_100000_women'},\n",
       "       {'id': 'lung_cancer_deaths_per_100000_women'},\n",
       "       {'id': 'stomach_cancer_deaths_per_100000_women'},\n",
       "       {'id': 'breast_cancer_number_of_female_deaths'},\n",
       "       {'id': 'cervical_cancer_number_of_female_deaths'},\n",
       "       {'id': 'colonandrectum_cancer_number_of_female_deaths'},\n",
       "       {'id': 'liver_cancer_number_of_female_deaths'},\n",
       "       {'id': 'lung_cancer_number_of_female_deaths'},\n",
       "       {'id': 'stomach_cancer_number_of_female_deaths'}],\n",
       "      'id': 'cancer_female'},\n",
       "     {'children': [{'id': 'colonandrectum_cancer_new_cases_per_100000_men'},\n",
       "       {'id': 'liver_cancer_new_cases_per_100000_men'},\n",
       "       {'id': 'lung_cancer_new_cases_per_100000_men'},\n",
       "       {'id': 'prostate_cancer_new_cases_per_100000_men'},\n",
       "       {'id': 'stomach_cancer_new_cases_per_100000_men'},\n",
       "       {'id': 'colonandrectum_cancer_number_of_new_male_cases'},\n",
       "       {'id': 'liver_cancer_number_of_new_male_cases'},\n",
       "       {'id': 'lung_cancer_number_of_new_male_cases'},\n",
       "       {'id': 'prostate_cancer_number_of_new_male_cases'},\n",
       "       {'id': 'stomach_cancer_number_of_new_male_cases'},\n",
       "       {'id': 'colonandrectum_cancer_deaths_per_100000_men'},\n",
       "       {'id': 'liver_cancer_deaths_per_100000_men'},\n",
       "       {'id': 'lung_cancer_deaths_per_100000_men'},\n",
       "       {'id': 'prostate_cancer_deaths_per_100000_men'},\n",
       "       {'id': 'stomach_cancer_deaths_per_100000_men'},\n",
       "       {'id': 'colonandrectum_cancer_number_of_male_deaths'},\n",
       "       {'id': 'liver_cancer_number_of_male_deaths'},\n",
       "       {'id': 'lung_cancer_number_of_male_deaths'},\n",
       "       {'id': 'prostate_cancer_number_of_male_deaths'},\n",
       "       {'id': 'stomach_cancer_number_of_male_deaths'}],\n",
       "      'id': 'cancer_male'},\n",
       "     {'children': [{'id': 'all_causes_deaths_in_children_1_59_months_per_1000_births'},\n",
       "       {'id': 'diarrhoeal_deaths_in_children_1_59_months_per_1000_births'},\n",
       "       {'id': 'hiv_deaths_in_children_1_59_months_per_1000_births'},\n",
       "       {'id': 'injury_deaths_in_children_1_59_months_per_1000_births'},\n",
       "       {'id': 'malaria_deaths_in_children_1_59_months_per_1000_births'},\n",
       "       {'id': 'measles_deaths_in_children_1_59_months_per_1000_births'},\n",
       "       {'id': 'meningitis_deaths_in_children_1_59_months_per_1000_births'},\n",
       "       {'id': 'ncd_deaths_in_children_1_59_months_per_1000_births'},\n",
       "       {'id': 'pertussis_deaths_in_children_1_59_months_per_1000_births'},\n",
       "       {'id': 'pneumonia_deaths_in_children_1_59_months_per_1000_births'},\n",
       "       {'id': 'other_infections_deaths_in_children_1_59_months_per_1000_birt'},\n",
       "       {'id': 'all_causes_deaths_in_children_1_59_months_total_deaths'},\n",
       "       {'id': 'diarrhoeal_deaths_in_children_1_59_months_total_deaths'},\n",
       "       {'id': 'hiv_deaths_in_children_1_59_months_total_deaths'},\n",
       "       {'id': 'injury_deaths_in_children_1_59_months_total_deaths'},\n",
       "       {'id': 'malaria_deaths_in_children_1_59_months_total_deaths'},\n",
       "       {'id': 'measles_deaths_in_children_1_59_months_total_deaths'},\n",
       "       {'id': 'meningitis_deaths_in_children_1_59_months_total_deaths'},\n",
       "       {'id': 'ncd_deaths_in_children_1_59_months_total_deaths'},\n",
       "       {'id': 'pertussis_deaths_in_children_1_59_months_total_deaths'},\n",
       "       {'id': 'pneumonia_deaths_in_children_1_59_months_total_deaths'},\n",
       "       {'id': 'other_infections_deaths_in_children_1_59_months_total_deaths'}],\n",
       "      'id': 'causes_of_child_deaths'},\n",
       "     {'children': [{'id': 'all_causes_deaths_in_newborn_per_1000_births'},\n",
       "       {'id': 'birth_asphyxia_deaths_in_newborn_per_1000_births'},\n",
       "       {'id': 'congenital_deaths_in_newborn_per_1000_births'},\n",
       "       {'id': 'diarrhoeal_deaths_in_newborn_per_1000_births'},\n",
       "       {'id': 'pneumonia_deaths_in_newborn_per_1000_births'},\n",
       "       {'id': 'prematurity_deaths_in_newborn_per_1000_births'},\n",
       "       {'id': 'sepsis_deaths_in_newborn_per_1000_births'},\n",
       "       {'id': 'tetanus_deaths_in_newborn_per_1000_births'},\n",
       "       {'id': 'other_deaths_in_newborn_per_1000_births'},\n",
       "       {'id': 'all_causes_deaths_in_newborn_total_deaths'},\n",
       "       {'id': 'birth_asphyxia_deaths_in_newborn_total_deaths'},\n",
       "       {'id': 'congenital_deaths_in_newborn_total_deaths'},\n",
       "       {'id': 'diarrhoeal_deaths_in_newborn_total_deaths'},\n",
       "       {'id': 'pneumonia_deaths_in_newborn_total_deaths'},\n",
       "       {'id': 'prematurity_deaths_in_newborn_total_deaths'},\n",
       "       {'id': 'sepsis_deaths_in_newborn_total_deaths'},\n",
       "       {'id': 'tetanus_deaths_in_newborn_total_deaths'},\n",
       "       {'id': 'other_deaths_in_newborn_total_deaths'}],\n",
       "      'id': 'causes_of_newborn_deaths'},\n",
       "     {'children': [{'id': 'total_health_spending_percent_of_gdp'},\n",
       "       {'id': 'government_share_of_total_health_spending_percent'},\n",
       "       {'id': 'private_share_of_total_health_spending_percent'},\n",
       "       {'id': 'out_of_pocket_share_of_total_health_spending_percent'},\n",
       "       {'id': 'government_health_spending_of_total_gov_spending_percent'},\n",
       "       {'id': 'total_health_spending_per_person_international_dollar'},\n",
       "       {'id': 'government_health_spending_per_person_international_dollar'},\n",
       "       {'id': 'total_health_spending_per_person_us'},\n",
       "       {'id': 'government_health_spending_per_person_us'},\n",
       "       {'id': 'medical_doctors_per_1000_people'}],\n",
       "      'id': 'health_economics'},\n",
       "     {'children': [{'id': 'people_living_with_hiv_number_all_ages'},\n",
       "       {'id': 'adults_with_hiv_percent_age_15_49'},\n",
       "       {'id': 'newly_hiv_infected_number_all_ages'},\n",
       "       {'id': 'newly_hiv_infected_percent_age_15_49'},\n",
       "       {'id': 'annual_hiv_deaths_number_all_ages'},\n",
       "       {'id': 'art_coverage_percent_cd4_l_350'}],\n",
       "      'id': 'hiv'},\n",
       "     {'children': [{'id': 'burns_deaths_per_100000_people'},\n",
       "       {'id': 'drownings_per_100000_people'},\n",
       "       {'id': 'falls_deaths_per_100000_people'},\n",
       "       {'id': 'poisonings_deaths_per_100000_people'}],\n",
       "      'id': 'injuries_and_accidents'},\n",
       "     {'children': [{'id': 'malaria_cases_per_100000_reported'},\n",
       "       {'id': 'malaria_deaths_per_100000_reported'},\n",
       "       {'id': 'malaria_number_of_cases_reported'},\n",
       "       {'id': 'malaria_number_of_deaths_reported'}],\n",
       "      'id': 'malaria'},\n",
       "     {'children': [{'id': 'births_attended_by_skilled_health_staff_percent_of_total'},\n",
       "       {'id': 'contraceptive_use_percent_of_women_ages_15_49'},\n",
       "       {'id': 'maternal_mortality_ratio_per_100000_live_births'},\n",
       "       {'id': 'maternal_deaths_total_number'},\n",
       "       {'id': 'maternal_deaths_lifetime_risk_per_1000'},\n",
       "       {'id': 'stillbirths_per_1000_births'}],\n",
       "      'id': 'maternal_health'},\n",
       "     {'children': [{'id': 'suicide_per_100000_people'},\n",
       "       {'id': 'suicide_total_deaths'}],\n",
       "      'id': 'mental_health'},\n",
       "     {'children': [{'id': 'infant_mortality_rate_per_1000_births'},\n",
       "       {'id': 'newborn_mortality_rate_per_1000'},\n",
       "       {'id': 'newborn_deaths'}],\n",
       "      'id': 'newborn_infants'},\n",
       "     {'children': [{'id': 'malnutrition_weight_for_age_percent_of_children_under_5'},\n",
       "       {'id': 'sugar_per_person_g_per_day'},\n",
       "       {'id': 'food_supply_kilocalories_per_person_and_day'}],\n",
       "      'id': 'nutrition'},\n",
       "     {'children': [{'id': 'alcohol_consumption_per_adult_15plus_litres'},\n",
       "       {'id': 'smoking_adults_percent_of_population_over_age_15'},\n",
       "       {'id': 'smoking_women_percent_of_women_over_age_15'},\n",
       "       {'id': 'smoking_men_percent_of_men_over_age_15'},\n",
       "       {'id': 'body_mass_index_bmi_men_kgperm2'},\n",
       "       {'id': 'body_mass_index_bmi_women_kgperm2'},\n",
       "       {'id': 'blood_pressure_sbp_men_mmhg'},\n",
       "       {'id': 'blood_pressure_sbp_women_mmhg'},\n",
       "       {'id': 'cholesterol_fat_in_blood_men_mmolperl'},\n",
       "       {'id': 'cholesterol_fat_in_blood_women_mmolperl'}],\n",
       "      'id': 'risk_factors'},\n",
       "     {'children': [{'id': 'infectious_tb_new_cases_per_100000_estimated'},\n",
       "       {'id': 'infectious_tb_new_cases_per_100000_reported'},\n",
       "       {'id': 'infectious_tb_number_of_new_cases_estimated'},\n",
       "       {'id': 'infectious_tb_number_of_new_cases_reported'},\n",
       "       {'id': 'infectious_tb_detection_rate_percent'},\n",
       "       {'id': 'infectious_tb_detection_rate_percent_dots_only'},\n",
       "       {'id': 'infectious_tb_treatment_dots_completed_percent'},\n",
       "       {'id': 'tb_programme_dots_population_coverage_percent'},\n",
       "       {'id': 'all_forms_of_tb_new_cases_per_100000_estimated'},\n",
       "       {'id': 'all_forms_of_tb_existing_cases_per_100000_estimated'},\n",
       "       {'id': 'all_forms_of_tb_deaths_per_100000_estimated'},\n",
       "       {'id': 'all_forms_of_tb_new_cases_per_100000_reported'},\n",
       "       {'id': 'all_forms_of_tb_number_of_new_cases_estimated'},\n",
       "       {'id': 'all_forms_of_tb_number_of_existing_cases_estimated'},\n",
       "       {'id': 'all_forms_of_tb_number_of_deaths_estimated'},\n",
       "       {'id': 'all_forms_of_tb_number_of_new_cases_reported'},\n",
       "       {'id': 'all_forms_of_tb_detection_rate_percent'},\n",
       "       {'id': 'all_forms_of_tb_detection_rate_percent_dots_only'},\n",
       "       {'id': 'tb_with_hivplus_new_cases_per_100000_estimated'},\n",
       "       {'id': 'tb_with_hivplus_existing_cases_per_100000_estimated'},\n",
       "       {'id': 'tb_with_hivplus_deaths_per_100000_estimated'},\n",
       "       {'id': 'tb_with_hivplus_number_of_new_cases_estimated'},\n",
       "       {'id': 'tb_with_hivplus_number_of_existing_cases_estimated'},\n",
       "       {'id': 'tb_with_hivplus_number_of_deaths_estimated'}],\n",
       "      'id': 'tb_tuberculosis'},\n",
       "     {'children': [{'id': 'dtp3_immunized_percent_of_one_year_olds'},\n",
       "       {'id': 'hepb3_immunized_percent_of_one_year_olds'},\n",
       "       {'id': 'hib3_immunized_percent_of_one_year_olds'},\n",
       "       {'id': 'mcv_immunized_percent_of_one_year_olds'},\n",
       "       {'id': 'pab_immunized_percent_of_newborns'}],\n",
       "      'id': 'vaccine'},\n",
       "     {'id': 'underweight_children'},\n",
       "     {'id': 'number_of_child_deaths'},\n",
       "     {'id': 'life_expectancy_male'},\n",
       "     {'id': 'life_expectancy_female'}],\n",
       "    'id': 'health'},\n",
       "   {'id': 'population'},\n",
       "   {'id': '_default'},\n",
       "   {'id': 'children_per_woman_total_fertility'},\n",
       "   {'id': 'co2_emissions_tonnes_per_person'},\n",
       "   {'id': 'income_per_person_gdppercapita_ppp_inflation_adjusted'},\n",
       "   {'id': 'child_mortality_0_5_year_olds_dying_per_1000_born'},\n",
       "   {'id': 'life_expectancy_years'},\n",
       "   {'children': [{'children': [{'id': 'math_achievement_4th_grade'},\n",
       "       {'id': 'math_achievement_8th_grade'}],\n",
       "      'id': 'achievement'},\n",
       "     {'children': [{'id': 'ratio_of_girls_to_boys_in_primary_and_secondary_education_perc'},\n",
       "       {'id': 'ratio_of_young_literate_females_to_males_percent_ages_15_24'}],\n",
       "      'id': 'gender_equality'},\n",
       "     {'children': [{'id': 'literacy_rate_adult_female_percent_of_females_ages_15_above'},\n",
       "       {'id': 'literacy_rate_adult_male_percent_of_males_ages_15_and_above'},\n",
       "       {'id': 'literacy_rate_adult_total_percent_of_people_ages_15_and_above'},\n",
       "       {'id': 'literacy_rate_youth_female_percent_of_females_ages_15_24'},\n",
       "       {'id': 'literacy_rate_youth_male_percent_of_males_ages_15_24'},\n",
       "       {'id': 'literacy_rate_youth_total_percent_of_people_ages_15_24'}],\n",
       "      'id': 'literacy'},\n",
       "     {'children': [{'id': 'mean_years_in_school_women_25_years_and_older'},\n",
       "       {'id': 'mean_years_in_school_men_25_years_and_older'},\n",
       "       {'id': 'mean_years_in_school_women_25_to_34_years'},\n",
       "       {'id': 'mean_years_in_school_men_25_to_34_years'},\n",
       "       {'id': 'mean_years_in_school_women_of_reproductive_age_15_to_44'},\n",
       "       {'id': 'mean_years_in_school_women_percent_men_25_to_34_years'}],\n",
       "      'id': 'mean_years_in_school'},\n",
       "     {'children': [{'id': 'children_out_of_school_primary'},\n",
       "       {'id': 'children_out_of_school_primary_female'},\n",
       "       {'id': 'children_out_of_school_primary_male'},\n",
       "       {'id': 'primary_completion_rate_total_percent_of_relevant_age_group'},\n",
       "       {'id': 'primary_school_completion_percent_of_boys'},\n",
       "       {'id': 'primary_school_completion_percent_of_girls'}],\n",
       "      'id': 'school_enrolment'},\n",
       "     {'children': [{'id': 'expenditure_per_student_primary_percent_of_gdp_per_person'},\n",
       "       {'id': 'expenditure_per_student_secondary_percent_of_gdp_per_person'},\n",
       "       {'id': 'expenditure_per_student_tertiary_percent_of_gdp_per_person'}],\n",
       "      'id': 'schooling_cost'}],\n",
       "    'id': 'education'},\n",
       "   {'children': [{'id': 'ifpri_underweight_children'},\n",
       "     {'children': [{'id': 'debt_servicing_costs_percent_of_exports_and_net_income_from_abroad'},\n",
       "       {'id': 'external_debt_total_us_not_inflation_adjusted'},\n",
       "       {'id': 'present_value_of_debt_percent_of_gni'},\n",
       "       {'id': 'exports_unit_value_index_2000100'},\n",
       "       {'id': 'imports_unit_value_index_2000100'},\n",
       "       {'id': 'net_barter_terms_of_trade_2000_100'}],\n",
       "      'id': 'advanced_debt_trade'},\n",
       "     {'children': [{'id': 'under_five_mortality_from_cme_per_1000_born'},\n",
       "       {'id': 'under_five_mortality_from_ihme_per_1000_born'},\n",
       "       {'id': 'child_mortality_0_5_year_olds_more_years_version_7'}],\n",
       "      'id': 'alternative_child_mortality_data'},\n",
       "     {'children': [{'id': 'life_expectancy_at_birth_data_from_ihme'},\n",
       "       {'id': 'children_per_woman_temporary_update'}],\n",
       "      'id': 'alternative_demography_indicators'},\n",
       "     {'children': [{'id': 'energy_supply_per_person_toe'},\n",
       "       {'id': 'energy_from_solid_biofuels_percent'},\n",
       "       {'id': 'residential_energy_use_percent'}],\n",
       "      'id': 'alternative_energy'},\n",
       "     {'children': [{'id': 'gdppercapita_growth_percent_per_year'},\n",
       "       {'id': 'old_version_of_income_per_person_version_3'},\n",
       "       {'id': 'old_version_of_income_per_person_version_8'},\n",
       "       {'id': 'alternative_gdppercapita_ppp_inflation_adjusted_from_pwt'},\n",
       "       {'id': 'subsistence_incomes_per_person'},\n",
       "       {'id': 'alternative_gdp_per_capita_ppp_wb'},\n",
       "       {'id': 'alternative_gdp_per_capita_ppp_pwt_7_1'},\n",
       "       {'id': 'alternative_gdp_per_capita_ppp_pwt_8_0'},\n",
       "       {'id': 'income_per_person_long_series'}],\n",
       "      'id': 'alternative_gdp_data'},\n",
       "     {'children': [{'id': 'alternative_poverty_percent_below_nationally_defined_poverty'},\n",
       "       {'id': '20120905_extreme_poverty_percent_people_below_125_a_day'}],\n",
       "      'id': 'alternative_poverty_measures'},\n",
       "     {'children': [{'id': 'data_quality_income_per_person'},\n",
       "       {'id': 'data_quality_life_expectancy'},\n",
       "       {'id': 'data_quality_population'},\n",
       "       {'id': 'estimate_or_projection_of_under_five_mortality_rate_from_ihme'},\n",
       "       {'id': 'data_quality_children_per_woman'},\n",
       "       {'id': 'data_method_maternal_mortality'}],\n",
       "      'id': 'data_quality_use_as_color'},\n",
       "     {'children': [{'id': 'dead_kids_per_woman'},\n",
       "       {'id': 'surviving_kids_per_woman'}],\n",
       "      'id': 'families'},\n",
       "     {'children': [{'id': 'traffic_deaths_women_per_100000_people'},\n",
       "       {'id': 'traffic_deaths_men_per_100000_people'},\n",
       "       {'id': 'suicide_women_per_100000_people'},\n",
       "       {'id': 'suicide_men_per_100000_people'},\n",
       "       {'id': 'murdered_women_per_100000_people'},\n",
       "       {'id': 'murdered_men_per_100000_people'},\n",
       "       {'id': 'car_deaths_per_100000_people'},\n",
       "       {'id': 'motorcycle_deaths_per_100000_people'},\n",
       "       {'id': 'murdered_children_0_14_per_100000_people'},\n",
       "       {'id': 'murdered_15_29_per_100000_people'},\n",
       "       {'id': 'murdered_30_44_per_100000_people'},\n",
       "       {'id': 'murdered_45_59_per_100000_people'},\n",
       "       {'id': 'murdered_60plus_per_100000_people'},\n",
       "       {'id': 'suicide_age_0_14_per_100000_people'},\n",
       "       {'id': 'suicide_age_15_29_per_100000_people'},\n",
       "       {'id': 'suicide_age_30_44_per_100000_people'},\n",
       "       {'id': 'suicide_age_45_59_per_100000_people'},\n",
       "       {'id': 'suicide_age_60plus_per_100000_people'},\n",
       "       {'id': 'traffic_mortality_children_0_14_per_100000_people'},\n",
       "       {'id': 'traffic_mortality_15_29_per_100000_people'},\n",
       "       {'id': 'traffic_mortality_30_44_per_100000_people'},\n",
       "       {'id': 'traffic_mortality_45_59_per_100000_people'},\n",
       "       {'id': 'traffic_mortality_60plus_per_100000_people'}],\n",
       "      'id': 'injury_deaths_by_gender_age_road_user'},\n",
       "     {'children': [{'id': 'income_per_person_with_projections'},\n",
       "       {'id': 'life_expectancy_at_birth_with_projections'},\n",
       "       {'id': 'children_per_woman_total_fertility_with_projections'},\n",
       "       {'id': 'total_population_with_projections'},\n",
       "       {'id': 'female_population_with_projections'},\n",
       "       {'id': 'male_population_with_projections'},\n",
       "       {'id': 'population_growth_annual_percent_with_projections'}],\n",
       "      'id': 'projections'},\n",
       "     {'children': [{'id': 'year_categorization_1820_2010'},\n",
       "       {'id': 'year_categorization_1950'}],\n",
       "      'id': 'years_use_as_color'}],\n",
       "    'id': 'for_advanced_users'},\n",
       "   {'children': [{'children': [{'id': 'agriculture_workers_percent_of_labour_force'},\n",
       "       {'id': 'industry_workers_percent_of_labour_force'},\n",
       "       {'id': 'service_workers_percent_of_labour_force'},\n",
       "       {'id': 'female_agriculture_workers_percent_of_female_labour_force'},\n",
       "       {'id': 'female_industry_workers_percent_of_female_labour_force'},\n",
       "       {'id': 'female_service_workers_percent_of_female_labour_force'},\n",
       "       {'id': 'male_agriculture_workers_percent_of_male_labour_force'},\n",
       "       {'id': 'male_industry_workers_percent_of_male_labour_force'},\n",
       "       {'id': 'male_service_workers_percent_of_male_labour_force'}],\n",
       "      'id': 'employment_by_sector'},\n",
       "     {'children': [{'id': 'family_workers_percent_of_labour_force'},\n",
       "       {'id': 'salaried_workers_percent_of_labour_force'},\n",
       "       {'id': 'self_employed_percent_of_labour_force'},\n",
       "       {'id': 'female_family_workers_percent_of_female_labour_force'},\n",
       "       {'id': 'female_salaried_workers_percent_of_female_labour_force'},\n",
       "       {'id': 'female_self_employed_percent_of_female_labour_force'},\n",
       "       {'id': 'male_family_workers_percent_of_male_labour_force'},\n",
       "       {'id': 'male_salaried_workers_percent_of_male_labour_force'},\n",
       "       {'id': 'male_self_employed_percent_of_male_labour_force'}],\n",
       "      'id': 'employment_by_status'},\n",
       "     {'children': [{'id': 'aged_15_24_employment_rate_percent'},\n",
       "       {'id': 'aged_15plus_employment_rate_percent'},\n",
       "       {'id': 'females_aged_15_24_employment_rate_percent'},\n",
       "       {'id': 'females_aged_15plus_employment_rate_percent'},\n",
       "       {'id': 'males_aged_15_24_employment_rate_percent'},\n",
       "       {'id': 'males_aged_15plus_employment_rate_percent'}],\n",
       "      'id': 'employment_rate'},\n",
       "     {'children': [{'id': 'aged_15_64_labour_force_participation_rate_percent'},\n",
       "       {'id': 'aged_25_54_labour_force_participation_rate_percent'},\n",
       "       {'id': 'aged_15plus_labour_force_participation_rate_percent'},\n",
       "       {'id': 'aged_65plus_labour_force_participation_rate_percent'},\n",
       "       {'id': 'females_aged_15_64_labour_force_participation_rate_percent'},\n",
       "       {'id': 'females_aged_25_54_labour_force_participation_rate_percent'},\n",
       "       {'id': 'females_aged_15plus_labour_force_participation_rate_percent'},\n",
       "       {'id': 'females_aged_65plus_labour_force_participation_rate_percent'},\n",
       "       {'id': 'males_aged_15_64_labour_force_participation_rate_percent'},\n",
       "       {'id': 'males_aged_25_54_labour_force_participation_rate_percent'},\n",
       "       {'id': 'males_aged_15plus_labour_force_participation_rate_percent'},\n",
       "       {'id': 'males_aged_65plus_labour_force_participation_rate_percent'}],\n",
       "      'id': 'labour_force_participation'},\n",
       "     {'children': [{'id': 'aged_15_24_unemployment_rate_percent'},\n",
       "       {'id': 'aged_25_54_unemployment_rate_percent'},\n",
       "       {'id': 'aged_15plus_unemployment_rate_percent'},\n",
       "       {'id': 'aged_55plus_unemployment_rate_percent'},\n",
       "       {'id': 'long_term_unemployment_rate_percent'},\n",
       "       {'id': 'females_aged_15_24_unemployment_rate_percent'},\n",
       "       {'id': 'females_aged_25_54_unemployment_rate_percent'},\n",
       "       {'id': 'females_aged_15plus_unemployment_rate_percent'},\n",
       "       {'id': 'females_aged_55plus_unemployment_rate_percent'},\n",
       "       {'id': 'female_long_term_unemployment_rate_percent'},\n",
       "       {'id': 'males_aged_15_24_unemployment_rate_percent'},\n",
       "       {'id': 'males_aged_25_54_unemployment_rate_percent'},\n",
       "       {'id': 'males_aged_15plus_unemployment_rate_percent'},\n",
       "       {'id': 'males_aged_55plus_unemployment_rate_percent'},\n",
       "       {'id': 'male_long_term_unemployment_rate_percent'}],\n",
       "      'id': 'unemployment'}],\n",
       "    'id': 'work'},\n",
       "   {'children': [{'id': 'children_and_elderly_per_100_adults'},\n",
       "     {'id': 'median_age_years'},\n",
       "     {'id': 'population_density_per_square_km'},\n",
       "     {'id': 'population_total'},\n",
       "     {'id': 'age_at_1st_marriage_women'},\n",
       "     {'children': [{'id': 'population_aged_0_4_years_both_sexes_percent'},\n",
       "       {'id': 'population_aged_5_9_years_both_sexes_percent'},\n",
       "       {'id': 'population_aged_10_14_years_both_sexes_percent'},\n",
       "       {'id': 'population_aged_15_19_years_both_sexes_percent'},\n",
       "       {'id': 'population_aged_20_39_years_both_sexes_percent'},\n",
       "       {'id': 'population_aged_40_59_years_both_sexes_percent'},\n",
       "       {'id': 'population_aged_60plus_years_both_sexes_percent'}],\n",
       "      'id': 'both_sexes_by_age'},\n",
       "     {'children': [{'id': 'population_aged_0_4_years_total_number'},\n",
       "       {'id': 'population_aged_5_9_years_total_number'},\n",
       "       {'id': 'population_aged_10_14_years_total_number'},\n",
       "       {'id': 'population_aged_15_19_years_total_number'},\n",
       "       {'id': 'population_aged_20_39_years_total_number'},\n",
       "       {'id': 'population_aged_40_59_years_total_number'},\n",
       "       {'id': 'population_aged_60plus_years_total_number'}],\n",
       "      'id': 'both_sexes_by_age_total'},\n",
       "     {'children': [{'id': 'population_aged_0_4_years_female_percent'},\n",
       "       {'id': 'population_aged_5_9_years_female_percent'},\n",
       "       {'id': 'population_aged_10_14_years_female_percent'},\n",
       "       {'id': 'population_aged_15_19_years_female_percent'},\n",
       "       {'id': 'population_aged_20_39_years_female_percent'},\n",
       "       {'id': 'population_aged_40_59_years_female_percent'},\n",
       "       {'id': 'population_aged_60plus_years_female_percent'}],\n",
       "      'id': 'female_by_age'},\n",
       "     {'children': [{'id': 'population_aged_0_4_years_male_percent'},\n",
       "       {'id': 'population_aged_5_9_years_male_percent'},\n",
       "       {'id': 'population_aged_10_14_years_male_percent'},\n",
       "       {'id': 'population_aged_15_19_years_male_percent'},\n",
       "       {'id': 'population_aged_20_39_years_male_percent'},\n",
       "       {'id': 'population_aged_40_59_years_male_percent'},\n",
       "       {'id': 'population_aged_60plus_years_male_percent'}],\n",
       "      'id': 'male_by_age'},\n",
       "     {'children': [{'id': 'population_growth_annual_percent'},\n",
       "       {'id': 'crude_birth_rate_births_per_1000_population'},\n",
       "       {'id': 'crude_death_rate_deaths_per_1000_population'},\n",
       "       {'id': 'teen_fertility_rate_births_per_1000_women_ages_15_19'},\n",
       "       {'id': 'new_births_total_number_estimated'}],\n",
       "      'id': 'population_growth'},\n",
       "     {'children': [{'id': 'sex_ratio_all_age_groups'},\n",
       "       {'id': 'sex_ratio_0_14_years'},\n",
       "       {'id': 'sex_ratio_15_24_years'},\n",
       "       {'id': 'sex_ratio_15_49_years'},\n",
       "       {'id': 'sex_ratio_above_50_years'}],\n",
       "      'id': 'sex_ratio'},\n",
       "     {'children': [{'id': 'population_in_urban_agglomerations_m_1_million_percent_of_total'},\n",
       "       {'id': 'urban_population'},\n",
       "       {'id': 'urban_population_percent_of_total'},\n",
       "       {'id': 'urban_population_growth_annual_percent'}],\n",
       "      'id': 'urbanization'}],\n",
       "    'id': 'population'},\n",
       "   {'children': [{'children': [{'id': 'broadband_subscribers'},\n",
       "       {'id': 'broadband_subscribers_per_100_people'},\n",
       "       {'id': 'cell_phones_total'},\n",
       "       {'id': 'cell_phones_per_100_people'},\n",
       "       {'id': 'fixed_line_and_mobile_phone_subscribers_per_100_people'},\n",
       "       {'id': 'internet_users_total_number'},\n",
       "       {'id': 'internet_users_per_100_people'},\n",
       "       {'id': 'personal_computers_total'},\n",
       "       {'id': 'personal_computers_per_100_people'}],\n",
       "      'id': 'communication'},\n",
       "     {'children': [{'id': 'improved_sanitation_overall_access_percent'},\n",
       "       {'id': 'improved_sanitation_urban_access_percent'},\n",
       "       {'id': 'improved_sanitation_rural_access_percent'}],\n",
       "      'id': 'sanitation'},\n",
       "     {'children': [{'id': 'roads_paved_percent_of_total_roads'},\n",
       "       {'id': 'traffic_deaths_per_100000_people'},\n",
       "       {'id': 'cars_trucks_and_buses_per_1000_persons'},\n",
       "       {'id': 'traffic_total_deaths'}],\n",
       "      'id': 'traffic'},\n",
       "     {'children': [{'id': 'improved_water_source_overall_access_percent'},\n",
       "       {'id': 'improved_water_source_urban_access_percent'},\n",
       "       {'id': 'improved_water_source_rural_access_percent'}],\n",
       "      'id': 'water'}],\n",
       "    'id': 'infrastructure'},\n",
       "   {'children': [{'id': 'pump_price_for_gasoline_us_per_liter'},\n",
       "     {'children': [{'id': 'coal_consumption_total'},\n",
       "       {'id': 'coal_consumption_per_cap'}],\n",
       "      'id': 'coal'},\n",
       "     {'children': [{'id': 'electricity_use_per_person'},\n",
       "       {'id': 'electricity_use_total'},\n",
       "       {'id': 'residential_electricity_use_per_person'},\n",
       "       {'id': 'residential_electricity_use_total'},\n",
       "       {'id': 'electricity_generation_total'},\n",
       "       {'id': 'electricity_generation_per_person'}],\n",
       "      'id': 'electricity'},\n",
       "     {'children': [{'id': 'hydro_power_generation_total'},\n",
       "       {'id': 'hydro_power_generation_per_person'}],\n",
       "      'id': 'hydro'},\n",
       "     {'children': [{'id': 'natural_gas_production_total'},\n",
       "       {'id': 'natural_gas_production_per_person'},\n",
       "       {'id': 'natural_gas_proven_reserves_per_person'},\n",
       "       {'id': 'natural_gas_proved_reserves_total'}],\n",
       "      'id': 'natural_gas'},\n",
       "     {'children': [{'id': 'nuclear_power_generation_total'},\n",
       "       {'id': 'nuclear_power_generation_per_person'}],\n",
       "      'id': 'nuclear'},\n",
       "     {'children': [{'id': 'oil_production_per_person'},\n",
       "       {'id': 'oil_production_total'},\n",
       "       {'id': 'oil_proven_reserves_per_person'},\n",
       "       {'id': 'oil_proved_reserves_total'},\n",
       "       {'id': 'oil_consumption_total'},\n",
       "       {'id': 'oil_consumption_per_cap'}],\n",
       "      'id': 'oil'},\n",
       "     {'children': [{'id': 'energy_use_total'},\n",
       "       {'id': 'energy_use_per_person'},\n",
       "       {'id': 'energy_production_total'},\n",
       "       {'id': 'energy_production_per_person'}],\n",
       "      'id': 'total'}],\n",
       "    'id': 'energy'},\n",
       "   {'children': [{'children': [{'id': 'drought_deaths_annual_number'},\n",
       "       {'id': 'earthquake_deaths_annual_number'},\n",
       "       {'id': 'epidemic_deaths_annual_number'},\n",
       "       {'id': 'extreme_temperature_deaths_annual_number'},\n",
       "       {'id': 'flood_deaths_annual_number'},\n",
       "       {'id': 'storm_deaths_annual_number'},\n",
       "       {'id': 'tsunami_deaths_annual_number'},\n",
       "       {'id': 'plane_crash_deaths_annual_number'},\n",
       "       {'id': 'drought_affected_annual_number'},\n",
       "       {'id': 'earthquake_affected_annual_number'},\n",
       "       {'id': 'epidemic_affected_annual_number'},\n",
       "       {'id': 'extreme_temperature_affected_annual_number'},\n",
       "       {'id': 'flood_affected_annual_number'},\n",
       "       {'id': 'storm_affected_annual_number'},\n",
       "       {'id': 'tsunami_affected_annual_number'},\n",
       "       {'id': 'plane_crash_affected_annual_number'}],\n",
       "      'id': 'disasters'},\n",
       "     {'children': [{'id': 'co2_intensity_of_economic_output_kg_co2_per_2005_ppp_of_gdp'},\n",
       "       {'id': 'cumulative_co2_emissions_tonnes'},\n",
       "       {'id': 'sulfur_emissions_per_person_kg'},\n",
       "       {'id': 'total_sulfur_emission_kilotonnes'},\n",
       "       {'id': 'yearly_co2_emissions_1000_tonnes'}],\n",
       "      'id': 'emissions'},\n",
       "     {'children': [{'id': 'forest_land_total_area_ha'},\n",
       "       {'id': 'primary_forest_area_ha'},\n",
       "       {'id': 'planted_forest_area_ha'},\n",
       "       {'id': 'wood_removal_cubic_meters'},\n",
       "       {'id': 'forest_coverage_percent'},\n",
       "       {'id': 'biomass_stock_in_forest_tons'},\n",
       "       {'id': 'privately_owned_forest_land_percent'},\n",
       "       {'id': 'privately_owned_other_wooded_land_percent'},\n",
       "       {'id': 'forest_products_removal_total_dollar'},\n",
       "       {'id': 'forest_products_removal_per_ha_dollar'}],\n",
       "      'id': 'forestry'},\n",
       "     {'children': [{'id': 'agricultural_land_percent_of_land_area'},\n",
       "       {'id': 'forest_area_sq_km'},\n",
       "       {'id': 'surface_area_sq_km'}],\n",
       "      'id': 'geography'},\n",
       "     {'children': [{'id': 'renewable_water_cu_meters_per_person'},\n",
       "       {'id': 'internal_renewable_water_cu_meters_per_person'},\n",
       "       {'id': 'water_withdrawal_cu_meters_per_person'},\n",
       "       {'id': 'municipal_water_withdrawal_cu_meters_per_person'},\n",
       "       {'id': 'agricultural_water_withdrawal_percent_of_total'},\n",
       "       {'id': 'industrial_water_withdrawal_percent_of_total'},\n",
       "       {'id': 'municipal_water_withdrawal_percent_of_total'},\n",
       "       {'id': 'desalinated_water_produced_billion_cu_meters'},\n",
       "       {'id': 'total_water_withdrawal_billion_cu_meters'}],\n",
       "      'id': 'water'}],\n",
       "    'id': 'environment'},\n",
       "   {'children': [{'id': 'murder_per_100000_people'},\n",
       "     {'id': 'corruption_perception_index_cpi'},\n",
       "     {'id': 'democracy_score_use_as_color'},\n",
       "     {'id': 'hdi_human_development_index'},\n",
       "     {'id': 'murder_total_deaths'},\n",
       "     {'children': [{'id': 'military_expenditure_percent_of_gdp'},\n",
       "       {'id': 'battle_deaths_per_100_000'},\n",
       "       {'id': 'armed_forces_personnel_total'},\n",
       "       {'id': 'armed_forces_personnel_percent_of_labor_force'}],\n",
       "      'id': 'war_peace'}],\n",
       "    'id': 'society'}],\n",
       "  'id': '_root'}}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "indb_0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'children': [{'id': 'time'},\n",
       "  {'children': [{'id': 'geo'}, {'id': 'geo.name'}, {'id': 'geo.region'}],\n",
       "   'id': '_properties'},\n",
       "  {'children': [{'children': [{'id': 'gini'}], 'id': 'inequality'},\n",
       "    {'id': 'gdp_p_cap_const_ppp2011_dollar'},\n",
       "    {'id': 'gdp_const_ppp2011_dollar'},\n",
       "    {'children': [{'id': 'aid_given_2007_us'},\n",
       "      {'id': 'aid_given_per_person_2007_us'},\n",
       "      {'id': 'aid_given_percent_of_gni'},\n",
       "      {'id': 'water_and_sanitation_aid_given_percent_of_aid'},\n",
       "      {'id': 'economical_infrastructure_aid_given_percent_of_aid'},\n",
       "      {'id': 'production_sector_aid_given_percent_of_aid'},\n",
       "      {'id': 'multisector_cross_cutting_aid_given_percent_of_aid'},\n",
       "      {'id': 'education_aid_given_percent_of_aid'},\n",
       "      {'id': 'health_aid_given_percent_of_aid'},\n",
       "      {'id': 'population_policies_aid_given_percent_of_aid'},\n",
       "      {'id': 'government_and_society_aid_given_percent_of_aid'},\n",
       "      {'id': 'other_social_services_aid_given_percent_of_aid'}],\n",
       "     'id': 'aid_given'},\n",
       "    {'children': [{'id': 'aid_received_total_us_inflation_adjusted'},\n",
       "      {'id': 'aid_received_per_person_current_us'},\n",
       "      {'id': 'aid_received_percent_of_gni'}],\n",
       "     'id': 'aid_received'},\n",
       "    {'children': [{'id': 'debt_to_foreigners_by_public_and_private_percent_of_gni'},\n",
       "      {'id': 'total_reserves_percent_of_debt_to_foreigners'},\n",
       "      {'id': 'exports_percent_of_gdp'},\n",
       "      {'id': 'imports_percent_of_gdp'},\n",
       "      {'id': 'arms_exports_us_inflation_adjusted'},\n",
       "      {'id': 'arms_imports_us_inflation_adjusted'},\n",
       "      {'id': 'high_technology_exports_percent_of_manufactured_exports'},\n",
       "      {'id': 'merchandise_trade_percent_of_gdp'},\n",
       "      {'id': 'trade_balance_us_not_inflation_adjusted'},\n",
       "      {'id': 'trade_balance_percent_of_gdp'}],\n",
       "     'id': 'debt_trade'},\n",
       "    {'children': [{'id': 'inflation_annual_percent'},\n",
       "      {'id': 'central_bank_discount_rate_annual_percent'},\n",
       "      {'id': 'investments_percent_of_gdp'},\n",
       "      {'id': 'tax_revenue_percent_of_gdp'},\n",
       "      {'id': 'foreign_direct_investment_net_inflows_percent_of_gdp'},\n",
       "      {'id': 'foreign_direct_investment_net_outflows_percent_of_gdp'},\n",
       "      {'id': 'patent_applications_total'},\n",
       "      {'id': 'patents_granted_total'},\n",
       "      {'id': 'patents_in_force_total'},\n",
       "      {'id': 'hourly_compensation_us'},\n",
       "      {'id': 'working_hours_per_week'},\n",
       "      {'id': 'market_value_of_listed_companies_percent_of_gdp'}],\n",
       "     'id': 'economic_situation'},\n",
       "    {'children': [{'id': 'total_gdp_us_inflation_adjusted'},\n",
       "      {'id': 'gdppercapita_us_inflation_adjusted'},\n",
       "      {'id': 'gdpperemployee_us_inflation_adjusted'},\n",
       "      {'id': 'gdpperworking_hour_us_inflation_adjusted'},\n",
       "      {'id': 'gdppercapita_growth_over_next_10_years'},\n",
       "      {'id': 'total_gni_ppp_current_international'},\n",
       "      {'id': 'gnipercapita_constant_2000_us'},\n",
       "      {'id': 'gnipercapita_atlasmethod_current_us'},\n",
       "      {'id': 'gnipercapita_ppp_current_international'},\n",
       "      {'id': 'total_gdp_ppp_inflation_adjusted'},\n",
       "      {'id': 'gdp_total_yearly_growth'},\n",
       "      {'id': 'gdp_per_capita_yearly_growth'}],\n",
       "     'id': 'incomes_growth'},\n",
       "    {'children': [{'id': 'dollar_billionaires_per_million_people'},\n",
       "      {'id': 'average_age_of_dollar_billionaires_years'},\n",
       "      {'id': 'total_number_of_dollar_billionaires'},\n",
       "      {'id': 'inequality_index_gini'},\n",
       "      {'id': 'income_share_of_richest_10percent'},\n",
       "      {'id': 'income_share_of_richest_20percent'},\n",
       "      {'id': 'income_share_of_2nd_richest_20percent'},\n",
       "      {'id': 'income_share_of_middle_20percent'},\n",
       "      {'id': 'income_share_of_2nd_poorest_20percent'},\n",
       "      {'id': 'income_share_of_poorest_20percent'},\n",
       "      {'id': 'income_share_of_poorest_10percent'},\n",
       "      {'id': 'poverty_percent_people_below_2_a_day'},\n",
       "      {'id': 'rural_poverty_percent_rural_people_below_national_rural'},\n",
       "      {'id': 'urban_poverty_percent_urban_people_below_national_urban'},\n",
       "      {'id': 'extreme_poverty_percent_people_below_125_a_day'},\n",
       "      {'id': 'number_of_people_in_poverty'}],\n",
       "     'id': 'poverty_inequality'},\n",
       "    {'children': [{'id': 'agriculture_percent_of_gdp'},\n",
       "      {'id': 'industry_percent_of_gdp'},\n",
       "      {'id': 'services_percent_of_gdp'}],\n",
       "     'id': 'sectors'}],\n",
       "   'id': 'economy'},\n",
       "  {'children': [{'id': 'life_expectancy'},\n",
       "    {'id': 'child_mortality_rate_per1000'},\n",
       "    {'id': 'fertility_rate'},\n",
       "    {'children': [{'id': 'breast_cancer_new_cases_per_100000_women'},\n",
       "      {'id': 'cervical_cancer_new_cases_per_100000_women'},\n",
       "      {'id': 'colonandrectum_cancer_new_cases_per_100000_women'},\n",
       "      {'id': 'liver_cancer_new_cases_per_100000_women'},\n",
       "      {'id': 'lung_cancer_new_cases_per_100000_women'},\n",
       "      {'id': 'stomach_cancer_new_cases_per_100000_women'},\n",
       "      {'id': 'breast_cancer_number_of_new_female_cases'},\n",
       "      {'id': 'cervical_cancer_number_of_new_female_cases'},\n",
       "      {'id': 'colonandrectum_cancer_number_of_new_female_cases'},\n",
       "      {'id': 'liver_cancer_number_of_new_female_cases'},\n",
       "      {'id': 'lung_cancer_number_of_new_female_cases'},\n",
       "      {'id': 'stomach_cancer_number_of_new_female_cases'},\n",
       "      {'id': 'breast_cancer_deaths_per_100000_women'},\n",
       "      {'id': 'cervical_cancer_deaths_per_100000_women'},\n",
       "      {'id': 'colonandrectum_cancer_deaths_per_100000_women'},\n",
       "      {'id': 'liver_cancer_deaths_per_100000_women'},\n",
       "      {'id': 'lung_cancer_deaths_per_100000_women'},\n",
       "      {'id': 'stomach_cancer_deaths_per_100000_women'},\n",
       "      {'id': 'breast_cancer_number_of_female_deaths'},\n",
       "      {'id': 'cervical_cancer_number_of_female_deaths'},\n",
       "      {'id': 'colonandrectum_cancer_number_of_female_deaths'},\n",
       "      {'id': 'liver_cancer_number_of_female_deaths'},\n",
       "      {'id': 'lung_cancer_number_of_female_deaths'},\n",
       "      {'id': 'stomach_cancer_number_of_female_deaths'}],\n",
       "     'id': 'cancer_female'},\n",
       "    {'children': [{'id': 'colonandrectum_cancer_new_cases_per_100000_men'},\n",
       "      {'id': 'liver_cancer_new_cases_per_100000_men'},\n",
       "      {'id': 'lung_cancer_new_cases_per_100000_men'},\n",
       "      {'id': 'prostate_cancer_new_cases_per_100000_men'},\n",
       "      {'id': 'stomach_cancer_new_cases_per_100000_men'},\n",
       "      {'id': 'colonandrectum_cancer_number_of_new_male_cases'},\n",
       "      {'id': 'liver_cancer_number_of_new_male_cases'},\n",
       "      {'id': 'lung_cancer_number_of_new_male_cases'},\n",
       "      {'id': 'prostate_cancer_number_of_new_male_cases'},\n",
       "      {'id': 'stomach_cancer_number_of_new_male_cases'},\n",
       "      {'id': 'colonandrectum_cancer_deaths_per_100000_men'},\n",
       "      {'id': 'liver_cancer_deaths_per_100000_men'},\n",
       "      {'id': 'lung_cancer_deaths_per_100000_men'},\n",
       "      {'id': 'prostate_cancer_deaths_per_100000_men'},\n",
       "      {'id': 'stomach_cancer_deaths_per_100000_men'},\n",
       "      {'id': 'colonandrectum_cancer_number_of_male_deaths'},\n",
       "      {'id': 'liver_cancer_number_of_male_deaths'},\n",
       "      {'id': 'lung_cancer_number_of_male_deaths'},\n",
       "      {'id': 'prostate_cancer_number_of_male_deaths'},\n",
       "      {'id': 'stomach_cancer_number_of_male_deaths'}],\n",
       "     'id': 'cancer_male'},\n",
       "    {'children': [{'id': 'all_causes_deaths_in_children_1_59_months_per_1000_births'},\n",
       "      {'id': 'diarrhoeal_deaths_in_children_1_59_months_per_1000_births'},\n",
       "      {'id': 'hiv_deaths_in_children_1_59_months_per_1000_births'},\n",
       "      {'id': 'injury_deaths_in_children_1_59_months_per_1000_births'},\n",
       "      {'id': 'malaria_deaths_in_children_1_59_months_per_1000_births'},\n",
       "      {'id': 'measles_deaths_in_children_1_59_months_per_1000_births'},\n",
       "      {'id': 'meningitis_deaths_in_children_1_59_months_per_1000_births'},\n",
       "      {'id': 'ncd_deaths_in_children_1_59_months_per_1000_births'},\n",
       "      {'id': 'pertussis_deaths_in_children_1_59_months_per_1000_births'},\n",
       "      {'id': 'pneumonia_deaths_in_children_1_59_months_per_1000_births'},\n",
       "      {'id': 'other_infections_deaths_in_children_1_59_months_per_1000_birt'},\n",
       "      {'id': 'all_causes_deaths_in_children_1_59_months_total_deaths'},\n",
       "      {'id': 'diarrhoeal_deaths_in_children_1_59_months_total_deaths'},\n",
       "      {'id': 'hiv_deaths_in_children_1_59_months_total_deaths'},\n",
       "      {'id': 'injury_deaths_in_children_1_59_months_total_deaths'},\n",
       "      {'id': 'malaria_deaths_in_children_1_59_months_total_deaths'},\n",
       "      {'id': 'measles_deaths_in_children_1_59_months_total_deaths'},\n",
       "      {'id': 'meningitis_deaths_in_children_1_59_months_total_deaths'},\n",
       "      {'id': 'ncd_deaths_in_children_1_59_months_total_deaths'},\n",
       "      {'id': 'pertussis_deaths_in_children_1_59_months_total_deaths'},\n",
       "      {'id': 'pneumonia_deaths_in_children_1_59_months_total_deaths'},\n",
       "      {'id': 'other_infections_deaths_in_children_1_59_months_total_deaths'}],\n",
       "     'id': 'causes_of_child_deaths'},\n",
       "    {'children': [{'id': 'all_causes_deaths_in_newborn_per_1000_births'},\n",
       "      {'id': 'birth_asphyxia_deaths_in_newborn_per_1000_births'},\n",
       "      {'id': 'congenital_deaths_in_newborn_per_1000_births'},\n",
       "      {'id': 'diarrhoeal_deaths_in_newborn_per_1000_births'},\n",
       "      {'id': 'pneumonia_deaths_in_newborn_per_1000_births'},\n",
       "      {'id': 'prematurity_deaths_in_newborn_per_1000_births'},\n",
       "      {'id': 'sepsis_deaths_in_newborn_per_1000_births'},\n",
       "      {'id': 'tetanus_deaths_in_newborn_per_1000_births'},\n",
       "      {'id': 'other_deaths_in_newborn_per_1000_births'},\n",
       "      {'id': 'all_causes_deaths_in_newborn_total_deaths'},\n",
       "      {'id': 'birth_asphyxia_deaths_in_newborn_total_deaths'},\n",
       "      {'id': 'congenital_deaths_in_newborn_total_deaths'},\n",
       "      {'id': 'diarrhoeal_deaths_in_newborn_total_deaths'},\n",
       "      {'id': 'pneumonia_deaths_in_newborn_total_deaths'},\n",
       "      {'id': 'prematurity_deaths_in_newborn_total_deaths'},\n",
       "      {'id': 'sepsis_deaths_in_newborn_total_deaths'},\n",
       "      {'id': 'tetanus_deaths_in_newborn_total_deaths'},\n",
       "      {'id': 'other_deaths_in_newborn_total_deaths'}],\n",
       "     'id': 'causes_of_newborn_deaths'},\n",
       "    {'children': [{'id': 'total_health_spending_percent_of_gdp'},\n",
       "      {'id': 'government_share_of_total_health_spending_percent'},\n",
       "      {'id': 'private_share_of_total_health_spending_percent'},\n",
       "      {'id': 'out_of_pocket_share_of_total_health_spending_percent'},\n",
       "      {'id': 'government_health_spending_of_total_gov_spending_percent'},\n",
       "      {'id': 'total_health_spending_per_person_international_dollar'},\n",
       "      {'id': 'government_health_spending_per_person_international_dollar'},\n",
       "      {'id': 'total_health_spending_per_person_us'},\n",
       "      {'id': 'government_health_spending_per_person_us'},\n",
       "      {'id': 'medical_doctors_per_1000_people'}],\n",
       "     'id': 'health_economics'},\n",
       "    {'children': [{'id': 'people_living_with_hiv_number_all_ages'},\n",
       "      {'id': 'adults_with_hiv_percent_age_15_49'},\n",
       "      {'id': 'newly_hiv_infected_number_all_ages'},\n",
       "      {'id': 'newly_hiv_infected_percent_age_15_49'},\n",
       "      {'id': 'annual_hiv_deaths_number_all_ages'},\n",
       "      {'id': 'art_coverage_percent_cd4_l_350'}],\n",
       "     'id': 'hiv'},\n",
       "    {'children': [{'id': 'burns_deaths_per_100000_people'},\n",
       "      {'id': 'drownings_per_100000_people'},\n",
       "      {'id': 'falls_deaths_per_100000_people'},\n",
       "      {'id': 'poisonings_deaths_per_100000_people'}],\n",
       "     'id': 'injuries_and_accidents'},\n",
       "    {'children': [{'id': 'malaria_cases_per_100000_reported'},\n",
       "      {'id': 'malaria_deaths_per_100000_reported'},\n",
       "      {'id': 'malaria_number_of_cases_reported'},\n",
       "      {'id': 'malaria_number_of_deaths_reported'}],\n",
       "     'id': 'malaria'},\n",
       "    {'children': [{'id': 'births_attended_by_skilled_health_staff_percent_of_total'},\n",
       "      {'id': 'contraceptive_use_percent_of_women_ages_15_49'},\n",
       "      {'id': 'maternal_mortality_ratio_per_100000_live_births'},\n",
       "      {'id': 'maternal_deaths_total_number'},\n",
       "      {'id': 'maternal_deaths_lifetime_risk_per_1000'},\n",
       "      {'id': 'stillbirths_per_1000_births'}],\n",
       "     'id': 'maternal_health'},\n",
       "    {'children': [{'id': 'suicide_per_100000_people'},\n",
       "      {'id': 'suicide_total_deaths'}],\n",
       "     'id': 'mental_health'},\n",
       "    {'children': [{'id': 'infant_mortality_rate_per_1000_births'},\n",
       "      {'id': 'newborn_mortality_rate_per_1000'},\n",
       "      {'id': 'newborn_deaths'}],\n",
       "     'id': 'newborn_infants'},\n",
       "    {'children': [{'id': 'malnutrition_weight_for_age_percent_of_children_under_5'},\n",
       "      {'id': 'sugar_per_person_g_per_day'},\n",
       "      {'id': 'food_supply_kilocalories_per_person_and_day'}],\n",
       "     'id': 'nutrition'},\n",
       "    {'children': [{'id': 'alcohol_consumption_per_adult_15plus_litres'},\n",
       "      {'id': 'smoking_adults_percent_of_population_over_age_15'},\n",
       "      {'id': 'smoking_women_percent_of_women_over_age_15'},\n",
       "      {'id': 'smoking_men_percent_of_men_over_age_15'},\n",
       "      {'id': 'body_mass_index_bmi_men_kgperm2'},\n",
       "      {'id': 'body_mass_index_bmi_women_kgperm2'},\n",
       "      {'id': 'blood_pressure_sbp_men_mmhg'},\n",
       "      {'id': 'blood_pressure_sbp_women_mmhg'},\n",
       "      {'id': 'cholesterol_fat_in_blood_men_mmolperl'},\n",
       "      {'id': 'cholesterol_fat_in_blood_women_mmolperl'}],\n",
       "     'id': 'risk_factors'},\n",
       "    {'children': [{'id': 'infectious_tb_new_cases_per_100000_estimated'},\n",
       "      {'id': 'infectious_tb_new_cases_per_100000_reported'},\n",
       "      {'id': 'infectious_tb_number_of_new_cases_estimated'},\n",
       "      {'id': 'infectious_tb_number_of_new_cases_reported'},\n",
       "      {'id': 'infectious_tb_detection_rate_percent'},\n",
       "      {'id': 'infectious_tb_detection_rate_percent_dots_only'},\n",
       "      {'id': 'infectious_tb_treatment_dots_completed_percent'},\n",
       "      {'id': 'tb_programme_dots_population_coverage_percent'},\n",
       "      {'id': 'all_forms_of_tb_new_cases_per_100000_estimated'},\n",
       "      {'id': 'all_forms_of_tb_existing_cases_per_100000_estimated'},\n",
       "      {'id': 'all_forms_of_tb_deaths_per_100000_estimated'},\n",
       "      {'id': 'all_forms_of_tb_new_cases_per_100000_reported'},\n",
       "      {'id': 'all_forms_of_tb_number_of_new_cases_estimated'},\n",
       "      {'id': 'all_forms_of_tb_number_of_existing_cases_estimated'},\n",
       "      {'id': 'all_forms_of_tb_number_of_deaths_estimated'},\n",
       "      {'id': 'all_forms_of_tb_number_of_new_cases_reported'},\n",
       "      {'id': 'all_forms_of_tb_detection_rate_percent'},\n",
       "      {'id': 'all_forms_of_tb_detection_rate_percent_dots_only'},\n",
       "      {'id': 'tb_with_hivplus_new_cases_per_100000_estimated'},\n",
       "      {'id': 'tb_with_hivplus_existing_cases_per_100000_estimated'},\n",
       "      {'id': 'tb_with_hivplus_deaths_per_100000_estimated'},\n",
       "      {'id': 'tb_with_hivplus_number_of_new_cases_estimated'},\n",
       "      {'id': 'tb_with_hivplus_number_of_existing_cases_estimated'},\n",
       "      {'id': 'tb_with_hivplus_number_of_deaths_estimated'}],\n",
       "     'id': 'tb_tuberculosis'},\n",
       "    {'children': [{'id': 'dtp3_immunized_percent_of_one_year_olds'},\n",
       "      {'id': 'hepb3_immunized_percent_of_one_year_olds'},\n",
       "      {'id': 'hib3_immunized_percent_of_one_year_olds'},\n",
       "      {'id': 'mcv_immunized_percent_of_one_year_olds'},\n",
       "      {'id': 'pab_immunized_percent_of_newborns'}],\n",
       "     'id': 'vaccine'},\n",
       "    {'id': 'underweight_children'},\n",
       "    {'id': 'number_of_child_deaths'},\n",
       "    {'id': 'life_expectancy_male'},\n",
       "    {'id': 'life_expectancy_female'},\n",
       "    {'children': [{'id': 'bad_teeth_per_child_12_yr'}], 'id': 'teeth'}],\n",
       "   'id': 'health'},\n",
       "  {'children': [{'children': [{'id': 'sex_ratio_all_age_groups'},\n",
       "      {'id': 'sex_ratio_0_14_years'},\n",
       "      {'id': 'sex_ratio_15_24_years'},\n",
       "      {'id': 'sex_ratio_15_49_years'},\n",
       "      {'id': 'sex_ratio_above_50_years'}],\n",
       "     'id': 'sex_ratio'},\n",
       "    {'children': [{'id': 'population_aged_0_4_years_total_number'},\n",
       "      {'id': 'population_aged_5_9_years_total_number'},\n",
       "      {'id': 'population_aged_10_14_years_total_number'},\n",
       "      {'id': 'population_aged_15_19_years_total_number'},\n",
       "      {'id': 'population_aged_20_39_years_total_number'},\n",
       "      {'id': 'population_aged_40_59_years_total_number'},\n",
       "      {'id': 'population_aged_60plus_years_total_number'}],\n",
       "     'id': 'both_sexes_by_age_total'},\n",
       "    {'id': 'children_and_elderly_per_100_adults'},\n",
       "    {'id': 'median_age_years'},\n",
       "    {'id': 'population_density_per_square_km'},\n",
       "    {'id': 'population_total'},\n",
       "    {'id': 'age_at_1st_marriage_women'},\n",
       "    {'children': [{'id': 'population_aged_0_4_years_both_sexes_percent'},\n",
       "      {'id': 'population_aged_5_9_years_both_sexes_percent'},\n",
       "      {'id': 'population_aged_10_14_years_both_sexes_percent'},\n",
       "      {'id': 'population_aged_15_19_years_both_sexes_percent'},\n",
       "      {'id': 'population_aged_20_39_years_both_sexes_percent'},\n",
       "      {'id': 'population_aged_40_59_years_both_sexes_percent'},\n",
       "      {'id': 'population_aged_60plus_years_both_sexes_percent'}],\n",
       "     'id': 'both_sexes_by_age'},\n",
       "    {'children': [{'id': 'population_in_urban_agglomerations_m_1_million_percent_of_total'},\n",
       "      {'id': 'urban_population'},\n",
       "      {'id': 'urban_population_percent_of_total'},\n",
       "      {'id': 'urban_population_growth_annual_percent'}],\n",
       "     'id': 'urbanization'},\n",
       "    {'children': [{'id': 'population_aged_0_4_years_female_percent'},\n",
       "      {'id': 'population_aged_5_9_years_female_percent'},\n",
       "      {'id': 'population_aged_10_14_years_female_percent'},\n",
       "      {'id': 'population_aged_15_19_years_female_percent'},\n",
       "      {'id': 'population_aged_20_39_years_female_percent'},\n",
       "      {'id': 'population_aged_40_59_years_female_percent'},\n",
       "      {'id': 'population_aged_60plus_years_female_percent'}],\n",
       "     'id': 'female_by_age'},\n",
       "    {'children': [{'id': 'population_aged_0_4_years_male_percent'},\n",
       "      {'id': 'population_aged_5_9_years_male_percent'},\n",
       "      {'id': 'population_aged_10_14_years_male_percent'},\n",
       "      {'id': 'population_aged_15_19_years_male_percent'},\n",
       "      {'id': 'population_aged_20_39_years_male_percent'},\n",
       "      {'id': 'population_aged_40_59_years_male_percent'},\n",
       "      {'id': 'population_aged_60plus_years_male_percent'}],\n",
       "     'id': 'male_by_age'},\n",
       "    {'children': [{'id': 'population_growth_annual_percent'},\n",
       "      {'id': 'crude_birth_rate_births_per_1000_population'},\n",
       "      {'id': 'crude_death_rate_deaths_per_1000_population'},\n",
       "      {'id': 'teen_fertility_rate_births_per_1000_women_ages_15_19'},\n",
       "      {'id': 'new_births_total_number_estimated'}],\n",
       "     'id': 'population_growth'}],\n",
       "   'id': 'population'},\n",
       "  {'id': '_default'},\n",
       "  {'id': 'children_per_woman_total_fertility'},\n",
       "  {'id': 'co2_emissions_tonnes_per_person'},\n",
       "  {'id': 'income_per_person_gdppercapita_ppp_inflation_adjusted'},\n",
       "  {'id': 'child_mortality_0_5_year_olds_dying_per_1000_born'},\n",
       "  {'id': 'life_expectancy_years'},\n",
       "  {'children': [{'children': [{'id': 'math_achievement_4th_grade'},\n",
       "      {'id': 'math_achievement_8th_grade'}],\n",
       "     'id': 'achievement'},\n",
       "    {'children': [{'id': 'ratio_of_girls_to_boys_in_primary_and_secondary_education_perc'},\n",
       "      {'id': 'ratio_of_young_literate_females_to_males_percent_ages_15_24'}],\n",
       "     'id': 'gender_equality'},\n",
       "    {'children': [{'id': 'literacy_rate_adult_female_percent_of_females_ages_15_above'},\n",
       "      {'id': 'literacy_rate_adult_male_percent_of_males_ages_15_and_above'},\n",
       "      {'id': 'literacy_rate_adult_total_percent_of_people_ages_15_and_above'},\n",
       "      {'id': 'literacy_rate_youth_female_percent_of_females_ages_15_24'},\n",
       "      {'id': 'literacy_rate_youth_male_percent_of_males_ages_15_24'},\n",
       "      {'id': 'literacy_rate_youth_total_percent_of_people_ages_15_24'}],\n",
       "     'id': 'literacy'},\n",
       "    {'children': [{'id': 'mean_years_in_school_women_25_years_and_older'},\n",
       "      {'id': 'mean_years_in_school_men_25_years_and_older'},\n",
       "      {'id': 'mean_years_in_school_women_25_to_34_years'},\n",
       "      {'id': 'mean_years_in_school_men_25_to_34_years'},\n",
       "      {'id': 'mean_years_in_school_women_of_reproductive_age_15_to_44'},\n",
       "      {'id': 'mean_years_in_school_women_percent_men_25_to_34_years'}],\n",
       "     'id': 'mean_years_in_school'},\n",
       "    {'children': [{'id': 'children_out_of_school_primary'},\n",
       "      {'id': 'children_out_of_school_primary_female'},\n",
       "      {'id': 'children_out_of_school_primary_male'},\n",
       "      {'id': 'primary_completion_rate_total_percent_of_relevant_age_group'},\n",
       "      {'id': 'primary_school_completion_percent_of_boys'},\n",
       "      {'id': 'primary_school_completion_percent_of_girls'}],\n",
       "     'id': 'school_enrolment'},\n",
       "    {'children': [{'id': 'expenditure_per_student_primary_percent_of_gdp_per_person'},\n",
       "      {'id': 'expenditure_per_student_secondary_percent_of_gdp_per_person'},\n",
       "      {'id': 'expenditure_per_student_tertiary_percent_of_gdp_per_person'}],\n",
       "     'id': 'schooling_cost'}],\n",
       "   'id': 'education'},\n",
       "  {'children': [{'id': 'ifpri_underweight_children'},\n",
       "    {'children': [{'id': 'debt_servicing_costs_percent_of_exports_and_net_income_from_abroad'},\n",
       "      {'id': 'external_debt_total_us_not_inflation_adjusted'},\n",
       "      {'id': 'present_value_of_debt_percent_of_gni'},\n",
       "      {'id': 'exports_unit_value_index_2000100'},\n",
       "      {'id': 'imports_unit_value_index_2000100'},\n",
       "      {'id': 'net_barter_terms_of_trade_2000_100'}],\n",
       "     'id': 'advanced_debt_trade'},\n",
       "    {'children': [{'id': 'under_five_mortality_from_cme_per_1000_born'},\n",
       "      {'id': 'under_five_mortality_from_ihme_per_1000_born'},\n",
       "      {'id': 'child_mortality_0_5_year_olds_more_years_version_7'}],\n",
       "     'id': 'alternative_child_mortality_data'},\n",
       "    {'children': [{'id': 'life_expectancy_at_birth_data_from_ihme'},\n",
       "      {'id': 'children_per_woman_temporary_update'}],\n",
       "     'id': 'alternative_demography_indicators'},\n",
       "    {'children': [{'id': 'energy_supply_per_person_toe'},\n",
       "      {'id': 'energy_from_solid_biofuels_percent'},\n",
       "      {'id': 'residential_energy_use_percent'}],\n",
       "     'id': 'alternative_energy'},\n",
       "    {'children': [{'id': 'gdppercapita_growth_percent_per_year'},\n",
       "      {'id': 'old_version_of_income_per_person_version_3'},\n",
       "      {'id': 'old_version_of_income_per_person_version_8'},\n",
       "      {'id': 'alternative_gdppercapita_ppp_inflation_adjusted_from_pwt'},\n",
       "      {'id': 'subsistence_incomes_per_person'},\n",
       "      {'id': 'alternative_gdp_per_capita_ppp_wb'},\n",
       "      {'id': 'alternative_gdp_per_capita_ppp_pwt_7_1'},\n",
       "      {'id': 'alternative_gdp_per_capita_ppp_pwt_8_0'},\n",
       "      {'id': 'income_per_person_long_series'}],\n",
       "     'id': 'alternative_gdp_data'},\n",
       "    {'children': [{'id': 'alternative_poverty_percent_below_nationally_defined_poverty'},\n",
       "      {'id': '20120905_extreme_poverty_percent_people_below_125_a_day'}],\n",
       "     'id': 'alternative_poverty_measures'},\n",
       "    {'children': [{'id': 'data_quality_income_per_person'},\n",
       "      {'id': 'data_quality_life_expectancy'},\n",
       "      {'id': 'data_quality_population'},\n",
       "      {'id': 'estimate_or_projection_of_under_five_mortality_rate_from_ihme'},\n",
       "      {'id': 'data_quality_children_per_woman'},\n",
       "      {'id': 'data_method_maternal_mortality'}],\n",
       "     'id': 'data_quality_use_as_color'},\n",
       "    {'children': [{'id': 'dead_kids_per_woman'},\n",
       "      {'id': 'surviving_kids_per_woman'}],\n",
       "     'id': 'families'},\n",
       "    {'children': [{'id': 'traffic_deaths_women_per_100000_people'},\n",
       "      {'id': 'traffic_deaths_men_per_100000_people'},\n",
       "      {'id': 'suicide_women_per_100000_people'},\n",
       "      {'id': 'suicide_men_per_100000_people'},\n",
       "      {'id': 'murdered_women_per_100000_people'},\n",
       "      {'id': 'murdered_men_per_100000_people'},\n",
       "      {'id': 'car_deaths_per_100000_people'},\n",
       "      {'id': 'motorcycle_deaths_per_100000_people'},\n",
       "      {'id': 'murdered_children_0_14_per_100000_people'},\n",
       "      {'id': 'murdered_15_29_per_100000_people'},\n",
       "      {'id': 'murdered_30_44_per_100000_people'},\n",
       "      {'id': 'murdered_45_59_per_100000_people'},\n",
       "      {'id': 'murdered_60plus_per_100000_people'},\n",
       "      {'id': 'suicide_age_0_14_per_100000_people'},\n",
       "      {'id': 'suicide_age_15_29_per_100000_people'},\n",
       "      {'id': 'suicide_age_30_44_per_100000_people'},\n",
       "      {'id': 'suicide_age_45_59_per_100000_people'},\n",
       "      {'id': 'suicide_age_60plus_per_100000_people'},\n",
       "      {'id': 'traffic_mortality_children_0_14_per_100000_people'},\n",
       "      {'id': 'traffic_mortality_15_29_per_100000_people'},\n",
       "      {'id': 'traffic_mortality_30_44_per_100000_people'},\n",
       "      {'id': 'traffic_mortality_45_59_per_100000_people'},\n",
       "      {'id': 'traffic_mortality_60plus_per_100000_people'}],\n",
       "     'id': 'injury_deaths_by_gender_age_road_user'},\n",
       "    {'children': [{'id': 'income_per_person_with_projections'},\n",
       "      {'id': 'life_expectancy_at_birth_with_projections'},\n",
       "      {'id': 'children_per_woman_total_fertility_with_projections'},\n",
       "      {'id': 'total_population_with_projections'},\n",
       "      {'id': 'female_population_with_projections'},\n",
       "      {'id': 'male_population_with_projections'},\n",
       "      {'id': 'population_growth_annual_percent_with_projections'}],\n",
       "     'id': 'projections'},\n",
       "    {'children': [{'id': 'year_categorization_1820_2010'},\n",
       "      {'id': 'year_categorization_1950'}],\n",
       "     'id': 'years_use_as_color'},\n",
       "    {'children': [{'id': 'yearly_co2_emissions_tonnes'}],\n",
       "     'id': 'alternative_other_data'},\n",
       "    {'children': [{'id': 'how_far_to_the_north'}],\n",
       "     'id': 'geography_and_infrastructure'},\n",
       "    {'children': [{'id': 'economic_growth_over_the_past_10_years'}],\n",
       "     'id': 'economic_growth'},\n",
       "    {'children': [{'id': 'maternal_mortality_ratio_who'}],\n",
       "     'id': 'alternative_health_data'}],\n",
       "   'id': 'for_advanced_users'},\n",
       "  {'children': [{'children': [{'id': 'agriculture_workers_percent_of_labour_force'},\n",
       "      {'id': 'industry_workers_percent_of_labour_force'},\n",
       "      {'id': 'service_workers_percent_of_labour_force'},\n",
       "      {'id': 'female_agriculture_workers_percent_of_female_labour_force'},\n",
       "      {'id': 'female_industry_workers_percent_of_female_labour_force'},\n",
       "      {'id': 'female_service_workers_percent_of_female_labour_force'},\n",
       "      {'id': 'male_agriculture_workers_percent_of_male_labour_force'},\n",
       "      {'id': 'male_industry_workers_percent_of_male_labour_force'},\n",
       "      {'id': 'male_service_workers_percent_of_male_labour_force'}],\n",
       "     'id': 'employment_by_sector'},\n",
       "    {'children': [{'id': 'family_workers_percent_of_labour_force'},\n",
       "      {'id': 'salaried_workers_percent_of_labour_force'},\n",
       "      {'id': 'self_employed_percent_of_labour_force'},\n",
       "      {'id': 'female_family_workers_percent_of_female_labour_force'},\n",
       "      {'id': 'female_salaried_workers_percent_of_female_labour_force'},\n",
       "      {'id': 'female_self_employed_percent_of_female_labour_force'},\n",
       "      {'id': 'male_family_workers_percent_of_male_labour_force'},\n",
       "      {'id': 'male_salaried_workers_percent_of_male_labour_force'},\n",
       "      {'id': 'male_self_employed_percent_of_male_labour_force'}],\n",
       "     'id': 'employment_by_status'},\n",
       "    {'children': [{'id': 'aged_15_24_employment_rate_percent'},\n",
       "      {'id': 'aged_15plus_employment_rate_percent'},\n",
       "      {'id': 'females_aged_15_24_employment_rate_percent'},\n",
       "      {'id': 'females_aged_15plus_employment_rate_percent'},\n",
       "      {'id': 'males_aged_15_24_employment_rate_percent'},\n",
       "      {'id': 'males_aged_15plus_employment_rate_percent'}],\n",
       "     'id': 'employment_rate'},\n",
       "    {'children': [{'id': 'aged_15_64_labour_force_participation_rate_percent'},\n",
       "      {'id': 'aged_25_54_labour_force_participation_rate_percent'},\n",
       "      {'id': 'aged_15plus_labour_force_participation_rate_percent'},\n",
       "      {'id': 'aged_65plus_labour_force_participation_rate_percent'},\n",
       "      {'id': 'females_aged_15_64_labour_force_participation_rate_percent'},\n",
       "      {'id': 'females_aged_25_54_labour_force_participation_rate_percent'},\n",
       "      {'id': 'females_aged_15plus_labour_force_participation_rate_percent'},\n",
       "      {'id': 'females_aged_65plus_labour_force_participation_rate_percent'},\n",
       "      {'id': 'males_aged_15_64_labour_force_participation_rate_percent'},\n",
       "      {'id': 'males_aged_25_54_labour_force_participation_rate_percent'},\n",
       "      {'id': 'males_aged_15plus_labour_force_participation_rate_percent'},\n",
       "      {'id': 'males_aged_65plus_labour_force_participation_rate_percent'}],\n",
       "     'id': 'labour_force_participation'},\n",
       "    {'children': [{'id': 'aged_15_24_unemployment_rate_percent'},\n",
       "      {'id': 'aged_25_54_unemployment_rate_percent'},\n",
       "      {'id': 'aged_15plus_unemployment_rate_percent'},\n",
       "      {'id': 'aged_55plus_unemployment_rate_percent'},\n",
       "      {'id': 'long_term_unemployment_rate_percent'},\n",
       "      {'id': 'females_aged_15_24_unemployment_rate_percent'},\n",
       "      {'id': 'females_aged_25_54_unemployment_rate_percent'},\n",
       "      {'id': 'females_aged_15plus_unemployment_rate_percent'},\n",
       "      {'id': 'females_aged_55plus_unemployment_rate_percent'},\n",
       "      {'id': 'female_long_term_unemployment_rate_percent'},\n",
       "      {'id': 'males_aged_15_24_unemployment_rate_percent'},\n",
       "      {'id': 'males_aged_25_54_unemployment_rate_percent'},\n",
       "      {'id': 'males_aged_15plus_unemployment_rate_percent'},\n",
       "      {'id': 'males_aged_55plus_unemployment_rate_percent'},\n",
       "      {'id': 'male_long_term_unemployment_rate_percent'}],\n",
       "     'id': 'unemployment'}],\n",
       "   'id': 'work'},\n",
       "  {'children': [{'id': 'children_and_elderly_per_100_adults'},\n",
       "    {'id': 'median_age_years'},\n",
       "    {'id': 'population_density_per_square_km'},\n",
       "    {'id': 'population_total'},\n",
       "    {'id': 'age_at_1st_marriage_women'},\n",
       "    {'children': [{'id': 'population_aged_0_4_years_both_sexes_percent'},\n",
       "      {'id': 'population_aged_5_9_years_both_sexes_percent'},\n",
       "      {'id': 'population_aged_10_14_years_both_sexes_percent'},\n",
       "      {'id': 'population_aged_15_19_years_both_sexes_percent'},\n",
       "      {'id': 'population_aged_20_39_years_both_sexes_percent'},\n",
       "      {'id': 'population_aged_40_59_years_both_sexes_percent'},\n",
       "      {'id': 'population_aged_60plus_years_both_sexes_percent'}],\n",
       "     'id': 'both_sexes_by_age'},\n",
       "    {'children': [{'id': 'population_aged_0_4_years_total_number'},\n",
       "      {'id': 'population_aged_5_9_years_total_number'},\n",
       "      {'id': 'population_aged_10_14_years_total_number'},\n",
       "      {'id': 'population_aged_15_19_years_total_number'},\n",
       "      {'id': 'population_aged_20_39_years_total_number'},\n",
       "      {'id': 'population_aged_40_59_years_total_number'},\n",
       "      {'id': 'population_aged_60plus_years_total_number'}],\n",
       "     'id': 'both_sexes_by_age_total'},\n",
       "    {'children': [{'id': 'population_aged_0_4_years_female_percent'},\n",
       "      {'id': 'population_aged_5_9_years_female_percent'},\n",
       "      {'id': 'population_aged_10_14_years_female_percent'},\n",
       "      {'id': 'population_aged_15_19_years_female_percent'},\n",
       "      {'id': 'population_aged_20_39_years_female_percent'},\n",
       "      {'id': 'population_aged_40_59_years_female_percent'},\n",
       "      {'id': 'population_aged_60plus_years_female_percent'}],\n",
       "     'id': 'female_by_age'},\n",
       "    {'children': [{'id': 'population_aged_0_4_years_male_percent'},\n",
       "      {'id': 'population_aged_5_9_years_male_percent'},\n",
       "      {'id': 'population_aged_10_14_years_male_percent'},\n",
       "      {'id': 'population_aged_15_19_years_male_percent'},\n",
       "      {'id': 'population_aged_20_39_years_male_percent'},\n",
       "      {'id': 'population_aged_40_59_years_male_percent'},\n",
       "      {'id': 'population_aged_60plus_years_male_percent'}],\n",
       "     'id': 'male_by_age'},\n",
       "    {'children': [{'id': 'population_growth_annual_percent'},\n",
       "      {'id': 'crude_birth_rate_births_per_1000_population'},\n",
       "      {'id': 'crude_death_rate_deaths_per_1000_population'},\n",
       "      {'id': 'teen_fertility_rate_births_per_1000_women_ages_15_19'},\n",
       "      {'id': 'new_births_total_number_estimated'}],\n",
       "     'id': 'population_growth'},\n",
       "    {'children': [{'id': 'sex_ratio_all_age_groups'},\n",
       "      {'id': 'sex_ratio_0_14_years'},\n",
       "      {'id': 'sex_ratio_15_24_years'},\n",
       "      {'id': 'sex_ratio_15_49_years'},\n",
       "      {'id': 'sex_ratio_above_50_years'}],\n",
       "     'id': 'sex_ratio'},\n",
       "    {'children': [{'id': 'population_in_urban_agglomerations_m_1_million_percent_of_total'},\n",
       "      {'id': 'urban_population'},\n",
       "      {'id': 'urban_population_percent_of_total'},\n",
       "      {'id': 'urban_population_growth_annual_percent'}],\n",
       "     'id': 'urbanization'}],\n",
       "   'id': 'population'},\n",
       "  {'children': [{'children': [{'id': 'broadband_subscribers'},\n",
       "      {'id': 'broadband_subscribers_per_100_people'},\n",
       "      {'id': 'cell_phones_total'},\n",
       "      {'id': 'cell_phones_per_100_people'},\n",
       "      {'id': 'fixed_line_and_mobile_phone_subscribers_per_100_people'},\n",
       "      {'id': 'internet_users_total_number'},\n",
       "      {'id': 'internet_users_per_100_people'},\n",
       "      {'id': 'personal_computers_total'},\n",
       "      {'id': 'personal_computers_per_100_people'}],\n",
       "     'id': 'communication'},\n",
       "    {'children': [{'id': 'improved_sanitation_overall_access_percent'},\n",
       "      {'id': 'improved_sanitation_urban_access_percent'},\n",
       "      {'id': 'improved_sanitation_rural_access_percent'}],\n",
       "     'id': 'sanitation'},\n",
       "    {'children': [{'id': 'roads_paved_percent_of_total_roads'},\n",
       "      {'id': 'traffic_deaths_per_100000_people'},\n",
       "      {'id': 'cars_trucks_and_buses_per_1000_persons'},\n",
       "      {'id': 'traffic_total_deaths'}],\n",
       "     'id': 'traffic'},\n",
       "    {'children': [{'id': 'improved_water_source_overall_access_percent'},\n",
       "      {'id': 'improved_water_source_urban_access_percent'},\n",
       "      {'id': 'improved_water_source_rural_access_percent'}],\n",
       "     'id': 'water'}],\n",
       "   'id': 'infrastructure'},\n",
       "  {'children': [{'id': 'pump_price_for_gasoline_us_per_liter'},\n",
       "    {'children': [{'id': 'coal_consumption_total'},\n",
       "      {'id': 'coal_consumption_per_cap'}],\n",
       "     'id': 'coal'},\n",
       "    {'children': [{'id': 'electricity_use_per_person'},\n",
       "      {'id': 'electricity_use_total'},\n",
       "      {'id': 'residential_electricity_use_per_person'},\n",
       "      {'id': 'residential_electricity_use_total'},\n",
       "      {'id': 'electricity_generation_total'},\n",
       "      {'id': 'electricity_generation_per_person'}],\n",
       "     'id': 'electricity'},\n",
       "    {'children': [{'id': 'hydro_power_generation_total'},\n",
       "      {'id': 'hydro_power_generation_per_person'}],\n",
       "     'id': 'hydro'},\n",
       "    {'children': [{'id': 'natural_gas_production_total'},\n",
       "      {'id': 'natural_gas_production_per_person'},\n",
       "      {'id': 'natural_gas_proven_reserves_per_person'},\n",
       "      {'id': 'natural_gas_proved_reserves_total'}],\n",
       "     'id': 'natural_gas'},\n",
       "    {'children': [{'id': 'nuclear_power_generation_total'},\n",
       "      {'id': 'nuclear_power_generation_per_person'}],\n",
       "     'id': 'nuclear'},\n",
       "    {'children': [{'id': 'oil_production_per_person'},\n",
       "      {'id': 'oil_production_total'},\n",
       "      {'id': 'oil_proven_reserves_per_person'},\n",
       "      {'id': 'oil_proved_reserves_total'},\n",
       "      {'id': 'oil_consumption_total'},\n",
       "      {'id': 'oil_consumption_per_cap'}],\n",
       "     'id': 'oil'},\n",
       "    {'children': [{'id': 'energy_use_total'},\n",
       "      {'id': 'energy_use_per_person'},\n",
       "      {'id': 'energy_production_total'},\n",
       "      {'id': 'energy_production_per_person'}],\n",
       "     'id': 'total'}],\n",
       "   'id': 'energy'},\n",
       "  {'children': [{'children': [{'id': 'drought_deaths_annual_number'},\n",
       "      {'id': 'earthquake_deaths_annual_number'},\n",
       "      {'id': 'epidemic_deaths_annual_number'},\n",
       "      {'id': 'extreme_temperature_deaths_annual_number'},\n",
       "      {'id': 'flood_deaths_annual_number'},\n",
       "      {'id': 'storm_deaths_annual_number'},\n",
       "      {'id': 'tsunami_deaths_annual_number'},\n",
       "      {'id': 'plane_crash_deaths_annual_number'},\n",
       "      {'id': 'drought_affected_annual_number'},\n",
       "      {'id': 'earthquake_affected_annual_number'},\n",
       "      {'id': 'epidemic_affected_annual_number'},\n",
       "      {'id': 'extreme_temperature_affected_annual_number'},\n",
       "      {'id': 'flood_affected_annual_number'},\n",
       "      {'id': 'storm_affected_annual_number'},\n",
       "      {'id': 'tsunami_affected_annual_number'},\n",
       "      {'id': 'plane_crash_affected_annual_number'}],\n",
       "     'id': 'disasters'},\n",
       "    {'children': [{'id': 'co2_intensity_of_economic_output_kg_co2_per_2005_ppp_of_gdp'},\n",
       "      {'id': 'cumulative_co2_emissions_tonnes'},\n",
       "      {'id': 'sulfur_emissions_per_person_kg'},\n",
       "      {'id': 'total_sulfur_emission_kilotonnes'},\n",
       "      {'id': 'yearly_co2_emissions_1000_tonnes'}],\n",
       "     'id': 'emissions'},\n",
       "    {'children': [{'id': 'forest_land_total_area_ha'},\n",
       "      {'id': 'primary_forest_area_ha'},\n",
       "      {'id': 'planted_forest_area_ha'},\n",
       "      {'id': 'wood_removal_cubic_meters'},\n",
       "      {'id': 'forest_coverage_percent'},\n",
       "      {'id': 'biomass_stock_in_forest_tons'},\n",
       "      {'id': 'privately_owned_forest_land_percent'},\n",
       "      {'id': 'privately_owned_other_wooded_land_percent'},\n",
       "      {'id': 'forest_products_removal_total_dollar'},\n",
       "      {'id': 'forest_products_removal_per_ha_dollar'}],\n",
       "     'id': 'forestry'},\n",
       "    {'children': [{'id': 'agricultural_land_percent_of_land_area'},\n",
       "      {'id': 'forest_area_sq_km'},\n",
       "      {'id': 'surface_area_sq_km'}],\n",
       "     'id': 'geography'},\n",
       "    {'children': [{'id': 'renewable_water_cu_meters_per_person'},\n",
       "      {'id': 'internal_renewable_water_cu_meters_per_person'},\n",
       "      {'id': 'water_withdrawal_cu_meters_per_person'},\n",
       "      {'id': 'municipal_water_withdrawal_cu_meters_per_person'},\n",
       "      {'id': 'agricultural_water_withdrawal_percent_of_total'},\n",
       "      {'id': 'industrial_water_withdrawal_percent_of_total'},\n",
       "      {'id': 'municipal_water_withdrawal_percent_of_total'},\n",
       "      {'id': 'desalinated_water_produced_billion_cu_meters'},\n",
       "      {'id': 'total_water_withdrawal_billion_cu_meters'}],\n",
       "     'id': 'water'}],\n",
       "   'id': 'environment'},\n",
       "  {'children': [{'id': 'murder_per_100000_people'},\n",
       "    {'id': 'corruption_perception_index_cpi'},\n",
       "    {'id': 'democracy_score_use_as_color'},\n",
       "    {'id': 'hdi_human_development_index'},\n",
       "    {'id': 'murder_total_deaths'},\n",
       "    {'children': [{'id': 'military_expenditure_percent_of_gdp'},\n",
       "      {'id': 'battle_deaths_per_100_000'},\n",
       "      {'id': 'armed_forces_personnel_total'},\n",
       "      {'id': 'armed_forces_personnel_percent_of_labor_force'}],\n",
       "     'id': 'war_peace'}],\n",
       "   'id': 'society'}],\n",
       " 'id': '_root'}"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "indb_0['indicatorsTree']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# insert menu\n",
    "\n",
    "def get_menus(tree, upper=''):\n",
    "    res = []\n",
    "    if upper:\n",
    "        lv1 = get_menus(tree)\n",
    "        i = lv1.index(upper)\n",
    "        if 'children' in tree['children'][i].keys():\n",
    "            for t in tree['children'][i]['children']:\n",
    "                res.append(t['id'])\n",
    "    else:       \n",
    "        for t in tree['children']:\n",
    "            res.append(t['id'])\n",
    "    \n",
    "    return res\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['time',\n",
       " '_properties',\n",
       " 'economy',\n",
       " 'health',\n",
       " 'population',\n",
       " '_default',\n",
       " 'children_per_woman_total_fertility',\n",
       " 'co2_emissions_tonnes_per_person',\n",
       " 'income_per_person_gdppercapita_ppp_inflation_adjusted',\n",
       " 'child_mortality_0_5_year_olds_dying_per_1000_born',\n",
       " 'life_expectancy_years',\n",
       " 'education',\n",
       " 'for_advanced_users',\n",
       " 'work',\n",
       " 'population',\n",
       " 'infrastructure',\n",
       " 'energy',\n",
       " 'environment',\n",
       " 'society',\n",
       " 'lol',\n",
       " 'testing_root']"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_menus(indb_0['indicatorsTree'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "concepts.columns = list(map(to_concept_id, concepts.columns))\n",
    "concepts['menu_level1'] = concepts['menu_level1'].apply(to_concept_id)\n",
    "concepts['menu_level_2'] = concepts['menu_level_2'].apply(to_concept_id)\n",
    "\n",
    "k = concepts[concepts['ddf_id'] == u'———————————————————————'].index\n",
    "concepts = concepts.drop(k)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "g = concepts.set_index('ddf_id').groupby(['menu_level1', 'menu_level_2']).groups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g2 = {('economy', np.nan): ['testing'],\n",
    "      (np.nan, np.nan): ['testing_root'],\n",
    "      ('economy', 'newm'): ['ohnew'],\n",
    "      ('lol', np.nan): ['lololol'],\n",
    "      ('lol', 'ohohoh'): ['ohsjkd', 'jisodjfojs'],\n",
    "     }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# TODO: filter it first from indicatorDB\n",
    "\n",
    "for k, v in g2.items():\n",
    "    \n",
    "    l1, l2 = k\n",
    "    \n",
    "    if l1 is np.nan:\n",
    "        for c in v:\n",
    "            d = {'id': c}\n",
    "            if d not in indb_0['indicatorsTree']['children']:\n",
    "                indb_0['indicatorsTree']['children'].append(d)\n",
    "    \n",
    "    else:\n",
    "        try:\n",
    "            m1 = get_menus(indb_0['indicatorsTree'])\n",
    "            i1 = m1.index(l1)\n",
    "        except ValueError:\n",
    "            indb_0['indicatorsTree']['children'].append({'id': l1, 'children': []})\n",
    "            m1 = get_menus(indb_0['indicatorsTree'])\n",
    "            i1 = m1.index(l1)\n",
    "        \n",
    "        if l2 is np.nan:\n",
    "            for c in v:\n",
    "                d = {'id': c}\n",
    "                if d not in indb_0['indicatorsTree']['children'][i1]['children']:\n",
    "                    indb_0['indicatorsTree']['children'][i1]['children'].append(d)\n",
    "                    \n",
    "        else:\n",
    "            try:\n",
    "                m2 = get_menus(indb_0['indicatorsTree'], l1)\n",
    "                i2 = m2.index(l2)\n",
    "            except ValueError:\n",
    "                if 'children' in indb_0['indicatorsTree']['children'][i1].keys():\n",
    "                    indb_0['indicatorsTree']['children'][i1]['children'].append({'id': l2, 'children': []})\n",
    "                else:\n",
    "                    indb_0['indicatorsTree']['children'][i1]['children'] = [{'id': l2, 'children': []}]\n",
    "                m2 = get_menus(indb_0['indicatorsTree'], l1)\n",
    "                i2 = m2.index(l2)\n",
    "            \n",
    "            for c in v:\n",
    "                d = {'id': c}\n",
    "                if d not in indb_0['indicatorsTree']['children'][i1]['children'][i2]['children']:              \n",
    "                    indb_0['indicatorsTree']['children'][i1]['children'][i2]['children'].append(d)\n",
    "\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'children': [{'id': 'lololol'},\n",
       "  {'children': [{'id': 'ohsjkd'}, {'id': 'jisodjfojs'}], 'id': 'ohohoh'}],\n",
       " 'id': 'lol'}"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "i1 = get_menus(indb_0['indicatorsTree']).index('lol')\n",
    "\n",
    "indb_0['indicatorsTree']['children'][i1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "for i in concepts['ddf_id']:\n",
    "    if i not in indb_0['indicatorsDB'].keys():\n",
    "        print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# also applies for en.json\n",
    "f_in = open('/Users/semio/src/work/Gapminder/vizabi/.data/waffles/metadata.json')\n",
    "f_out = open('/Users/semio/src/work/Gapminder/vizabi/.data/waffles/metadata_old.json', 'w')\n",
    "\n",
    "new = f_in.read()\n",
    "\n",
    "for k, v in a.iteritems():\n",
    "    if k in new:\n",
    "        new = new.replace(k, v)\n",
    "    else:\n",
    "        print(k)\n",
    "    \n",
    "f_out.write(new)\n",
    "f_out.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3.22 updates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# 1. Map the geo entity id’s to new ones according to this file: \n",
    "# https://github.com/Gapminder/waffle-server/blob/development/csv_data_mapping_cli/geo-mapping.json\n",
    "import json\n",
    "mappins = './source/geo-mapping.json'\n",
    "m = json.load(open(mappins))\n",
    "\n",
    "# now we go back to the datapoints and entities. check above "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 299,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "mm = country4[['country', 'country_2']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 303,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "mmm = mm[mm.country != mm.country_2].set_index('country_2')['country'].to_dict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 306,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "json.dump(mmm, open('./output/tmp/geo-mapping.json', 'w'), indent=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# new data points\n",
    "dpc = pd.read_csv('./source/dont-panic-poverty.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "rm = {'gini': 'sg_gini', \n",
    "      'population': 'sg_population',\n",
    "      'gdp_p_cap_const_ppp2011_dollar': 'sg_gdp_p_cap_const_ppp2011_dollar'\n",
    "     }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "dpc = dpc.rename(columns=rm)  # TODO: add to concept file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "for k in rm.values():\n",
    "    dpc[['geo', 'time', k]].dropna().sort_values(by=['geo', 'time']).to_csv('./output/ddf/ddf--datapoints--'+k+'--by--geo--time.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 370,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# metadata.json\n",
    "\n",
    "c_all2 = pd.concat([cc, cc2])\n",
    "\n",
    "mdata = c_all2[['concept', 'indicator_url', 'scales', 'interpolation']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 371,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>concept</th>\n",
       "      <th>indicator_url</th>\n",
       "      <th>scales</th>\n",
       "      <th>interpolation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>children_per_woman_total_fertility</td>\n",
       "      <td>http://spreadsheets.google.com/pub?key=phAwcNA...</td>\n",
       "      <td>[linear, log]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>co2_emissions_tonnes_per_person</td>\n",
       "      <td>http://spreadsheets.google.com/pub?key=phAwcNA...</td>\n",
       "      <td>[linear, log]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>income_per_person_gdppercapita_ppp_inflation_a...</td>\n",
       "      <td>http://spreadsheets.google.com/pub?key=phAwcNA...</td>\n",
       "      <td>[log, linear]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>child_mortality_0_5_year_olds_dying_per_1000_born</td>\n",
       "      <td>http://spreadsheets.google.com/pub?key=0ArfEDs...</td>\n",
       "      <td>[log, linear]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>life_expectancy_years</td>\n",
       "      <td>http://spreadsheets.google.com/pub?key=phAwcNA...</td>\n",
       "      <td>[linear, log]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             concept  \\\n",
       "0                 children_per_woman_total_fertility   \n",
       "1                    co2_emissions_tonnes_per_person   \n",
       "2  income_per_person_gdppercapita_ppp_inflation_a...   \n",
       "3  child_mortality_0_5_year_olds_dying_per_1000_born   \n",
       "4                              life_expectancy_years   \n",
       "\n",
       "                                       indicator_url         scales  \\\n",
       "0  http://spreadsheets.google.com/pub?key=phAwcNA...  [linear, log]   \n",
       "1  http://spreadsheets.google.com/pub?key=phAwcNA...  [linear, log]   \n",
       "2  http://spreadsheets.google.com/pub?key=phAwcNA...  [log, linear]   \n",
       "3  http://spreadsheets.google.com/pub?key=0ArfEDs...  [log, linear]   \n",
       "4  http://spreadsheets.google.com/pub?key=phAwcNA...  [linear, log]   \n",
       "\n",
       "  interpolation  \n",
       "0           NaN  \n",
       "1           NaN  \n",
       "2           NaN  \n",
       "3           NaN  \n",
       "4           NaN  "
      ]
     },
     "execution_count": 371,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mdata.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 372,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "mdata = mdata.set_index('concept')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 373,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "mdata.columns = ['sourceLink', 'scales', 'interpolation']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 374,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "mdata['use'] = 'indicator'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 375,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sourceLink</th>\n",
       "      <th>scales</th>\n",
       "      <th>interpolation</th>\n",
       "      <th>use</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>concept</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>children_per_woman_total_fertility</th>\n",
       "      <td>http://spreadsheets.google.com/pub?key=phAwcNA...</td>\n",
       "      <td>[linear, log]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>indicator</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>co2_emissions_tonnes_per_person</th>\n",
       "      <td>http://spreadsheets.google.com/pub?key=phAwcNA...</td>\n",
       "      <td>[linear, log]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>indicator</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>income_per_person_gdppercapita_ppp_inflation_adjusted</th>\n",
       "      <td>http://spreadsheets.google.com/pub?key=phAwcNA...</td>\n",
       "      <td>[log, linear]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>indicator</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>child_mortality_0_5_year_olds_dying_per_1000_born</th>\n",
       "      <td>http://spreadsheets.google.com/pub?key=0ArfEDs...</td>\n",
       "      <td>[log, linear]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>indicator</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>life_expectancy_years</th>\n",
       "      <td>http://spreadsheets.google.com/pub?key=phAwcNA...</td>\n",
       "      <td>[linear, log]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>indicator</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                           sourceLink  \\\n",
       "concept                                                                                                 \n",
       "children_per_woman_total_fertility                  http://spreadsheets.google.com/pub?key=phAwcNA...   \n",
       "co2_emissions_tonnes_per_person                     http://spreadsheets.google.com/pub?key=phAwcNA...   \n",
       "income_per_person_gdppercapita_ppp_inflation_ad...  http://spreadsheets.google.com/pub?key=phAwcNA...   \n",
       "child_mortality_0_5_year_olds_dying_per_1000_born   http://spreadsheets.google.com/pub?key=0ArfEDs...   \n",
       "life_expectancy_years                               http://spreadsheets.google.com/pub?key=phAwcNA...   \n",
       "\n",
       "                                                           scales  \\\n",
       "concept                                                             \n",
       "children_per_woman_total_fertility                  [linear, log]   \n",
       "co2_emissions_tonnes_per_person                     [linear, log]   \n",
       "income_per_person_gdppercapita_ppp_inflation_ad...  [log, linear]   \n",
       "child_mortality_0_5_year_olds_dying_per_1000_born   [log, linear]   \n",
       "life_expectancy_years                               [linear, log]   \n",
       "\n",
       "                                                   interpolation        use  \n",
       "concept                                                                      \n",
       "children_per_woman_total_fertility                           NaN  indicator  \n",
       "co2_emissions_tonnes_per_person                              NaN  indicator  \n",
       "income_per_person_gdppercapita_ppp_inflation_ad...           NaN  indicator  \n",
       "child_mortality_0_5_year_olds_dying_per_1000_born            NaN  indicator  \n",
       "life_expectancy_years                                        NaN  indicator  "
      ]
     },
     "execution_count": 375,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mdata.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 376,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "indb = {'indicatorsDB': {}}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 493,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "indb['indicatorsDB'].update(to_dict_dropna(mdata))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 378,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "panic = dict([[rm[i],meta2['indicatorsDB'][i]] for i in rm.keys()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 379,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "indb['indicatorsDB'].update(panic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 380,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# geo.world_4region\n",
    "geomd = {'geo.world_4region': meta2['indicatorsDB']['geo.region']}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 381,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "indb['indicatorsDB'].update(geomd)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 382,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# area\n",
    "area = json.load(open('./source/area_categorizarion.json'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 393,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "res = {}\n",
    "\n",
    "for i in range(len(area)):\n",
    "    key = to_concept_id(area[i]['n'])\n",
    "    source = area[i]['sourceName']\n",
    "    \n",
    "    res[key] = {'use': 'property', 'scales': ['ordinal'], 'sourceLink': source}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 395,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "indb['indicatorsDB'].update(res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 387,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['dataCollectionUrl', 'groupings', 'id', 'n', 'a', 'sourceName', 'providerUrl'])"
      ]
     },
     "execution_count": 387,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "area[1].keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 391,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'How rich are you?'"
      ]
     },
     "execution_count": 391,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "area[1]['a']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 332,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
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       "   'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdDhjcXdjbURLMFFVcVFPYThhYmtvZXc',\n",
       "  'use': 'indicator'},\n",
       " 'adults_with_hiv_percent_age_15_49': {'scales': ['log', 'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEfbZyl0qjbiRQ',\n",
       "  'use': 'indicator'},\n",
       " 'age_at_1st_marriage_women': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=t4eF8H_jq_xyKCUHAX6VT1g',\n",
       "  'use': 'indicator'},\n",
       " 'aged_15_24_employment_rate_percent': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rfHz_nx27dDQo4dUoIeVT3A',\n",
       "  'use': 'indicator'},\n",
       " 'aged_15_24_unemployment_rate_percent': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rb0oP4d1BREXa8xMIUf4NZg',\n",
       "  'use': 'indicator'},\n",
       " 'aged_15_64_labour_force_participation_rate_percent': {'scales': ['linear',\n",
       "   'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rx1TECfEnGlnomonxCCO-Aw',\n",
       "  'use': 'indicator'},\n",
       " 'aged_15plus_employment_rate_percent': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rV0ksExNqh6V_h40f0_nFjg',\n",
       "  'use': 'indicator'},\n",
       " 'aged_15plus_labour_force_participation_rate_percent': {'scales': ['linear',\n",
       "   'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=ryyQX_1TXlohXWOSUswhIKg',\n",
       "  'use': 'indicator'},\n",
       " 'aged_15plus_unemployment_rate_percent': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rlD36wGmkwFt3ED558waCTQ',\n",
       "  'use': 'indicator'},\n",
       " 'aged_25_54_labour_force_participation_rate_percent': {'scales': ['linear',\n",
       "   'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rTrB-PY0sfM_gdAQ20XovfA',\n",
       "  'use': 'indicator'},\n",
       " 'aged_25_54_unemployment_rate_percent': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rEMA-cbNPaOtpDyxTcwugnw',\n",
       "  'use': 'indicator'},\n",
       " 'aged_55plus_unemployment_rate_percent': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rNn0y3e0bCpaqTM_8BVZBdg',\n",
       "  'use': 'indicator'},\n",
       " 'aged_65plus_labour_force_participation_rate_percent': {'scales': ['linear',\n",
       "   'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=r1hlZB_n1rpXTij11Kw7lTQ',\n",
       "  'use': 'indicator'},\n",
       " 'agricultural_land_percent_of_land_area': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdEF3alRGS0JQZVgwSW1FWUxUQmZoWXc',\n",
       "  'use': 'indicator'},\n",
       " 'agricultural_water_withdrawal_percent_of_total': {'scales': ['linear',\n",
       "   'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rab3jHe_JZrU1pqlX0xnQEw',\n",
       "  'use': 'indicator'},\n",
       " 'agriculture_percent_of_gdp': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdFhPbDdCTTYxM1dGc21UdE9sSkp1WEE',\n",
       "  'use': 'indicator'},\n",
       " 'agriculture_workers_percent_of_labour_force': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rzFD5mOuB5mR7-vLoP04LAQ',\n",
       "  'use': 'indicator'},\n",
       " 'aid_given_2007_us': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tFOn62dEO9QCyIKK6kgSYRQ',\n",
       "  'use': 'indicator'},\n",
       " 'aid_given_per_person_2007_us': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tGTst0WEm8V8zI9LOYvGmTg',\n",
       "  'use': 'indicator'},\n",
       " 'aid_given_percent_of_gni': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tQR7RhlZdPjBkVCDPPF4zUg',\n",
       "  'use': 'indicator'},\n",
       " 'aid_received_per_person_current_us': {'scales': ['log', 'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=t9GL1nIZdtxszJbjKErN2Hg',\n",
       "  'use': 'indicator'},\n",
       " 'aid_received_percent_of_gni': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tzK6dx2JltRfVXFI1ADh84w',\n",
       "  'use': 'indicator'},\n",
       " 'aid_received_total_us_inflation_adjusted': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdHVuNVpKdnNCa08yV3NOd0Zsal9JaWc',\n",
       "  'use': 'indicator'},\n",
       " 'alcohol_consumption_per_adult_15plus_litres': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://spreadsheets.google.com/pub?key=0AgogXXPMARyldGJqTDRfNHBWODJMRWlZaVhNclhNZXc',\n",
       "  'use': 'indicator'},\n",
       " 'all_causes_deaths_in_children_1_59_months_per_1000_births': {'scales': ['log',\n",
       "   'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=t9FP3_OPrE2ug_I_iNsbePg',\n",
       "  'use': 'indicator'},\n",
       " 'all_causes_deaths_in_children_1_59_months_total_deaths': {'scales': ['log',\n",
       "   'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=taYeez4Mkk8OvdH-q4QAxxQ',\n",
       "  'use': 'indicator'},\n",
       " 'all_causes_deaths_in_newborn_per_1000_births': {'scales': ['log', 'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tbpc_fYEqPzaE7pDWBG84Rw',\n",
       "  'use': 'indicator'},\n",
       " 'all_causes_deaths_in_newborn_total_deaths': {'scales': ['log', 'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tBVcAKWEbc2s687q6D9yuYg',\n",
       "  'use': 'indicator'},\n",
       " 'all_forms_of_tb_deaths_per_100000_estimated': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rWM9yEzjpGJvcJlUAIm35tA',\n",
       "  'use': 'indicator'},\n",
       " 'all_forms_of_tb_detection_rate_percent': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=ru195-zJ0rsx5axPIvm_bRA',\n",
       "  'use': 'indicator'},\n",
       " 'all_forms_of_tb_detection_rate_percent_dots_only': {'scales': ['linear',\n",
       "   'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rutVwqgB14uRV_f2dRbqhUA',\n",
       "  'use': 'indicator'},\n",
       " 'all_forms_of_tb_existing_cases_per_100000_estimated': {'scales': ['linear',\n",
       "   'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rZNoyaocUmUGuFyRgjJUpig',\n",
       "  'use': 'indicator'},\n",
       " 'all_forms_of_tb_new_cases_per_100000_estimated': {'scales': ['linear',\n",
       "   'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rMsQHawTObBb6_U2ESjKXYw',\n",
       "  'use': 'indicator'},\n",
       " 'all_forms_of_tb_new_cases_per_100000_reported': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rYICvtvVz28fVyQuG_ote2w',\n",
       "  'use': 'indicator'},\n",
       " 'all_forms_of_tb_number_of_deaths_estimated': {'scales': ['log', 'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rrQ_y5fqQPlznp5mJGXWr-A',\n",
       "  'use': 'indicator'},\n",
       " 'all_forms_of_tb_number_of_existing_cases_estimated': {'scales': ['log',\n",
       "   'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rOCGMcGcrZs-dfeTEC792ZQ',\n",
       "  'use': 'indicator'},\n",
       " 'all_forms_of_tb_number_of_new_cases_estimated': {'scales': ['log', 'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rhZayTbvH3ZLlSN64OuRYFg',\n",
       "  'use': 'indicator'},\n",
       " 'all_forms_of_tb_number_of_new_cases_reported': {'scales': ['log', 'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=r5UikGjnZlemlelKY0NX9Pg',\n",
       "  'use': 'indicator'},\n",
       " 'alternative_gdp_per_capita_ppp_pwt_7_1': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0ArtujvvFrPjVdEhhbV90QlJ3RFM0TW83dHd6RXBiX3c',\n",
       "  'use': 'indicator'},\n",
       " 'alternative_gdp_per_capita_ppp_pwt_8_0': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdGhmWXFMY0hNcDFiTEt3ZVE4b21wRlE',\n",
       "  'use': 'indicator'},\n",
       " 'alternative_gdp_per_capita_ppp_wb': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0ArtujvvFrPjVdERlTHZFQ2ZaUkpySHpQMF82UmdlcUE',\n",
       "  'use': 'indicator'},\n",
       " 'alternative_gdppercapita_ppp_inflation_adjusted_from_pwt': {'scales': ['log',\n",
       "   'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tSUr_yZVbM6a3AGJEq_Z2Pw',\n",
       "  'use': 'indicator'},\n",
       " 'alternative_poverty_percent_below_nationally_defined_poverty': {'scales': ['linear',\n",
       "   'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEd1R9UmohEIaA',\n",
       "  'use': 'indicator'},\n",
       " 'annual_hiv_deaths_number_all_ages': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdHZJdFBhYVlvck43d1R6ZFYzUWpiLWc',\n",
       "  'use': 'indicator'},\n",
       " 'armed_forces_personnel_percent_of_labor_force': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://spreadsheets.google.com/pub?key=0Asm_G8nr4TCSdFFoVWRjcUdKZDFydGdGNXkzS2ZRbHc',\n",
       "  'use': 'indicator'},\n",
       " 'armed_forces_personnel_total': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://spreadsheets.google.com/pub?key=0Asm_G8nr4TCSdG1nNjk5RzItcUp6N2dSdHUwOENXa0E',\n",
       "  'use': 'indicator'},\n",
       " 'arms_exports_us_inflation_adjusted': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdGpkU3BSVmw5UXhTMWd6UFc1eXI3Rnc',\n",
       "  'use': 'indicator'},\n",
       " 'arms_imports_us_inflation_adjusted': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdEljeENrOXlFXzR3Rm8xT0drTV9YclE',\n",
       "  'use': 'indicator'},\n",
       " 'art_coverage_percent_cd4_l_350': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdHMzRDA5Z1RjWkJIWkNfdWNBVFR6b1E',\n",
       "  'use': 'indicator'},\n",
       " 'average_age_of_dollar_billionaires_years': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=t_KhYe1qTGh4c90N61AUDSg',\n",
       "  'use': 'indicator'},\n",
       " 'bad_teeth_per_child_12_yr': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj3Os9LVO_pRDA',\n",
       "  'use': 'indicator'},\n",
       " 'battle_deaths_per_100_000': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=0AgogXXPMARyldElMWEl4RFVTemlMbzJqRU50ZDJ3SHc',\n",
       "  'use': 'indicator'},\n",
       " 'biomass_stock_in_forest_tons': {'scales': ['log', 'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pp59adS3CHWcsSl830EklJA',\n",
       "  'use': 'indicator'},\n",
       " 'birth_asphyxia_deaths_in_newborn_per_1000_births': {'scales': ['log',\n",
       "   'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=t_0WcTuc94YT9cJVvy1tmUg',\n",
       "  'use': 'indicator'},\n",
       " 'birth_asphyxia_deaths_in_newborn_total_deaths': {'scales': ['log', 'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=twrll6eL8GeIU4P71aTakmg',\n",
       "  'use': 'indicator'},\n",
       " 'births_attended_by_skilled_health_staff_percent_of_total': {'scales': ['linear',\n",
       "   'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdF9OQ2dSSG5nNFhpS3RnRVZHUzZMb3c',\n",
       "  'use': 'indicator'},\n",
       " 'blood_pressure_sbp_men_mmhg': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdHNwRm9DN1FnT3hXWWZVSncxMkZyS2c',\n",
       "  'use': 'indicator'},\n",
       " 'blood_pressure_sbp_women_mmhg': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdHBzUVVSMDlTX1ZCUnNJQ3ZFdkFXVFE',\n",
       "  'use': 'indicator'},\n",
       " 'body_mass_index_bmi_men_kgperm2': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdF9saE1pWUNYVkVsNU1FdW1Yem81Nmc',\n",
       "  'use': 'indicator'},\n",
       " 'body_mass_index_bmi_women_kgperm2': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdGt0elo2dzJMVVQ3WmFGSmdhc09LRlE',\n",
       "  'use': 'indicator'},\n",
       " 'breast_cancer_deaths_per_100000_women': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj3wJUwXXDdiGg',\n",
       "  'use': 'indicator'},\n",
       " 'breast_cancer_new_cases_per_100000_women': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj0Zbn8wVYsEHQ',\n",
       "  'use': 'indicator'},\n",
       " 'breast_cancer_number_of_female_deaths': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj07QB-Apx8RfQ',\n",
       "  'use': 'indicator'},\n",
       " 'breast_cancer_number_of_new_female_cases': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj2fGuJ1VdTpOw',\n",
       "  'use': 'indicator'},\n",
       " 'broadband_subscribers': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdEpMTHBoMmNzcDVCNVRHWE5zSVJVRHc',\n",
       "  'use': 'indicator'},\n",
       " 'broadband_subscribers_per_100_people': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdHdmMGVNNnV1SHBONDRTdTJzTVBKQXc',\n",
       "  'use': 'indicator'},\n",
       " 'burns_deaths_per_100000_people': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=0AgogXXPMARyldGloTm9wekpDcUdMUjhlYWFKaHdnVWc',\n",
       "  'use': 'indicator'},\n",
       " 'car_deaths_per_100000_people': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tLf-4GD5z0QxqsDoUz4vOlg',\n",
       "  'use': 'indicator'},\n",
       " 'cars_trucks_and_buses_per_1000_persons': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tu0H0unnUriNvMXwH_qOqzw',\n",
       "  'use': 'indicator'},\n",
       " 'cell_phones_per_100_people': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdG1MSjEyS0h2QjRQZ3FXRVR2dVQyeFE',\n",
       "  'use': 'indicator'},\n",
       " 'cell_phones_total': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdEhWLWtqNzljbWg4ZXV6M09JQXNGaUE',\n",
       "  'use': 'indicator'},\n",
       " 'central_bank_discount_rate_annual_percent': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEejn8qHNmm4LQ',\n",
       "  'use': 'indicator'},\n",
       " 'cervical_cancer_deaths_per_100000_women': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj0jPl21g3mqfQ',\n",
       "  'use': 'indicator'},\n",
       " 'cervical_cancer_new_cases_per_100000_women': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj3XpKHFksEPcA',\n",
       "  'use': 'indicator'},\n",
       " 'cervical_cancer_number_of_female_deaths': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj2KBU_veE9AQg',\n",
       "  'use': 'indicator'},\n",
       " 'cervical_cancer_number_of_new_female_cases': {'scales': ['linear', 'log'],\n",
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       " 'female_salaried_workers_percent_of_female_labour_force': {'scales': ['linear',\n",
       "   'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rhuyv42EAyApMwy4tDYm3XQ',\n",
       "  'use': 'indicator'},\n",
       " 'female_self_employed_percent_of_female_labour_force': {'scales': ['linear',\n",
       "   'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rIe2Y4f4Ehde4I4BGPN2VBg',\n",
       "  'use': 'indicator'},\n",
       " 'female_service_workers_percent_of_female_labour_force': {'scales': ['linear',\n",
       "   'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=r1B3mjfpBItUmvrhqaRgTWQ',\n",
       "  'use': 'indicator'},\n",
       " 'females_aged_15_24_employment_rate_percent': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rRS0FbArN8jYsY25X-ZiU9A',\n",
       "  'use': 'indicator'},\n",
       " 'females_aged_15_24_unemployment_rate_percent': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rMf--YMvuEKf2LVppT63Xvw',\n",
       "  'use': 'indicator'},\n",
       " 'females_aged_15_64_labour_force_participation_rate_percent': {'scales': ['linear',\n",
       "   'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rLRScmH2JZmjxsCGW2LB1cA',\n",
       "  'use': 'indicator'},\n",
       " 'females_aged_15plus_employment_rate_percent': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rOXvRa2ZC2oXqBn7gz62IMg',\n",
       "  'use': 'indicator'},\n",
       " 'females_aged_15plus_labour_force_participation_rate_percent': {'scales': ['linear',\n",
       "   'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rZyHDNFsPBn7cqZCIzDQtIg',\n",
       "  'use': 'indicator'},\n",
       " 'females_aged_15plus_unemployment_rate_percent': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rcHjAQAzF2e1yR1R-hywCEw',\n",
       "  'use': 'indicator'},\n",
       " 'females_aged_25_54_labour_force_participation_rate_percent': {'scales': ['linear',\n",
       "   'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rgdYcit5cC0wxcLAQf9kJ_Q',\n",
       "  'use': 'indicator'},\n",
       " 'females_aged_25_54_unemployment_rate_percent': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=r9StWVETzyX9Lv-r4-2sh6w',\n",
       "  'use': 'indicator'},\n",
       " 'females_aged_55plus_unemployment_rate_percent': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rz8kJ7CIyckuQAWgHUHe4sA',\n",
       "  'use': 'indicator'},\n",
       " 'females_aged_65plus_labour_force_participation_rate_percent': {'scales': ['linear',\n",
       "   'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rEZ0xOSmU7UuX7iOyL0Xp3g',\n",
       "  'use': 'indicator'},\n",
       " 'fixed_line_and_mobile_phone_subscribers_per_100_people': {'scales': ['log',\n",
       "   'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEcfLoOcU6GAfg',\n",
       "  'use': 'indicator'},\n",
       " 'flood_affected_annual_number': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rsCDusOObseaoBUdarzw7Kw',\n",
       "  'use': 'indicator'},\n",
       " 'flood_deaths_annual_number': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rtESPUlrTyLEoHpURqE8RAg',\n",
       "  'use': 'indicator'},\n",
       " 'food_supply_kilocalories_per_person_and_day': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdGlYVVpXX20tbU13STZyVG0yNkRrZnc',\n",
       "  'use': 'indicator'},\n",
       " 'foreign_direct_investment_net_inflows_percent_of_gdp': {'scales': ['linear',\n",
       "   'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdE03VFhRMnBpMGZhQ19Vbk9pMGU5VUE',\n",
       "  'use': 'indicator'},\n",
       " 'foreign_direct_investment_net_outflows_percent_of_gdp': {'scales': ['linear',\n",
       "   'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdHQtSzBhVXA2WTNrVDFleUZvZ0doTUE',\n",
       "  'use': 'indicator'},\n",
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       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdFRuaV91Mm9JeUhwR1hHRXJhV3ZBQkE',\n",
       "  'use': 'indicator'},\n",
       " 'forest_coverage_percent': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pp59adS3CHWfRGgfhjf8FBQ',\n",
       "  'use': 'indicator'},\n",
       " 'forest_land_total_area_ha': {'scales': ['log', 'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pp59adS3CHWeB1N1HlpFQVQ',\n",
       "  'use': 'indicator'},\n",
       " 'forest_products_removal_per_ha_dollar': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pp59adS3CHWd9CVdfFx1dEw',\n",
       "  'use': 'indicator'},\n",
       " 'forest_products_removal_total_dollar': {'scales': ['log', 'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pp59adS3CHWf66stZ2oNUAA',\n",
       "  'use': 'indicator'},\n",
       " 'gdp_per_capita_yearly_growth': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=1tAnT0EeP67_DoOJCXb3Wd0hqjVMe0KWHPwUH22-BNmQ',\n",
       "  'use': 'indicator'},\n",
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       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=1LklNUuBgFLNcGyG63kqjyze7N8_fDlNLAWZG4YKwJXc',\n",
       "  'use': 'indicator'},\n",
       " 'gdppercapita_growth_over_next_10_years': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tvllZwGIbhwxLD7EXFhPeXQ',\n",
       "  'use': 'indicator'},\n",
       " 'gdppercapita_growth_percent_per_year': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdEdDWHhBcFpjMUo4MGE2X2Q4WXFQRGc',\n",
       "  'use': 'indicator'},\n",
       " 'gdppercapita_us_inflation_adjusted': {'scales': ['log', 'linear'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdHo5S0J6ekhVOF9QaVhod05QSGV4T3c',\n",
       "  'use': 'indicator'},\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rcTO3doih5lvJCjgLSvlajA',\n",
       "  'use': 'indicator'},\n",
       " 'gdpperworking_hour_us_inflation_adjusted': {'scales': ['log', 'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=r6kTHMinnVedj8gPsUtfZ0g',\n",
       "  'use': 'indicator'},\n",
       " 'gnipercapita_atlasmethod_current_us': {'scales': ['log', 'linear'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdFVrVDZQUnRwZ2lqT2lPMXcySXZwRmc',\n",
       "  'use': 'indicator'},\n",
       " 'gnipercapita_constant_2000_us': {'scales': ['log', 'linear'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdFdqZ0NOdjluMmoyUTBTWTRjWWQzQVE',\n",
       "  'use': 'indicator'},\n",
       " 'gnipercapita_ppp_current_international': {'scales': ['log', 'linear'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdGhJcHAwanc2aFdZeXl1WTVZQnJjb1E',\n",
       "  'use': 'indicator'},\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=t3IAEOsfHK-z6rvGLCDR74g',\n",
       "  'use': 'indicator'},\n",
       " 'government_health_spending_of_total_gov_spending_percent': {'scales': ['linear',\n",
       "   'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEd7K-YgYOkGFQ',\n",
       "  'use': 'indicator'},\n",
       " 'government_health_spending_per_person_international_dollar': {'scales': ['log',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tZ3uHUdw0H__Siyj78GXsGg',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tBwBBkViOJoycBhLnWHqwSQ',\n",
       "  'use': 'indicator'},\n",
       " 'government_share_of_total_health_spending_percent': {'scales': ['linear',\n",
       "   'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEcJI3KBJnrlDQ',\n",
       "  'use': 'indicator'},\n",
       " 'hdi_human_development_index': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tyadrylIpQ1K_iHP407374Q',\n",
       "  'use': 'indicator'},\n",
       " 'health_aid_given_percent_of_aid': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tRybjVoG5Ah9yhKcEx16u5Q',\n",
       "  'use': 'indicator'},\n",
       " 'hepb3_immunized_percent_of_one_year_olds': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=t7pU8fR9_ZzRFIMF3FX47YQ',\n",
       "  'use': 'indicator'},\n",
       " 'hib3_immunized_percent_of_one_year_olds': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=thClNiXoQqfJDzTv0SYIHZg',\n",
       "  'use': 'indicator'},\n",
       " 'high_technology_exports_percent_of_manufactured_exports': {'scales': ['linear',\n",
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       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdEZkTFJZR2RNMVFuRmUzbktyTkoxREE',\n",
       "  'use': 'indicator'},\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=t4C4M_ynK9Ho8tGRj6a5U5w',\n",
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       " 'hiv_deaths_in_children_1_59_months_total_deaths': {'scales': ['log',\n",
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       "  'use': 'indicator'},\n",
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       "  'use': 'indicator'},\n",
       " 'how_far_to_the_north': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rAIffGKCmiCdzTl1C0AR2nw',\n",
       "  'use': 'indicator'},\n",
       " 'hydro_power_generation_per_person': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tSjVrGemv30eCh3jPZkXYCQ',\n",
       "  'use': 'indicator'},\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=t1MShlv870O6LmFNEHazdEg',\n",
       "  'use': 'indicator'},\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdHFkZlc5WkhVQmVmeU0tR0RsSUdTU0E',\n",
       "  'use': 'indicator'},\n",
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       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdEhLMVdnUjZ0d05WWkhjT0FjSDIwQmc',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEcL6zpB3Sj1Wg',\n",
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       "  'sourceLink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdE4tekJPYkR4WmJqYTRPWjc3OTl4WUE',\n",
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       "  'sourceLink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdFNPMTE3d3FHTHdYaGFMXzJyNDBGd3c',\n",
       "  'use': 'indicator'},\n",
       " 'improved_sanitation_urban_access_percent': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEfLbPu48DrKfQ',\n",
       "  'use': 'indicator'},\n",
       " 'improved_water_source_overall_access_percent': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEd98lRwrU3gIg',\n",
       "  'use': 'indicator'},\n",
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       "  'sourceLink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdFhhVzhXUEh0U0hlQ3M3TTZIQTFySUE',\n",
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       "  'sourceLink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdDlJNzNjcVc5Sm9memNuVHRzY1FsOXc',\n",
       "  'use': 'indicator'},\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj1jiMAkmq1iMg',\n",
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       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=1SKMoV61HUNwWfYNCZs2M9zgMWqVrs9YrbJxs5HQbJSQ',\n",
       "  'use': 'indicator'},\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rX3Jfop_ebuY-chuMpCgmRg',\n",
       "  'use': 'indicator'},\n",
       " 'income_share_of_2nd_poorest_20percent': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tXRyZGCfHsWMmr53VFxrqTw',\n",
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       " 'income_share_of_2nd_richest_20percent': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=twSOUYrIFh2W2snDUt7VaQg',\n",
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       " 'income_share_of_middle_20percent': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=t_-14NtXH6xZX48xHG75z5w',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=trzLWJQU4SZMDpeVg3XnL5A',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEdIyrBS31XAaw',\n",
       "  'use': 'indicator'},\n",
       " 'income_share_of_richest_10percent': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tmKvydPl_roGIQBrMYA6C4g',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tLnCxItXzRSu9gH-5PyEFDw',\n",
       "  'use': 'indicator'},\n",
       " 'industrial_water_withdrawal_percent_of_total': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rGKP-BBylLOM11iGahW1lxA',\n",
       "  'use': 'indicator'},\n",
       " 'industry_percent_of_gdp': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdHA2UEFOYTlUTWtzV29xbHFuMU00SFE',\n",
       "  'use': 'indicator'},\n",
       " 'industry_workers_percent_of_labour_force': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rqcJTExcUqNdolB-7flqebQ',\n",
       "  'use': 'indicator'},\n",
       " 'inequality_index_gini': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEcjeKHnZq6RIg',\n",
       "  'use': 'indicator'},\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj0NpF2PTov2Cw',\n",
       "  'use': 'indicator'},\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rDb6EYc4YUTBRfXlBvjHYlg',\n",
       "  'use': 'indicator'},\n",
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       "  'use': 'indicator'},\n",
       " 'infectious_tb_treatment_dots_completed_percent': {'scales': ['linear',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rewICFMTvBuer8UoJIK0yUg',\n",
       "  'use': 'indicator'},\n",
       " 'inflation_annual_percent': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdGJoOUJXalk3STFYUG85MkxlbnQxMmc',\n",
       "  'use': 'indicator'},\n",
       " 'injury_deaths_in_children_1_59_months_per_1000_births': {'scales': ['log',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tfOi0Ji7pJDJbxJVqwJXj9g',\n",
       "  'use': 'indicator'},\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tIgjxaAg3M6kuHRcQTjEgsQ',\n",
       "  'use': 'indicator'},\n",
       " 'murdered_15_29_per_100000_people': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://spreadsheets.google.com/pub?key=0AgogXXPMARyldDFGSGhtOWt0cS1JbEIzS29EZzlQRXc',\n",
       "  'use': 'indicator'},\n",
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       "  'sourceLink': 'https://spreadsheets.google.com/pub?key=0AgogXXPMARyldG51d0o2T0JQWXFTMUlydWFsSTZMeFE',\n",
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       "  'sourceLink': 'https://spreadsheets.google.com/pub?key=0AgogXXPMARyldElCSWl6TkpaZ1JpcXVxa2tmUGhxbFE',\n",
       "  'use': 'indicator'},\n",
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       "  'sourceLink': 'https://spreadsheets.google.com/pub?key=0AgogXXPMARyldGF1WHhpZFVQTWswclJHdjE3MkZ4c3c',\n",
       "  'use': 'indicator'},\n",
       " 'murdered_children_0_14_per_100000_people': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=0AgogXXPMARyldC1rcTI5OU50Mnc1djdkNXpnWUFrZmc',\n",
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       " 'murdered_men_per_100000_people': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tHgVOu-6TYQ6Kig0Ur3Y-kw',\n",
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       " 'murdered_women_per_100000_people': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tyeSLo9Zpmw_e05IR3EoReg',\n",
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       " 'natural_gas_production_per_person': {'scales': ['log', 'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEf0IBo_AGrgKA',\n",
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       " 'natural_gas_proved_reserves_total': {'scales': ['linear', 'log'],\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEfZd6DbNF1MKA',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEe5SueBIj6eSw',\n",
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       "  'use': 'indicator'},\n",
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       "  'sourceLink': 'https://docs.google.com/spreadsheets/d/1iTvolhgIMta3MmsoPkGnewJiaybev3MvR9e_7mxZ48o/pubhtml',\n",
       "  'use': 'indicator'},\n",
       " 'newborn_mortality_rate_per_1000': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheets/d/1S3Kcw96vp5-fZbaM7Lck_06IbJ8DagThGI5KHnzeSps/pub',\n",
       "  'use': 'indicator'},\n",
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       "  'sourceLink': 'https://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdFk2WGhwakxTQkt4NUtTdFJDSlFHQ3c',\n",
       "  'use': 'indicator'},\n",
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       "  'use': 'indicator'},\n",
       " 'number_of_child_deaths': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdGhSY2trbEVpYnNsMENqendaVm5ucnc',\n",
       "  'use': 'indicator'},\n",
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       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=1edXplIOkF3Y5OuEWp_aVapd92-OD5aVFAPECZLgP8cA',\n",
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       "  'use': 'indicator'},\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEeUgUuvuJTONQ',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEdNIa3ckVXaCQ',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEfJfS1WYrLeBA',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEfrI4YlDJDUag',\n",
       "  'use': 'indicator'},\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj0npaJxInyYDg',\n",
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       "  'use': 'indicator'},\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tiYIen5OQP0fKiQbg6g8VyA',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tyPO4OLCIZtK5zcdkafcHMA',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tqjUijP4mi_dHKkCZjOn0oA',\n",
       "  'use': 'indicator'},\n",
       " 'out_of_pocket_share_of_total_health_spending_percent': {'scales': ['linear',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tXf6_OUYVmyEMZo0g4DQw6w',\n",
       "  'use': 'indicator'},\n",
       " 'pab_immunized_percent_of_newborns': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tnvxVX8aOAl0dwDNujbELPQ',\n",
       "  'use': 'indicator'},\n",
       " 'patent_applications_total': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEd5FA9xlfO9eA',\n",
       "  'use': 'indicator'},\n",
       " 'patents_granted_total': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEdMioz5VJKXHw',\n",
       "  'use': 'indicator'},\n",
       " 'patents_in_force_total': {'scales': ['linear', 'log'],\n",
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       "  'use': 'indicator'},\n",
       " 'people_living_with_hiv_number_all_ages': {'scales': ['log', 'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEe1GaiYJX2qGA',\n",
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       " 'personal_computers_per_100_people': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEdFW4nUY4gQdA',\n",
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       "  'use': 'indicator'},\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=t4RbfeK6Dtt2srxw4REoXxQ',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rhbS3kWOfMzvY4ofUFoeFJg',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pp59adS3CHWc4aJd9fV8zZg',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tCe8N5KXAYCJteQokAqVM_A',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tOXHWd6PcUGK3Dg-k2N8Clw',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tjvbVGhVx7YCk1uguLrkaag',\n",
       "  'use': 'indicator'},\n",
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       "  'use': 'indicator'},\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rsOONWhmGBtzb4j__0MJv7Q',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=roLpNPQkooNCFzpTWXQ48Dw',\n",
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       " 'population_aged_0_4_years_male_percent': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rIpDsoI9lVTCh_PRqm66Tcw',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rovrK0Uj9JPN95P9adob0tw',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rmViJSkPd4xZneV2Q6gzFwQ',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rJwVmwTFzheqVUzYWwSqXlA',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rmQZ_H88rIhF3315QBZpcIQ',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=r4VUu4a4AaWqXXoAsFz-z-Q',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rYEHWlJHaLjHtcsSpRRJeig',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rYfw4UJZSizLRtgDs73d5jA',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rFmJvuotJYE30q4nWEvpGJA',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rTU20DXn0Bi7bTwW5T6J3gg',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rWpQHQIQdntj6BEK8OIuWYw',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rab1GmqpzJkWd4MF0hieVgA',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rHrin819tHgZudARnpsN0Mg',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rLwpdKbW2OykBbvVxhYKrhA',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rElErbmOnSM6om03a1uinKQ',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rcQkob1yAm-to1scz51flgw',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=ri9SXMNc7TpebHucmAYepGQ',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rC5UskPU6PRVlmN7eXoridw',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rH6TEe8f_WNq_8x9pWZ3W0A',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rSkhGgUVN74knEhSAhBSSKA',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rVD6A2uAmeIE0BQNW1KSg3A',\n",
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       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tVY51lNaCL9m9xPqf29oFAA',\n",
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       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdFY5Z0QzTzRRbzJ1VXdqdGVyNE0tcFE',\n",
       "  'use': 'indicator'},\n",
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       "  'use': 'indicator'},\n",
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       "  'use': 'indicator'},\n",
       " 'total_health_spending_per_person_us': {'scales': ['log', 'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEeL79qOoKtofQ',\n",
       "  'use': 'indicator'},\n",
       " 'total_health_spending_percent_of_gdp': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj3XYThRy0yJMA',\n",
       "  'use': 'indicator'},\n",
       " 'total_number_of_dollar_billionaires': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tNWhbu-1UIPPxtmRHtnINOQ',\n",
       "  'use': 'indicator'},\n",
       " 'total_population_with_projections': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tL0jLxFBF9TbXIN_39b1qcQ',\n",
       "  'use': 'indicator'},\n",
       " 'total_reserves_percent_of_debt_to_foreigners': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdC1iMVRuVUFUd08tVDM0ZDF0cnFtekE',\n",
       "  'use': 'indicator'},\n",
       " 'total_sulfur_emission_kilotonnes': {'scales': ['log', 'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=t9SYWh7siLJDzyZYN1R4HfQ',\n",
       "  'use': 'indicator'},\n",
       " 'total_water_withdrawal_billion_cu_meters': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rIG3ZWxv381t2bIL2BNaIVw',\n",
       "  'use': 'indicator'},\n",
       " 'trade_balance_percent_of_gdp': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdFpGU185SkpmZ2V4ajNPZHFaaEwtU1E',\n",
       "  'use': 'indicator'},\n",
       " 'trade_balance_us_not_inflation_adjusted': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=0AkBd6lyS3EmpdEF6VzlKTzNCNjRnT0ZzMDg5a1d1Z3c',\n",
       "  'use': 'indicator'},\n",
       " 'traffic_deaths_men_per_100000_people': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tUaaG6Pu9zT_BVIsLvGLQdA',\n",
       "  'use': 'indicator'},\n",
       " 'traffic_deaths_per_100000_people': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tK87SOy-oZlfW99UDD7L3hw',\n",
       "  'use': 'indicator'},\n",
       " 'traffic_deaths_women_per_100000_people': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=t4pYrpNzP-JeR7zSjOyDofQ',\n",
       "  'use': 'indicator'},\n",
       " 'traffic_mortality_15_29_per_100000_people': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://spreadsheets.google.com/pub?key=0AgogXXPMARyldEVPSG5qYzBfS0llQ1RnTl9wWXZodkE',\n",
       "  'use': 'indicator'},\n",
       " 'traffic_mortality_30_44_per_100000_people': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://spreadsheets.google.com/pub?key=0AgogXXPMARyldGRqbENsQm5VMWFLdnRXV0w1S0tVSEE',\n",
       "  'use': 'indicator'},\n",
       " 'traffic_mortality_45_59_per_100000_people': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://spreadsheets.google.com/pub?key=0AgogXXPMARyldFJrcW9wdlJITlBDYU9IbnRKdVllVGc',\n",
       "  'use': 'indicator'},\n",
       " 'traffic_mortality_60plus_per_100000_people': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://spreadsheets.google.com/pub?key=0AgogXXPMARyldEw5RXhuckZuU1V2aVAzNDFZaDUxa2c',\n",
       "  'use': 'indicator'},\n",
       " 'traffic_mortality_children_0_14_per_100000_people': {'scales': ['linear',\n",
       "   'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=0AgogXXPMARyldHB2MkhmVDcyMG1Oa3Y5eEhRQ0VlUWc',\n",
       "  'use': 'indicator'},\n",
       " 'traffic_total_deaths': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tW9t1f9EQpvS4U04kWnk-og',\n",
       "  'use': 'indicator'},\n",
       " 'tsunami_affected_annual_number': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rskN46tpbe6Iy3K_ULk1_cQ',\n",
       "  'use': 'indicator'},\n",
       " 'tsunami_deaths_annual_number': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rdBew79hTeXcIXhB1VCTPfg',\n",
       "  'use': 'indicator'},\n",
       " 'under_five_mortality_from_cme_per_1000_born': {'scales': ['log', 'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=p8SIY47PNEw6pJRPAS1tXPQ',\n",
       "  'use': 'indicator'},\n",
       " 'under_five_mortality_from_ihme_per_1000_born': {'scales': ['log', 'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=p8SIY47PNEw4TgTkrmIVIXA',\n",
       "  'use': 'indicator'},\n",
       " 'underweight_children': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=0ArfEDsV3bBwCdDdTQUtvNEJhb0RjRjU0WUtET1R0Vnc',\n",
       "  'use': 'indicator'},\n",
       " 'urban_population': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEfH89V6UQhpZA',\n",
       "  'use': 'indicator'},\n",
       " 'urban_population_growth_annual_percent': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pyj6tScZqmEcRJEN8MyV3PQ',\n",
       "  'use': 'indicator'},\n",
       " 'urban_population_percent_of_total': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj0-LE4StzCsEw',\n",
       "  'use': 'indicator'},\n",
       " 'urban_poverty_percent_urban_people_below_national_urban': {'scales': ['linear',\n",
       "   'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tublssyj-uqIY25OoRupbCw',\n",
       "  'use': 'indicator'},\n",
       " 'water_and_sanitation_aid_given_percent_of_aid': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=tXn3DSfvsYujaBP9bvH6acg',\n",
       "  'use': 'indicator'},\n",
       " 'water_withdrawal_cu_meters_per_person': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rezAT4nYhKc2Loe6CxWSPWw',\n",
       "  'use': 'indicator'},\n",
       " 'wood_removal_cubic_meters': {'scales': ['log', 'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=pp59adS3CHWe8O-N9RgxzDw',\n",
       "  'use': 'indicator'},\n",
       " 'working_hours_per_week': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=rdCufG2vozTpKw7TBGbyoWw',\n",
       "  'use': 'indicator'},\n",
       " 'year_categorization_1820_2010': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj2t4ep52YXjSg',\n",
       "  'use': 'indicator'},\n",
       " 'year_categorization_1950': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj02SA7cGjnRbA',\n",
       "  'use': 'indicator'},\n",
       " 'yearly_co2_emissions_1000_tonnes': {'scales': ['linear', 'log'],\n",
       "  'sourceLink': 'https://docs.google.com/spreadsheet/pub?key=16USvgw1H-rXCK0ZMmDkyMPd1FXQNpjCj6HCMIn-fmFQ',\n",
       "  'use': 'indicator'},\n",
       " 'yearly_co2_emissions_tonnes': {'scales': ['log', 'linear'],\n",
       "  'sourceLink': 'http://spreadsheets.google.com/pub?key=phAwcNAVuyj1NHPC9MyZ9SQ',\n",
       "  'use': 'indicator'}}"
      ]
     },
     "execution_count": 332,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "indb['indicatorsDB']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 280,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "no data for newborn_mortality_rate_per_1000\n",
      "no data for newborn_deaths\n"
     ]
    }
   ],
   "source": [
    "for i in indb['indicatorsDB'].keys():\n",
    "    fname = os.path.join('./output/ddf/', 'ddf--datapoints--'+i+'--by--geo--time.csv')\n",
    "    try:\n",
    "        df = pd.read_csv(fname, dtype={i:float, 'time': int})\n",
    "    except OSError:\n",
    "        print('no data for', i)\n",
    "        continue\n",
    "        \n",
    "    dm = [float(df[i].min()), float(df[i].max())]\n",
    "    av = [int(df['time'].min()), int(df['time'].max())]\n",
    "\n",
    "    indb['indicatorsDB'][i].update({'domain': dm, 'availability': av})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 399,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from collections import OrderedDict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 482,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# indb tree\n",
    "indb['indicatorsTree'] = OrderedDict([['id', '_root'], ['children', []]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 483,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "ti = OrderedDict([['id', 'time']])\n",
    "pro = OrderedDict([['id', '_properties'], ['children', [{'id': 'geo'}, {'id': 'geo.name'}]]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 484,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "indb['indicatorsTree']['children'].append(ti)\n",
    "indb['indicatorsTree']['children'].append(pro)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 485,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for i in range(len(area)):\n",
    "    key = 'geo.'+to_concept_id(area[i]['n'])\n",
    "    indb['indicatorsTree']['children'][1]['children'].append({'id': key})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 449,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "c_all3 = concepts[['concept', 'menu_level1', 'menu_level_2']].sort_values(['menu_level1', 'menu_level_2'], na_position='first')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 450,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "c_all3 = c_all3.drop(k)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 451,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "c_all3['menu_level1'] = c_all3['menu_level1'].apply(to_concept_id).fillna('0')\n",
    "c_all3['menu_level_2'] = c_all3['menu_level_2'].apply(to_concept_id).fillna('1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 452,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'0': ['children_per_woman_total_fertility',\n",
       "  'co2_emissions_tonnes_per_person',\n",
       "  'income_per_person_gdppercapita_ppp_inflation_adjusted',\n",
       "  'child_mortality_0_5_year_olds_dying_per_1000_born',\n",
       "  'life_expectancy_years'],\n",
       " 'economy': ['aid_given_2007_us',\n",
       "  'aid_given_per_person_2007_us',\n",
       "  'aid_given_percent_of_gni',\n",
       "  'water_and_sanitation_aid_given_percent_of_aid',\n",
       "  'economical_infrastructure_aid_given_percent_of_aid',\n",
       "  'production_sector_aid_given_percent_of_aid',\n",
       "  'multisector_cross_cutting_aid_given_percent_of_aid',\n",
       "  'education_aid_given_percent_of_aid',\n",
       "  'health_aid_given_percent_of_aid',\n",
       "  'population_policies_aid_given_percent_of_aid',\n",
       "  'government_and_society_aid_given_percent_of_aid',\n",
       "  'other_social_services_aid_given_percent_of_aid',\n",
       "  'aid_received_total_us_inflation_adjusted',\n",
       "  'aid_received_per_person_current_us',\n",
       "  'aid_received_percent_of_gni',\n",
       "  'debt_to_foreigners_by_public_and_private_percent_of_gni',\n",
       "  'total_reserves_percent_of_debt_to_foreigners',\n",
       "  'exports_percent_of_gdp',\n",
       "  'imports_percent_of_gdp',\n",
       "  'arms_exports_us_inflation_adjusted',\n",
       "  'arms_imports_us_inflation_adjusted',\n",
       "  'high_technology_exports_percent_of_manufactured_exports',\n",
       "  'merchandise_trade_percent_of_gdp',\n",
       "  'trade_balance_us_not_inflation_adjusted',\n",
       "  'trade_balance_percent_of_gdp',\n",
       "  'inflation_annual_percent',\n",
       "  'central_bank_discount_rate_annual_percent',\n",
       "  'investments_percent_of_gdp',\n",
       "  'tax_revenue_percent_of_gdp',\n",
       "  'foreign_direct_investment_net_inflows_percent_of_gdp',\n",
       "  'foreign_direct_investment_net_outflows_percent_of_gdp',\n",
       "  'patent_applications_total',\n",
       "  'patents_granted_total',\n",
       "  'patents_in_force_total',\n",
       "  'hourly_compensation_us',\n",
       "  'working_hours_per_week',\n",
       "  'market_value_of_listed_companies_percent_of_gdp',\n",
       "  'total_gdp_us_inflation_adjusted',\n",
       "  'gdppercapita_us_inflation_adjusted',\n",
       "  'gdpperemployee_us_inflation_adjusted',\n",
       "  'gdpperworking_hour_us_inflation_adjusted',\n",
       "  'gdppercapita_growth_over_next_10_years',\n",
       "  'total_gni_ppp_current_international',\n",
       "  'gnipercapita_constant_2000_us',\n",
       "  'gnipercapita_atlasmethod_current_us',\n",
       "  'gnipercapita_ppp_current_international',\n",
       "  'total_gdp_ppp_inflation_adjusted',\n",
       "  'gdp_total_yearly_growth',\n",
       "  'gdp_per_capita_yearly_growth',\n",
       "  'dollar_billionaires_per_million_people',\n",
       "  'average_age_of_dollar_billionaires_years',\n",
       "  'total_number_of_dollar_billionaires',\n",
       "  'inequality_index_gini',\n",
       "  'income_share_of_richest_10percent',\n",
       "  'income_share_of_richest_20percent',\n",
       "  'income_share_of_2nd_richest_20percent',\n",
       "  'income_share_of_middle_20percent',\n",
       "  'income_share_of_2nd_poorest_20percent',\n",
       "  'income_share_of_poorest_20percent',\n",
       "  'income_share_of_poorest_10percent',\n",
       "  'poverty_percent_people_below_2_a_day',\n",
       "  'rural_poverty_percent_rural_people_below_national_rural',\n",
       "  'urban_poverty_percent_urban_people_below_national_urban',\n",
       "  'extreme_poverty_percent_people_below_125_a_day',\n",
       "  'number_of_people_in_poverty',\n",
       "  'agriculture_percent_of_gdp',\n",
       "  'industry_percent_of_gdp',\n",
       "  'services_percent_of_gdp'],\n",
       " 'education': ['math_achievement_4th_grade',\n",
       "  'math_achievement_8th_grade',\n",
       "  'ratio_of_girls_to_boys_in_primary_and_secondary_education_perc',\n",
       "  'ratio_of_young_literate_females_to_males_percent_ages_15_24',\n",
       "  'literacy_rate_adult_female_percent_of_females_ages_15_above',\n",
       "  'literacy_rate_adult_male_percent_of_males_ages_15_and_above',\n",
       "  'literacy_rate_adult_total_percent_of_people_ages_15_and_above',\n",
       "  'literacy_rate_youth_female_percent_of_females_ages_15_24',\n",
       "  'literacy_rate_youth_male_percent_of_males_ages_15_24',\n",
       "  'literacy_rate_youth_total_percent_of_people_ages_15_24',\n",
       "  'mean_years_in_school_women_25_years_and_older',\n",
       "  'mean_years_in_school_men_25_years_and_older',\n",
       "  'mean_years_in_school_women_25_to_34_years',\n",
       "  'mean_years_in_school_men_25_to_34_years',\n",
       "  'mean_years_in_school_women_of_reproductive_age_15_to_44',\n",
       "  'mean_years_in_school_women_percent_men_25_to_34_years',\n",
       "  'children_out_of_school_primary',\n",
       "  'children_out_of_school_primary_female',\n",
       "  'children_out_of_school_primary_male',\n",
       "  'primary_completion_rate_total_percent_of_relevant_age_group',\n",
       "  'primary_school_completion_percent_of_boys',\n",
       "  'primary_school_completion_percent_of_girls',\n",
       "  'expenditure_per_student_primary_percent_of_gdp_per_person',\n",
       "  'expenditure_per_student_secondary_percent_of_gdp_per_person',\n",
       "  'expenditure_per_student_tertiary_percent_of_gdp_per_person'],\n",
       " 'energy': ['pump_price_for_gasoline_us_per_liter',\n",
       "  'coal_consumption_total',\n",
       "  'coal_consumption_per_cap',\n",
       "  'electricity_use_per_person',\n",
       "  'electricity_use_total',\n",
       "  'residential_electricity_use_per_person',\n",
       "  'residential_electricity_use_total',\n",
       "  'electricity_generation_total',\n",
       "  'electricity_generation_per_person',\n",
       "  'hydro_power_generation_total',\n",
       "  'hydro_power_generation_per_person',\n",
       "  'natural_gas_production_total',\n",
       "  'natural_gas_production_per_person',\n",
       "  'natural_gas_proven_reserves_per_person',\n",
       "  'natural_gas_proved_reserves_total',\n",
       "  'nuclear_power_generation_total',\n",
       "  'nuclear_power_generation_per_person',\n",
       "  'oil_production_per_person',\n",
       "  'oil_production_total',\n",
       "  'oil_proven_reserves_per_person',\n",
       "  'oil_proved_reserves_total',\n",
       "  'oil_consumption_total',\n",
       "  'oil_consumption_per_cap',\n",
       "  'energy_use_total',\n",
       "  'energy_use_per_person',\n",
       "  'energy_production_total',\n",
       "  'energy_production_per_person'],\n",
       " 'environment': ['drought_deaths_annual_number',\n",
       "  'earthquake_deaths_annual_number',\n",
       "  'epidemic_deaths_annual_number',\n",
       "  'extreme_temperature_deaths_annual_number',\n",
       "  'flood_deaths_annual_number',\n",
       "  'storm_deaths_annual_number',\n",
       "  'tsunami_deaths_annual_number',\n",
       "  'plane_crash_deaths_annual_number',\n",
       "  'drought_affected_annual_number',\n",
       "  'earthquake_affected_annual_number',\n",
       "  'epidemic_affected_annual_number',\n",
       "  'extreme_temperature_affected_annual_number',\n",
       "  'flood_affected_annual_number',\n",
       "  'storm_affected_annual_number',\n",
       "  'tsunami_affected_annual_number',\n",
       "  'plane_crash_affected_annual_number',\n",
       "  'co2_intensity_of_economic_output_kg_co2_per_2005_ppp_of_gdp',\n",
       "  'cumulative_co2_emissions_tonnes',\n",
       "  'sulfur_emissions_per_person_kg',\n",
       "  'total_sulfur_emission_kilotonnes',\n",
       "  'yearly_co2_emissions_1000_tonnes',\n",
       "  'forest_land_total_area_ha',\n",
       "  'primary_forest_area_ha',\n",
       "  'planted_forest_area_ha',\n",
       "  'wood_removal_cubic_meters',\n",
       "  'forest_coverage_percent',\n",
       "  'biomass_stock_in_forest_tons',\n",
       "  'privately_owned_forest_land_percent',\n",
       "  'privately_owned_other_wooded_land_percent',\n",
       "  'forest_products_removal_total_dollar',\n",
       "  'forest_products_removal_per_ha_dollar',\n",
       "  'agricultural_land_percent_of_land_area',\n",
       "  'forest_area_sq_km',\n",
       "  'surface_area_sq_km',\n",
       "  'renewable_water_cu_meters_per_person',\n",
       "  'internal_renewable_water_cu_meters_per_person',\n",
       "  'water_withdrawal_cu_meters_per_person',\n",
       "  'municipal_water_withdrawal_cu_meters_per_person',\n",
       "  'agricultural_water_withdrawal_percent_of_total',\n",
       "  'industrial_water_withdrawal_percent_of_total',\n",
       "  'municipal_water_withdrawal_percent_of_total',\n",
       "  'desalinated_water_produced_billion_cu_meters',\n",
       "  'total_water_withdrawal_billion_cu_meters'],\n",
       " 'for_advanced_users': ['ifpri_underweight_children',\n",
       "  'debt_servicing_costs_percent_of_exports_and_net_income_from_abroad',\n",
       "  'external_debt_total_us_not_inflation_adjusted',\n",
       "  'present_value_of_debt_percent_of_gni',\n",
       "  'exports_unit_value_index_2000100',\n",
       "  'imports_unit_value_index_2000100',\n",
       "  'net_barter_terms_of_trade_2000_100',\n",
       "  'gdppercapita_growth_percent_per_year',\n",
       "  'old_version_of_income_per_person_version_3',\n",
       "  'old_version_of_income_per_person_version_8',\n",
       "  'alternative_gdppercapita_ppp_inflation_adjusted_from_pwt',\n",
       "  'subsistence_incomes_per_person',\n",
       "  'alternative_gdp_per_capita_ppp_wb',\n",
       "  'alternative_gdp_per_capita_ppp_pwt_7_1',\n",
       "  'alternative_gdp_per_capita_ppp_pwt_8_0',\n",
       "  'income_per_person_long_series',\n",
       "  'under_five_mortality_from_cme_per_1000_born',\n",
       "  'under_five_mortality_from_ihme_per_1000_born',\n",
       "  'child_mortality_0_5_year_olds_more_years_version_7',\n",
       "  'life_expectancy_at_birth_data_from_ihme',\n",
       "  'children_per_woman_temporary_update',\n",
       "  'energy_supply_per_person_toe',\n",
       "  'energy_from_solid_biofuels_percent',\n",
       "  'residential_energy_use_percent',\n",
       "  'maternal_mortality_ratio_who',\n",
       "  'yearly_co2_emissions_tonnes',\n",
       "  'alternative_poverty_percent_below_nationally_defined_poverty',\n",
       "  '20120905_extreme_poverty_percent_people_below_125_a_day',\n",
       "  'data_quality_income_per_person',\n",
       "  'data_quality_life_expectancy',\n",
       "  'data_quality_population',\n",
       "  'estimate_or_projection_of_under_five_mortality_rate_from_ihme',\n",
       "  'data_quality_children_per_woman',\n",
       "  'data_method_maternal_mortality',\n",
       "  'economic_growth_over_the_past_10_years',\n",
       "  'how_far_to_the_north',\n",
       "  'traffic_deaths_women_per_100000_people',\n",
       "  'traffic_deaths_men_per_100000_people',\n",
       "  'suicide_women_per_100000_people',\n",
       "  'suicide_men_per_100000_people',\n",
       "  'murdered_women_per_100000_people',\n",
       "  'murdered_men_per_100000_people',\n",
       "  'car_deaths_per_100000_people',\n",
       "  'motorcycle_deaths_per_100000_people',\n",
       "  'murdered_children_0_14_per_100000_people',\n",
       "  'murdered_15_29_per_100000_people',\n",
       "  'murdered_30_44_per_100000_people',\n",
       "  'murdered_45_59_per_100000_people',\n",
       "  'murdered_60plus_per_100000_people',\n",
       "  'suicide_age_0_14_per_100000_people',\n",
       "  'suicide_age_15_29_per_100000_people',\n",
       "  'suicide_age_30_44_per_100000_people',\n",
       "  'suicide_age_45_59_per_100000_people',\n",
       "  'suicide_age_60plus_per_100000_people',\n",
       "  'traffic_mortality_children_0_14_per_100000_people',\n",
       "  'traffic_mortality_15_29_per_100000_people',\n",
       "  'traffic_mortality_30_44_per_100000_people',\n",
       "  'traffic_mortality_45_59_per_100000_people',\n",
       "  'traffic_mortality_60plus_per_100000_people',\n",
       "  'income_per_person_with_projections',\n",
       "  'life_expectancy_at_birth_with_projections',\n",
       "  'children_per_woman_total_fertility_with_projections',\n",
       "  'total_population_with_projections',\n",
       "  'female_population_with_projections',\n",
       "  'male_population_with_projections',\n",
       "  'population_growth_annual_percent_with_projections',\n",
       "  'year_categorization_1820_2010',\n",
       "  'year_categorization_1950',\n",
       "  'dead_kids_per_woman',\n",
       "  'surviving_kids_per_woman'],\n",
       " 'health': ['underweight_children',\n",
       "  'number_of_child_deaths',\n",
       "  'life_expectancy_male',\n",
       "  'life_expectancy_female',\n",
       "  'breast_cancer_new_cases_per_100000_women',\n",
       "  'cervical_cancer_new_cases_per_100000_women',\n",
       "  'colonandrectum_cancer_new_cases_per_100000_women',\n",
       "  'liver_cancer_new_cases_per_100000_women',\n",
       "  'lung_cancer_new_cases_per_100000_women',\n",
       "  'stomach_cancer_new_cases_per_100000_women',\n",
       "  'breast_cancer_number_of_new_female_cases',\n",
       "  'cervical_cancer_number_of_new_female_cases',\n",
       "  'colonandrectum_cancer_number_of_new_female_cases',\n",
       "  'liver_cancer_number_of_new_female_cases',\n",
       "  'lung_cancer_number_of_new_female_cases',\n",
       "  'stomach_cancer_number_of_new_female_cases',\n",
       "  'breast_cancer_deaths_per_100000_women',\n",
       "  'cervical_cancer_deaths_per_100000_women',\n",
       "  'colonandrectum_cancer_deaths_per_100000_women',\n",
       "  'liver_cancer_deaths_per_100000_women',\n",
       "  'lung_cancer_deaths_per_100000_women',\n",
       "  'stomach_cancer_deaths_per_100000_women',\n",
       "  'breast_cancer_number_of_female_deaths',\n",
       "  'cervical_cancer_number_of_female_deaths',\n",
       "  'colonandrectum_cancer_number_of_female_deaths',\n",
       "  'liver_cancer_number_of_female_deaths',\n",
       "  'lung_cancer_number_of_female_deaths',\n",
       "  'stomach_cancer_number_of_female_deaths',\n",
       "  'colonandrectum_cancer_new_cases_per_100000_men',\n",
       "  'liver_cancer_new_cases_per_100000_men',\n",
       "  'lung_cancer_new_cases_per_100000_men',\n",
       "  'prostate_cancer_new_cases_per_100000_men',\n",
       "  'stomach_cancer_new_cases_per_100000_men',\n",
       "  'colonandrectum_cancer_number_of_new_male_cases',\n",
       "  'liver_cancer_number_of_new_male_cases',\n",
       "  'lung_cancer_number_of_new_male_cases',\n",
       "  'prostate_cancer_number_of_new_male_cases',\n",
       "  'stomach_cancer_number_of_new_male_cases',\n",
       "  'colonandrectum_cancer_deaths_per_100000_men',\n",
       "  'liver_cancer_deaths_per_100000_men',\n",
       "  'lung_cancer_deaths_per_100000_men',\n",
       "  'prostate_cancer_deaths_per_100000_men',\n",
       "  'stomach_cancer_deaths_per_100000_men',\n",
       "  'colonandrectum_cancer_number_of_male_deaths',\n",
       "  'liver_cancer_number_of_male_deaths',\n",
       "  'lung_cancer_number_of_male_deaths',\n",
       "  'prostate_cancer_number_of_male_deaths',\n",
       "  'stomach_cancer_number_of_male_deaths',\n",
       "  'all_causes_deaths_in_children_1_59_months_per_1000_births',\n",
       "  'diarrhoeal_deaths_in_children_1_59_months_per_1000_births',\n",
       "  'hiv_deaths_in_children_1_59_months_per_1000_births',\n",
       "  'injury_deaths_in_children_1_59_months_per_1000_births',\n",
       "  'malaria_deaths_in_children_1_59_months_per_1000_births',\n",
       "  'measles_deaths_in_children_1_59_months_per_1000_births',\n",
       "  'meningitis_deaths_in_children_1_59_months_per_1000_births',\n",
       "  'ncd_deaths_in_children_1_59_months_per_1000_births',\n",
       "  'pertussis_deaths_in_children_1_59_months_per_1000_births',\n",
       "  'pneumonia_deaths_in_children_1_59_months_per_1000_births',\n",
       "  'other_infections_deaths_in_children_1_59_months_per_1000_birt',\n",
       "  'all_causes_deaths_in_children_1_59_months_total_deaths',\n",
       "  'diarrhoeal_deaths_in_children_1_59_months_total_deaths',\n",
       "  'hiv_deaths_in_children_1_59_months_total_deaths',\n",
       "  'injury_deaths_in_children_1_59_months_total_deaths',\n",
       "  'malaria_deaths_in_children_1_59_months_total_deaths',\n",
       "  'measles_deaths_in_children_1_59_months_total_deaths',\n",
       "  'meningitis_deaths_in_children_1_59_months_total_deaths',\n",
       "  'ncd_deaths_in_children_1_59_months_total_deaths',\n",
       "  'pertussis_deaths_in_children_1_59_months_total_deaths',\n",
       "  'pneumonia_deaths_in_children_1_59_months_total_deaths',\n",
       "  'other_infections_deaths_in_children_1_59_months_total_deaths',\n",
       "  'all_causes_deaths_in_newborn_per_1000_births',\n",
       "  'birth_asphyxia_deaths_in_newborn_per_1000_births',\n",
       "  'congenital_deaths_in_newborn_per_1000_births',\n",
       "  'diarrhoeal_deaths_in_newborn_per_1000_births',\n",
       "  'pneumonia_deaths_in_newborn_per_1000_births',\n",
       "  'prematurity_deaths_in_newborn_per_1000_births',\n",
       "  'sepsis_deaths_in_newborn_per_1000_births',\n",
       "  'tetanus_deaths_in_newborn_per_1000_births',\n",
       "  'other_deaths_in_newborn_per_1000_births',\n",
       "  'all_causes_deaths_in_newborn_total_deaths',\n",
       "  'birth_asphyxia_deaths_in_newborn_total_deaths',\n",
       "  'congenital_deaths_in_newborn_total_deaths',\n",
       "  'diarrhoeal_deaths_in_newborn_total_deaths',\n",
       "  'pneumonia_deaths_in_newborn_total_deaths',\n",
       "  'prematurity_deaths_in_newborn_total_deaths',\n",
       "  'sepsis_deaths_in_newborn_total_deaths',\n",
       "  'tetanus_deaths_in_newborn_total_deaths',\n",
       "  'other_deaths_in_newborn_total_deaths',\n",
       "  'people_living_with_hiv_number_all_ages',\n",
       "  'adults_with_hiv_percent_age_15_49',\n",
       "  'newly_hiv_infected_number_all_ages',\n",
       "  'newly_hiv_infected_percent_age_15_49',\n",
       "  'annual_hiv_deaths_number_all_ages',\n",
       "  'art_coverage_percent_cd4_l_350',\n",
       "  'total_health_spending_percent_of_gdp',\n",
       "  'government_share_of_total_health_spending_percent',\n",
       "  'private_share_of_total_health_spending_percent',\n",
       "  'out_of_pocket_share_of_total_health_spending_percent',\n",
       "  'government_health_spending_of_total_gov_spending_percent',\n",
       "  'total_health_spending_per_person_international_dollar',\n",
       "  'government_health_spending_per_person_international_dollar',\n",
       "  'total_health_spending_per_person_us',\n",
       "  'government_health_spending_per_person_us',\n",
       "  'medical_doctors_per_1000_people',\n",
       "  'burns_deaths_per_100000_people',\n",
       "  'drownings_per_100000_people',\n",
       "  'falls_deaths_per_100000_people',\n",
       "  'poisonings_deaths_per_100000_people',\n",
       "  'malaria_cases_per_100000_reported',\n",
       "  'malaria_deaths_per_100000_reported',\n",
       "  'malaria_number_of_cases_reported',\n",
       "  'malaria_number_of_deaths_reported',\n",
       "  'births_attended_by_skilled_health_staff_percent_of_total',\n",
       "  'contraceptive_use_percent_of_women_ages_15_49',\n",
       "  'maternal_mortality_ratio_per_100000_live_births',\n",
       "  'maternal_deaths_total_number',\n",
       "  'maternal_deaths_lifetime_risk_per_1000',\n",
       "  'stillbirths_per_1000_births',\n",
       "  'suicide_per_100000_people',\n",
       "  'suicide_total_deaths',\n",
       "  'infant_mortality_rate_per_1000_births',\n",
       "  'newborn_mortality_rate_per_1000',\n",
       "  'newborn_deaths',\n",
       "  'malnutrition_weight_for_age_percent_of_children_under_5',\n",
       "  'sugar_per_person_g_per_day',\n",
       "  'food_supply_kilocalories_per_person_and_day',\n",
       "  'alcohol_consumption_per_adult_15plus_litres',\n",
       "  'smoking_adults_percent_of_population_over_age_15',\n",
       "  'smoking_women_percent_of_women_over_age_15',\n",
       "  'smoking_men_percent_of_men_over_age_15',\n",
       "  'body_mass_index_bmi_men_kgperm2',\n",
       "  'body_mass_index_bmi_women_kgperm2',\n",
       "  'blood_pressure_sbp_men_mmhg',\n",
       "  'blood_pressure_sbp_women_mmhg',\n",
       "  'cholesterol_fat_in_blood_men_mmolperl',\n",
       "  'cholesterol_fat_in_blood_women_mmolperl',\n",
       "  'infectious_tb_new_cases_per_100000_estimated',\n",
       "  'infectious_tb_new_cases_per_100000_reported',\n",
       "  'infectious_tb_number_of_new_cases_estimated',\n",
       "  'infectious_tb_number_of_new_cases_reported',\n",
       "  'infectious_tb_detection_rate_percent',\n",
       "  'infectious_tb_detection_rate_percent_dots_only',\n",
       "  'infectious_tb_treatment_dots_completed_percent',\n",
       "  'tb_programme_dots_population_coverage_percent',\n",
       "  'all_forms_of_tb_new_cases_per_100000_estimated',\n",
       "  'all_forms_of_tb_existing_cases_per_100000_estimated',\n",
       "  'all_forms_of_tb_deaths_per_100000_estimated',\n",
       "  'all_forms_of_tb_new_cases_per_100000_reported',\n",
       "  'all_forms_of_tb_number_of_new_cases_estimated',\n",
       "  'all_forms_of_tb_number_of_existing_cases_estimated',\n",
       "  'all_forms_of_tb_number_of_deaths_estimated',\n",
       "  'all_forms_of_tb_number_of_new_cases_reported',\n",
       "  'all_forms_of_tb_detection_rate_percent',\n",
       "  'all_forms_of_tb_detection_rate_percent_dots_only',\n",
       "  'tb_with_hivplus_new_cases_per_100000_estimated',\n",
       "  'tb_with_hivplus_existing_cases_per_100000_estimated',\n",
       "  'tb_with_hivplus_deaths_per_100000_estimated',\n",
       "  'tb_with_hivplus_number_of_new_cases_estimated',\n",
       "  'tb_with_hivplus_number_of_existing_cases_estimated',\n",
       "  'tb_with_hivplus_number_of_deaths_estimated',\n",
       "  'bad_teeth_per_child_12_yr',\n",
       "  'dtp3_immunized_percent_of_one_year_olds',\n",
       "  'hepb3_immunized_percent_of_one_year_olds',\n",
       "  'hib3_immunized_percent_of_one_year_olds',\n",
       "  'mcv_immunized_percent_of_one_year_olds',\n",
       "  'pab_immunized_percent_of_newborns'],\n",
       " 'infrastructure': ['broadband_subscribers',\n",
       "  'broadband_subscribers_per_100_people',\n",
       "  'cell_phones_total',\n",
       "  'cell_phones_per_100_people',\n",
       "  'fixed_line_and_mobile_phone_subscribers_per_100_people',\n",
       "  'internet_users_total_number',\n",
       "  'internet_users_per_100_people',\n",
       "  'personal_computers_total',\n",
       "  'personal_computers_per_100_people',\n",
       "  'improved_sanitation_overall_access_percent',\n",
       "  'improved_sanitation_urban_access_percent',\n",
       "  'improved_sanitation_rural_access_percent',\n",
       "  'roads_paved_percent_of_total_roads',\n",
       "  'traffic_deaths_per_100000_people',\n",
       "  'cars_trucks_and_buses_per_1000_persons',\n",
       "  'traffic_total_deaths',\n",
       "  'improved_water_source_overall_access_percent',\n",
       "  'improved_water_source_urban_access_percent',\n",
       "  'improved_water_source_rural_access_percent'],\n",
       " 'population': ['children_and_elderly_per_100_adults',\n",
       "  'median_age_years',\n",
       "  'population_density_per_square_km',\n",
       "  'population_total',\n",
       "  'age_at_1st_marriage_women',\n",
       "  'population_aged_0_4_years_both_sexes_percent',\n",
       "  'population_aged_5_9_years_both_sexes_percent',\n",
       "  'population_aged_10_14_years_both_sexes_percent',\n",
       "  'population_aged_15_19_years_both_sexes_percent',\n",
       "  'population_aged_20_39_years_both_sexes_percent',\n",
       "  'population_aged_40_59_years_both_sexes_percent',\n",
       "  'population_aged_60plus_years_both_sexes_percent',\n",
       "  'population_aged_0_4_years_total_number',\n",
       "  'population_aged_5_9_years_total_number',\n",
       "  'population_aged_10_14_years_total_number',\n",
       "  'population_aged_15_19_years_total_number',\n",
       "  'population_aged_20_39_years_total_number',\n",
       "  'population_aged_40_59_years_total_number',\n",
       "  'population_aged_60plus_years_total_number',\n",
       "  'population_aged_0_4_years_female_percent',\n",
       "  'population_aged_5_9_years_female_percent',\n",
       "  'population_aged_10_14_years_female_percent',\n",
       "  'population_aged_15_19_years_female_percent',\n",
       "  'population_aged_20_39_years_female_percent',\n",
       "  'population_aged_40_59_years_female_percent',\n",
       "  'population_aged_60plus_years_female_percent',\n",
       "  'population_aged_0_4_years_male_percent',\n",
       "  'population_aged_5_9_years_male_percent',\n",
       "  'population_aged_10_14_years_male_percent',\n",
       "  'population_aged_15_19_years_male_percent',\n",
       "  'population_aged_20_39_years_male_percent',\n",
       "  'population_aged_40_59_years_male_percent',\n",
       "  'population_aged_60plus_years_male_percent',\n",
       "  'population_growth_annual_percent',\n",
       "  'crude_birth_rate_births_per_1000_population',\n",
       "  'crude_death_rate_deaths_per_1000_population',\n",
       "  'teen_fertility_rate_births_per_1000_women_ages_15_19',\n",
       "  'new_births_total_number_estimated',\n",
       "  'sex_ratio_all_age_groups',\n",
       "  'sex_ratio_0_14_years',\n",
       "  'sex_ratio_15_24_years',\n",
       "  'sex_ratio_15_49_years',\n",
       "  'sex_ratio_above_50_years',\n",
       "  'population_in_urban_agglomerations_m_1_million_percent_of_total',\n",
       "  'urban_population',\n",
       "  'urban_population_percent_of_total',\n",
       "  'urban_population_growth_annual_percent'],\n",
       " 'society': ['murder_per_100000_people',\n",
       "  'corruption_perception_index_cpi',\n",
       "  'democracy_score_use_as_color',\n",
       "  'hdi_human_development_index',\n",
       "  'murder_total_deaths',\n",
       "  'military_expenditure_percent_of_gdp',\n",
       "  'battle_deaths_per_100_000',\n",
       "  'armed_forces_personnel_total',\n",
       "  'armed_forces_personnel_percent_of_labor_force'],\n",
       " 'work': ['agriculture_workers_percent_of_labour_force',\n",
       "  'industry_workers_percent_of_labour_force',\n",
       "  'service_workers_percent_of_labour_force',\n",
       "  'female_agriculture_workers_percent_of_female_labour_force',\n",
       "  'female_industry_workers_percent_of_female_labour_force',\n",
       "  'female_service_workers_percent_of_female_labour_force',\n",
       "  'male_agriculture_workers_percent_of_male_labour_force',\n",
       "  'male_industry_workers_percent_of_male_labour_force',\n",
       "  'male_service_workers_percent_of_male_labour_force',\n",
       "  'family_workers_percent_of_labour_force',\n",
       "  'salaried_workers_percent_of_labour_force',\n",
       "  'self_employed_percent_of_labour_force',\n",
       "  'female_family_workers_percent_of_female_labour_force',\n",
       "  'female_salaried_workers_percent_of_female_labour_force',\n",
       "  'female_self_employed_percent_of_female_labour_force',\n",
       "  'male_family_workers_percent_of_male_labour_force',\n",
       "  'male_salaried_workers_percent_of_male_labour_force',\n",
       "  'male_self_employed_percent_of_male_labour_force',\n",
       "  'aged_15_24_employment_rate_percent',\n",
       "  'aged_15plus_employment_rate_percent',\n",
       "  'females_aged_15_24_employment_rate_percent',\n",
       "  'females_aged_15plus_employment_rate_percent',\n",
       "  'males_aged_15_24_employment_rate_percent',\n",
       "  'males_aged_15plus_employment_rate_percent',\n",
       "  'aged_15_64_labour_force_participation_rate_percent',\n",
       "  'aged_25_54_labour_force_participation_rate_percent',\n",
       "  'aged_15plus_labour_force_participation_rate_percent',\n",
       "  'aged_65plus_labour_force_participation_rate_percent',\n",
       "  'females_aged_15_64_labour_force_participation_rate_percent',\n",
       "  'females_aged_25_54_labour_force_participation_rate_percent',\n",
       "  'females_aged_15plus_labour_force_participation_rate_percent',\n",
       "  'females_aged_65plus_labour_force_participation_rate_percent',\n",
       "  'males_aged_15_64_labour_force_participation_rate_percent',\n",
       "  'males_aged_25_54_labour_force_participation_rate_percent',\n",
       "  'males_aged_15plus_labour_force_participation_rate_percent',\n",
       "  'males_aged_65plus_labour_force_participation_rate_percent',\n",
       "  'aged_15_24_unemployment_rate_percent',\n",
       "  'aged_25_54_unemployment_rate_percent',\n",
       "  'aged_15plus_unemployment_rate_percent',\n",
       "  'aged_55plus_unemployment_rate_percent',\n",
       "  'long_term_unemployment_rate_percent',\n",
       "  'females_aged_15_24_unemployment_rate_percent',\n",
       "  'females_aged_25_54_unemployment_rate_percent',\n",
       "  'females_aged_15plus_unemployment_rate_percent',\n",
       "  'females_aged_55plus_unemployment_rate_percent',\n",
       "  'female_long_term_unemployment_rate_percent',\n",
       "  'males_aged_15_24_unemployment_rate_percent',\n",
       "  'males_aged_25_54_unemployment_rate_percent',\n",
       "  'males_aged_15plus_unemployment_rate_percent',\n",
       "  'males_aged_55plus_unemployment_rate_percent',\n",
       "  'male_long_term_unemployment_rate_percent']}"
      ]
     },
     "execution_count": 452,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c_all3.set_index('concept').groupby('menu_level1').groups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 460,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "c_all3 = c_all3.set_index('concept')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 481,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'1': ['ifpri_underweight_children'],\n",
       " 'advanced_debt_trade': ['debt_servicing_costs_percent_of_exports_and_net_income_from_abroad',\n",
       "  'external_debt_total_us_not_inflation_adjusted',\n",
       "  'present_value_of_debt_percent_of_gni',\n",
       "  'exports_unit_value_index_2000100',\n",
       "  'imports_unit_value_index_2000100',\n",
       "  'net_barter_terms_of_trade_2000_100'],\n",
       " 'alternative_child_mortality_data': ['under_five_mortality_from_cme_per_1000_born',\n",
       "  'under_five_mortality_from_ihme_per_1000_born',\n",
       "  'child_mortality_0_5_year_olds_more_years_version_7'],\n",
       " 'alternative_demography_indicators': ['life_expectancy_at_birth_data_from_ihme',\n",
       "  'children_per_woman_temporary_update'],\n",
       " 'alternative_energy': ['energy_supply_per_person_toe',\n",
       "  'energy_from_solid_biofuels_percent',\n",
       "  'residential_energy_use_percent'],\n",
       " 'alternative_gdp_data': ['gdppercapita_growth_percent_per_year',\n",
       "  'old_version_of_income_per_person_version_3',\n",
       "  'old_version_of_income_per_person_version_8',\n",
       "  'alternative_gdppercapita_ppp_inflation_adjusted_from_pwt',\n",
       "  'subsistence_incomes_per_person',\n",
       "  'alternative_gdp_per_capita_ppp_wb',\n",
       "  'alternative_gdp_per_capita_ppp_pwt_7_1',\n",
       "  'alternative_gdp_per_capita_ppp_pwt_8_0',\n",
       "  'income_per_person_long_series'],\n",
       " 'alternative_health_data': ['maternal_mortality_ratio_who'],\n",
       " 'alternative_other_data': ['yearly_co2_emissions_tonnes'],\n",
       " 'alternative_poverty_measures': ['alternative_poverty_percent_below_nationally_defined_poverty',\n",
       "  '20120905_extreme_poverty_percent_people_below_125_a_day'],\n",
       " 'data_quality_use_as_color': ['data_quality_income_per_person',\n",
       "  'data_quality_life_expectancy',\n",
       "  'data_quality_population',\n",
       "  'estimate_or_projection_of_under_five_mortality_rate_from_ihme',\n",
       "  'data_quality_children_per_woman',\n",
       "  'data_method_maternal_mortality'],\n",
       " 'economic_growth': ['economic_growth_over_the_past_10_years'],\n",
       " 'families': ['dead_kids_per_woman', 'surviving_kids_per_woman'],\n",
       " 'geography_and_infrastructure': ['how_far_to_the_north'],\n",
       " 'injury_deaths_by_gender_age_road_user': ['traffic_deaths_women_per_100000_people',\n",
       "  'traffic_deaths_men_per_100000_people',\n",
       "  'suicide_women_per_100000_people',\n",
       "  'suicide_men_per_100000_people',\n",
       "  'murdered_women_per_100000_people',\n",
       "  'murdered_men_per_100000_people',\n",
       "  'car_deaths_per_100000_people',\n",
       "  'motorcycle_deaths_per_100000_people',\n",
       "  'murdered_children_0_14_per_100000_people',\n",
       "  'murdered_15_29_per_100000_people',\n",
       "  'murdered_30_44_per_100000_people',\n",
       "  'murdered_45_59_per_100000_people',\n",
       "  'murdered_60plus_per_100000_people',\n",
       "  'suicide_age_0_14_per_100000_people',\n",
       "  'suicide_age_15_29_per_100000_people',\n",
       "  'suicide_age_30_44_per_100000_people',\n",
       "  'suicide_age_45_59_per_100000_people',\n",
       "  'suicide_age_60plus_per_100000_people',\n",
       "  'traffic_mortality_children_0_14_per_100000_people',\n",
       "  'traffic_mortality_15_29_per_100000_people',\n",
       "  'traffic_mortality_30_44_per_100000_people',\n",
       "  'traffic_mortality_45_59_per_100000_people',\n",
       "  'traffic_mortality_60plus_per_100000_people'],\n",
       " 'projections': ['income_per_person_with_projections',\n",
       "  'life_expectancy_at_birth_with_projections',\n",
       "  'children_per_woman_total_fertility_with_projections',\n",
       "  'total_population_with_projections',\n",
       "  'female_population_with_projections',\n",
       "  'male_population_with_projections',\n",
       "  'population_growth_annual_percent_with_projections'],\n",
       " 'years_use_as_color': ['year_categorization_1820_2010',\n",
       "  'year_categorization_1950']}"
      ]
     },
     "execution_count": 481,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c_all3.ix[c_all3.groupby('menu_level1').groups['for_advanced_users']].groupby('menu_level_2').groups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 468,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = c_all3.groupby('menu_level1').groups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 471,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['0',\n",
       " 'economy',\n",
       " 'education',\n",
       " 'energy',\n",
       " 'environment',\n",
       " 'for_advanced_users',\n",
       " 'health',\n",
       " 'infrastructure',\n",
       " 'population',\n",
       " 'society',\n",
       " 'work']"
      ]
     },
     "execution_count": 471,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(sorted(g.keys()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 486,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "g = c_all3.groupby('menu_level1').groups\n",
    "\n",
    "ks = list(sorted(g.keys()))\n",
    "\n",
    "if 'for_advanced_users' in ks:\n",
    "    ks.remove('for_advanced_users')\n",
    "    ks.append('for_advanced_users')    \n",
    "    \n",
    "for key in ks:\n",
    "    if key == '0':\n",
    "        for i in sorted(g[key]):\n",
    "            indb['indicatorsTree']['children'].append({'id': i})\n",
    "        continue\n",
    "    \n",
    "    od = OrderedDict([['id', key], ['children', []]])\n",
    "    indb['indicatorsTree']['children'].append(od)\n",
    "    \n",
    "    g2 = c_all3.ix[g[key]].groupby('menu_level_2').groups\n",
    "    for key2 in sorted(g2.keys()):\n",
    "        if key2 == '1':\n",
    "            for i in sorted(g2[key2]):\n",
    "                indb['indicatorsTree']['children'][-1]['children'].append({'id': i})\n",
    "        else:\n",
    "            od = OrderedDict([['id', key2], ['children', []]])\n",
    "            indb['indicatorsTree']['children'][-1]['children'].append(od)\n",
    "            for i in sorted(g2[key2]):\n",
    "                indb['indicatorsTree']['children'][-1]['children'][-1]['children'].append({'id': i})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "print(json.dumps(indb['indicatorsTree'], indent=1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 494,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "with open('./output/vizabi/metadata.json', 'w') as f:\n",
    "    json.dump(indb, f, indent=1)\n",
    "    f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 504,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# en.json\n",
    "\n",
    "enj = json.load(open('./source/en.json'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 505,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "''"
      ]
     },
     "execution_count": 505,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "enj['unit/']  #?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 506,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "trs = c_all[['concept', 'name', 'unit', 'description']].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 507,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "trs['key_1'] = 'indicator/'+trs['concept']\n",
    "trs['key_2'] = 'unit/'+trs['concept']\n",
    "trs['key_3'] = 'description/'+trs['concept']\n",
    "\n",
    "trs1 = trs.drop('concept', axis=1).set_index('key_1')\n",
    "trs2 = trs.drop('concept', axis=1).set_index('key_2')\n",
    "trs3 = trs.drop('concept', axis=1).set_index('key_3')\n",
    "\n",
    "enj.update(trs1['name'].dropna().to_dict())\n",
    "enj.update(trs2['unit'].dropna().to_dict())\n",
    "enj.update(trs3['description'].dropna().to_dict())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 513,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "c_all4 = concepts[['concept', 'menu_level1', 'menu_level_2']]\n",
    "\n",
    "l1 = c_all4['menu_level1'].unique()\n",
    "l2 = c_all4['menu_level_2'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 516,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for i in l1:\n",
    "    if i is not np.nan:\n",
    "        key = to_concept_id(i)\n",
    "        enj['indicator/'+key] = i\n",
    "    \n",
    "for i in l2:\n",
    "    if i is not np.nan:\n",
    "        key = to_concept_id(i)\n",
    "        enj['indicator/'+key] = i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 517,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Aid given'"
      ]
     },
     "execution_count": 517,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "enj['indicator/aid_given']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 519,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "c5 = c_all[c_all['concept_type'] == 'entity_set'].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 521,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "c5.loc[37, 'name'] = 'World Regions'  # TODO read from file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 530,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for i, v in c5.iterrows():\n",
    "    enj['indicator/'+v['concept']] = v['name']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 531,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "with open('./output/vizabi/en.json', 'w') as f:\n",
    "    json.dump(enj, f, indent=1, sort_keys=True)\n",
    "    f.close()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "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": "3.5.1"
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 },
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