United Nations data.world uploads.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import requests\n",
    "from lxml import html\n",
    "import json\n",
    "import urllib\n",
    "import xlrd\n",
    "import boto\n",
    "from boto.s3.key import Key\n",
    "import csv\n",
    "import datadotworld as dw\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "\n",
    "host = \"https://esa.un.org\"\n",
    "\n",
    "base_url = host + \"/unpd/wpp/Download\"\n",
    "\n",
    "sub_urls_to_crawl = '''\n",
    "/SpecialAggregates/Ecological/\n",
    "/Standard/Mortality/\n",
    "/Standard/Errata/\n",
    "/Standard/ASCII/\n",
    "/SpecialAggregates/Political/\n",
    "/Standard/Interpolated/\n",
    "/Probabilistic/Population/\n",
    "/Standard/Fertility/\n",
    "/Other/MLT/\n",
    "/Standard/Migration/\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def extract_sheets(filepath):\n",
    "    xl_workbook = xlrd.open_workbook(filepath)\n",
    "    out_data = {}\n",
    "    for sheet in xl_workbook.sheet_names():\n",
    "        in_context = False\n",
    "        out_data[sheet] = []\n",
    "        xl_sheet = xl_workbook.sheet_by_name(sheet)\n",
    "        num_cols = xl_sheet.ncols   # Number of columns\n",
    "        for row_idx in range(0, xl_sheet.nrows):\n",
    "            row = []\n",
    "            for col_idx in range(0, num_cols):  # Iterate through columns\n",
    "                cell_obj = xl_sheet.cell(row_idx, col_idx)  # Get cell object by row, col \n",
    "                if cell_obj.value == 'Index':\n",
    "                    in_context = True\n",
    "                    \n",
    "                if in_context:\n",
    "                    row.append(cell_obj.value)\n",
    "            if in_context:\n",
    "                out_data[sheet].append(row)\n",
    "                \n",
    "    # remove empty\n",
    "    empty = []\n",
    "    for key, rows in out_data.items():\n",
    "        if len(rows) == 0:\n",
    "            empty.append(key)\n",
    "    for e in empty:\n",
    "        del out_data[e]\n",
    "    return out_data\n",
    "\n",
    "#out_data = extract_sheets(\"test_data.XLS\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://brianray.s3.amazonaws.com:443/test_dataXLS_SOMETEST.csv'"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def save_to_s3(orginal_file_name, key, rows):\n",
    "    \n",
    "    new_file_name = '{}_{}.csv'.format(orginal_file_name.replace(\".\", \"\"), key) \n",
    "    with open(new_file_name, 'w') as csvfile:\n",
    "        spamwriter = csv.writer(csvfile)\n",
    "        spamwriter.writerows(rows)\n",
    "        \n",
    "    s3 = boto.connect_s3()\n",
    "    b = s3.get_bucket('brianray')\n",
    "    k = Key(b)\n",
    "    k.key = new_file_name\n",
    "    k.set_contents_from_filename(new_file_name)\n",
    "    k.set_acl('public-read')\n",
    "    return k.generate_url(expires_in=0, query_auth=False)\n",
    "    \n",
    "#url = save_to_s3(\"test_data.XLS\", \"SOMETEST\", [[\"test\", \"count\"], [\"a\", 3], [\"b\", 4]])\n",
    "#url\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def run_extraction(filepath):\n",
    "    data_dict = extract_sheets(filepath)\n",
    "    out_urls = {}\n",
    "    for k, v in data_dict.items():\n",
    "        out_url = save_to_s3(filepath, k, v)\n",
    "        out_urls[out_url.split(\"/\")[-1]] =  out_url\n",
    "    return out_urls\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "\n",
    "def save(url):\n",
    "    r = requests.get(url)\n",
    "    file_name = url.split(\"/\")[-1:][0]\n",
    "    print(r.status_code)\n",
    "    with open(file_name, 'wb') as f:\n",
    "        f.write(r.content)\n",
    "        \n",
    "    return run_extraction(file_name)\n",
    "\n",
    "#url = \"https://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/1_Population/WPP2015_POP_F01_1_TOTAL_POPULATION_BOTH_SEXES.XLS\"\n",
    "#urls = save(url)\n",
    "#urls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "client = dw.api_client()\n",
    "\n",
    "def save_to_dataworld(title, description, tags, link, orig_path):\n",
    "    data_args = dict(owner_id=\"brianray\",\n",
    "                     title=title[:30],\n",
    "                     description=description[:120],\n",
    "                     summary=\"created from: {}\\n\\n\\n### {}\\n\\n{}\\n\\n### from\\n\\n{}\".format(\"https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\",\n",
    "                                                                         title,\n",
    "                                                                         description,\n",
    "                                                                         orig_path),\n",
    "                     tags=[x.lower() for x in tags],\n",
    "                     license='Other',\n",
    "                     visibility=\"OPEN\", # \"Private\"\n",
    "                     files=link)\n",
    "    print(data_args)\n",
    "    try:\n",
    "        client.create_dataset(**data_args)\n",
    "    except Exception as e:\n",
    "        print(e)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "\n",
    "def main():\n",
    "    for sub in sub_urls_to_crawl.strip().split(\"\\n\"):\n",
    "        url = \"{}{}\".format(base_url, sub)\n",
    "        print(url)\n",
    "        r = requests.get(url)\n",
    "        print(r.status_code)\n",
    "        tree = html.fromstring(r.content)\n",
    "        json_str = tree.xpath(\"//script\")[2].text.split(\"filesArray = \")[1].split(\"}];\")[0] + \"}]\"\n",
    "        for file_group_dict in json.loads(json_str):\n",
    "            tags = [\"un\", \"UnitedNations\"]\n",
    "            tags += file_group_dict['MajorGroup'].split()\n",
    "            tags.append(file_group_dict['MajorGroup'].replace(\" \", \"\"))\n",
    "            path = \"{}{}\".format(host, urllib.parse.quote(file_group_dict['File1_Path']))\n",
    "            file_paths = save(path)\n",
    "            save_to_dataworld(\"UN: {}\".format(file_group_dict['File1_Title']),\n",
    "                              file_group_dict['Description'],\n",
    "                              tags,\n",
    "                              file_paths,\n",
    "                              path)\n",
    "                              \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "https://esa.un.org/unpd/wpp/Download/SpecialAggregates/Ecological/\n",
      "200\n",
      "200\n",
      "{'title': 'UN: Total Population - Both Se', 'license': 'Other', 'description': 'Total Population - Both Sexes. De facto population in a country, area or region as of 1 July of the year indicated. Figu', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'population', 'indicators', 'populationindicators'], 'files': {'WPP2015_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv', 'WPP2015_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESXLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESXLS_ZERO-MIGRATION.csv', 'WPP2015_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESXLS_ESTIMATES.csv', 'WPP2015_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESXLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESXLS_HIGH%20VARIANT.csv', 'WPP2015_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESXLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESXLS_LOW%20VARIANT.csv', 'WPP2015_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESXLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESXLS_CONSTANT-FERTILITY.csv', 'WPP2015_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESXLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESXLS_NO%20CHANGE.csv', 'WPP2015_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESXLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESXLS_CONSTANT-MORTALITY.csv', 'WPP2015_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESXLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESXLS_INSTANT-REPLACEMENT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Total Population - Both Sexes (XLS, 3.74 MB)\\n\\nTotal Population - Both Sexes. De facto population in a country, area or region as of 1 July of the year indicated. Figures are presented in thousands.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/1_Population/WPP2015_POP_F01_1_TOTAL_POPULATION_BOTH_SEXES.XLS'}\n",
      "200\n",
      "{'title': 'UN: Total Population - Male (X', 'license': 'Other', 'description': 'Total Population - Male. De facto population in a country, area or region as of 1 July of the year indicated. Figures ar', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'population', 'indicators', 'populationindicators'], 'files': {'WPP2015_POP_F01_2_TOTAL_POPULATION_MALEXLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_2_TOTAL_POPULATION_MALEXLS_HIGH%20VARIANT.csv', 'WPP2015_POP_F01_2_TOTAL_POPULATION_MALEXLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_2_TOTAL_POPULATION_MALEXLS_CONSTANT-MORTALITY.csv', 'WPP2015_POP_F01_2_TOTAL_POPULATION_MALEXLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_2_TOTAL_POPULATION_MALEXLS_CONSTANT-FERTILITY.csv', 'WPP2015_POP_F01_2_TOTAL_POPULATION_MALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_2_TOTAL_POPULATION_MALEXLS_ESTIMATES.csv', 'WPP2015_POP_F01_2_TOTAL_POPULATION_MALEXLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_2_TOTAL_POPULATION_MALEXLS_NO%20CHANGE.csv', 'WPP2015_POP_F01_2_TOTAL_POPULATION_MALEXLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_2_TOTAL_POPULATION_MALEXLS_ZERO-MIGRATION.csv', 'WPP2015_POP_F01_2_TOTAL_POPULATION_MALEXLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_2_TOTAL_POPULATION_MALEXLS_INSTANT-REPLACEMENT.csv', 'WPP2015_POP_F01_2_TOTAL_POPULATION_MALEXLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_2_TOTAL_POPULATION_MALEXLS_LOW%20VARIANT.csv', 'WPP2015_POP_F01_2_TOTAL_POPULATION_MALEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_2_TOTAL_POPULATION_MALEXLS_MEDIUM%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Total Population - Male (XLS, 3.31 MB)\\n\\nTotal Population - Male. De facto population in a country, area or region as of 1 July of the year indicated. Figures are presented in thousands.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/1_Population/WPP2015_POP_F01_2_TOTAL_POPULATION_MALE.XLS'}\n",
      "200\n",
      "{'title': 'UN: Total Population - Female ', 'license': 'Other', 'description': 'Total Population - Female. De facto population in a country, area or region as of 1 July of the year indicated. Figures ', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'population', 'indicators', 'populationindicators'], 'files': {'WPP2015_POP_F01_3_TOTAL_POPULATION_FEMALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_3_TOTAL_POPULATION_FEMALEXLS_ESTIMATES.csv', 'WPP2015_POP_F01_3_TOTAL_POPULATION_FEMALEXLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_3_TOTAL_POPULATION_FEMALEXLS_INSTANT-REPLACEMENT.csv', 'WPP2015_POP_F01_3_TOTAL_POPULATION_FEMALEXLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_3_TOTAL_POPULATION_FEMALEXLS_CONSTANT-FERTILITY.csv', 'WPP2015_POP_F01_3_TOTAL_POPULATION_FEMALEXLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_3_TOTAL_POPULATION_FEMALEXLS_NO%20CHANGE.csv', 'WPP2015_POP_F01_3_TOTAL_POPULATION_FEMALEXLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_3_TOTAL_POPULATION_FEMALEXLS_ZERO-MIGRATION.csv', 'WPP2015_POP_F01_3_TOTAL_POPULATION_FEMALEXLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_3_TOTAL_POPULATION_FEMALEXLS_LOW%20VARIANT.csv', 'WPP2015_POP_F01_3_TOTAL_POPULATION_FEMALEXLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_3_TOTAL_POPULATION_FEMALEXLS_CONSTANT-MORTALITY.csv', 'WPP2015_POP_F01_3_TOTAL_POPULATION_FEMALEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_3_TOTAL_POPULATION_FEMALEXLS_MEDIUM%20VARIANT.csv', 'WPP2015_POP_F01_3_TOTAL_POPULATION_FEMALEXLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F01_3_TOTAL_POPULATION_FEMALEXLS_HIGH%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Total Population - Female (XLS, 3.31 MB)\\n\\nTotal Population - Female. De facto population in a country, area or region as of 1 July of the year indicated. Figures are presented in thousands.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/1_Population/WPP2015_POP_F01_3_TOTAL_POPULATION_FEMALE.XLS'}\n",
      "200\n",
      "{'title': 'UN: Population Growth Rate (XL', 'license': 'Other', 'description': 'Average exponential rate of growth of the population over a given period.Â\\xa0 It is calculated as ln(Pt/P0)/t where t is t', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'population', 'indicators', 'populationindicators'], 'files': {'WPP2015_POP_F02_POPULATION_GROWTH_RATEXLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F02_POPULATION_GROWTH_RATEXLS_CONSTANT-FERTILITY.csv', 'WPP2015_POP_F02_POPULATION_GROWTH_RATEXLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F02_POPULATION_GROWTH_RATEXLS_INSTANT-REPLACEMENT.csv', 'WPP2015_POP_F02_POPULATION_GROWTH_RATEXLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F02_POPULATION_GROWTH_RATEXLS_ZERO-MIGRATION.csv', 'WPP2015_POP_F02_POPULATION_GROWTH_RATEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F02_POPULATION_GROWTH_RATEXLS_ESTIMATES.csv', 'WPP2015_POP_F02_POPULATION_GROWTH_RATEXLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F02_POPULATION_GROWTH_RATEXLS_NO%20CHANGE.csv', 'WPP2015_POP_F02_POPULATION_GROWTH_RATEXLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F02_POPULATION_GROWTH_RATEXLS_HIGH%20VARIANT.csv', 'WPP2015_POP_F02_POPULATION_GROWTH_RATEXLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F02_POPULATION_GROWTH_RATEXLS_CONSTANT-MORTALITY.csv', 'WPP2015_POP_F02_POPULATION_GROWTH_RATEXLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F02_POPULATION_GROWTH_RATEXLS_LOW%20VARIANT.csv', 'WPP2015_POP_F02_POPULATION_GROWTH_RATEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F02_POPULATION_GROWTH_RATEXLS_MEDIUM%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Population Growth Rate (XLS, 954 KB)\\n\\nAverage exponential rate of growth of the population over a given period.Â\\xa0 It is calculated as ln(Pt/P0)/t where t is the length of the period. It is expressed as a percentage.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/1_Population/WPP2015_POP_F02_POPULATION_GROWTH_RATE.XLS'}\n",
      "200\n",
      "{'title': 'UN: Rate of Natural Population', 'license': 'Other', 'description': 'Crude birth rate minus the crude death rate. Represents the portion of population growth (or decline) determined exclusi', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'population', 'indicators', 'populationindicators'], 'files': {'WPP2015_POP_F03_RATE_OF_NATURAL_INCREASEXLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F03_RATE_OF_NATURAL_INCREASEXLS_LOW%20VARIANT.csv', 'WPP2015_POP_F03_RATE_OF_NATURAL_INCREASEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F03_RATE_OF_NATURAL_INCREASEXLS_MEDIUM%20VARIANT.csv', 'WPP2015_POP_F03_RATE_OF_NATURAL_INCREASEXLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F03_RATE_OF_NATURAL_INCREASEXLS_CONSTANT-MORTALITY.csv', 'WPP2015_POP_F03_RATE_OF_NATURAL_INCREASEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F03_RATE_OF_NATURAL_INCREASEXLS_ESTIMATES.csv', 'WPP2015_POP_F03_RATE_OF_NATURAL_INCREASEXLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F03_RATE_OF_NATURAL_INCREASEXLS_INSTANT-REPLACEMENT.csv', 'WPP2015_POP_F03_RATE_OF_NATURAL_INCREASEXLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F03_RATE_OF_NATURAL_INCREASEXLS_CONSTANT-FERTILITY.csv', 'WPP2015_POP_F03_RATE_OF_NATURAL_INCREASEXLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F03_RATE_OF_NATURAL_INCREASEXLS_ZERO-MIGRATION.csv', 'WPP2015_POP_F03_RATE_OF_NATURAL_INCREASEXLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F03_RATE_OF_NATURAL_INCREASEXLS_NO%20CHANGE.csv', 'WPP2015_POP_F03_RATE_OF_NATURAL_INCREASEXLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F03_RATE_OF_NATURAL_INCREASEXLS_HIGH%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Rate of Natural Population Increase (XLS, 852 KB)\\n\\nCrude birth rate minus the crude death rate. Represents the portion of population growth (or decline) determined exclusively by births and deaths. It is expressed per 1,000 population annually.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/1_Population/WPP2015_POP_F03_RATE_OF_NATURAL_INCREASE.XLS'}\n",
      "200\n",
      "{'title': 'UN: Sex Ratio of Total Populat', 'license': 'Other', 'description': 'Number of males per 100 females in the population.', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'population', 'indicators', 'populationindicators'], 'files': {'WPP2015_POP_F04_SEX_RATIO_OF_TOTAL_POPULATIONXLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F04_SEX_RATIO_OF_TOTAL_POPULATIONXLS_INSTANT-REPLACEMENT.csv', 'WPP2015_POP_F04_SEX_RATIO_OF_TOTAL_POPULATIONXLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F04_SEX_RATIO_OF_TOTAL_POPULATIONXLS_HIGH%20VARIANT.csv', 'WPP2015_POP_F04_SEX_RATIO_OF_TOTAL_POPULATIONXLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F04_SEX_RATIO_OF_TOTAL_POPULATIONXLS_ZERO-MIGRATION.csv', 'WPP2015_POP_F04_SEX_RATIO_OF_TOTAL_POPULATIONXLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F04_SEX_RATIO_OF_TOTAL_POPULATIONXLS_NO%20CHANGE.csv', 'WPP2015_POP_F04_SEX_RATIO_OF_TOTAL_POPULATIONXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F04_SEX_RATIO_OF_TOTAL_POPULATIONXLS_MEDIUM%20VARIANT.csv', 'WPP2015_POP_F04_SEX_RATIO_OF_TOTAL_POPULATIONXLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F04_SEX_RATIO_OF_TOTAL_POPULATIONXLS_CONSTANT-FERTILITY.csv', 'WPP2015_POP_F04_SEX_RATIO_OF_TOTAL_POPULATIONXLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F04_SEX_RATIO_OF_TOTAL_POPULATIONXLS_LOW%20VARIANT.csv', 'WPP2015_POP_F04_SEX_RATIO_OF_TOTAL_POPULATIONXLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F04_SEX_RATIO_OF_TOTAL_POPULATIONXLS_CONSTANT-MORTALITY.csv', 'WPP2015_POP_F04_SEX_RATIO_OF_TOTAL_POPULATIONXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F04_SEX_RATIO_OF_TOTAL_POPULATIONXLS_ESTIMATES.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Sex Ratio of Total Population (XLS, 924 KB)\\n\\nNumber of males per 100 females in the population.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/1_Population/WPP2015_POP_F04_SEX_RATIO_OF_TOTAL_POPULATION.XLS'}\n",
      "200\n",
      "{'title': 'UN: Median Age of Population (', 'license': 'Other', 'description': 'Age that divides the population in two parts of equal size, that is, there are as many persons with ages above the media', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'population', 'indicators', 'populationindicators'], 'files': {'WPP2015_POP_F05_MEDIAN_AGEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F05_MEDIAN_AGEXLS_ESTIMATES.csv', 'WPP2015_POP_F05_MEDIAN_AGEXLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F05_MEDIAN_AGEXLS_HIGH%20VARIANT.csv', 'WPP2015_POP_F05_MEDIAN_AGEXLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F05_MEDIAN_AGEXLS_CONSTANT-MORTALITY.csv', 'WPP2015_POP_F05_MEDIAN_AGEXLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F05_MEDIAN_AGEXLS_CONSTANT-FERTILITY.csv', 'WPP2015_POP_F05_MEDIAN_AGEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F05_MEDIAN_AGEXLS_MEDIUM%20VARIANT.csv', 'WPP2015_POP_F05_MEDIAN_AGEXLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F05_MEDIAN_AGEXLS_LOW%20VARIANT.csv', 'WPP2015_POP_F05_MEDIAN_AGEXLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F05_MEDIAN_AGEXLS_NO%20CHANGE.csv', 'WPP2015_POP_F05_MEDIAN_AGEXLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F05_MEDIAN_AGEXLS_ZERO-MIGRATION.csv', 'WPP2015_POP_F05_MEDIAN_AGEXLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F05_MEDIAN_AGEXLS_INSTANT-REPLACEMENT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Median Age of Population (XLS, 923 KB)\\n\\nAge that divides the population in two parts of equal size, that is, there are as many persons with ages above the median as there are with ages below the median. It is expressed as years.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/1_Population/WPP2015_POP_F05_MEDIAN_AGE.XLS'}\n",
      "200\n",
      "{'title': 'UN: Population Density (XLS, 3', 'license': 'Other', 'description': 'Population per square Kilometre.', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'population', 'indicators', 'populationindicators'], 'files': {'WPP2015_POP_F06_POPULATION_DENSITYXLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F06_POPULATION_DENSITYXLS_INSTANT-REPLACEMENT.csv', 'WPP2015_POP_F06_POPULATION_DENSITYXLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F06_POPULATION_DENSITYXLS_HIGH%20VARIANT.csv', 'WPP2015_POP_F06_POPULATION_DENSITYXLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F06_POPULATION_DENSITYXLS_CONSTANT-FERTILITY.csv', 'WPP2015_POP_F06_POPULATION_DENSITYXLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F06_POPULATION_DENSITYXLS_LOW%20VARIANT.csv', 'WPP2015_POP_F06_POPULATION_DENSITYXLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F06_POPULATION_DENSITYXLS_ZERO-MIGRATION.csv', 'WPP2015_POP_F06_POPULATION_DENSITYXLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F06_POPULATION_DENSITYXLS_CONSTANT-MORTALITY.csv', 'WPP2015_POP_F06_POPULATION_DENSITYXLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F06_POPULATION_DENSITYXLS_NO%20CHANGE.csv', 'WPP2015_POP_F06_POPULATION_DENSITYXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F06_POPULATION_DENSITYXLS_ESTIMATES.csv', 'WPP2015_POP_F06_POPULATION_DENSITYXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F06_POPULATION_DENSITYXLS_MEDIUM%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Population Density (XLS, 3.79 MB)\\n\\nPopulation per square Kilometre.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/1_Population/WPP2015_POP_F06_POPULATION_DENSITY.XLS'}\n",
      "200\n",
      "{'title': 'UN: Population by Age Groups -', 'license': 'Other', 'description': 'Quinquennial Population by Five-Year Age Groups - Both Sexes. De facto population as of 1 July of the year indicated cla', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'population', 'indicators', 'populationindicators'], 'files': {'WPP2015_POP_F07_1_POPULATION_BY_AGE_BOTH_SEXESXLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F07_1_POPULATION_BY_AGE_BOTH_SEXESXLS_NO%20CHANGE.csv', 'WPP2015_POP_F07_1_POPULATION_BY_AGE_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F07_1_POPULATION_BY_AGE_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv', 'WPP2015_POP_F07_1_POPULATION_BY_AGE_BOTH_SEXESXLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F07_1_POPULATION_BY_AGE_BOTH_SEXESXLS_CONSTANT-MORTALITY.csv', 'WPP2015_POP_F07_1_POPULATION_BY_AGE_BOTH_SEXESXLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F07_1_POPULATION_BY_AGE_BOTH_SEXESXLS_ZERO-MIGRATION.csv', 'WPP2015_POP_F07_1_POPULATION_BY_AGE_BOTH_SEXESXLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F07_1_POPULATION_BY_AGE_BOTH_SEXESXLS_CONSTANT-FERTILITY.csv', 'WPP2015_POP_F07_1_POPULATION_BY_AGE_BOTH_SEXESXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F07_1_POPULATION_BY_AGE_BOTH_SEXESXLS_ESTIMATES.csv', 'WPP2015_POP_F07_1_POPULATION_BY_AGE_BOTH_SEXESXLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F07_1_POPULATION_BY_AGE_BOTH_SEXESXLS_INSTANT-REPLACEMENT.csv', 'WPP2015_POP_F07_1_POPULATION_BY_AGE_BOTH_SEXESXLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F07_1_POPULATION_BY_AGE_BOTH_SEXESXLS_LOW%20VARIANT.csv', 'WPP2015_POP_F07_1_POPULATION_BY_AGE_BOTH_SEXESXLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F07_1_POPULATION_BY_AGE_BOTH_SEXESXLS_HIGH%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Population by Age Groups - Both Sexes (XLS, 16.79 MB)\\n\\nQuinquennial Population by Five-Year Age Groups - Both Sexes. De facto population as of 1 July of the year indicated classified by five-year age groups (0-4, 5-9, 10-14, ..., 95-99, 100+). Data are presented in thousands.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/1_Population/WPP2015_POP_F07_1_POPULATION_BY_AGE_BOTH_SEXES.XLS'}\n",
      "200\n",
      "{'title': 'UN: Population by Age Groups -', 'license': 'Other', 'description': 'Quinquennial Population by Five-Year Age Groups - Male. De facto population as of 1 July of the year indicated classifie', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'population', 'indicators', 'populationindicators'], 'files': {'WPP2015_POP_F07_2_POPULATION_BY_AGE_MALEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F07_2_POPULATION_BY_AGE_MALEXLS_MEDIUM%20VARIANT.csv', 'WPP2015_POP_F07_2_POPULATION_BY_AGE_MALEXLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F07_2_POPULATION_BY_AGE_MALEXLS_LOW%20VARIANT.csv', 'WPP2015_POP_F07_2_POPULATION_BY_AGE_MALEXLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F07_2_POPULATION_BY_AGE_MALEXLS_ZERO-MIGRATION.csv', 'WPP2015_POP_F07_2_POPULATION_BY_AGE_MALEXLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F07_2_POPULATION_BY_AGE_MALEXLS_INSTANT-REPLACEMENT.csv', 'WPP2015_POP_F07_2_POPULATION_BY_AGE_MALEXLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F07_2_POPULATION_BY_AGE_MALEXLS_NO%20CHANGE.csv', 'WPP2015_POP_F07_2_POPULATION_BY_AGE_MALEXLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F07_2_POPULATION_BY_AGE_MALEXLS_CONSTANT-FERTILITY.csv', 'WPP2015_POP_F07_2_POPULATION_BY_AGE_MALEXLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F07_2_POPULATION_BY_AGE_MALEXLS_CONSTANT-MORTALITY.csv', 'WPP2015_POP_F07_2_POPULATION_BY_AGE_MALEXLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F07_2_POPULATION_BY_AGE_MALEXLS_HIGH%20VARIANT.csv', 'WPP2015_POP_F07_2_POPULATION_BY_AGE_MALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F07_2_POPULATION_BY_AGE_MALEXLS_ESTIMATES.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Population by Age Groups - Male (XLS, 16.76 MB)\\n\\nQuinquennial Population by Five-Year Age Groups - Male. De facto population as of 1 July of the year indicated classified by five-year age groups (0-4, 5-9, 10-14, ..., 95-99, 100+). Data are presented in thousands.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/1_Population/WPP2015_POP_F07_2_POPULATION_BY_AGE_MALE.XLS'}\n",
      "(400)\n",
      "Reason: Bad Request\n",
      "HTTP response headers: HTTPHeaderDict({'Server': 'nginx/1.8.1', 'Content-Length': '124', 'Date': 'Sun, 09 Apr 2017 23:46:07 GMT', 'Connection': 'keep-alive', 'Content-Type': 'application/json'})\n",
      "HTTP response body: {\"code\":400,\"message\":\"Attempted to create an entity that already exists.\",\"details\":\"f05968d7-7446-4b6a-8d4b-9e9a9de4b57e\"}\n",
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      "200\n",
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      "200\n",
      "{'title': 'UN: Child Dependency Ratio 3 (', 'license': 'Other', 'description': 'Child Dependency Ratio (Age 0-19 / Age 20-69) De facto population as of 1 July of the year indicated.', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'population', 'indicators', 'populationindicators'], 'files': {'WPP2015_POP_F12_C_CHILD_DEPENDENCY_RATIO_2069XLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_C_CHILD_DEPENDENCY_RATIO_2069XLS_CONSTANT-FERTILITY.csv', 'WPP2015_POP_F12_C_CHILD_DEPENDENCY_RATIO_2069XLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_C_CHILD_DEPENDENCY_RATIO_2069XLS_ESTIMATES.csv', 'WPP2015_POP_F12_C_CHILD_DEPENDENCY_RATIO_2069XLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_C_CHILD_DEPENDENCY_RATIO_2069XLS_CONSTANT-MORTALITY.csv', 'WPP2015_POP_F12_C_CHILD_DEPENDENCY_RATIO_2069XLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_C_CHILD_DEPENDENCY_RATIO_2069XLS_LOW%20VARIANT.csv', 'WPP2015_POP_F12_C_CHILD_DEPENDENCY_RATIO_2069XLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_C_CHILD_DEPENDENCY_RATIO_2069XLS_MEDIUM%20VARIANT.csv', 'WPP2015_POP_F12_C_CHILD_DEPENDENCY_RATIO_2069XLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_C_CHILD_DEPENDENCY_RATIO_2069XLS_INSTANT-REPLACEMENT.csv', 'WPP2015_POP_F12_C_CHILD_DEPENDENCY_RATIO_2069XLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_C_CHILD_DEPENDENCY_RATIO_2069XLS_HIGH%20VARIANT.csv', 'WPP2015_POP_F12_C_CHILD_DEPENDENCY_RATIO_2069XLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_C_CHILD_DEPENDENCY_RATIO_2069XLS_ZERO-MIGRATION.csv', 'WPP2015_POP_F12_C_CHILD_DEPENDENCY_RATIO_2069XLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_C_CHILD_DEPENDENCY_RATIO_2069XLS_NO%20CHANGE.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Child Dependency Ratio 3 (XLS, 924 KB)\\n\\nChild Dependency Ratio (Age 0-19 / Age 20-69) De facto population as of 1 July of the year indicated.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/1_Population/WPP2015_POP_F12_C_CHILD_DEPENDENCY_RATIO_2069.XLS'}\n",
      "200\n",
      "{'title': 'UN: Child Dependency Ratio 4 (', 'license': 'Other', 'description': 'Child Dependency Ratio (Age 0-24 / Age 25-64) De facto population as of 1 July of the year indicated.', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'population', 'indicators', 'populationindicators'], 'files': {'WPP2015_POP_F12_D_CHILD_DEPENDENCY_RATIO_2564XLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_D_CHILD_DEPENDENCY_RATIO_2564XLS_CONSTANT-MORTALITY.csv', 'WPP2015_POP_F12_D_CHILD_DEPENDENCY_RATIO_2564XLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_D_CHILD_DEPENDENCY_RATIO_2564XLS_INSTANT-REPLACEMENT.csv', 'WPP2015_POP_F12_D_CHILD_DEPENDENCY_RATIO_2564XLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_D_CHILD_DEPENDENCY_RATIO_2564XLS_CONSTANT-FERTILITY.csv', 'WPP2015_POP_F12_D_CHILD_DEPENDENCY_RATIO_2564XLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_D_CHILD_DEPENDENCY_RATIO_2564XLS_LOW%20VARIANT.csv', 'WPP2015_POP_F12_D_CHILD_DEPENDENCY_RATIO_2564XLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_D_CHILD_DEPENDENCY_RATIO_2564XLS_MEDIUM%20VARIANT.csv', 'WPP2015_POP_F12_D_CHILD_DEPENDENCY_RATIO_2564XLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_D_CHILD_DEPENDENCY_RATIO_2564XLS_NO%20CHANGE.csv', 'WPP2015_POP_F12_D_CHILD_DEPENDENCY_RATIO_2564XLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_D_CHILD_DEPENDENCY_RATIO_2564XLS_HIGH%20VARIANT.csv', 'WPP2015_POP_F12_D_CHILD_DEPENDENCY_RATIO_2564XLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_D_CHILD_DEPENDENCY_RATIO_2564XLS_ESTIMATES.csv', 'WPP2015_POP_F12_D_CHILD_DEPENDENCY_RATIO_2564XLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_D_CHILD_DEPENDENCY_RATIO_2564XLS_ZERO-MIGRATION.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Child Dependency Ratio 4 (XLS, 924 KB)\\n\\nChild Dependency Ratio (Age 0-24 / Age 25-64) De facto population as of 1 July of the year indicated.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/1_Population/WPP2015_POP_F12_D_CHILD_DEPENDENCY_RATIO_2564.XLS'}\n",
      "200\n",
      "{'title': 'UN: Child Dependency Ratio 5 (', 'license': 'Other', 'description': 'Child Dependency Ratio (Age 0-24 / Age 25-69) De facto population as of 1 July of the year indicated.', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'population', 'indicators', 'populationindicators'], 'files': {'WPP2015_POP_F12_E_CHILD_DEPENDENCY_RATIO_2569XLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_E_CHILD_DEPENDENCY_RATIO_2569XLS_MEDIUM%20VARIANT.csv', 'WPP2015_POP_F12_E_CHILD_DEPENDENCY_RATIO_2569XLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_E_CHILD_DEPENDENCY_RATIO_2569XLS_ESTIMATES.csv', 'WPP2015_POP_F12_E_CHILD_DEPENDENCY_RATIO_2569XLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_E_CHILD_DEPENDENCY_RATIO_2569XLS_HIGH%20VARIANT.csv', 'WPP2015_POP_F12_E_CHILD_DEPENDENCY_RATIO_2569XLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_E_CHILD_DEPENDENCY_RATIO_2569XLS_CONSTANT-MORTALITY.csv', 'WPP2015_POP_F12_E_CHILD_DEPENDENCY_RATIO_2569XLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_E_CHILD_DEPENDENCY_RATIO_2569XLS_ZERO-MIGRATION.csv', 'WPP2015_POP_F12_E_CHILD_DEPENDENCY_RATIO_2569XLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_E_CHILD_DEPENDENCY_RATIO_2569XLS_CONSTANT-FERTILITY.csv', 'WPP2015_POP_F12_E_CHILD_DEPENDENCY_RATIO_2569XLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_E_CHILD_DEPENDENCY_RATIO_2569XLS_LOW%20VARIANT.csv', 'WPP2015_POP_F12_E_CHILD_DEPENDENCY_RATIO_2569XLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_E_CHILD_DEPENDENCY_RATIO_2569XLS_NO%20CHANGE.csv', 'WPP2015_POP_F12_E_CHILD_DEPENDENCY_RATIO_2569XLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F12_E_CHILD_DEPENDENCY_RATIO_2569XLS_INSTANT-REPLACEMENT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Child Dependency Ratio 5 (XLS, 924 KB)\\n\\nChild Dependency Ratio (Age 0-24 / Age 25-69) De facto population as of 1 July of the year indicated.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/1_Population/WPP2015_POP_F12_E_CHILD_DEPENDENCY_RATIO_2569.XLS'}\n",
      "200\n",
      "{'title': 'UN: Old-Age Dependency Ratio 1', 'license': 'Other', 'description': 'Old-Age Dependency Ratio (Age 65+ / Age 15-64) De facto population as of 1 July of the year indicated.', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'population', 'indicators', 'populationindicators'], 'files': {'WPP2015_POP_F13_A_OLD_AGE_DEPENDENCY_RATIO_1564XLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F13_A_OLD_AGE_DEPENDENCY_RATIO_1564XLS_NO%20CHANGE.csv', 'WPP2015_POP_F13_A_OLD_AGE_DEPENDENCY_RATIO_1564XLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F13_A_OLD_AGE_DEPENDENCY_RATIO_1564XLS_HIGH%20VARIANT.csv', 'WPP2015_POP_F13_A_OLD_AGE_DEPENDENCY_RATIO_1564XLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F13_A_OLD_AGE_DEPENDENCY_RATIO_1564XLS_CONSTANT-FERTILITY.csv', 'WPP2015_POP_F13_A_OLD_AGE_DEPENDENCY_RATIO_1564XLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F13_A_OLD_AGE_DEPENDENCY_RATIO_1564XLS_MEDIUM%20VARIANT.csv', 'WPP2015_POP_F13_A_OLD_AGE_DEPENDENCY_RATIO_1564XLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F13_A_OLD_AGE_DEPENDENCY_RATIO_1564XLS_INSTANT-REPLACEMENT.csv', 'WPP2015_POP_F13_A_OLD_AGE_DEPENDENCY_RATIO_1564XLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F13_A_OLD_AGE_DEPENDENCY_RATIO_1564XLS_ZERO-MIGRATION.csv', 'WPP2015_POP_F13_A_OLD_AGE_DEPENDENCY_RATIO_1564XLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F13_A_OLD_AGE_DEPENDENCY_RATIO_1564XLS_CONSTANT-MORTALITY.csv', 'WPP2015_POP_F13_A_OLD_AGE_DEPENDENCY_RATIO_1564XLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F13_A_OLD_AGE_DEPENDENCY_RATIO_1564XLS_LOW%20VARIANT.csv', 'WPP2015_POP_F13_A_OLD_AGE_DEPENDENCY_RATIO_1564XLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F13_A_OLD_AGE_DEPENDENCY_RATIO_1564XLS_ESTIMATES.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Old-Age Dependency Ratio 1 (XLS, 924 KB)\\n\\nOld-Age Dependency Ratio (Age 65+ / Age 15-64) De facto population as of 1 July of the year indicated.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/1_Population/WPP2015_POP_F13_A_OLD_AGE_DEPENDENCY_RATIO_1564.XLS'}\n",
      "200\n",
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      "200\n",
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      "200\n",
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      "200\n",
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      "200\n",
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      "200\n",
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      "200\n",
      "{'title': 'UN: Potential Support Ratio 3 ', 'license': 'Other', 'description': 'Potential Support Ratio (Age 20-69 / Age 70+) De facto population as of 1 July of the year indicated.', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'population', 'indicators', 'populationindicators'], 'files': {'WPP2015_POP_F14_C_POTENTIAL_SUPPORT_RATIO_2069_70XLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_C_POTENTIAL_SUPPORT_RATIO_2069_70XLS_LOW%20VARIANT.csv', 'WPP2015_POP_F14_C_POTENTIAL_SUPPORT_RATIO_2069_70XLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_C_POTENTIAL_SUPPORT_RATIO_2069_70XLS_CONSTANT-FERTILITY.csv', 'WPP2015_POP_F14_C_POTENTIAL_SUPPORT_RATIO_2069_70XLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_C_POTENTIAL_SUPPORT_RATIO_2069_70XLS_ZERO-MIGRATION.csv', 'WPP2015_POP_F14_C_POTENTIAL_SUPPORT_RATIO_2069_70XLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_C_POTENTIAL_SUPPORT_RATIO_2069_70XLS_INSTANT-REPLACEMENT.csv', 'WPP2015_POP_F14_C_POTENTIAL_SUPPORT_RATIO_2069_70XLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_C_POTENTIAL_SUPPORT_RATIO_2069_70XLS_MEDIUM%20VARIANT.csv', 'WPP2015_POP_F14_C_POTENTIAL_SUPPORT_RATIO_2069_70XLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_C_POTENTIAL_SUPPORT_RATIO_2069_70XLS_HIGH%20VARIANT.csv', 'WPP2015_POP_F14_C_POTENTIAL_SUPPORT_RATIO_2069_70XLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_C_POTENTIAL_SUPPORT_RATIO_2069_70XLS_CONSTANT-MORTALITY.csv', 'WPP2015_POP_F14_C_POTENTIAL_SUPPORT_RATIO_2069_70XLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_C_POTENTIAL_SUPPORT_RATIO_2069_70XLS_NO%20CHANGE.csv', 'WPP2015_POP_F14_C_POTENTIAL_SUPPORT_RATIO_2069_70XLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_C_POTENTIAL_SUPPORT_RATIO_2069_70XLS_ESTIMATES.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Potential Support Ratio 3 (XLS, 924 KB)\\n\\nPotential Support Ratio (Age 20-69 / Age 70+) De facto population as of 1 July of the year indicated.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/1_Population/WPP2015_POP_F14_C_POTENTIAL_SUPPORT_RATIO_2069_70.XLS'}\n",
      "200\n",
      "{'title': 'UN: Potential Support Ratio 4 ', 'license': 'Other', 'description': 'Potential Support Ratio (Age 25-64 / Age 65+) De facto population as of 1 July of the year indicated.', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'population', 'indicators', 'populationindicators'], 'files': {'WPP2015_POP_F14_D_POTENTIAL_SUPPORT_RATIO_2564_65XLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_D_POTENTIAL_SUPPORT_RATIO_2564_65XLS_INSTANT-REPLACEMENT.csv', 'WPP2015_POP_F14_D_POTENTIAL_SUPPORT_RATIO_2564_65XLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_D_POTENTIAL_SUPPORT_RATIO_2564_65XLS_MEDIUM%20VARIANT.csv', 'WPP2015_POP_F14_D_POTENTIAL_SUPPORT_RATIO_2564_65XLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_D_POTENTIAL_SUPPORT_RATIO_2564_65XLS_NO%20CHANGE.csv', 'WPP2015_POP_F14_D_POTENTIAL_SUPPORT_RATIO_2564_65XLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_D_POTENTIAL_SUPPORT_RATIO_2564_65XLS_CONSTANT-FERTILITY.csv', 'WPP2015_POP_F14_D_POTENTIAL_SUPPORT_RATIO_2564_65XLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_D_POTENTIAL_SUPPORT_RATIO_2564_65XLS_CONSTANT-MORTALITY.csv', 'WPP2015_POP_F14_D_POTENTIAL_SUPPORT_RATIO_2564_65XLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_D_POTENTIAL_SUPPORT_RATIO_2564_65XLS_ZERO-MIGRATION.csv', 'WPP2015_POP_F14_D_POTENTIAL_SUPPORT_RATIO_2564_65XLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_D_POTENTIAL_SUPPORT_RATIO_2564_65XLS_HIGH%20VARIANT.csv', 'WPP2015_POP_F14_D_POTENTIAL_SUPPORT_RATIO_2564_65XLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_D_POTENTIAL_SUPPORT_RATIO_2564_65XLS_LOW%20VARIANT.csv', 'WPP2015_POP_F14_D_POTENTIAL_SUPPORT_RATIO_2564_65XLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_D_POTENTIAL_SUPPORT_RATIO_2564_65XLS_ESTIMATES.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Potential Support Ratio 4 (XLS, 924 KB)\\n\\nPotential Support Ratio (Age 25-64 / Age 65+) De facto population as of 1 July of the year indicated.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/1_Population/WPP2015_POP_F14_D_POTENTIAL_SUPPORT_RATIO_2564_65.XLS'}\n",
      "200\n",
      "{'title': 'UN: Potential Support Ratio 5 ', 'license': 'Other', 'description': 'Potential Support Ratio (Age 25-69 / Age 70+) De facto population as of 1 July of the year indicated.', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'population', 'indicators', 'populationindicators'], 'files': {'WPP2015_POP_F14_E_POTENTIAL_SUPPORT_RATIO_2569_70XLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_E_POTENTIAL_SUPPORT_RATIO_2569_70XLS_INSTANT-REPLACEMENT.csv', 'WPP2015_POP_F14_E_POTENTIAL_SUPPORT_RATIO_2569_70XLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_E_POTENTIAL_SUPPORT_RATIO_2569_70XLS_MEDIUM%20VARIANT.csv', 'WPP2015_POP_F14_E_POTENTIAL_SUPPORT_RATIO_2569_70XLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_E_POTENTIAL_SUPPORT_RATIO_2569_70XLS_ZERO-MIGRATION.csv', 'WPP2015_POP_F14_E_POTENTIAL_SUPPORT_RATIO_2569_70XLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_E_POTENTIAL_SUPPORT_RATIO_2569_70XLS_NO%20CHANGE.csv', 'WPP2015_POP_F14_E_POTENTIAL_SUPPORT_RATIO_2569_70XLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_E_POTENTIAL_SUPPORT_RATIO_2569_70XLS_ESTIMATES.csv', 'WPP2015_POP_F14_E_POTENTIAL_SUPPORT_RATIO_2569_70XLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_E_POTENTIAL_SUPPORT_RATIO_2569_70XLS_CONSTANT-FERTILITY.csv', 'WPP2015_POP_F14_E_POTENTIAL_SUPPORT_RATIO_2569_70XLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_E_POTENTIAL_SUPPORT_RATIO_2569_70XLS_LOW%20VARIANT.csv', 'WPP2015_POP_F14_E_POTENTIAL_SUPPORT_RATIO_2569_70XLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_E_POTENTIAL_SUPPORT_RATIO_2569_70XLS_HIGH%20VARIANT.csv', 'WPP2015_POP_F14_E_POTENTIAL_SUPPORT_RATIO_2569_70XLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F14_E_POTENTIAL_SUPPORT_RATIO_2569_70XLS_CONSTANT-MORTALITY.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Potential Support Ratio 5 (XLS, 924 KB)\\n\\nPotential Support Ratio (Age 25-69 / Age 70+) De facto population as of 1 July of the year indicated.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/1_Population/WPP2015_POP_F14_E_POTENTIAL_SUPPORT_RATIO_2569_70.XLS'}\n",
      "200\n",
      "{'title': 'UN: Annual Population by Age G', 'license': 'Other', 'description': 'Annual Population by Five-Year Age Groups - Both Sexes. De facto population as of 1 July of the year indicated classifie', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'population', 'indicators', 'populationindicators'], 'files': {'WPP2015_POP_F15_1_ANNUAL_POPULATION_BY_AGE_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F15_1_ANNUAL_POPULATION_BY_AGE_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv', 'WPP2015_POP_F15_1_ANNUAL_POPULATION_BY_AGE_BOTH_SEXESXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F15_1_ANNUAL_POPULATION_BY_AGE_BOTH_SEXESXLS_ESTIMATES.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Annual Population by Age Groups - Both Sexes (XLS, 16.37 MB)\\n\\nAnnual Population by Five-Year Age Groups - Both Sexes. De facto population as of 1 July of the year indicated classified by five-year age groups (0-4, 5-9, 10-14, ..., 95-99, 100+). Data are presented in thousands.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/1_Population/WPP2015_POP_F15_1_ANNUAL_POPULATION_BY_AGE_BOTH_SEXES.XLS'}\n",
      "200\n",
      "{'title': 'UN: Annual Population by Age G', 'license': 'Other', 'description': 'Annual Population by Five-Year Age Groups - Male. De facto population as of 1 July of the year indicated classified by f', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'population', 'indicators', 'populationindicators'], 'files': {'WPP2015_POP_F15_2_ANNUAL_POPULATION_BY_AGE_MALEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F15_2_ANNUAL_POPULATION_BY_AGE_MALEXLS_MEDIUM%20VARIANT.csv', 'WPP2015_POP_F15_2_ANNUAL_POPULATION_BY_AGE_MALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F15_2_ANNUAL_POPULATION_BY_AGE_MALEXLS_ESTIMATES.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Annual Population by Age Groups - Male (XLS, 16.35 MB)\\n\\nAnnual Population by Five-Year Age Groups - Male. De facto population as of 1 July of the year indicated classified by five-year age groups (0-4, 5-9, 10-14, ..., 95-99, 100+). Data are presented in thousands.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/1_Population/WPP2015_POP_F15_2_ANNUAL_POPULATION_BY_AGE_MALE.XLS'}\n",
      "(400)\n",
      "Reason: Bad Request\n",
      "HTTP response headers: HTTPHeaderDict({'Server': 'nginx/1.8.1', 'Content-Length': '124', 'Date': 'Mon, 10 Apr 2017 00:00:15 GMT', 'Connection': 'keep-alive', 'Content-Type': 'application/json'})\n",
      "HTTP response body: {\"code\":400,\"message\":\"Attempted to create an entity that already exists.\",\"details\":\"fffbdc35-8539-4d38-ae63-78ee1e6d20b2\"}\n",
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      "200\n",
      "{'title': 'UN: Annual Population by Age G', 'license': 'Other', 'description': 'Annual Population by Five-Year Age Groups - Female. De facto population as of 1 July of the year indicated classified by', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'population', 'indicators', 'populationindicators'], 'files': {'WPP2015_POP_F15_3_ANNUAL_POPULATION_BY_AGE_FEMALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F15_3_ANNUAL_POPULATION_BY_AGE_FEMALEXLS_ESTIMATES.csv', 'WPP2015_POP_F15_3_ANNUAL_POPULATION_BY_AGE_FEMALEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_POP_F15_3_ANNUAL_POPULATION_BY_AGE_FEMALEXLS_MEDIUM%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Annual Population by Age Groups - Female (XLS, 16.33 MB)\\n\\nAnnual Population by Five-Year Age Groups - Female. De facto population as of 1 July of the year indicated classified by five-year age groups (0-4, 5-9, 10-14, ..., 95-99, 100+). Data are presented in thousands.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/1_Population/WPP2015_POP_F15_3_ANNUAL_POPULATION_BY_AGE_FEMALE.XLS'}\n",
      "(400)\n",
      "Reason: Bad Request\n",
      "HTTP response headers: HTTPHeaderDict({'Server': 'nginx/1.8.1', 'Content-Length': '124', 'Date': 'Mon, 10 Apr 2017 00:00:50 GMT', 'Connection': 'keep-alive', 'Content-Type': 'application/json'})\n",
      "HTTP response body: {\"code\":400,\"message\":\"Attempted to create an entity that already exists.\",\"details\":\"9d83a874-abbf-49c2-8fe1-6b8e6dd074aa\"}\n",
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      "200\n",
      "{'title': 'UN: Births (XLS, 858 KB)', 'license': 'Other', 'description': 'Number of births over a given period. Refers to five-year periods running from 1 July to 30 June of the initial and fina', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'fertility', 'indicators', 'fertilityindicators'], 'files': {'WPP2015_FERT_F01_BIRTHS_BOTH_SEXESXLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F01_BIRTHS_BOTH_SEXESXLS_INSTANT-REPLACEMENT.csv', 'WPP2015_FERT_F01_BIRTHS_BOTH_SEXESXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F01_BIRTHS_BOTH_SEXESXLS_ESTIMATES.csv', 'WPP2015_FERT_F01_BIRTHS_BOTH_SEXESXLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F01_BIRTHS_BOTH_SEXESXLS_HIGH%20VARIANT.csv', 'WPP2015_FERT_F01_BIRTHS_BOTH_SEXESXLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F01_BIRTHS_BOTH_SEXESXLS_CONSTANT-FERTILITY.csv', 'WPP2015_FERT_F01_BIRTHS_BOTH_SEXESXLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F01_BIRTHS_BOTH_SEXESXLS_CONSTANT-MORTALITY.csv', 'WPP2015_FERT_F01_BIRTHS_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F01_BIRTHS_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv', 'WPP2015_FERT_F01_BIRTHS_BOTH_SEXESXLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F01_BIRTHS_BOTH_SEXESXLS_NO%20CHANGE.csv', 'WPP2015_FERT_F01_BIRTHS_BOTH_SEXESXLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F01_BIRTHS_BOTH_SEXESXLS_LOW%20VARIANT.csv', 'WPP2015_FERT_F01_BIRTHS_BOTH_SEXESXLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F01_BIRTHS_BOTH_SEXESXLS_ZERO-MIGRATION.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Births (XLS, 858 KB)\\n\\nNumber of births over a given period. Refers to five-year periods running from 1 July to 30 June of the initial and final years. Data are presented in thousands.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/2_Fertility/WPP2015_FERT_F01_BIRTHS_BOTH_SEXES.XLS'}\n",
      "200\n",
      "{'title': 'UN: Sex Ratio at Birth (SRB) (', 'license': 'Other', 'description': 'Number of male births per one female birth.', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'fertility', 'indicators', 'fertilityindicators'], 'files': {'WPP2015_FERT_F02_SEX_RATIO_AT_BIRTHXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F02_SEX_RATIO_AT_BIRTHXLS_MEDIUM%20VARIANT.csv', 'WPP2015_FERT_F02_SEX_RATIO_AT_BIRTHXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F02_SEX_RATIO_AT_BIRTHXLS_ESTIMATES.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Sex Ratio at Birth (SRB) (XLS, 152 KB)\\n\\nNumber of male births per one female birth.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/2_Fertility/WPP2015_FERT_F02_SEX_RATIO_AT_BIRTH.XLS'}\n",
      "200\n",
      "{'title': 'UN: Crude Birth Rate (CBR) (XL', 'license': 'Other', 'description': 'Number of births over a given period divided by the person-years lived by the population over that period. It is express', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'fertility', 'indicators', 'fertilityindicators'], 'files': {'WPP2015_FERT_F03_CRUDE_BIRTH_RATEXLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F03_CRUDE_BIRTH_RATEXLS_ZERO-MIGRATION.csv', 'WPP2015_FERT_F03_CRUDE_BIRTH_RATEXLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F03_CRUDE_BIRTH_RATEXLS_LOW%20VARIANT.csv', 'WPP2015_FERT_F03_CRUDE_BIRTH_RATEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F03_CRUDE_BIRTH_RATEXLS_ESTIMATES.csv', 'WPP2015_FERT_F03_CRUDE_BIRTH_RATEXLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F03_CRUDE_BIRTH_RATEXLS_INSTANT-REPLACEMENT.csv', 'WPP2015_FERT_F03_CRUDE_BIRTH_RATEXLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F03_CRUDE_BIRTH_RATEXLS_CONSTANT-FERTILITY.csv', 'WPP2015_FERT_F03_CRUDE_BIRTH_RATEXLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F03_CRUDE_BIRTH_RATEXLS_NO%20CHANGE.csv', 'WPP2015_FERT_F03_CRUDE_BIRTH_RATEXLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F03_CRUDE_BIRTH_RATEXLS_CONSTANT-MORTALITY.csv', 'WPP2015_FERT_F03_CRUDE_BIRTH_RATEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F03_CRUDE_BIRTH_RATEXLS_MEDIUM%20VARIANT.csv', 'WPP2015_FERT_F03_CRUDE_BIRTH_RATEXLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F03_CRUDE_BIRTH_RATEXLS_HIGH%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Crude Birth Rate (CBR) (XLS, 850 KB)\\n\\nNumber of births over a given period divided by the person-years lived by the population over that period. It is expressed as average annual number of births per 1,000 population.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/2_Fertility/WPP2015_FERT_F03_CRUDE_BIRTH_RATE.XLS'}\n",
      "200\n",
      "{'title': 'UN: Total fertility (TFR) (XLS', 'license': 'Other', 'description': 'The average number of children a hypothetical cohort of women would have at the end of their reproductive period if they', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'fertility', 'indicators', 'fertilityindicators'], 'files': {'WPP2015_FERT_F04_TOTAL_FERTILITYXLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F04_TOTAL_FERTILITYXLS_CONSTANT-MORTALITY.csv', 'WPP2015_FERT_F04_TOTAL_FERTILITYXLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F04_TOTAL_FERTILITYXLS_INSTANT-REPLACEMENT.csv', 'WPP2015_FERT_F04_TOTAL_FERTILITYXLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F04_TOTAL_FERTILITYXLS_ZERO-MIGRATION.csv', 'WPP2015_FERT_F04_TOTAL_FERTILITYXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F04_TOTAL_FERTILITYXLS_MEDIUM%20VARIANT.csv', 'WPP2015_FERT_F04_TOTAL_FERTILITYXLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F04_TOTAL_FERTILITYXLS_NO%20CHANGE.csv', 'WPP2015_FERT_F04_TOTAL_FERTILITYXLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F04_TOTAL_FERTILITYXLS_HIGH%20VARIANT.csv', 'WPP2015_FERT_F04_TOTAL_FERTILITYXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F04_TOTAL_FERTILITYXLS_ESTIMATES.csv', 'WPP2015_FERT_F04_TOTAL_FERTILITYXLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F04_TOTAL_FERTILITYXLS_LOW%20VARIANT.csv', 'WPP2015_FERT_F04_TOTAL_FERTILITYXLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F04_TOTAL_FERTILITYXLS_CONSTANT-FERTILITY.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Total fertility (TFR) (XLS, 849 KB)\\n\\nThe average number of children a hypothetical cohort of women would have at the end of their reproductive period if they were subject during their whole lives to the fertility rates of a given period and if they were not subject to mortality.  It is expressed as children per woman.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/2_Fertility/WPP2015_FERT_F04_TOTAL_FERTILITY.XLS'}\n",
      "200\n",
      "{'title': 'UN: Net Reproduction Rate (NRR', 'license': 'Other', 'description': 'The average number of daughters a hypothetical cohort of women would have at the end of their reproductive period if the', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'fertility', 'indicators', 'fertilityindicators'], 'files': {'WPP2015_FERT_F05_NET_REPRODUCTION_RATEXLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F05_NET_REPRODUCTION_RATEXLS_NO%20CHANGE.csv', 'WPP2015_FERT_F05_NET_REPRODUCTION_RATEXLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F05_NET_REPRODUCTION_RATEXLS_CONSTANT-MORTALITY.csv', 'WPP2015_FERT_F05_NET_REPRODUCTION_RATEXLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F05_NET_REPRODUCTION_RATEXLS_ZERO-MIGRATION.csv', 'WPP2015_FERT_F05_NET_REPRODUCTION_RATEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F05_NET_REPRODUCTION_RATEXLS_ESTIMATES.csv', 'WPP2015_FERT_F05_NET_REPRODUCTION_RATEXLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F05_NET_REPRODUCTION_RATEXLS_LOW%20VARIANT.csv', 'WPP2015_FERT_F05_NET_REPRODUCTION_RATEXLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F05_NET_REPRODUCTION_RATEXLS_CONSTANT-FERTILITY.csv', 'WPP2015_FERT_F05_NET_REPRODUCTION_RATEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F05_NET_REPRODUCTION_RATEXLS_MEDIUM%20VARIANT.csv', 'WPP2015_FERT_F05_NET_REPRODUCTION_RATEXLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F05_NET_REPRODUCTION_RATEXLS_HIGH%20VARIANT.csv', 'WPP2015_FERT_F05_NET_REPRODUCTION_RATEXLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F05_NET_REPRODUCTION_RATEXLS_INSTANT-REPLACEMENT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Net Reproduction Rate (NRR) (XLS, 806 KB)\\n\\nThe average number of daughters a hypothetical cohort of women would have at the end of their reproductive period if they were subject during their whole lives to the fertility rates and the mortality rates of a given period.  It is expressed as number of daughters per woman.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/2_Fertility/WPP2015_FERT_F05_NET_REPRODUCTION_RATE.XLS'}\n",
      "200\n",
      "{'title': 'UN: Births by Age of Mother (X', 'license': 'Other', 'description': 'Number of births over a given period classified by age group of mother (15-19, 20-24, 25-29, 30-34, ..., 45-49). Refers ', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'fertility', 'indicators', 'fertilityindicators'], 'files': {'WPP2015_FERT_F06_BIRTHS_BY_AGE_OF_MOTHERXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F06_BIRTHS_BY_AGE_OF_MOTHERXLS_MEDIUM%20VARIANT.csv', 'WPP2015_FERT_F06_BIRTHS_BY_AGE_OF_MOTHERXLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F06_BIRTHS_BY_AGE_OF_MOTHERXLS_INSTANT-REPLACEMENT.csv', 'WPP2015_FERT_F06_BIRTHS_BY_AGE_OF_MOTHERXLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F06_BIRTHS_BY_AGE_OF_MOTHERXLS_NO%20CHANGE.csv', 'WPP2015_FERT_F06_BIRTHS_BY_AGE_OF_MOTHERXLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F06_BIRTHS_BY_AGE_OF_MOTHERXLS_CONSTANT-FERTILITY.csv', 'WPP2015_FERT_F06_BIRTHS_BY_AGE_OF_MOTHERXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F06_BIRTHS_BY_AGE_OF_MOTHERXLS_ESTIMATES.csv', 'WPP2015_FERT_F06_BIRTHS_BY_AGE_OF_MOTHERXLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F06_BIRTHS_BY_AGE_OF_MOTHERXLS_CONSTANT-MORTALITY.csv', 'WPP2015_FERT_F06_BIRTHS_BY_AGE_OF_MOTHERXLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F06_BIRTHS_BY_AGE_OF_MOTHERXLS_LOW%20VARIANT.csv', 'WPP2015_FERT_F06_BIRTHS_BY_AGE_OF_MOTHERXLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F06_BIRTHS_BY_AGE_OF_MOTHERXLS_HIGH%20VARIANT.csv', 'WPP2015_FERT_F06_BIRTHS_BY_AGE_OF_MOTHERXLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F06_BIRTHS_BY_AGE_OF_MOTHERXLS_ZERO-MIGRATION.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Births by Age of Mother (XLS, 7.74 MB)\\n\\nNumber of births over a given period classified by age group of mother (15-19, 20-24, 25-29, 30-34, ..., 45-49). Refers to five-year periods running from 1 July to 30 June of the initial and final years. Data are presented in thousands.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/2_Fertility/WPP2015_FERT_F06_BIRTHS_BY_AGE_OF_MOTHER.XLS'}\n",
      "200\n",
      "{'title': 'UN: Age-specific Fertility Rat', 'license': 'Other', 'description': 'Number of births to women in a particular age group, divided by the number of women in that age group. The age groups us', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'fertility', 'indicators', 'fertilityindicators'], 'files': {'WPP2015_FERT_F07_AGE_SPECIFIC_FERTILITYXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F07_AGE_SPECIFIC_FERTILITYXLS_MEDIUM%20VARIANT.csv', 'WPP2015_FERT_F07_AGE_SPECIFIC_FERTILITYXLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F07_AGE_SPECIFIC_FERTILITYXLS_NO%20CHANGE.csv', 'WPP2015_FERT_F07_AGE_SPECIFIC_FERTILITYXLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F07_AGE_SPECIFIC_FERTILITYXLS_CONSTANT-MORTALITY.csv', 'WPP2015_FERT_F07_AGE_SPECIFIC_FERTILITYXLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F07_AGE_SPECIFIC_FERTILITYXLS_CONSTANT-FERTILITY.csv', 'WPP2015_FERT_F07_AGE_SPECIFIC_FERTILITYXLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F07_AGE_SPECIFIC_FERTILITYXLS_HIGH%20VARIANT.csv', 'WPP2015_FERT_F07_AGE_SPECIFIC_FERTILITYXLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F07_AGE_SPECIFIC_FERTILITYXLS_LOW%20VARIANT.csv', 'WPP2015_FERT_F07_AGE_SPECIFIC_FERTILITYXLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F07_AGE_SPECIFIC_FERTILITYXLS_INSTANT-REPLACEMENT.csv', 'WPP2015_FERT_F07_AGE_SPECIFIC_FERTILITYXLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F07_AGE_SPECIFIC_FERTILITYXLS_ZERO-MIGRATION.csv', 'WPP2015_FERT_F07_AGE_SPECIFIC_FERTILITYXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F07_AGE_SPECIFIC_FERTILITYXLS_ESTIMATES.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Age-specific Fertility Rates (ASFR) (XLS, 7.75 MB)\\n\\nNumber of births to women in a particular age group, divided by the number of women in that age group. The age groups used are: 15-19, 20-24, ..., 45-49. The data refer to five-year periods running from 1 July to 30 June of the initial and final years.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/2_Fertility/WPP2015_FERT_F07_AGE_SPECIFIC_FERTILITY.XLS'}\n",
      "200\n",
      "{'title': 'UN: Mean Age of Childbearing (', 'license': 'Other', 'description': 'The average age of mothers at the birth of their children if women were subject throughout their lives to the age-specif', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'fertility', 'indicators', 'fertilityindicators'], 'files': {'WPP2015_FERT_F08_MEAN_AGE_CHILDBEARINGXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F08_MEAN_AGE_CHILDBEARINGXLS_ESTIMATES.csv', 'WPP2015_FERT_F08_MEAN_AGE_CHILDBEARINGXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_FERT_F08_MEAN_AGE_CHILDBEARINGXLS_MEDIUM%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Mean Age of Childbearing (MAC) (XLS, 198 KB)\\n\\nThe average age of mothers at the birth of their children if women were subject throughout their lives to the age-specific fertility rates observed in a given year. It is expressed as years.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/2_Fertility/WPP2015_FERT_F08_MEAN_AGE_CHILDBEARING.XLS'}\n",
      "200\n",
      "{'title': 'UN: Infant Mortality Rate (IMR', 'license': 'Other', 'description': 'Probability of dying between birth and exact age 1. It is expressed as average annual deaths per 1,000 births.', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'mortality', 'indicators', 'mortalityindicators'], 'files': {'WPP2015_MORT_F01_1_IMR_BOTH_SEXESXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F01_1_IMR_BOTH_SEXESXLS_ESTIMATES.csv', 'WPP2015_MORT_F01_1_IMR_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F01_1_IMR_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Infant Mortality Rate (IMR) (XLS, 212 KB)\\n\\nProbability of dying between birth and exact age 1. It is expressed as average annual deaths per 1,000 births.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/3_Mortality/WPP2015_MORT_F01_1_IMR_BOTH_SEXES.XLS'}\n",
      "200\n",
      "{'title': 'UN: Under-five Mortality (5q0)', 'license': 'Other', 'description': 'Probability of dying between birth and exact age 5. It is expressed as average annual deaths per 1,000 births.', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'mortality', 'indicators', 'mortalityindicators'], 'files': {'WPP2015_MORT_F01_2_Q5_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F01_2_Q5_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv', 'WPP2015_MORT_F01_2_Q5_BOTH_SEXESXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F01_2_Q5_BOTH_SEXESXLS_ESTIMATES.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Under-five Mortality (5q0) (XLS, 212 KB)\\n\\nProbability of dying between birth and exact age 5. It is expressed as average annual deaths per 1,000 births.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/3_Mortality/WPP2015_MORT_F01_2_Q5_BOTH_SEXES.XLS'}\n",
      "200\n",
      "{'title': 'UN: Crude Death Rate (CDR) (XL', 'license': 'Other', 'description': 'Number of deaths over a given period divided by the person-years lived by the population over that period. It is express', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'mortality', 'indicators', 'mortalityindicators'], 'files': {'WPP2015_MORT_F02_CRUDE_DEATH_RATEXLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F02_CRUDE_DEATH_RATEXLS_NO%20CHANGE.csv', 'WPP2015_MORT_F02_CRUDE_DEATH_RATEXLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F02_CRUDE_DEATH_RATEXLS_CONSTANT-MORTALITY.csv', 'WPP2015_MORT_F02_CRUDE_DEATH_RATEXLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F02_CRUDE_DEATH_RATEXLS_LOW%20VARIANT.csv', 'WPP2015_MORT_F02_CRUDE_DEATH_RATEXLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F02_CRUDE_DEATH_RATEXLS_ZERO-MIGRATION.csv', 'WPP2015_MORT_F02_CRUDE_DEATH_RATEXLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F02_CRUDE_DEATH_RATEXLS_HIGH%20VARIANT.csv', 'WPP2015_MORT_F02_CRUDE_DEATH_RATEXLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F02_CRUDE_DEATH_RATEXLS_CONSTANT-FERTILITY.csv', 'WPP2015_MORT_F02_CRUDE_DEATH_RATEXLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F02_CRUDE_DEATH_RATEXLS_INSTANT-REPLACEMENT.csv', 'WPP2015_MORT_F02_CRUDE_DEATH_RATEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F02_CRUDE_DEATH_RATEXLS_ESTIMATES.csv', 'WPP2015_MORT_F02_CRUDE_DEATH_RATEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F02_CRUDE_DEATH_RATEXLS_MEDIUM%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Crude Death Rate (CDR) (XLS, 850 KB)\\n\\nNumber of deaths over a given period divided by the person-years lived by the population over that period. It is expressed as average annual number of deaths per 1,000 population.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/3_Mortality/WPP2015_MORT_F02_CRUDE_DEATH_RATE.XLS'}\n",
      "200\n",
      "{'title': 'UN: Deaths - Both Sexes (XLS, ', 'license': 'Other', 'description': 'Number of deaths over a given period. Refers to five-year periods running from 1 July to 30 June of the initial and fina', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'mortality', 'indicators', 'mortalityindicators'], 'files': {'WPP2015_MORT_F03_1_DEATHS_BOTH_SEXESXLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F03_1_DEATHS_BOTH_SEXESXLS_ZERO-MIGRATION.csv', 'WPP2015_MORT_F03_1_DEATHS_BOTH_SEXESXLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F03_1_DEATHS_BOTH_SEXESXLS_LOW%20VARIANT.csv', 'WPP2015_MORT_F03_1_DEATHS_BOTH_SEXESXLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F03_1_DEATHS_BOTH_SEXESXLS_CONSTANT-FERTILITY.csv', 'WPP2015_MORT_F03_1_DEATHS_BOTH_SEXESXLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F03_1_DEATHS_BOTH_SEXESXLS_HIGH%20VARIANT.csv', 'WPP2015_MORT_F03_1_DEATHS_BOTH_SEXESXLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F03_1_DEATHS_BOTH_SEXESXLS_INSTANT-REPLACEMENT.csv', 'WPP2015_MORT_F03_1_DEATHS_BOTH_SEXESXLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F03_1_DEATHS_BOTH_SEXESXLS_CONSTANT-MORTALITY.csv', 'WPP2015_MORT_F03_1_DEATHS_BOTH_SEXESXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F03_1_DEATHS_BOTH_SEXESXLS_ESTIMATES.csv', 'WPP2015_MORT_F03_1_DEATHS_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F03_1_DEATHS_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv', 'WPP2015_MORT_F03_1_DEATHS_BOTH_SEXESXLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F03_1_DEATHS_BOTH_SEXESXLS_NO%20CHANGE.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Deaths - Both Sexes (XLS, 856 KB)\\n\\nNumber of deaths over a given period. Refers to five-year periods running from 1 July to 30 June of the initial and final years. Data are presented in thousands.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/3_Mortality/WPP2015_MORT_F03_1_DEATHS_BOTH_SEXES.XLS'}\n",
      "200\n",
      "{'title': 'UN: Deaths - Male (XLS, 854 KB', 'license': 'Other', 'description': 'Number of male deaths over a given period. Refers to five-year periods running from 1 July to 30 June of the initial and', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'mortality', 'indicators', 'mortalityindicators'], 'files': {'WPP2015_MORT_F03_2_DEATHS_MALEXLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F03_2_DEATHS_MALEXLS_LOW%20VARIANT.csv', 'WPP2015_MORT_F03_2_DEATHS_MALEXLS_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F03_2_DEATHS_MALEXLS_CONSTANT-MORTALITY.csv', 'WPP2015_MORT_F03_2_DEATHS_MALEXLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F03_2_DEATHS_MALEXLS_HIGH%20VARIANT.csv', 'WPP2015_MORT_F03_2_DEATHS_MALEXLS_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F03_2_DEATHS_MALEXLS_NO%20CHANGE.csv', 'WPP2015_MORT_F03_2_DEATHS_MALEXLS_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F03_2_DEATHS_MALEXLS_ZERO-MIGRATION.csv', 'WPP2015_MORT_F03_2_DEATHS_MALEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F03_2_DEATHS_MALEXLS_MEDIUM%20VARIANT.csv', 'WPP2015_MORT_F03_2_DEATHS_MALEXLS_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F03_2_DEATHS_MALEXLS_INSTANT-REPLACEMENT.csv', 'WPP2015_MORT_F03_2_DEATHS_MALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F03_2_DEATHS_MALEXLS_ESTIMATES.csv', 'WPP2015_MORT_F03_2_DEATHS_MALEXLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F03_2_DEATHS_MALEXLS_CONSTANT-FERTILITY.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Deaths - Male (XLS, 854 KB)\\n\\nNumber of male deaths over a given period. Refers to five-year periods running from 1 July to 30 June of the initial and final years. Data are presented in thousands.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/3_Mortality/WPP2015_MORT_F03_2_DEATHS_MALE.XLS'}\n",
      "200\n",
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      "200\n",
      "{'title': 'UN: Deaths by Age Groups - Bot', 'license': 'Other', 'description': 'Number of deaths by five-year age groups. Data are presented in thousands.', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'mortality', 'indicators', 'mortalityindicators'], 'files': {'WPP2015_MORT_F04_1_DEATHS_BY_AGE_BOTH_SEXESXLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F04_1_DEATHS_BY_AGE_BOTH_SEXESXLS_CONSTANT-FERTILITY.csv', 'WPP2015_MORT_F04_1_DEATHS_BY_AGE_BOTH_SEXESXLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F04_1_DEATHS_BY_AGE_BOTH_SEXESXLS_LOW%20VARIANT.csv', 'WPP2015_MORT_F04_1_DEATHS_BY_AGE_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F04_1_DEATHS_BY_AGE_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv', 'WPP2015_MORT_F04_1_DEATHS_BY_AGE_BOTH_SEXESXLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F04_1_DEATHS_BY_AGE_BOTH_SEXESXLS_HIGH%20VARIANT.csv', 'WPP2015_MORT_F04_1_DEATHS_BY_AGE_BOTH_SEXESXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F04_1_DEATHS_BY_AGE_BOTH_SEXESXLS_ESTIMATES.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Deaths by Age Groups - Both Sexes (XLS, 8.4 MB)\\n\\nNumber of deaths by five-year age groups. Data are presented in thousands.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/3_Mortality/WPP2015_MORT_F04_1_DEATHS_BY_AGE_BOTH_SEXES.XLS'}\n",
      "200\n",
      "{'title': 'UN: Deaths by Age Groups - Mal', 'license': 'Other', 'description': 'Number of male deaths by five-year age groups. Data are presented in thousands.', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'mortality', 'indicators', 'mortalityindicators'], 'files': {'WPP2015_MORT_F04_2_DEATHS_BY_AGE_MALEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F04_2_DEATHS_BY_AGE_MALEXLS_MEDIUM%20VARIANT.csv', 'WPP2015_MORT_F04_2_DEATHS_BY_AGE_MALEXLS_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F04_2_DEATHS_BY_AGE_MALEXLS_HIGH%20VARIANT.csv', 'WPP2015_MORT_F04_2_DEATHS_BY_AGE_MALEXLS_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F04_2_DEATHS_BY_AGE_MALEXLS_LOW%20VARIANT.csv', 'WPP2015_MORT_F04_2_DEATHS_BY_AGE_MALEXLS_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F04_2_DEATHS_BY_AGE_MALEXLS_CONSTANT-FERTILITY.csv', 'WPP2015_MORT_F04_2_DEATHS_BY_AGE_MALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F04_2_DEATHS_BY_AGE_MALEXLS_ESTIMATES.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Deaths by Age Groups - Male (XLS, 8.39 MB)\\n\\nNumber of male deaths by five-year age groups. Data are presented in thousands.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/3_Mortality/WPP2015_MORT_F04_2_DEATHS_BY_AGE_MALE.XLS'}\n",
      "200\n",
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      "200\n",
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      "{'title': 'UN: 60q0 - Male (XLS, 210 KB)', 'license': 'Other', 'description': 'Mortality before age 60: Probability of Dying between Age 0 and Age 60 (60q0) - Male. It is expressed as deaths under ag', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'mortality', 'indicators', 'mortalityindicators'], 'files': {'WPP2015_MORT_F09_2_Q0060_MALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F09_2_Q0060_MALEXLS_ESTIMATES.csv', 'WPP2015_MORT_F09_2_Q0060_MALEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F09_2_Q0060_MALEXLS_MEDIUM%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: 60q0 - Male (XLS, 210 KB)\\n\\nMortality before age 60: Probability of Dying between Age 0 and Age 60 (60q0) - Male. It is expressed as deaths under age 60 per 1,000 live births.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/3_Mortality/WPP2015_MORT_F09_2_Q0060_MALE.XLS'}\n",
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      "{'title': 'UN: Life Expectancy at Age 60 ', 'license': 'Other', 'description': 'The average number of remaining years of life expected by a hypothetical cohort of males alive at age 60 who would be su', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'mortality', 'indicators', 'mortalityindicators'], 'files': {'WPP2015_MORT_F13_2_LIFE_EXPECTANCY_60_MALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F13_2_LIFE_EXPECTANCY_60_MALEXLS_ESTIMATES.csv', 'WPP2015_MORT_F13_2_LIFE_EXPECTANCY_60_MALEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F13_2_LIFE_EXPECTANCY_60_MALEXLS_MEDIUM%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Life Expectancy at Age 60 (e60) - Male (XLS, 210 KB)\\n\\nThe average number of remaining years of life expected by a hypothetical cohort of males alive at age 60 who would be subject during the remaining of their lives to the mortality rates of a given period. It is expressed as years.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/3_Mortality/WPP2015_MORT_F13_2_LIFE_EXPECTANCY_60_MALE.XLS'}\n",
      "(400)\n",
      "Reason: Bad Request\n",
      "HTTP response headers: HTTPHeaderDict({'Server': 'nginx/1.8.1', 'Content-Length': '124', 'Date': 'Mon, 10 Apr 2017 00:10:40 GMT', 'Connection': 'keep-alive', 'Content-Type': 'application/json'})\n",
      "HTTP response body: {\"code\":400,\"message\":\"Attempted to create an entity that already exists.\",\"details\":\"d2c60c9c-aeae-4ee6-a484-20e465dbe931\"}\n",
      "\n",
      "200\n",
      "{'title': 'UN: Life Expectancy at Age 60 ', 'license': 'Other', 'description': 'The average number of remaining years of life expected by a hypothetical cohort of females alive at age 60 who would be ', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'mortality', 'indicators', 'mortalityindicators'], 'files': {'WPP2015_MORT_F13_3_LIFE_EXPECTANCY_60_FEMALEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F13_3_LIFE_EXPECTANCY_60_FEMALEXLS_MEDIUM%20VARIANT.csv', 'WPP2015_MORT_F13_3_LIFE_EXPECTANCY_60_FEMALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F13_3_LIFE_EXPECTANCY_60_FEMALEXLS_ESTIMATES.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Life Expectancy at Age 60 (e60) - Female (XLS, 210 KB)\\n\\nThe average number of remaining years of life expected by a hypothetical cohort of females alive at age 60 who would be subject during the remaining of their lives to the mortality rates of a given period. It is expressed as years.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/3_Mortality/WPP2015_MORT_F13_3_LIFE_EXPECTANCY_60_FEMALE.XLS'}\n",
      "(400)\n",
      "Reason: Bad Request\n",
      "HTTP response headers: HTTPHeaderDict({'Server': 'nginx/1.8.1', 'Content-Length': '124', 'Date': 'Mon, 10 Apr 2017 00:10:44 GMT', 'Connection': 'keep-alive', 'Content-Type': 'application/json'})\n",
      "HTTP response body: {\"code\":400,\"message\":\"Attempted to create an entity that already exists.\",\"details\":\"cc795bfc-509b-41f8-b2ba-77c82515470e\"}\n",
      "\n",
      "200\n",
      "{'title': 'UN: Life Expectancy at Age 80 ', 'license': 'Other', 'description': 'The average number of remaining years of life expected by a hypothetical cohort of individuals alive at age 80 who would', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'mortality', 'indicators', 'mortalityindicators'], 'files': {'WPP2015_MORT_F14_1_LIFE_EXPECTANCY_80_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F14_1_LIFE_EXPECTANCY_80_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv', 'WPP2015_MORT_F14_1_LIFE_EXPECTANCY_80_BOTH_SEXESXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F14_1_LIFE_EXPECTANCY_80_BOTH_SEXESXLS_ESTIMATES.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Life Expectancy at Age 80 (e80) - Both Sexes (XLS, 212 KB)\\n\\nThe average number of remaining years of life expected by a hypothetical cohort of individuals alive at age 80 who would be subject during the remaining of their lives to the mortality rates of a given period. It is expressed as years.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/3_Mortality/WPP2015_MORT_F14_1_LIFE_EXPECTANCY_80_BOTH_SEXES.XLS'}\n",
      "200\n",
      "{'title': 'UN: Life Expectancy at Age 80 ', 'license': 'Other', 'description': 'The average number of remaining years of life expected by a hypothetical cohort of males alive at age 80 who would be su', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'mortality', 'indicators', 'mortalityindicators'], 'files': {'WPP2015_MORT_F14_2_LIFE_EXPECTANCY_80_MALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F14_2_LIFE_EXPECTANCY_80_MALEXLS_ESTIMATES.csv', 'WPP2015_MORT_F14_2_LIFE_EXPECTANCY_80_MALEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F14_2_LIFE_EXPECTANCY_80_MALEXLS_MEDIUM%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Life Expectancy at Age 80 (e80) - Male (XLS, 210 KB)\\n\\nThe average number of remaining years of life expected by a hypothetical cohort of males alive at age 80 who would be subject during the remaining of their lives to the mortality rates of a given period. It is expressed as years.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/3_Mortality/WPP2015_MORT_F14_2_LIFE_EXPECTANCY_80_MALE.XLS'}\n",
      "(400)\n",
      "Reason: Bad Request\n",
      "HTTP response headers: HTTPHeaderDict({'Server': 'nginx/1.8.1', 'Content-Length': '124', 'Date': 'Mon, 10 Apr 2017 00:10:52 GMT', 'Connection': 'keep-alive', 'Content-Type': 'application/json'})\n",
      "HTTP response body: {\"code\":400,\"message\":\"Attempted to create an entity that already exists.\",\"details\":\"37a0ea85-59d3-44cd-a180-f7aa168e2637\"}\n",
      "\n",
      "200\n",
      "{'title': 'UN: Life Expectancy at Age 80 ', 'license': 'Other', 'description': 'The average number of remaining years of life expected by a hypothetical cohort of females alive at age 80 who would be ', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'mortality', 'indicators', 'mortalityindicators'], 'files': {'WPP2015_MORT_F14_3_LIFE_EXPECTANCY_80_FEMALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F14_3_LIFE_EXPECTANCY_80_FEMALEXLS_ESTIMATES.csv', 'WPP2015_MORT_F14_3_LIFE_EXPECTANCY_80_FEMALEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F14_3_LIFE_EXPECTANCY_80_FEMALEXLS_MEDIUM%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Life Expectancy at Age 80 (e80) - Female (XLS, 210 KB)\\n\\nThe average number of remaining years of life expected by a hypothetical cohort of females alive at age 80 who would be subject during the remaining of their lives to the mortality rates of a given period. It is expressed as years.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/3_Mortality/WPP2015_MORT_F14_3_LIFE_EXPECTANCY_80_FEMALE.XLS'}\n",
      "(400)\n",
      "Reason: Bad Request\n",
      "HTTP response headers: HTTPHeaderDict({'Server': 'nginx/1.8.1', 'Content-Length': '124', 'Date': 'Mon, 10 Apr 2017 00:10:55 GMT', 'Connection': 'keep-alive', 'Content-Type': 'application/json'})\n",
      "HTTP response body: {\"code\":400,\"message\":\"Attempted to create an entity that already exists.\",\"details\":\"fe51dc1f-325f-4434-a900-f1bdb29ab8fb\"}\n",
      "\n",
      "200\n",
      "{'title': 'UN: Life table survivors (lx) ', 'license': 'Other', 'description': 'Number of survivors by age for a hypothetical cohort of 100,000 newborns who would be subject during all their lives to ', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'mortality', 'indicators', 'mortalityindicators'], 'files': {'WPP2015_MORT_F15_1_LIFE_TABLE_SURVIVORS_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F15_1_LIFE_TABLE_SURVIVORS_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv', 'WPP2015_MORT_F15_1_LIFE_TABLE_SURVIVORS_BOTH_SEXESXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F15_1_LIFE_TABLE_SURVIVORS_BOTH_SEXESXLS_ESTIMATES.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Life table survivors (lx) at exact age x - Both Sexes (XLS, 3.45 MB)\\n\\nNumber of survivors by age for a hypothetical cohort of 100,000 newborns who would be subject during all their lives to the mortality rates of a given period.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/3_Mortality/WPP2015_MORT_F15_1_LIFE_TABLE_SURVIVORS_BOTH_SEXES.XLS'}\n",
      "200\n",
      "{'title': 'UN: Life table survivors (lx) ', 'license': 'Other', 'description': 'Number of survivors by age for a hypothetical cohort of 100,000 male newborns who would be subject during all their live', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'mortality', 'indicators', 'mortalityindicators'], 'files': {'WPP2015_MORT_F15_2_LIFE_TABLE_SURVIVORS_MALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F15_2_LIFE_TABLE_SURVIVORS_MALEXLS_ESTIMATES.csv', 'WPP2015_MORT_F15_2_LIFE_TABLE_SURVIVORS_MALEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F15_2_LIFE_TABLE_SURVIVORS_MALEXLS_MEDIUM%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Life table survivors (lx) at exact age x - Male (XLS, 3.4 MB)\\n\\nNumber of survivors by age for a hypothetical cohort of 100,000 male newborns who would be subject during all their lives to the mortality rates of a given period.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/3_Mortality/WPP2015_MORT_F15_2_LIFE_TABLE_SURVIVORS_MALE.XLS'}\n",
      "(400)\n",
      "Reason: Bad Request\n",
      "HTTP response headers: HTTPHeaderDict({'Server': 'nginx/1.8.1', 'Content-Length': '124', 'Date': 'Mon, 10 Apr 2017 00:11:23 GMT', 'Connection': 'keep-alive', 'Content-Type': 'application/json'})\n",
      "HTTP response body: {\"code\":400,\"message\":\"Attempted to create an entity that already exists.\",\"details\":\"d45d8687-b5f0-4801-8833-3b4874df9b99\"}\n",
      "\n",
      "200\n",
      "{'title': 'UN: Life table survivors (lx) ', 'license': 'Other', 'description': 'Number of survivors by age for a hypothetical cohort of 100,000 female newborns who would be subject during all their li', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'mortality', 'indicators', 'mortalityindicators'], 'files': {'WPP2015_MORT_F15_3_LIFE_TABLE_SURVIVORS_FEMALEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F15_3_LIFE_TABLE_SURVIVORS_FEMALEXLS_MEDIUM%20VARIANT.csv', 'WPP2015_MORT_F15_3_LIFE_TABLE_SURVIVORS_FEMALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F15_3_LIFE_TABLE_SURVIVORS_FEMALEXLS_ESTIMATES.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Life table survivors (lx) at exact age x - Female (XLS, 3.4 MB)\\n\\nNumber of survivors by age for a hypothetical cohort of 100,000 female newborns who would be subject during all their lives to the mortality rates of a given period.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/3_Mortality/WPP2015_MORT_F15_3_LIFE_TABLE_SURVIVORS_FEMALE.XLS'}\n",
      "(400)\n",
      "Reason: Bad Request\n",
      "HTTP response headers: HTTPHeaderDict({'Server': 'nginx/1.8.1', 'Content-Length': '124', 'Date': 'Mon, 10 Apr 2017 00:11:31 GMT', 'Connection': 'keep-alive', 'Content-Type': 'application/json'})\n",
      "HTTP response body: {\"code\":400,\"message\":\"Attempted to create an entity that already exists.\",\"details\":\"5059729f-7b81-4db6-985a-3928eafb8a54\"}\n",
      "\n",
      "200\n",
      "{'title': 'UN: Life Expectancy at exact a', 'license': 'Other', 'description': 'The average number of remaining years of life expected by a hypothetical cohort of individuals alive at age x who would ', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'mortality', 'indicators', 'mortalityindicators'], 'files': {'WPP2015_MORT_F16_1_LIFE_EXPECTANCY_BY_AGE_BOTH_SEXESXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F16_1_LIFE_EXPECTANCY_BY_AGE_BOTH_SEXESXLS_ESTIMATES.csv', 'WPP2015_MORT_F16_1_LIFE_EXPECTANCY_BY_AGE_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F16_1_LIFE_EXPECTANCY_BY_AGE_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Life Expectancy at exact age x (ex) - Both Sexes (XLS, 3.48 MB)\\n\\nThe average number of remaining years of life expected by a hypothetical cohort of individuals alive at age x who would be subject during the remaining of their lives to the mortality rates of a given period. It is expressed as years.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/3_Mortality/WPP2015_MORT_F16_1_LIFE_EXPECTANCY_BY_AGE_BOTH_SEXES.XLS'}\n",
      "200\n",
      "{'title': 'UN: Life Expectancy at exact a', 'license': 'Other', 'description': 'The average number of remaining years of life expected by a hypothetical cohort of males alive at age x who would be sub', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'mortality', 'indicators', 'mortalityindicators'], 'files': {'WPP2015_MORT_F16_2_LIFE_EXPECTANCY_BY_AGE_MALEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F16_2_LIFE_EXPECTANCY_BY_AGE_MALEXLS_MEDIUM%20VARIANT.csv', 'WPP2015_MORT_F16_2_LIFE_EXPECTANCY_BY_AGE_MALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F16_2_LIFE_EXPECTANCY_BY_AGE_MALEXLS_ESTIMATES.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Life Expectancy at exact age x (ex) - Male (XLS, 3.46 MB)\\n\\nThe average number of remaining years of life expected by a hypothetical cohort of males alive at age x who would be subject during the remaining of their lives to the mortality rates of a given period. It is expressed as years.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/3_Mortality/WPP2015_MORT_F16_2_LIFE_EXPECTANCY_BY_AGE_MALE.XLS'}\n",
      "(400)\n",
      "Reason: Bad Request\n",
      "HTTP response headers: HTTPHeaderDict({'Server': 'nginx/1.8.1', 'Content-Length': '124', 'Date': 'Mon, 10 Apr 2017 00:11:55 GMT', 'Connection': 'keep-alive', 'Content-Type': 'application/json'})\n",
      "HTTP response body: {\"code\":400,\"message\":\"Attempted to create an entity that already exists.\",\"details\":\"c1fc0bdf-081c-470d-9138-afd75fb00e12\"}\n",
      "\n",
      "200\n",
      "{'title': 'UN: Life Expectancy at exact a', 'license': 'Other', 'description': 'The average number of remaining years of life expected by a hypothetical cohort of females alive at age x who would be s', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'mortality', 'indicators', 'mortalityindicators'], 'files': {'WPP2015_MORT_F16_3_LIFE_EXPECTANCY_BY_AGE_FEMALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F16_3_LIFE_EXPECTANCY_BY_AGE_FEMALEXLS_ESTIMATES.csv', 'WPP2015_MORT_F16_3_LIFE_EXPECTANCY_BY_AGE_FEMALEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F16_3_LIFE_EXPECTANCY_BY_AGE_FEMALEXLS_MEDIUM%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Life Expectancy at exact age x (ex) - female (XLS, 3.46 MB)\\n\\nThe average number of remaining years of life expected by a hypothetical cohort of females alive at age x who would be subject during the remaining of their lives to the mortality rates of a given period. It is expressed as years.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/3_Mortality/WPP2015_MORT_F16_3_LIFE_EXPECTANCY_BY_AGE_FEMALE.XLS'}\n",
      "(400)\n",
      "Reason: Bad Request\n",
      "HTTP response headers: HTTPHeaderDict({'Server': 'nginx/1.8.1', 'Content-Length': '124', 'Date': 'Mon, 10 Apr 2017 00:12:08 GMT', 'Connection': 'keep-alive', 'Content-Type': 'application/json'})\n",
      "HTTP response body: {\"code\":400,\"message\":\"Attempted to create an entity that already exists.\",\"details\":\"42ee7a3e-9468-46a4-b57a-c5dc44078c6d\"}\n",
      "\n",
      "200\n",
      "{'title': 'UN: Abridged Life Table - Both', 'license': 'Other', 'description': 'Abridged life tables up to age 85 for both sexes providing a set of values showing the mortality experience of a hypothe', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'mortality', 'indicators', 'mortalityindicators'], 'files': {'WPP2015_MORT_F17_1_ABRIDGED_LIFE_TABLE_BOTH_SEXESXLS_MEDIUM%202050-2100.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F17_1_ABRIDGED_LIFE_TABLE_BOTH_SEXESXLS_MEDIUM%202050-2100.csv', 'WPP2015_MORT_F17_1_ABRIDGED_LIFE_TABLE_BOTH_SEXESXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F17_1_ABRIDGED_LIFE_TABLE_BOTH_SEXESXLS_ESTIMATES.csv', 'WPP2015_MORT_F17_1_ABRIDGED_LIFE_TABLE_BOTH_SEXESXLS_MEDIUM%202015-2050.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F17_1_ABRIDGED_LIFE_TABLE_BOTH_SEXESXLS_MEDIUM%202015-2050.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Abridged Life Table - Both Sexes (XLS, 40.11 MB)\\n\\nAbridged life tables up to age 85 for both sexes providing a set of values showing the mortality experience of a hypothetical group of infants born at the same time and subject throughout their lifetime to the specific mortality rates of a given period. The following series are provided: age specific mortality rates (mx), probabilities of dying (qx), probabilities of surviving (px), number surviving (lx), number dying (dx), number of person-years lived (Lx),  survivorship ratios (Sx), cumulative stationary population (Tx), average remaining life expectancy (ex) and average number of years lived (ax).\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/3_Mortality/WPP2015_MORT_F17_1_ABRIDGED_LIFE_TABLE_BOTH_SEXES.XLS'}\n",
      "200\n",
      "{'title': 'UN: Abridged Life Table - Male', 'license': 'Other', 'description': 'Abridged life tables up to age 85 for male providing a set of values showing the mortality experience of a hypothetical ', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'mortality', 'indicators', 'mortalityindicators'], 'files': {'WPP2015_MORT_F17_2_ABRIDGED_LIFE_TABLE_MALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F17_2_ABRIDGED_LIFE_TABLE_MALEXLS_ESTIMATES.csv', 'WPP2015_MORT_F17_2_ABRIDGED_LIFE_TABLE_MALEXLS_MEDIUM%202015-2050.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F17_2_ABRIDGED_LIFE_TABLE_MALEXLS_MEDIUM%202015-2050.csv', 'WPP2015_MORT_F17_2_ABRIDGED_LIFE_TABLE_MALEXLS_MEDIUM%202050-2100.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F17_2_ABRIDGED_LIFE_TABLE_MALEXLS_MEDIUM%202050-2100.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Abridged Life Table - Male (XLS, 39.95 MB)\\n\\nAbridged life tables up to age 85 for male providing a set of values showing the mortality experience of a hypothetical group of infants born at the same time and subject throughout their lifetime to the specific mortality rates of a given period. The following series are provided: age specific mortality rates (mx), probabilities of dying (qx), probabilities of surviving (px), number surviving (lx), number dying (dx), number of person-years lived (Lx),  survivorship ratios (Sx), cumulative stationary population (Tx), average remaining life expectancy (ex) and average number of years lived (ax).\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/3_Mortality/WPP2015_MORT_F17_2_ABRIDGED_LIFE_TABLE_MALE.XLS'}\n",
      "200\n",
      "{'title': 'UN: Abridged Life Table - Fema', 'license': 'Other', 'description': 'Abridged life tables for female up to age 85 providing a set of values showing the mortality experience of a hypothetica', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'mortality', 'indicators', 'mortalityindicators'], 'files': {'WPP2015_MORT_F17_3_ABRIDGED_LIFE_TABLE_FEMALEXLS_MEDIUM%202050-2100.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F17_3_ABRIDGED_LIFE_TABLE_FEMALEXLS_MEDIUM%202050-2100.csv', 'WPP2015_MORT_F17_3_ABRIDGED_LIFE_TABLE_FEMALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F17_3_ABRIDGED_LIFE_TABLE_FEMALEXLS_ESTIMATES.csv', 'WPP2015_MORT_F17_3_ABRIDGED_LIFE_TABLE_FEMALEXLS_MEDIUM%202015-2050.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MORT_F17_3_ABRIDGED_LIFE_TABLE_FEMALEXLS_MEDIUM%202015-2050.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Abridged Life Table - Female (XLS, 39.96 MB)\\n\\nAbridged life tables for female up to age 85 providing a set of values showing the mortality experience of a hypothetical group of infants born at the same time and subject throughout their lifetime to the specific mortality rates of a given period. The following series are provided: age specific mortality rates (mx), probabilities of dying (qx), probabilities of surviving (px), number surviving (lx), number dying (dx), number of person-years lived (Lx),  survivorship ratios (Sx), cumulative stationary population (Tx), average remaining life expectancy (ex) and average number of years lived (ax).\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/3_Mortality/WPP2015_MORT_F17_3_ABRIDGED_LIFE_TABLE_FEMALE.XLS'}\n",
      "200\n",
      "{'title': 'UN: Net Number of Migrants (XL', 'license': 'Other', 'description': 'The net number of migrants, that is, the number of immigrants minus the number of emigrants. It is expressed as thousand', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'migration', 'indicators', 'migrationindicators'], 'files': {'WPP2015_MIGR_F02_NET_NUMBER_OF_MIGRANTSXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MIGR_F02_NET_NUMBER_OF_MIGRANTSXLS_MEDIUM%20VARIANT.csv', 'WPP2015_MIGR_F02_NET_NUMBER_OF_MIGRANTSXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MIGR_F02_NET_NUMBER_OF_MIGRANTSXLS_ESTIMATES.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Net Number of Migrants (XLS, 190 KB)\\n\\nThe net number of migrants, that is, the number of immigrants minus the number of emigrants. It is expressed as thousands.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/4_Migration/WPP2015_MIGR_F02_NET_NUMBER_OF_MIGRANTS.XLS'}\n",
      "200\n",
      "{'title': 'UN: Net Migration Rate (XLS, 2', 'license': 'Other', 'description': 'The number of immigrants minus the number of emigrants over a period, divided by the person-years lived by the populatio', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'migration', 'indicators', 'migrationindicators'], 'files': {'WPP2015_MIGR_F01_NET_MIGRATION_RATEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MIGR_F01_NET_MIGRATION_RATEXLS_ESTIMATES.csv', 'WPP2015_MIGR_F01_NET_MIGRATION_RATEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_MIGR_F01_NET_MIGRATION_RATEXLS_MEDIUM%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Net Migration Rate (XLS, 202 KB)\\n\\nThe number of immigrants minus the number of emigrants over a period, divided by the person-years lived by the population of the receiving country over that period. It is expressed as average annual net number of migrants per 1,000 population.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/4_Migration/WPP2015_MIGR_F01_NET_MIGRATION_RATE.XLS'}\n",
      "200\n",
      "{'title': 'UN: Annual Population by Age -', 'license': 'Other', 'description': 'Annual population by single age - Both Sexes. De facto population as of 1 July of the year indicated classified by singl', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'interpolated', 'indicators', 'interpolatedindicators'], 'files': {'WPP2015_INT_F03_1_POPULATION_BY_AGE_ANNUAL_BOTH_SEXESXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F03_1_POPULATION_BY_AGE_ANNUAL_BOTH_SEXESXLS_ESTIMATES.csv', 'WPP2015_INT_F03_1_POPULATION_BY_AGE_ANNUAL_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F03_1_POPULATION_BY_AGE_ANNUAL_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Annual Population by Age - Both Sexes (XLS, 65.74 MB)\\n\\nAnnual population by single age - Both Sexes. De facto population as of 1 July of the year indicated classified by single age (0, 1, 2, ..., 99, 100+). Data are presented in thousands.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/5_Interpolated/WPP2015_INT_F03_1_POPULATION_BY_AGE_ANNUAL_BOTH_SEXES.XLS'}\n",
      "200\n",
      "{'title': 'UN: Annual Population by Age -', 'license': 'Other', 'description': 'Annual population by single age - Male. De facto population as of 1 July of the year indicated classified by single age ', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'interpolated', 'indicators', 'interpolatedindicators'], 'files': {'WPP2015_INT_F03_2_POPULATION_BY_AGE_ANNUAL_MALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F03_2_POPULATION_BY_AGE_ANNUAL_MALEXLS_ESTIMATES.csv', 'WPP2015_INT_F03_2_POPULATION_BY_AGE_ANNUAL_MALEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F03_2_POPULATION_BY_AGE_ANNUAL_MALEXLS_MEDIUM%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Annual Population by Age - Male (XLS, 65.7 MB)\\n\\nAnnual population by single age - Male. De facto population as of 1 July of the year indicated classified by single age (0, 1, 2, ..., 99, 100+). Data are presented in thousands.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/5_Interpolated/WPP2015_INT_F03_2_POPULATION_BY_AGE_ANNUAL_MALE.XLS'}\n",
      "(400)\n",
      "Reason: Bad Request\n",
      "HTTP response headers: HTTPHeaderDict({'Server': 'nginx/1.8.1', 'Content-Length': '124', 'Date': 'Mon, 10 Apr 2017 00:20:24 GMT', 'Connection': 'keep-alive', 'Content-Type': 'application/json'})\n",
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      "{'title': 'UN: Annual Population by Age -', 'license': 'Other', 'description': 'Annual population by single age - Female. De facto population as of 1 July of the year indicated classified by single ag', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'interpolated', 'indicators', 'interpolatedindicators'], 'files': {'WPP2015_INT_F03_3_POPULATION_BY_AGE_ANNUAL_FEMALEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F03_3_POPULATION_BY_AGE_ANNUAL_FEMALEXLS_MEDIUM%20VARIANT.csv', 'WPP2015_INT_F03_3_POPULATION_BY_AGE_ANNUAL_FEMALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F03_3_POPULATION_BY_AGE_ANNUAL_FEMALEXLS_ESTIMATES.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Annual Population by Age - Female (XLS, 65.69 MB)\\n\\nAnnual population by single age - Female. De facto population as of 1 July of the year indicated classified by single age (0, 1, 2, ..., 99, 100+). Data are presented in thousands.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/5_Interpolated/WPP2015_INT_F03_3_POPULATION_BY_AGE_ANNUAL_FEMALE.XLS'}\n",
      "(400)\n",
      "Reason: Bad Request\n",
      "HTTP response headers: HTTPHeaderDict({'Server': 'nginx/1.8.1', 'Content-Length': '124', 'Date': 'Mon, 10 Apr 2017 00:22:18 GMT', 'Connection': 'keep-alive', 'Content-Type': 'application/json'})\n",
      "HTTP response body: {\"code\":400,\"message\":\"Attempted to create an entity that already exists.\",\"details\":\"b4aa9007-8442-4758-aef2-c17b48e3b529\"}\n",
      "\n",
      "200\n",
      "{'title': 'UN: Annual Demographic Indicat', 'license': 'Other', 'description': 'Annually interpolated demographic indicators.', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'interpolated', 'indicators', 'interpolatedindicators'], 'files': {'WPP2015_INT_F01_ANNUAL_DEMOGRAPHIC_INDICATORSXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F01_ANNUAL_DEMOGRAPHIC_INDICATORSXLS_ESTIMATES.csv', 'WPP2015_INT_F01_ANNUAL_DEMOGRAPHIC_INDICATORSXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F01_ANNUAL_DEMOGRAPHIC_INDICATORSXLS_MEDIUM%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Annual Demographic Indicators (XLS, 14.74 MB)\\n\\nAnnually interpolated demographic indicators.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/5_Interpolated/WPP2015_INT_F01_ANNUAL_DEMOGRAPHIC_INDICATORS.XLS'}\n",
      "200\n",
      "{'title': 'UN: Annual Population Indicato', 'license': 'Other', 'description': 'Annual total population (both sexes combined) by broad age groups. Data are presented in thousands.', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'interpolated', 'indicators', 'interpolatedindicators'], 'files': {'WPP2015_INT_F02A_1_ANNUAL_POPULATION_INDICATORS_BOTH_SEXESXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F02A_1_ANNUAL_POPULATION_INDICATORS_BOTH_SEXESXLS_ESTIMATES.csv', 'WPP2015_INT_F02A_1_ANNUAL_POPULATION_INDICATORS_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F02A_1_ANNUAL_POPULATION_INDICATORS_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Annual Population Indicators - Both Sexes (XLS, 38.71 MB)\\n\\nAnnual total population (both sexes combined) by broad age groups. Data are presented in thousands.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/5_Interpolated/WPP2015_INT_F02A_1_ANNUAL_POPULATION_INDICATORS_BOTH_SEXES.XLS'}\n",
      "200\n",
      "{'title': 'UN: Annual Population Indicato', 'license': 'Other', 'description': 'Annual male population by broad age groups. Data are presented in thousands.', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'interpolated', 'indicators', 'interpolatedindicators'], 'files': {'WPP2015_INT_F02A_2_ANNUAL_POPULATION_INDICATORS_MALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F02A_2_ANNUAL_POPULATION_INDICATORS_MALEXLS_ESTIMATES.csv', 'WPP2015_INT_F02A_2_ANNUAL_POPULATION_INDICATORS_MALEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F02A_2_ANNUAL_POPULATION_INDICATORS_MALEXLS_MEDIUM%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Annual Population Indicators - Male (XLS, 38.61 MB)\\n\\nAnnual male population by broad age groups. Data are presented in thousands.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/5_Interpolated/WPP2015_INT_F02A_2_ANNUAL_POPULATION_INDICATORS_MALE.XLS'}\n",
      "(400)\n",
      "Reason: Bad Request\n",
      "HTTP response headers: HTTPHeaderDict({'Server': 'nginx/1.8.1', 'Content-Length': '124', 'Date': 'Mon, 10 Apr 2017 00:24:58 GMT', 'Connection': 'keep-alive', 'Content-Type': 'application/json'})\n",
      "HTTP response body: {\"code\":400,\"message\":\"Attempted to create an entity that already exists.\",\"details\":\"2dd76342-c4e2-4e9f-b2ca-3bd7b1d8d7e3\"}\n",
      "\n",
      "200\n",
      "{'title': 'UN: Annual Population Indicato', 'license': 'Other', 'description': 'Annual female population by broad age groups. Data are presented in thousands.', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'interpolated', 'indicators', 'interpolatedindicators'], 'files': {'WPP2015_INT_F02A_3_ANNUAL_POPULATION_INDICATORS_FEMALEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F02A_3_ANNUAL_POPULATION_INDICATORS_FEMALEXLS_MEDIUM%20VARIANT.csv', 'WPP2015_INT_F02A_3_ANNUAL_POPULATION_INDICATORS_FEMALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F02A_3_ANNUAL_POPULATION_INDICATORS_FEMALEXLS_ESTIMATES.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Annual Population Indicators - Female (XLS, 38.61 MB)\\n\\nAnnual female population by broad age groups. Data are presented in thousands.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/5_Interpolated/WPP2015_INT_F02A_3_ANNUAL_POPULATION_INDICATORS_FEMALE.XLS'}\n",
      "(400)\n",
      "Reason: Bad Request\n",
      "HTTP response headers: HTTPHeaderDict({'Server': 'nginx/1.8.1', 'Content-Length': '124', 'Date': 'Mon, 10 Apr 2017 00:26:02 GMT', 'Connection': 'keep-alive', 'Content-Type': 'application/json'})\n",
      "HTTP response body: {\"code\":400,\"message\":\"Attempted to create an entity that already exists.\",\"details\":\"86b804f0-6480-4d30-a2bd-2daa816c8e73\"}\n",
      "\n",
      "200\n",
      "{'title': 'UN: Annual Population Indicato', 'license': 'Other', 'description': 'Percentage of annual total population (both sexes combined) by broad age group.', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'interpolated', 'indicators', 'interpolatedindicators'], 'files': {'WPP2015_INT_F02B_1_ANNUAL_POPULATION_INDICATORS_PERCENTAGE_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F02B_1_ANNUAL_POPULATION_INDICATORS_PERCENTAGE_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv', 'WPP2015_INT_F02B_1_ANNUAL_POPULATION_INDICATORS_PERCENTAGE_BOTH_SEXESXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F02B_1_ANNUAL_POPULATION_INDICATORS_PERCENTAGE_BOTH_SEXESXLS_ESTIMATES.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Annual Population Indicators Percentages - Both Sexes (XLS, 38.12 MB)\\n\\nPercentage of annual total population (both sexes combined) by broad age group.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/5_Interpolated/WPP2015_INT_F02B_1_ANNUAL_POPULATION_INDICATORS_PERCENTAGE_BOTH_SEXES.XLS'}\n",
      "(400)\n",
      "Reason: Bad Request\n",
      "HTTP response headers: HTTPHeaderDict({'Server': 'nginx/1.8.1', 'Content-Length': '124', 'Date': 'Mon, 10 Apr 2017 00:26:55 GMT', 'Connection': 'keep-alive', 'Content-Type': 'application/json'})\n",
      "HTTP response body: {\"code\":400,\"message\":\"Attempted to create an entity that already exists.\",\"details\":\"adef0139-f5b4-47e5-8569-7de49ae07dfd\"}\n",
      "\n",
      "200\n",
      "{'title': 'UN: Annual Population Indicato', 'license': 'Other', 'description': 'Percentage of annual male total population by broad age groups.', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'interpolated', 'indicators', 'interpolatedindicators'], 'files': {'WPP2015_INT_F02B_2_ANNUAL_POPULATION_INDICATORS_PERCENTAGE_MALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F02B_2_ANNUAL_POPULATION_INDICATORS_PERCENTAGE_MALEXLS_ESTIMATES.csv', 'WPP2015_INT_F02B_2_ANNUAL_POPULATION_INDICATORS_PERCENTAGE_MALEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F02B_2_ANNUAL_POPULATION_INDICATORS_PERCENTAGE_MALEXLS_MEDIUM%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Annual Population Indicators Percentages - Male (XLS, 38.13 MB)\\n\\nPercentage of annual male total population by broad age groups.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/5_Interpolated/WPP2015_INT_F02B_2_ANNUAL_POPULATION_INDICATORS_PERCENTAGE_MALE.XLS'}\n",
      "(400)\n",
      "Reason: Bad Request\n",
      "HTTP response headers: HTTPHeaderDict({'Server': 'nginx/1.8.1', 'Content-Length': '124', 'Date': 'Mon, 10 Apr 2017 00:27:49 GMT', 'Connection': 'keep-alive', 'Content-Type': 'application/json'})\n",
      "HTTP response body: {\"code\":400,\"message\":\"Attempted to create an entity that already exists.\",\"details\":\"0b986cf2-a4a5-4836-ab8b-b9421ad847ed\"}\n",
      "\n",
      "200\n",
      "{'title': 'UN: Annual Population Indicato', 'license': 'Other', 'description': 'Percentage of annual female total population by broad age groups.', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'interpolated', 'indicators', 'interpolatedindicators'], 'files': {'WPP2015_INT_F02B_3_ANNUAL_POPULATION_INDICATORS_PERCENTAGE_FEMALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F02B_3_ANNUAL_POPULATION_INDICATORS_PERCENTAGE_FEMALEXLS_ESTIMATES.csv', 'WPP2015_INT_F02B_3_ANNUAL_POPULATION_INDICATORS_PERCENTAGE_FEMALEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F02B_3_ANNUAL_POPULATION_INDICATORS_PERCENTAGE_FEMALEXLS_MEDIUM%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Annual Population Indicators Percentages - Female (XLS, 38.12 MB)\\n\\nPercentage of annual female total population by broad age groups.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/5_Interpolated/WPP2015_INT_F02B_3_ANNUAL_POPULATION_INDICATORS_PERCENTAGE_FEMALE.XLS'}\n",
      "(400)\n",
      "Reason: Bad Request\n",
      "HTTP response headers: HTTPHeaderDict({'Server': 'nginx/1.8.1', 'Content-Length': '124', 'Date': 'Mon, 10 Apr 2017 00:28:47 GMT', 'Connection': 'keep-alive', 'Content-Type': 'application/json'})\n",
      "HTTP response body: {\"code\":400,\"message\":\"Attempted to create an entity that already exists.\",\"details\":\"15badda9-f180-4129-8fe6-38db931d4860\"}\n",
      "\n",
      "200\n",
      "{'title': 'UN: Annual Population Dependen', 'license': 'Other', 'description': 'Annual dependency ratios (total, child, old-age) for different age groups and for both sexes combined.', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'interpolated', 'indicators', 'interpolatedindicators'], 'files': {'WPP2015_INT_F02C_1_ANNUAL_POPULATION_INDICATORS_DEPENDENCY_RATIOS_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F02C_1_ANNUAL_POPULATION_INDICATORS_DEPENDENCY_RATIOS_BOTH_SEXESXLS_MEDIUM%20VARIANT.csv', 'WPP2015_INT_F02C_1_ANNUAL_POPULATION_INDICATORS_DEPENDENCY_RATIOS_BOTH_SEXESXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F02C_1_ANNUAL_POPULATION_INDICATORS_DEPENDENCY_RATIOS_BOTH_SEXESXLS_ESTIMATES.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Annual Population Dependency Ratios - Both Sexes (XLS, 15.42 MB)\\n\\nAnnual dependency ratios (total, child, old-age) for different age groups and for both sexes combined.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/5_Interpolated/WPP2015_INT_F02C_1_ANNUAL_POPULATION_INDICATORS_DEPENDENCY_RATIOS_BOTH_SEXES.XLS'}\n",
      "200\n",
      "{'title': 'UN: Annual Population Dependen', 'license': 'Other', 'description': 'Annual male dependency ratios (total, child, old-age) for different age groups.', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'interpolated', 'indicators', 'interpolatedindicators'], 'files': {'WPP2015_INT_F02C_2_ANNUAL_POPULATION_INDICATORS_DEPENDENCY_RATIOS_MALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F02C_2_ANNUAL_POPULATION_INDICATORS_DEPENDENCY_RATIOS_MALEXLS_ESTIMATES.csv', 'WPP2015_INT_F02C_2_ANNUAL_POPULATION_INDICATORS_DEPENDENCY_RATIOS_MALEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F02C_2_ANNUAL_POPULATION_INDICATORS_DEPENDENCY_RATIOS_MALEXLS_MEDIUM%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Annual Population Dependency Ratios - Male (XLS, 15.41 MB)\\n\\nAnnual male dependency ratios (total, child, old-age) for different age groups.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/5_Interpolated/WPP2015_INT_F02C_2_ANNUAL_POPULATION_INDICATORS_DEPENDENCY_RATIOS_MALE.XLS'}\n",
      "(400)\n",
      "Reason: Bad Request\n",
      "HTTP response headers: HTTPHeaderDict({'Server': 'nginx/1.8.1', 'Content-Length': '124', 'Date': 'Mon, 10 Apr 2017 00:29:41 GMT', 'Connection': 'keep-alive', 'Content-Type': 'application/json'})\n",
      "HTTP response body: {\"code\":400,\"message\":\"Attempted to create an entity that already exists.\",\"details\":\"122e4b7b-ecd5-47ca-b1fc-779961d693a6\"}\n",
      "\n",
      "200\n",
      "{'title': 'UN: Annual Population Dependen', 'license': 'Other', 'description': 'Annual female dependency ratios (total, child, old-age) for different age groups.', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'interpolated', 'indicators', 'interpolatedindicators'], 'files': {'WPP2015_INT_F02C_3_ANNUAL_POPULATION_INDICATORS_DEPENDENCY_RATIOS_FEMALEXLS_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F02C_3_ANNUAL_POPULATION_INDICATORS_DEPENDENCY_RATIOS_FEMALEXLS_ESTIMATES.csv', 'WPP2015_INT_F02C_3_ANNUAL_POPULATION_INDICATORS_DEPENDENCY_RATIOS_FEMALEXLS_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_INT_F02C_3_ANNUAL_POPULATION_INDICATORS_DEPENDENCY_RATIOS_FEMALEXLS_MEDIUM%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Annual Population Dependency Ratios - Female (XLS, 15.42 MB)\\n\\nAnnual female dependency ratios (total, child, old-age) for different age groups.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/5_Interpolated/WPP2015_INT_F02C_3_ANNUAL_POPULATION_INDICATORS_DEPENDENCY_RATIOS_FEMALE.XLS'}\n",
      "(400)\n",
      "Reason: Bad Request\n",
      "HTTP response headers: HTTPHeaderDict({'Server': 'nginx/1.8.1', 'Content-Length': '124', 'Date': 'Mon, 10 Apr 2017 00:30:10 GMT', 'Connection': 'keep-alive', 'Content-Type': 'application/json'})\n",
      "HTTP response body: {\"code\":400,\"message\":\"Attempted to create an entity that already exists.\",\"details\":\"0a73e71c-ab00-4bbf-82d2-2b63ec14d83f\"}\n",
      "\n",
      "200\n",
      "{'title': 'UN: Total Population - Both Se', 'license': 'Other', 'description': 'Total Population - Both Sexes. De facto population as of 1 July of the year indicated. Figures are presented in thousand', 'visibility': 'OPEN', 'tags': ['un', 'unitednations', 'errata', 'errata'], 'files': {'WPP2015_ERRATA_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESxls_INSTANT-REPLACEMENT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_ERRATA_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESxls_INSTANT-REPLACEMENT.csv', 'WPP2015_ERRATA_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESxls_ESTIMATES.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_ERRATA_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESxls_ESTIMATES.csv', 'WPP2015_ERRATA_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESxls_ZERO-MIGRATION.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_ERRATA_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESxls_ZERO-MIGRATION.csv', 'WPP2015_ERRATA_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESxls_MEDIUM%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_ERRATA_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESxls_MEDIUM%20VARIANT.csv', 'WPP2015_ERRATA_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESxls_NO%20CHANGE.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_ERRATA_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESxls_NO%20CHANGE.csv', 'WPP2015_ERRATA_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESxls_CONSTANT-FERTILITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_ERRATA_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESxls_CONSTANT-FERTILITY.csv', 'WPP2015_ERRATA_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESxls_LOW%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_ERRATA_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESxls_LOW%20VARIANT.csv', 'WPP2015_ERRATA_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESxls_CONSTANT-MORTALITY.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_ERRATA_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESxls_CONSTANT-MORTALITY.csv', 'WPP2015_ERRATA_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESxls_HIGH%20VARIANT.csv': 'https://brianray.s3.amazonaws.com:443/WPP2015_ERRATA_POP_F01_1_TOTAL_POPULATION_BOTH_SEXESxls_HIGH%20VARIANT.csv'}, 'owner_id': 'brianray', 'summary': 'created from: https://github.com/brianray/data.world-scripts/blob/master/United%20Nations%20data.world%20uploads.ipynb\\n\\n\\n### UN: Total Population - Both Sexes (XLS, 94 KB)\\n\\nTotal Population - Both Sexes. De facto population as of 1 July of the year indicated. Figures are presented in thousands.\\n\\n### from\\n\\nhttps://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/6_Errata_Malaysia/WPP2015_ERRATA_POP_F01_1_TOTAL_POPULATION_BOTH_SEXES.xls'}\n",
      "(400)\n",
      "Reason: Bad Request\n",
      "HTTP response headers: HTTPHeaderDict({'Server': 'nginx/1.8.1', 'Content-Length': '124', 'Date': 'Mon, 10 Apr 2017 00:30:19 GMT', 'Connection': 'keep-alive', 'Content-Type': 'application/json'})\n",
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      "200\n",
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      "(400)\n",
      "Reason: Bad Request\n",
      "HTTP response headers: HTTPHeaderDict({'Server': 'nginx/1.8.1', 'Content-Length': '124', 'Date': 'Mon, 10 Apr 2017 00:30:26 GMT', 'Connection': 'keep-alive', 'Content-Type': 'application/json'})\n",
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      "(400)\n",
      "Reason: Bad Request\n",
      "HTTP response headers: HTTPHeaderDict({'Server': 'nginx/1.8.1', 'Content-Length': '124', 'Date': 'Mon, 10 Apr 2017 00:30:32 GMT', 'Connection': 'keep-alive', 'Content-Type': 'application/json'})\n",
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      "(400)\n",
      "Reason: Bad Request\n",
      "HTTP response headers: HTTPHeaderDict({'Server': 'nginx/1.8.1', 'Content-Length': '124', 'Date': 'Mon, 10 Apr 2017 00:30:40 GMT', 'Connection': 'keep-alive', 'Content-Type': 'application/json'})\n",
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      "(400)\n",
      "Reason: Bad Request\n",
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      "(400)\n",
      "Reason: Bad Request\n",
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      "\u001b[0;31mXLRDError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-153-58ca95c5b364>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmain\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-152-6b7df961cf88>\u001b[0m in \u001b[0;36mmain\u001b[0;34m()\u001b[0m\n\u001b[1;32m     13\u001b[0m             \u001b[0mtags\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfile_group_dict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'MajorGroup'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreplace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\" \"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m             \u001b[0mpath\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"{}{}\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhost\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0murllib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mquote\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfile_group_dict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'File1_Path'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 15\u001b[0;31m             \u001b[0mfile_paths\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msave\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     16\u001b[0m             save_to_dataworld(\"UN: {}\".format(file_group_dict['File1_Title']),\n\u001b[1;32m     17\u001b[0m                               \u001b[0mfile_group_dict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Description'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-102-07288f4a9ab1>\u001b[0m in \u001b[0;36msave\u001b[0;34m(url)\u001b[0m\n\u001b[1;32m      7\u001b[0m         \u001b[0mf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontent\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mrun_extraction\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfile_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     10\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;31m#url = \"https://esa.un.org/unpd/wpp/DVD/Files/1_Indicators%20%28Standard%29/EXCEL_FILES/1_Population/WPP2015_POP_F01_1_TOTAL_POPULATION_BOTH_SEXES.XLS\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-125-7af4119e0c08>\u001b[0m in \u001b[0;36mrun_extraction\u001b[0;34m(filepath)\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mrun_extraction\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m     \u001b[0mdata_dict\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mextract_sheets\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m     \u001b[0mout_urls\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mv\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mdata_dict\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m         \u001b[0mout_url\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msave_to_s3\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mv\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-81-0fd5dfc253da>\u001b[0m in \u001b[0;36mextract_sheets\u001b[0;34m(filepath)\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mextract_sheets\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m     \u001b[0mxl_workbook\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mxlrd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen_workbook\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m     \u001b[0mout_data\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0msheet\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mxl_workbook\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msheet_names\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m         \u001b[0min_context\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/brray/anaconda2/anaconda/envs/py3k/lib/python3.5/site-packages/xlrd/__init__.py\u001b[0m in \u001b[0;36mopen_workbook\u001b[0;34m(filename, logfile, verbosity, use_mmap, file_contents, encoding_override, formatting_info, on_demand, ragged_rows)\u001b[0m\n\u001b[1;32m    427\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;34m'content.xml'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcomponent_names\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    428\u001b[0m             \u001b[0;32mraise\u001b[0m \u001b[0mXLRDError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Openoffice.org ODS file; not supported'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 429\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mXLRDError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'ZIP file contents not a known type of workbook'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    430\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    431\u001b[0m     \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mbook\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mXLRDError\u001b[0m: ZIP file contents not a known type of workbook"
     ]
    }
   ],
   "source": [
    "main()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
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   "language": "python",
   "name": "Python [py3k]"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
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