calculations.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Calculations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import requests\n",
    "import json\n",
    "import matplotlib.pyplot as plt\n",
    "from datetime import datetime\n",
    "%matplotlib inline\n",
    "plt.style.use('ggplot')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First we want to select all [members](https://www.wikidata.org/wiki/Property:P463) the [European Union](https://www.wikidata.org/wiki/Q458) and the [European Free Trade Association](https://www.wikidata.org/wiki/Q166546). A great way to start of is by using the [Wikipedia Query Service](https://query.wikidata.org/) and using the [Cats](https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service/queries/examples#Cats) example and continue editing from there. Let's start by selecting all countries in Europe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Ireland', 'Hungary', 'Spain', 'Belgium', 'Luxembourg', 'Finland', 'Sweden', 'Denmark', 'Poland', 'Lithuania', 'Italy', 'Austria', 'Greece', 'Portugal', 'France', 'United Kingdom', 'Germany', 'Estonia', 'Latvia', 'Czech Republic', 'Slovakia', 'Slovenia', 'Romania', 'Bulgaria', 'Croatia', 'Cyprus', 'Malta', 'Kingdom of the Netherlands']\n",
      "Length : 28\n"
     ]
    }
   ],
   "source": [
    "url = 'https://query.wikidata.org/sparql'\n",
    "query = \"\"\"\n",
    "SELECT ?country ?countryLabel WHERE {\n",
    "  ?country wdt:P463 wd:Q458.\n",
    "  SERVICE wikibase:label { \n",
    "    bd:serviceParam wikibase:language \"[AUTO_LANGUAGE],en\". \n",
    "  }\n",
    "}\n",
    "\"\"\"\n",
    "r = requests.get(url, params = {'format': 'json', 'query': query})\n",
    "data = r.json()\n",
    "\n",
    "country_list = [entry['countryLabel']['value'] for entry in data['results']['bindings']]\n",
    "print(country_list)\n",
    "print('Length :', len(country_list))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we want to apply a [`UNION`](https://en.wikibooks.org/wiki/SPARQL/UNION) to get countries from both the European Union and European Free Trade Association. Additionally we want to remove doubles that occur through the union, by using the `DISTINCT` modifier before `SELECT`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Ireland', 'Spain', 'Poland', 'Switzerland', 'United Kingdom', 'Iceland', 'Luxembourg', 'Romania', 'Germany', 'Malta', 'Austria', 'Denmark', 'Italy', 'Croatia', 'Cyprus', 'Estonia', 'Greece', 'Finland', 'Norway', 'France', 'Belgium', 'Lithuania', 'Portugal', 'Sweden', 'Hungary', 'Bulgaria', 'Slovakia', 'Slovenia', 'Latvia', 'Czech Republic', 'Liechtenstein', 'Kingdom of the Netherlands']\n",
      "Length : 32\n"
     ]
    }
   ],
   "source": [
    "url = 'https://query.wikidata.org/sparql'\n",
    "query = \"\"\"\n",
    "SELECT DISTINCT ?country ?countryLabel \n",
    "WHERE \n",
    "{\n",
    "  {?country wdt:P463 wd:Q166546} UNION {?country wdt:P463 wd:Q458}\n",
    "  SERVICE wikibase:label { \n",
    "    bd:serviceParam wikibase:language \"[AUTO_LANGUAGE],en\". \n",
    "  }\n",
    "}\n",
    "\"\"\"\n",
    "r = requests.get(url, params = {'format': 'json', 'query': query})\n",
    "data = r.json()\n",
    "\n",
    "country_list = [entry['countryLabel']['value'] for entry in data['results']['bindings']]\n",
    "print(country_list)\n",
    "print('Length :', len(country_list))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's define a utils function in [utils.py](utils.py) that returns a Pandas DataFrame with all the columns from the Wikidata query. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>countryLabel</th>\n",
       "      <th>capital</th>\n",
       "      <th>capitalLabel</th>\n",
       "      <th>mayor</th>\n",
       "      <th>mayorLabel</th>\n",
       "      <th>birth</th>\n",
       "      <th>age</th>\n",
       "      <th>population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>http://www.wikidata.org/entity/Q39</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>http://www.wikidata.org/entity/Q70</td>\n",
       "      <td>Bern</td>\n",
       "      <td>http://www.wikidata.org/entity/Q121896</td>\n",
       "      <td>Alec von Graffenried</td>\n",
       "      <td>1962-08-16</td>\n",
       "      <td>56</td>\n",
       "      <td>141833.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>http://www.wikidata.org/entity/Q45</td>\n",
       "      <td>Portugal</td>\n",
       "      <td>http://www.wikidata.org/entity/Q597</td>\n",
       "      <td>Lisbon</td>\n",
       "      <td>http://www.wikidata.org/entity/Q20017756</td>\n",
       "      <td>Fernando Medina</td>\n",
       "      <td>1973-03-10</td>\n",
       "      <td>45</td>\n",
       "      <td>506892.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>http://www.wikidata.org/entity/Q35</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>http://www.wikidata.org/entity/Q1748</td>\n",
       "      <td>Copenhagen</td>\n",
       "      <td>http://www.wikidata.org/entity/Q113921</td>\n",
       "      <td>Frank Jensen</td>\n",
       "      <td>1961-05-28</td>\n",
       "      <td>57</td>\n",
       "      <td>602481.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>http://www.wikidata.org/entity/Q215</td>\n",
       "      <td>Slovenia</td>\n",
       "      <td>http://www.wikidata.org/entity/Q437</td>\n",
       "      <td>Ljubljana</td>\n",
       "      <td>http://www.wikidata.org/entity/Q220521</td>\n",
       "      <td>Zoran Janković</td>\n",
       "      <td>1953-01-01</td>\n",
       "      <td>65</td>\n",
       "      <td>280310.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>http://www.wikidata.org/entity/Q229</td>\n",
       "      <td>Cyprus</td>\n",
       "      <td>http://www.wikidata.org/entity/Q3856</td>\n",
       "      <td>Nicosia</td>\n",
       "      <td>http://www.wikidata.org/entity/Q16331287</td>\n",
       "      <td>Constantinos Yiorkadjis</td>\n",
       "      <td>1968-01-01</td>\n",
       "      <td>50</td>\n",
       "      <td>330000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               country countryLabel  \\\n",
       "0   http://www.wikidata.org/entity/Q39  Switzerland   \n",
       "1   http://www.wikidata.org/entity/Q45     Portugal   \n",
       "2   http://www.wikidata.org/entity/Q35      Denmark   \n",
       "3  http://www.wikidata.org/entity/Q215     Slovenia   \n",
       "4  http://www.wikidata.org/entity/Q229       Cyprus   \n",
       "\n",
       "                                capital capitalLabel  \\\n",
       "0    http://www.wikidata.org/entity/Q70         Bern   \n",
       "1   http://www.wikidata.org/entity/Q597       Lisbon   \n",
       "2  http://www.wikidata.org/entity/Q1748   Copenhagen   \n",
       "3   http://www.wikidata.org/entity/Q437    Ljubljana   \n",
       "4  http://www.wikidata.org/entity/Q3856      Nicosia   \n",
       "\n",
       "                                      mayor               mayorLabel  \\\n",
       "0    http://www.wikidata.org/entity/Q121896     Alec von Graffenried   \n",
       "1  http://www.wikidata.org/entity/Q20017756          Fernando Medina   \n",
       "2    http://www.wikidata.org/entity/Q113921             Frank Jensen   \n",
       "3    http://www.wikidata.org/entity/Q220521           Zoran Janković   \n",
       "4  http://www.wikidata.org/entity/Q16331287  Constantinos Yiorkadjis   \n",
       "\n",
       "       birth  age  population  \n",
       "0 1962-08-16   56    141833.0  \n",
       "1 1973-03-10   45    506892.0  \n",
       "2 1961-05-28   57    602481.0  \n",
       "3 1953-01-01   65    280310.0  \n",
       "4 1968-01-01   50    330000.0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import utils\n",
    "\n",
    "query = \"\"\"\n",
    "SELECT DISTINCT ?country ?countryLabel ?capital ?capitalLabel ?mayor ?mayorLabel ?birth ?age ?population WHERE {\n",
    "  {?country wdt:P463 wd:Q166546} UNION {?country wdt:P463 wd:Q458}\n",
    "  ?country wdt:P36 ?capital.\n",
    "  ?capital wdt:P1082 ?population.\n",
    "  \n",
    "  OPTIONAL {\n",
    "    ?capital p:P6 ?statement.\n",
    "    ?statement ps:P6 ?mayor.\n",
    "    ?mayor wdt:P569 ?birth.\n",
    "    BIND(year(now()) - year(?birth) AS ?age)\n",
    "  } \n",
    "  \n",
    "  FILTER NOT EXISTS { ?statement pq:P582 ?x }\n",
    "  \n",
    "  SERVICE wikibase:label { \n",
    "    bd:serviceParam wikibase:language \"[AUTO_LANGUAGE],en\". \n",
    "  }\n",
    "}\n",
    "\"\"\"\n",
    "df = utils.wikidata_query(query)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Final Query for each Country\n",
    "\n",
    "Let's collect all mayors and their birth cities with Wikidata. We create the script [load_european_mayor.py](load_european_mayor.py) which collects and cleans the data based on the results from the following query. In this case we collect the information for all mayors in Germany."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>city</th>\n",
       "      <th>cityLabel</th>\n",
       "      <th>city_coordinates</th>\n",
       "      <th>population</th>\n",
       "      <th>mayor</th>\n",
       "      <th>mayorLabel</th>\n",
       "      <th>genderLabel</th>\n",
       "      <th>birth</th>\n",
       "      <th>age</th>\n",
       "      <th>start_date</th>\n",
       "      <th>duration</th>\n",
       "      <th>birth_country</th>\n",
       "      <th>birth_countryLabel</th>\n",
       "      <th>birth_city</th>\n",
       "      <th>birth_cityLabel</th>\n",
       "      <th>birth_city_coordinates</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>http://www.wikidata.org/entity/Q64</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Point(13.383333333 52.516666666)</td>\n",
       "      <td>3574830.0</td>\n",
       "      <td>http://www.wikidata.org/entity/Q102844</td>\n",
       "      <td>Michael Müller</td>\n",
       "      <td>male</td>\n",
       "      <td>1964-12-09</td>\n",
       "      <td>54.0</td>\n",
       "      <td>2014-12-11</td>\n",
       "      <td>4</td>\n",
       "      <td>http://www.wikidata.org/entity/Q183</td>\n",
       "      <td>Germany</td>\n",
       "      <td>http://www.wikidata.org/entity/Q64</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Point(13.383333333 52.516666666)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>http://www.wikidata.org/entity/Q1055</td>\n",
       "      <td>Hamburg</td>\n",
       "      <td>Point(10.0 53.55)</td>\n",
       "      <td>1810438.0</td>\n",
       "      <td>http://www.wikidata.org/entity/Q971774</td>\n",
       "      <td>Peter Tschentscher</td>\n",
       "      <td>male</td>\n",
       "      <td>1966-01-20</td>\n",
       "      <td>52.0</td>\n",
       "      <td>2018-03-28</td>\n",
       "      <td>0</td>\n",
       "      <td>http://www.wikidata.org/entity/Q183</td>\n",
       "      <td>Germany</td>\n",
       "      <td>http://www.wikidata.org/entity/Q1209</td>\n",
       "      <td>Bremen</td>\n",
       "      <td>Point(8.5913 53.347266666)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>http://www.wikidata.org/entity/Q1726</td>\n",
       "      <td>Munich</td>\n",
       "      <td>Point(11.5755 48.137194444)</td>\n",
       "      <td>1464301.0</td>\n",
       "      <td>http://www.wikidata.org/entity/Q1083811</td>\n",
       "      <td>Christine Strobl</td>\n",
       "      <td>female</td>\n",
       "      <td>1961-03-02</td>\n",
       "      <td>57.0</td>\n",
       "      <td>2014-05-21</td>\n",
       "      <td>4</td>\n",
       "      <td>http://www.wikidata.org/entity/Q183</td>\n",
       "      <td>Germany</td>\n",
       "      <td>http://www.wikidata.org/entity/Q1726</td>\n",
       "      <td>Munich</td>\n",
       "      <td>Point(11.5755 48.137194444)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>http://www.wikidata.org/entity/Q1726</td>\n",
       "      <td>Munich</td>\n",
       "      <td>Point(11.5755 48.137194444)</td>\n",
       "      <td>1464301.0</td>\n",
       "      <td>http://www.wikidata.org/entity/Q1222671</td>\n",
       "      <td>Dieter Reiter</td>\n",
       "      <td>male</td>\n",
       "      <td>1958-05-19</td>\n",
       "      <td>60.0</td>\n",
       "      <td>2014-05-01</td>\n",
       "      <td>4</td>\n",
       "      <td>http://www.wikidata.org/entity/Q183</td>\n",
       "      <td>Germany</td>\n",
       "      <td>http://www.wikidata.org/entity/Q503737</td>\n",
       "      <td>Rain</td>\n",
       "      <td>Point(10.916666666 48.683333333)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>http://www.wikidata.org/entity/Q1726</td>\n",
       "      <td>Munich</td>\n",
       "      <td>Point(11.5755 48.137194444)</td>\n",
       "      <td>1464301.0</td>\n",
       "      <td>http://www.wikidata.org/entity/Q1705661</td>\n",
       "      <td>Josef Schmid</td>\n",
       "      <td>male</td>\n",
       "      <td>1969-09-27</td>\n",
       "      <td>49.0</td>\n",
       "      <td>2014-05-21</td>\n",
       "      <td>4</td>\n",
       "      <td>http://www.wikidata.org/entity/Q183</td>\n",
       "      <td>Germany</td>\n",
       "      <td>http://www.wikidata.org/entity/Q1726</td>\n",
       "      <td>Munich</td>\n",
       "      <td>Point(11.5755 48.137194444)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>http://www.wikidata.org/entity/Q365</td>\n",
       "      <td>Cologne</td>\n",
       "      <td>Point(6.957777777 50.942222222)</td>\n",
       "      <td>1075935.0</td>\n",
       "      <td>http://www.wikidata.org/entity/Q19285371</td>\n",
       "      <td>Henriette Reker</td>\n",
       "      <td>female</td>\n",
       "      <td>1956-12-09</td>\n",
       "      <td>62.0</td>\n",
       "      <td>2015-10-02</td>\n",
       "      <td>3</td>\n",
       "      <td>http://www.wikidata.org/entity/Q183</td>\n",
       "      <td>Germany</td>\n",
       "      <td>http://www.wikidata.org/entity/Q365</td>\n",
       "      <td>Cologne</td>\n",
       "      <td>Point(6.957777777 50.942222222)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>http://www.wikidata.org/entity/Q1794</td>\n",
       "      <td>Frankfurt</td>\n",
       "      <td>Point(8.679722222 50.113611111)</td>\n",
       "      <td>736414.0</td>\n",
       "      <td>http://www.wikidata.org/entity/Q96506</td>\n",
       "      <td>Peter Feldmann</td>\n",
       "      <td>male</td>\n",
       "      <td>1958-10-07</td>\n",
       "      <td>60.0</td>\n",
       "      <td>2012-07-01</td>\n",
       "      <td>6</td>\n",
       "      <td>http://www.wikidata.org/entity/Q183</td>\n",
       "      <td>Germany</td>\n",
       "      <td>http://www.wikidata.org/entity/Q486562</td>\n",
       "      <td>Helmstedt</td>\n",
       "      <td>Point(11.010555555 52.228055555)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>http://www.wikidata.org/entity/Q1209</td>\n",
       "      <td>Bremen</td>\n",
       "      <td>Point(8.5913 53.347266666)</td>\n",
       "      <td>661000.0</td>\n",
       "      <td>http://www.wikidata.org/entity/Q1045675</td>\n",
       "      <td>Carsten Sieling</td>\n",
       "      <td>male</td>\n",
       "      <td>1959-01-13</td>\n",
       "      <td>59.0</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>3</td>\n",
       "      <td>http://www.wikidata.org/entity/Q183</td>\n",
       "      <td>Germany</td>\n",
       "      <td>http://www.wikidata.org/entity/Q16079</td>\n",
       "      <td>Nienburg/Weser</td>\n",
       "      <td>Point(9.206944444 52.641111111)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>http://www.wikidata.org/entity/Q1718</td>\n",
       "      <td>Düsseldorf</td>\n",
       "      <td>Point(6.816666666 51.216666666)</td>\n",
       "      <td>613230.0</td>\n",
       "      <td>http://www.wikidata.org/entity/Q17198510</td>\n",
       "      <td>Thomas Geisel</td>\n",
       "      <td>male</td>\n",
       "      <td>1963-10-26</td>\n",
       "      <td>55.0</td>\n",
       "      <td>2014-09-01</td>\n",
       "      <td>4</td>\n",
       "      <td>http://www.wikidata.org/entity/Q183</td>\n",
       "      <td>Germany</td>\n",
       "      <td>http://www.wikidata.org/entity/Q163973</td>\n",
       "      <td>Ellwangen (Jagst)</td>\n",
       "      <td>Point(10.130555555 48.961111111)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>http://www.wikidata.org/entity/Q2066</td>\n",
       "      <td>Essen</td>\n",
       "      <td>Point(7.013055555 51.450833333)</td>\n",
       "      <td>590194.0</td>\n",
       "      <td>http://www.wikidata.org/entity/Q2425595</td>\n",
       "      <td>Thomas Kufen</td>\n",
       "      <td>male</td>\n",
       "      <td>1973-08-05</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>3</td>\n",
       "      <td>http://www.wikidata.org/entity/Q183</td>\n",
       "      <td>Germany</td>\n",
       "      <td>http://www.wikidata.org/entity/Q2066</td>\n",
       "      <td>Essen</td>\n",
       "      <td>Point(7.013055555 51.450833333)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   city   cityLabel  \\\n",
       "0    http://www.wikidata.org/entity/Q64      Berlin   \n",
       "1  http://www.wikidata.org/entity/Q1055     Hamburg   \n",
       "2  http://www.wikidata.org/entity/Q1726      Munich   \n",
       "3  http://www.wikidata.org/entity/Q1726      Munich   \n",
       "4  http://www.wikidata.org/entity/Q1726      Munich   \n",
       "5   http://www.wikidata.org/entity/Q365     Cologne   \n",
       "6  http://www.wikidata.org/entity/Q1794   Frankfurt   \n",
       "7  http://www.wikidata.org/entity/Q1209      Bremen   \n",
       "8  http://www.wikidata.org/entity/Q1718  Düsseldorf   \n",
       "9  http://www.wikidata.org/entity/Q2066       Essen   \n",
       "\n",
       "                   city_coordinates  population  \\\n",
       "0  Point(13.383333333 52.516666666)   3574830.0   \n",
       "1                 Point(10.0 53.55)   1810438.0   \n",
       "2       Point(11.5755 48.137194444)   1464301.0   \n",
       "3       Point(11.5755 48.137194444)   1464301.0   \n",
       "4       Point(11.5755 48.137194444)   1464301.0   \n",
       "5   Point(6.957777777 50.942222222)   1075935.0   \n",
       "6   Point(8.679722222 50.113611111)    736414.0   \n",
       "7        Point(8.5913 53.347266666)    661000.0   \n",
       "8   Point(6.816666666 51.216666666)    613230.0   \n",
       "9   Point(7.013055555 51.450833333)    590194.0   \n",
       "\n",
       "                                      mayor          mayorLabel genderLabel  \\\n",
       "0    http://www.wikidata.org/entity/Q102844      Michael Müller        male   \n",
       "1    http://www.wikidata.org/entity/Q971774  Peter Tschentscher        male   \n",
       "2   http://www.wikidata.org/entity/Q1083811    Christine Strobl      female   \n",
       "3   http://www.wikidata.org/entity/Q1222671       Dieter Reiter        male   \n",
       "4   http://www.wikidata.org/entity/Q1705661        Josef Schmid        male   \n",
       "5  http://www.wikidata.org/entity/Q19285371     Henriette Reker      female   \n",
       "6     http://www.wikidata.org/entity/Q96506      Peter Feldmann        male   \n",
       "7   http://www.wikidata.org/entity/Q1045675     Carsten Sieling        male   \n",
       "8  http://www.wikidata.org/entity/Q17198510       Thomas Geisel        male   \n",
       "9   http://www.wikidata.org/entity/Q2425595        Thomas Kufen        male   \n",
       "\n",
       "       birth   age start_date  duration                        birth_country  \\\n",
       "0 1964-12-09  54.0 2014-12-11         4  http://www.wikidata.org/entity/Q183   \n",
       "1 1966-01-20  52.0 2018-03-28         0  http://www.wikidata.org/entity/Q183   \n",
       "2 1961-03-02  57.0 2014-05-21         4  http://www.wikidata.org/entity/Q183   \n",
       "3 1958-05-19  60.0 2014-05-01         4  http://www.wikidata.org/entity/Q183   \n",
       "4 1969-09-27  49.0 2014-05-21         4  http://www.wikidata.org/entity/Q183   \n",
       "5 1956-12-09  62.0 2015-10-02         3  http://www.wikidata.org/entity/Q183   \n",
       "6 1958-10-07  60.0 2012-07-01         6  http://www.wikidata.org/entity/Q183   \n",
       "7 1959-01-13  59.0 2015-01-01         3  http://www.wikidata.org/entity/Q183   \n",
       "8 1963-10-26  55.0 2014-09-01         4  http://www.wikidata.org/entity/Q183   \n",
       "9 1973-08-05  45.0 2015-01-01         3  http://www.wikidata.org/entity/Q183   \n",
       "\n",
       "  birth_countryLabel                              birth_city  \\\n",
       "0            Germany      http://www.wikidata.org/entity/Q64   \n",
       "1            Germany    http://www.wikidata.org/entity/Q1209   \n",
       "2            Germany    http://www.wikidata.org/entity/Q1726   \n",
       "3            Germany  http://www.wikidata.org/entity/Q503737   \n",
       "4            Germany    http://www.wikidata.org/entity/Q1726   \n",
       "5            Germany     http://www.wikidata.org/entity/Q365   \n",
       "6            Germany  http://www.wikidata.org/entity/Q486562   \n",
       "7            Germany   http://www.wikidata.org/entity/Q16079   \n",
       "8            Germany  http://www.wikidata.org/entity/Q163973   \n",
       "9            Germany    http://www.wikidata.org/entity/Q2066   \n",
       "\n",
       "     birth_cityLabel            birth_city_coordinates  \n",
       "0             Berlin  Point(13.383333333 52.516666666)  \n",
       "1             Bremen        Point(8.5913 53.347266666)  \n",
       "2             Munich       Point(11.5755 48.137194444)  \n",
       "3               Rain  Point(10.916666666 48.683333333)  \n",
       "4             Munich       Point(11.5755 48.137194444)  \n",
       "5            Cologne   Point(6.957777777 50.942222222)  \n",
       "6          Helmstedt  Point(11.010555555 52.228055555)  \n",
       "7     Nienburg/Weser   Point(9.206944444 52.641111111)  \n",
       "8  Ellwangen (Jagst)  Point(10.130555555 48.961111111)  \n",
       "9              Essen   Point(7.013055555 51.450833333)  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query=\"\"\"\n",
    "SELECT DISTINCT \n",
    "  ?city ?cityLabel ?city_coordinates ?population \n",
    "  ?mayor ?mayorLabel ?genderLabel ?birth ?age ?start_date ?duration\n",
    "  ?birth_country ?birth_countryLabel ?birth_city ?birth_cityLabel ?birth_city_coordinates \n",
    "WHERE {\n",
    "  ?city wdt:P17 wd:Q183.\n",
    "  ?city wdt:P31/wdt:P279* wd:Q515.\n",
    "  OPTIONAL { ?city wdt:P1082 ?population. }\n",
    "  ?city wdt:P625 ?city_coordinates.\n",
    "  ?city p:P6 ?statement.\n",
    "\n",
    "  ?statement ps:P6 ?mayor.\n",
    "  ?statement pq:P580 ?start_date.\n",
    "  BIND(year(now()) - year(?start_date) AS ?duration)\n",
    "\n",
    "  OPTIONAL { ?mayor wdt:P21 ?gender. }\n",
    "  OPTIONAL { \n",
    "    ?mayor wdt:P569 ?birth.\n",
    "    BIND(year(now()) - year(?birth) AS ?age)\n",
    "  }\n",
    "\n",
    "  # Remove all mayors that have an end time\n",
    "  FILTER NOT EXISTS { ?statement pq:P582 ?y. }\n",
    "  # Remove all mayors that are not alive\n",
    "  FILTER NOT EXISTS { ?mayor wdt:P570 ?z. }\n",
    "\n",
    "  OPTIONAL {\n",
    "    ?mayor wdt:P19 ?birth_city.\n",
    "    ?birth_city wdt:P625 ?birth_city_coordinates.\n",
    "    ?birth_city wdt:P17 ?birth_country.\n",
    "\n",
    "    # Remove all historic countries\n",
    "    FILTER NOT EXISTS { ?birth_country wdt:P31 wd:Q3024240. }\n",
    "  }\n",
    "\n",
    "  SERVICE wikibase:label {\n",
    "    bd:serviceParam wikibase:language \"[AUTO_LANGUAGE],en\". \n",
    "  }\n",
    "}\n",
    "ORDER BY DESC (?population)\n",
    "\"\"\"\n",
    "\n",
    "df = utils.wikidata_query(query)\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It appears that [Munich](https://www.wikidata.org/wiki/Q1726) has three mayors currently running, which is after double checking indeed the case. Take note that Wikidata is continuously updated and information can be incomplete for certain items.\n",
    "\n",
    "# All Mayors in Europe\n",
    "\n",
    "After collecting the data we can now explore it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>city</th>\n",
       "      <th>cityLabel</th>\n",
       "      <th>population</th>\n",
       "      <th>mayor</th>\n",
       "      <th>mayorLabel</th>\n",
       "      <th>genderLabel</th>\n",
       "      <th>birth</th>\n",
       "      <th>age</th>\n",
       "      <th>start_date</th>\n",
       "      <th>duration</th>\n",
       "      <th>birth_country</th>\n",
       "      <th>birth_countryLabel</th>\n",
       "      <th>birth_city</th>\n",
       "      <th>birth_cityLabel</th>\n",
       "      <th>city_lon</th>\n",
       "      <th>city_lat</th>\n",
       "      <th>birth_city_lon</th>\n",
       "      <th>birth_city_lat</th>\n",
       "      <th>distance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ireland</td>\n",
       "      <td>http://www.wikidata.org/entity/Q1761</td>\n",
       "      <td>Dublin</td>\n",
       "      <td>553165.0</td>\n",
       "      <td>http://www.wikidata.org/entity/Q41536567</td>\n",
       "      <td>Mícheál Mac Donncha</td>\n",
       "      <td>male</td>\n",
       "      <td>1965-03-11</td>\n",
       "      <td>53.0</td>\n",
       "      <td>2017-06-26</td>\n",
       "      <td>1</td>\n",
       "      <td>http://www.wikidata.org/entity/Q27</td>\n",
       "      <td>Ireland</td>\n",
       "      <td>http://www.wikidata.org/entity/Q1761</td>\n",
       "      <td>Dublin</td>\n",
       "      <td>-6.265833</td>\n",
       "      <td>53.342500</td>\n",
       "      <td>-6.265833</td>\n",
       "      <td>53.342500</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Spain</td>\n",
       "      <td>http://www.wikidata.org/entity/Q8818</td>\n",
       "      <td>Valencia</td>\n",
       "      <td>787808.0</td>\n",
       "      <td>http://www.wikidata.org/entity/Q9012047</td>\n",
       "      <td>Joan Ribó</td>\n",
       "      <td>male</td>\n",
       "      <td>1947-09-17</td>\n",
       "      <td>71.0</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>http://www.wikidata.org/entity/Q29</td>\n",
       "      <td>Spain</td>\n",
       "      <td>http://www.wikidata.org/entity/Q16697</td>\n",
       "      <td>Manresa</td>\n",
       "      <td>-0.375000</td>\n",
       "      <td>39.466667</td>\n",
       "      <td>1.829167</td>\n",
       "      <td>41.726389</td>\n",
       "      <td>312667.921184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Spain</td>\n",
       "      <td>http://www.wikidata.org/entity/Q15688</td>\n",
       "      <td>Ávila</td>\n",
       "      <td>58149.0</td>\n",
       "      <td>http://www.wikidata.org/entity/Q29366430</td>\n",
       "      <td>José Luis Rivas</td>\n",
       "      <td>male</td>\n",
       "      <td>1950-01-01</td>\n",
       "      <td>68.0</td>\n",
       "      <td>2015-05-24</td>\n",
       "      <td>3</td>\n",
       "      <td>http://www.wikidata.org/entity/Q29</td>\n",
       "      <td>Spain</td>\n",
       "      <td>http://www.wikidata.org/entity/Q15688</td>\n",
       "      <td>Ávila</td>\n",
       "      <td>-4.696222</td>\n",
       "      <td>40.654347</td>\n",
       "      <td>-4.696222</td>\n",
       "      <td>40.654347</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Spain</td>\n",
       "      <td>http://www.wikidata.org/entity/Q494693</td>\n",
       "      <td>Torrelavega</td>\n",
       "      <td>52034.0</td>\n",
       "      <td>http://www.wikidata.org/entity/Q25408727</td>\n",
       "      <td>José Manuel Cruz Viadero</td>\n",
       "      <td>male</td>\n",
       "      <td>1954-08-15</td>\n",
       "      <td>64.0</td>\n",
       "      <td>2015-06-13</td>\n",
       "      <td>3</td>\n",
       "      <td>http://www.wikidata.org/entity/Q29</td>\n",
       "      <td>Spain</td>\n",
       "      <td>http://www.wikidata.org/entity/Q19460136</td>\n",
       "      <td>Ajo, Cantabria</td>\n",
       "      <td>-4.045833</td>\n",
       "      <td>43.353056</td>\n",
       "      <td>-3.609722</td>\n",
       "      <td>43.480556</td>\n",
       "      <td>38054.270362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Spain</td>\n",
       "      <td>http://www.wikidata.org/entity/Q8692</td>\n",
       "      <td>Bilbao</td>\n",
       "      <td>345110.0</td>\n",
       "      <td>http://www.wikidata.org/entity/Q5951349</td>\n",
       "      <td>Juan María Aburto</td>\n",
       "      <td>male</td>\n",
       "      <td>1961-03-28</td>\n",
       "      <td>57.0</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>3</td>\n",
       "      <td>http://www.wikidata.org/entity/Q29</td>\n",
       "      <td>Spain</td>\n",
       "      <td>http://www.wikidata.org/entity/Q8692</td>\n",
       "      <td>Bilbao</td>\n",
       "      <td>-2.953333</td>\n",
       "      <td>43.262222</td>\n",
       "      <td>-2.953333</td>\n",
       "      <td>43.262222</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   country                                    city    cityLabel  population  \\\n",
       "0  Ireland    http://www.wikidata.org/entity/Q1761       Dublin    553165.0   \n",
       "1    Spain    http://www.wikidata.org/entity/Q8818     Valencia    787808.0   \n",
       "2    Spain   http://www.wikidata.org/entity/Q15688        Ávila     58149.0   \n",
       "3    Spain  http://www.wikidata.org/entity/Q494693  Torrelavega     52034.0   \n",
       "4    Spain    http://www.wikidata.org/entity/Q8692       Bilbao    345110.0   \n",
       "\n",
       "                                      mayor                mayorLabel  \\\n",
       "0  http://www.wikidata.org/entity/Q41536567       Mícheál Mac Donncha   \n",
       "1   http://www.wikidata.org/entity/Q9012047                 Joan Ribó   \n",
       "2  http://www.wikidata.org/entity/Q29366430           José Luis Rivas   \n",
       "3  http://www.wikidata.org/entity/Q25408727  José Manuel Cruz Viadero   \n",
       "4   http://www.wikidata.org/entity/Q5951349         Juan María Aburto   \n",
       "\n",
       "  genderLabel       birth   age  start_date  duration  \\\n",
       "0        male  1965-03-11  53.0  2017-06-26         1   \n",
       "1        male  1947-09-17  71.0  2017-01-01         1   \n",
       "2        male  1950-01-01  68.0  2015-05-24         3   \n",
       "3        male  1954-08-15  64.0  2015-06-13         3   \n",
       "4        male  1961-03-28  57.0  2015-01-01         3   \n",
       "\n",
       "                        birth_country birth_countryLabel  \\\n",
       "0  http://www.wikidata.org/entity/Q27            Ireland   \n",
       "1  http://www.wikidata.org/entity/Q29              Spain   \n",
       "2  http://www.wikidata.org/entity/Q29              Spain   \n",
       "3  http://www.wikidata.org/entity/Q29              Spain   \n",
       "4  http://www.wikidata.org/entity/Q29              Spain   \n",
       "\n",
       "                                 birth_city birth_cityLabel  city_lon  \\\n",
       "0      http://www.wikidata.org/entity/Q1761          Dublin -6.265833   \n",
       "1     http://www.wikidata.org/entity/Q16697         Manresa -0.375000   \n",
       "2     http://www.wikidata.org/entity/Q15688           Ávila -4.696222   \n",
       "3  http://www.wikidata.org/entity/Q19460136  Ajo, Cantabria -4.045833   \n",
       "4      http://www.wikidata.org/entity/Q8692          Bilbao -2.953333   \n",
       "\n",
       "    city_lat  birth_city_lon  birth_city_lat       distance  \n",
       "0  53.342500       -6.265833       53.342500       0.000000  \n",
       "1  39.466667        1.829167       41.726389  312667.921184  \n",
       "2  40.654347       -4.696222       40.654347       0.000000  \n",
       "3  43.353056       -3.609722       43.480556   38054.270362  \n",
       "4  43.262222       -2.953333       43.262222       0.000000  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/european_mayors.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## How many Mayors (with birth place) are per Country in Wikidata?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.dropna()['country'].value_counts().plot(kind='bar', color='C0', logy=True, figsize=(16, 9));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# How does that look like on the Map?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.dropna().plot(kind='scatter', x='city_lon', y='city_lat', figsize=(16, 9))\n",
    "plt.axis('equal');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib.collections import LineCollection\n",
    "\n",
    "df_plot = df.dropna()\n",
    "lines = [[(lon0, lat0), (lon1, lat1)] \n",
    "         for lon0, lat0, lon1, lat1 in df_plot[['city_lon', \n",
    "                                                'city_lat', \n",
    "                                                'birth_city_lon', \n",
    "                                                'birth_city_lat']].values]\n",
    "\n",
    "line_collection = LineCollection(lines, linewidths=2)\n",
    "\n",
    "plt.figure(figsize=(16, 9))\n",
    "plt.gca().add_collection(line_collection)\n",
    "plt.gca().autoscale()\n",
    "plt.axis('equal');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# What is the Average Age of a Mayor?\n",
    "\n",
    "We can see that 55 years is the prime age to be a mayor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average age : 55.27 (+/- 9.75)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['age'].plot(kind='hist', bins=50, figsize=(16, 9));\n",
    "print('Average age : {:.2f} (+/- {:.2f})'.format(df['age'].mean(), df['age'].std()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['duration'].plot(kind='hist', bins=20, figsize=(16, 9));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>city</th>\n",
       "      <th>cityLabel</th>\n",
       "      <th>population</th>\n",
       "      <th>mayor</th>\n",
       "      <th>mayorLabel</th>\n",
       "      <th>genderLabel</th>\n",
       "      <th>birth</th>\n",
       "      <th>age</th>\n",
       "      <th>start_date</th>\n",
       "      <th>duration</th>\n",
       "      <th>birth_country</th>\n",
       "      <th>birth_countryLabel</th>\n",
       "      <th>birth_city</th>\n",
       "      <th>birth_cityLabel</th>\n",
       "      <th>city_lon</th>\n",
       "      <th>city_lat</th>\n",
       "      <th>birth_city_lon</th>\n",
       "      <th>birth_city_lat</th>\n",
       "      <th>distance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>Germany</td>\n",
       "      <td>http://www.wikidata.org/entity/Q2833</td>\n",
       "      <td>Freiburg im Breisgau</td>\n",
       "      <td>227590.0</td>\n",
       "      <td>http://www.wikidata.org/entity/Q109550</td>\n",
       "      <td>Dieter Salomon</td>\n",
       "      <td>male</td>\n",
       "      <td>1960-08-09</td>\n",
       "      <td>58.0</td>\n",
       "      <td>2002-05-05</td>\n",
       "      <td>16</td>\n",
       "      <td>http://www.wikidata.org/entity/Q408</td>\n",
       "      <td>Australia</td>\n",
       "      <td>http://www.wikidata.org/entity/Q3141</td>\n",
       "      <td>Melbourne</td>\n",
       "      <td>7.849722</td>\n",
       "      <td>47.994722</td>\n",
       "      <td>144.961389</td>\n",
       "      <td>-37.820556</td>\n",
       "      <td>1.639172e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>640</th>\n",
       "      <td>France</td>\n",
       "      <td>http://www.wikidata.org/entity/Q249884</td>\n",
       "      <td>Saint-Pierre</td>\n",
       "      <td>84063.0</td>\n",
       "      <td>http://www.wikidata.org/entity/Q3309639</td>\n",
       "      <td>Michel Fontaine</td>\n",
       "      <td>male</td>\n",
       "      <td>1952-05-06</td>\n",
       "      <td>66.0</td>\n",
       "      <td>2001-01-01</td>\n",
       "      <td>17</td>\n",
       "      <td>http://www.wikidata.org/entity/Q142</td>\n",
       "      <td>France</td>\n",
       "      <td>http://www.wikidata.org/entity/Q239078</td>\n",
       "      <td>Romans-sur-Isère</td>\n",
       "      <td>55.477778</td>\n",
       "      <td>-21.341944</td>\n",
       "      <td>5.050833</td>\n",
       "      <td>45.045556</td>\n",
       "      <td>8.951750e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>550</th>\n",
       "      <td>Greece</td>\n",
       "      <td>http://www.wikidata.org/entity/Q1524</td>\n",
       "      <td>Athens</td>\n",
       "      <td>664046.0</td>\n",
       "      <td>http://www.wikidata.org/entity/Q719130</td>\n",
       "      <td>Giorgos Kaminis</td>\n",
       "      <td>male</td>\n",
       "      <td>1954-07-15</td>\n",
       "      <td>64.0</td>\n",
       "      <td>2010-12-29</td>\n",
       "      <td>8</td>\n",
       "      <td>http://www.wikidata.org/entity/Q30</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>http://www.wikidata.org/entity/Q60</td>\n",
       "      <td>New York City</td>\n",
       "      <td>23.716111</td>\n",
       "      <td>37.979444</td>\n",
       "      <td>-73.940000</td>\n",
       "      <td>40.670000</td>\n",
       "      <td>7.942163e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>http://www.wikidata.org/entity/Q72</td>\n",
       "      <td>Zürich</td>\n",
       "      <td>415682.0</td>\n",
       "      <td>http://www.wikidata.org/entity/Q123363</td>\n",
       "      <td>Corine Mauch</td>\n",
       "      <td>female</td>\n",
       "      <td>1960-05-28</td>\n",
       "      <td>58.0</td>\n",
       "      <td>2009-05-01</td>\n",
       "      <td>9</td>\n",
       "      <td>http://www.wikidata.org/entity/Q30</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>http://www.wikidata.org/entity/Q487977</td>\n",
       "      <td>Iowa City</td>\n",
       "      <td>8.540000</td>\n",
       "      <td>47.378611</td>\n",
       "      <td>-91.525000</td>\n",
       "      <td>41.655833</td>\n",
       "      <td>7.401167e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>609</th>\n",
       "      <td>France</td>\n",
       "      <td>http://www.wikidata.org/entity/Q30974</td>\n",
       "      <td>Rouen</td>\n",
       "      <td>110169.0</td>\n",
       "      <td>http://www.wikidata.org/entity/Q3574148</td>\n",
       "      <td>Yvon Robert</td>\n",
       "      <td>male</td>\n",
       "      <td>1949-11-10</td>\n",
       "      <td>69.0</td>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>4</td>\n",
       "      <td>http://www.wikidata.org/entity/Q142</td>\n",
       "      <td>France</td>\n",
       "      <td>http://www.wikidata.org/entity/Q81621</td>\n",
       "      <td>Fort-de-France</td>\n",
       "      <td>1.102500</td>\n",
       "      <td>49.443056</td>\n",
       "      <td>-61.069444</td>\n",
       "      <td>14.607222</td>\n",
       "      <td>6.782640e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         country                                    city  \\\n",
       "382      Germany    http://www.wikidata.org/entity/Q2833   \n",
       "640       France  http://www.wikidata.org/entity/Q249884   \n",
       "550       Greece    http://www.wikidata.org/entity/Q1524   \n",
       "87   Switzerland      http://www.wikidata.org/entity/Q72   \n",
       "609       France   http://www.wikidata.org/entity/Q30974   \n",
       "\n",
       "                cityLabel  population  \\\n",
       "382  Freiburg im Breisgau    227590.0   \n",
       "640          Saint-Pierre     84063.0   \n",
       "550                Athens    664046.0   \n",
       "87                 Zürich    415682.0   \n",
       "609                 Rouen    110169.0   \n",
       "\n",
       "                                       mayor       mayorLabel genderLabel  \\\n",
       "382   http://www.wikidata.org/entity/Q109550   Dieter Salomon        male   \n",
       "640  http://www.wikidata.org/entity/Q3309639  Michel Fontaine        male   \n",
       "550   http://www.wikidata.org/entity/Q719130  Giorgos Kaminis        male   \n",
       "87    http://www.wikidata.org/entity/Q123363     Corine Mauch      female   \n",
       "609  http://www.wikidata.org/entity/Q3574148      Yvon Robert        male   \n",
       "\n",
       "          birth   age  start_date  duration  \\\n",
       "382  1960-08-09  58.0  2002-05-05        16   \n",
       "640  1952-05-06  66.0  2001-01-01        17   \n",
       "550  1954-07-15  64.0  2010-12-29         8   \n",
       "87   1960-05-28  58.0  2009-05-01         9   \n",
       "609  1949-11-10  69.0  2014-01-01         4   \n",
       "\n",
       "                           birth_country        birth_countryLabel  \\\n",
       "382  http://www.wikidata.org/entity/Q408                 Australia   \n",
       "640  http://www.wikidata.org/entity/Q142                    France   \n",
       "550   http://www.wikidata.org/entity/Q30  United States of America   \n",
       "87    http://www.wikidata.org/entity/Q30  United States of America   \n",
       "609  http://www.wikidata.org/entity/Q142                    France   \n",
       "\n",
       "                                 birth_city   birth_cityLabel   city_lon  \\\n",
       "382    http://www.wikidata.org/entity/Q3141         Melbourne   7.849722   \n",
       "640  http://www.wikidata.org/entity/Q239078  Romans-sur-Isère  55.477778   \n",
       "550      http://www.wikidata.org/entity/Q60     New York City  23.716111   \n",
       "87   http://www.wikidata.org/entity/Q487977         Iowa City   8.540000   \n",
       "609   http://www.wikidata.org/entity/Q81621    Fort-de-France   1.102500   \n",
       "\n",
       "      city_lat  birth_city_lon  birth_city_lat      distance  \n",
       "382  47.994722      144.961389      -37.820556  1.639172e+07  \n",
       "640 -21.341944        5.050833       45.045556  8.951750e+06  \n",
       "550  37.979444      -73.940000       40.670000  7.942163e+06  \n",
       "87   47.378611      -91.525000       41.655833  7.401167e+06  \n",
       "609  49.443056      -61.069444       14.607222  6.782640e+06  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sort_values(by='distance', ascending=False).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pandas.plotting import scatter_matrix\n",
    "\n",
    "df_plot = df[['age', 'duration', 'population', 'distance']].copy()\n",
    "for col in ['population', 'duration']:\n",
    "    df_plot[col] = df_plot[col].apply(lambda x: np.log(x) if x > 0 else 0)\n",
    "df_plot['distance'] = df_plot['distance'].apply(lambda x: np.log(x) if x > 0 else 0)\n",
    "scatter_matrix(df_plot, alpha=0.5, figsize=(10, 10), diagonal='kde');"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}