{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "This notebook contains the live demo shown in the meetup talk. Each cell adds an element to the chart. The new content per cell is highlighted by comments." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import altair as alt\n", "from vega_datasets import data" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "693\n", "region \n", "Africa 604 Rwanda\n", " 450 Kenya\n", " 626 South Africa\n", " 527 Nigeria\n", "Americas 21 Argentina\n", " 164 Colombia\n", " 494 Mexico\n", " 120 Brazil\n", " 681 United States\n", "Asia/Pacific 472 North Korea\n", " 571 Philippines\n", " 439 Japan\n", " 362 Indonesia\n", " 153 China\n", "Europe 417 Italy\n", " 670 United Kingdom\n", " 263 France\n", " 659 Turkey\n", " 285 Germany\n", "Indian Subcontinent 10 Afghanistan\n", " 76 Bangladesh\n", " 549 Pakistan\n", " 351 India\n", "Middle East 406 Israel\n", " 384 Iraq\n", " 615 Saudi Arabia\n", " 373 Iran\n", " 230 Egypt\n", "Name: country, dtype: object\n", "308\n" ] } ], "source": [ "# load data\n", "df = data.gapminder()\n", "\n", "# assign region labels\n", "df['region'] = df['cluster'].map({\n", " 0: 'Indian Subcontinent',\n", " 1: 'Europe',\n", " 2: 'Africa',\n", " 3: 'Americas',\n", " 4: 'Asia/Pacific',\n", " 5: 'Middle East',\n", "})\n", "\n", "df['pop'] = (df['pop'] / 1.e6).round()\n", "\n", "# select 4 largest countries per group, by latest population\n", "print(len(df))\n", "last_year = df['year'].max()\n", "largest_per_group = df[df['year'] == last_year].groupby('region').apply(lambda g: g.sort_values(by='pop').iloc[-5:])['country']\n", "print(largest_per_group)\n", "df = df[df['country'].isin(largest_per_group)].sort_values(by=['country', 'year'])\n", "print(len(df))" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>year</th>\n", " <th>country</th>\n", " <th>cluster</th>\n", " <th>pop</th>\n", " <th>life_expect</th>\n", " <th>fertility</th>\n", " <th>region</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>1955</td>\n", " <td>Afghanistan</td>\n", " <td>0</td>\n", " <td>9.0</td>\n", " <td>30.332</td>\n", " <td>7.7</td>\n", " <td>Indian Subcontinent</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>1960</td>\n", " <td>Afghanistan</td>\n", " <td>0</td>\n", " <td>10.0</td>\n", " <td>31.997</td>\n", " <td>7.7</td>\n", " <td>Indian Subcontinent</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>1965</td>\n", " <td>Afghanistan</td>\n", " <td>0</td>\n", " <td>11.0</td>\n", " <td>34.020</td>\n", " <td>7.7</td>\n", " <td>Indian Subcontinent</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>1970</td>\n", " <td>Afghanistan</td>\n", " <td>0</td>\n", " <td>12.0</td>\n", " <td>36.088</td>\n", " <td>7.7</td>\n", " <td>Indian Subcontinent</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>1975</td>\n", " <td>Afghanistan</td>\n", " <td>0</td>\n", " <td>14.0</td>\n", " <td>38.438</td>\n", " <td>7.7</td>\n", " <td>Indian Subcontinent</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " year country cluster pop life_expect fertility \\\n", "0 1955 Afghanistan 0 9.0 30.332 7.7 \n", "1 1960 Afghanistan 0 10.0 31.997 7.7 \n", "2 1965 Afghanistan 0 11.0 34.020 7.7 \n", "3 1970 Afghanistan 0 12.0 36.088 7.7 \n", "4 1975 Afghanistan 0 14.0 38.438 7.7 \n", "\n", " region \n", "0 Indian Subcontinent \n", "1 Indian Subcontinent \n", "2 Indian Subcontinent \n", "3 Indian Subcontinent \n", "4 Indian Subcontinent " ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head()" ] }, { "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>year</th>\n", " <th>country</th>\n", " <th>cluster</th>\n", " <th>pop</th>\n", " <th>life_expect</th>\n", " <th>fertility</th>\n", " <th>region</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>677</th>\n", " <td>1985</td>\n", " <td>United States</td>\n", " <td>3</td>\n", " <td>238.0</td>\n", " <td>75.020</td>\n", " <td>1.924</td>\n", " <td>Americas</td>\n", " </tr>\n", " <tr>\n", " <th>678</th>\n", " <td>1990</td>\n", " <td>United States</td>\n", " <td>3</td>\n", " <td>250.0</td>\n", " <td>76.090</td>\n", " <td>2.025</td>\n", " <td>Americas</td>\n", " </tr>\n", " <tr>\n", " <th>679</th>\n", " <td>1995</td>\n", " <td>United States</td>\n", " <td>3</td>\n", " <td>267.0</td>\n", " <td>76.810</td>\n", " <td>1.994</td>\n", " <td>Americas</td>\n", " </tr>\n", " <tr>\n", " <th>680</th>\n", " <td>2000</td>\n", " <td>United States</td>\n", " <td>3</td>\n", " <td>282.0</td>\n", " <td>77.310</td>\n", " <td>2.038</td>\n", " <td>Americas</td>\n", " </tr>\n", " <tr>\n", " <th>681</th>\n", " <td>2005</td>\n", " <td>United States</td>\n", " <td>3</td>\n", " <td>296.0</td>\n", " <td>78.242</td>\n", " <td>2.054</td>\n", " <td>Americas</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " year country cluster pop life_expect fertility region\n", "677 1985 United States 3 238.0 75.020 1.924 Americas\n", "678 1990 United States 3 250.0 76.090 2.025 Americas\n", "679 1995 United States 3 267.0 76.810 1.994 Americas\n", "680 2000 United States 3 282.0 77.310 2.038 Americas\n", "681 2005 United States 3 296.0 78.242 2.054 Americas" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.tail()" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "application/vnd.vegalite.v3+json": { "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json", "config": { "mark": { "tooltip": null }, "view": { "height": 300, "width": 400 } }, "data": { "name": "data-eb55b3c04935b1d5bce4fa9a8c24136b" }, "datasets": { "data-eb55b3c04935b1d5bce4fa9a8c24136b": [ { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 30.332, "pop": 9, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 31.997, "pop": 10, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 34.02, "pop": 11, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 36.088, "pop": 12, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 38.438, "pop": 14, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.8, "life_expect": 39.854, "pop": 15, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.9, "life_expect": 40.822, "pop": 14, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Afghanistan", "fertility": 8, "life_expect": 41.674, "pop": 15, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Afghanistan", "fertility": 8, "life_expect": 41.763, "pop": 21, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.4792, "life_expect": 42.129, "pop": 24, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.0685, "life_expect": 43.828, "pop": 30, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 3, "country": "Argentina", "fertility": 3.1265, "life_expect": 64.399, "pop": 19, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Argentina", "fertility": 3.0895, "life_expect": 65.142, "pop": 21, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Argentina", "fertility": 3.049, "life_expect": 65.634, "pop": 22, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Argentina", "fertility": 3.1455, "life_expect": 67.065, "pop": 24, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Argentina", "fertility": 3.44, "life_expect": 68.481, "pop": 26, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Argentina", "fertility": 3.15, "life_expect": 69.942, "pop": 28, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Argentina", "fertility": 3.053, "life_expect": 70.774, "pop": 31, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Argentina", "fertility": 2.9, "life_expect": 71.868, "pop": 33, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Argentina", "fertility": 2.63, "life_expect": 73.275, "pop": 35, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Argentina", "fertility": 2.35, "life_expect": 74.34, "pop": 37, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Argentina", "fertility": 2.254, "life_expect": 75.32, "pop": 40, "region": "Americas", "year": 2005 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.76, "life_expect": 39.348, "pop": 50, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.85, "life_expect": 41.216, "pop": 55, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.6, "life_expect": 43.453, "pop": 60, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.15, "life_expect": 45.252, "pop": 67, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Bangladesh", "fertility": 5.6, "life_expect": 46.923, "pop": 76, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Bangladesh", "fertility": 5.25, "life_expect": 50.009, "pop": 88, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Bangladesh", "fertility": 4.629, "life_expect": 52.819, "pop": 100, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Bangladesh", "fertility": 4.117, "life_expect": 56.018, "pop": 110, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Bangladesh", "fertility": 3.5042999999999997, "life_expect": 59.412, "pop": 119, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Bangladesh", "fertility": 3.224, "life_expect": 62.013, "pop": 130, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Bangladesh", "fertility": 2.826, "life_expect": 64.062, "pop": 144, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 3, "country": "Brazil", "fertility": 6.1501, "life_expect": 53.285, "pop": 62, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Brazil", "fertility": 6.1501, "life_expect": 55.665, "pop": 72, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Brazil", "fertility": 5.38, "life_expect": 57.632, "pop": 83, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Brazil", "fertility": 4.7175, "life_expect": 59.504, "pop": 96, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Brazil", "fertility": 4.305, "life_expect": 61.489, "pop": 109, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Brazil", "fertility": 3.8, "life_expect": 63.336, "pop": 123, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Brazil", "fertility": 3.1, "life_expect": 65.205, "pop": 137, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Brazil", "fertility": 2.6, "life_expect": 67.057, "pop": 151, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Brazil", "fertility": 2.45, "life_expect": 69.388, "pop": 164, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Brazil", "fertility": 2.345, "life_expect": 71.006, "pop": 176, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Brazil", "fertility": 2.245, "life_expect": 72.39, "pop": 186, "region": "Americas", "year": 2005 }, { "cluster": 4, "country": "China", "fertility": 5.59, "life_expect": 50.54896, "pop": 609, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "China", "fertility": 5.72, "life_expect": 44.50136, "pop": 667, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "China", "fertility": 6.06, "life_expect": 58.38112, "pop": 715, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "China", "fertility": 4.86, "life_expect": 63.11888, "pop": 818, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "China", "fertility": 3.32, "life_expect": 63.96736, "pop": 916, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "China", "fertility": 2.55, "life_expect": 65.525, "pop": 981, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "China", "fertility": 2.46, "life_expect": 67.274, "pop": 1051, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "China", "fertility": 1.92, "life_expect": 68.69, "pop": 1135, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "China", "fertility": 1.7810000000000001, "life_expect": 70.426, "pop": 1205, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "China", "fertility": 1.7000000000000002, "life_expect": 72.028, "pop": 1263, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "China", "fertility": 1.725, "life_expect": 72.961, "pop": 1303, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 3, "country": "Colombia", "fertility": 6.76, "life_expect": 55.118, "pop": 14, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Colombia", "fertility": 6.76, "life_expect": 57.863, "pop": 16, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Colombia", "fertility": 6.18, "life_expect": 59.963, "pop": 19, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Colombia", "fertility": 5.0005, "life_expect": 61.623, "pop": 21, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Colombia", "fertility": 4.3385, "life_expect": 63.837, "pop": 24, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Colombia", "fertility": 3.685, "life_expect": 66.653, "pop": 27, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Colombia", "fertility": 3.172, "life_expect": 67.768, "pop": 30, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Colombia", "fertility": 2.93005, "life_expect": 68.421, "pop": 33, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Colombia", "fertility": 2.7, "life_expect": 70.313, "pop": 36, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Colombia", "fertility": 2.4705, "life_expect": 71.682, "pop": 40, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Colombia", "fertility": 2.2205, "life_expect": 72.889, "pop": 43, "region": "Americas", "year": 2005 }, { "cluster": 5, "country": "Egypt", "fertility": 6.97, "life_expect": 44.444, "pop": 24, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Egypt", "fertility": 7.073, "life_expect": 46.992, "pop": 27, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Egypt", "fertility": 6.5600000000000005, "life_expect": 49.293, "pop": 30, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Egypt", "fertility": 5.855, "life_expect": 51.137, "pop": 34, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Egypt", "fertility": 5.609, "life_expect": 53.319, "pop": 37, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Egypt", "fertility": 5.332, "life_expect": 56.006, "pop": 43, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Egypt", "fertility": 4.833, "life_expect": 59.797, "pop": 50, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Egypt", "fertility": 3.908, "life_expect": 63.674, "pop": 57, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Egypt", "fertility": 3.5, "life_expect": 67.217, "pop": 63, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Egypt", "fertility": 3.174, "life_expect": 69.806, "pop": 70, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Egypt", "fertility": 2.891, "life_expect": 71.338, "pop": 78, "region": "Middle East", "year": 2005 }, { "cluster": 1, "country": "France", "fertility": 2.7119999999999997, "life_expect": 68.93, "pop": 43, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "France", "fertility": 2.85, "life_expect": 70.51, "pop": 46, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "France", "fertility": 2.607, "life_expect": 71.55, "pop": 49, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "France", "fertility": 2.31, "life_expect": 72.38, "pop": 51, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "France", "fertility": 1.862, "life_expect": 73.83, "pop": 53, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "France", "fertility": 1.866, "life_expect": 74.89, "pop": 54, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "France", "fertility": 1.8050000000000002, "life_expect": 76.34, "pop": 55, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "France", "fertility": 1.713, "life_expect": 77.46, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "France", "fertility": 1.7624, "life_expect": 78.64, "pop": 58, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "France", "fertility": 1.8833000000000002, "life_expect": 79.59, "pop": 59, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "France", "fertility": 1.8916, "life_expect": 80.657, "pop": 61, "region": "Europe", "year": 2005 }, { "cluster": 1, "country": "Germany", "fertility": 2.3, "life_expect": 69.1, "pop": 70, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Germany", "fertility": 2.49, "life_expect": 70.3, "pop": 72, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Germany", "fertility": 2.32, "life_expect": 70.8, "pop": 76, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Germany", "fertility": 1.6400000000000001, "life_expect": 71, "pop": 78, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Germany", "fertility": 1.52, "life_expect": 72.5, "pop": 79, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Germany", "fertility": 1.46, "life_expect": 73.8, "pop": 78, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Germany", "fertility": 1.43, "life_expect": 74.847, "pop": 78, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Germany", "fertility": 1.31, "life_expect": 76.07, "pop": 79, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Germany", "fertility": 1.34, "life_expect": 77.34, "pop": 82, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Germany", "fertility": 1.346, "life_expect": 78.67, "pop": 82, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Germany", "fertility": 1.3599999999999999, "life_expect": 79.406, "pop": 82, "region": "Europe", "year": 2005 }, { "cluster": 0, "country": "India", "fertility": 5.8961, "life_expect": 40.249, "pop": 393, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "India", "fertility": 5.8216, "life_expect": 43.605, "pop": 434, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "India", "fertility": 5.6058, "life_expect": 47.193, "pop": 485, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "India", "fertility": 5.264, "life_expect": 50.651, "pop": 541, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "India", "fertility": 4.8888, "life_expect": 54.208, "pop": 607, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "India", "fertility": 4.4975, "life_expect": 56.596, "pop": 679, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "India", "fertility": 4.15, "life_expect": 58.553, "pop": 755, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "India", "fertility": 3.8648, "life_expect": 60.223, "pop": 839, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "India", "fertility": 3.4551, "life_expect": 61.765, "pop": 927, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "India", "fertility": 3.1132, "life_expect": 62.879, "pop": 1008, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "India", "fertility": 2.8073, "life_expect": 64.698, "pop": 1080, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.672, "life_expect": 39.918, "pop": 87, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.62, "life_expect": 42.518, "pop": 95, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.568, "life_expect": 45.964, "pop": 105, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.3, "life_expect": 49.203, "pop": 116, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Indonesia", "fertility": 4.73, "life_expect": 52.702, "pop": 130, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Indonesia", "fertility": 4.109, "life_expect": 56.159, "pop": 147, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Indonesia", "fertility": 3.4, "life_expect": 60.137, "pop": 163, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.9, "life_expect": 62.681, "pop": 178, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.55, "life_expect": 66.041, "pop": 195, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.3761, "life_expect": 68.588, "pop": 206, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.182, "life_expect": 70.65, "pop": 218, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 5, "country": "Iran", "fertility": 7, "life_expect": 47.181, "pop": 19, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Iran", "fertility": 7, "life_expect": 49.325, "pop": 22, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Iran", "fertility": 6.8, "life_expect": 52.469, "pop": 25, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Iran", "fertility": 6.4, "life_expect": 55.234, "pop": 29, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Iran", "fertility": 6.5, "life_expect": 57.702, "pop": 33, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Iran", "fertility": 6.63, "life_expect": 59.62, "pop": 40, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Iran", "fertility": 5.62, "life_expect": 63.04, "pop": 48, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Iran", "fertility": 4.328, "life_expect": 65.742, "pop": 57, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Iran", "fertility": 2.534, "life_expect": 68.042, "pop": 62, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Iran", "fertility": 2.124, "life_expect": 69.451, "pop": 66, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Iran", "fertility": 2.04, "life_expect": 70.964, "pop": 68, "region": "Middle East", "year": 2005 }, { "cluster": 5, "country": "Iraq", "fertility": 7.3, "life_expect": 48.437, "pop": 6, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Iraq", "fertility": 7.25, "life_expect": 51.457, "pop": 7, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Iraq", "fertility": 7.2, "life_expect": 54.459, "pop": 8, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Iraq", "fertility": 7.15, "life_expect": 56.95, "pop": 9, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Iraq", "fertility": 6.8, "life_expect": 60.413, "pop": 11, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Iraq", "fertility": 6.35, "life_expect": 62.038, "pop": 13, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Iraq", "fertility": 6.15, "life_expect": 65.044, "pop": 16, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Iraq", "fertility": 5.7, "life_expect": 59.461, "pop": 18, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Iraq", "fertility": 5.37, "life_expect": 58.811, "pop": 20, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Iraq", "fertility": 4.858, "life_expect": 57.046, "pop": 23, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Iraq", "fertility": 4.264, "life_expect": 59.545, "pop": 26, "region": "Middle East", "year": 2005 }, { "cluster": 5, "country": "Israel", "fertility": 3.893, "life_expect": 67.84, "pop": 2, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Israel", "fertility": 3.852, "life_expect": 69.39, "pop": 2, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Israel", "fertility": 3.79, "life_expect": 70.75, "pop": 3, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Israel", "fertility": 3.77, "life_expect": 71.63, "pop": 3, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Israel", "fertility": 3.409, "life_expect": 73.06, "pop": 3, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Israel", "fertility": 3.125, "life_expect": 74.45, "pop": 4, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Israel", "fertility": 3.051, "life_expect": 75.6, "pop": 4, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Israel", "fertility": 2.933, "life_expect": 76.93, "pop": 5, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Israel", "fertility": 2.942, "life_expect": 78.269, "pop": 5, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Israel", "fertility": 2.906, "life_expect": 79.696, "pop": 6, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Israel", "fertility": 2.75, "life_expect": 80.745, "pop": 6, "region": "Middle East", "year": 2005 }, { "cluster": 1, "country": "Italy", "fertility": 2.35, "life_expect": 67.81, "pop": 49, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Italy", "fertility": 2.498, "life_expect": 69.24, "pop": 50, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Italy", "fertility": 2.493, "life_expect": 71.06, "pop": 52, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Italy", "fertility": 2.325, "life_expect": 72.19, "pop": 54, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Italy", "fertility": 1.889, "life_expect": 73.48, "pop": 56, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Italy", "fertility": 1.53, "life_expect": 74.98, "pop": 56, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Italy", "fertility": 1.349, "life_expect": 76.42, "pop": 57, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Italy", "fertility": 1.275, "life_expect": 77.44, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Italy", "fertility": 1.213, "life_expect": 78.82, "pop": 57, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Italy", "fertility": 1.286, "life_expect": 80.24, "pop": 58, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Italy", "fertility": 1.379, "life_expect": 80.546, "pop": 58, "region": "Europe", "year": 2005 }, { "cluster": 4, "country": "Japan", "fertility": 2.08, "life_expect": 65.5, "pop": 90, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Japan", "fertility": 2.02, "life_expect": 68.73, "pop": 94, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Japan", "fertility": 2, "life_expect": 71.43, "pop": 99, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Japan", "fertility": 2.07, "life_expect": 73.42, "pop": 104, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Japan", "fertility": 1.81, "life_expect": 75.38, "pop": 112, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Japan", "fertility": 1.76, "life_expect": 77.11, "pop": 117, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Japan", "fertility": 1.6600000000000001, "life_expect": 78.67, "pop": 121, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Japan", "fertility": 1.49, "life_expect": 79.36, "pop": 124, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Japan", "fertility": 1.3900000000000001, "life_expect": 80.69, "pop": 125, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Japan", "fertility": 1.291, "life_expect": 82, "pop": 127, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Japan", "fertility": 1.27, "life_expect": 82.603, "pop": 127, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 2, "country": "Kenya", "fertility": 7.816, "life_expect": 44.686, "pop": 7, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Kenya", "fertility": 8.12, "life_expect": 47.949, "pop": 8, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Kenya", "fertility": 8.12, "life_expect": 50.654, "pop": 10, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Kenya", "fertility": 8, "life_expect": 53.559, "pop": 11, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Kenya", "fertility": 7.6, "life_expect": 56.155, "pop": 13, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Kenya", "fertility": 7.2, "life_expect": 58.766, "pop": 16, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Kenya", "fertility": 6.5, "life_expect": 59.339, "pop": 20, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Kenya", "fertility": 5.4, "life_expect": 59.285, "pop": 23, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Kenya", "fertility": 5, "life_expect": 54.407, "pop": 27, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Kenya", "fertility": 5, "life_expect": 50.992, "pop": 30, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Kenya", "fertility": 4.959, "life_expect": 54.11, "pop": 34, "region": "Africa", "year": 2005 }, { "cluster": 3, "country": "Mexico", "fertility": 6.8, "life_expect": 55.19, "pop": 33, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Mexico", "fertility": 6.7495, "life_expect": 58.299, "pop": 39, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Mexico", "fertility": 6.7495, "life_expect": 60.11, "pop": 45, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Mexico", "fertility": 6.5, "life_expect": 62.361, "pop": 53, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Mexico", "fertility": 5.2505, "life_expect": 65.032, "pop": 61, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Mexico", "fertility": 4.25, "life_expect": 67.405, "pop": 68, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Mexico", "fertility": 3.6295, "life_expect": 69.498, "pop": 77, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Mexico", "fertility": 3.1905, "life_expect": 71.455, "pop": 85, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Mexico", "fertility": 2.6705, "life_expect": 73.67, "pop": 93, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Mexico", "fertility": 2.4005, "life_expect": 74.902, "pop": 100, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Mexico", "fertility": 2.211, "life_expect": 76.195, "pop": 106, "region": "Americas", "year": 2005 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 37.802, "pop": 35, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 39.36, "pop": 40, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 41.04, "pop": 45, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 42.821, "pop": 51, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 44.514, "pop": 59, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 45.826, "pop": 69, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.834, "life_expect": 46.886, "pop": 78, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.635, "life_expect": 47.472, "pop": 89, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.246, "life_expect": 47.464, "pop": 101, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Nigeria", "fertility": 5.845, "life_expect": 46.608, "pop": 114, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Nigeria", "fertility": 5.322, "life_expect": 46.859, "pop": 129, "region": "Africa", "year": 2005 }, { "cluster": 4, "country": "North Korea", "fertility": 6.332, "life_expect": 52.681, "pop": 22, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "North Korea", "fertility": 5.63, "life_expect": 55.292, "pop": 25, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "North Korea", "fertility": 4.708, "life_expect": 57.716, "pop": 29, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "North Korea", "fertility": 4.281, "life_expect": 62.612, "pop": 32, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "North Korea", "fertility": 2.919, "life_expect": 64.766, "pop": 35, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "North Korea", "fertility": 2.234, "life_expect": 67.123, "pop": 38, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "North Korea", "fertility": 1.601, "life_expect": 69.81, "pop": 41, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "North Korea", "fertility": 1.6960000000000002, "life_expect": 72.244, "pop": 43, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "North Korea", "fertility": 1.514, "life_expect": 74.647, "pop": 45, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "North Korea", "fertility": 1.242, "life_expect": 77.045, "pop": 47, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "North Korea", "fertility": 1.21, "life_expect": 78.623, "pop": 49, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 45.557, "pop": 44, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 47.67, "pop": 50, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 49.8, "pop": 57, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 51.929, "pop": 66, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 54.043, "pop": 75, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 56.158, "pop": 85, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.66, "life_expect": 58.245, "pop": 99, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Pakistan", "fertility": 5.8, "life_expect": 60.838, "pop": 115, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Pakistan", "fertility": 4.9596, "life_expect": 61.818, "pop": 129, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Pakistan", "fertility": 3.9936, "life_expect": 63.61, "pop": 146, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Pakistan", "fertility": 3.5211, "life_expect": 65.483, "pop": 162, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 4, "country": "Philippines", "fertility": 7.13, "life_expect": 51.334, "pop": 25, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Philippines", "fertility": 6.85, "life_expect": 54.757, "pop": 29, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Philippines", "fertility": 6.5, "life_expect": 56.393, "pop": 33, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Philippines", "fertility": 6, "life_expect": 58.065, "pop": 39, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Philippines", "fertility": 5.5, "life_expect": 60.06, "pop": 44, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Philippines", "fertility": 4.95, "life_expect": 62.082, "pop": 51, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Philippines", "fertility": 4.55, "life_expect": 64.151, "pop": 57, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Philippines", "fertility": 4.143, "life_expect": 66.458, "pop": 64, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Philippines", "fertility": 3.7248, "life_expect": 68.564, "pop": 72, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Philippines", "fertility": 3.5436, "life_expect": 70.303, "pop": 80, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Philippines", "fertility": 3.2327, "life_expect": 71.688, "pop": 88, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 2, "country": "Rwanda", "fertility": 8, "life_expect": 41.5, "pop": 3, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.1, "life_expect": 43, "pop": 3, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.2, "life_expect": 44.1, "pop": 3, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.29, "life_expect": 44.6, "pop": 4, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.492, "life_expect": 45, "pop": 4, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.5, "life_expect": 46.218, "pop": 5, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.25, "life_expect": 44.02, "pop": 6, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.9, "life_expect": 23.599, "pop": 7, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.0993, "life_expect": 36.087, "pop": 6, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.01, "life_expect": 43.413, "pop": 8, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Rwanda", "fertility": 5.9169, "life_expect": 46.242, "pop": 8, "region": "Africa", "year": 2005 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.175, "life_expect": 42.868, "pop": 4, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.257, "life_expect": 45.914, "pop": 5, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.257, "life_expect": 49.901, "pop": 5, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.298, "life_expect": 53.886, "pop": 6, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.2780000000000005, "life_expect": 58.69, "pop": 7, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.015, "life_expect": 63.012, "pop": 10, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 6.217, "life_expect": 66.295, "pop": 13, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 5.446, "life_expect": 68.768, "pop": 16, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 4.621, "life_expect": 70.533, "pop": 20, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 3.81, "life_expect": 71.626, "pop": 23, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 3.352, "life_expect": 72.777, "pop": 26, "region": "Middle East", "year": 2005 }, { "cluster": 2, "country": "South Africa", "fertility": 6.5, "life_expect": 47.985, "pop": 15, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "South Africa", "fertility": 6.3, "life_expect": 49.951, "pop": 17, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "South Africa", "fertility": 5.7, "life_expect": 51.927, "pop": 20, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "South Africa", "fertility": 5.47, "life_expect": 53.696, "pop": 23, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "South Africa", "fertility": 5, "life_expect": 55.527, "pop": 26, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "South Africa", "fertility": 4.556, "life_expect": 58.161, "pop": 29, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "South Africa", "fertility": 3.85, "life_expect": 60.834, "pop": 34, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "South Africa", "fertility": 3.343, "life_expect": 61.888, "pop": 38, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "South Africa", "fertility": 2.954, "life_expect": 60.236, "pop": 42, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "South Africa", "fertility": 2.802, "life_expect": 53.365, "pop": 44, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "South Africa", "fertility": 2.637, "life_expect": 49.339, "pop": 44, "region": "Africa", "year": 2005 }, { "cluster": 1, "country": "Turkey", "fertility": 6.6, "life_expect": 48.079, "pop": 24, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Turkey", "fertility": 6.19, "life_expect": 52.098, "pop": 28, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Turkey", "fertility": 5.7, "life_expect": 54.336, "pop": 32, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Turkey", "fertility": 5.3, "life_expect": 57.005, "pop": 36, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Turkey", "fertility": 4.715, "life_expect": 59.507, "pop": 41, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Turkey", "fertility": 4.15, "life_expect": 61.036, "pop": 45, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Turkey", "fertility": 3.276, "life_expect": 63.108, "pop": 51, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Turkey", "fertility": 2.904, "life_expect": 66.146, "pop": 56, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Turkey", "fertility": 2.574, "life_expect": 68.835, "pop": 61, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Turkey", "fertility": 2.23, "life_expect": 70.845, "pop": 66, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Turkey", "fertility": 2.143, "life_expect": 71.777, "pop": 70, "region": "Europe", "year": 2005 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.49, "life_expect": 70.42, "pop": 51, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.81, "life_expect": 70.76, "pop": 52, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.52, "life_expect": 71.36, "pop": 54, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.04, "life_expect": 72.01, "pop": 56, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.72, "life_expect": 72.76, "pop": 56, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.8, "life_expect": 74.04, "pop": 56, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.81, "life_expect": 75.007, "pop": 57, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.78, "life_expect": 76.42, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.7000000000000002, "life_expect": 77.218, "pop": 58, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.695, "life_expect": 78.471, "pop": 60, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.815, "life_expect": 79.425, "pop": 60, "region": "Europe", "year": 2005 }, { "cluster": 3, "country": "United States", "fertility": 3.706, "life_expect": 69.49, "pop": 166, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "United States", "fertility": 3.314, "life_expect": 70.21, "pop": 181, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "United States", "fertility": 2.545, "life_expect": 70.76, "pop": 194, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "United States", "fertility": 2.016, "life_expect": 71.34, "pop": 205, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "United States", "fertility": 1.788, "life_expect": 73.38, "pop": 216, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "United States", "fertility": 1.8250000000000002, "life_expect": 74.65, "pop": 228, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "United States", "fertility": 1.924, "life_expect": 75.02, "pop": 238, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "United States", "fertility": 2.025, "life_expect": 76.09, "pop": 250, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "United States", "fertility": 1.994, "life_expect": 76.81, "pop": 267, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "United States", "fertility": 2.038, "life_expect": 77.31, "pop": 282, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "United States", "fertility": 2.054, "life_expect": 78.242, "pop": 296, "region": "Americas", "year": 2005 } ] }, "encoding": { "color": { "field": "region", "type": "nominal" }, "x": { "field": "life_expect", "type": "quantitative" }, "y": { "field": "fertility", "type": "quantitative" } }, "mark": "point" }, "image/png": "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", "text/plain": [ "<VegaLite 3 object>\n", "\n", "If you see this message, it means the renderer has not been properly enabled\n", "for the frontend that you are using. For more information, see\n", "https://altair-viz.github.io/user_guide/troubleshooting.html\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# base chart\n", "chart = alt.Chart(\n", " df\n", ").mark_point(\n", ").encode(\n", " x='life_expect',\n", " y='fertility',\n", " color='region:N'\n", ")\n", "\n", "chart.display()" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "application/vnd.vegalite.v3+json": { "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json", "config": { "mark": { "tooltip": null }, "view": { "height": 300, "width": 400 } }, "data": { "name": "data-eb55b3c04935b1d5bce4fa9a8c24136b" }, "datasets": { "data-eb55b3c04935b1d5bce4fa9a8c24136b": [ { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 30.332, "pop": 9, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 31.997, "pop": 10, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 34.02, "pop": 11, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 36.088, "pop": 12, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 38.438, "pop": 14, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.8, "life_expect": 39.854, "pop": 15, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.9, "life_expect": 40.822, "pop": 14, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Afghanistan", "fertility": 8, "life_expect": 41.674, "pop": 15, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Afghanistan", "fertility": 8, "life_expect": 41.763, "pop": 21, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.4792, "life_expect": 42.129, "pop": 24, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.0685, "life_expect": 43.828, "pop": 30, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 3, "country": "Argentina", "fertility": 3.1265, "life_expect": 64.399, "pop": 19, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Argentina", "fertility": 3.0895, "life_expect": 65.142, "pop": 21, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Argentina", "fertility": 3.049, "life_expect": 65.634, "pop": 22, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Argentina", "fertility": 3.1455, "life_expect": 67.065, "pop": 24, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Argentina", "fertility": 3.44, "life_expect": 68.481, "pop": 26, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Argentina", "fertility": 3.15, "life_expect": 69.942, "pop": 28, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Argentina", "fertility": 3.053, "life_expect": 70.774, "pop": 31, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Argentina", "fertility": 2.9, "life_expect": 71.868, "pop": 33, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Argentina", "fertility": 2.63, "life_expect": 73.275, "pop": 35, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Argentina", "fertility": 2.35, "life_expect": 74.34, "pop": 37, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Argentina", "fertility": 2.254, "life_expect": 75.32, "pop": 40, "region": "Americas", "year": 2005 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.76, "life_expect": 39.348, "pop": 50, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.85, "life_expect": 41.216, "pop": 55, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.6, "life_expect": 43.453, "pop": 60, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.15, "life_expect": 45.252, "pop": 67, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Bangladesh", "fertility": 5.6, "life_expect": 46.923, "pop": 76, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Bangladesh", "fertility": 5.25, "life_expect": 50.009, "pop": 88, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Bangladesh", "fertility": 4.629, "life_expect": 52.819, "pop": 100, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Bangladesh", "fertility": 4.117, "life_expect": 56.018, "pop": 110, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Bangladesh", "fertility": 3.5042999999999997, "life_expect": 59.412, "pop": 119, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Bangladesh", "fertility": 3.224, "life_expect": 62.013, "pop": 130, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Bangladesh", "fertility": 2.826, "life_expect": 64.062, "pop": 144, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 3, "country": "Brazil", "fertility": 6.1501, "life_expect": 53.285, "pop": 62, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Brazil", "fertility": 6.1501, "life_expect": 55.665, "pop": 72, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Brazil", "fertility": 5.38, "life_expect": 57.632, "pop": 83, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Brazil", "fertility": 4.7175, "life_expect": 59.504, "pop": 96, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Brazil", "fertility": 4.305, "life_expect": 61.489, "pop": 109, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Brazil", "fertility": 3.8, "life_expect": 63.336, "pop": 123, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Brazil", "fertility": 3.1, "life_expect": 65.205, "pop": 137, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Brazil", "fertility": 2.6, "life_expect": 67.057, "pop": 151, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Brazil", "fertility": 2.45, "life_expect": 69.388, "pop": 164, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Brazil", "fertility": 2.345, "life_expect": 71.006, "pop": 176, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Brazil", "fertility": 2.245, "life_expect": 72.39, "pop": 186, "region": "Americas", "year": 2005 }, { "cluster": 4, "country": "China", "fertility": 5.59, "life_expect": 50.54896, "pop": 609, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "China", "fertility": 5.72, "life_expect": 44.50136, "pop": 667, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "China", "fertility": 6.06, "life_expect": 58.38112, "pop": 715, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "China", "fertility": 4.86, "life_expect": 63.11888, "pop": 818, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "China", "fertility": 3.32, "life_expect": 63.96736, "pop": 916, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "China", "fertility": 2.55, "life_expect": 65.525, "pop": 981, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "China", "fertility": 2.46, "life_expect": 67.274, "pop": 1051, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "China", "fertility": 1.92, "life_expect": 68.69, "pop": 1135, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "China", "fertility": 1.7810000000000001, "life_expect": 70.426, "pop": 1205, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "China", "fertility": 1.7000000000000002, "life_expect": 72.028, "pop": 1263, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "China", "fertility": 1.725, "life_expect": 72.961, "pop": 1303, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 3, "country": "Colombia", "fertility": 6.76, "life_expect": 55.118, "pop": 14, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Colombia", "fertility": 6.76, "life_expect": 57.863, "pop": 16, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Colombia", "fertility": 6.18, "life_expect": 59.963, "pop": 19, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Colombia", "fertility": 5.0005, "life_expect": 61.623, "pop": 21, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Colombia", "fertility": 4.3385, "life_expect": 63.837, "pop": 24, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Colombia", "fertility": 3.685, "life_expect": 66.653, "pop": 27, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Colombia", "fertility": 3.172, "life_expect": 67.768, "pop": 30, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Colombia", "fertility": 2.93005, "life_expect": 68.421, "pop": 33, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Colombia", "fertility": 2.7, "life_expect": 70.313, "pop": 36, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Colombia", "fertility": 2.4705, "life_expect": 71.682, "pop": 40, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Colombia", "fertility": 2.2205, "life_expect": 72.889, "pop": 43, "region": "Americas", "year": 2005 }, { "cluster": 5, "country": "Egypt", "fertility": 6.97, "life_expect": 44.444, "pop": 24, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Egypt", "fertility": 7.073, "life_expect": 46.992, "pop": 27, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Egypt", "fertility": 6.5600000000000005, "life_expect": 49.293, "pop": 30, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Egypt", "fertility": 5.855, "life_expect": 51.137, "pop": 34, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Egypt", "fertility": 5.609, "life_expect": 53.319, "pop": 37, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Egypt", "fertility": 5.332, "life_expect": 56.006, "pop": 43, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Egypt", "fertility": 4.833, "life_expect": 59.797, "pop": 50, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Egypt", "fertility": 3.908, "life_expect": 63.674, "pop": 57, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Egypt", "fertility": 3.5, "life_expect": 67.217, "pop": 63, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Egypt", "fertility": 3.174, "life_expect": 69.806, "pop": 70, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Egypt", "fertility": 2.891, "life_expect": 71.338, "pop": 78, "region": "Middle East", "year": 2005 }, { "cluster": 1, "country": "France", "fertility": 2.7119999999999997, "life_expect": 68.93, "pop": 43, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "France", "fertility": 2.85, "life_expect": 70.51, "pop": 46, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "France", "fertility": 2.607, "life_expect": 71.55, "pop": 49, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "France", "fertility": 2.31, "life_expect": 72.38, "pop": 51, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "France", "fertility": 1.862, "life_expect": 73.83, "pop": 53, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "France", "fertility": 1.866, "life_expect": 74.89, "pop": 54, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "France", "fertility": 1.8050000000000002, "life_expect": 76.34, "pop": 55, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "France", "fertility": 1.713, "life_expect": 77.46, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "France", "fertility": 1.7624, "life_expect": 78.64, "pop": 58, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "France", "fertility": 1.8833000000000002, "life_expect": 79.59, "pop": 59, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "France", "fertility": 1.8916, "life_expect": 80.657, "pop": 61, "region": "Europe", "year": 2005 }, { "cluster": 1, "country": "Germany", "fertility": 2.3, "life_expect": 69.1, "pop": 70, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Germany", "fertility": 2.49, "life_expect": 70.3, "pop": 72, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Germany", "fertility": 2.32, "life_expect": 70.8, "pop": 76, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Germany", "fertility": 1.6400000000000001, "life_expect": 71, "pop": 78, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Germany", "fertility": 1.52, "life_expect": 72.5, "pop": 79, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Germany", "fertility": 1.46, "life_expect": 73.8, "pop": 78, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Germany", "fertility": 1.43, "life_expect": 74.847, "pop": 78, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Germany", "fertility": 1.31, "life_expect": 76.07, "pop": 79, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Germany", "fertility": 1.34, "life_expect": 77.34, "pop": 82, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Germany", "fertility": 1.346, "life_expect": 78.67, "pop": 82, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Germany", "fertility": 1.3599999999999999, "life_expect": 79.406, "pop": 82, "region": "Europe", "year": 2005 }, { "cluster": 0, "country": "India", "fertility": 5.8961, "life_expect": 40.249, "pop": 393, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "India", "fertility": 5.8216, "life_expect": 43.605, "pop": 434, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "India", "fertility": 5.6058, "life_expect": 47.193, "pop": 485, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "India", "fertility": 5.264, "life_expect": 50.651, "pop": 541, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "India", "fertility": 4.8888, "life_expect": 54.208, "pop": 607, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "India", "fertility": 4.4975, "life_expect": 56.596, "pop": 679, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "India", "fertility": 4.15, "life_expect": 58.553, "pop": 755, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "India", "fertility": 3.8648, "life_expect": 60.223, "pop": 839, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "India", "fertility": 3.4551, "life_expect": 61.765, "pop": 927, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "India", "fertility": 3.1132, "life_expect": 62.879, "pop": 1008, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "India", "fertility": 2.8073, "life_expect": 64.698, "pop": 1080, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.672, "life_expect": 39.918, "pop": 87, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.62, "life_expect": 42.518, "pop": 95, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.568, "life_expect": 45.964, "pop": 105, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.3, "life_expect": 49.203, "pop": 116, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Indonesia", "fertility": 4.73, "life_expect": 52.702, "pop": 130, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Indonesia", "fertility": 4.109, "life_expect": 56.159, "pop": 147, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Indonesia", "fertility": 3.4, "life_expect": 60.137, "pop": 163, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.9, "life_expect": 62.681, "pop": 178, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.55, "life_expect": 66.041, "pop": 195, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.3761, "life_expect": 68.588, "pop": 206, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.182, "life_expect": 70.65, "pop": 218, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 5, "country": "Iran", "fertility": 7, "life_expect": 47.181, "pop": 19, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Iran", "fertility": 7, "life_expect": 49.325, "pop": 22, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Iran", "fertility": 6.8, "life_expect": 52.469, "pop": 25, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Iran", "fertility": 6.4, "life_expect": 55.234, "pop": 29, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Iran", "fertility": 6.5, "life_expect": 57.702, "pop": 33, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Iran", "fertility": 6.63, "life_expect": 59.62, "pop": 40, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Iran", "fertility": 5.62, "life_expect": 63.04, "pop": 48, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Iran", "fertility": 4.328, "life_expect": 65.742, "pop": 57, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Iran", "fertility": 2.534, "life_expect": 68.042, "pop": 62, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Iran", "fertility": 2.124, "life_expect": 69.451, "pop": 66, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Iran", "fertility": 2.04, "life_expect": 70.964, "pop": 68, "region": "Middle East", "year": 2005 }, { "cluster": 5, "country": "Iraq", "fertility": 7.3, "life_expect": 48.437, "pop": 6, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Iraq", "fertility": 7.25, "life_expect": 51.457, "pop": 7, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Iraq", "fertility": 7.2, "life_expect": 54.459, "pop": 8, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Iraq", "fertility": 7.15, "life_expect": 56.95, "pop": 9, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Iraq", "fertility": 6.8, "life_expect": 60.413, "pop": 11, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Iraq", "fertility": 6.35, "life_expect": 62.038, "pop": 13, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Iraq", "fertility": 6.15, "life_expect": 65.044, "pop": 16, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Iraq", "fertility": 5.7, "life_expect": 59.461, "pop": 18, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Iraq", "fertility": 5.37, "life_expect": 58.811, "pop": 20, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Iraq", "fertility": 4.858, "life_expect": 57.046, "pop": 23, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Iraq", "fertility": 4.264, "life_expect": 59.545, "pop": 26, "region": "Middle East", "year": 2005 }, { "cluster": 5, "country": "Israel", "fertility": 3.893, "life_expect": 67.84, "pop": 2, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Israel", "fertility": 3.852, "life_expect": 69.39, "pop": 2, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Israel", "fertility": 3.79, "life_expect": 70.75, "pop": 3, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Israel", "fertility": 3.77, "life_expect": 71.63, "pop": 3, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Israel", "fertility": 3.409, "life_expect": 73.06, "pop": 3, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Israel", "fertility": 3.125, "life_expect": 74.45, "pop": 4, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Israel", "fertility": 3.051, "life_expect": 75.6, "pop": 4, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Israel", "fertility": 2.933, "life_expect": 76.93, "pop": 5, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Israel", "fertility": 2.942, "life_expect": 78.269, "pop": 5, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Israel", "fertility": 2.906, "life_expect": 79.696, "pop": 6, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Israel", "fertility": 2.75, "life_expect": 80.745, "pop": 6, "region": "Middle East", "year": 2005 }, { "cluster": 1, "country": "Italy", "fertility": 2.35, "life_expect": 67.81, "pop": 49, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Italy", "fertility": 2.498, "life_expect": 69.24, "pop": 50, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Italy", "fertility": 2.493, "life_expect": 71.06, "pop": 52, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Italy", "fertility": 2.325, "life_expect": 72.19, "pop": 54, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Italy", "fertility": 1.889, "life_expect": 73.48, "pop": 56, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Italy", "fertility": 1.53, "life_expect": 74.98, "pop": 56, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Italy", "fertility": 1.349, "life_expect": 76.42, "pop": 57, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Italy", "fertility": 1.275, "life_expect": 77.44, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Italy", "fertility": 1.213, "life_expect": 78.82, "pop": 57, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Italy", "fertility": 1.286, "life_expect": 80.24, "pop": 58, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Italy", "fertility": 1.379, "life_expect": 80.546, "pop": 58, "region": "Europe", "year": 2005 }, { "cluster": 4, "country": "Japan", "fertility": 2.08, "life_expect": 65.5, "pop": 90, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Japan", "fertility": 2.02, "life_expect": 68.73, "pop": 94, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Japan", "fertility": 2, "life_expect": 71.43, "pop": 99, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Japan", "fertility": 2.07, "life_expect": 73.42, "pop": 104, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Japan", "fertility": 1.81, "life_expect": 75.38, "pop": 112, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Japan", "fertility": 1.76, "life_expect": 77.11, "pop": 117, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Japan", "fertility": 1.6600000000000001, "life_expect": 78.67, "pop": 121, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Japan", "fertility": 1.49, "life_expect": 79.36, "pop": 124, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Japan", "fertility": 1.3900000000000001, "life_expect": 80.69, "pop": 125, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Japan", "fertility": 1.291, "life_expect": 82, "pop": 127, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Japan", "fertility": 1.27, "life_expect": 82.603, "pop": 127, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 2, "country": "Kenya", "fertility": 7.816, "life_expect": 44.686, "pop": 7, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Kenya", "fertility": 8.12, "life_expect": 47.949, "pop": 8, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Kenya", "fertility": 8.12, "life_expect": 50.654, "pop": 10, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Kenya", "fertility": 8, "life_expect": 53.559, "pop": 11, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Kenya", "fertility": 7.6, "life_expect": 56.155, "pop": 13, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Kenya", "fertility": 7.2, "life_expect": 58.766, "pop": 16, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Kenya", "fertility": 6.5, "life_expect": 59.339, "pop": 20, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Kenya", "fertility": 5.4, "life_expect": 59.285, "pop": 23, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Kenya", "fertility": 5, "life_expect": 54.407, "pop": 27, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Kenya", "fertility": 5, "life_expect": 50.992, "pop": 30, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Kenya", "fertility": 4.959, "life_expect": 54.11, "pop": 34, "region": "Africa", "year": 2005 }, { "cluster": 3, "country": "Mexico", "fertility": 6.8, "life_expect": 55.19, "pop": 33, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Mexico", "fertility": 6.7495, "life_expect": 58.299, "pop": 39, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Mexico", "fertility": 6.7495, "life_expect": 60.11, "pop": 45, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Mexico", "fertility": 6.5, "life_expect": 62.361, "pop": 53, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Mexico", "fertility": 5.2505, "life_expect": 65.032, "pop": 61, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Mexico", "fertility": 4.25, "life_expect": 67.405, "pop": 68, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Mexico", "fertility": 3.6295, "life_expect": 69.498, "pop": 77, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Mexico", "fertility": 3.1905, "life_expect": 71.455, "pop": 85, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Mexico", "fertility": 2.6705, "life_expect": 73.67, "pop": 93, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Mexico", "fertility": 2.4005, "life_expect": 74.902, "pop": 100, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Mexico", "fertility": 2.211, "life_expect": 76.195, "pop": 106, "region": "Americas", "year": 2005 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 37.802, "pop": 35, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 39.36, "pop": 40, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 41.04, "pop": 45, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 42.821, "pop": 51, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 44.514, "pop": 59, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 45.826, "pop": 69, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.834, "life_expect": 46.886, "pop": 78, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.635, "life_expect": 47.472, "pop": 89, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.246, "life_expect": 47.464, "pop": 101, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Nigeria", "fertility": 5.845, "life_expect": 46.608, "pop": 114, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Nigeria", "fertility": 5.322, "life_expect": 46.859, "pop": 129, "region": "Africa", "year": 2005 }, { "cluster": 4, "country": "North Korea", "fertility": 6.332, "life_expect": 52.681, "pop": 22, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "North Korea", "fertility": 5.63, "life_expect": 55.292, "pop": 25, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "North Korea", "fertility": 4.708, "life_expect": 57.716, "pop": 29, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "North Korea", "fertility": 4.281, "life_expect": 62.612, "pop": 32, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "North Korea", "fertility": 2.919, "life_expect": 64.766, "pop": 35, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "North Korea", "fertility": 2.234, "life_expect": 67.123, "pop": 38, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "North Korea", "fertility": 1.601, "life_expect": 69.81, "pop": 41, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "North Korea", "fertility": 1.6960000000000002, "life_expect": 72.244, "pop": 43, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "North Korea", "fertility": 1.514, "life_expect": 74.647, "pop": 45, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "North Korea", "fertility": 1.242, "life_expect": 77.045, "pop": 47, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "North Korea", "fertility": 1.21, "life_expect": 78.623, "pop": 49, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 45.557, "pop": 44, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 47.67, "pop": 50, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 49.8, "pop": 57, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 51.929, "pop": 66, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 54.043, "pop": 75, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 56.158, "pop": 85, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.66, "life_expect": 58.245, "pop": 99, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Pakistan", "fertility": 5.8, "life_expect": 60.838, "pop": 115, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Pakistan", "fertility": 4.9596, "life_expect": 61.818, "pop": 129, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Pakistan", "fertility": 3.9936, "life_expect": 63.61, "pop": 146, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Pakistan", "fertility": 3.5211, "life_expect": 65.483, "pop": 162, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 4, "country": "Philippines", "fertility": 7.13, "life_expect": 51.334, "pop": 25, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Philippines", "fertility": 6.85, "life_expect": 54.757, "pop": 29, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Philippines", "fertility": 6.5, "life_expect": 56.393, "pop": 33, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Philippines", "fertility": 6, "life_expect": 58.065, "pop": 39, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Philippines", "fertility": 5.5, "life_expect": 60.06, "pop": 44, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Philippines", "fertility": 4.95, "life_expect": 62.082, "pop": 51, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Philippines", "fertility": 4.55, "life_expect": 64.151, "pop": 57, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Philippines", "fertility": 4.143, "life_expect": 66.458, "pop": 64, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Philippines", "fertility": 3.7248, "life_expect": 68.564, "pop": 72, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Philippines", "fertility": 3.5436, "life_expect": 70.303, "pop": 80, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Philippines", "fertility": 3.2327, "life_expect": 71.688, "pop": 88, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 2, "country": "Rwanda", "fertility": 8, "life_expect": 41.5, "pop": 3, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.1, "life_expect": 43, "pop": 3, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.2, "life_expect": 44.1, "pop": 3, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.29, "life_expect": 44.6, "pop": 4, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.492, "life_expect": 45, "pop": 4, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.5, "life_expect": 46.218, "pop": 5, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.25, "life_expect": 44.02, "pop": 6, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.9, "life_expect": 23.599, "pop": 7, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.0993, "life_expect": 36.087, "pop": 6, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.01, "life_expect": 43.413, "pop": 8, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Rwanda", "fertility": 5.9169, "life_expect": 46.242, "pop": 8, "region": "Africa", "year": 2005 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.175, "life_expect": 42.868, "pop": 4, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.257, "life_expect": 45.914, "pop": 5, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.257, "life_expect": 49.901, "pop": 5, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.298, "life_expect": 53.886, "pop": 6, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.2780000000000005, "life_expect": 58.69, "pop": 7, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.015, "life_expect": 63.012, "pop": 10, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 6.217, "life_expect": 66.295, "pop": 13, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 5.446, "life_expect": 68.768, "pop": 16, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 4.621, "life_expect": 70.533, "pop": 20, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 3.81, "life_expect": 71.626, "pop": 23, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 3.352, "life_expect": 72.777, "pop": 26, "region": "Middle East", "year": 2005 }, { "cluster": 2, "country": "South Africa", "fertility": 6.5, "life_expect": 47.985, "pop": 15, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "South Africa", "fertility": 6.3, "life_expect": 49.951, "pop": 17, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "South Africa", "fertility": 5.7, "life_expect": 51.927, "pop": 20, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "South Africa", "fertility": 5.47, "life_expect": 53.696, "pop": 23, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "South Africa", "fertility": 5, "life_expect": 55.527, "pop": 26, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "South Africa", "fertility": 4.556, "life_expect": 58.161, "pop": 29, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "South Africa", "fertility": 3.85, "life_expect": 60.834, "pop": 34, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "South Africa", "fertility": 3.343, "life_expect": 61.888, "pop": 38, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "South Africa", "fertility": 2.954, "life_expect": 60.236, "pop": 42, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "South Africa", "fertility": 2.802, "life_expect": 53.365, "pop": 44, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "South Africa", "fertility": 2.637, "life_expect": 49.339, "pop": 44, "region": "Africa", "year": 2005 }, { "cluster": 1, "country": "Turkey", "fertility": 6.6, "life_expect": 48.079, "pop": 24, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Turkey", "fertility": 6.19, "life_expect": 52.098, "pop": 28, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Turkey", "fertility": 5.7, "life_expect": 54.336, "pop": 32, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Turkey", "fertility": 5.3, "life_expect": 57.005, "pop": 36, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Turkey", "fertility": 4.715, "life_expect": 59.507, "pop": 41, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Turkey", "fertility": 4.15, "life_expect": 61.036, "pop": 45, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Turkey", "fertility": 3.276, "life_expect": 63.108, "pop": 51, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Turkey", "fertility": 2.904, "life_expect": 66.146, "pop": 56, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Turkey", "fertility": 2.574, "life_expect": 68.835, "pop": 61, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Turkey", "fertility": 2.23, "life_expect": 70.845, "pop": 66, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Turkey", "fertility": 2.143, "life_expect": 71.777, "pop": 70, "region": "Europe", "year": 2005 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.49, "life_expect": 70.42, "pop": 51, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.81, "life_expect": 70.76, "pop": 52, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.52, "life_expect": 71.36, "pop": 54, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.04, "life_expect": 72.01, "pop": 56, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.72, "life_expect": 72.76, "pop": 56, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.8, "life_expect": 74.04, "pop": 56, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.81, "life_expect": 75.007, "pop": 57, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.78, "life_expect": 76.42, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.7000000000000002, "life_expect": 77.218, "pop": 58, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.695, "life_expect": 78.471, "pop": 60, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.815, "life_expect": 79.425, "pop": 60, "region": "Europe", "year": 2005 }, { "cluster": 3, "country": "United States", "fertility": 3.706, "life_expect": 69.49, "pop": 166, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "United States", "fertility": 3.314, "life_expect": 70.21, "pop": 181, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "United States", "fertility": 2.545, "life_expect": 70.76, "pop": 194, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "United States", "fertility": 2.016, "life_expect": 71.34, "pop": 205, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "United States", "fertility": 1.788, "life_expect": 73.38, "pop": 216, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "United States", "fertility": 1.8250000000000002, "life_expect": 74.65, "pop": 228, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "United States", "fertility": 1.924, "life_expect": 75.02, "pop": 238, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "United States", "fertility": 2.025, "life_expect": 76.09, "pop": 250, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "United States", "fertility": 1.994, "life_expect": 76.81, "pop": 267, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "United States", "fertility": 2.038, "life_expect": 77.31, "pop": 282, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "United States", "fertility": 2.054, "life_expect": 78.242, "pop": 296, "region": "Americas", "year": 2005 } ] }, "encoding": { "color": { "field": "region", "type": "nominal" }, "size": { "field": "pop", "type": "quantitative" }, "x": { "field": "life_expect", "type": "quantitative" }, "y": { "field": "fertility", "type": "quantitative" } }, "mark": "circle" }, "image/png": "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", "text/plain": [ "<VegaLite 3 object>\n", "\n", "If you see this message, it means the renderer has not been properly enabled\n", "for the frontend that you are using. For more information, see\n", "https://altair-viz.github.io/user_guide/troubleshooting.html\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "chart = alt.Chart(\n", " df\n", ").mark_circle( # circles instead of points\n", ").encode(\n", " x='life_expect',\n", " y='fertility',\n", " color='region:N',\n", " size='pop' # population maps to circle size\n", ")\n", "\n", "chart.display()" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "application/vnd.vegalite.v3+json": { "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json", "config": { "mark": { "tooltip": null }, "view": { "height": 300, "width": 400 } }, "data": { "name": "data-eb55b3c04935b1d5bce4fa9a8c24136b" }, "datasets": { "data-eb55b3c04935b1d5bce4fa9a8c24136b": [ { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 30.332, "pop": 9, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 31.997, "pop": 10, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 34.02, "pop": 11, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 36.088, "pop": 12, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 38.438, "pop": 14, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.8, "life_expect": 39.854, "pop": 15, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.9, "life_expect": 40.822, "pop": 14, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Afghanistan", "fertility": 8, "life_expect": 41.674, "pop": 15, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Afghanistan", "fertility": 8, "life_expect": 41.763, "pop": 21, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.4792, "life_expect": 42.129, "pop": 24, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.0685, "life_expect": 43.828, "pop": 30, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 3, "country": "Argentina", "fertility": 3.1265, "life_expect": 64.399, "pop": 19, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Argentina", "fertility": 3.0895, "life_expect": 65.142, "pop": 21, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Argentina", "fertility": 3.049, "life_expect": 65.634, "pop": 22, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Argentina", "fertility": 3.1455, "life_expect": 67.065, "pop": 24, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Argentina", "fertility": 3.44, "life_expect": 68.481, "pop": 26, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Argentina", "fertility": 3.15, "life_expect": 69.942, "pop": 28, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Argentina", "fertility": 3.053, "life_expect": 70.774, "pop": 31, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Argentina", "fertility": 2.9, "life_expect": 71.868, "pop": 33, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Argentina", "fertility": 2.63, "life_expect": 73.275, "pop": 35, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Argentina", "fertility": 2.35, "life_expect": 74.34, "pop": 37, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Argentina", "fertility": 2.254, "life_expect": 75.32, "pop": 40, "region": "Americas", "year": 2005 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.76, "life_expect": 39.348, "pop": 50, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.85, "life_expect": 41.216, "pop": 55, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.6, "life_expect": 43.453, "pop": 60, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.15, "life_expect": 45.252, "pop": 67, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Bangladesh", "fertility": 5.6, "life_expect": 46.923, "pop": 76, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Bangladesh", "fertility": 5.25, "life_expect": 50.009, "pop": 88, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Bangladesh", "fertility": 4.629, "life_expect": 52.819, "pop": 100, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Bangladesh", "fertility": 4.117, "life_expect": 56.018, "pop": 110, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Bangladesh", "fertility": 3.5042999999999997, "life_expect": 59.412, "pop": 119, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Bangladesh", "fertility": 3.224, "life_expect": 62.013, "pop": 130, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Bangladesh", "fertility": 2.826, "life_expect": 64.062, "pop": 144, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 3, "country": "Brazil", "fertility": 6.1501, "life_expect": 53.285, "pop": 62, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Brazil", "fertility": 6.1501, "life_expect": 55.665, "pop": 72, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Brazil", "fertility": 5.38, "life_expect": 57.632, "pop": 83, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Brazil", "fertility": 4.7175, "life_expect": 59.504, "pop": 96, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Brazil", "fertility": 4.305, "life_expect": 61.489, "pop": 109, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Brazil", "fertility": 3.8, "life_expect": 63.336, "pop": 123, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Brazil", "fertility": 3.1, "life_expect": 65.205, "pop": 137, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Brazil", "fertility": 2.6, "life_expect": 67.057, "pop": 151, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Brazil", "fertility": 2.45, "life_expect": 69.388, "pop": 164, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Brazil", "fertility": 2.345, "life_expect": 71.006, "pop": 176, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Brazil", "fertility": 2.245, "life_expect": 72.39, "pop": 186, "region": "Americas", "year": 2005 }, { "cluster": 4, "country": "China", "fertility": 5.59, "life_expect": 50.54896, "pop": 609, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "China", "fertility": 5.72, "life_expect": 44.50136, "pop": 667, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "China", "fertility": 6.06, "life_expect": 58.38112, "pop": 715, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "China", "fertility": 4.86, "life_expect": 63.11888, "pop": 818, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "China", "fertility": 3.32, "life_expect": 63.96736, "pop": 916, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "China", "fertility": 2.55, "life_expect": 65.525, "pop": 981, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "China", "fertility": 2.46, "life_expect": 67.274, "pop": 1051, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "China", "fertility": 1.92, "life_expect": 68.69, "pop": 1135, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "China", "fertility": 1.7810000000000001, "life_expect": 70.426, "pop": 1205, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "China", "fertility": 1.7000000000000002, "life_expect": 72.028, "pop": 1263, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "China", "fertility": 1.725, "life_expect": 72.961, "pop": 1303, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 3, "country": "Colombia", "fertility": 6.76, "life_expect": 55.118, "pop": 14, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Colombia", "fertility": 6.76, "life_expect": 57.863, "pop": 16, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Colombia", "fertility": 6.18, "life_expect": 59.963, "pop": 19, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Colombia", "fertility": 5.0005, "life_expect": 61.623, "pop": 21, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Colombia", "fertility": 4.3385, "life_expect": 63.837, "pop": 24, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Colombia", "fertility": 3.685, "life_expect": 66.653, "pop": 27, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Colombia", "fertility": 3.172, "life_expect": 67.768, "pop": 30, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Colombia", "fertility": 2.93005, "life_expect": 68.421, "pop": 33, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Colombia", "fertility": 2.7, "life_expect": 70.313, "pop": 36, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Colombia", "fertility": 2.4705, "life_expect": 71.682, "pop": 40, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Colombia", "fertility": 2.2205, "life_expect": 72.889, "pop": 43, "region": "Americas", "year": 2005 }, { "cluster": 5, "country": "Egypt", "fertility": 6.97, "life_expect": 44.444, "pop": 24, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Egypt", "fertility": 7.073, "life_expect": 46.992, "pop": 27, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Egypt", "fertility": 6.5600000000000005, "life_expect": 49.293, "pop": 30, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Egypt", "fertility": 5.855, "life_expect": 51.137, "pop": 34, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Egypt", "fertility": 5.609, "life_expect": 53.319, "pop": 37, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Egypt", "fertility": 5.332, "life_expect": 56.006, "pop": 43, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Egypt", "fertility": 4.833, "life_expect": 59.797, "pop": 50, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Egypt", "fertility": 3.908, "life_expect": 63.674, "pop": 57, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Egypt", "fertility": 3.5, "life_expect": 67.217, "pop": 63, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Egypt", "fertility": 3.174, "life_expect": 69.806, "pop": 70, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Egypt", "fertility": 2.891, "life_expect": 71.338, "pop": 78, "region": "Middle East", "year": 2005 }, { "cluster": 1, "country": "France", "fertility": 2.7119999999999997, "life_expect": 68.93, "pop": 43, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "France", "fertility": 2.85, "life_expect": 70.51, "pop": 46, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "France", "fertility": 2.607, "life_expect": 71.55, "pop": 49, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "France", "fertility": 2.31, "life_expect": 72.38, "pop": 51, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "France", "fertility": 1.862, "life_expect": 73.83, "pop": 53, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "France", "fertility": 1.866, "life_expect": 74.89, "pop": 54, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "France", "fertility": 1.8050000000000002, "life_expect": 76.34, "pop": 55, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "France", "fertility": 1.713, "life_expect": 77.46, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "France", "fertility": 1.7624, "life_expect": 78.64, "pop": 58, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "France", "fertility": 1.8833000000000002, "life_expect": 79.59, "pop": 59, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "France", "fertility": 1.8916, "life_expect": 80.657, "pop": 61, "region": "Europe", "year": 2005 }, { "cluster": 1, "country": "Germany", "fertility": 2.3, "life_expect": 69.1, "pop": 70, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Germany", "fertility": 2.49, "life_expect": 70.3, "pop": 72, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Germany", "fertility": 2.32, "life_expect": 70.8, "pop": 76, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Germany", "fertility": 1.6400000000000001, "life_expect": 71, "pop": 78, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Germany", "fertility": 1.52, "life_expect": 72.5, "pop": 79, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Germany", "fertility": 1.46, "life_expect": 73.8, "pop": 78, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Germany", "fertility": 1.43, "life_expect": 74.847, "pop": 78, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Germany", "fertility": 1.31, "life_expect": 76.07, "pop": 79, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Germany", "fertility": 1.34, "life_expect": 77.34, "pop": 82, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Germany", "fertility": 1.346, "life_expect": 78.67, "pop": 82, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Germany", "fertility": 1.3599999999999999, "life_expect": 79.406, "pop": 82, "region": "Europe", "year": 2005 }, { "cluster": 0, "country": "India", "fertility": 5.8961, "life_expect": 40.249, "pop": 393, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "India", "fertility": 5.8216, "life_expect": 43.605, "pop": 434, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "India", "fertility": 5.6058, "life_expect": 47.193, "pop": 485, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "India", "fertility": 5.264, "life_expect": 50.651, "pop": 541, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "India", "fertility": 4.8888, "life_expect": 54.208, "pop": 607, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "India", "fertility": 4.4975, "life_expect": 56.596, "pop": 679, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "India", "fertility": 4.15, "life_expect": 58.553, "pop": 755, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "India", "fertility": 3.8648, "life_expect": 60.223, "pop": 839, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "India", "fertility": 3.4551, "life_expect": 61.765, "pop": 927, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "India", "fertility": 3.1132, "life_expect": 62.879, "pop": 1008, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "India", "fertility": 2.8073, "life_expect": 64.698, "pop": 1080, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.672, "life_expect": 39.918, "pop": 87, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.62, "life_expect": 42.518, "pop": 95, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.568, "life_expect": 45.964, "pop": 105, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.3, "life_expect": 49.203, "pop": 116, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Indonesia", "fertility": 4.73, "life_expect": 52.702, "pop": 130, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Indonesia", "fertility": 4.109, "life_expect": 56.159, "pop": 147, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Indonesia", "fertility": 3.4, "life_expect": 60.137, "pop": 163, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.9, "life_expect": 62.681, "pop": 178, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.55, "life_expect": 66.041, "pop": 195, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.3761, "life_expect": 68.588, "pop": 206, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.182, "life_expect": 70.65, "pop": 218, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 5, "country": "Iran", "fertility": 7, "life_expect": 47.181, "pop": 19, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Iran", "fertility": 7, "life_expect": 49.325, "pop": 22, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Iran", "fertility": 6.8, "life_expect": 52.469, "pop": 25, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Iran", "fertility": 6.4, "life_expect": 55.234, "pop": 29, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Iran", "fertility": 6.5, "life_expect": 57.702, "pop": 33, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Iran", "fertility": 6.63, "life_expect": 59.62, "pop": 40, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Iran", "fertility": 5.62, "life_expect": 63.04, "pop": 48, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Iran", "fertility": 4.328, "life_expect": 65.742, "pop": 57, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Iran", "fertility": 2.534, "life_expect": 68.042, "pop": 62, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Iran", "fertility": 2.124, "life_expect": 69.451, "pop": 66, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Iran", "fertility": 2.04, "life_expect": 70.964, "pop": 68, "region": "Middle East", "year": 2005 }, { "cluster": 5, "country": "Iraq", "fertility": 7.3, "life_expect": 48.437, "pop": 6, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Iraq", "fertility": 7.25, "life_expect": 51.457, "pop": 7, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Iraq", "fertility": 7.2, "life_expect": 54.459, "pop": 8, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Iraq", "fertility": 7.15, "life_expect": 56.95, "pop": 9, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Iraq", "fertility": 6.8, "life_expect": 60.413, "pop": 11, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Iraq", "fertility": 6.35, "life_expect": 62.038, "pop": 13, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Iraq", "fertility": 6.15, "life_expect": 65.044, "pop": 16, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Iraq", "fertility": 5.7, "life_expect": 59.461, "pop": 18, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Iraq", "fertility": 5.37, "life_expect": 58.811, "pop": 20, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Iraq", "fertility": 4.858, "life_expect": 57.046, "pop": 23, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Iraq", "fertility": 4.264, "life_expect": 59.545, "pop": 26, "region": "Middle East", "year": 2005 }, { "cluster": 5, "country": "Israel", "fertility": 3.893, "life_expect": 67.84, "pop": 2, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Israel", "fertility": 3.852, "life_expect": 69.39, "pop": 2, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Israel", "fertility": 3.79, "life_expect": 70.75, "pop": 3, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Israel", "fertility": 3.77, "life_expect": 71.63, "pop": 3, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Israel", "fertility": 3.409, "life_expect": 73.06, "pop": 3, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Israel", "fertility": 3.125, "life_expect": 74.45, "pop": 4, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Israel", "fertility": 3.051, "life_expect": 75.6, "pop": 4, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Israel", "fertility": 2.933, "life_expect": 76.93, "pop": 5, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Israel", "fertility": 2.942, "life_expect": 78.269, "pop": 5, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Israel", "fertility": 2.906, "life_expect": 79.696, "pop": 6, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Israel", "fertility": 2.75, "life_expect": 80.745, "pop": 6, "region": "Middle East", "year": 2005 }, { "cluster": 1, "country": "Italy", "fertility": 2.35, "life_expect": 67.81, "pop": 49, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Italy", "fertility": 2.498, "life_expect": 69.24, "pop": 50, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Italy", "fertility": 2.493, "life_expect": 71.06, "pop": 52, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Italy", "fertility": 2.325, "life_expect": 72.19, "pop": 54, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Italy", "fertility": 1.889, "life_expect": 73.48, "pop": 56, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Italy", "fertility": 1.53, "life_expect": 74.98, "pop": 56, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Italy", "fertility": 1.349, "life_expect": 76.42, "pop": 57, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Italy", "fertility": 1.275, "life_expect": 77.44, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Italy", "fertility": 1.213, "life_expect": 78.82, "pop": 57, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Italy", "fertility": 1.286, "life_expect": 80.24, "pop": 58, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Italy", "fertility": 1.379, "life_expect": 80.546, "pop": 58, "region": "Europe", "year": 2005 }, { "cluster": 4, "country": "Japan", "fertility": 2.08, "life_expect": 65.5, "pop": 90, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Japan", "fertility": 2.02, "life_expect": 68.73, "pop": 94, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Japan", "fertility": 2, "life_expect": 71.43, "pop": 99, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Japan", "fertility": 2.07, "life_expect": 73.42, "pop": 104, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Japan", "fertility": 1.81, "life_expect": 75.38, "pop": 112, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Japan", "fertility": 1.76, "life_expect": 77.11, "pop": 117, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Japan", "fertility": 1.6600000000000001, "life_expect": 78.67, "pop": 121, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Japan", "fertility": 1.49, "life_expect": 79.36, "pop": 124, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Japan", "fertility": 1.3900000000000001, "life_expect": 80.69, "pop": 125, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Japan", "fertility": 1.291, "life_expect": 82, "pop": 127, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Japan", "fertility": 1.27, "life_expect": 82.603, "pop": 127, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 2, "country": "Kenya", "fertility": 7.816, "life_expect": 44.686, "pop": 7, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Kenya", "fertility": 8.12, "life_expect": 47.949, "pop": 8, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Kenya", "fertility": 8.12, "life_expect": 50.654, "pop": 10, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Kenya", "fertility": 8, "life_expect": 53.559, "pop": 11, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Kenya", "fertility": 7.6, "life_expect": 56.155, "pop": 13, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Kenya", "fertility": 7.2, "life_expect": 58.766, "pop": 16, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Kenya", "fertility": 6.5, "life_expect": 59.339, "pop": 20, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Kenya", "fertility": 5.4, "life_expect": 59.285, "pop": 23, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Kenya", "fertility": 5, "life_expect": 54.407, "pop": 27, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Kenya", "fertility": 5, "life_expect": 50.992, "pop": 30, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Kenya", "fertility": 4.959, "life_expect": 54.11, "pop": 34, "region": "Africa", "year": 2005 }, { "cluster": 3, "country": "Mexico", "fertility": 6.8, "life_expect": 55.19, "pop": 33, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Mexico", "fertility": 6.7495, "life_expect": 58.299, "pop": 39, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Mexico", "fertility": 6.7495, "life_expect": 60.11, "pop": 45, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Mexico", "fertility": 6.5, "life_expect": 62.361, "pop": 53, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Mexico", "fertility": 5.2505, "life_expect": 65.032, "pop": 61, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Mexico", "fertility": 4.25, "life_expect": 67.405, "pop": 68, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Mexico", "fertility": 3.6295, "life_expect": 69.498, "pop": 77, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Mexico", "fertility": 3.1905, "life_expect": 71.455, "pop": 85, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Mexico", "fertility": 2.6705, "life_expect": 73.67, "pop": 93, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Mexico", "fertility": 2.4005, "life_expect": 74.902, "pop": 100, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Mexico", "fertility": 2.211, "life_expect": 76.195, "pop": 106, "region": "Americas", "year": 2005 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 37.802, "pop": 35, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 39.36, "pop": 40, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 41.04, "pop": 45, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 42.821, "pop": 51, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 44.514, "pop": 59, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 45.826, "pop": 69, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.834, "life_expect": 46.886, "pop": 78, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.635, "life_expect": 47.472, "pop": 89, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.246, "life_expect": 47.464, "pop": 101, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Nigeria", "fertility": 5.845, "life_expect": 46.608, "pop": 114, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Nigeria", "fertility": 5.322, "life_expect": 46.859, "pop": 129, "region": "Africa", "year": 2005 }, { "cluster": 4, "country": "North Korea", "fertility": 6.332, "life_expect": 52.681, "pop": 22, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "North Korea", "fertility": 5.63, "life_expect": 55.292, "pop": 25, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "North Korea", "fertility": 4.708, "life_expect": 57.716, "pop": 29, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "North Korea", "fertility": 4.281, "life_expect": 62.612, "pop": 32, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "North Korea", "fertility": 2.919, "life_expect": 64.766, "pop": 35, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "North Korea", "fertility": 2.234, "life_expect": 67.123, "pop": 38, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "North Korea", "fertility": 1.601, "life_expect": 69.81, "pop": 41, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "North Korea", "fertility": 1.6960000000000002, "life_expect": 72.244, "pop": 43, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "North Korea", "fertility": 1.514, "life_expect": 74.647, "pop": 45, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "North Korea", "fertility": 1.242, "life_expect": 77.045, "pop": 47, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "North Korea", "fertility": 1.21, "life_expect": 78.623, "pop": 49, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 45.557, "pop": 44, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 47.67, "pop": 50, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 49.8, "pop": 57, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 51.929, "pop": 66, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 54.043, "pop": 75, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 56.158, "pop": 85, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.66, "life_expect": 58.245, "pop": 99, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Pakistan", "fertility": 5.8, "life_expect": 60.838, "pop": 115, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Pakistan", "fertility": 4.9596, "life_expect": 61.818, "pop": 129, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Pakistan", "fertility": 3.9936, "life_expect": 63.61, "pop": 146, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Pakistan", "fertility": 3.5211, "life_expect": 65.483, "pop": 162, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 4, "country": "Philippines", "fertility": 7.13, "life_expect": 51.334, "pop": 25, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Philippines", "fertility": 6.85, "life_expect": 54.757, "pop": 29, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Philippines", "fertility": 6.5, "life_expect": 56.393, "pop": 33, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Philippines", "fertility": 6, "life_expect": 58.065, "pop": 39, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Philippines", "fertility": 5.5, "life_expect": 60.06, "pop": 44, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Philippines", "fertility": 4.95, "life_expect": 62.082, "pop": 51, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Philippines", "fertility": 4.55, "life_expect": 64.151, "pop": 57, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Philippines", "fertility": 4.143, "life_expect": 66.458, "pop": 64, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Philippines", "fertility": 3.7248, "life_expect": 68.564, "pop": 72, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Philippines", "fertility": 3.5436, "life_expect": 70.303, "pop": 80, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Philippines", "fertility": 3.2327, "life_expect": 71.688, "pop": 88, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 2, "country": "Rwanda", "fertility": 8, "life_expect": 41.5, "pop": 3, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.1, "life_expect": 43, "pop": 3, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.2, "life_expect": 44.1, "pop": 3, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.29, "life_expect": 44.6, "pop": 4, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.492, "life_expect": 45, "pop": 4, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.5, "life_expect": 46.218, "pop": 5, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.25, "life_expect": 44.02, "pop": 6, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.9, "life_expect": 23.599, "pop": 7, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.0993, "life_expect": 36.087, "pop": 6, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.01, "life_expect": 43.413, "pop": 8, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Rwanda", "fertility": 5.9169, "life_expect": 46.242, "pop": 8, "region": "Africa", "year": 2005 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.175, "life_expect": 42.868, "pop": 4, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.257, "life_expect": 45.914, "pop": 5, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.257, "life_expect": 49.901, "pop": 5, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.298, "life_expect": 53.886, "pop": 6, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.2780000000000005, "life_expect": 58.69, "pop": 7, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.015, "life_expect": 63.012, "pop": 10, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 6.217, "life_expect": 66.295, "pop": 13, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 5.446, "life_expect": 68.768, "pop": 16, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 4.621, "life_expect": 70.533, "pop": 20, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 3.81, "life_expect": 71.626, "pop": 23, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 3.352, "life_expect": 72.777, "pop": 26, "region": "Middle East", "year": 2005 }, { "cluster": 2, "country": "South Africa", "fertility": 6.5, "life_expect": 47.985, "pop": 15, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "South Africa", "fertility": 6.3, "life_expect": 49.951, "pop": 17, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "South Africa", "fertility": 5.7, "life_expect": 51.927, "pop": 20, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "South Africa", "fertility": 5.47, "life_expect": 53.696, "pop": 23, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "South Africa", "fertility": 5, "life_expect": 55.527, "pop": 26, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "South Africa", "fertility": 4.556, "life_expect": 58.161, "pop": 29, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "South Africa", "fertility": 3.85, "life_expect": 60.834, "pop": 34, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "South Africa", "fertility": 3.343, "life_expect": 61.888, "pop": 38, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "South Africa", "fertility": 2.954, "life_expect": 60.236, "pop": 42, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "South Africa", "fertility": 2.802, "life_expect": 53.365, "pop": 44, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "South Africa", "fertility": 2.637, "life_expect": 49.339, "pop": 44, "region": "Africa", "year": 2005 }, { "cluster": 1, "country": "Turkey", "fertility": 6.6, "life_expect": 48.079, "pop": 24, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Turkey", "fertility": 6.19, "life_expect": 52.098, "pop": 28, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Turkey", "fertility": 5.7, "life_expect": 54.336, "pop": 32, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Turkey", "fertility": 5.3, "life_expect": 57.005, "pop": 36, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Turkey", "fertility": 4.715, "life_expect": 59.507, "pop": 41, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Turkey", "fertility": 4.15, "life_expect": 61.036, "pop": 45, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Turkey", "fertility": 3.276, "life_expect": 63.108, "pop": 51, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Turkey", "fertility": 2.904, "life_expect": 66.146, "pop": 56, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Turkey", "fertility": 2.574, "life_expect": 68.835, "pop": 61, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Turkey", "fertility": 2.23, "life_expect": 70.845, "pop": 66, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Turkey", "fertility": 2.143, "life_expect": 71.777, "pop": 70, "region": "Europe", "year": 2005 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.49, "life_expect": 70.42, "pop": 51, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.81, "life_expect": 70.76, "pop": 52, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.52, "life_expect": 71.36, "pop": 54, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.04, "life_expect": 72.01, "pop": 56, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.72, "life_expect": 72.76, "pop": 56, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.8, "life_expect": 74.04, "pop": 56, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.81, "life_expect": 75.007, "pop": 57, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.78, "life_expect": 76.42, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.7000000000000002, "life_expect": 77.218, "pop": 58, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.695, "life_expect": 78.471, "pop": 60, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.815, "life_expect": 79.425, "pop": 60, "region": "Europe", "year": 2005 }, { "cluster": 3, "country": "United States", "fertility": 3.706, "life_expect": 69.49, "pop": 166, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "United States", "fertility": 3.314, "life_expect": 70.21, "pop": 181, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "United States", "fertility": 2.545, "life_expect": 70.76, "pop": 194, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "United States", "fertility": 2.016, "life_expect": 71.34, "pop": 205, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "United States", "fertility": 1.788, "life_expect": 73.38, "pop": 216, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "United States", "fertility": 1.8250000000000002, "life_expect": 74.65, "pop": 228, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "United States", "fertility": 1.924, "life_expect": 75.02, "pop": 238, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "United States", "fertility": 2.025, "life_expect": 76.09, "pop": 250, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "United States", "fertility": 1.994, "life_expect": 76.81, "pop": 267, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "United States", "fertility": 2.038, "life_expect": 77.31, "pop": 282, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "United States", "fertility": 2.054, "life_expect": 78.242, "pop": 296, "region": "Americas", "year": 2005 } ] }, "encoding": { "color": { "field": "region", "type": "nominal" }, "size": { "field": "pop", "scale": { "range": [ 10, 300 ] }, "type": "quantitative" }, "x": { "field": "life_expect", "type": "quantitative" }, "y": { "field": "fertility", "type": "quantitative" } }, "mark": "circle" }, "image/png": "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", "text/plain": [ "<VegaLite 3 object>\n", "\n", "If you see this message, it means the renderer has not been properly enabled\n", "for the frontend that you are using. For more information, see\n", "https://altair-viz.github.io/user_guide/troubleshooting.html\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# this shows how to tweak properties of encodings\n", "\n", "chart = alt.Chart(\n", " df\n", ").mark_circle(\n", ").encode(\n", " x='life_expect',\n", " y='fertility',\n", " color='region:N',\n", " size=alt.Size('pop', scale=alt.Scale(range=[10, 300])) # change point scale to better show very small countries\n", ")\n", "\n", "chart.display()" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "application/vnd.vegalite.v3+json": { "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json", "config": { "mark": { "tooltip": null }, "view": { "height": 300, "width": 400 } }, "data": { "name": "data-eb55b3c04935b1d5bce4fa9a8c24136b" }, "datasets": { "data-eb55b3c04935b1d5bce4fa9a8c24136b": [ { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 30.332, "pop": 9, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 31.997, "pop": 10, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 34.02, "pop": 11, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 36.088, "pop": 12, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 38.438, "pop": 14, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.8, "life_expect": 39.854, "pop": 15, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.9, "life_expect": 40.822, "pop": 14, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Afghanistan", "fertility": 8, "life_expect": 41.674, "pop": 15, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Afghanistan", "fertility": 8, "life_expect": 41.763, "pop": 21, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.4792, "life_expect": 42.129, "pop": 24, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.0685, "life_expect": 43.828, "pop": 30, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 3, "country": "Argentina", "fertility": 3.1265, "life_expect": 64.399, "pop": 19, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Argentina", "fertility": 3.0895, "life_expect": 65.142, "pop": 21, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Argentina", "fertility": 3.049, "life_expect": 65.634, "pop": 22, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Argentina", "fertility": 3.1455, "life_expect": 67.065, "pop": 24, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Argentina", "fertility": 3.44, "life_expect": 68.481, "pop": 26, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Argentina", "fertility": 3.15, "life_expect": 69.942, "pop": 28, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Argentina", "fertility": 3.053, "life_expect": 70.774, "pop": 31, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Argentina", "fertility": 2.9, "life_expect": 71.868, "pop": 33, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Argentina", "fertility": 2.63, "life_expect": 73.275, "pop": 35, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Argentina", "fertility": 2.35, "life_expect": 74.34, "pop": 37, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Argentina", "fertility": 2.254, "life_expect": 75.32, "pop": 40, "region": "Americas", "year": 2005 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.76, "life_expect": 39.348, "pop": 50, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.85, "life_expect": 41.216, "pop": 55, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.6, "life_expect": 43.453, "pop": 60, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.15, "life_expect": 45.252, "pop": 67, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Bangladesh", "fertility": 5.6, "life_expect": 46.923, "pop": 76, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Bangladesh", "fertility": 5.25, "life_expect": 50.009, "pop": 88, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Bangladesh", "fertility": 4.629, "life_expect": 52.819, "pop": 100, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Bangladesh", "fertility": 4.117, "life_expect": 56.018, "pop": 110, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Bangladesh", "fertility": 3.5042999999999997, "life_expect": 59.412, "pop": 119, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Bangladesh", "fertility": 3.224, "life_expect": 62.013, "pop": 130, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Bangladesh", "fertility": 2.826, "life_expect": 64.062, "pop": 144, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 3, "country": "Brazil", "fertility": 6.1501, "life_expect": 53.285, "pop": 62, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Brazil", "fertility": 6.1501, "life_expect": 55.665, "pop": 72, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Brazil", "fertility": 5.38, "life_expect": 57.632, "pop": 83, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Brazil", "fertility": 4.7175, "life_expect": 59.504, "pop": 96, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Brazil", "fertility": 4.305, "life_expect": 61.489, "pop": 109, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Brazil", "fertility": 3.8, "life_expect": 63.336, "pop": 123, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Brazil", "fertility": 3.1, "life_expect": 65.205, "pop": 137, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Brazil", "fertility": 2.6, "life_expect": 67.057, "pop": 151, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Brazil", "fertility": 2.45, "life_expect": 69.388, "pop": 164, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Brazil", "fertility": 2.345, "life_expect": 71.006, "pop": 176, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Brazil", "fertility": 2.245, "life_expect": 72.39, "pop": 186, "region": "Americas", "year": 2005 }, { "cluster": 4, "country": "China", "fertility": 5.59, "life_expect": 50.54896, "pop": 609, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "China", "fertility": 5.72, "life_expect": 44.50136, "pop": 667, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "China", "fertility": 6.06, "life_expect": 58.38112, "pop": 715, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "China", "fertility": 4.86, "life_expect": 63.11888, "pop": 818, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "China", "fertility": 3.32, "life_expect": 63.96736, "pop": 916, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "China", "fertility": 2.55, "life_expect": 65.525, "pop": 981, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "China", "fertility": 2.46, "life_expect": 67.274, "pop": 1051, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "China", "fertility": 1.92, "life_expect": 68.69, "pop": 1135, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "China", "fertility": 1.7810000000000001, "life_expect": 70.426, "pop": 1205, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "China", "fertility": 1.7000000000000002, "life_expect": 72.028, "pop": 1263, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "China", "fertility": 1.725, "life_expect": 72.961, "pop": 1303, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 3, "country": "Colombia", "fertility": 6.76, "life_expect": 55.118, "pop": 14, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Colombia", "fertility": 6.76, "life_expect": 57.863, "pop": 16, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Colombia", "fertility": 6.18, "life_expect": 59.963, "pop": 19, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Colombia", "fertility": 5.0005, "life_expect": 61.623, "pop": 21, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Colombia", "fertility": 4.3385, "life_expect": 63.837, "pop": 24, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Colombia", "fertility": 3.685, "life_expect": 66.653, "pop": 27, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Colombia", "fertility": 3.172, "life_expect": 67.768, "pop": 30, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Colombia", "fertility": 2.93005, "life_expect": 68.421, "pop": 33, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Colombia", "fertility": 2.7, "life_expect": 70.313, "pop": 36, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Colombia", "fertility": 2.4705, "life_expect": 71.682, "pop": 40, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Colombia", "fertility": 2.2205, "life_expect": 72.889, "pop": 43, "region": "Americas", "year": 2005 }, { "cluster": 5, "country": "Egypt", "fertility": 6.97, "life_expect": 44.444, "pop": 24, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Egypt", "fertility": 7.073, "life_expect": 46.992, "pop": 27, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Egypt", "fertility": 6.5600000000000005, "life_expect": 49.293, "pop": 30, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Egypt", "fertility": 5.855, "life_expect": 51.137, "pop": 34, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Egypt", "fertility": 5.609, "life_expect": 53.319, "pop": 37, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Egypt", "fertility": 5.332, "life_expect": 56.006, "pop": 43, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Egypt", "fertility": 4.833, "life_expect": 59.797, "pop": 50, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Egypt", "fertility": 3.908, "life_expect": 63.674, "pop": 57, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Egypt", "fertility": 3.5, "life_expect": 67.217, "pop": 63, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Egypt", "fertility": 3.174, "life_expect": 69.806, "pop": 70, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Egypt", "fertility": 2.891, "life_expect": 71.338, "pop": 78, "region": "Middle East", "year": 2005 }, { "cluster": 1, "country": "France", "fertility": 2.7119999999999997, "life_expect": 68.93, "pop": 43, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "France", "fertility": 2.85, "life_expect": 70.51, "pop": 46, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "France", "fertility": 2.607, "life_expect": 71.55, "pop": 49, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "France", "fertility": 2.31, "life_expect": 72.38, "pop": 51, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "France", "fertility": 1.862, "life_expect": 73.83, "pop": 53, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "France", "fertility": 1.866, "life_expect": 74.89, "pop": 54, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "France", "fertility": 1.8050000000000002, "life_expect": 76.34, "pop": 55, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "France", "fertility": 1.713, "life_expect": 77.46, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "France", "fertility": 1.7624, "life_expect": 78.64, "pop": 58, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "France", "fertility": 1.8833000000000002, "life_expect": 79.59, "pop": 59, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "France", "fertility": 1.8916, "life_expect": 80.657, "pop": 61, "region": "Europe", "year": 2005 }, { "cluster": 1, "country": "Germany", "fertility": 2.3, "life_expect": 69.1, "pop": 70, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Germany", "fertility": 2.49, "life_expect": 70.3, "pop": 72, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Germany", "fertility": 2.32, "life_expect": 70.8, "pop": 76, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Germany", "fertility": 1.6400000000000001, "life_expect": 71, "pop": 78, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Germany", "fertility": 1.52, "life_expect": 72.5, "pop": 79, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Germany", "fertility": 1.46, "life_expect": 73.8, "pop": 78, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Germany", "fertility": 1.43, "life_expect": 74.847, "pop": 78, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Germany", "fertility": 1.31, "life_expect": 76.07, "pop": 79, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Germany", "fertility": 1.34, "life_expect": 77.34, "pop": 82, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Germany", "fertility": 1.346, "life_expect": 78.67, "pop": 82, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Germany", "fertility": 1.3599999999999999, "life_expect": 79.406, "pop": 82, "region": "Europe", "year": 2005 }, { "cluster": 0, "country": "India", "fertility": 5.8961, "life_expect": 40.249, "pop": 393, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "India", "fertility": 5.8216, "life_expect": 43.605, "pop": 434, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "India", "fertility": 5.6058, "life_expect": 47.193, "pop": 485, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "India", "fertility": 5.264, "life_expect": 50.651, "pop": 541, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "India", "fertility": 4.8888, "life_expect": 54.208, "pop": 607, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "India", "fertility": 4.4975, "life_expect": 56.596, "pop": 679, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "India", "fertility": 4.15, "life_expect": 58.553, "pop": 755, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "India", "fertility": 3.8648, "life_expect": 60.223, "pop": 839, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "India", "fertility": 3.4551, "life_expect": 61.765, "pop": 927, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "India", "fertility": 3.1132, "life_expect": 62.879, "pop": 1008, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "India", "fertility": 2.8073, "life_expect": 64.698, "pop": 1080, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.672, "life_expect": 39.918, "pop": 87, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.62, "life_expect": 42.518, "pop": 95, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.568, "life_expect": 45.964, "pop": 105, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.3, "life_expect": 49.203, "pop": 116, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Indonesia", "fertility": 4.73, "life_expect": 52.702, "pop": 130, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Indonesia", "fertility": 4.109, "life_expect": 56.159, "pop": 147, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Indonesia", "fertility": 3.4, "life_expect": 60.137, "pop": 163, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.9, "life_expect": 62.681, "pop": 178, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.55, "life_expect": 66.041, "pop": 195, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.3761, "life_expect": 68.588, "pop": 206, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.182, "life_expect": 70.65, "pop": 218, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 5, "country": "Iran", "fertility": 7, "life_expect": 47.181, "pop": 19, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Iran", "fertility": 7, "life_expect": 49.325, "pop": 22, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Iran", "fertility": 6.8, "life_expect": 52.469, "pop": 25, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Iran", "fertility": 6.4, "life_expect": 55.234, "pop": 29, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Iran", "fertility": 6.5, "life_expect": 57.702, "pop": 33, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Iran", "fertility": 6.63, "life_expect": 59.62, "pop": 40, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Iran", "fertility": 5.62, "life_expect": 63.04, "pop": 48, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Iran", "fertility": 4.328, "life_expect": 65.742, "pop": 57, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Iran", "fertility": 2.534, "life_expect": 68.042, "pop": 62, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Iran", "fertility": 2.124, "life_expect": 69.451, "pop": 66, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Iran", "fertility": 2.04, "life_expect": 70.964, "pop": 68, "region": "Middle East", "year": 2005 }, { "cluster": 5, "country": "Iraq", "fertility": 7.3, "life_expect": 48.437, "pop": 6, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Iraq", "fertility": 7.25, "life_expect": 51.457, "pop": 7, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Iraq", "fertility": 7.2, "life_expect": 54.459, "pop": 8, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Iraq", "fertility": 7.15, "life_expect": 56.95, "pop": 9, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Iraq", "fertility": 6.8, "life_expect": 60.413, "pop": 11, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Iraq", "fertility": 6.35, "life_expect": 62.038, "pop": 13, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Iraq", "fertility": 6.15, "life_expect": 65.044, "pop": 16, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Iraq", "fertility": 5.7, "life_expect": 59.461, "pop": 18, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Iraq", "fertility": 5.37, "life_expect": 58.811, "pop": 20, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Iraq", "fertility": 4.858, "life_expect": 57.046, "pop": 23, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Iraq", "fertility": 4.264, "life_expect": 59.545, "pop": 26, "region": "Middle East", "year": 2005 }, { "cluster": 5, "country": "Israel", "fertility": 3.893, "life_expect": 67.84, "pop": 2, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Israel", "fertility": 3.852, "life_expect": 69.39, "pop": 2, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Israel", "fertility": 3.79, "life_expect": 70.75, "pop": 3, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Israel", "fertility": 3.77, "life_expect": 71.63, "pop": 3, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Israel", "fertility": 3.409, "life_expect": 73.06, "pop": 3, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Israel", "fertility": 3.125, "life_expect": 74.45, "pop": 4, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Israel", "fertility": 3.051, "life_expect": 75.6, "pop": 4, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Israel", "fertility": 2.933, "life_expect": 76.93, "pop": 5, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Israel", "fertility": 2.942, "life_expect": 78.269, "pop": 5, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Israel", "fertility": 2.906, "life_expect": 79.696, "pop": 6, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Israel", "fertility": 2.75, "life_expect": 80.745, "pop": 6, "region": "Middle East", "year": 2005 }, { "cluster": 1, "country": "Italy", "fertility": 2.35, "life_expect": 67.81, "pop": 49, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Italy", "fertility": 2.498, "life_expect": 69.24, "pop": 50, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Italy", "fertility": 2.493, "life_expect": 71.06, "pop": 52, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Italy", "fertility": 2.325, "life_expect": 72.19, "pop": 54, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Italy", "fertility": 1.889, "life_expect": 73.48, "pop": 56, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Italy", "fertility": 1.53, "life_expect": 74.98, "pop": 56, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Italy", "fertility": 1.349, "life_expect": 76.42, "pop": 57, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Italy", "fertility": 1.275, "life_expect": 77.44, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Italy", "fertility": 1.213, "life_expect": 78.82, "pop": 57, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Italy", "fertility": 1.286, "life_expect": 80.24, "pop": 58, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Italy", "fertility": 1.379, "life_expect": 80.546, "pop": 58, "region": "Europe", "year": 2005 }, { "cluster": 4, "country": "Japan", "fertility": 2.08, "life_expect": 65.5, "pop": 90, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Japan", "fertility": 2.02, "life_expect": 68.73, "pop": 94, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Japan", "fertility": 2, "life_expect": 71.43, "pop": 99, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Japan", "fertility": 2.07, "life_expect": 73.42, "pop": 104, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Japan", "fertility": 1.81, "life_expect": 75.38, "pop": 112, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Japan", "fertility": 1.76, "life_expect": 77.11, "pop": 117, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Japan", "fertility": 1.6600000000000001, "life_expect": 78.67, "pop": 121, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Japan", "fertility": 1.49, "life_expect": 79.36, "pop": 124, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Japan", "fertility": 1.3900000000000001, "life_expect": 80.69, "pop": 125, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Japan", "fertility": 1.291, "life_expect": 82, "pop": 127, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Japan", "fertility": 1.27, "life_expect": 82.603, "pop": 127, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 2, "country": "Kenya", "fertility": 7.816, "life_expect": 44.686, "pop": 7, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Kenya", "fertility": 8.12, "life_expect": 47.949, "pop": 8, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Kenya", "fertility": 8.12, "life_expect": 50.654, "pop": 10, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Kenya", "fertility": 8, "life_expect": 53.559, "pop": 11, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Kenya", "fertility": 7.6, "life_expect": 56.155, "pop": 13, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Kenya", "fertility": 7.2, "life_expect": 58.766, "pop": 16, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Kenya", "fertility": 6.5, "life_expect": 59.339, "pop": 20, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Kenya", "fertility": 5.4, "life_expect": 59.285, "pop": 23, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Kenya", "fertility": 5, "life_expect": 54.407, "pop": 27, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Kenya", "fertility": 5, "life_expect": 50.992, "pop": 30, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Kenya", "fertility": 4.959, "life_expect": 54.11, "pop": 34, "region": "Africa", "year": 2005 }, { "cluster": 3, "country": "Mexico", "fertility": 6.8, "life_expect": 55.19, "pop": 33, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Mexico", "fertility": 6.7495, "life_expect": 58.299, "pop": 39, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Mexico", "fertility": 6.7495, "life_expect": 60.11, "pop": 45, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Mexico", "fertility": 6.5, "life_expect": 62.361, "pop": 53, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Mexico", "fertility": 5.2505, "life_expect": 65.032, "pop": 61, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Mexico", "fertility": 4.25, "life_expect": 67.405, "pop": 68, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Mexico", "fertility": 3.6295, "life_expect": 69.498, "pop": 77, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Mexico", "fertility": 3.1905, "life_expect": 71.455, "pop": 85, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Mexico", "fertility": 2.6705, "life_expect": 73.67, "pop": 93, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Mexico", "fertility": 2.4005, "life_expect": 74.902, "pop": 100, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Mexico", "fertility": 2.211, "life_expect": 76.195, "pop": 106, "region": "Americas", "year": 2005 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 37.802, "pop": 35, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 39.36, "pop": 40, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 41.04, "pop": 45, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 42.821, "pop": 51, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 44.514, "pop": 59, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 45.826, "pop": 69, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.834, "life_expect": 46.886, "pop": 78, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.635, "life_expect": 47.472, "pop": 89, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.246, "life_expect": 47.464, "pop": 101, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Nigeria", "fertility": 5.845, "life_expect": 46.608, "pop": 114, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Nigeria", "fertility": 5.322, "life_expect": 46.859, "pop": 129, "region": "Africa", "year": 2005 }, { "cluster": 4, "country": "North Korea", "fertility": 6.332, "life_expect": 52.681, "pop": 22, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "North Korea", "fertility": 5.63, "life_expect": 55.292, "pop": 25, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "North Korea", "fertility": 4.708, "life_expect": 57.716, "pop": 29, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "North Korea", "fertility": 4.281, "life_expect": 62.612, "pop": 32, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "North Korea", "fertility": 2.919, "life_expect": 64.766, "pop": 35, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "North Korea", "fertility": 2.234, "life_expect": 67.123, "pop": 38, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "North Korea", "fertility": 1.601, "life_expect": 69.81, "pop": 41, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "North Korea", "fertility": 1.6960000000000002, "life_expect": 72.244, "pop": 43, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "North Korea", "fertility": 1.514, "life_expect": 74.647, "pop": 45, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "North Korea", "fertility": 1.242, "life_expect": 77.045, "pop": 47, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "North Korea", "fertility": 1.21, "life_expect": 78.623, "pop": 49, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 45.557, "pop": 44, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 47.67, "pop": 50, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 49.8, "pop": 57, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 51.929, "pop": 66, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 54.043, "pop": 75, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 56.158, "pop": 85, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.66, "life_expect": 58.245, "pop": 99, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Pakistan", "fertility": 5.8, "life_expect": 60.838, "pop": 115, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Pakistan", "fertility": 4.9596, "life_expect": 61.818, "pop": 129, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Pakistan", "fertility": 3.9936, "life_expect": 63.61, "pop": 146, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Pakistan", "fertility": 3.5211, "life_expect": 65.483, "pop": 162, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 4, "country": "Philippines", "fertility": 7.13, "life_expect": 51.334, "pop": 25, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Philippines", "fertility": 6.85, "life_expect": 54.757, "pop": 29, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Philippines", "fertility": 6.5, "life_expect": 56.393, "pop": 33, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Philippines", "fertility": 6, "life_expect": 58.065, "pop": 39, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Philippines", "fertility": 5.5, "life_expect": 60.06, "pop": 44, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Philippines", "fertility": 4.95, "life_expect": 62.082, "pop": 51, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Philippines", "fertility": 4.55, "life_expect": 64.151, "pop": 57, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Philippines", "fertility": 4.143, "life_expect": 66.458, "pop": 64, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Philippines", "fertility": 3.7248, "life_expect": 68.564, "pop": 72, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Philippines", "fertility": 3.5436, "life_expect": 70.303, "pop": 80, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Philippines", "fertility": 3.2327, "life_expect": 71.688, "pop": 88, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 2, "country": "Rwanda", "fertility": 8, "life_expect": 41.5, "pop": 3, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.1, "life_expect": 43, "pop": 3, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.2, "life_expect": 44.1, "pop": 3, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.29, "life_expect": 44.6, "pop": 4, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.492, "life_expect": 45, "pop": 4, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.5, "life_expect": 46.218, "pop": 5, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.25, "life_expect": 44.02, "pop": 6, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.9, "life_expect": 23.599, "pop": 7, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.0993, "life_expect": 36.087, "pop": 6, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.01, "life_expect": 43.413, "pop": 8, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Rwanda", "fertility": 5.9169, "life_expect": 46.242, "pop": 8, "region": "Africa", "year": 2005 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.175, "life_expect": 42.868, "pop": 4, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.257, "life_expect": 45.914, "pop": 5, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.257, "life_expect": 49.901, "pop": 5, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.298, "life_expect": 53.886, "pop": 6, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.2780000000000005, "life_expect": 58.69, "pop": 7, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.015, "life_expect": 63.012, "pop": 10, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 6.217, "life_expect": 66.295, "pop": 13, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 5.446, "life_expect": 68.768, "pop": 16, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 4.621, "life_expect": 70.533, "pop": 20, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 3.81, "life_expect": 71.626, "pop": 23, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 3.352, "life_expect": 72.777, "pop": 26, "region": "Middle East", "year": 2005 }, { "cluster": 2, "country": "South Africa", "fertility": 6.5, "life_expect": 47.985, "pop": 15, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "South Africa", "fertility": 6.3, "life_expect": 49.951, "pop": 17, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "South Africa", "fertility": 5.7, "life_expect": 51.927, "pop": 20, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "South Africa", "fertility": 5.47, "life_expect": 53.696, "pop": 23, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "South Africa", "fertility": 5, "life_expect": 55.527, "pop": 26, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "South Africa", "fertility": 4.556, "life_expect": 58.161, "pop": 29, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "South Africa", "fertility": 3.85, "life_expect": 60.834, "pop": 34, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "South Africa", "fertility": 3.343, "life_expect": 61.888, "pop": 38, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "South Africa", "fertility": 2.954, "life_expect": 60.236, "pop": 42, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "South Africa", "fertility": 2.802, "life_expect": 53.365, "pop": 44, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "South Africa", "fertility": 2.637, "life_expect": 49.339, "pop": 44, "region": "Africa", "year": 2005 }, { "cluster": 1, "country": "Turkey", "fertility": 6.6, "life_expect": 48.079, "pop": 24, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Turkey", "fertility": 6.19, "life_expect": 52.098, "pop": 28, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Turkey", "fertility": 5.7, "life_expect": 54.336, "pop": 32, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Turkey", "fertility": 5.3, "life_expect": 57.005, "pop": 36, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Turkey", "fertility": 4.715, "life_expect": 59.507, "pop": 41, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Turkey", "fertility": 4.15, "life_expect": 61.036, "pop": 45, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Turkey", "fertility": 3.276, "life_expect": 63.108, "pop": 51, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Turkey", "fertility": 2.904, "life_expect": 66.146, "pop": 56, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Turkey", "fertility": 2.574, "life_expect": 68.835, "pop": 61, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Turkey", "fertility": 2.23, "life_expect": 70.845, "pop": 66, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Turkey", "fertility": 2.143, "life_expect": 71.777, "pop": 70, "region": "Europe", "year": 2005 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.49, "life_expect": 70.42, "pop": 51, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.81, "life_expect": 70.76, "pop": 52, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.52, "life_expect": 71.36, "pop": 54, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.04, "life_expect": 72.01, "pop": 56, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.72, "life_expect": 72.76, "pop": 56, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.8, "life_expect": 74.04, "pop": 56, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.81, "life_expect": 75.007, "pop": 57, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.78, "life_expect": 76.42, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.7000000000000002, "life_expect": 77.218, "pop": 58, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.695, "life_expect": 78.471, "pop": 60, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.815, "life_expect": 79.425, "pop": 60, "region": "Europe", "year": 2005 }, { "cluster": 3, "country": "United States", "fertility": 3.706, "life_expect": 69.49, "pop": 166, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "United States", "fertility": 3.314, "life_expect": 70.21, "pop": 181, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "United States", "fertility": 2.545, "life_expect": 70.76, "pop": 194, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "United States", "fertility": 2.016, "life_expect": 71.34, "pop": 205, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "United States", "fertility": 1.788, "life_expect": 73.38, "pop": 216, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "United States", "fertility": 1.8250000000000002, "life_expect": 74.65, "pop": 228, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "United States", "fertility": 1.924, "life_expect": 75.02, "pop": 238, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "United States", "fertility": 2.025, "life_expect": 76.09, "pop": 250, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "United States", "fertility": 1.994, "life_expect": 76.81, "pop": 267, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "United States", "fertility": 2.038, "life_expect": 77.31, "pop": 282, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "United States", "fertility": 2.054, "life_expect": 78.242, "pop": 296, "region": "Americas", "year": 2005 } ] }, "encoding": { "color": { "field": "region", "type": "nominal" }, "size": { "field": "pop", "scale": { "range": [ 10, 300 ] }, "type": "quantitative" }, "x": { "field": "life_expect", "type": "quantitative" }, "y": { "field": "fertility", "type": "quantitative" } }, "mark": "circle", "selection": { "selector001": { "bind": "scales", "encodings": [ "x", "y" ], "type": "interval" } } }, "image/png": "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", "text/plain": [ "<VegaLite 3 object>\n", "\n", "If you see this message, it means the renderer has not been properly enabled\n", "for the frontend that you are using. For more information, see\n", "https://altair-viz.github.io/user_guide/troubleshooting.html\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "chart = alt.Chart(\n", " df\n", ").mark_circle(\n", ").encode(\n", " x='life_expect',\n", " y='fertility',\n", " color='region:N',\n", " size=alt.Size('pop', scale=alt.Scale(range=[10, 300]))\n", ").interactive() # enable pan/zoom\n", "\n", "chart.display()" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "application/vnd.vegalite.v3+json": { "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json", "config": { "mark": { "tooltip": null }, "view": { "height": 300, "width": 400 } }, "data": { "name": "data-eb55b3c04935b1d5bce4fa9a8c24136b" }, "datasets": { "data-eb55b3c04935b1d5bce4fa9a8c24136b": [ { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 30.332, "pop": 9, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 31.997, "pop": 10, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 34.02, "pop": 11, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 36.088, "pop": 12, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 38.438, "pop": 14, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.8, "life_expect": 39.854, "pop": 15, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.9, "life_expect": 40.822, "pop": 14, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Afghanistan", "fertility": 8, "life_expect": 41.674, "pop": 15, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Afghanistan", "fertility": 8, "life_expect": 41.763, "pop": 21, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.4792, "life_expect": 42.129, "pop": 24, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.0685, "life_expect": 43.828, "pop": 30, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 3, "country": "Argentina", "fertility": 3.1265, "life_expect": 64.399, "pop": 19, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Argentina", "fertility": 3.0895, "life_expect": 65.142, "pop": 21, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Argentina", "fertility": 3.049, "life_expect": 65.634, "pop": 22, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Argentina", "fertility": 3.1455, "life_expect": 67.065, "pop": 24, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Argentina", "fertility": 3.44, "life_expect": 68.481, "pop": 26, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Argentina", "fertility": 3.15, "life_expect": 69.942, "pop": 28, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Argentina", "fertility": 3.053, "life_expect": 70.774, "pop": 31, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Argentina", "fertility": 2.9, "life_expect": 71.868, "pop": 33, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Argentina", "fertility": 2.63, "life_expect": 73.275, "pop": 35, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Argentina", "fertility": 2.35, "life_expect": 74.34, "pop": 37, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Argentina", "fertility": 2.254, "life_expect": 75.32, "pop": 40, "region": "Americas", "year": 2005 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.76, "life_expect": 39.348, "pop": 50, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.85, "life_expect": 41.216, "pop": 55, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.6, "life_expect": 43.453, "pop": 60, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.15, "life_expect": 45.252, "pop": 67, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Bangladesh", "fertility": 5.6, "life_expect": 46.923, "pop": 76, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Bangladesh", "fertility": 5.25, "life_expect": 50.009, "pop": 88, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Bangladesh", "fertility": 4.629, "life_expect": 52.819, "pop": 100, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Bangladesh", "fertility": 4.117, "life_expect": 56.018, "pop": 110, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Bangladesh", "fertility": 3.5042999999999997, "life_expect": 59.412, "pop": 119, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Bangladesh", "fertility": 3.224, "life_expect": 62.013, "pop": 130, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Bangladesh", "fertility": 2.826, "life_expect": 64.062, "pop": 144, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 3, "country": "Brazil", "fertility": 6.1501, "life_expect": 53.285, "pop": 62, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Brazil", "fertility": 6.1501, "life_expect": 55.665, "pop": 72, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Brazil", "fertility": 5.38, "life_expect": 57.632, "pop": 83, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Brazil", "fertility": 4.7175, "life_expect": 59.504, "pop": 96, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Brazil", "fertility": 4.305, "life_expect": 61.489, "pop": 109, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Brazil", "fertility": 3.8, "life_expect": 63.336, "pop": 123, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Brazil", "fertility": 3.1, "life_expect": 65.205, "pop": 137, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Brazil", "fertility": 2.6, "life_expect": 67.057, "pop": 151, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Brazil", "fertility": 2.45, "life_expect": 69.388, "pop": 164, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Brazil", "fertility": 2.345, "life_expect": 71.006, "pop": 176, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Brazil", "fertility": 2.245, "life_expect": 72.39, "pop": 186, "region": "Americas", "year": 2005 }, { "cluster": 4, "country": "China", "fertility": 5.59, "life_expect": 50.54896, "pop": 609, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "China", "fertility": 5.72, "life_expect": 44.50136, "pop": 667, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "China", "fertility": 6.06, "life_expect": 58.38112, "pop": 715, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "China", "fertility": 4.86, "life_expect": 63.11888, "pop": 818, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "China", "fertility": 3.32, "life_expect": 63.96736, "pop": 916, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "China", "fertility": 2.55, "life_expect": 65.525, "pop": 981, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "China", "fertility": 2.46, "life_expect": 67.274, "pop": 1051, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "China", "fertility": 1.92, "life_expect": 68.69, "pop": 1135, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "China", "fertility": 1.7810000000000001, "life_expect": 70.426, "pop": 1205, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "China", "fertility": 1.7000000000000002, "life_expect": 72.028, "pop": 1263, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "China", "fertility": 1.725, "life_expect": 72.961, "pop": 1303, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 3, "country": "Colombia", "fertility": 6.76, "life_expect": 55.118, "pop": 14, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Colombia", "fertility": 6.76, "life_expect": 57.863, "pop": 16, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Colombia", "fertility": 6.18, "life_expect": 59.963, "pop": 19, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Colombia", "fertility": 5.0005, "life_expect": 61.623, "pop": 21, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Colombia", "fertility": 4.3385, "life_expect": 63.837, "pop": 24, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Colombia", "fertility": 3.685, "life_expect": 66.653, "pop": 27, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Colombia", "fertility": 3.172, "life_expect": 67.768, "pop": 30, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Colombia", "fertility": 2.93005, "life_expect": 68.421, "pop": 33, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Colombia", "fertility": 2.7, "life_expect": 70.313, "pop": 36, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Colombia", "fertility": 2.4705, "life_expect": 71.682, "pop": 40, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Colombia", "fertility": 2.2205, "life_expect": 72.889, "pop": 43, "region": "Americas", "year": 2005 }, { "cluster": 5, "country": "Egypt", "fertility": 6.97, "life_expect": 44.444, "pop": 24, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Egypt", "fertility": 7.073, "life_expect": 46.992, "pop": 27, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Egypt", "fertility": 6.5600000000000005, "life_expect": 49.293, "pop": 30, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Egypt", "fertility": 5.855, "life_expect": 51.137, "pop": 34, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Egypt", "fertility": 5.609, "life_expect": 53.319, "pop": 37, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Egypt", "fertility": 5.332, "life_expect": 56.006, "pop": 43, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Egypt", "fertility": 4.833, "life_expect": 59.797, "pop": 50, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Egypt", "fertility": 3.908, "life_expect": 63.674, "pop": 57, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Egypt", "fertility": 3.5, "life_expect": 67.217, "pop": 63, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Egypt", "fertility": 3.174, "life_expect": 69.806, "pop": 70, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Egypt", "fertility": 2.891, "life_expect": 71.338, "pop": 78, "region": "Middle East", "year": 2005 }, { "cluster": 1, "country": "France", "fertility": 2.7119999999999997, "life_expect": 68.93, "pop": 43, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "France", "fertility": 2.85, "life_expect": 70.51, "pop": 46, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "France", "fertility": 2.607, "life_expect": 71.55, "pop": 49, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "France", "fertility": 2.31, "life_expect": 72.38, "pop": 51, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "France", "fertility": 1.862, "life_expect": 73.83, "pop": 53, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "France", "fertility": 1.866, "life_expect": 74.89, "pop": 54, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "France", "fertility": 1.8050000000000002, "life_expect": 76.34, "pop": 55, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "France", "fertility": 1.713, "life_expect": 77.46, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "France", "fertility": 1.7624, "life_expect": 78.64, "pop": 58, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "France", "fertility": 1.8833000000000002, "life_expect": 79.59, "pop": 59, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "France", "fertility": 1.8916, "life_expect": 80.657, "pop": 61, "region": "Europe", "year": 2005 }, { "cluster": 1, "country": "Germany", "fertility": 2.3, "life_expect": 69.1, "pop": 70, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Germany", "fertility": 2.49, "life_expect": 70.3, "pop": 72, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Germany", "fertility": 2.32, "life_expect": 70.8, "pop": 76, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Germany", "fertility": 1.6400000000000001, "life_expect": 71, "pop": 78, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Germany", "fertility": 1.52, "life_expect": 72.5, "pop": 79, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Germany", "fertility": 1.46, "life_expect": 73.8, "pop": 78, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Germany", "fertility": 1.43, "life_expect": 74.847, "pop": 78, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Germany", "fertility": 1.31, "life_expect": 76.07, "pop": 79, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Germany", "fertility": 1.34, "life_expect": 77.34, "pop": 82, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Germany", "fertility": 1.346, "life_expect": 78.67, "pop": 82, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Germany", "fertility": 1.3599999999999999, "life_expect": 79.406, "pop": 82, "region": "Europe", "year": 2005 }, { "cluster": 0, "country": "India", "fertility": 5.8961, "life_expect": 40.249, "pop": 393, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "India", "fertility": 5.8216, "life_expect": 43.605, "pop": 434, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "India", "fertility": 5.6058, "life_expect": 47.193, "pop": 485, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "India", "fertility": 5.264, "life_expect": 50.651, "pop": 541, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "India", "fertility": 4.8888, "life_expect": 54.208, "pop": 607, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "India", "fertility": 4.4975, "life_expect": 56.596, "pop": 679, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "India", "fertility": 4.15, "life_expect": 58.553, "pop": 755, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "India", "fertility": 3.8648, "life_expect": 60.223, "pop": 839, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "India", "fertility": 3.4551, "life_expect": 61.765, "pop": 927, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "India", "fertility": 3.1132, "life_expect": 62.879, "pop": 1008, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "India", "fertility": 2.8073, "life_expect": 64.698, "pop": 1080, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.672, "life_expect": 39.918, "pop": 87, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.62, "life_expect": 42.518, "pop": 95, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.568, "life_expect": 45.964, "pop": 105, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.3, "life_expect": 49.203, "pop": 116, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Indonesia", "fertility": 4.73, "life_expect": 52.702, "pop": 130, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Indonesia", "fertility": 4.109, "life_expect": 56.159, "pop": 147, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Indonesia", "fertility": 3.4, "life_expect": 60.137, "pop": 163, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.9, "life_expect": 62.681, "pop": 178, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.55, "life_expect": 66.041, "pop": 195, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.3761, "life_expect": 68.588, "pop": 206, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.182, "life_expect": 70.65, "pop": 218, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 5, "country": "Iran", "fertility": 7, "life_expect": 47.181, "pop": 19, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Iran", "fertility": 7, "life_expect": 49.325, "pop": 22, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Iran", "fertility": 6.8, "life_expect": 52.469, "pop": 25, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Iran", "fertility": 6.4, "life_expect": 55.234, "pop": 29, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Iran", "fertility": 6.5, "life_expect": 57.702, "pop": 33, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Iran", "fertility": 6.63, "life_expect": 59.62, "pop": 40, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Iran", "fertility": 5.62, "life_expect": 63.04, "pop": 48, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Iran", "fertility": 4.328, "life_expect": 65.742, "pop": 57, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Iran", "fertility": 2.534, "life_expect": 68.042, "pop": 62, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Iran", "fertility": 2.124, "life_expect": 69.451, "pop": 66, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Iran", "fertility": 2.04, "life_expect": 70.964, "pop": 68, "region": "Middle East", "year": 2005 }, { "cluster": 5, "country": "Iraq", "fertility": 7.3, "life_expect": 48.437, "pop": 6, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Iraq", "fertility": 7.25, "life_expect": 51.457, "pop": 7, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Iraq", "fertility": 7.2, "life_expect": 54.459, "pop": 8, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Iraq", "fertility": 7.15, "life_expect": 56.95, "pop": 9, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Iraq", "fertility": 6.8, "life_expect": 60.413, "pop": 11, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Iraq", "fertility": 6.35, "life_expect": 62.038, "pop": 13, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Iraq", "fertility": 6.15, "life_expect": 65.044, "pop": 16, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Iraq", "fertility": 5.7, "life_expect": 59.461, "pop": 18, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Iraq", "fertility": 5.37, "life_expect": 58.811, "pop": 20, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Iraq", "fertility": 4.858, "life_expect": 57.046, "pop": 23, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Iraq", "fertility": 4.264, "life_expect": 59.545, "pop": 26, "region": "Middle East", "year": 2005 }, { "cluster": 5, "country": "Israel", "fertility": 3.893, "life_expect": 67.84, "pop": 2, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Israel", "fertility": 3.852, "life_expect": 69.39, "pop": 2, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Israel", "fertility": 3.79, "life_expect": 70.75, "pop": 3, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Israel", "fertility": 3.77, "life_expect": 71.63, "pop": 3, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Israel", "fertility": 3.409, "life_expect": 73.06, "pop": 3, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Israel", "fertility": 3.125, "life_expect": 74.45, "pop": 4, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Israel", "fertility": 3.051, "life_expect": 75.6, "pop": 4, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Israel", "fertility": 2.933, "life_expect": 76.93, "pop": 5, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Israel", "fertility": 2.942, "life_expect": 78.269, "pop": 5, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Israel", "fertility": 2.906, "life_expect": 79.696, "pop": 6, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Israel", "fertility": 2.75, "life_expect": 80.745, "pop": 6, "region": "Middle East", "year": 2005 }, { "cluster": 1, "country": "Italy", "fertility": 2.35, "life_expect": 67.81, "pop": 49, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Italy", "fertility": 2.498, "life_expect": 69.24, "pop": 50, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Italy", "fertility": 2.493, "life_expect": 71.06, "pop": 52, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Italy", "fertility": 2.325, "life_expect": 72.19, "pop": 54, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Italy", "fertility": 1.889, "life_expect": 73.48, "pop": 56, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Italy", "fertility": 1.53, "life_expect": 74.98, "pop": 56, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Italy", "fertility": 1.349, "life_expect": 76.42, "pop": 57, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Italy", "fertility": 1.275, "life_expect": 77.44, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Italy", "fertility": 1.213, "life_expect": 78.82, "pop": 57, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Italy", "fertility": 1.286, "life_expect": 80.24, "pop": 58, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Italy", "fertility": 1.379, "life_expect": 80.546, "pop": 58, "region": "Europe", "year": 2005 }, { "cluster": 4, "country": "Japan", "fertility": 2.08, "life_expect": 65.5, "pop": 90, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Japan", "fertility": 2.02, "life_expect": 68.73, "pop": 94, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Japan", "fertility": 2, "life_expect": 71.43, "pop": 99, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Japan", "fertility": 2.07, "life_expect": 73.42, "pop": 104, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Japan", "fertility": 1.81, "life_expect": 75.38, "pop": 112, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Japan", "fertility": 1.76, "life_expect": 77.11, "pop": 117, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Japan", "fertility": 1.6600000000000001, "life_expect": 78.67, "pop": 121, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Japan", "fertility": 1.49, "life_expect": 79.36, "pop": 124, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Japan", "fertility": 1.3900000000000001, "life_expect": 80.69, "pop": 125, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Japan", "fertility": 1.291, "life_expect": 82, "pop": 127, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Japan", "fertility": 1.27, "life_expect": 82.603, "pop": 127, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 2, "country": "Kenya", "fertility": 7.816, "life_expect": 44.686, "pop": 7, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Kenya", "fertility": 8.12, "life_expect": 47.949, "pop": 8, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Kenya", "fertility": 8.12, "life_expect": 50.654, "pop": 10, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Kenya", "fertility": 8, "life_expect": 53.559, "pop": 11, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Kenya", "fertility": 7.6, "life_expect": 56.155, "pop": 13, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Kenya", "fertility": 7.2, "life_expect": 58.766, "pop": 16, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Kenya", "fertility": 6.5, "life_expect": 59.339, "pop": 20, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Kenya", "fertility": 5.4, "life_expect": 59.285, "pop": 23, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Kenya", "fertility": 5, "life_expect": 54.407, "pop": 27, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Kenya", "fertility": 5, "life_expect": 50.992, "pop": 30, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Kenya", "fertility": 4.959, "life_expect": 54.11, "pop": 34, "region": "Africa", "year": 2005 }, { "cluster": 3, "country": "Mexico", "fertility": 6.8, "life_expect": 55.19, "pop": 33, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Mexico", "fertility": 6.7495, "life_expect": 58.299, "pop": 39, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Mexico", "fertility": 6.7495, "life_expect": 60.11, "pop": 45, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Mexico", "fertility": 6.5, "life_expect": 62.361, "pop": 53, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Mexico", "fertility": 5.2505, "life_expect": 65.032, "pop": 61, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Mexico", "fertility": 4.25, "life_expect": 67.405, "pop": 68, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Mexico", "fertility": 3.6295, "life_expect": 69.498, "pop": 77, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Mexico", "fertility": 3.1905, "life_expect": 71.455, "pop": 85, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Mexico", "fertility": 2.6705, "life_expect": 73.67, "pop": 93, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Mexico", "fertility": 2.4005, "life_expect": 74.902, "pop": 100, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Mexico", "fertility": 2.211, "life_expect": 76.195, "pop": 106, "region": "Americas", "year": 2005 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 37.802, "pop": 35, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 39.36, "pop": 40, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 41.04, "pop": 45, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 42.821, "pop": 51, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 44.514, "pop": 59, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 45.826, "pop": 69, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.834, "life_expect": 46.886, "pop": 78, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.635, "life_expect": 47.472, "pop": 89, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.246, "life_expect": 47.464, "pop": 101, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Nigeria", "fertility": 5.845, "life_expect": 46.608, "pop": 114, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Nigeria", "fertility": 5.322, "life_expect": 46.859, "pop": 129, "region": "Africa", "year": 2005 }, { "cluster": 4, "country": "North Korea", "fertility": 6.332, "life_expect": 52.681, "pop": 22, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "North Korea", "fertility": 5.63, "life_expect": 55.292, "pop": 25, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "North Korea", "fertility": 4.708, "life_expect": 57.716, "pop": 29, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "North Korea", "fertility": 4.281, "life_expect": 62.612, "pop": 32, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "North Korea", "fertility": 2.919, "life_expect": 64.766, "pop": 35, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "North Korea", "fertility": 2.234, "life_expect": 67.123, "pop": 38, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "North Korea", "fertility": 1.601, "life_expect": 69.81, "pop": 41, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "North Korea", "fertility": 1.6960000000000002, "life_expect": 72.244, "pop": 43, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "North Korea", "fertility": 1.514, "life_expect": 74.647, "pop": 45, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "North Korea", "fertility": 1.242, "life_expect": 77.045, "pop": 47, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "North Korea", "fertility": 1.21, "life_expect": 78.623, "pop": 49, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 45.557, "pop": 44, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 47.67, "pop": 50, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 49.8, "pop": 57, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 51.929, "pop": 66, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 54.043, "pop": 75, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 56.158, "pop": 85, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.66, "life_expect": 58.245, "pop": 99, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Pakistan", "fertility": 5.8, "life_expect": 60.838, "pop": 115, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Pakistan", "fertility": 4.9596, "life_expect": 61.818, "pop": 129, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Pakistan", "fertility": 3.9936, "life_expect": 63.61, "pop": 146, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Pakistan", "fertility": 3.5211, "life_expect": 65.483, "pop": 162, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 4, "country": "Philippines", "fertility": 7.13, "life_expect": 51.334, "pop": 25, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Philippines", "fertility": 6.85, "life_expect": 54.757, "pop": 29, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Philippines", "fertility": 6.5, "life_expect": 56.393, "pop": 33, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Philippines", "fertility": 6, "life_expect": 58.065, "pop": 39, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Philippines", "fertility": 5.5, "life_expect": 60.06, "pop": 44, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Philippines", "fertility": 4.95, "life_expect": 62.082, "pop": 51, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Philippines", "fertility": 4.55, "life_expect": 64.151, "pop": 57, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Philippines", "fertility": 4.143, "life_expect": 66.458, "pop": 64, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Philippines", "fertility": 3.7248, "life_expect": 68.564, "pop": 72, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Philippines", "fertility": 3.5436, "life_expect": 70.303, "pop": 80, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Philippines", "fertility": 3.2327, "life_expect": 71.688, "pop": 88, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 2, "country": "Rwanda", "fertility": 8, "life_expect": 41.5, "pop": 3, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.1, "life_expect": 43, "pop": 3, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.2, "life_expect": 44.1, "pop": 3, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.29, "life_expect": 44.6, "pop": 4, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.492, "life_expect": 45, "pop": 4, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.5, "life_expect": 46.218, "pop": 5, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.25, "life_expect": 44.02, "pop": 6, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.9, "life_expect": 23.599, "pop": 7, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.0993, "life_expect": 36.087, "pop": 6, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.01, "life_expect": 43.413, "pop": 8, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Rwanda", "fertility": 5.9169, "life_expect": 46.242, "pop": 8, "region": "Africa", "year": 2005 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.175, "life_expect": 42.868, "pop": 4, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.257, "life_expect": 45.914, "pop": 5, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.257, "life_expect": 49.901, "pop": 5, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.298, "life_expect": 53.886, "pop": 6, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.2780000000000005, "life_expect": 58.69, "pop": 7, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.015, "life_expect": 63.012, "pop": 10, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 6.217, "life_expect": 66.295, "pop": 13, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 5.446, "life_expect": 68.768, "pop": 16, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 4.621, "life_expect": 70.533, "pop": 20, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 3.81, "life_expect": 71.626, "pop": 23, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 3.352, "life_expect": 72.777, "pop": 26, "region": "Middle East", "year": 2005 }, { "cluster": 2, "country": "South Africa", "fertility": 6.5, "life_expect": 47.985, "pop": 15, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "South Africa", "fertility": 6.3, "life_expect": 49.951, "pop": 17, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "South Africa", "fertility": 5.7, "life_expect": 51.927, "pop": 20, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "South Africa", "fertility": 5.47, "life_expect": 53.696, "pop": 23, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "South Africa", "fertility": 5, "life_expect": 55.527, "pop": 26, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "South Africa", "fertility": 4.556, "life_expect": 58.161, "pop": 29, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "South Africa", "fertility": 3.85, "life_expect": 60.834, "pop": 34, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "South Africa", "fertility": 3.343, "life_expect": 61.888, "pop": 38, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "South Africa", "fertility": 2.954, "life_expect": 60.236, "pop": 42, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "South Africa", "fertility": 2.802, "life_expect": 53.365, "pop": 44, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "South Africa", "fertility": 2.637, "life_expect": 49.339, "pop": 44, "region": "Africa", "year": 2005 }, { "cluster": 1, "country": "Turkey", "fertility": 6.6, "life_expect": 48.079, "pop": 24, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Turkey", "fertility": 6.19, "life_expect": 52.098, "pop": 28, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Turkey", "fertility": 5.7, "life_expect": 54.336, "pop": 32, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Turkey", "fertility": 5.3, "life_expect": 57.005, "pop": 36, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Turkey", "fertility": 4.715, "life_expect": 59.507, "pop": 41, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Turkey", "fertility": 4.15, "life_expect": 61.036, "pop": 45, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Turkey", "fertility": 3.276, "life_expect": 63.108, "pop": 51, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Turkey", "fertility": 2.904, "life_expect": 66.146, "pop": 56, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Turkey", "fertility": 2.574, "life_expect": 68.835, "pop": 61, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Turkey", "fertility": 2.23, "life_expect": 70.845, "pop": 66, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Turkey", "fertility": 2.143, "life_expect": 71.777, "pop": 70, "region": "Europe", "year": 2005 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.49, "life_expect": 70.42, "pop": 51, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.81, "life_expect": 70.76, "pop": 52, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.52, "life_expect": 71.36, "pop": 54, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.04, "life_expect": 72.01, "pop": 56, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.72, "life_expect": 72.76, "pop": 56, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.8, "life_expect": 74.04, "pop": 56, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.81, "life_expect": 75.007, "pop": 57, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.78, "life_expect": 76.42, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.7000000000000002, "life_expect": 77.218, "pop": 58, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.695, "life_expect": 78.471, "pop": 60, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.815, "life_expect": 79.425, "pop": 60, "region": "Europe", "year": 2005 }, { "cluster": 3, "country": "United States", "fertility": 3.706, "life_expect": 69.49, "pop": 166, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "United States", "fertility": 3.314, "life_expect": 70.21, "pop": 181, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "United States", "fertility": 2.545, "life_expect": 70.76, "pop": 194, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "United States", "fertility": 2.016, "life_expect": 71.34, "pop": 205, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "United States", "fertility": 1.788, "life_expect": 73.38, "pop": 216, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "United States", "fertility": 1.8250000000000002, "life_expect": 74.65, "pop": 228, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "United States", "fertility": 1.924, "life_expect": 75.02, "pop": 238, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "United States", "fertility": 2.025, "life_expect": 76.09, "pop": 250, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "United States", "fertility": 1.994, "life_expect": 76.81, "pop": 267, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "United States", "fertility": 2.038, "life_expect": 77.31, "pop": 282, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "United States", "fertility": 2.054, "life_expect": 78.242, "pop": 296, "region": "Americas", "year": 2005 } ] }, "encoding": { "color": { "field": "region", "type": "nominal" }, "size": { "field": "pop", "scale": { "range": [ 10, 300 ] }, "type": "quantitative" }, "tooltip": [ { "field": "country", "type": "nominal" }, { "field": "region", "type": "nominal" }, { "field": "pop", "type": "quantitative" }, { "field": "fertility", "type": "quantitative" }, { "field": "life_expect", "type": "quantitative" }, { "field": "year", "type": "quantitative" } ], "x": { "field": "life_expect", "type": "quantitative" }, "y": { "field": "fertility", "type": "quantitative" } }, "mark": "circle", "selection": { "selector002": { "bind": "scales", "encodings": [ "x", "y" ], "type": "interval" } } }, "image/png": "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", "text/plain": [ "<VegaLite 3 object>\n", "\n", "If you see this message, it means the renderer has not been properly enabled\n", "for the frontend that you are using. For more information, see\n", "https://altair-viz.github.io/user_guide/troubleshooting.html\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "chart = alt.Chart(\n", " df\n", ").mark_circle(\n", ").encode(\n", " x='life_expect',\n", " y='fertility',\n", " color='region:N',\n", " size=alt.Size('pop', scale=alt.Scale(range=[10, 300])),\n", " tooltip=['country', 'region', 'pop', 'fertility', 'life_expect', 'year'] # add a tooltip\n", ").interactive()\n", "\n", "chart.display()" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "application/vnd.vegalite.v3+json": { "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json", "config": { "mark": { "tooltip": null }, "view": { "height": 300, "width": 400 } }, "data": { "name": "data-eb55b3c04935b1d5bce4fa9a8c24136b" }, "datasets": { "data-eb55b3c04935b1d5bce4fa9a8c24136b": [ { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 30.332, "pop": 9, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 31.997, "pop": 10, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 34.02, "pop": 11, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 36.088, "pop": 12, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 38.438, "pop": 14, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.8, "life_expect": 39.854, "pop": 15, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.9, "life_expect": 40.822, "pop": 14, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Afghanistan", "fertility": 8, "life_expect": 41.674, "pop": 15, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Afghanistan", "fertility": 8, "life_expect": 41.763, "pop": 21, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.4792, "life_expect": 42.129, "pop": 24, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.0685, "life_expect": 43.828, "pop": 30, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 3, "country": "Argentina", "fertility": 3.1265, "life_expect": 64.399, "pop": 19, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Argentina", "fertility": 3.0895, "life_expect": 65.142, "pop": 21, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Argentina", "fertility": 3.049, "life_expect": 65.634, "pop": 22, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Argentina", "fertility": 3.1455, "life_expect": 67.065, "pop": 24, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Argentina", "fertility": 3.44, "life_expect": 68.481, "pop": 26, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Argentina", "fertility": 3.15, "life_expect": 69.942, "pop": 28, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Argentina", "fertility": 3.053, "life_expect": 70.774, "pop": 31, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Argentina", "fertility": 2.9, "life_expect": 71.868, "pop": 33, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Argentina", "fertility": 2.63, "life_expect": 73.275, "pop": 35, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Argentina", "fertility": 2.35, "life_expect": 74.34, "pop": 37, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Argentina", "fertility": 2.254, "life_expect": 75.32, "pop": 40, "region": "Americas", "year": 2005 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.76, "life_expect": 39.348, "pop": 50, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.85, "life_expect": 41.216, "pop": 55, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.6, "life_expect": 43.453, "pop": 60, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.15, "life_expect": 45.252, "pop": 67, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Bangladesh", "fertility": 5.6, "life_expect": 46.923, "pop": 76, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Bangladesh", "fertility": 5.25, "life_expect": 50.009, "pop": 88, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Bangladesh", "fertility": 4.629, "life_expect": 52.819, "pop": 100, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Bangladesh", "fertility": 4.117, "life_expect": 56.018, "pop": 110, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Bangladesh", "fertility": 3.5042999999999997, "life_expect": 59.412, "pop": 119, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Bangladesh", "fertility": 3.224, "life_expect": 62.013, "pop": 130, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Bangladesh", "fertility": 2.826, "life_expect": 64.062, "pop": 144, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 3, "country": "Brazil", "fertility": 6.1501, "life_expect": 53.285, "pop": 62, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Brazil", "fertility": 6.1501, "life_expect": 55.665, "pop": 72, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Brazil", "fertility": 5.38, "life_expect": 57.632, "pop": 83, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Brazil", "fertility": 4.7175, "life_expect": 59.504, "pop": 96, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Brazil", "fertility": 4.305, "life_expect": 61.489, "pop": 109, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Brazil", "fertility": 3.8, "life_expect": 63.336, "pop": 123, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Brazil", "fertility": 3.1, "life_expect": 65.205, "pop": 137, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Brazil", "fertility": 2.6, "life_expect": 67.057, "pop": 151, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Brazil", "fertility": 2.45, "life_expect": 69.388, "pop": 164, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Brazil", "fertility": 2.345, "life_expect": 71.006, "pop": 176, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Brazil", "fertility": 2.245, "life_expect": 72.39, "pop": 186, "region": "Americas", "year": 2005 }, { "cluster": 4, "country": "China", "fertility": 5.59, "life_expect": 50.54896, "pop": 609, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "China", "fertility": 5.72, "life_expect": 44.50136, "pop": 667, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "China", "fertility": 6.06, "life_expect": 58.38112, "pop": 715, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "China", "fertility": 4.86, "life_expect": 63.11888, "pop": 818, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "China", "fertility": 3.32, "life_expect": 63.96736, "pop": 916, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "China", "fertility": 2.55, "life_expect": 65.525, "pop": 981, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "China", "fertility": 2.46, "life_expect": 67.274, "pop": 1051, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "China", "fertility": 1.92, "life_expect": 68.69, "pop": 1135, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "China", "fertility": 1.7810000000000001, "life_expect": 70.426, "pop": 1205, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "China", "fertility": 1.7000000000000002, "life_expect": 72.028, "pop": 1263, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "China", "fertility": 1.725, "life_expect": 72.961, "pop": 1303, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 3, "country": "Colombia", "fertility": 6.76, "life_expect": 55.118, "pop": 14, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Colombia", "fertility": 6.76, "life_expect": 57.863, "pop": 16, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Colombia", "fertility": 6.18, "life_expect": 59.963, "pop": 19, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Colombia", "fertility": 5.0005, "life_expect": 61.623, "pop": 21, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Colombia", "fertility": 4.3385, "life_expect": 63.837, "pop": 24, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Colombia", "fertility": 3.685, "life_expect": 66.653, "pop": 27, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Colombia", "fertility": 3.172, "life_expect": 67.768, "pop": 30, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Colombia", "fertility": 2.93005, "life_expect": 68.421, "pop": 33, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Colombia", "fertility": 2.7, "life_expect": 70.313, "pop": 36, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Colombia", "fertility": 2.4705, "life_expect": 71.682, "pop": 40, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Colombia", "fertility": 2.2205, "life_expect": 72.889, "pop": 43, "region": "Americas", "year": 2005 }, { "cluster": 5, "country": "Egypt", "fertility": 6.97, "life_expect": 44.444, "pop": 24, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Egypt", "fertility": 7.073, "life_expect": 46.992, "pop": 27, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Egypt", "fertility": 6.5600000000000005, "life_expect": 49.293, "pop": 30, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Egypt", "fertility": 5.855, "life_expect": 51.137, "pop": 34, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Egypt", "fertility": 5.609, "life_expect": 53.319, "pop": 37, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Egypt", "fertility": 5.332, "life_expect": 56.006, "pop": 43, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Egypt", "fertility": 4.833, "life_expect": 59.797, "pop": 50, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Egypt", "fertility": 3.908, "life_expect": 63.674, "pop": 57, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Egypt", "fertility": 3.5, "life_expect": 67.217, "pop": 63, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Egypt", "fertility": 3.174, "life_expect": 69.806, "pop": 70, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Egypt", "fertility": 2.891, "life_expect": 71.338, "pop": 78, "region": "Middle East", "year": 2005 }, { "cluster": 1, "country": "France", "fertility": 2.7119999999999997, "life_expect": 68.93, "pop": 43, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "France", "fertility": 2.85, "life_expect": 70.51, "pop": 46, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "France", "fertility": 2.607, "life_expect": 71.55, "pop": 49, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "France", "fertility": 2.31, "life_expect": 72.38, "pop": 51, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "France", "fertility": 1.862, "life_expect": 73.83, "pop": 53, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "France", "fertility": 1.866, "life_expect": 74.89, "pop": 54, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "France", "fertility": 1.8050000000000002, "life_expect": 76.34, "pop": 55, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "France", "fertility": 1.713, "life_expect": 77.46, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "France", "fertility": 1.7624, "life_expect": 78.64, "pop": 58, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "France", "fertility": 1.8833000000000002, "life_expect": 79.59, "pop": 59, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "France", "fertility": 1.8916, "life_expect": 80.657, "pop": 61, "region": "Europe", "year": 2005 }, { "cluster": 1, "country": "Germany", "fertility": 2.3, "life_expect": 69.1, "pop": 70, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Germany", "fertility": 2.49, "life_expect": 70.3, "pop": 72, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Germany", "fertility": 2.32, "life_expect": 70.8, "pop": 76, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Germany", "fertility": 1.6400000000000001, "life_expect": 71, "pop": 78, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Germany", "fertility": 1.52, "life_expect": 72.5, "pop": 79, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Germany", "fertility": 1.46, "life_expect": 73.8, "pop": 78, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Germany", "fertility": 1.43, "life_expect": 74.847, "pop": 78, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Germany", "fertility": 1.31, "life_expect": 76.07, "pop": 79, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Germany", "fertility": 1.34, "life_expect": 77.34, "pop": 82, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Germany", "fertility": 1.346, "life_expect": 78.67, "pop": 82, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Germany", "fertility": 1.3599999999999999, "life_expect": 79.406, "pop": 82, "region": "Europe", "year": 2005 }, { "cluster": 0, "country": "India", "fertility": 5.8961, "life_expect": 40.249, "pop": 393, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "India", "fertility": 5.8216, "life_expect": 43.605, "pop": 434, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "India", "fertility": 5.6058, "life_expect": 47.193, "pop": 485, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "India", "fertility": 5.264, "life_expect": 50.651, "pop": 541, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "India", "fertility": 4.8888, "life_expect": 54.208, "pop": 607, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "India", "fertility": 4.4975, "life_expect": 56.596, "pop": 679, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "India", "fertility": 4.15, "life_expect": 58.553, "pop": 755, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "India", "fertility": 3.8648, "life_expect": 60.223, "pop": 839, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "India", "fertility": 3.4551, "life_expect": 61.765, "pop": 927, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "India", "fertility": 3.1132, "life_expect": 62.879, "pop": 1008, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "India", "fertility": 2.8073, "life_expect": 64.698, "pop": 1080, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.672, "life_expect": 39.918, "pop": 87, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.62, "life_expect": 42.518, "pop": 95, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.568, "life_expect": 45.964, "pop": 105, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.3, "life_expect": 49.203, "pop": 116, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Indonesia", "fertility": 4.73, "life_expect": 52.702, "pop": 130, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Indonesia", "fertility": 4.109, "life_expect": 56.159, "pop": 147, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Indonesia", "fertility": 3.4, "life_expect": 60.137, "pop": 163, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.9, "life_expect": 62.681, "pop": 178, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.55, "life_expect": 66.041, "pop": 195, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.3761, "life_expect": 68.588, "pop": 206, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.182, "life_expect": 70.65, "pop": 218, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 5, "country": "Iran", "fertility": 7, "life_expect": 47.181, "pop": 19, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Iran", "fertility": 7, "life_expect": 49.325, "pop": 22, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Iran", "fertility": 6.8, "life_expect": 52.469, "pop": 25, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Iran", "fertility": 6.4, "life_expect": 55.234, "pop": 29, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Iran", "fertility": 6.5, "life_expect": 57.702, "pop": 33, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Iran", "fertility": 6.63, "life_expect": 59.62, "pop": 40, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Iran", "fertility": 5.62, "life_expect": 63.04, "pop": 48, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Iran", "fertility": 4.328, "life_expect": 65.742, "pop": 57, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Iran", "fertility": 2.534, "life_expect": 68.042, "pop": 62, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Iran", "fertility": 2.124, "life_expect": 69.451, "pop": 66, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Iran", "fertility": 2.04, "life_expect": 70.964, "pop": 68, "region": "Middle East", "year": 2005 }, { "cluster": 5, "country": "Iraq", "fertility": 7.3, "life_expect": 48.437, "pop": 6, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Iraq", "fertility": 7.25, "life_expect": 51.457, "pop": 7, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Iraq", "fertility": 7.2, "life_expect": 54.459, "pop": 8, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Iraq", "fertility": 7.15, "life_expect": 56.95, "pop": 9, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Iraq", "fertility": 6.8, "life_expect": 60.413, "pop": 11, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Iraq", "fertility": 6.35, "life_expect": 62.038, "pop": 13, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Iraq", "fertility": 6.15, "life_expect": 65.044, "pop": 16, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Iraq", "fertility": 5.7, "life_expect": 59.461, "pop": 18, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Iraq", "fertility": 5.37, "life_expect": 58.811, "pop": 20, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Iraq", "fertility": 4.858, "life_expect": 57.046, "pop": 23, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Iraq", "fertility": 4.264, "life_expect": 59.545, "pop": 26, "region": "Middle East", "year": 2005 }, { "cluster": 5, "country": "Israel", "fertility": 3.893, "life_expect": 67.84, "pop": 2, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Israel", "fertility": 3.852, "life_expect": 69.39, "pop": 2, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Israel", "fertility": 3.79, "life_expect": 70.75, "pop": 3, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Israel", "fertility": 3.77, "life_expect": 71.63, "pop": 3, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Israel", "fertility": 3.409, "life_expect": 73.06, "pop": 3, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Israel", "fertility": 3.125, "life_expect": 74.45, "pop": 4, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Israel", "fertility": 3.051, "life_expect": 75.6, "pop": 4, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Israel", "fertility": 2.933, "life_expect": 76.93, "pop": 5, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Israel", "fertility": 2.942, "life_expect": 78.269, "pop": 5, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Israel", "fertility": 2.906, "life_expect": 79.696, "pop": 6, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Israel", "fertility": 2.75, "life_expect": 80.745, "pop": 6, "region": "Middle East", "year": 2005 }, { "cluster": 1, "country": "Italy", "fertility": 2.35, "life_expect": 67.81, "pop": 49, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Italy", "fertility": 2.498, "life_expect": 69.24, "pop": 50, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Italy", "fertility": 2.493, "life_expect": 71.06, "pop": 52, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Italy", "fertility": 2.325, "life_expect": 72.19, "pop": 54, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Italy", "fertility": 1.889, "life_expect": 73.48, "pop": 56, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Italy", "fertility": 1.53, "life_expect": 74.98, "pop": 56, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Italy", "fertility": 1.349, "life_expect": 76.42, "pop": 57, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Italy", "fertility": 1.275, "life_expect": 77.44, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Italy", "fertility": 1.213, "life_expect": 78.82, "pop": 57, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Italy", "fertility": 1.286, "life_expect": 80.24, "pop": 58, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Italy", "fertility": 1.379, "life_expect": 80.546, "pop": 58, "region": "Europe", "year": 2005 }, { "cluster": 4, "country": "Japan", "fertility": 2.08, "life_expect": 65.5, "pop": 90, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Japan", "fertility": 2.02, "life_expect": 68.73, "pop": 94, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Japan", "fertility": 2, "life_expect": 71.43, "pop": 99, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Japan", "fertility": 2.07, "life_expect": 73.42, "pop": 104, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Japan", "fertility": 1.81, "life_expect": 75.38, "pop": 112, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Japan", "fertility": 1.76, "life_expect": 77.11, "pop": 117, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Japan", "fertility": 1.6600000000000001, "life_expect": 78.67, "pop": 121, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Japan", "fertility": 1.49, "life_expect": 79.36, "pop": 124, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Japan", "fertility": 1.3900000000000001, "life_expect": 80.69, "pop": 125, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Japan", "fertility": 1.291, "life_expect": 82, "pop": 127, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Japan", "fertility": 1.27, "life_expect": 82.603, "pop": 127, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 2, "country": "Kenya", "fertility": 7.816, "life_expect": 44.686, "pop": 7, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Kenya", "fertility": 8.12, "life_expect": 47.949, "pop": 8, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Kenya", "fertility": 8.12, "life_expect": 50.654, "pop": 10, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Kenya", "fertility": 8, "life_expect": 53.559, "pop": 11, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Kenya", "fertility": 7.6, "life_expect": 56.155, "pop": 13, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Kenya", "fertility": 7.2, "life_expect": 58.766, "pop": 16, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Kenya", "fertility": 6.5, "life_expect": 59.339, "pop": 20, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Kenya", "fertility": 5.4, "life_expect": 59.285, "pop": 23, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Kenya", "fertility": 5, "life_expect": 54.407, "pop": 27, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Kenya", "fertility": 5, "life_expect": 50.992, "pop": 30, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Kenya", "fertility": 4.959, "life_expect": 54.11, "pop": 34, "region": "Africa", "year": 2005 }, { "cluster": 3, "country": "Mexico", "fertility": 6.8, "life_expect": 55.19, "pop": 33, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Mexico", "fertility": 6.7495, "life_expect": 58.299, "pop": 39, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Mexico", "fertility": 6.7495, "life_expect": 60.11, "pop": 45, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Mexico", "fertility": 6.5, "life_expect": 62.361, "pop": 53, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Mexico", "fertility": 5.2505, "life_expect": 65.032, "pop": 61, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Mexico", "fertility": 4.25, "life_expect": 67.405, "pop": 68, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Mexico", "fertility": 3.6295, "life_expect": 69.498, "pop": 77, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Mexico", "fertility": 3.1905, "life_expect": 71.455, "pop": 85, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Mexico", "fertility": 2.6705, "life_expect": 73.67, "pop": 93, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Mexico", "fertility": 2.4005, "life_expect": 74.902, "pop": 100, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Mexico", "fertility": 2.211, "life_expect": 76.195, "pop": 106, "region": "Americas", "year": 2005 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 37.802, "pop": 35, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 39.36, "pop": 40, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 41.04, "pop": 45, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 42.821, "pop": 51, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 44.514, "pop": 59, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 45.826, "pop": 69, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.834, "life_expect": 46.886, "pop": 78, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.635, "life_expect": 47.472, "pop": 89, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.246, "life_expect": 47.464, "pop": 101, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Nigeria", "fertility": 5.845, "life_expect": 46.608, "pop": 114, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Nigeria", "fertility": 5.322, "life_expect": 46.859, "pop": 129, "region": "Africa", "year": 2005 }, { "cluster": 4, "country": "North Korea", "fertility": 6.332, "life_expect": 52.681, "pop": 22, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "North Korea", "fertility": 5.63, "life_expect": 55.292, "pop": 25, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "North Korea", "fertility": 4.708, "life_expect": 57.716, "pop": 29, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "North Korea", "fertility": 4.281, "life_expect": 62.612, "pop": 32, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "North Korea", "fertility": 2.919, "life_expect": 64.766, "pop": 35, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "North Korea", "fertility": 2.234, "life_expect": 67.123, "pop": 38, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "North Korea", "fertility": 1.601, "life_expect": 69.81, "pop": 41, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "North Korea", "fertility": 1.6960000000000002, "life_expect": 72.244, "pop": 43, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "North Korea", "fertility": 1.514, "life_expect": 74.647, "pop": 45, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "North Korea", "fertility": 1.242, "life_expect": 77.045, "pop": 47, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "North Korea", "fertility": 1.21, "life_expect": 78.623, "pop": 49, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 45.557, "pop": 44, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 47.67, "pop": 50, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 49.8, "pop": 57, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 51.929, "pop": 66, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 54.043, "pop": 75, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 56.158, "pop": 85, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.66, "life_expect": 58.245, "pop": 99, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Pakistan", "fertility": 5.8, "life_expect": 60.838, "pop": 115, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Pakistan", "fertility": 4.9596, "life_expect": 61.818, "pop": 129, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Pakistan", "fertility": 3.9936, "life_expect": 63.61, "pop": 146, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Pakistan", "fertility": 3.5211, "life_expect": 65.483, "pop": 162, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 4, "country": "Philippines", "fertility": 7.13, "life_expect": 51.334, "pop": 25, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Philippines", "fertility": 6.85, "life_expect": 54.757, "pop": 29, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Philippines", "fertility": 6.5, "life_expect": 56.393, "pop": 33, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Philippines", "fertility": 6, "life_expect": 58.065, "pop": 39, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Philippines", "fertility": 5.5, "life_expect": 60.06, "pop": 44, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Philippines", "fertility": 4.95, "life_expect": 62.082, "pop": 51, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Philippines", "fertility": 4.55, "life_expect": 64.151, "pop": 57, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Philippines", "fertility": 4.143, "life_expect": 66.458, "pop": 64, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Philippines", "fertility": 3.7248, "life_expect": 68.564, "pop": 72, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Philippines", "fertility": 3.5436, "life_expect": 70.303, "pop": 80, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Philippines", "fertility": 3.2327, "life_expect": 71.688, "pop": 88, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 2, "country": "Rwanda", "fertility": 8, "life_expect": 41.5, "pop": 3, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.1, "life_expect": 43, "pop": 3, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.2, "life_expect": 44.1, "pop": 3, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.29, "life_expect": 44.6, "pop": 4, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.492, "life_expect": 45, "pop": 4, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.5, "life_expect": 46.218, "pop": 5, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.25, "life_expect": 44.02, "pop": 6, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.9, "life_expect": 23.599, "pop": 7, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.0993, "life_expect": 36.087, "pop": 6, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.01, "life_expect": 43.413, "pop": 8, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Rwanda", "fertility": 5.9169, "life_expect": 46.242, "pop": 8, "region": "Africa", "year": 2005 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.175, "life_expect": 42.868, "pop": 4, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.257, "life_expect": 45.914, "pop": 5, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.257, "life_expect": 49.901, "pop": 5, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.298, "life_expect": 53.886, "pop": 6, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.2780000000000005, "life_expect": 58.69, "pop": 7, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.015, "life_expect": 63.012, "pop": 10, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 6.217, "life_expect": 66.295, "pop": 13, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 5.446, "life_expect": 68.768, "pop": 16, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 4.621, "life_expect": 70.533, "pop": 20, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 3.81, "life_expect": 71.626, "pop": 23, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 3.352, "life_expect": 72.777, "pop": 26, "region": "Middle East", "year": 2005 }, { "cluster": 2, "country": "South Africa", "fertility": 6.5, "life_expect": 47.985, "pop": 15, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "South Africa", "fertility": 6.3, "life_expect": 49.951, "pop": 17, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "South Africa", "fertility": 5.7, "life_expect": 51.927, "pop": 20, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "South Africa", "fertility": 5.47, "life_expect": 53.696, "pop": 23, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "South Africa", "fertility": 5, "life_expect": 55.527, "pop": 26, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "South Africa", "fertility": 4.556, "life_expect": 58.161, "pop": 29, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "South Africa", "fertility": 3.85, "life_expect": 60.834, "pop": 34, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "South Africa", "fertility": 3.343, "life_expect": 61.888, "pop": 38, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "South Africa", "fertility": 2.954, "life_expect": 60.236, "pop": 42, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "South Africa", "fertility": 2.802, "life_expect": 53.365, "pop": 44, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "South Africa", "fertility": 2.637, "life_expect": 49.339, "pop": 44, "region": "Africa", "year": 2005 }, { "cluster": 1, "country": "Turkey", "fertility": 6.6, "life_expect": 48.079, "pop": 24, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Turkey", "fertility": 6.19, "life_expect": 52.098, "pop": 28, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Turkey", "fertility": 5.7, "life_expect": 54.336, "pop": 32, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Turkey", "fertility": 5.3, "life_expect": 57.005, "pop": 36, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Turkey", "fertility": 4.715, "life_expect": 59.507, "pop": 41, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Turkey", "fertility": 4.15, "life_expect": 61.036, "pop": 45, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Turkey", "fertility": 3.276, "life_expect": 63.108, "pop": 51, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Turkey", "fertility": 2.904, "life_expect": 66.146, "pop": 56, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Turkey", "fertility": 2.574, "life_expect": 68.835, "pop": 61, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Turkey", "fertility": 2.23, "life_expect": 70.845, "pop": 66, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Turkey", "fertility": 2.143, "life_expect": 71.777, "pop": 70, "region": "Europe", "year": 2005 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.49, "life_expect": 70.42, "pop": 51, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.81, "life_expect": 70.76, "pop": 52, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.52, "life_expect": 71.36, "pop": 54, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.04, "life_expect": 72.01, "pop": 56, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.72, "life_expect": 72.76, "pop": 56, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.8, "life_expect": 74.04, "pop": 56, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.81, "life_expect": 75.007, "pop": 57, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.78, "life_expect": 76.42, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.7000000000000002, "life_expect": 77.218, "pop": 58, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.695, "life_expect": 78.471, "pop": 60, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.815, "life_expect": 79.425, "pop": 60, "region": "Europe", "year": 2005 }, { "cluster": 3, "country": "United States", "fertility": 3.706, "life_expect": 69.49, "pop": 166, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "United States", "fertility": 3.314, "life_expect": 70.21, "pop": 181, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "United States", "fertility": 2.545, "life_expect": 70.76, "pop": 194, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "United States", "fertility": 2.016, "life_expect": 71.34, "pop": 205, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "United States", "fertility": 1.788, "life_expect": 73.38, "pop": 216, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "United States", "fertility": 1.8250000000000002, "life_expect": 74.65, "pop": 228, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "United States", "fertility": 1.924, "life_expect": 75.02, "pop": 238, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "United States", "fertility": 2.025, "life_expect": 76.09, "pop": 250, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "United States", "fertility": 1.994, "life_expect": 76.81, "pop": 267, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "United States", "fertility": 2.038, "life_expect": 77.31, "pop": 282, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "United States", "fertility": 2.054, "life_expect": 78.242, "pop": 296, "region": "Americas", "year": 2005 } ] }, "encoding": { "color": { "field": "region", "type": "nominal" }, "column": { "field": "year", "type": "quantitative" }, "size": { "field": "pop", "scale": { "range": [ 10, 300 ] }, "type": "quantitative" }, "tooltip": [ { "field": "country", "type": "nominal" }, { "field": "region", "type": "nominal" }, { "field": "pop", "type": "quantitative" }, { "field": "fertility", "type": "quantitative" }, { "field": "life_expect", "type": "quantitative" }, { "field": "year", "type": "quantitative" } ], "x": { "field": "life_expect", "type": "quantitative" }, "y": { "field": "fertility", "type": "quantitative" } }, "mark": "circle" }, "image/png": "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", "text/plain": [ "<VegaLite 3 object>\n", "\n", "If you see this message, it means the renderer has not been properly enabled\n", "for the frontend that you are using. For more information, see\n", "https://altair-viz.github.io/user_guide/troubleshooting.html\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "chart = alt.Chart(\n", " df\n", ").mark_circle(\n", ").encode(\n", " x='life_expect',\n", " y='fertility',\n", " color='region:N',\n", " size=alt.Size('pop', scale=alt.Scale(range=[10, 300])),\n", " tooltip=['country', 'region', 'pop', 'fertility', 'life_expect', 'year'],\n", " column='year', # facet by year\n", ")\n", "\n", "chart.display()" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "application/vnd.vegalite.v3+json": { "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json", "config": { "mark": { "tooltip": null }, "view": { "height": 300, "width": 400 } }, "data": { "name": "data-eb55b3c04935b1d5bce4fa9a8c24136b" }, "datasets": { "data-eb55b3c04935b1d5bce4fa9a8c24136b": [ { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 30.332, "pop": 9, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 31.997, "pop": 10, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 34.02, "pop": 11, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 36.088, "pop": 12, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 38.438, "pop": 14, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.8, "life_expect": 39.854, "pop": 15, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.9, "life_expect": 40.822, "pop": 14, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Afghanistan", "fertility": 8, "life_expect": 41.674, "pop": 15, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Afghanistan", "fertility": 8, "life_expect": 41.763, "pop": 21, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.4792, "life_expect": 42.129, "pop": 24, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.0685, "life_expect": 43.828, "pop": 30, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 3, "country": "Argentina", "fertility": 3.1265, "life_expect": 64.399, "pop": 19, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Argentina", "fertility": 3.0895, "life_expect": 65.142, "pop": 21, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Argentina", "fertility": 3.049, "life_expect": 65.634, "pop": 22, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Argentina", "fertility": 3.1455, "life_expect": 67.065, "pop": 24, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Argentina", "fertility": 3.44, "life_expect": 68.481, "pop": 26, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Argentina", "fertility": 3.15, "life_expect": 69.942, "pop": 28, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Argentina", "fertility": 3.053, "life_expect": 70.774, "pop": 31, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Argentina", "fertility": 2.9, "life_expect": 71.868, "pop": 33, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Argentina", "fertility": 2.63, "life_expect": 73.275, "pop": 35, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Argentina", "fertility": 2.35, "life_expect": 74.34, "pop": 37, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Argentina", "fertility": 2.254, "life_expect": 75.32, "pop": 40, "region": "Americas", "year": 2005 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.76, "life_expect": 39.348, "pop": 50, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.85, "life_expect": 41.216, "pop": 55, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.6, "life_expect": 43.453, "pop": 60, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.15, "life_expect": 45.252, "pop": 67, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Bangladesh", "fertility": 5.6, "life_expect": 46.923, "pop": 76, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Bangladesh", "fertility": 5.25, "life_expect": 50.009, "pop": 88, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Bangladesh", "fertility": 4.629, "life_expect": 52.819, "pop": 100, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Bangladesh", "fertility": 4.117, "life_expect": 56.018, "pop": 110, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Bangladesh", "fertility": 3.5042999999999997, "life_expect": 59.412, "pop": 119, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Bangladesh", "fertility": 3.224, "life_expect": 62.013, "pop": 130, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Bangladesh", "fertility": 2.826, "life_expect": 64.062, "pop": 144, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 3, "country": "Brazil", "fertility": 6.1501, "life_expect": 53.285, "pop": 62, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Brazil", "fertility": 6.1501, "life_expect": 55.665, "pop": 72, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Brazil", "fertility": 5.38, "life_expect": 57.632, "pop": 83, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Brazil", "fertility": 4.7175, "life_expect": 59.504, "pop": 96, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Brazil", "fertility": 4.305, "life_expect": 61.489, "pop": 109, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Brazil", "fertility": 3.8, "life_expect": 63.336, "pop": 123, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Brazil", "fertility": 3.1, "life_expect": 65.205, "pop": 137, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Brazil", "fertility": 2.6, "life_expect": 67.057, "pop": 151, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Brazil", "fertility": 2.45, "life_expect": 69.388, "pop": 164, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Brazil", "fertility": 2.345, "life_expect": 71.006, "pop": 176, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Brazil", "fertility": 2.245, "life_expect": 72.39, "pop": 186, "region": "Americas", "year": 2005 }, { "cluster": 4, "country": "China", "fertility": 5.59, "life_expect": 50.54896, "pop": 609, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "China", "fertility": 5.72, "life_expect": 44.50136, "pop": 667, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "China", "fertility": 6.06, "life_expect": 58.38112, "pop": 715, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "China", "fertility": 4.86, "life_expect": 63.11888, "pop": 818, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "China", "fertility": 3.32, "life_expect": 63.96736, "pop": 916, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "China", "fertility": 2.55, "life_expect": 65.525, "pop": 981, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "China", "fertility": 2.46, "life_expect": 67.274, "pop": 1051, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "China", "fertility": 1.92, "life_expect": 68.69, "pop": 1135, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "China", "fertility": 1.7810000000000001, "life_expect": 70.426, "pop": 1205, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "China", "fertility": 1.7000000000000002, "life_expect": 72.028, "pop": 1263, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "China", "fertility": 1.725, "life_expect": 72.961, "pop": 1303, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 3, "country": "Colombia", "fertility": 6.76, "life_expect": 55.118, "pop": 14, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Colombia", "fertility": 6.76, "life_expect": 57.863, "pop": 16, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Colombia", "fertility": 6.18, "life_expect": 59.963, "pop": 19, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Colombia", "fertility": 5.0005, "life_expect": 61.623, "pop": 21, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Colombia", "fertility": 4.3385, "life_expect": 63.837, "pop": 24, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Colombia", "fertility": 3.685, "life_expect": 66.653, "pop": 27, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Colombia", "fertility": 3.172, "life_expect": 67.768, "pop": 30, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Colombia", "fertility": 2.93005, "life_expect": 68.421, "pop": 33, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Colombia", "fertility": 2.7, "life_expect": 70.313, "pop": 36, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Colombia", "fertility": 2.4705, "life_expect": 71.682, "pop": 40, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Colombia", "fertility": 2.2205, "life_expect": 72.889, "pop": 43, "region": "Americas", "year": 2005 }, { "cluster": 5, "country": "Egypt", "fertility": 6.97, "life_expect": 44.444, "pop": 24, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Egypt", "fertility": 7.073, "life_expect": 46.992, "pop": 27, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Egypt", "fertility": 6.5600000000000005, "life_expect": 49.293, "pop": 30, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Egypt", "fertility": 5.855, "life_expect": 51.137, "pop": 34, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Egypt", "fertility": 5.609, "life_expect": 53.319, "pop": 37, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Egypt", "fertility": 5.332, "life_expect": 56.006, "pop": 43, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Egypt", "fertility": 4.833, "life_expect": 59.797, "pop": 50, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Egypt", "fertility": 3.908, "life_expect": 63.674, "pop": 57, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Egypt", "fertility": 3.5, "life_expect": 67.217, "pop": 63, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Egypt", "fertility": 3.174, "life_expect": 69.806, "pop": 70, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Egypt", "fertility": 2.891, "life_expect": 71.338, "pop": 78, "region": "Middle East", "year": 2005 }, { "cluster": 1, "country": "France", "fertility": 2.7119999999999997, "life_expect": 68.93, "pop": 43, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "France", "fertility": 2.85, "life_expect": 70.51, "pop": 46, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "France", "fertility": 2.607, "life_expect": 71.55, "pop": 49, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "France", "fertility": 2.31, "life_expect": 72.38, "pop": 51, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "France", "fertility": 1.862, "life_expect": 73.83, "pop": 53, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "France", "fertility": 1.866, "life_expect": 74.89, "pop": 54, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "France", "fertility": 1.8050000000000002, "life_expect": 76.34, "pop": 55, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "France", "fertility": 1.713, "life_expect": 77.46, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "France", "fertility": 1.7624, "life_expect": 78.64, "pop": 58, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "France", "fertility": 1.8833000000000002, "life_expect": 79.59, "pop": 59, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "France", "fertility": 1.8916, "life_expect": 80.657, "pop": 61, "region": "Europe", "year": 2005 }, { "cluster": 1, "country": "Germany", "fertility": 2.3, "life_expect": 69.1, "pop": 70, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Germany", "fertility": 2.49, "life_expect": 70.3, "pop": 72, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Germany", "fertility": 2.32, "life_expect": 70.8, "pop": 76, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Germany", "fertility": 1.6400000000000001, "life_expect": 71, "pop": 78, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Germany", "fertility": 1.52, "life_expect": 72.5, "pop": 79, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Germany", "fertility": 1.46, "life_expect": 73.8, "pop": 78, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Germany", "fertility": 1.43, "life_expect": 74.847, "pop": 78, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Germany", "fertility": 1.31, "life_expect": 76.07, "pop": 79, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Germany", "fertility": 1.34, "life_expect": 77.34, "pop": 82, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Germany", "fertility": 1.346, "life_expect": 78.67, "pop": 82, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Germany", "fertility": 1.3599999999999999, "life_expect": 79.406, "pop": 82, "region": "Europe", "year": 2005 }, { "cluster": 0, "country": "India", "fertility": 5.8961, "life_expect": 40.249, "pop": 393, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "India", "fertility": 5.8216, "life_expect": 43.605, "pop": 434, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "India", "fertility": 5.6058, "life_expect": 47.193, "pop": 485, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "India", "fertility": 5.264, "life_expect": 50.651, "pop": 541, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "India", "fertility": 4.8888, "life_expect": 54.208, "pop": 607, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "India", "fertility": 4.4975, "life_expect": 56.596, "pop": 679, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "India", "fertility": 4.15, "life_expect": 58.553, "pop": 755, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "India", "fertility": 3.8648, "life_expect": 60.223, "pop": 839, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "India", "fertility": 3.4551, "life_expect": 61.765, "pop": 927, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "India", "fertility": 3.1132, "life_expect": 62.879, "pop": 1008, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "India", "fertility": 2.8073, "life_expect": 64.698, "pop": 1080, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.672, "life_expect": 39.918, "pop": 87, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.62, "life_expect": 42.518, "pop": 95, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.568, "life_expect": 45.964, "pop": 105, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.3, "life_expect": 49.203, "pop": 116, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Indonesia", "fertility": 4.73, "life_expect": 52.702, "pop": 130, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Indonesia", "fertility": 4.109, "life_expect": 56.159, "pop": 147, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Indonesia", "fertility": 3.4, "life_expect": 60.137, "pop": 163, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.9, "life_expect": 62.681, "pop": 178, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.55, "life_expect": 66.041, "pop": 195, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.3761, "life_expect": 68.588, "pop": 206, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.182, "life_expect": 70.65, "pop": 218, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 5, "country": "Iran", "fertility": 7, "life_expect": 47.181, "pop": 19, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Iran", "fertility": 7, "life_expect": 49.325, "pop": 22, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Iran", "fertility": 6.8, "life_expect": 52.469, "pop": 25, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Iran", "fertility": 6.4, "life_expect": 55.234, "pop": 29, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Iran", "fertility": 6.5, "life_expect": 57.702, "pop": 33, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Iran", "fertility": 6.63, "life_expect": 59.62, "pop": 40, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Iran", "fertility": 5.62, "life_expect": 63.04, "pop": 48, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Iran", "fertility": 4.328, "life_expect": 65.742, "pop": 57, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Iran", "fertility": 2.534, "life_expect": 68.042, "pop": 62, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Iran", "fertility": 2.124, "life_expect": 69.451, "pop": 66, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Iran", "fertility": 2.04, "life_expect": 70.964, "pop": 68, "region": "Middle East", "year": 2005 }, { "cluster": 5, "country": "Iraq", "fertility": 7.3, "life_expect": 48.437, "pop": 6, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Iraq", "fertility": 7.25, "life_expect": 51.457, "pop": 7, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Iraq", "fertility": 7.2, "life_expect": 54.459, "pop": 8, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Iraq", "fertility": 7.15, "life_expect": 56.95, "pop": 9, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Iraq", "fertility": 6.8, "life_expect": 60.413, "pop": 11, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Iraq", "fertility": 6.35, "life_expect": 62.038, "pop": 13, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Iraq", "fertility": 6.15, "life_expect": 65.044, "pop": 16, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Iraq", "fertility": 5.7, "life_expect": 59.461, "pop": 18, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Iraq", "fertility": 5.37, "life_expect": 58.811, "pop": 20, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Iraq", "fertility": 4.858, "life_expect": 57.046, "pop": 23, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Iraq", "fertility": 4.264, "life_expect": 59.545, "pop": 26, "region": "Middle East", "year": 2005 }, { "cluster": 5, "country": "Israel", "fertility": 3.893, "life_expect": 67.84, "pop": 2, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Israel", "fertility": 3.852, "life_expect": 69.39, "pop": 2, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Israel", "fertility": 3.79, "life_expect": 70.75, "pop": 3, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Israel", "fertility": 3.77, "life_expect": 71.63, "pop": 3, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Israel", "fertility": 3.409, "life_expect": 73.06, "pop": 3, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Israel", "fertility": 3.125, "life_expect": 74.45, "pop": 4, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Israel", "fertility": 3.051, "life_expect": 75.6, "pop": 4, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Israel", "fertility": 2.933, "life_expect": 76.93, "pop": 5, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Israel", "fertility": 2.942, "life_expect": 78.269, "pop": 5, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Israel", "fertility": 2.906, "life_expect": 79.696, "pop": 6, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Israel", "fertility": 2.75, "life_expect": 80.745, "pop": 6, "region": "Middle East", "year": 2005 }, { "cluster": 1, "country": "Italy", "fertility": 2.35, "life_expect": 67.81, "pop": 49, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Italy", "fertility": 2.498, "life_expect": 69.24, "pop": 50, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Italy", "fertility": 2.493, "life_expect": 71.06, "pop": 52, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Italy", "fertility": 2.325, "life_expect": 72.19, "pop": 54, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Italy", "fertility": 1.889, "life_expect": 73.48, "pop": 56, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Italy", "fertility": 1.53, "life_expect": 74.98, "pop": 56, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Italy", "fertility": 1.349, "life_expect": 76.42, "pop": 57, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Italy", "fertility": 1.275, "life_expect": 77.44, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Italy", "fertility": 1.213, "life_expect": 78.82, "pop": 57, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Italy", "fertility": 1.286, "life_expect": 80.24, "pop": 58, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Italy", "fertility": 1.379, "life_expect": 80.546, "pop": 58, "region": "Europe", "year": 2005 }, { "cluster": 4, "country": "Japan", "fertility": 2.08, "life_expect": 65.5, "pop": 90, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Japan", "fertility": 2.02, "life_expect": 68.73, "pop": 94, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Japan", "fertility": 2, "life_expect": 71.43, "pop": 99, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Japan", "fertility": 2.07, "life_expect": 73.42, "pop": 104, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Japan", "fertility": 1.81, "life_expect": 75.38, "pop": 112, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Japan", "fertility": 1.76, "life_expect": 77.11, "pop": 117, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Japan", "fertility": 1.6600000000000001, "life_expect": 78.67, "pop": 121, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Japan", "fertility": 1.49, "life_expect": 79.36, "pop": 124, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Japan", "fertility": 1.3900000000000001, "life_expect": 80.69, "pop": 125, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Japan", "fertility": 1.291, "life_expect": 82, "pop": 127, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Japan", "fertility": 1.27, "life_expect": 82.603, "pop": 127, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 2, "country": "Kenya", "fertility": 7.816, "life_expect": 44.686, "pop": 7, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Kenya", "fertility": 8.12, "life_expect": 47.949, "pop": 8, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Kenya", "fertility": 8.12, "life_expect": 50.654, "pop": 10, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Kenya", "fertility": 8, "life_expect": 53.559, "pop": 11, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Kenya", "fertility": 7.6, "life_expect": 56.155, "pop": 13, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Kenya", "fertility": 7.2, "life_expect": 58.766, "pop": 16, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Kenya", "fertility": 6.5, "life_expect": 59.339, "pop": 20, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Kenya", "fertility": 5.4, "life_expect": 59.285, "pop": 23, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Kenya", "fertility": 5, "life_expect": 54.407, "pop": 27, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Kenya", "fertility": 5, "life_expect": 50.992, "pop": 30, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Kenya", "fertility": 4.959, "life_expect": 54.11, "pop": 34, "region": "Africa", "year": 2005 }, { "cluster": 3, "country": "Mexico", "fertility": 6.8, "life_expect": 55.19, "pop": 33, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Mexico", "fertility": 6.7495, "life_expect": 58.299, "pop": 39, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Mexico", "fertility": 6.7495, "life_expect": 60.11, "pop": 45, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Mexico", "fertility": 6.5, "life_expect": 62.361, "pop": 53, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Mexico", "fertility": 5.2505, "life_expect": 65.032, "pop": 61, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Mexico", "fertility": 4.25, "life_expect": 67.405, "pop": 68, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Mexico", "fertility": 3.6295, "life_expect": 69.498, "pop": 77, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Mexico", "fertility": 3.1905, "life_expect": 71.455, "pop": 85, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Mexico", "fertility": 2.6705, "life_expect": 73.67, "pop": 93, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Mexico", "fertility": 2.4005, "life_expect": 74.902, "pop": 100, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Mexico", "fertility": 2.211, "life_expect": 76.195, "pop": 106, "region": "Americas", "year": 2005 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 37.802, "pop": 35, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 39.36, "pop": 40, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 41.04, "pop": 45, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 42.821, "pop": 51, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 44.514, "pop": 59, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 45.826, "pop": 69, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.834, "life_expect": 46.886, "pop": 78, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.635, "life_expect": 47.472, "pop": 89, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.246, "life_expect": 47.464, "pop": 101, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Nigeria", "fertility": 5.845, "life_expect": 46.608, "pop": 114, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Nigeria", "fertility": 5.322, "life_expect": 46.859, "pop": 129, "region": "Africa", "year": 2005 }, { "cluster": 4, "country": "North Korea", "fertility": 6.332, "life_expect": 52.681, "pop": 22, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "North Korea", "fertility": 5.63, "life_expect": 55.292, "pop": 25, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "North Korea", "fertility": 4.708, "life_expect": 57.716, "pop": 29, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "North Korea", "fertility": 4.281, "life_expect": 62.612, "pop": 32, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "North Korea", "fertility": 2.919, "life_expect": 64.766, "pop": 35, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "North Korea", "fertility": 2.234, "life_expect": 67.123, "pop": 38, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "North Korea", "fertility": 1.601, "life_expect": 69.81, "pop": 41, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "North Korea", "fertility": 1.6960000000000002, "life_expect": 72.244, "pop": 43, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "North Korea", "fertility": 1.514, "life_expect": 74.647, "pop": 45, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "North Korea", "fertility": 1.242, "life_expect": 77.045, "pop": 47, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "North Korea", "fertility": 1.21, "life_expect": 78.623, "pop": 49, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 45.557, "pop": 44, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 47.67, "pop": 50, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 49.8, "pop": 57, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 51.929, "pop": 66, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 54.043, "pop": 75, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 56.158, "pop": 85, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.66, "life_expect": 58.245, "pop": 99, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Pakistan", "fertility": 5.8, "life_expect": 60.838, "pop": 115, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Pakistan", "fertility": 4.9596, "life_expect": 61.818, "pop": 129, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Pakistan", "fertility": 3.9936, "life_expect": 63.61, "pop": 146, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Pakistan", "fertility": 3.5211, "life_expect": 65.483, "pop": 162, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 4, "country": "Philippines", "fertility": 7.13, "life_expect": 51.334, "pop": 25, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Philippines", "fertility": 6.85, "life_expect": 54.757, "pop": 29, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Philippines", "fertility": 6.5, "life_expect": 56.393, "pop": 33, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Philippines", "fertility": 6, "life_expect": 58.065, "pop": 39, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Philippines", "fertility": 5.5, "life_expect": 60.06, "pop": 44, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Philippines", "fertility": 4.95, "life_expect": 62.082, "pop": 51, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Philippines", "fertility": 4.55, "life_expect": 64.151, "pop": 57, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Philippines", "fertility": 4.143, "life_expect": 66.458, "pop": 64, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Philippines", "fertility": 3.7248, "life_expect": 68.564, "pop": 72, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Philippines", "fertility": 3.5436, "life_expect": 70.303, "pop": 80, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Philippines", "fertility": 3.2327, "life_expect": 71.688, "pop": 88, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 2, "country": "Rwanda", "fertility": 8, "life_expect": 41.5, "pop": 3, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.1, "life_expect": 43, "pop": 3, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.2, "life_expect": 44.1, "pop": 3, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.29, "life_expect": 44.6, "pop": 4, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.492, "life_expect": 45, "pop": 4, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.5, "life_expect": 46.218, "pop": 5, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.25, "life_expect": 44.02, "pop": 6, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.9, "life_expect": 23.599, "pop": 7, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.0993, "life_expect": 36.087, "pop": 6, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.01, "life_expect": 43.413, "pop": 8, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Rwanda", "fertility": 5.9169, "life_expect": 46.242, "pop": 8, "region": "Africa", "year": 2005 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.175, "life_expect": 42.868, "pop": 4, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.257, "life_expect": 45.914, "pop": 5, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.257, "life_expect": 49.901, "pop": 5, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.298, "life_expect": 53.886, "pop": 6, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.2780000000000005, "life_expect": 58.69, "pop": 7, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.015, "life_expect": 63.012, "pop": 10, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 6.217, "life_expect": 66.295, "pop": 13, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 5.446, "life_expect": 68.768, "pop": 16, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 4.621, "life_expect": 70.533, "pop": 20, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 3.81, "life_expect": 71.626, "pop": 23, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 3.352, "life_expect": 72.777, "pop": 26, "region": "Middle East", "year": 2005 }, { "cluster": 2, "country": "South Africa", "fertility": 6.5, "life_expect": 47.985, "pop": 15, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "South Africa", "fertility": 6.3, "life_expect": 49.951, "pop": 17, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "South Africa", "fertility": 5.7, "life_expect": 51.927, "pop": 20, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "South Africa", "fertility": 5.47, "life_expect": 53.696, "pop": 23, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "South Africa", "fertility": 5, "life_expect": 55.527, "pop": 26, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "South Africa", "fertility": 4.556, "life_expect": 58.161, "pop": 29, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "South Africa", "fertility": 3.85, "life_expect": 60.834, "pop": 34, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "South Africa", "fertility": 3.343, "life_expect": 61.888, "pop": 38, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "South Africa", "fertility": 2.954, "life_expect": 60.236, "pop": 42, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "South Africa", "fertility": 2.802, "life_expect": 53.365, "pop": 44, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "South Africa", "fertility": 2.637, "life_expect": 49.339, "pop": 44, "region": "Africa", "year": 2005 }, { "cluster": 1, "country": "Turkey", "fertility": 6.6, "life_expect": 48.079, "pop": 24, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Turkey", "fertility": 6.19, "life_expect": 52.098, "pop": 28, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Turkey", "fertility": 5.7, "life_expect": 54.336, "pop": 32, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Turkey", "fertility": 5.3, "life_expect": 57.005, "pop": 36, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Turkey", "fertility": 4.715, "life_expect": 59.507, "pop": 41, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Turkey", "fertility": 4.15, "life_expect": 61.036, "pop": 45, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Turkey", "fertility": 3.276, "life_expect": 63.108, "pop": 51, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Turkey", "fertility": 2.904, "life_expect": 66.146, "pop": 56, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Turkey", "fertility": 2.574, "life_expect": 68.835, "pop": 61, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Turkey", "fertility": 2.23, "life_expect": 70.845, "pop": 66, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Turkey", "fertility": 2.143, "life_expect": 71.777, "pop": 70, "region": "Europe", "year": 2005 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.49, "life_expect": 70.42, "pop": 51, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.81, "life_expect": 70.76, "pop": 52, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.52, "life_expect": 71.36, "pop": 54, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.04, "life_expect": 72.01, "pop": 56, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.72, "life_expect": 72.76, "pop": 56, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.8, "life_expect": 74.04, "pop": 56, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.81, "life_expect": 75.007, "pop": 57, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.78, "life_expect": 76.42, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.7000000000000002, "life_expect": 77.218, "pop": 58, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.695, "life_expect": 78.471, "pop": 60, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.815, "life_expect": 79.425, "pop": 60, "region": "Europe", "year": 2005 }, { "cluster": 3, "country": "United States", "fertility": 3.706, "life_expect": 69.49, "pop": 166, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "United States", "fertility": 3.314, "life_expect": 70.21, "pop": 181, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "United States", "fertility": 2.545, "life_expect": 70.76, "pop": 194, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "United States", "fertility": 2.016, "life_expect": 71.34, "pop": 205, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "United States", "fertility": 1.788, "life_expect": 73.38, "pop": 216, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "United States", "fertility": 1.8250000000000002, "life_expect": 74.65, "pop": 228, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "United States", "fertility": 1.924, "life_expect": 75.02, "pop": 238, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "United States", "fertility": 2.025, "life_expect": 76.09, "pop": 250, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "United States", "fertility": 1.994, "life_expect": 76.81, "pop": 267, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "United States", "fertility": 2.038, "life_expect": 77.31, "pop": 282, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "United States", "fertility": 2.054, "life_expect": 78.242, "pop": 296, "region": "Americas", "year": 2005 } ] }, "encoding": { "color": { "field": "region", "type": "nominal" }, "column": { "field": "year", "type": "quantitative" }, "size": { "field": "pop", "scale": { "range": [ 10, 300 ] }, "type": "quantitative" }, "tooltip": [ { "field": "country", "type": "nominal" }, { "field": "region", "type": "nominal" }, { "field": "pop", "type": "quantitative" }, { "field": "fertility", "type": "quantitative" }, { "field": "life_expect", "type": "quantitative" }, { "field": "year", "type": "quantitative" } ], "x": { "field": "life_expect", "type": "quantitative" }, "y": { "field": "fertility", "type": "quantitative" } }, "mark": "circle", "transform": [ { "filter": "((datum.year === 1960) || (datum.year === 2000))" } ] }, "image/png": "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", "text/plain": [ "<VegaLite 3 object>\n", "\n", "If you see this message, it means the renderer has not been properly enabled\n", "for the frontend that you are using. For more information, see\n", "https://altair-viz.github.io/user_guide/troubleshooting.html\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "chart = alt.Chart(\n", " df\n", ").mark_circle(\n", ").encode(\n", " x='life_expect',\n", " y='fertility',\n", " color='region:N',\n", " size=alt.Size('pop', scale=alt.Scale(range=[10, 300])),\n", " tooltip=['country', 'region', 'pop', 'fertility', 'life_expect', 'year'],\n", " column='year' # facet by year\n", ").transform_filter(\n", " (alt.datum.year == 1960) | (alt.datum.year == 2000) # filter for two years only\n", ")\n", "\n", "chart.display()" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "application/vnd.vegalite.v3+json": { "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json", "config": { "mark": { "tooltip": null }, "view": { "height": 300, "width": 400 } }, "data": { "name": "data-eb55b3c04935b1d5bce4fa9a8c24136b" }, "datasets": { "data-eb55b3c04935b1d5bce4fa9a8c24136b": [ { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 30.332, "pop": 9, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 31.997, "pop": 10, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 34.02, "pop": 11, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 36.088, "pop": 12, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 38.438, "pop": 14, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.8, "life_expect": 39.854, "pop": 15, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.9, "life_expect": 40.822, "pop": 14, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Afghanistan", "fertility": 8, "life_expect": 41.674, "pop": 15, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Afghanistan", "fertility": 8, "life_expect": 41.763, "pop": 21, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.4792, "life_expect": 42.129, "pop": 24, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.0685, "life_expect": 43.828, "pop": 30, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 3, "country": "Argentina", "fertility": 3.1265, "life_expect": 64.399, "pop": 19, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Argentina", "fertility": 3.0895, "life_expect": 65.142, "pop": 21, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Argentina", "fertility": 3.049, "life_expect": 65.634, "pop": 22, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Argentina", "fertility": 3.1455, "life_expect": 67.065, "pop": 24, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Argentina", "fertility": 3.44, "life_expect": 68.481, "pop": 26, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Argentina", "fertility": 3.15, "life_expect": 69.942, "pop": 28, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Argentina", "fertility": 3.053, "life_expect": 70.774, "pop": 31, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Argentina", "fertility": 2.9, "life_expect": 71.868, "pop": 33, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Argentina", "fertility": 2.63, "life_expect": 73.275, "pop": 35, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Argentina", "fertility": 2.35, "life_expect": 74.34, "pop": 37, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Argentina", "fertility": 2.254, "life_expect": 75.32, "pop": 40, "region": "Americas", "year": 2005 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.76, "life_expect": 39.348, "pop": 50, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.85, "life_expect": 41.216, "pop": 55, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.6, "life_expect": 43.453, "pop": 60, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.15, "life_expect": 45.252, "pop": 67, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Bangladesh", "fertility": 5.6, "life_expect": 46.923, "pop": 76, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Bangladesh", "fertility": 5.25, "life_expect": 50.009, "pop": 88, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Bangladesh", "fertility": 4.629, "life_expect": 52.819, "pop": 100, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Bangladesh", "fertility": 4.117, "life_expect": 56.018, "pop": 110, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Bangladesh", "fertility": 3.5042999999999997, "life_expect": 59.412, "pop": 119, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Bangladesh", "fertility": 3.224, "life_expect": 62.013, "pop": 130, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Bangladesh", "fertility": 2.826, "life_expect": 64.062, "pop": 144, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 3, "country": "Brazil", "fertility": 6.1501, "life_expect": 53.285, "pop": 62, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Brazil", "fertility": 6.1501, "life_expect": 55.665, "pop": 72, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Brazil", "fertility": 5.38, "life_expect": 57.632, "pop": 83, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Brazil", "fertility": 4.7175, "life_expect": 59.504, "pop": 96, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Brazil", "fertility": 4.305, "life_expect": 61.489, "pop": 109, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Brazil", "fertility": 3.8, "life_expect": 63.336, "pop": 123, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Brazil", "fertility": 3.1, "life_expect": 65.205, "pop": 137, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Brazil", "fertility": 2.6, "life_expect": 67.057, "pop": 151, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Brazil", "fertility": 2.45, "life_expect": 69.388, "pop": 164, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Brazil", "fertility": 2.345, "life_expect": 71.006, "pop": 176, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Brazil", "fertility": 2.245, "life_expect": 72.39, "pop": 186, "region": "Americas", "year": 2005 }, { "cluster": 4, "country": "China", "fertility": 5.59, "life_expect": 50.54896, "pop": 609, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "China", "fertility": 5.72, "life_expect": 44.50136, "pop": 667, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "China", "fertility": 6.06, "life_expect": 58.38112, "pop": 715, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "China", "fertility": 4.86, "life_expect": 63.11888, "pop": 818, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "China", "fertility": 3.32, "life_expect": 63.96736, "pop": 916, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "China", "fertility": 2.55, "life_expect": 65.525, "pop": 981, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "China", "fertility": 2.46, "life_expect": 67.274, "pop": 1051, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "China", "fertility": 1.92, "life_expect": 68.69, "pop": 1135, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "China", "fertility": 1.7810000000000001, "life_expect": 70.426, "pop": 1205, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "China", "fertility": 1.7000000000000002, "life_expect": 72.028, "pop": 1263, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "China", "fertility": 1.725, "life_expect": 72.961, "pop": 1303, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 3, "country": "Colombia", "fertility": 6.76, "life_expect": 55.118, "pop": 14, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Colombia", "fertility": 6.76, "life_expect": 57.863, "pop": 16, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Colombia", "fertility": 6.18, "life_expect": 59.963, "pop": 19, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Colombia", "fertility": 5.0005, "life_expect": 61.623, "pop": 21, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Colombia", "fertility": 4.3385, "life_expect": 63.837, "pop": 24, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Colombia", "fertility": 3.685, "life_expect": 66.653, "pop": 27, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Colombia", "fertility": 3.172, "life_expect": 67.768, "pop": 30, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Colombia", "fertility": 2.93005, "life_expect": 68.421, "pop": 33, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Colombia", "fertility": 2.7, "life_expect": 70.313, "pop": 36, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Colombia", "fertility": 2.4705, "life_expect": 71.682, "pop": 40, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Colombia", "fertility": 2.2205, "life_expect": 72.889, "pop": 43, "region": "Americas", "year": 2005 }, { "cluster": 5, "country": "Egypt", "fertility": 6.97, "life_expect": 44.444, "pop": 24, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Egypt", "fertility": 7.073, "life_expect": 46.992, "pop": 27, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Egypt", "fertility": 6.5600000000000005, "life_expect": 49.293, "pop": 30, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Egypt", "fertility": 5.855, "life_expect": 51.137, "pop": 34, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Egypt", "fertility": 5.609, "life_expect": 53.319, "pop": 37, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Egypt", "fertility": 5.332, "life_expect": 56.006, "pop": 43, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Egypt", "fertility": 4.833, "life_expect": 59.797, "pop": 50, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Egypt", "fertility": 3.908, "life_expect": 63.674, "pop": 57, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Egypt", "fertility": 3.5, "life_expect": 67.217, "pop": 63, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Egypt", "fertility": 3.174, "life_expect": 69.806, "pop": 70, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Egypt", "fertility": 2.891, "life_expect": 71.338, "pop": 78, "region": "Middle East", "year": 2005 }, { "cluster": 1, "country": "France", "fertility": 2.7119999999999997, "life_expect": 68.93, "pop": 43, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "France", "fertility": 2.85, "life_expect": 70.51, "pop": 46, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "France", "fertility": 2.607, "life_expect": 71.55, "pop": 49, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "France", "fertility": 2.31, "life_expect": 72.38, "pop": 51, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "France", "fertility": 1.862, "life_expect": 73.83, "pop": 53, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "France", "fertility": 1.866, "life_expect": 74.89, "pop": 54, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "France", "fertility": 1.8050000000000002, "life_expect": 76.34, "pop": 55, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "France", "fertility": 1.713, "life_expect": 77.46, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "France", "fertility": 1.7624, "life_expect": 78.64, "pop": 58, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "France", "fertility": 1.8833000000000002, "life_expect": 79.59, "pop": 59, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "France", "fertility": 1.8916, "life_expect": 80.657, "pop": 61, "region": "Europe", "year": 2005 }, { "cluster": 1, "country": "Germany", "fertility": 2.3, "life_expect": 69.1, "pop": 70, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Germany", "fertility": 2.49, "life_expect": 70.3, "pop": 72, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Germany", "fertility": 2.32, "life_expect": 70.8, "pop": 76, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Germany", "fertility": 1.6400000000000001, "life_expect": 71, "pop": 78, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Germany", "fertility": 1.52, "life_expect": 72.5, "pop": 79, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Germany", "fertility": 1.46, "life_expect": 73.8, "pop": 78, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Germany", "fertility": 1.43, "life_expect": 74.847, "pop": 78, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Germany", "fertility": 1.31, "life_expect": 76.07, "pop": 79, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Germany", "fertility": 1.34, "life_expect": 77.34, "pop": 82, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Germany", "fertility": 1.346, "life_expect": 78.67, "pop": 82, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Germany", "fertility": 1.3599999999999999, "life_expect": 79.406, "pop": 82, "region": "Europe", "year": 2005 }, { "cluster": 0, "country": "India", "fertility": 5.8961, "life_expect": 40.249, "pop": 393, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "India", "fertility": 5.8216, "life_expect": 43.605, "pop": 434, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "India", "fertility": 5.6058, "life_expect": 47.193, "pop": 485, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "India", "fertility": 5.264, "life_expect": 50.651, "pop": 541, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "India", "fertility": 4.8888, "life_expect": 54.208, "pop": 607, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "India", "fertility": 4.4975, "life_expect": 56.596, "pop": 679, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "India", "fertility": 4.15, "life_expect": 58.553, "pop": 755, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "India", "fertility": 3.8648, "life_expect": 60.223, "pop": 839, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "India", "fertility": 3.4551, "life_expect": 61.765, "pop": 927, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "India", "fertility": 3.1132, "life_expect": 62.879, "pop": 1008, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "India", "fertility": 2.8073, "life_expect": 64.698, "pop": 1080, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.672, "life_expect": 39.918, "pop": 87, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.62, "life_expect": 42.518, "pop": 95, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.568, "life_expect": 45.964, "pop": 105, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.3, "life_expect": 49.203, "pop": 116, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Indonesia", "fertility": 4.73, "life_expect": 52.702, "pop": 130, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Indonesia", "fertility": 4.109, "life_expect": 56.159, "pop": 147, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Indonesia", "fertility": 3.4, "life_expect": 60.137, "pop": 163, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.9, "life_expect": 62.681, "pop": 178, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.55, "life_expect": 66.041, "pop": 195, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.3761, "life_expect": 68.588, "pop": 206, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.182, "life_expect": 70.65, "pop": 218, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 5, "country": "Iran", "fertility": 7, "life_expect": 47.181, "pop": 19, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Iran", "fertility": 7, "life_expect": 49.325, "pop": 22, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Iran", "fertility": 6.8, "life_expect": 52.469, "pop": 25, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Iran", "fertility": 6.4, "life_expect": 55.234, "pop": 29, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Iran", "fertility": 6.5, "life_expect": 57.702, "pop": 33, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Iran", "fertility": 6.63, "life_expect": 59.62, "pop": 40, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Iran", "fertility": 5.62, "life_expect": 63.04, "pop": 48, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Iran", "fertility": 4.328, "life_expect": 65.742, "pop": 57, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Iran", "fertility": 2.534, "life_expect": 68.042, "pop": 62, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Iran", "fertility": 2.124, "life_expect": 69.451, "pop": 66, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Iran", "fertility": 2.04, "life_expect": 70.964, "pop": 68, "region": "Middle East", "year": 2005 }, { "cluster": 5, "country": "Iraq", "fertility": 7.3, "life_expect": 48.437, "pop": 6, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Iraq", "fertility": 7.25, "life_expect": 51.457, "pop": 7, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Iraq", "fertility": 7.2, "life_expect": 54.459, "pop": 8, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Iraq", "fertility": 7.15, "life_expect": 56.95, "pop": 9, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Iraq", "fertility": 6.8, "life_expect": 60.413, "pop": 11, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Iraq", "fertility": 6.35, "life_expect": 62.038, "pop": 13, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Iraq", "fertility": 6.15, "life_expect": 65.044, "pop": 16, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Iraq", "fertility": 5.7, "life_expect": 59.461, "pop": 18, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Iraq", "fertility": 5.37, "life_expect": 58.811, "pop": 20, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Iraq", "fertility": 4.858, "life_expect": 57.046, "pop": 23, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Iraq", "fertility": 4.264, "life_expect": 59.545, "pop": 26, "region": "Middle East", "year": 2005 }, { "cluster": 5, "country": "Israel", "fertility": 3.893, "life_expect": 67.84, "pop": 2, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Israel", "fertility": 3.852, "life_expect": 69.39, "pop": 2, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Israel", "fertility": 3.79, "life_expect": 70.75, "pop": 3, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Israel", "fertility": 3.77, "life_expect": 71.63, "pop": 3, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Israel", "fertility": 3.409, "life_expect": 73.06, "pop": 3, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Israel", "fertility": 3.125, "life_expect": 74.45, "pop": 4, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Israel", "fertility": 3.051, "life_expect": 75.6, "pop": 4, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Israel", "fertility": 2.933, "life_expect": 76.93, "pop": 5, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Israel", "fertility": 2.942, "life_expect": 78.269, "pop": 5, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Israel", "fertility": 2.906, "life_expect": 79.696, "pop": 6, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Israel", "fertility": 2.75, "life_expect": 80.745, "pop": 6, "region": "Middle East", "year": 2005 }, { "cluster": 1, "country": "Italy", "fertility": 2.35, "life_expect": 67.81, "pop": 49, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Italy", "fertility": 2.498, "life_expect": 69.24, "pop": 50, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Italy", "fertility": 2.493, "life_expect": 71.06, "pop": 52, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Italy", "fertility": 2.325, "life_expect": 72.19, "pop": 54, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Italy", "fertility": 1.889, "life_expect": 73.48, "pop": 56, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Italy", "fertility": 1.53, "life_expect": 74.98, "pop": 56, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Italy", "fertility": 1.349, "life_expect": 76.42, "pop": 57, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Italy", "fertility": 1.275, "life_expect": 77.44, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Italy", "fertility": 1.213, "life_expect": 78.82, "pop": 57, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Italy", "fertility": 1.286, "life_expect": 80.24, "pop": 58, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Italy", "fertility": 1.379, "life_expect": 80.546, "pop": 58, "region": "Europe", "year": 2005 }, { "cluster": 4, "country": "Japan", "fertility": 2.08, "life_expect": 65.5, "pop": 90, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Japan", "fertility": 2.02, "life_expect": 68.73, "pop": 94, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Japan", "fertility": 2, "life_expect": 71.43, "pop": 99, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Japan", "fertility": 2.07, "life_expect": 73.42, "pop": 104, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Japan", "fertility": 1.81, "life_expect": 75.38, "pop": 112, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Japan", "fertility": 1.76, "life_expect": 77.11, "pop": 117, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Japan", "fertility": 1.6600000000000001, "life_expect": 78.67, "pop": 121, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Japan", "fertility": 1.49, "life_expect": 79.36, "pop": 124, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Japan", "fertility": 1.3900000000000001, "life_expect": 80.69, "pop": 125, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Japan", "fertility": 1.291, "life_expect": 82, "pop": 127, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Japan", "fertility": 1.27, "life_expect": 82.603, "pop": 127, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 2, "country": "Kenya", "fertility": 7.816, "life_expect": 44.686, "pop": 7, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Kenya", "fertility": 8.12, "life_expect": 47.949, "pop": 8, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Kenya", "fertility": 8.12, "life_expect": 50.654, "pop": 10, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Kenya", "fertility": 8, "life_expect": 53.559, "pop": 11, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Kenya", "fertility": 7.6, "life_expect": 56.155, "pop": 13, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Kenya", "fertility": 7.2, "life_expect": 58.766, "pop": 16, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Kenya", "fertility": 6.5, "life_expect": 59.339, "pop": 20, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Kenya", "fertility": 5.4, "life_expect": 59.285, "pop": 23, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Kenya", "fertility": 5, "life_expect": 54.407, "pop": 27, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Kenya", "fertility": 5, "life_expect": 50.992, "pop": 30, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Kenya", "fertility": 4.959, "life_expect": 54.11, "pop": 34, "region": "Africa", "year": 2005 }, { "cluster": 3, "country": "Mexico", "fertility": 6.8, "life_expect": 55.19, "pop": 33, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Mexico", "fertility": 6.7495, "life_expect": 58.299, "pop": 39, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Mexico", "fertility": 6.7495, "life_expect": 60.11, "pop": 45, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Mexico", "fertility": 6.5, "life_expect": 62.361, "pop": 53, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Mexico", "fertility": 5.2505, "life_expect": 65.032, "pop": 61, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Mexico", "fertility": 4.25, "life_expect": 67.405, "pop": 68, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Mexico", "fertility": 3.6295, "life_expect": 69.498, "pop": 77, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Mexico", "fertility": 3.1905, "life_expect": 71.455, "pop": 85, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Mexico", "fertility": 2.6705, "life_expect": 73.67, "pop": 93, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Mexico", "fertility": 2.4005, "life_expect": 74.902, "pop": 100, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Mexico", "fertility": 2.211, "life_expect": 76.195, "pop": 106, "region": "Americas", "year": 2005 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 37.802, "pop": 35, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 39.36, "pop": 40, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 41.04, "pop": 45, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 42.821, "pop": 51, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 44.514, "pop": 59, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 45.826, "pop": 69, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.834, "life_expect": 46.886, "pop": 78, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.635, "life_expect": 47.472, "pop": 89, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.246, "life_expect": 47.464, "pop": 101, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Nigeria", "fertility": 5.845, "life_expect": 46.608, "pop": 114, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Nigeria", "fertility": 5.322, "life_expect": 46.859, "pop": 129, "region": "Africa", "year": 2005 }, { "cluster": 4, "country": "North Korea", "fertility": 6.332, "life_expect": 52.681, "pop": 22, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "North Korea", "fertility": 5.63, "life_expect": 55.292, "pop": 25, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "North Korea", "fertility": 4.708, "life_expect": 57.716, "pop": 29, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "North Korea", "fertility": 4.281, "life_expect": 62.612, "pop": 32, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "North Korea", "fertility": 2.919, "life_expect": 64.766, "pop": 35, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "North Korea", "fertility": 2.234, "life_expect": 67.123, "pop": 38, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "North Korea", "fertility": 1.601, "life_expect": 69.81, "pop": 41, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "North Korea", "fertility": 1.6960000000000002, "life_expect": 72.244, "pop": 43, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "North Korea", "fertility": 1.514, "life_expect": 74.647, "pop": 45, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "North Korea", "fertility": 1.242, "life_expect": 77.045, "pop": 47, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "North Korea", "fertility": 1.21, "life_expect": 78.623, "pop": 49, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 45.557, "pop": 44, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 47.67, "pop": 50, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 49.8, "pop": 57, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 51.929, "pop": 66, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 54.043, "pop": 75, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 56.158, "pop": 85, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.66, "life_expect": 58.245, "pop": 99, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Pakistan", "fertility": 5.8, "life_expect": 60.838, "pop": 115, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Pakistan", "fertility": 4.9596, "life_expect": 61.818, "pop": 129, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Pakistan", "fertility": 3.9936, "life_expect": 63.61, "pop": 146, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Pakistan", "fertility": 3.5211, "life_expect": 65.483, "pop": 162, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 4, "country": "Philippines", "fertility": 7.13, "life_expect": 51.334, "pop": 25, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Philippines", "fertility": 6.85, "life_expect": 54.757, "pop": 29, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Philippines", "fertility": 6.5, "life_expect": 56.393, "pop": 33, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Philippines", "fertility": 6, "life_expect": 58.065, "pop": 39, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Philippines", "fertility": 5.5, "life_expect": 60.06, "pop": 44, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Philippines", "fertility": 4.95, "life_expect": 62.082, "pop": 51, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Philippines", "fertility": 4.55, "life_expect": 64.151, "pop": 57, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Philippines", "fertility": 4.143, "life_expect": 66.458, "pop": 64, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Philippines", "fertility": 3.7248, "life_expect": 68.564, "pop": 72, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Philippines", "fertility": 3.5436, "life_expect": 70.303, "pop": 80, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Philippines", "fertility": 3.2327, "life_expect": 71.688, "pop": 88, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 2, "country": "Rwanda", "fertility": 8, "life_expect": 41.5, "pop": 3, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.1, "life_expect": 43, "pop": 3, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.2, "life_expect": 44.1, "pop": 3, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.29, "life_expect": 44.6, "pop": 4, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.492, "life_expect": 45, "pop": 4, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.5, "life_expect": 46.218, "pop": 5, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.25, "life_expect": 44.02, "pop": 6, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.9, "life_expect": 23.599, "pop": 7, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.0993, "life_expect": 36.087, "pop": 6, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.01, "life_expect": 43.413, "pop": 8, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Rwanda", "fertility": 5.9169, "life_expect": 46.242, "pop": 8, "region": "Africa", "year": 2005 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.175, "life_expect": 42.868, "pop": 4, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.257, "life_expect": 45.914, "pop": 5, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.257, "life_expect": 49.901, "pop": 5, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.298, "life_expect": 53.886, "pop": 6, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.2780000000000005, "life_expect": 58.69, "pop": 7, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.015, "life_expect": 63.012, "pop": 10, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 6.217, "life_expect": 66.295, "pop": 13, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 5.446, "life_expect": 68.768, "pop": 16, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 4.621, "life_expect": 70.533, "pop": 20, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 3.81, "life_expect": 71.626, "pop": 23, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 3.352, "life_expect": 72.777, "pop": 26, "region": "Middle East", "year": 2005 }, { "cluster": 2, "country": "South Africa", "fertility": 6.5, "life_expect": 47.985, "pop": 15, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "South Africa", "fertility": 6.3, "life_expect": 49.951, "pop": 17, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "South Africa", "fertility": 5.7, "life_expect": 51.927, "pop": 20, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "South Africa", "fertility": 5.47, "life_expect": 53.696, "pop": 23, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "South Africa", "fertility": 5, "life_expect": 55.527, "pop": 26, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "South Africa", "fertility": 4.556, "life_expect": 58.161, "pop": 29, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "South Africa", "fertility": 3.85, "life_expect": 60.834, "pop": 34, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "South Africa", "fertility": 3.343, "life_expect": 61.888, "pop": 38, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "South Africa", "fertility": 2.954, "life_expect": 60.236, "pop": 42, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "South Africa", "fertility": 2.802, "life_expect": 53.365, "pop": 44, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "South Africa", "fertility": 2.637, "life_expect": 49.339, "pop": 44, "region": "Africa", "year": 2005 }, { "cluster": 1, "country": "Turkey", "fertility": 6.6, "life_expect": 48.079, "pop": 24, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Turkey", "fertility": 6.19, "life_expect": 52.098, "pop": 28, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Turkey", "fertility": 5.7, "life_expect": 54.336, "pop": 32, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Turkey", "fertility": 5.3, "life_expect": 57.005, "pop": 36, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Turkey", "fertility": 4.715, "life_expect": 59.507, "pop": 41, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Turkey", "fertility": 4.15, "life_expect": 61.036, "pop": 45, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Turkey", "fertility": 3.276, "life_expect": 63.108, "pop": 51, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Turkey", "fertility": 2.904, "life_expect": 66.146, "pop": 56, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Turkey", "fertility": 2.574, "life_expect": 68.835, "pop": 61, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Turkey", "fertility": 2.23, "life_expect": 70.845, "pop": 66, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Turkey", "fertility": 2.143, "life_expect": 71.777, "pop": 70, "region": "Europe", "year": 2005 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.49, "life_expect": 70.42, "pop": 51, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.81, "life_expect": 70.76, "pop": 52, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.52, "life_expect": 71.36, "pop": 54, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.04, "life_expect": 72.01, "pop": 56, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.72, "life_expect": 72.76, "pop": 56, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.8, "life_expect": 74.04, "pop": 56, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.81, "life_expect": 75.007, "pop": 57, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.78, "life_expect": 76.42, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.7000000000000002, "life_expect": 77.218, "pop": 58, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.695, "life_expect": 78.471, "pop": 60, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.815, "life_expect": 79.425, "pop": 60, "region": "Europe", "year": 2005 }, { "cluster": 3, "country": "United States", "fertility": 3.706, "life_expect": 69.49, "pop": 166, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "United States", "fertility": 3.314, "life_expect": 70.21, "pop": 181, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "United States", "fertility": 2.545, "life_expect": 70.76, "pop": 194, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "United States", "fertility": 2.016, "life_expect": 71.34, "pop": 205, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "United States", "fertility": 1.788, "life_expect": 73.38, "pop": 216, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "United States", "fertility": 1.8250000000000002, "life_expect": 74.65, "pop": 228, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "United States", "fertility": 1.924, "life_expect": 75.02, "pop": 238, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "United States", "fertility": 2.025, "life_expect": 76.09, "pop": 250, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "United States", "fertility": 1.994, "life_expect": 76.81, "pop": 267, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "United States", "fertility": 2.038, "life_expect": 77.31, "pop": 282, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "United States", "fertility": 2.054, "life_expect": 78.242, "pop": 296, "region": "Americas", "year": 2005 } ] }, "layer": [ { "encoding": { "color": { "field": "region", "type": "nominal" }, "order": { "field": "year", "type": "quantitative" }, "x": { "field": "life_expect", "type": "quantitative" }, "y": { "field": "fertility", "type": "quantitative" } }, "mark": "line" }, { "encoding": { "color": { "field": "region", "type": "nominal" }, "size": { "field": "pop", "scale": { "range": [ 10, 300 ] }, "type": "quantitative" }, "tooltip": [ { "field": "country", "type": "nominal" }, { "field": "region", "type": "nominal" }, { "field": "pop", "type": "quantitative" }, { "field": "fertility", "type": "quantitative" }, { "field": "life_expect", "type": "quantitative" }, { "field": "year", "type": "quantitative" } ], "x": { "field": "life_expect", "type": "quantitative" }, "y": { "field": "fertility", "type": "quantitative" } }, "mark": "circle" } ] }, "image/png": "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", "text/plain": [ "<VegaLite 3 object>\n", "\n", "If you see this message, it means the renderer has not been properly enabled\n", "for the frontend that you are using. For more information, see\n", "https://altair-viz.github.io/user_guide/troubleshooting.html\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# go back to chart without faceting, try to show countries' trajectories as lines\n", "\n", "circles = alt.Chart( # assign circles layer to a variable\n", " df\n", ").mark_circle(\n", ").encode(\n", " x='life_expect',\n", " y='fertility',\n", " color='region:N',\n", " size=alt.Size('pop', scale=alt.Scale(range=[10, 300])),\n", " tooltip=['country', 'region', 'pop', 'fertility', 'life_expect', 'year']\n", ")\n", "\n", "lines = alt.Chart( # draw lines, same encoding as above\n", " df\n", ").mark_line(\n", ").encode(\n", " x='life_expect',\n", " y='fertility',\n", " color='region:N',\n", " order='year' # order points in line by year (default would be x)\n", ")\n", "\n", "(lines + circles).display() # layer the two charts" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "application/vnd.vegalite.v3+json": { "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json", "config": { "mark": { "tooltip": null }, "view": { "height": 300, "width": 400 } }, "data": { "name": "data-eb55b3c04935b1d5bce4fa9a8c24136b" }, "datasets": { "data-eb55b3c04935b1d5bce4fa9a8c24136b": [ { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 30.332, "pop": 9, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 31.997, "pop": 10, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 34.02, "pop": 11, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 36.088, "pop": 12, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 38.438, "pop": 14, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.8, "life_expect": 39.854, "pop": 15, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.9, "life_expect": 40.822, "pop": 14, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Afghanistan", "fertility": 8, "life_expect": 41.674, "pop": 15, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Afghanistan", "fertility": 8, "life_expect": 41.763, "pop": 21, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.4792, "life_expect": 42.129, "pop": 24, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.0685, "life_expect": 43.828, "pop": 30, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 3, "country": "Argentina", "fertility": 3.1265, "life_expect": 64.399, "pop": 19, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Argentina", "fertility": 3.0895, "life_expect": 65.142, "pop": 21, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Argentina", "fertility": 3.049, "life_expect": 65.634, "pop": 22, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Argentina", "fertility": 3.1455, "life_expect": 67.065, "pop": 24, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Argentina", "fertility": 3.44, "life_expect": 68.481, "pop": 26, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Argentina", "fertility": 3.15, "life_expect": 69.942, "pop": 28, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Argentina", "fertility": 3.053, "life_expect": 70.774, "pop": 31, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Argentina", "fertility": 2.9, "life_expect": 71.868, "pop": 33, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Argentina", "fertility": 2.63, "life_expect": 73.275, "pop": 35, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Argentina", "fertility": 2.35, "life_expect": 74.34, "pop": 37, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Argentina", "fertility": 2.254, "life_expect": 75.32, "pop": 40, "region": "Americas", "year": 2005 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.76, "life_expect": 39.348, "pop": 50, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.85, "life_expect": 41.216, "pop": 55, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.6, "life_expect": 43.453, "pop": 60, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.15, "life_expect": 45.252, "pop": 67, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Bangladesh", "fertility": 5.6, "life_expect": 46.923, "pop": 76, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Bangladesh", "fertility": 5.25, "life_expect": 50.009, "pop": 88, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Bangladesh", "fertility": 4.629, "life_expect": 52.819, "pop": 100, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Bangladesh", "fertility": 4.117, "life_expect": 56.018, "pop": 110, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Bangladesh", "fertility": 3.5042999999999997, "life_expect": 59.412, "pop": 119, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Bangladesh", "fertility": 3.224, "life_expect": 62.013, "pop": 130, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Bangladesh", "fertility": 2.826, "life_expect": 64.062, "pop": 144, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 3, "country": "Brazil", "fertility": 6.1501, "life_expect": 53.285, "pop": 62, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Brazil", "fertility": 6.1501, "life_expect": 55.665, "pop": 72, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Brazil", "fertility": 5.38, "life_expect": 57.632, "pop": 83, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Brazil", "fertility": 4.7175, "life_expect": 59.504, "pop": 96, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Brazil", "fertility": 4.305, "life_expect": 61.489, "pop": 109, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Brazil", "fertility": 3.8, "life_expect": 63.336, "pop": 123, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Brazil", "fertility": 3.1, "life_expect": 65.205, "pop": 137, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Brazil", "fertility": 2.6, "life_expect": 67.057, "pop": 151, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Brazil", "fertility": 2.45, "life_expect": 69.388, "pop": 164, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Brazil", "fertility": 2.345, "life_expect": 71.006, "pop": 176, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Brazil", "fertility": 2.245, "life_expect": 72.39, "pop": 186, "region": "Americas", "year": 2005 }, { "cluster": 4, "country": "China", "fertility": 5.59, "life_expect": 50.54896, "pop": 609, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "China", "fertility": 5.72, "life_expect": 44.50136, "pop": 667, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "China", "fertility": 6.06, "life_expect": 58.38112, "pop": 715, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "China", "fertility": 4.86, "life_expect": 63.11888, "pop": 818, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "China", "fertility": 3.32, "life_expect": 63.96736, "pop": 916, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "China", "fertility": 2.55, "life_expect": 65.525, "pop": 981, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "China", "fertility": 2.46, "life_expect": 67.274, "pop": 1051, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "China", "fertility": 1.92, "life_expect": 68.69, "pop": 1135, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "China", "fertility": 1.7810000000000001, "life_expect": 70.426, "pop": 1205, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "China", "fertility": 1.7000000000000002, "life_expect": 72.028, "pop": 1263, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "China", "fertility": 1.725, "life_expect": 72.961, "pop": 1303, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 3, "country": "Colombia", "fertility": 6.76, "life_expect": 55.118, "pop": 14, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Colombia", "fertility": 6.76, "life_expect": 57.863, "pop": 16, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Colombia", "fertility": 6.18, "life_expect": 59.963, "pop": 19, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Colombia", "fertility": 5.0005, "life_expect": 61.623, "pop": 21, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Colombia", "fertility": 4.3385, "life_expect": 63.837, "pop": 24, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Colombia", "fertility": 3.685, "life_expect": 66.653, "pop": 27, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Colombia", "fertility": 3.172, "life_expect": 67.768, "pop": 30, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Colombia", "fertility": 2.93005, "life_expect": 68.421, "pop": 33, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Colombia", "fertility": 2.7, "life_expect": 70.313, "pop": 36, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Colombia", "fertility": 2.4705, "life_expect": 71.682, "pop": 40, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Colombia", "fertility": 2.2205, "life_expect": 72.889, "pop": 43, "region": "Americas", "year": 2005 }, { "cluster": 5, "country": "Egypt", "fertility": 6.97, "life_expect": 44.444, "pop": 24, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Egypt", "fertility": 7.073, "life_expect": 46.992, "pop": 27, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Egypt", "fertility": 6.5600000000000005, "life_expect": 49.293, "pop": 30, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Egypt", "fertility": 5.855, "life_expect": 51.137, "pop": 34, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Egypt", "fertility": 5.609, "life_expect": 53.319, "pop": 37, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Egypt", "fertility": 5.332, "life_expect": 56.006, "pop": 43, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Egypt", "fertility": 4.833, "life_expect": 59.797, "pop": 50, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Egypt", "fertility": 3.908, "life_expect": 63.674, "pop": 57, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Egypt", "fertility": 3.5, "life_expect": 67.217, "pop": 63, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Egypt", "fertility": 3.174, "life_expect": 69.806, "pop": 70, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Egypt", "fertility": 2.891, "life_expect": 71.338, "pop": 78, "region": "Middle East", "year": 2005 }, { "cluster": 1, "country": "France", "fertility": 2.7119999999999997, "life_expect": 68.93, "pop": 43, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "France", "fertility": 2.85, "life_expect": 70.51, "pop": 46, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "France", "fertility": 2.607, "life_expect": 71.55, "pop": 49, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "France", "fertility": 2.31, "life_expect": 72.38, "pop": 51, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "France", "fertility": 1.862, "life_expect": 73.83, "pop": 53, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "France", "fertility": 1.866, "life_expect": 74.89, "pop": 54, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "France", "fertility": 1.8050000000000002, "life_expect": 76.34, "pop": 55, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "France", "fertility": 1.713, "life_expect": 77.46, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "France", "fertility": 1.7624, "life_expect": 78.64, "pop": 58, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "France", "fertility": 1.8833000000000002, "life_expect": 79.59, "pop": 59, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "France", "fertility": 1.8916, "life_expect": 80.657, "pop": 61, "region": "Europe", "year": 2005 }, { "cluster": 1, "country": "Germany", "fertility": 2.3, "life_expect": 69.1, "pop": 70, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Germany", "fertility": 2.49, "life_expect": 70.3, "pop": 72, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Germany", "fertility": 2.32, "life_expect": 70.8, "pop": 76, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Germany", "fertility": 1.6400000000000001, "life_expect": 71, "pop": 78, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Germany", "fertility": 1.52, "life_expect": 72.5, "pop": 79, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Germany", "fertility": 1.46, "life_expect": 73.8, "pop": 78, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Germany", "fertility": 1.43, "life_expect": 74.847, "pop": 78, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Germany", "fertility": 1.31, "life_expect": 76.07, "pop": 79, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Germany", "fertility": 1.34, "life_expect": 77.34, "pop": 82, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Germany", "fertility": 1.346, "life_expect": 78.67, "pop": 82, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Germany", "fertility": 1.3599999999999999, "life_expect": 79.406, "pop": 82, "region": "Europe", "year": 2005 }, { "cluster": 0, "country": "India", "fertility": 5.8961, "life_expect": 40.249, "pop": 393, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "India", "fertility": 5.8216, "life_expect": 43.605, "pop": 434, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "India", "fertility": 5.6058, "life_expect": 47.193, "pop": 485, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "India", "fertility": 5.264, "life_expect": 50.651, "pop": 541, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "India", "fertility": 4.8888, "life_expect": 54.208, "pop": 607, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "India", "fertility": 4.4975, "life_expect": 56.596, "pop": 679, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "India", "fertility": 4.15, "life_expect": 58.553, "pop": 755, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "India", "fertility": 3.8648, "life_expect": 60.223, "pop": 839, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "India", "fertility": 3.4551, "life_expect": 61.765, "pop": 927, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "India", "fertility": 3.1132, "life_expect": 62.879, "pop": 1008, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "India", "fertility": 2.8073, "life_expect": 64.698, "pop": 1080, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.672, "life_expect": 39.918, "pop": 87, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.62, "life_expect": 42.518, "pop": 95, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.568, "life_expect": 45.964, "pop": 105, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.3, "life_expect": 49.203, "pop": 116, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Indonesia", "fertility": 4.73, "life_expect": 52.702, "pop": 130, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Indonesia", "fertility": 4.109, "life_expect": 56.159, "pop": 147, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Indonesia", "fertility": 3.4, "life_expect": 60.137, "pop": 163, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.9, "life_expect": 62.681, "pop": 178, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.55, "life_expect": 66.041, "pop": 195, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.3761, "life_expect": 68.588, "pop": 206, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.182, "life_expect": 70.65, "pop": 218, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 5, "country": "Iran", "fertility": 7, "life_expect": 47.181, "pop": 19, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Iran", "fertility": 7, "life_expect": 49.325, "pop": 22, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Iran", "fertility": 6.8, "life_expect": 52.469, "pop": 25, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Iran", "fertility": 6.4, "life_expect": 55.234, "pop": 29, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Iran", "fertility": 6.5, "life_expect": 57.702, "pop": 33, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Iran", "fertility": 6.63, "life_expect": 59.62, "pop": 40, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Iran", "fertility": 5.62, "life_expect": 63.04, "pop": 48, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Iran", "fertility": 4.328, "life_expect": 65.742, "pop": 57, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Iran", "fertility": 2.534, "life_expect": 68.042, "pop": 62, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Iran", "fertility": 2.124, "life_expect": 69.451, "pop": 66, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Iran", "fertility": 2.04, "life_expect": 70.964, "pop": 68, "region": "Middle East", "year": 2005 }, { "cluster": 5, "country": "Iraq", "fertility": 7.3, "life_expect": 48.437, "pop": 6, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Iraq", "fertility": 7.25, "life_expect": 51.457, "pop": 7, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Iraq", "fertility": 7.2, "life_expect": 54.459, "pop": 8, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Iraq", "fertility": 7.15, "life_expect": 56.95, "pop": 9, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Iraq", "fertility": 6.8, "life_expect": 60.413, "pop": 11, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Iraq", "fertility": 6.35, "life_expect": 62.038, "pop": 13, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Iraq", "fertility": 6.15, "life_expect": 65.044, "pop": 16, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Iraq", "fertility": 5.7, "life_expect": 59.461, "pop": 18, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Iraq", "fertility": 5.37, "life_expect": 58.811, "pop": 20, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Iraq", "fertility": 4.858, "life_expect": 57.046, "pop": 23, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Iraq", "fertility": 4.264, "life_expect": 59.545, "pop": 26, "region": "Middle East", "year": 2005 }, { "cluster": 5, "country": "Israel", "fertility": 3.893, "life_expect": 67.84, "pop": 2, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Israel", "fertility": 3.852, "life_expect": 69.39, "pop": 2, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Israel", "fertility": 3.79, "life_expect": 70.75, "pop": 3, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Israel", "fertility": 3.77, "life_expect": 71.63, "pop": 3, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Israel", "fertility": 3.409, "life_expect": 73.06, "pop": 3, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Israel", "fertility": 3.125, "life_expect": 74.45, "pop": 4, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Israel", "fertility": 3.051, "life_expect": 75.6, "pop": 4, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Israel", "fertility": 2.933, "life_expect": 76.93, "pop": 5, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Israel", "fertility": 2.942, "life_expect": 78.269, "pop": 5, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Israel", "fertility": 2.906, "life_expect": 79.696, "pop": 6, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Israel", "fertility": 2.75, "life_expect": 80.745, "pop": 6, "region": "Middle East", "year": 2005 }, { "cluster": 1, "country": "Italy", "fertility": 2.35, "life_expect": 67.81, "pop": 49, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Italy", "fertility": 2.498, "life_expect": 69.24, "pop": 50, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Italy", "fertility": 2.493, "life_expect": 71.06, "pop": 52, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Italy", "fertility": 2.325, "life_expect": 72.19, "pop": 54, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Italy", "fertility": 1.889, "life_expect": 73.48, "pop": 56, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Italy", "fertility": 1.53, "life_expect": 74.98, "pop": 56, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Italy", "fertility": 1.349, "life_expect": 76.42, "pop": 57, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Italy", "fertility": 1.275, "life_expect": 77.44, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Italy", "fertility": 1.213, "life_expect": 78.82, "pop": 57, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Italy", "fertility": 1.286, "life_expect": 80.24, "pop": 58, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Italy", "fertility": 1.379, "life_expect": 80.546, "pop": 58, "region": "Europe", "year": 2005 }, { "cluster": 4, "country": "Japan", "fertility": 2.08, "life_expect": 65.5, "pop": 90, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Japan", "fertility": 2.02, "life_expect": 68.73, "pop": 94, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Japan", "fertility": 2, "life_expect": 71.43, "pop": 99, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Japan", "fertility": 2.07, "life_expect": 73.42, "pop": 104, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Japan", "fertility": 1.81, "life_expect": 75.38, "pop": 112, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Japan", "fertility": 1.76, "life_expect": 77.11, "pop": 117, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Japan", "fertility": 1.6600000000000001, "life_expect": 78.67, "pop": 121, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Japan", "fertility": 1.49, "life_expect": 79.36, "pop": 124, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Japan", "fertility": 1.3900000000000001, "life_expect": 80.69, "pop": 125, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Japan", "fertility": 1.291, "life_expect": 82, "pop": 127, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Japan", "fertility": 1.27, "life_expect": 82.603, "pop": 127, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 2, "country": "Kenya", "fertility": 7.816, "life_expect": 44.686, "pop": 7, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Kenya", "fertility": 8.12, "life_expect": 47.949, "pop": 8, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Kenya", "fertility": 8.12, "life_expect": 50.654, "pop": 10, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Kenya", "fertility": 8, "life_expect": 53.559, "pop": 11, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Kenya", "fertility": 7.6, "life_expect": 56.155, "pop": 13, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Kenya", "fertility": 7.2, "life_expect": 58.766, "pop": 16, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Kenya", "fertility": 6.5, "life_expect": 59.339, "pop": 20, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Kenya", "fertility": 5.4, "life_expect": 59.285, "pop": 23, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Kenya", "fertility": 5, "life_expect": 54.407, "pop": 27, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Kenya", "fertility": 5, "life_expect": 50.992, "pop": 30, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Kenya", "fertility": 4.959, "life_expect": 54.11, "pop": 34, "region": "Africa", "year": 2005 }, { "cluster": 3, "country": "Mexico", "fertility": 6.8, "life_expect": 55.19, "pop": 33, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Mexico", "fertility": 6.7495, "life_expect": 58.299, "pop": 39, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Mexico", "fertility": 6.7495, "life_expect": 60.11, "pop": 45, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Mexico", "fertility": 6.5, "life_expect": 62.361, "pop": 53, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Mexico", "fertility": 5.2505, "life_expect": 65.032, "pop": 61, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Mexico", "fertility": 4.25, "life_expect": 67.405, "pop": 68, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Mexico", "fertility": 3.6295, "life_expect": 69.498, "pop": 77, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Mexico", "fertility": 3.1905, "life_expect": 71.455, "pop": 85, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Mexico", "fertility": 2.6705, "life_expect": 73.67, "pop": 93, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Mexico", "fertility": 2.4005, "life_expect": 74.902, "pop": 100, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Mexico", "fertility": 2.211, "life_expect": 76.195, "pop": 106, "region": "Americas", "year": 2005 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 37.802, "pop": 35, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 39.36, "pop": 40, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 41.04, "pop": 45, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 42.821, "pop": 51, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 44.514, "pop": 59, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 45.826, "pop": 69, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.834, "life_expect": 46.886, "pop": 78, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.635, "life_expect": 47.472, "pop": 89, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.246, "life_expect": 47.464, "pop": 101, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Nigeria", "fertility": 5.845, "life_expect": 46.608, "pop": 114, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Nigeria", "fertility": 5.322, "life_expect": 46.859, "pop": 129, "region": "Africa", "year": 2005 }, { "cluster": 4, "country": "North Korea", "fertility": 6.332, "life_expect": 52.681, "pop": 22, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "North Korea", "fertility": 5.63, "life_expect": 55.292, "pop": 25, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "North Korea", "fertility": 4.708, "life_expect": 57.716, "pop": 29, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "North Korea", "fertility": 4.281, "life_expect": 62.612, "pop": 32, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "North Korea", "fertility": 2.919, "life_expect": 64.766, "pop": 35, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "North Korea", "fertility": 2.234, "life_expect": 67.123, "pop": 38, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "North Korea", "fertility": 1.601, "life_expect": 69.81, "pop": 41, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "North Korea", "fertility": 1.6960000000000002, "life_expect": 72.244, "pop": 43, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "North Korea", "fertility": 1.514, "life_expect": 74.647, "pop": 45, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "North Korea", "fertility": 1.242, "life_expect": 77.045, "pop": 47, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "North Korea", "fertility": 1.21, "life_expect": 78.623, "pop": 49, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 45.557, "pop": 44, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 47.67, "pop": 50, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 49.8, "pop": 57, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 51.929, "pop": 66, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 54.043, "pop": 75, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 56.158, "pop": 85, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.66, "life_expect": 58.245, "pop": 99, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Pakistan", "fertility": 5.8, "life_expect": 60.838, "pop": 115, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Pakistan", "fertility": 4.9596, "life_expect": 61.818, "pop": 129, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Pakistan", "fertility": 3.9936, "life_expect": 63.61, "pop": 146, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Pakistan", "fertility": 3.5211, "life_expect": 65.483, "pop": 162, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 4, "country": "Philippines", "fertility": 7.13, "life_expect": 51.334, "pop": 25, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Philippines", "fertility": 6.85, "life_expect": 54.757, "pop": 29, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Philippines", "fertility": 6.5, "life_expect": 56.393, "pop": 33, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Philippines", "fertility": 6, "life_expect": 58.065, "pop": 39, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Philippines", "fertility": 5.5, "life_expect": 60.06, "pop": 44, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Philippines", "fertility": 4.95, "life_expect": 62.082, "pop": 51, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Philippines", "fertility": 4.55, "life_expect": 64.151, "pop": 57, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Philippines", "fertility": 4.143, "life_expect": 66.458, "pop": 64, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Philippines", "fertility": 3.7248, "life_expect": 68.564, "pop": 72, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Philippines", "fertility": 3.5436, "life_expect": 70.303, "pop": 80, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Philippines", "fertility": 3.2327, "life_expect": 71.688, "pop": 88, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 2, "country": "Rwanda", "fertility": 8, "life_expect": 41.5, "pop": 3, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.1, "life_expect": 43, "pop": 3, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.2, "life_expect": 44.1, "pop": 3, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.29, "life_expect": 44.6, "pop": 4, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.492, "life_expect": 45, "pop": 4, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.5, "life_expect": 46.218, "pop": 5, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.25, "life_expect": 44.02, "pop": 6, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.9, "life_expect": 23.599, "pop": 7, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.0993, "life_expect": 36.087, "pop": 6, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.01, "life_expect": 43.413, "pop": 8, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Rwanda", "fertility": 5.9169, "life_expect": 46.242, "pop": 8, "region": "Africa", "year": 2005 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.175, "life_expect": 42.868, "pop": 4, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.257, "life_expect": 45.914, "pop": 5, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.257, "life_expect": 49.901, "pop": 5, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.298, "life_expect": 53.886, "pop": 6, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.2780000000000005, "life_expect": 58.69, "pop": 7, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.015, "life_expect": 63.012, "pop": 10, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 6.217, "life_expect": 66.295, "pop": 13, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 5.446, "life_expect": 68.768, "pop": 16, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 4.621, "life_expect": 70.533, "pop": 20, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 3.81, "life_expect": 71.626, "pop": 23, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 3.352, "life_expect": 72.777, "pop": 26, "region": "Middle East", "year": 2005 }, { "cluster": 2, "country": "South Africa", "fertility": 6.5, "life_expect": 47.985, "pop": 15, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "South Africa", "fertility": 6.3, "life_expect": 49.951, "pop": 17, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "South Africa", "fertility": 5.7, "life_expect": 51.927, "pop": 20, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "South Africa", "fertility": 5.47, "life_expect": 53.696, "pop": 23, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "South Africa", "fertility": 5, "life_expect": 55.527, "pop": 26, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "South Africa", "fertility": 4.556, "life_expect": 58.161, "pop": 29, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "South Africa", "fertility": 3.85, "life_expect": 60.834, "pop": 34, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "South Africa", "fertility": 3.343, "life_expect": 61.888, "pop": 38, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "South Africa", "fertility": 2.954, "life_expect": 60.236, "pop": 42, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "South Africa", "fertility": 2.802, "life_expect": 53.365, "pop": 44, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "South Africa", "fertility": 2.637, "life_expect": 49.339, "pop": 44, "region": "Africa", "year": 2005 }, { "cluster": 1, "country": "Turkey", "fertility": 6.6, "life_expect": 48.079, "pop": 24, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Turkey", "fertility": 6.19, "life_expect": 52.098, "pop": 28, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Turkey", "fertility": 5.7, "life_expect": 54.336, "pop": 32, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Turkey", "fertility": 5.3, "life_expect": 57.005, "pop": 36, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Turkey", "fertility": 4.715, "life_expect": 59.507, "pop": 41, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Turkey", "fertility": 4.15, "life_expect": 61.036, "pop": 45, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Turkey", "fertility": 3.276, "life_expect": 63.108, "pop": 51, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Turkey", "fertility": 2.904, "life_expect": 66.146, "pop": 56, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Turkey", "fertility": 2.574, "life_expect": 68.835, "pop": 61, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Turkey", "fertility": 2.23, "life_expect": 70.845, "pop": 66, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Turkey", "fertility": 2.143, "life_expect": 71.777, "pop": 70, "region": "Europe", "year": 2005 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.49, "life_expect": 70.42, "pop": 51, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.81, "life_expect": 70.76, "pop": 52, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.52, "life_expect": 71.36, "pop": 54, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.04, "life_expect": 72.01, "pop": 56, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.72, "life_expect": 72.76, "pop": 56, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.8, "life_expect": 74.04, "pop": 56, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.81, "life_expect": 75.007, "pop": 57, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.78, "life_expect": 76.42, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.7000000000000002, "life_expect": 77.218, "pop": 58, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.695, "life_expect": 78.471, "pop": 60, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.815, "life_expect": 79.425, "pop": 60, "region": "Europe", "year": 2005 }, { "cluster": 3, "country": "United States", "fertility": 3.706, "life_expect": 69.49, "pop": 166, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "United States", "fertility": 3.314, "life_expect": 70.21, "pop": 181, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "United States", "fertility": 2.545, "life_expect": 70.76, "pop": 194, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "United States", "fertility": 2.016, "life_expect": 71.34, "pop": 205, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "United States", "fertility": 1.788, "life_expect": 73.38, "pop": 216, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "United States", "fertility": 1.8250000000000002, "life_expect": 74.65, "pop": 228, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "United States", "fertility": 1.924, "life_expect": 75.02, "pop": 238, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "United States", "fertility": 2.025, "life_expect": 76.09, "pop": 250, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "United States", "fertility": 1.994, "life_expect": 76.81, "pop": 267, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "United States", "fertility": 2.038, "life_expect": 77.31, "pop": 282, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "United States", "fertility": 2.054, "life_expect": 78.242, "pop": 296, "region": "Americas", "year": 2005 } ] }, "layer": [ { "encoding": { "color": { "field": "region", "type": "nominal" }, "detail": { "field": "country", "type": "nominal" }, "order": { "field": "year", "type": "quantitative" }, "x": { "field": "life_expect", "type": "quantitative" }, "y": { "field": "fertility", "type": "quantitative" } }, "mark": "line" }, { "encoding": { "color": { "field": "region", "type": "nominal" }, "size": { "field": "pop", "scale": { "range": [ 10, 300 ] }, "type": "quantitative" }, "tooltip": [ { "field": "country", "type": "nominal" }, { "field": "region", "type": "nominal" }, { "field": "pop", "type": "quantitative" }, { "field": "fertility", "type": "quantitative" }, { "field": "life_expect", "type": "quantitative" }, { "field": "year", "type": "quantitative" } ], "x": { "field": "life_expect", "type": "quantitative" }, "y": { "field": "fertility", "type": "quantitative" } }, "mark": "circle" } ] }, "image/png": "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", "text/plain": [ "<VegaLite 3 object>\n", "\n", "If you see this message, it means the renderer has not been properly enabled\n", "for the frontend that you are using. For more information, see\n", "https://altair-viz.github.io/user_guide/troubleshooting.html\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# In the above plot, a line is shown for each region, for all its countries.\n", "# That's not what we want. The 'detail' channel enables grouping by a field, without a visual representation of the field.\n", "\n", "circles = alt.Chart(\n", " df\n", ").mark_circle(\n", ").encode(\n", " x='life_expect',\n", " y='fertility',\n", " color='region:N',\n", " size=alt.Size('pop', scale=alt.Scale(range=[10, 300])),\n", " tooltip=['country', 'region', 'pop', 'fertility', 'life_expect', 'year']\n", ")\n", "\n", "lines = alt.Chart(\n", " df\n", ").mark_line(\n", ").encode(\n", " x='life_expect',\n", " y='fertility',\n", " color='region:N',\n", " order='year',\n", " detail='country' # detail on (split lines by) country\n", ")\n", "\n", "(lines + circles).display()" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "application/vnd.vegalite.v3+json": { "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json", "config": { "mark": { "tooltip": null }, "view": { "height": 300, "width": 400 } }, "data": { "name": "data-eb55b3c04935b1d5bce4fa9a8c24136b" }, "datasets": { "data-eb55b3c04935b1d5bce4fa9a8c24136b": [ { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 30.332, "pop": 9, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 31.997, "pop": 10, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 34.02, "pop": 11, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 36.088, "pop": 12, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 38.438, "pop": 14, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.8, "life_expect": 39.854, "pop": 15, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.9, "life_expect": 40.822, "pop": 14, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Afghanistan", "fertility": 8, "life_expect": 41.674, "pop": 15, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Afghanistan", "fertility": 8, "life_expect": 41.763, "pop": 21, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.4792, "life_expect": 42.129, "pop": 24, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.0685, "life_expect": 43.828, "pop": 30, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 3, "country": "Argentina", "fertility": 3.1265, "life_expect": 64.399, "pop": 19, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Argentina", "fertility": 3.0895, "life_expect": 65.142, "pop": 21, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Argentina", "fertility": 3.049, "life_expect": 65.634, "pop": 22, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Argentina", "fertility": 3.1455, "life_expect": 67.065, "pop": 24, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Argentina", "fertility": 3.44, "life_expect": 68.481, "pop": 26, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Argentina", "fertility": 3.15, "life_expect": 69.942, "pop": 28, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Argentina", "fertility": 3.053, "life_expect": 70.774, "pop": 31, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Argentina", "fertility": 2.9, "life_expect": 71.868, "pop": 33, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Argentina", "fertility": 2.63, "life_expect": 73.275, "pop": 35, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Argentina", "fertility": 2.35, "life_expect": 74.34, "pop": 37, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Argentina", "fertility": 2.254, "life_expect": 75.32, "pop": 40, "region": "Americas", "year": 2005 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.76, "life_expect": 39.348, "pop": 50, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.85, "life_expect": 41.216, "pop": 55, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.6, "life_expect": 43.453, "pop": 60, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.15, "life_expect": 45.252, "pop": 67, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Bangladesh", "fertility": 5.6, "life_expect": 46.923, "pop": 76, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Bangladesh", "fertility": 5.25, "life_expect": 50.009, "pop": 88, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Bangladesh", "fertility": 4.629, "life_expect": 52.819, "pop": 100, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Bangladesh", "fertility": 4.117, "life_expect": 56.018, "pop": 110, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Bangladesh", "fertility": 3.5042999999999997, "life_expect": 59.412, "pop": 119, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Bangladesh", "fertility": 3.224, "life_expect": 62.013, "pop": 130, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Bangladesh", "fertility": 2.826, "life_expect": 64.062, "pop": 144, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 3, "country": "Brazil", "fertility": 6.1501, "life_expect": 53.285, "pop": 62, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Brazil", "fertility": 6.1501, "life_expect": 55.665, "pop": 72, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Brazil", "fertility": 5.38, "life_expect": 57.632, "pop": 83, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Brazil", "fertility": 4.7175, "life_expect": 59.504, "pop": 96, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Brazil", "fertility": 4.305, "life_expect": 61.489, "pop": 109, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Brazil", "fertility": 3.8, "life_expect": 63.336, "pop": 123, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Brazil", "fertility": 3.1, "life_expect": 65.205, "pop": 137, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Brazil", "fertility": 2.6, "life_expect": 67.057, "pop": 151, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Brazil", "fertility": 2.45, "life_expect": 69.388, "pop": 164, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Brazil", "fertility": 2.345, "life_expect": 71.006, "pop": 176, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Brazil", "fertility": 2.245, "life_expect": 72.39, "pop": 186, "region": "Americas", "year": 2005 }, { "cluster": 4, "country": "China", "fertility": 5.59, "life_expect": 50.54896, "pop": 609, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "China", "fertility": 5.72, "life_expect": 44.50136, "pop": 667, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "China", "fertility": 6.06, "life_expect": 58.38112, "pop": 715, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "China", "fertility": 4.86, "life_expect": 63.11888, "pop": 818, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "China", "fertility": 3.32, "life_expect": 63.96736, "pop": 916, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "China", "fertility": 2.55, "life_expect": 65.525, "pop": 981, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "China", "fertility": 2.46, "life_expect": 67.274, "pop": 1051, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "China", "fertility": 1.92, "life_expect": 68.69, "pop": 1135, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "China", "fertility": 1.7810000000000001, "life_expect": 70.426, "pop": 1205, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "China", "fertility": 1.7000000000000002, "life_expect": 72.028, "pop": 1263, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "China", "fertility": 1.725, "life_expect": 72.961, "pop": 1303, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 3, "country": "Colombia", "fertility": 6.76, "life_expect": 55.118, "pop": 14, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Colombia", "fertility": 6.76, "life_expect": 57.863, "pop": 16, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Colombia", "fertility": 6.18, "life_expect": 59.963, "pop": 19, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Colombia", "fertility": 5.0005, "life_expect": 61.623, "pop": 21, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Colombia", "fertility": 4.3385, "life_expect": 63.837, "pop": 24, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Colombia", "fertility": 3.685, "life_expect": 66.653, "pop": 27, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Colombia", "fertility": 3.172, "life_expect": 67.768, "pop": 30, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Colombia", "fertility": 2.93005, "life_expect": 68.421, "pop": 33, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Colombia", "fertility": 2.7, "life_expect": 70.313, "pop": 36, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Colombia", "fertility": 2.4705, "life_expect": 71.682, "pop": 40, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Colombia", "fertility": 2.2205, "life_expect": 72.889, "pop": 43, "region": "Americas", "year": 2005 }, { "cluster": 5, "country": "Egypt", "fertility": 6.97, "life_expect": 44.444, "pop": 24, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Egypt", "fertility": 7.073, "life_expect": 46.992, "pop": 27, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Egypt", "fertility": 6.5600000000000005, "life_expect": 49.293, "pop": 30, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Egypt", "fertility": 5.855, "life_expect": 51.137, "pop": 34, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Egypt", "fertility": 5.609, "life_expect": 53.319, "pop": 37, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Egypt", "fertility": 5.332, "life_expect": 56.006, "pop": 43, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Egypt", "fertility": 4.833, "life_expect": 59.797, "pop": 50, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Egypt", "fertility": 3.908, "life_expect": 63.674, "pop": 57, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Egypt", "fertility": 3.5, "life_expect": 67.217, "pop": 63, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Egypt", "fertility": 3.174, "life_expect": 69.806, "pop": 70, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Egypt", "fertility": 2.891, "life_expect": 71.338, "pop": 78, "region": "Middle East", "year": 2005 }, { "cluster": 1, "country": "France", "fertility": 2.7119999999999997, "life_expect": 68.93, "pop": 43, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "France", "fertility": 2.85, "life_expect": 70.51, "pop": 46, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "France", "fertility": 2.607, "life_expect": 71.55, "pop": 49, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "France", "fertility": 2.31, "life_expect": 72.38, "pop": 51, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "France", "fertility": 1.862, "life_expect": 73.83, "pop": 53, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "France", "fertility": 1.866, "life_expect": 74.89, "pop": 54, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "France", "fertility": 1.8050000000000002, "life_expect": 76.34, "pop": 55, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "France", "fertility": 1.713, "life_expect": 77.46, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "France", "fertility": 1.7624, "life_expect": 78.64, "pop": 58, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "France", "fertility": 1.8833000000000002, "life_expect": 79.59, "pop": 59, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "France", "fertility": 1.8916, "life_expect": 80.657, "pop": 61, "region": "Europe", "year": 2005 }, { "cluster": 1, "country": "Germany", "fertility": 2.3, "life_expect": 69.1, "pop": 70, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Germany", "fertility": 2.49, "life_expect": 70.3, "pop": 72, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Germany", "fertility": 2.32, "life_expect": 70.8, "pop": 76, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Germany", "fertility": 1.6400000000000001, "life_expect": 71, "pop": 78, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Germany", "fertility": 1.52, "life_expect": 72.5, "pop": 79, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Germany", "fertility": 1.46, "life_expect": 73.8, "pop": 78, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Germany", "fertility": 1.43, "life_expect": 74.847, "pop": 78, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Germany", "fertility": 1.31, "life_expect": 76.07, "pop": 79, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Germany", "fertility": 1.34, "life_expect": 77.34, "pop": 82, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Germany", "fertility": 1.346, "life_expect": 78.67, "pop": 82, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Germany", "fertility": 1.3599999999999999, "life_expect": 79.406, "pop": 82, "region": "Europe", "year": 2005 }, { "cluster": 0, "country": "India", "fertility": 5.8961, "life_expect": 40.249, "pop": 393, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "India", "fertility": 5.8216, "life_expect": 43.605, "pop": 434, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "India", "fertility": 5.6058, "life_expect": 47.193, "pop": 485, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "India", "fertility": 5.264, "life_expect": 50.651, "pop": 541, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "India", "fertility": 4.8888, "life_expect": 54.208, "pop": 607, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "India", "fertility": 4.4975, "life_expect": 56.596, "pop": 679, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "India", "fertility": 4.15, "life_expect": 58.553, "pop": 755, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "India", "fertility": 3.8648, "life_expect": 60.223, "pop": 839, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "India", "fertility": 3.4551, "life_expect": 61.765, "pop": 927, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "India", "fertility": 3.1132, "life_expect": 62.879, "pop": 1008, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "India", "fertility": 2.8073, "life_expect": 64.698, "pop": 1080, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.672, "life_expect": 39.918, "pop": 87, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.62, "life_expect": 42.518, "pop": 95, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.568, "life_expect": 45.964, "pop": 105, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.3, "life_expect": 49.203, "pop": 116, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Indonesia", "fertility": 4.73, "life_expect": 52.702, "pop": 130, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Indonesia", "fertility": 4.109, "life_expect": 56.159, "pop": 147, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Indonesia", "fertility": 3.4, "life_expect": 60.137, "pop": 163, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.9, "life_expect": 62.681, "pop": 178, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.55, "life_expect": 66.041, "pop": 195, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.3761, "life_expect": 68.588, "pop": 206, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.182, "life_expect": 70.65, "pop": 218, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 5, "country": "Iran", "fertility": 7, "life_expect": 47.181, "pop": 19, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Iran", "fertility": 7, "life_expect": 49.325, "pop": 22, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Iran", "fertility": 6.8, "life_expect": 52.469, "pop": 25, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Iran", "fertility": 6.4, "life_expect": 55.234, "pop": 29, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Iran", "fertility": 6.5, "life_expect": 57.702, "pop": 33, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Iran", "fertility": 6.63, "life_expect": 59.62, "pop": 40, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Iran", "fertility": 5.62, "life_expect": 63.04, "pop": 48, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Iran", "fertility": 4.328, "life_expect": 65.742, "pop": 57, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Iran", "fertility": 2.534, "life_expect": 68.042, "pop": 62, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Iran", "fertility": 2.124, "life_expect": 69.451, "pop": 66, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Iran", "fertility": 2.04, "life_expect": 70.964, "pop": 68, "region": "Middle East", "year": 2005 }, { "cluster": 5, "country": "Iraq", "fertility": 7.3, "life_expect": 48.437, "pop": 6, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Iraq", "fertility": 7.25, "life_expect": 51.457, "pop": 7, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Iraq", "fertility": 7.2, "life_expect": 54.459, "pop": 8, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Iraq", "fertility": 7.15, "life_expect": 56.95, "pop": 9, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Iraq", "fertility": 6.8, "life_expect": 60.413, "pop": 11, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Iraq", "fertility": 6.35, "life_expect": 62.038, "pop": 13, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Iraq", "fertility": 6.15, "life_expect": 65.044, "pop": 16, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Iraq", "fertility": 5.7, "life_expect": 59.461, "pop": 18, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Iraq", "fertility": 5.37, "life_expect": 58.811, "pop": 20, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Iraq", "fertility": 4.858, "life_expect": 57.046, "pop": 23, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Iraq", "fertility": 4.264, "life_expect": 59.545, "pop": 26, "region": "Middle East", "year": 2005 }, { "cluster": 5, "country": "Israel", "fertility": 3.893, "life_expect": 67.84, "pop": 2, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Israel", "fertility": 3.852, "life_expect": 69.39, "pop": 2, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Israel", "fertility": 3.79, "life_expect": 70.75, "pop": 3, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Israel", "fertility": 3.77, "life_expect": 71.63, "pop": 3, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Israel", "fertility": 3.409, "life_expect": 73.06, "pop": 3, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Israel", "fertility": 3.125, "life_expect": 74.45, "pop": 4, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Israel", "fertility": 3.051, "life_expect": 75.6, "pop": 4, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Israel", "fertility": 2.933, "life_expect": 76.93, "pop": 5, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Israel", "fertility": 2.942, "life_expect": 78.269, "pop": 5, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Israel", "fertility": 2.906, "life_expect": 79.696, "pop": 6, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Israel", "fertility": 2.75, "life_expect": 80.745, "pop": 6, "region": "Middle East", "year": 2005 }, { "cluster": 1, "country": "Italy", "fertility": 2.35, "life_expect": 67.81, "pop": 49, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Italy", "fertility": 2.498, "life_expect": 69.24, "pop": 50, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Italy", "fertility": 2.493, "life_expect": 71.06, "pop": 52, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Italy", "fertility": 2.325, "life_expect": 72.19, "pop": 54, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Italy", "fertility": 1.889, "life_expect": 73.48, "pop": 56, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Italy", "fertility": 1.53, "life_expect": 74.98, "pop": 56, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Italy", "fertility": 1.349, "life_expect": 76.42, "pop": 57, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Italy", "fertility": 1.275, "life_expect": 77.44, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Italy", "fertility": 1.213, "life_expect": 78.82, "pop": 57, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Italy", "fertility": 1.286, "life_expect": 80.24, "pop": 58, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Italy", "fertility": 1.379, "life_expect": 80.546, "pop": 58, "region": "Europe", "year": 2005 }, { "cluster": 4, "country": "Japan", "fertility": 2.08, "life_expect": 65.5, "pop": 90, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Japan", "fertility": 2.02, "life_expect": 68.73, "pop": 94, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Japan", "fertility": 2, "life_expect": 71.43, "pop": 99, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Japan", "fertility": 2.07, "life_expect": 73.42, "pop": 104, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Japan", "fertility": 1.81, "life_expect": 75.38, "pop": 112, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Japan", "fertility": 1.76, "life_expect": 77.11, "pop": 117, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Japan", "fertility": 1.6600000000000001, "life_expect": 78.67, "pop": 121, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Japan", "fertility": 1.49, "life_expect": 79.36, "pop": 124, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Japan", "fertility": 1.3900000000000001, "life_expect": 80.69, "pop": 125, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Japan", "fertility": 1.291, "life_expect": 82, "pop": 127, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Japan", "fertility": 1.27, "life_expect": 82.603, "pop": 127, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 2, "country": "Kenya", "fertility": 7.816, "life_expect": 44.686, "pop": 7, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Kenya", "fertility": 8.12, "life_expect": 47.949, "pop": 8, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Kenya", "fertility": 8.12, "life_expect": 50.654, "pop": 10, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Kenya", "fertility": 8, "life_expect": 53.559, "pop": 11, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Kenya", "fertility": 7.6, "life_expect": 56.155, "pop": 13, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Kenya", "fertility": 7.2, "life_expect": 58.766, "pop": 16, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Kenya", "fertility": 6.5, "life_expect": 59.339, "pop": 20, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Kenya", "fertility": 5.4, "life_expect": 59.285, "pop": 23, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Kenya", "fertility": 5, "life_expect": 54.407, "pop": 27, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Kenya", "fertility": 5, "life_expect": 50.992, "pop": 30, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Kenya", "fertility": 4.959, "life_expect": 54.11, "pop": 34, "region": "Africa", "year": 2005 }, { "cluster": 3, "country": "Mexico", "fertility": 6.8, "life_expect": 55.19, "pop": 33, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Mexico", "fertility": 6.7495, "life_expect": 58.299, "pop": 39, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Mexico", "fertility": 6.7495, "life_expect": 60.11, "pop": 45, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Mexico", "fertility": 6.5, "life_expect": 62.361, "pop": 53, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Mexico", "fertility": 5.2505, "life_expect": 65.032, "pop": 61, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Mexico", "fertility": 4.25, "life_expect": 67.405, "pop": 68, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Mexico", "fertility": 3.6295, "life_expect": 69.498, "pop": 77, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Mexico", "fertility": 3.1905, "life_expect": 71.455, "pop": 85, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Mexico", "fertility": 2.6705, "life_expect": 73.67, "pop": 93, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Mexico", "fertility": 2.4005, "life_expect": 74.902, "pop": 100, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Mexico", "fertility": 2.211, "life_expect": 76.195, "pop": 106, "region": "Americas", "year": 2005 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 37.802, "pop": 35, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 39.36, "pop": 40, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 41.04, "pop": 45, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 42.821, "pop": 51, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 44.514, "pop": 59, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 45.826, "pop": 69, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.834, "life_expect": 46.886, "pop": 78, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.635, "life_expect": 47.472, "pop": 89, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.246, "life_expect": 47.464, "pop": 101, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Nigeria", "fertility": 5.845, "life_expect": 46.608, "pop": 114, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Nigeria", "fertility": 5.322, "life_expect": 46.859, "pop": 129, "region": "Africa", "year": 2005 }, { "cluster": 4, "country": "North Korea", "fertility": 6.332, "life_expect": 52.681, "pop": 22, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "North Korea", "fertility": 5.63, "life_expect": 55.292, "pop": 25, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "North Korea", "fertility": 4.708, "life_expect": 57.716, "pop": 29, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "North Korea", "fertility": 4.281, "life_expect": 62.612, "pop": 32, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "North Korea", "fertility": 2.919, "life_expect": 64.766, "pop": 35, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "North Korea", "fertility": 2.234, "life_expect": 67.123, "pop": 38, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "North Korea", "fertility": 1.601, "life_expect": 69.81, "pop": 41, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "North Korea", "fertility": 1.6960000000000002, "life_expect": 72.244, "pop": 43, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "North Korea", "fertility": 1.514, "life_expect": 74.647, "pop": 45, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "North Korea", "fertility": 1.242, "life_expect": 77.045, "pop": 47, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "North Korea", "fertility": 1.21, "life_expect": 78.623, "pop": 49, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 45.557, "pop": 44, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 47.67, "pop": 50, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 49.8, "pop": 57, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 51.929, "pop": 66, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 54.043, "pop": 75, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 56.158, "pop": 85, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.66, "life_expect": 58.245, "pop": 99, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Pakistan", "fertility": 5.8, "life_expect": 60.838, "pop": 115, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Pakistan", "fertility": 4.9596, "life_expect": 61.818, "pop": 129, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Pakistan", "fertility": 3.9936, "life_expect": 63.61, "pop": 146, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Pakistan", "fertility": 3.5211, "life_expect": 65.483, "pop": 162, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 4, "country": "Philippines", "fertility": 7.13, "life_expect": 51.334, "pop": 25, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Philippines", "fertility": 6.85, "life_expect": 54.757, "pop": 29, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Philippines", "fertility": 6.5, "life_expect": 56.393, "pop": 33, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Philippines", "fertility": 6, "life_expect": 58.065, "pop": 39, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Philippines", "fertility": 5.5, "life_expect": 60.06, "pop": 44, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Philippines", "fertility": 4.95, "life_expect": 62.082, "pop": 51, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Philippines", "fertility": 4.55, "life_expect": 64.151, "pop": 57, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Philippines", "fertility": 4.143, "life_expect": 66.458, "pop": 64, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Philippines", "fertility": 3.7248, "life_expect": 68.564, "pop": 72, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Philippines", "fertility": 3.5436, "life_expect": 70.303, "pop": 80, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Philippines", "fertility": 3.2327, "life_expect": 71.688, "pop": 88, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 2, "country": "Rwanda", "fertility": 8, "life_expect": 41.5, "pop": 3, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.1, "life_expect": 43, "pop": 3, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.2, "life_expect": 44.1, "pop": 3, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.29, "life_expect": 44.6, "pop": 4, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.492, "life_expect": 45, "pop": 4, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.5, "life_expect": 46.218, "pop": 5, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.25, "life_expect": 44.02, "pop": 6, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.9, "life_expect": 23.599, "pop": 7, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.0993, "life_expect": 36.087, "pop": 6, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.01, "life_expect": 43.413, "pop": 8, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Rwanda", "fertility": 5.9169, "life_expect": 46.242, "pop": 8, "region": "Africa", "year": 2005 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.175, "life_expect": 42.868, "pop": 4, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.257, "life_expect": 45.914, "pop": 5, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.257, "life_expect": 49.901, "pop": 5, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.298, "life_expect": 53.886, "pop": 6, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.2780000000000005, "life_expect": 58.69, "pop": 7, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.015, "life_expect": 63.012, "pop": 10, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 6.217, "life_expect": 66.295, "pop": 13, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 5.446, "life_expect": 68.768, "pop": 16, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 4.621, "life_expect": 70.533, "pop": 20, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 3.81, "life_expect": 71.626, "pop": 23, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 3.352, "life_expect": 72.777, "pop": 26, "region": "Middle East", "year": 2005 }, { "cluster": 2, "country": "South Africa", "fertility": 6.5, "life_expect": 47.985, "pop": 15, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "South Africa", "fertility": 6.3, "life_expect": 49.951, "pop": 17, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "South Africa", "fertility": 5.7, "life_expect": 51.927, "pop": 20, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "South Africa", "fertility": 5.47, "life_expect": 53.696, "pop": 23, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "South Africa", "fertility": 5, "life_expect": 55.527, "pop": 26, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "South Africa", "fertility": 4.556, "life_expect": 58.161, "pop": 29, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "South Africa", "fertility": 3.85, "life_expect": 60.834, "pop": 34, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "South Africa", "fertility": 3.343, "life_expect": 61.888, "pop": 38, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "South Africa", "fertility": 2.954, "life_expect": 60.236, "pop": 42, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "South Africa", "fertility": 2.802, "life_expect": 53.365, "pop": 44, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "South Africa", "fertility": 2.637, "life_expect": 49.339, "pop": 44, "region": "Africa", "year": 2005 }, { "cluster": 1, "country": "Turkey", "fertility": 6.6, "life_expect": 48.079, "pop": 24, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Turkey", "fertility": 6.19, "life_expect": 52.098, "pop": 28, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Turkey", "fertility": 5.7, "life_expect": 54.336, "pop": 32, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Turkey", "fertility": 5.3, "life_expect": 57.005, "pop": 36, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Turkey", "fertility": 4.715, "life_expect": 59.507, "pop": 41, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Turkey", "fertility": 4.15, "life_expect": 61.036, "pop": 45, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Turkey", "fertility": 3.276, "life_expect": 63.108, "pop": 51, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Turkey", "fertility": 2.904, "life_expect": 66.146, "pop": 56, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Turkey", "fertility": 2.574, "life_expect": 68.835, "pop": 61, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Turkey", "fertility": 2.23, "life_expect": 70.845, "pop": 66, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Turkey", "fertility": 2.143, "life_expect": 71.777, "pop": 70, "region": "Europe", "year": 2005 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.49, "life_expect": 70.42, "pop": 51, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.81, "life_expect": 70.76, "pop": 52, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.52, "life_expect": 71.36, "pop": 54, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.04, "life_expect": 72.01, "pop": 56, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.72, "life_expect": 72.76, "pop": 56, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.8, "life_expect": 74.04, "pop": 56, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.81, "life_expect": 75.007, "pop": 57, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.78, "life_expect": 76.42, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.7000000000000002, "life_expect": 77.218, "pop": 58, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.695, "life_expect": 78.471, "pop": 60, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.815, "life_expect": 79.425, "pop": 60, "region": "Europe", "year": 2005 }, { "cluster": 3, "country": "United States", "fertility": 3.706, "life_expect": 69.49, "pop": 166, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "United States", "fertility": 3.314, "life_expect": 70.21, "pop": 181, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "United States", "fertility": 2.545, "life_expect": 70.76, "pop": 194, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "United States", "fertility": 2.016, "life_expect": 71.34, "pop": 205, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "United States", "fertility": 1.788, "life_expect": 73.38, "pop": 216, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "United States", "fertility": 1.8250000000000002, "life_expect": 74.65, "pop": 228, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "United States", "fertility": 1.924, "life_expect": 75.02, "pop": 238, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "United States", "fertility": 2.025, "life_expect": 76.09, "pop": 250, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "United States", "fertility": 1.994, "life_expect": 76.81, "pop": 267, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "United States", "fertility": 2.038, "life_expect": 77.31, "pop": 282, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "United States", "fertility": 2.054, "life_expect": 78.242, "pop": 296, "region": "Americas", "year": 2005 } ] }, "facet": { "field": "region", "type": "nominal" }, "spec": { "layer": [ { "encoding": { "color": { "field": "region", "type": "nominal" }, "detail": { "field": "country", "type": "nominal" }, "order": { "field": "year", "type": "quantitative" }, "x": { "field": "life_expect", "type": "quantitative" }, "y": { "field": "fertility", "type": "quantitative" } }, "mark": "line" }, { "encoding": { "color": { "field": "region", "type": "nominal" }, "size": { "field": "pop", "scale": { "range": [ 10, 300 ] }, "type": "quantitative" }, "tooltip": [ { "field": "country", "type": "nominal" }, { "field": "region", "type": "nominal" }, { "field": "pop", "type": "quantitative" }, { "field": "fertility", "type": "quantitative" }, { "field": "life_expect", "type": "quantitative" }, { "field": "year", "type": "quantitative" } ], "x": { "field": "life_expect", "type": "quantitative" }, "y": { "field": "fertility", "type": "quantitative" } }, "mark": "circle" } ] } }, "image/png": "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", "text/plain": [ "<VegaLite 3 object>\n", "\n", "If you see this message, it means the renderer has not been properly enabled\n", "for the frontend that you are using. For more information, see\n", "https://altair-viz.github.io/user_guide/troubleshooting.html\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# faceting a layered chart is a bit tricky!\n", "\n", "circles = alt.Chart().mark_circle( # don't specify data per layer\n", ").encode(\n", " x='life_expect',\n", " y='fertility',\n", " color='region:N',\n", " size=alt.Size('pop', scale=alt.Scale(range=[10, 300])),\n", " tooltip=['country', 'region', 'pop', 'fertility', 'life_expect', 'year']\n", ")\n", "\n", "lines = alt.Chart().mark_line( # don't specify data per layer\n", ").encode(\n", " x='life_expect',\n", " y='fertility',\n", " color='region:N',\n", " detail='country:N',\n", " order='year'\n", ")\n", "\n", "alt.layer(lines, circles).facet('region:N', data=df).display() # stick in data when faceting" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "application/vnd.vegalite.v3+json": { "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json", "config": { "mark": { "tooltip": null }, "view": { "height": 300, "width": 400 } }, "data": { "name": "data-eb55b3c04935b1d5bce4fa9a8c24136b" }, "datasets": { "data-eb55b3c04935b1d5bce4fa9a8c24136b": [ { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 30.332, "pop": 9, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 31.997, "pop": 10, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 34.02, "pop": 11, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 36.088, "pop": 12, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.7, "life_expect": 38.438, "pop": 14, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.8, "life_expect": 39.854, "pop": 15, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.9, "life_expect": 40.822, "pop": 14, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Afghanistan", "fertility": 8, "life_expect": 41.674, "pop": 15, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Afghanistan", "fertility": 8, "life_expect": 41.763, "pop": 21, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.4792, "life_expect": 42.129, "pop": 24, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Afghanistan", "fertility": 7.0685, "life_expect": 43.828, "pop": 30, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 3, "country": "Argentina", "fertility": 3.1265, "life_expect": 64.399, "pop": 19, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Argentina", "fertility": 3.0895, "life_expect": 65.142, "pop": 21, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Argentina", "fertility": 3.049, "life_expect": 65.634, "pop": 22, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Argentina", "fertility": 3.1455, "life_expect": 67.065, "pop": 24, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Argentina", "fertility": 3.44, "life_expect": 68.481, "pop": 26, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Argentina", "fertility": 3.15, "life_expect": 69.942, "pop": 28, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Argentina", "fertility": 3.053, "life_expect": 70.774, "pop": 31, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Argentina", "fertility": 2.9, "life_expect": 71.868, "pop": 33, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Argentina", "fertility": 2.63, "life_expect": 73.275, "pop": 35, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Argentina", "fertility": 2.35, "life_expect": 74.34, "pop": 37, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Argentina", "fertility": 2.254, "life_expect": 75.32, "pop": 40, "region": "Americas", "year": 2005 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.76, "life_expect": 39.348, "pop": 50, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.85, "life_expect": 41.216, "pop": 55, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.6, "life_expect": 43.453, "pop": 60, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Bangladesh", "fertility": 6.15, "life_expect": 45.252, "pop": 67, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Bangladesh", "fertility": 5.6, "life_expect": 46.923, "pop": 76, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Bangladesh", "fertility": 5.25, "life_expect": 50.009, "pop": 88, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Bangladesh", "fertility": 4.629, "life_expect": 52.819, "pop": 100, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Bangladesh", "fertility": 4.117, "life_expect": 56.018, "pop": 110, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Bangladesh", "fertility": 3.5042999999999997, "life_expect": 59.412, "pop": 119, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Bangladesh", "fertility": 3.224, "life_expect": 62.013, "pop": 130, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Bangladesh", "fertility": 2.826, "life_expect": 64.062, "pop": 144, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 3, "country": "Brazil", "fertility": 6.1501, "life_expect": 53.285, "pop": 62, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Brazil", "fertility": 6.1501, "life_expect": 55.665, "pop": 72, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Brazil", "fertility": 5.38, "life_expect": 57.632, "pop": 83, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Brazil", "fertility": 4.7175, "life_expect": 59.504, "pop": 96, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Brazil", "fertility": 4.305, "life_expect": 61.489, "pop": 109, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Brazil", "fertility": 3.8, "life_expect": 63.336, "pop": 123, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Brazil", "fertility": 3.1, "life_expect": 65.205, "pop": 137, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Brazil", "fertility": 2.6, "life_expect": 67.057, "pop": 151, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Brazil", "fertility": 2.45, "life_expect": 69.388, "pop": 164, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Brazil", "fertility": 2.345, "life_expect": 71.006, "pop": 176, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Brazil", "fertility": 2.245, "life_expect": 72.39, "pop": 186, "region": "Americas", "year": 2005 }, { "cluster": 4, "country": "China", "fertility": 5.59, "life_expect": 50.54896, "pop": 609, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "China", "fertility": 5.72, "life_expect": 44.50136, "pop": 667, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "China", "fertility": 6.06, "life_expect": 58.38112, "pop": 715, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "China", "fertility": 4.86, "life_expect": 63.11888, "pop": 818, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "China", "fertility": 3.32, "life_expect": 63.96736, "pop": 916, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "China", "fertility": 2.55, "life_expect": 65.525, "pop": 981, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "China", "fertility": 2.46, "life_expect": 67.274, "pop": 1051, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "China", "fertility": 1.92, "life_expect": 68.69, "pop": 1135, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "China", "fertility": 1.7810000000000001, "life_expect": 70.426, "pop": 1205, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "China", "fertility": 1.7000000000000002, "life_expect": 72.028, "pop": 1263, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "China", "fertility": 1.725, "life_expect": 72.961, "pop": 1303, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 3, "country": "Colombia", "fertility": 6.76, "life_expect": 55.118, "pop": 14, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Colombia", "fertility": 6.76, "life_expect": 57.863, "pop": 16, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Colombia", "fertility": 6.18, "life_expect": 59.963, "pop": 19, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Colombia", "fertility": 5.0005, "life_expect": 61.623, "pop": 21, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Colombia", "fertility": 4.3385, "life_expect": 63.837, "pop": 24, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Colombia", "fertility": 3.685, "life_expect": 66.653, "pop": 27, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Colombia", "fertility": 3.172, "life_expect": 67.768, "pop": 30, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Colombia", "fertility": 2.93005, "life_expect": 68.421, "pop": 33, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Colombia", "fertility": 2.7, "life_expect": 70.313, "pop": 36, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Colombia", "fertility": 2.4705, "life_expect": 71.682, "pop": 40, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Colombia", "fertility": 2.2205, "life_expect": 72.889, "pop": 43, "region": "Americas", "year": 2005 }, { "cluster": 5, "country": "Egypt", "fertility": 6.97, "life_expect": 44.444, "pop": 24, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Egypt", "fertility": 7.073, "life_expect": 46.992, "pop": 27, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Egypt", "fertility": 6.5600000000000005, "life_expect": 49.293, "pop": 30, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Egypt", "fertility": 5.855, "life_expect": 51.137, "pop": 34, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Egypt", "fertility": 5.609, "life_expect": 53.319, "pop": 37, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Egypt", "fertility": 5.332, "life_expect": 56.006, "pop": 43, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Egypt", "fertility": 4.833, "life_expect": 59.797, "pop": 50, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Egypt", "fertility": 3.908, "life_expect": 63.674, "pop": 57, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Egypt", "fertility": 3.5, "life_expect": 67.217, "pop": 63, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Egypt", "fertility": 3.174, "life_expect": 69.806, "pop": 70, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Egypt", "fertility": 2.891, "life_expect": 71.338, "pop": 78, "region": "Middle East", "year": 2005 }, { "cluster": 1, "country": "France", "fertility": 2.7119999999999997, "life_expect": 68.93, "pop": 43, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "France", "fertility": 2.85, "life_expect": 70.51, "pop": 46, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "France", "fertility": 2.607, "life_expect": 71.55, "pop": 49, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "France", "fertility": 2.31, "life_expect": 72.38, "pop": 51, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "France", "fertility": 1.862, "life_expect": 73.83, "pop": 53, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "France", "fertility": 1.866, "life_expect": 74.89, "pop": 54, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "France", "fertility": 1.8050000000000002, "life_expect": 76.34, "pop": 55, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "France", "fertility": 1.713, "life_expect": 77.46, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "France", "fertility": 1.7624, "life_expect": 78.64, "pop": 58, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "France", "fertility": 1.8833000000000002, "life_expect": 79.59, "pop": 59, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "France", "fertility": 1.8916, "life_expect": 80.657, "pop": 61, "region": "Europe", "year": 2005 }, { "cluster": 1, "country": "Germany", "fertility": 2.3, "life_expect": 69.1, "pop": 70, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Germany", "fertility": 2.49, "life_expect": 70.3, "pop": 72, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Germany", "fertility": 2.32, "life_expect": 70.8, "pop": 76, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Germany", "fertility": 1.6400000000000001, "life_expect": 71, "pop": 78, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Germany", "fertility": 1.52, "life_expect": 72.5, "pop": 79, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Germany", "fertility": 1.46, "life_expect": 73.8, "pop": 78, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Germany", "fertility": 1.43, "life_expect": 74.847, "pop": 78, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Germany", "fertility": 1.31, "life_expect": 76.07, "pop": 79, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Germany", "fertility": 1.34, "life_expect": 77.34, "pop": 82, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Germany", "fertility": 1.346, "life_expect": 78.67, "pop": 82, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Germany", "fertility": 1.3599999999999999, "life_expect": 79.406, "pop": 82, "region": "Europe", "year": 2005 }, { "cluster": 0, "country": "India", "fertility": 5.8961, "life_expect": 40.249, "pop": 393, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "India", "fertility": 5.8216, "life_expect": 43.605, "pop": 434, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "India", "fertility": 5.6058, "life_expect": 47.193, "pop": 485, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "India", "fertility": 5.264, "life_expect": 50.651, "pop": 541, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "India", "fertility": 4.8888, "life_expect": 54.208, "pop": 607, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "India", "fertility": 4.4975, "life_expect": 56.596, "pop": 679, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "India", "fertility": 4.15, "life_expect": 58.553, "pop": 755, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "India", "fertility": 3.8648, "life_expect": 60.223, "pop": 839, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "India", "fertility": 3.4551, "life_expect": 61.765, "pop": 927, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "India", "fertility": 3.1132, "life_expect": 62.879, "pop": 1008, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "India", "fertility": 2.8073, "life_expect": 64.698, "pop": 1080, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.672, "life_expect": 39.918, "pop": 87, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.62, "life_expect": 42.518, "pop": 95, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.568, "life_expect": 45.964, "pop": 105, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Indonesia", "fertility": 5.3, "life_expect": 49.203, "pop": 116, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Indonesia", "fertility": 4.73, "life_expect": 52.702, "pop": 130, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Indonesia", "fertility": 4.109, "life_expect": 56.159, "pop": 147, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Indonesia", "fertility": 3.4, "life_expect": 60.137, "pop": 163, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.9, "life_expect": 62.681, "pop": 178, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.55, "life_expect": 66.041, "pop": 195, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.3761, "life_expect": 68.588, "pop": 206, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Indonesia", "fertility": 2.182, "life_expect": 70.65, "pop": 218, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 5, "country": "Iran", "fertility": 7, "life_expect": 47.181, "pop": 19, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Iran", "fertility": 7, "life_expect": 49.325, "pop": 22, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Iran", "fertility": 6.8, "life_expect": 52.469, "pop": 25, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Iran", "fertility": 6.4, "life_expect": 55.234, "pop": 29, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Iran", "fertility": 6.5, "life_expect": 57.702, "pop": 33, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Iran", "fertility": 6.63, "life_expect": 59.62, "pop": 40, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Iran", "fertility": 5.62, "life_expect": 63.04, "pop": 48, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Iran", "fertility": 4.328, "life_expect": 65.742, "pop": 57, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Iran", "fertility": 2.534, "life_expect": 68.042, "pop": 62, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Iran", "fertility": 2.124, "life_expect": 69.451, "pop": 66, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Iran", "fertility": 2.04, "life_expect": 70.964, "pop": 68, "region": "Middle East", "year": 2005 }, { "cluster": 5, "country": "Iraq", "fertility": 7.3, "life_expect": 48.437, "pop": 6, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Iraq", "fertility": 7.25, "life_expect": 51.457, "pop": 7, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Iraq", "fertility": 7.2, "life_expect": 54.459, "pop": 8, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Iraq", "fertility": 7.15, "life_expect": 56.95, "pop": 9, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Iraq", "fertility": 6.8, "life_expect": 60.413, "pop": 11, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Iraq", "fertility": 6.35, "life_expect": 62.038, "pop": 13, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Iraq", "fertility": 6.15, "life_expect": 65.044, "pop": 16, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Iraq", "fertility": 5.7, "life_expect": 59.461, "pop": 18, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Iraq", "fertility": 5.37, "life_expect": 58.811, "pop": 20, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Iraq", "fertility": 4.858, "life_expect": 57.046, "pop": 23, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Iraq", "fertility": 4.264, "life_expect": 59.545, "pop": 26, "region": "Middle East", "year": 2005 }, { "cluster": 5, "country": "Israel", "fertility": 3.893, "life_expect": 67.84, "pop": 2, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Israel", "fertility": 3.852, "life_expect": 69.39, "pop": 2, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Israel", "fertility": 3.79, "life_expect": 70.75, "pop": 3, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Israel", "fertility": 3.77, "life_expect": 71.63, "pop": 3, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Israel", "fertility": 3.409, "life_expect": 73.06, "pop": 3, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Israel", "fertility": 3.125, "life_expect": 74.45, "pop": 4, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Israel", "fertility": 3.051, "life_expect": 75.6, "pop": 4, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Israel", "fertility": 2.933, "life_expect": 76.93, "pop": 5, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Israel", "fertility": 2.942, "life_expect": 78.269, "pop": 5, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Israel", "fertility": 2.906, "life_expect": 79.696, "pop": 6, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Israel", "fertility": 2.75, "life_expect": 80.745, "pop": 6, "region": "Middle East", "year": 2005 }, { "cluster": 1, "country": "Italy", "fertility": 2.35, "life_expect": 67.81, "pop": 49, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Italy", "fertility": 2.498, "life_expect": 69.24, "pop": 50, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Italy", "fertility": 2.493, "life_expect": 71.06, "pop": 52, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Italy", "fertility": 2.325, "life_expect": 72.19, "pop": 54, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Italy", "fertility": 1.889, "life_expect": 73.48, "pop": 56, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Italy", "fertility": 1.53, "life_expect": 74.98, "pop": 56, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Italy", "fertility": 1.349, "life_expect": 76.42, "pop": 57, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Italy", "fertility": 1.275, "life_expect": 77.44, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Italy", "fertility": 1.213, "life_expect": 78.82, "pop": 57, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Italy", "fertility": 1.286, "life_expect": 80.24, "pop": 58, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Italy", "fertility": 1.379, "life_expect": 80.546, "pop": 58, "region": "Europe", "year": 2005 }, { "cluster": 4, "country": "Japan", "fertility": 2.08, "life_expect": 65.5, "pop": 90, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Japan", "fertility": 2.02, "life_expect": 68.73, "pop": 94, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Japan", "fertility": 2, "life_expect": 71.43, "pop": 99, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Japan", "fertility": 2.07, "life_expect": 73.42, "pop": 104, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Japan", "fertility": 1.81, "life_expect": 75.38, "pop": 112, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Japan", "fertility": 1.76, "life_expect": 77.11, "pop": 117, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Japan", "fertility": 1.6600000000000001, "life_expect": 78.67, "pop": 121, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Japan", "fertility": 1.49, "life_expect": 79.36, "pop": 124, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Japan", "fertility": 1.3900000000000001, "life_expect": 80.69, "pop": 125, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Japan", "fertility": 1.291, "life_expect": 82, "pop": 127, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Japan", "fertility": 1.27, "life_expect": 82.603, "pop": 127, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 2, "country": "Kenya", "fertility": 7.816, "life_expect": 44.686, "pop": 7, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Kenya", "fertility": 8.12, "life_expect": 47.949, "pop": 8, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Kenya", "fertility": 8.12, "life_expect": 50.654, "pop": 10, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Kenya", "fertility": 8, "life_expect": 53.559, "pop": 11, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Kenya", "fertility": 7.6, "life_expect": 56.155, "pop": 13, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Kenya", "fertility": 7.2, "life_expect": 58.766, "pop": 16, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Kenya", "fertility": 6.5, "life_expect": 59.339, "pop": 20, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Kenya", "fertility": 5.4, "life_expect": 59.285, "pop": 23, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Kenya", "fertility": 5, "life_expect": 54.407, "pop": 27, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Kenya", "fertility": 5, "life_expect": 50.992, "pop": 30, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Kenya", "fertility": 4.959, "life_expect": 54.11, "pop": 34, "region": "Africa", "year": 2005 }, { "cluster": 3, "country": "Mexico", "fertility": 6.8, "life_expect": 55.19, "pop": 33, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "Mexico", "fertility": 6.7495, "life_expect": 58.299, "pop": 39, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "Mexico", "fertility": 6.7495, "life_expect": 60.11, "pop": 45, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "Mexico", "fertility": 6.5, "life_expect": 62.361, "pop": 53, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "Mexico", "fertility": 5.2505, "life_expect": 65.032, "pop": 61, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "Mexico", "fertility": 4.25, "life_expect": 67.405, "pop": 68, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "Mexico", "fertility": 3.6295, "life_expect": 69.498, "pop": 77, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "Mexico", "fertility": 3.1905, "life_expect": 71.455, "pop": 85, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "Mexico", "fertility": 2.6705, "life_expect": 73.67, "pop": 93, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "Mexico", "fertility": 2.4005, "life_expect": 74.902, "pop": 100, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "Mexico", "fertility": 2.211, "life_expect": 76.195, "pop": 106, "region": "Americas", "year": 2005 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 37.802, "pop": 35, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 39.36, "pop": 40, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 41.04, "pop": 45, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 42.821, "pop": 51, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 44.514, "pop": 59, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.9, "life_expect": 45.826, "pop": 69, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.834, "life_expect": 46.886, "pop": 78, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.635, "life_expect": 47.472, "pop": 89, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Nigeria", "fertility": 6.246, "life_expect": 47.464, "pop": 101, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Nigeria", "fertility": 5.845, "life_expect": 46.608, "pop": 114, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Nigeria", "fertility": 5.322, "life_expect": 46.859, "pop": 129, "region": "Africa", "year": 2005 }, { "cluster": 4, "country": "North Korea", "fertility": 6.332, "life_expect": 52.681, "pop": 22, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "North Korea", "fertility": 5.63, "life_expect": 55.292, "pop": 25, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "North Korea", "fertility": 4.708, "life_expect": 57.716, "pop": 29, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "North Korea", "fertility": 4.281, "life_expect": 62.612, "pop": 32, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "North Korea", "fertility": 2.919, "life_expect": 64.766, "pop": 35, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "North Korea", "fertility": 2.234, "life_expect": 67.123, "pop": 38, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "North Korea", "fertility": 1.601, "life_expect": 69.81, "pop": 41, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "North Korea", "fertility": 1.6960000000000002, "life_expect": 72.244, "pop": 43, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "North Korea", "fertility": 1.514, "life_expect": 74.647, "pop": 45, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "North Korea", "fertility": 1.242, "life_expect": 77.045, "pop": 47, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "North Korea", "fertility": 1.21, "life_expect": 78.623, "pop": 49, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 45.557, "pop": 44, "region": "Indian Subcontinent", "year": 1955 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 47.67, "pop": 50, "region": "Indian Subcontinent", "year": 1960 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 49.8, "pop": 57, "region": "Indian Subcontinent", "year": 1965 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 51.929, "pop": 66, "region": "Indian Subcontinent", "year": 1970 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 54.043, "pop": 75, "region": "Indian Subcontinent", "year": 1975 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.6, "life_expect": 56.158, "pop": 85, "region": "Indian Subcontinent", "year": 1980 }, { "cluster": 0, "country": "Pakistan", "fertility": 6.66, "life_expect": 58.245, "pop": 99, "region": "Indian Subcontinent", "year": 1985 }, { "cluster": 0, "country": "Pakistan", "fertility": 5.8, "life_expect": 60.838, "pop": 115, "region": "Indian Subcontinent", "year": 1990 }, { "cluster": 0, "country": "Pakistan", "fertility": 4.9596, "life_expect": 61.818, "pop": 129, "region": "Indian Subcontinent", "year": 1995 }, { "cluster": 0, "country": "Pakistan", "fertility": 3.9936, "life_expect": 63.61, "pop": 146, "region": "Indian Subcontinent", "year": 2000 }, { "cluster": 0, "country": "Pakistan", "fertility": 3.5211, "life_expect": 65.483, "pop": 162, "region": "Indian Subcontinent", "year": 2005 }, { "cluster": 4, "country": "Philippines", "fertility": 7.13, "life_expect": 51.334, "pop": 25, "region": "Asia/Pacific", "year": 1955 }, { "cluster": 4, "country": "Philippines", "fertility": 6.85, "life_expect": 54.757, "pop": 29, "region": "Asia/Pacific", "year": 1960 }, { "cluster": 4, "country": "Philippines", "fertility": 6.5, "life_expect": 56.393, "pop": 33, "region": "Asia/Pacific", "year": 1965 }, { "cluster": 4, "country": "Philippines", "fertility": 6, "life_expect": 58.065, "pop": 39, "region": "Asia/Pacific", "year": 1970 }, { "cluster": 4, "country": "Philippines", "fertility": 5.5, "life_expect": 60.06, "pop": 44, "region": "Asia/Pacific", "year": 1975 }, { "cluster": 4, "country": "Philippines", "fertility": 4.95, "life_expect": 62.082, "pop": 51, "region": "Asia/Pacific", "year": 1980 }, { "cluster": 4, "country": "Philippines", "fertility": 4.55, "life_expect": 64.151, "pop": 57, "region": "Asia/Pacific", "year": 1985 }, { "cluster": 4, "country": "Philippines", "fertility": 4.143, "life_expect": 66.458, "pop": 64, "region": "Asia/Pacific", "year": 1990 }, { "cluster": 4, "country": "Philippines", "fertility": 3.7248, "life_expect": 68.564, "pop": 72, "region": "Asia/Pacific", "year": 1995 }, { "cluster": 4, "country": "Philippines", "fertility": 3.5436, "life_expect": 70.303, "pop": 80, "region": "Asia/Pacific", "year": 2000 }, { "cluster": 4, "country": "Philippines", "fertility": 3.2327, "life_expect": 71.688, "pop": 88, "region": "Asia/Pacific", "year": 2005 }, { "cluster": 2, "country": "Rwanda", "fertility": 8, "life_expect": 41.5, "pop": 3, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.1, "life_expect": 43, "pop": 3, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.2, "life_expect": 44.1, "pop": 3, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.29, "life_expect": 44.6, "pop": 4, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.492, "life_expect": 45, "pop": 4, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.5, "life_expect": 46.218, "pop": 5, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "Rwanda", "fertility": 8.25, "life_expect": 44.02, "pop": 6, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.9, "life_expect": 23.599, "pop": 7, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.0993, "life_expect": 36.087, "pop": 6, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "Rwanda", "fertility": 6.01, "life_expect": 43.413, "pop": 8, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "Rwanda", "fertility": 5.9169, "life_expect": 46.242, "pop": 8, "region": "Africa", "year": 2005 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.175, "life_expect": 42.868, "pop": 4, "region": "Middle East", "year": 1955 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.257, "life_expect": 45.914, "pop": 5, "region": "Middle East", "year": 1960 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.257, "life_expect": 49.901, "pop": 5, "region": "Middle East", "year": 1965 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.298, "life_expect": 53.886, "pop": 6, "region": "Middle East", "year": 1970 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.2780000000000005, "life_expect": 58.69, "pop": 7, "region": "Middle East", "year": 1975 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 7.015, "life_expect": 63.012, "pop": 10, "region": "Middle East", "year": 1980 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 6.217, "life_expect": 66.295, "pop": 13, "region": "Middle East", "year": 1985 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 5.446, "life_expect": 68.768, "pop": 16, "region": "Middle East", "year": 1990 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 4.621, "life_expect": 70.533, "pop": 20, "region": "Middle East", "year": 1995 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 3.81, "life_expect": 71.626, "pop": 23, "region": "Middle East", "year": 2000 }, { "cluster": 5, "country": "Saudi Arabia", "fertility": 3.352, "life_expect": 72.777, "pop": 26, "region": "Middle East", "year": 2005 }, { "cluster": 2, "country": "South Africa", "fertility": 6.5, "life_expect": 47.985, "pop": 15, "region": "Africa", "year": 1955 }, { "cluster": 2, "country": "South Africa", "fertility": 6.3, "life_expect": 49.951, "pop": 17, "region": "Africa", "year": 1960 }, { "cluster": 2, "country": "South Africa", "fertility": 5.7, "life_expect": 51.927, "pop": 20, "region": "Africa", "year": 1965 }, { "cluster": 2, "country": "South Africa", "fertility": 5.47, "life_expect": 53.696, "pop": 23, "region": "Africa", "year": 1970 }, { "cluster": 2, "country": "South Africa", "fertility": 5, "life_expect": 55.527, "pop": 26, "region": "Africa", "year": 1975 }, { "cluster": 2, "country": "South Africa", "fertility": 4.556, "life_expect": 58.161, "pop": 29, "region": "Africa", "year": 1980 }, { "cluster": 2, "country": "South Africa", "fertility": 3.85, "life_expect": 60.834, "pop": 34, "region": "Africa", "year": 1985 }, { "cluster": 2, "country": "South Africa", "fertility": 3.343, "life_expect": 61.888, "pop": 38, "region": "Africa", "year": 1990 }, { "cluster": 2, "country": "South Africa", "fertility": 2.954, "life_expect": 60.236, "pop": 42, "region": "Africa", "year": 1995 }, { "cluster": 2, "country": "South Africa", "fertility": 2.802, "life_expect": 53.365, "pop": 44, "region": "Africa", "year": 2000 }, { "cluster": 2, "country": "South Africa", "fertility": 2.637, "life_expect": 49.339, "pop": 44, "region": "Africa", "year": 2005 }, { "cluster": 1, "country": "Turkey", "fertility": 6.6, "life_expect": 48.079, "pop": 24, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "Turkey", "fertility": 6.19, "life_expect": 52.098, "pop": 28, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "Turkey", "fertility": 5.7, "life_expect": 54.336, "pop": 32, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "Turkey", "fertility": 5.3, "life_expect": 57.005, "pop": 36, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "Turkey", "fertility": 4.715, "life_expect": 59.507, "pop": 41, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "Turkey", "fertility": 4.15, "life_expect": 61.036, "pop": 45, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "Turkey", "fertility": 3.276, "life_expect": 63.108, "pop": 51, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "Turkey", "fertility": 2.904, "life_expect": 66.146, "pop": 56, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "Turkey", "fertility": 2.574, "life_expect": 68.835, "pop": 61, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "Turkey", "fertility": 2.23, "life_expect": 70.845, "pop": 66, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "Turkey", "fertility": 2.143, "life_expect": 71.777, "pop": 70, "region": "Europe", "year": 2005 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.49, "life_expect": 70.42, "pop": 51, "region": "Europe", "year": 1955 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.81, "life_expect": 70.76, "pop": 52, "region": "Europe", "year": 1960 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.52, "life_expect": 71.36, "pop": 54, "region": "Europe", "year": 1965 }, { "cluster": 1, "country": "United Kingdom", "fertility": 2.04, "life_expect": 72.01, "pop": 56, "region": "Europe", "year": 1970 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.72, "life_expect": 72.76, "pop": 56, "region": "Europe", "year": 1975 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.8, "life_expect": 74.04, "pop": 56, "region": "Europe", "year": 1980 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.81, "life_expect": 75.007, "pop": 57, "region": "Europe", "year": 1985 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.78, "life_expect": 76.42, "pop": 57, "region": "Europe", "year": 1990 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.7000000000000002, "life_expect": 77.218, "pop": 58, "region": "Europe", "year": 1995 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.695, "life_expect": 78.471, "pop": 60, "region": "Europe", "year": 2000 }, { "cluster": 1, "country": "United Kingdom", "fertility": 1.815, "life_expect": 79.425, "pop": 60, "region": "Europe", "year": 2005 }, { "cluster": 3, "country": "United States", "fertility": 3.706, "life_expect": 69.49, "pop": 166, "region": "Americas", "year": 1955 }, { "cluster": 3, "country": "United States", "fertility": 3.314, "life_expect": 70.21, "pop": 181, "region": "Americas", "year": 1960 }, { "cluster": 3, "country": "United States", "fertility": 2.545, "life_expect": 70.76, "pop": 194, "region": "Americas", "year": 1965 }, { "cluster": 3, "country": "United States", "fertility": 2.016, "life_expect": 71.34, "pop": 205, "region": "Americas", "year": 1970 }, { "cluster": 3, "country": "United States", "fertility": 1.788, "life_expect": 73.38, "pop": 216, "region": "Americas", "year": 1975 }, { "cluster": 3, "country": "United States", "fertility": 1.8250000000000002, "life_expect": 74.65, "pop": 228, "region": "Americas", "year": 1980 }, { "cluster": 3, "country": "United States", "fertility": 1.924, "life_expect": 75.02, "pop": 238, "region": "Americas", "year": 1985 }, { "cluster": 3, "country": "United States", "fertility": 2.025, "life_expect": 76.09, "pop": 250, "region": "Americas", "year": 1990 }, { "cluster": 3, "country": "United States", "fertility": 1.994, "life_expect": 76.81, "pop": 267, "region": "Americas", "year": 1995 }, { "cluster": 3, "country": "United States", "fertility": 2.038, "life_expect": 77.31, "pop": 282, "region": "Americas", "year": 2000 }, { "cluster": 3, "country": "United States", "fertility": 2.054, "life_expect": 78.242, "pop": 296, "region": "Americas", "year": 2005 } ] }, "layer": [ { "encoding": { "color": { "condition": { "field": "region", "selection": "selector003", "type": "nominal" }, "value": "grey" }, "detail": { "field": "country", "type": "nominal" }, "opacity": { "condition": { "selection": "selector003", "value": 1 }, "value": 0.2 }, "order": { "field": "year", "type": "quantitative" }, "x": { "field": "life_expect", "type": "quantitative" }, "y": { "field": "fertility", "type": "quantitative" } }, "mark": "line" }, { "encoding": { "color": { "condition": { "field": "region", "selection": "selector003", "type": "nominal" }, "value": "grey" }, "opacity": { "condition": { "selection": "selector003", "value": 1 }, "value": 0.15 }, "size": { "field": "pop", "scale": { "range": [ 10, 300 ] }, "type": "quantitative" }, "tooltip": [ { "field": "country", "type": "nominal" }, { "field": "region", "type": "nominal" }, { "field": "pop", "type": "quantitative" }, { "field": "fertility", "type": "quantitative" }, { "field": "life_expect", "type": "quantitative" }, { "field": "year", "type": "quantitative" } ], "x": { "field": "life_expect", "type": "quantitative" }, "y": { "field": "fertility", "type": "quantitative" } }, "mark": "circle", "selection": { "selector003": { "fields": [ "country" ], "type": "single" } } } ] }, "image/png": "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", "text/plain": [ "<VegaLite 3 object>\n", "\n", "If you see this message, it means the renderer has not been properly enabled\n", "for the frontend that you are using. For more information, see\n", "https://altair-viz.github.io/user_guide/troubleshooting.html\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# go back to version without faceting, add interactive selection to show trajectories\n", "# (code duplication could be greatly reduced by defining a base chart with common attributes)\n", "\n", "sel = alt.selection(type='single', fields=['country']) # define a single selection\n", "\n", "circles = alt.Chart(\n", " df\n", ").mark_circle(\n", ").encode(\n", " x='life_expect',\n", " y='fertility',\n", " color=alt.condition(sel, 'region:N', alt.value(\"grey\")), # condition the color on the selection\n", " opacity=alt.condition(sel, alt.value(1), alt.value(0.15)), # condition the opacity on the selection\n", " size=alt.Size('pop', scale=alt.Scale(range=[10, 300])),\n", " tooltip=['country', 'region', 'pop', 'fertility', 'life_expect', 'year']\n", ").add_selection(sel)\n", "\n", "lines = alt.Chart(\n", " df\n", ").mark_line(\n", ").encode(\n", " x='life_expect',\n", " y='fertility',\n", " color=alt.condition(sel, 'region:N', alt.value(\"grey\")), # same line as above\n", " opacity=alt.condition(sel, alt.value(1), alt.value(0.2)), # same line as above\n", " order='year',\n", " detail='country'\n", ")\n", "\n", "(lines + circles).display()" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "# save an html version of that chart\n", "(lines + circles).save('output/interactive_live_demo.html')" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 4 }