This chart compares the BRIC countries (Brazil, Russia, India and China) with a new group of upstarts, MIST (Mexico, Indonesia, South Korea, Turkey). The data are from the World Bank. It was my attempt to achieve object constancy for multiple sets of time series data. I used d3.nest() to sort one big CSV file based on each economic indicator, then used d3.key() on the header row (the countries) to make ensure constancy. Check the boxes at the top to highlight the country groups. An interpretation of this visual can be found on my website.
<!DOCTYPE html>
<html>
<head>
<title>Mist vs Brics</title>
<script type="text/javascript" src="//d3js.org/d3.v2.min.js"></script>
<style type="text/css">
body {
font: 12px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.x.axis path {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.line {
fill: none;
stroke-width: 7px;
}
.country {opacity: 0.3;}
.country:hover {opacity:1;}
</style>
</head>
<body>
<div>
<input type="checkbox" id="bric" onclick="briclight()">BRICs</input>
<input type="checkbox" id="mist" onclick="mistlight()">MIST</input>
</div>
<p id="menu"><b>MIST vs BRICS</b><br>Select series: <select>
<option value="GDPPC">GDP per capita (current US$)</option>
<option value="GDPG">GDP growth (annual %)</option>
<option value="URBPOP">Urban population (% of total)</option>
<option value="POPTOT">Population, total (,000,000)</option>
<option value="INFMORT">Mortality rate, infant (per 1,000 live births)</option>
<option value="LIFEEXP">Life expectancy at birth, total (years)</option>
<option value="ENEUSE">Energy use (kg of oil equivalent per capita)</option></select>
<script type="text/javascript">
// set the stage for the visualization
var margin = {top: 20, right: 80, bottom: 30, left: 50},
w = 660 - margin.left - margin.right,
h = 400 - margin.top - margin.bottom,
x = d3.time.scale().range([0, w]),
y = d3.scale.linear().range([h, 0]);
parseDate = d3.time.format("%Y").parse;
var color = d3.scale.category10(); // to generate a different color for each line
// to be used later
var countries,
filtered,
transpose;
// where the line gets its properties, how it will be interpolated
var line = d3.svg.line()
.interpolate("basis")
.x(function(d) { return x(d.year); })
.y(function(d) { return y(d.stat); });
// add svg box where viz will go
var svg = d3.select("body").append("svg")
.attr("width", w + margin.left + margin.right)
.attr("height", h + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
// define the x axis and its class, append it to svg
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
svg.append("svg:g")
.attr("class", "x axis");
// define the y axis and its class, append it to svg
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
svg.append("svg:g")
.attr("class", "y axis");
// force data to update when menu is changed
var menu = d3.select("#menu select")
.on("change", change);
// put data from csv into countries variable
//run redraw function that will refresh whenever a new data series is selected
d3.csv("brics-mist.csv", function(csv) {
countries = csv;
redraw();
});
d3.select(window)
.on("keydown", function() { altKey = d3.event.altKey; })
.on("keyup", function() { altKey = false; });
var altKey;
// set terms of transition that will take place
// when a new economic indicator is chosen
function change() {
clearTimeout(timeout);
d3.transition()
.duration(altKey ? 7500 : 1500)
.each(redraw);
}
// all the meat goes in the redraw function
function redraw() {
// create data nests based on economic indicator (series)
var nested = d3.nest()
.key(function(d) { return d.indicatorCode; })
.map(countries)
// get value from menu selection
// the option values are set in HTML and correspond
//to the [indicatorCode] value we used to nest the data
var series = menu.property("value");
// only retrieve data from the selected series, using the nest we just created
var data = nested[series];
// for object constancy we will need to set "keys", one for each country.
// the keyring variable contains only the names of the countries
var keyring = d3.keys(data[0]).filter(function(key) {
return (key !== "indicatorName" && key !== "yearCode" && key !== "indicatorCode" && key !== "year");
});
// get the year and related statistics, map them to each country separately
var transpose = keyring.map(function(name) {
return {
name: name,
values: data.map(function(d) {
return {year: parseDate(d.year), stat: +d[name]};
})
};
});
// set the x and y domains as the max and min
// of the related year and statistics, respectively
x.domain([
d3.min(transpose, function(c) { return d3.min(c.values, function(v) { return v.year; }); }),
d3.max(transpose, function(c) { return d3.max(c.values, function(v) { return v.year; }); })
]);
y.domain([
d3.min(transpose, function(c) { return d3.min(c.values, function(v) { return v.stat; }); }),
d3.max(transpose, function(c) { return d3.max(c.values, function(v) { return v.stat; }); })
]);
// announce to d3 that we will be using something called
// "country" that makes use of the transposed data
var country = svg.selectAll(".country")
.data(transpose);
// create separate groups for each country
// assign them a class and individual IDs (for styling)
var countryEnter = country.enter().append("g")
.attr("class", "country")
.attr("id", function(d) { return d.name; });
// draw the lines and color them according to their names
countryEnter.append("path")
.attr("class", "line")
.attr("d", function(d) { return line(d.values); })
.style("stroke", function(d) { return color(d.name); });
// create lables for each country
// set their position to that of the last year and stat
countryEnter.append("text")
.attr("class", "names")
.datum(function(d) { return {name: d.name, value: d.values[d.values.length - 1]}; })
.attr("transform", function(d) { return "translate(" + x(d.value.year) + "," + y(d.value.stat) + ")"; })
.attr("x", 4)
.attr("dy", ".35em")
.text(function(d) { return d.name; });
// set variable for updating visualization
var countryUpdate = d3.transition(country);
// change values of path to those of the new series
countryUpdate.select("path")
.attr("d", function(d) { return line(d.values); });
// change position of text alongside the moving path
countryUpdate.select("text")
.attr("transform", function(d) { return "translate(" + x(d.values[d.values.length - 1].year) + "," + y(d.values[d.values.length - 1].stat) + ")"; });
// update the axes, though only the y axis will change
d3.transition(svg).select(".y.axis")
.call(yAxis);
d3.transition(svg).select(".x.axis")
.attr("transform", "translate(0," + h + ")")
.call(xAxis);
// that concludes redraw()
}
// automatically change value after a few seconds
var timeout = setTimeout(function() {
menu.property("value", "ENEUSE").node().focus();
change();
}, 7000);
// ugly javascript for highlighting the two groups of countries
function briclight() {
var chkbox = document.getElementById("bric");
if (chkbox.checked) {
document.getElementById("China").style.cssText = "opacity:1;",
document.getElementById("Brazil").style.cssText = "opacity:1;",
document.getElementById("India").style.cssText = "opacity:1;",
document.getElementById("Russia").style.cssText = "opacity:1;"
} else {
document.getElementById("China").style.cssText = "",
document.getElementById("Brazil").style.cssText = "",
document.getElementById("India").style.cssText = "",
document.getElementById("Russia").style.cssText = "";
}};
function mistlight() {
var chkbox = document.getElementById("mist")
if (chkbox.checked) {
document.getElementById("Mexico").style.cssText = "opacity:1;",
document.getElementById("Indonesia").style.cssText = "opacity:1;",
document.getElementById("S Korea").style.cssText = "opacity:1;",
document.getElementById("Turkey").style.cssText = "opacity:1;"
} else {
document.getElementById("Mexico").style.cssText = "",
document.getElementById("Indonesia").style.cssText = "",
document.getElementById("S Korea").style.cssText = "",
document.getElementById("Turkey").style.cssText = "";
}};
// done!
</script>
</body>
</html>indicatorName,indicatorCode,year,yearCode,Brazil,Russia,India,Indonesia,China,Mexico,S Korea,Turkey
GDP per capita (current US$),GDPPC,1992,YR1992,2526.596184,3095.08716,322.243454,730.2214455,362.808414,4154.426906,7555.272527,2840.368021
GDP per capita (current US$),GDPPC,1993,YR1993,2791.968684,2929.303282,306.1686498,816.464647,373.8000229,4524.709377,8219.896199,3167.52691
GDP per capita (current US$),GDPPC,1994,YR1994,3426.840162,2663.456988,351.8848828,900.2674297,469.2131942,4650.114233,9525.43563,2256.731126
GDP per capita (current US$),GDPPC,1995,YR1995,4751.065263,2669.946123,380.0984013,1013.699545,604.2280606,3107.073918,11467.81385,2879.248308
GDP per capita (current US$),GDPPC,1996,YR1996,5109.348611,2651.442018,406.8857207,1124.16197,703.1207994,3546.928961,12249.17315,3033.593361
GDP per capita (current US$),GDPPC,1997,YR1997,5220.856542,2748.917437,422.9243667,1052.107705,774.467161,4206.564036,11234.777,3123.142513
GDP per capita (current US$),GDPPC,1998,YR1998,4980.980645,1844.485782,420.9653204,459.2276532,820.8630768,4342.334118,7462.838645,4361.442138
GDP per capita (current US$),GDPPC,1999,YR1999,3413.259971,1338.986444,448.0969889,664.7397402,864.7303144,4884.625014,9554.439443,3983.746202
GDP per capita (current US$),GDPPC,2000,YR2000,3696.146772,1775.141291,450.4151061,773.3109699,949.1780621,5816.614481,11346.66499,4189.478062
GDP per capita (current US$),GDPPC,2001,YR2001,3129.755456,2100.743786,459.5766355,742.1107816,1041.637704,6139.301715,10654.93555,3036.72709
GDP per capita (current US$),GDPPC,2002,YR2002,2812.334223,2375.162934,480.2069446,893.3199025,1135.44795,6324.167505,12093.7573,3553.066261
GDP per capita (current US$),GDPPC,2003,YR2003,3041.677796,2976.137049,558.4416044,1058.299984,1273.640743,6740.20548,13451.22942,4567.499135
GDP per capita (current US$),GDPPC,2004,YR2004,3609.875507,4108.574488,642.556503,1143.496951,1490.380056,7223.869614,15028.94015,5832.689345
GDP per capita (current US$),GDPPC,2005,YR2005,4743.264112,5337.065324,731.7417369,1257.653396,1731.125235,7972.553641,17550.85389,7087.720249
GDP per capita (current US$),GDPPC,2006,YR2006,5793.400957,6946.880998,820.2983339,1585.650791,2069.343631,8830.844748,19676.12418,7687.125651
GDP per capita (current US$),GDPPC,2007,YR2007,7197.031306,9146.41636,1055.136489,1859.302639,2651.260121,9484.731556,21590.10558,9246.030405
GDP per capita (current US$),GDPPC,2008,YR2008,8628.952841,11700.22112,1027.906574,2171.7048,3413.588661,9893.414594,19028.01293,10297.50544
GDP per capita (current US$),GDPPC,2009,YR2009,8391.668592,8615.658757,1126.945129,2272.733849,3748.934494,7875.820872,16958.65239,8553.741453
GDP growth (annual %),GDPG,1992,YR1992,-0.466914924,-14.53107377,5.482396022,7.220501604,14.2,3.628658714,5.875692913,5.035634937
GDP growth (annual %),GDPG,1993,YR1993,4.665150948,-8.668540342,4.75077622,7.254075412,14,1.950524635,6.133784559,7.651265191
GDP growth (annual %),GDPG,1994,YR1994,5.334359877,-12.56975598,6.658924067,7.540066679,13.1,4.45825813,8.536515143,-4.668147359
GDP growth (annual %),GDPG,1995,YR1995,4.416831993,-4.143528407,7.57449184,8.396358045,10.9,-6.21798676,9.168945016,7.878266876
GDP growth (annual %),GDPG,1996,YR1996,2.15,-3.6,7.549522249,7.642786284,10,5.139827628,6.998620422,7.379664476
GDP growth (annual %),GDPG,1997,YR1997,3.374938815,1.4,4.049820849,4.699872542,9.3,6.77554931,4.650956192,7.577663648
GDP growth (annual %),GDPG,1998,YR1998,0.037879685,-5.3,6.184415821,-13.12672393,7.8,4.90652571,-6.854459178,2.308214655
GDP growth (annual %),GDPG,1999,YR1999,0.250857887,6.4,8.463070837,0.791129836,7.6,3.873255441,9.486322915,-3.365344813
GDP growth (annual %),GDPG,2000,YR2000,4.308208022,10,3.975052681,4.920064597,8.4,6.601984351,8.486194114,6.774455167
GDP growth (annual %),GDPG,2001,YR2001,1.3103698,5.091984231,4.944226371,3.643466447,8.3,-0.156984194,3.973478758,-5.697476762
GDP growth (annual %),GDPG,2002,YR2002,2.658326818,4.743669897,3.90753397,4.499475391,9.1,0.826684579,7.150017515,6.163839762
GDP growth (annual %),GDPG,2003,YR2003,1.149135078,7.295854331,7.943994604,4.780369122,10,1.35152863,2.802775924,5.265264614
GDP growth (annual %),GDPG,2004,YR2004,5.712292376,7.175949193,7.848801189,5.030873945,10.1,4.05343933,4.619020379,9.362808855
GDP growth (annual %),GDPG,2005,YR2005,3.159673613,6.376187027,9.284873369,5.692571304,11.3,3.205432102,3.957153703,8.401617472
GDP growth (annual %),GDPG,2006,YR2006,3.95536037,8.153431973,9.263968273,5.500951785,12.7,5.150152031,5.178684919,6.893488998
GDP growth (annual %),GDPG,2007,YR2007,6.09154395,8.535080209,9.801345167,6.345022245,14.2,3.260246799,5.105823972,4.668579111
GDP growth (annual %),GDPG,2008,YR2008,5.171269363,5.247953532,3.890968295,6.013702503,9.6,1.190604448,2.298376031,0.658839041
GDP growth (annual %),GDPG,2009,YR2009,-0.32824804,-7.832127463,8.238228401,4.628874078,9.2,-6.24059748,0.319499625,-4.825875295
Urban population (% of total),URBPOP,1992,YR1992,75.3972,73.3852,25.971,32.572,28.2496,72.1986,75.602,60.371
Urban population (% of total),URBPOP,1993,YR1993,76.1348,73.3808,26.183,33.566,29.1534,72.5884,76.481,60.955
Urban population (% of total),URBPOP,1994,YR1994,76.8724,73.3764,26.395,34.56,30.0572,72.9782,77.36,61.539
Urban population (% of total),URBPOP,1995,YR1995,77.61,73.372,26.607,35.554,30.961,73.368,78.239,62.123
Urban population (% of total),URBPOP,1996,YR1996,78.3264,73.3676,26.819,36.8436,31.9442,73.6388,78.5154,62.6466
Urban population (% of total),URBPOP,1997,YR1997,79.0428,73.3632,27.031,38.1332,32.9274,73.9096,78.7918,63.1702
Urban population (% of total),URBPOP,1998,YR1998,79.7592,73.3588,27.243,39.4228,33.9106,74.1804,79.0682,63.6938
Urban population (% of total),URBPOP,1999,YR1999,80.4756,73.3544,27.455,40.7124,34.8938,74.4512,79.3446,64.2174
Urban population (% of total),URBPOP,2000,YR2000,81.192,73.35,27.667,42.002,35.877,74.722,79.621,64.741
Urban population (% of total),URBPOP,2001,YR2001,81.5204,73.266,27.9806,42.789,37.206,75.0392,79.9658,65.161
Urban population (% of total),URBPOP,2002,YR2002,81.8488,73.182,28.2942,43.576,38.535,75.3564,80.3106,65.581
Urban population (% of total),URBPOP,2003,YR2003,82.1772,73.098,28.6078,44.363,39.864,75.6736,80.6554,66.001
Urban population (% of total),URBPOP,2004,YR2004,82.5056,73.014,28.9214,45.15,41.193,75.9908,81.0002,66.421
Urban population (% of total),URBPOP,2005,YR2005,82.834,72.93,29.235,45.937,42.522,76.308,81.345,66.841
Urban population (% of total),URBPOP,2006,YR2006,83.1342,73.0744,29.574,46.7344,43.8628,76.6114,81.6626,67.5702
Urban population (% of total),URBPOP,2007,YR2007,83.4344,73.2188,29.913,47.5318,45.2036,76.9148,81.9802,68.2994
Urban population (% of total),URBPOP,2008,YR2008,83.7346,73.3632,30.252,48.3292,46.5444,77.2182,82.2978,69.0286
Urban population (% of total),URBPOP,2009,YR2009,84.0348,73.5076,30.591,49.1266,47.8852,77.5216,82.6154,69.7578
"Population, total (1 million)",POPTOT,1992,YR1992,154.582103,148.689,910.064576,190.512441,1164.97,87.523328,43.663,56.012109
"Population, total (1 million)",POPTOT,1993,YR1993,156.985824,148.52,928.226051,193.525648,1178.44,89.109703,44.056,56.959988
"Population, total (1 million)",POPTOT,1994,YR1994,159.398558,148.336,946.373316,196.488446,1191.835,90.691331,44.453,57.911273
"Population, total (1 million)",POPTOT,1995,YR1995,161.848162,148.141,964.486155,199.400339,1204.855,92.272749,45.093,58.864649
"Population, total (1 million)",POPTOT,1996,YR1996,164.342524,147.739,982.553253,202.257039,1217.55,93.858373,45.525,59.821978
"Population, total (1 million)",POPTOT,1997,YR1997,166.869168,147.304,1000.558144,205.063468,1230.075,95.441345,45.954,60.783217
"Population, total (1 million)",POPTOT,1998,YR1998,169.409713,146.899,1018.471141,207.839287,1241.935,97.001933,46.287,61.742674
"Population, total (1 million)",POPTOT,1999,YR1999,171.936271,146.309,1036.258683,210.610776,1252.735,98.51369,46.617,62.692616
"Population, total (1 million)",POPTOT,2000,YR2000,174.425387,146.303,1053.898107,213.395411,1262.645,99.959594,47.008,63.627862
"Population, total (1 million)",POPTOT,2001,YR2001,176.877135,145.9495803,1071.374264,216.203499,1271.85,101.329543,47.357,64.544914
"Population, total (1 million)",POPTOT,2002,YR2002,179.289227,145.2996903,1088.69408,219.026365,1280.4,102.634153,47.622,65.446165
"Population, total (1 million)",POPTOT,2003,YR2003,181.633074,144.5994467,1105.885689,221.839235,1288.4,103.902569,47.859,66.339433
"Population, total (1 million)",POPTOT,2004,YR2004,183.873377,143.8495742,1122.991192,224.606531,1296.075,105.175967,48.039,67.235927
"Population, total (1 million)",POPTOT,2005,YR2005,185.986964,143.15,1140.042863,227.303175,1303.72,106.483757,48.138,68.143186
"Population, total (1 million)",POPTOT,2006,YR2006,187.958211,142.5,1157.038539,229.918547,1311.02,107.835259,48.372,69.063538
"Population, total (1 million)",POPTOT,2007,YR2007,189.79807,142.1,1173.971629,232.461746,1317.885,109.220753,48.598,69.992754
"Population, total (1 million)",POPTOT,2008,YR2008,191.543237,141.95,1190.863679,234.951154,1324.655,110.627158,48.949,70.92373
"Population, total (1 million)",POPTOT,2009,YR2009,193.24661,141.91,1207.740408,237.414495,1331.38,112.033369,49.182,71.846212
"Mortality rate, infant (per 1,000 live births)",INFMORT,1992,YR1992,45.9,22.3,77.7,50.1,38.4,35.5,5.7,53.4
"Mortality rate, infant (per 1,000 live births)",INFMORT,1993,YR1993,44.4,22,76.2,48.1,38.1,34.2,5.5,50.4
"Mortality rate, infant (per 1,000 live births)",INFMORT,1994,YR1994,42.8,21.6,74.5,46.5,37.5,32.7,5.4,46.8
"Mortality rate, infant (per 1,000 live births)",INFMORT,1995,YR1995,41,21.2,72.9,44.9,36.3,31.1,5.3,42.9
"Mortality rate, infant (per 1,000 live births)",INFMORT,1996,YR1996,39.1,20.6,71,43.4,35.2,29.7,5.2,39.4
"Mortality rate, infant (per 1,000 live births)",INFMORT,1997,YR1997,36.9,20,69.3,41.5,33.8,28.3,5.1,36.2
"Mortality rate, infant (per 1,000 live births)",INFMORT,1998,YR1998,34.9,19.4,67.6,40,32.1,26.9,5,33.3
"Mortality rate, infant (per 1,000 live births)",INFMORT,1999,YR1999,33,18.7,65.9,38.7,30.3,25.5,5,30.7
"Mortality rate, infant (per 1,000 live births)",INFMORT,2000,YR2000,31.2,17.8,64.2,37.6,28.8,24.1,4.9,28.4
"Mortality rate, infant (per 1,000 live births)",INFMORT,2001,YR2001,29.4,16.9,62.4,36.4,27.1,22.8,4.9,26.1
"Mortality rate, infant (per 1,000 live births)",INFMORT,2002,YR2002,27.7,16.1,60.8,35.1,25.2,21.6,4.8,24.2
"Mortality rate, infant (per 1,000 live births)",INFMORT,2003,YR2003,25.7,15.2,59,33.8,23.5,20.4,4.7,22.3
"Mortality rate, infant (per 1,000 live births)",INFMORT,2004,YR2004,23.8,14.4,57.5,32.5,21.8,19.4,4.6,20.5
"Mortality rate, infant (per 1,000 live births)",INFMORT,2005,YR2005,22,13.7,55.8,31.4,20.3,18.4,4.5,18.9
"Mortality rate, infant (per 1,000 live births)",INFMORT,2006,YR2006,20.4,12.9,54.3,30.2,18.7,17.4,4.4,17.4
"Mortality rate, infant (per 1,000 live births)",INFMORT,2007,YR2007,18.9,12.3,52.9,29,17.4,16.5,4.4,15.9
"Mortality rate, infant (per 1,000 live births)",INFMORT,2008,YR2008,17.5,11.6,51.4,28.1,16.1,15.7,4.3,14.7
"Mortality rate, infant (per 1,000 live births)",INFMORT,2009,YR2009,16.2,10.9,50,26.8,14.9,14.8,4.2,13.6
"Life expectancy at birth, total (years)",LIFEEXP,1992,YR1992,67.13341463,66.87317073,58.8925122,62.88046341,69.86182927,71.58170732,72.20609756,64.2007561
"Life expectancy at birth, total (years)",LIFEEXP,1993,YR1993,67.53680488,64.93585366,59.1864878,63.25453659,70.05463415,71.97419512,72.68195122,64.80021951
"Life expectancy at birth, total (years)",LIFEEXP,1994,YR1994,67.94087805,64.46707317,59.49917073,63.62060976,70.24292683,72.36221951,73.03817073,65.42365854
"Life expectancy at birth, total (years)",LIFEEXP,1995,YR1995,68.34063415,65.22121951,59.83156098,63.97770732,70.42473171,72.73763415,73.39439024,66.07309756
"Life expectancy at birth, total (years)",LIFEEXP,1996,YR1996,68.73156098,66.19414634,60.17860976,64.32780488,70.59902439,73.09429268,73.82109756,66.74597561
"Life expectancy at birth, total (years)",LIFEEXP,1997,YR1997,69.10909756,66.95073171,60.53573171,64.66943902,70.76631707,73.42604878,74.24780488,67.43280488
"Life expectancy at birth, total (years)",LIFEEXP,1998,YR1998,69.4712439,66.78390244,60.89534146,65.00356098,70.92709756,73.73187805,74.81060976,68.11904878
"Life expectancy at birth, total (years)",LIFEEXP,1999,YR1999,69.81446341,66.04365854,61.25587805,65.33070732,71.08339024,74.0132439,75.37341463,68.79473171
"Life expectancy at birth, total (years)",LIFEEXP,2000,YR2000,70.13826829,65.34146341,61.61387805,65.64636585,71.24170732,74.2742439,75.8554878,69.44687805
"Life expectancy at birth, total (years)",LIFEEXP,2001,YR2001,70.43963415,65.48780488,61.96878049,65.94907317,71.40553659,74.52046341,76.33756098,70.064
"Life expectancy at birth, total (years)",LIFEEXP,2002,YR2002,70.72409756,65.08536585,62.32112195,66.23780488,71.57943902,74.76207317,76.82390244,70.63914634
"Life expectancy at birth, total (years)",LIFEEXP,2003,YR2003,70.99614634,65.00756098,62.67095122,66.51653659,71.76487805,75.00473171,77.2602439,71.16831707
"Life expectancy at birth, total (years)",LIFEEXP,2004,YR2004,71.26178049,65.42121951,63.01931707,66.7912439,71.96234146,75.25,77.84658537,71.64804878
"Life expectancy at birth, total (years)",LIFEEXP,2005,YR2005,71.52953659,65.47,63.3672439,67.07336585,72.17131707,75.49890244,78.43268293,72.07785366
"Life expectancy at birth, total (years)",LIFEEXP,2006,YR2006,71.81092683,66.64317073,63.71680488,67.37682927,72.38973171,75.74997561,78.96926829,72.46273171
"Life expectancy at birth, total (years)",LIFEEXP,2007,YR2007,72.10995122,67.49756098,64.06853659,67.70958537,72.61258537,75.99714634,79.3495122,72.81065854
"Life expectancy at birth, total (years)",LIFEEXP,2008,YR2008,72.42709756,67.84878049,64.42295122,68.07514634,72.83534146,76.23634146,79.83268293,73.12963415
"Life expectancy at birth, total (years)",LIFEEXP,2009,YR2009,72.75980488,68.60487805,64.77856098,68.47097561,73.0565122,76.46556098,80.29731707,73.42463415
Energy use (kg of oil equivalent per capita),ENEUSE,1992,YR1992,934.0138489,5351.216324,376.4849441,579.9141118,760.3535756,1478.04166,2540.155509,958.422169
Energy use (kg of oil equivalent per capita),ENEUSE,1993,YR1993,942.6597016,5057.920455,377.5613792,626.5156441,795.3873129,1458.316318,2823.759987,998.7847961
Energy use (kg of oil equivalent per capita),ENEUSE,1994,YR1994,977.3280948,4428.889427,384.6793552,620.4335496,822.4925397,1480.394361,2971.523924,970.4461513
Energy use (kg of oil equivalent per capita),ENEUSE,1995,YR1995,995.4832604,4297.570241,398.4347313,676.8837389,869.1880044,1406.742645,3210.160069,1045.536125
Energy use (kg of oil equivalent per capita),ENEUSE,1996,YR1996,1032.487118,4264.848347,403.723171,692.8955486,891.0069295,1415.434721,3454.733048,1118.913219
Energy use (kg of oil equivalent per capita),ENEUSE,1997,YR1997,1068.571775,4086.636907,411.9770565,704.951113,883.9906998,1433.742882,3726.082626,1159.549255
Energy use (kg of oil equivalent per capita),ENEUSE,1998,YR1998,1077.933111,4002.407293,414.5993372,679.5953933,874.0635251,1456.609777,3377.524229,1160.97871
Energy use (kg of oil equivalent per capita),ENEUSE,1999,YR1999,1086.143772,4162.338175,432.6554888,725.9250875,866.7249059,1490.07477,3708.670785,1122.559776
Energy use (kg of oil equivalent per capita),ENEUSE,2000,YR2000,1084.47502,4232.75414,433.831508,729.5918561,867.1253131,1451.820252,4000.918801,1199.917938
Energy use (kg of oil equivalent per capita),ENEUSE,2001,YR2001,1075.757989,4289.249641,433.5588651,740.0554651,858.1086685,1441.75856,4032.392001,1090.739713
Energy use (kg of oil equivalent per capita),ENEUSE,2002,YR2002,1092.311218,4288.36168,438.6033752,760.1756391,922.915171,1468.158041,4170.091764,1134.488033
Energy use (kg of oil equivalent per capita),ENEUSE,2003,YR2003,1096.129007,4462.829855,442.6284243,752.1439974,1043.965857,1478.163548,4234.041601,1173.257556
Energy use (kg of oil equivalent per capita),ENEUSE,2004,YR2004,1140.613875,4500.479474,461.8333275,795.1435081,1209.740628,1512.300163,4334.04946,1202.59685
Energy use (kg of oil equivalent per capita),ENEUSE,2005,YR2005,1158.386111,4552.64846,471.831885,797.969936,1301.191587,1597.933401,4364.577797,1238.261636
Energy use (kg of oil equivalent per capita),ENEUSE,2006,YR2006,1186.26776,4706.475782,488.3157034,816.5305559,1414.146777,1589.588365,4414.197552,1347.092702
Energy use (kg of oil equivalent per capita),ENEUSE,2007,YR2007,1240.222406,4733.220844,508.1531617,810.0785882,1490.260435,1610.838263,4571.102864,1428.791115
Energy use (kg of oil equivalent per capita),ENEUSE,2008,YR2008,1297.910085,4850.177591,519.8111681,816.3527939,1598.516237,1636.928249,4636.384686,1388.840195
Energy use (kg of oil equivalent per capita),ENEUSE,2009,YR2009,1242.772704,4558.628603,559.5820025,850.8267197,1695.309284,1558.820515,4659.794132,1359.301796