Worldwide nuclear energy use: Line graph

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	<head>
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		<title>Nuclear energy consumption for multiple countries</title>
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<h1>Yearly nuclear energy use by country</h1>

<p>Yearly consumption of nuclear energy (TWh) for countries with non-zero historical production, 1965-2012. Source: <a href="https://www.bp.com/en/global/corporate/about-bp/energy-economics/statistical-review-of-world-energy.html" target="_blank">BP Statistical Review of World Energy</a> (2014)</p>

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//Configure line generator
			var line = d3.svg.line()
				.x(function(d) {
					return xScale(dateFormat.parse(d.year));
				})
				.y(function(d) {
					return yScale(+d.twh);
				});

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//Load data
			d3.csv("NuclearEnergyConsumption1965-2012clean.csv", function(data) {

//New array with all the years, for referencing later
				var years = ["1965", "1966", "1967", "1968", "1969", "1970", "1971", "1972", "1973", "1974", "1975", "1976", "1977", "1978", "1979", "1980", "1981", "1982", "1983", "1984", "1985", "1986", "1987", "1988", "1989", "1990", "1991", "1992", "1993", "1994", "1995", "1996", "1997", "1998", "1999", "2000", "2001", "2002", "2003", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012"];

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				var dataset = [];

//Loop once for each row in data
				for (var i = 0; i < data.length; i++) {

//Create new object with this country's name and empty array
					dataset[i] = {
						country: data[i].countryName,
						consumption: []
					};

//Loop through all the years
					for (var j = 0; j < years.length; j++) {

// If value is not empty
						if (data[i][years[j]]) {
							//Add a new object to the consumption data array
							//for this country
							dataset[i].consumption.push({
								year: years[j],
								twh: data[i][years[j]]
							});
						}

}

//Set scale domains
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					d3.min(years, function(d) {
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					})
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yScale.domain([ 
					d3.max(dataset, function(d) {
						return d3.max(d.consumption, function(d) {
							return +d.twh;
						});
					}),
					0
				]);

//Make a group for each country
				var groups = svg.selectAll("g")
					.data(dataset)
					.enter()
					.append("g")
					.classed("highlight", function(d) {

if (d.country == "Sweden") {
							return true;
						} else {
							return false;
						}

});

//Append a title with the country name (so we get easy tooltips)
				groups.append("title")
					.text(function(d) {
						return d.country;
					});

//Within each group, create a new line/path,
				//binding just the consumption data to each one
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					.data(function(d) {
						return [ d.consumption ];
					})
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					.text("Yearly consumption (TWh)");

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