BRICS countries - External debt by Country and Year

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	<body>

<h1>External debt stocks, total (DOD, current US$)	</h1>

<p>
			Total external debt is debt owed to nonresidents repayable in foreign currency, goods, or services. Total external debt is the sum of public, publicly guaranteed, and private nonguaranteed long-term debt, use of IMF credit, and short-term debt. Short-term debt includes all debt having an original maturity of one year or less and interest in arrears on long-term debt. Data are in current U.S. dollars. Source: World Bank, Global Development Finance.
		</p>
		<p>
			How emerging BRICS (Brazil, Russia, India, China and South Africa) play in the scene.
		</p>
		<p>  Source: <a href="https://data.worldbank.org/indicator/DT.DOD.DECT.CD">World Bank</a>, 2014</p>

//Dimensions and padding
			var w = 900;
			var h = 600;
			var padding = [ 20, 10, 50, 100 ];  //Top, right, bottom, left

//Set up date formatting and years
			var dateFormat = d3.time.format("%Y");

//Set up scales
			var xScale = d3.time.scale()
								.range([ padding[3], w - padding[1] - padding[3] ]);

var yScale = d3.scale.linear()
								.range([ padding[0], h - padding[2] ]);

//Configure axis generators
			var xAxis = d3.svg.axis()
							.scale(xScale)
							.orient("bottom")
							.ticks(15)
							.tickFormat(function(d) {
								return dateFormat(d);
							});

var yAxis = d3.svg.axis()
							.scale(yScale)
							.tickFormat(function (d) { return "$ " + d/1e9 +" B" })
							.orient("left");

//Configure line generator
			var line = d3.svg.line()
				.x(function(d) {
					return xScale(dateFormat.parse(d.year));
				})
				//.y0( h - padding[2] )
				.y(function(d) {
					return yScale(+d.amount);
				});

//Create the empty SVG image
			var svg = d3.select("body")
						.append("svg")
						.attr("width", w)
						.attr("height", h);

//Load data
			d3.csv("deuda.csv", function(data) {

data.sort(function(a, b) {
					return d3.descending(+a['2008'], +b['2008']);
				});

//Data is loaded in, but we need to restructure it.
				//Remember, each line requires an array of x/y pairs;
				//that is, an array of arrays, like so:
				//
				//	[ [x: 1, y: 1], [x: 2, y: 2], [x: 3, y: 3] ]
				//
				//We, however, are using 'year' as x and 'amount' as y.
				//We also need to know which country belongs to each
				//line, so we will build an array of objects that is
				//structured like this:
				/*

[
						{
							country: "Australia",
							emissions: [
										{ year: 1961, amount: 90589.568 },
										{ year: 1962, amount: 94912.961 },
										{ year: 1963, amount: 101029.517 },
										…
									   ]
						},
						{
							country: "Bermuda",
							emissions: [
										{ year: 1961, amount: 176.016 },
										{ year: 1962, amount: 157.681 },
										{ year: 1963, amount: 150.347 },
										…
									   ]
						},
						…
					 ]

*/
				//Note that this is an array of objects. Each object
				//contains two values, 'country' and 'emissions'.
				//The 'emissions' value is itself an array, containing
				//more objects, each one holding 'year' and 'amount' values.

//New array with all the years, for referencing later
				var years = ["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"];

//Create a new, empty array to hold our restructured dataset
				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,
						emissions: []
					};

//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 emissions data array
							//for this country
							dataset[i].emissions.push({
								year: years[j],
								amount: data[i][years[j]]
							});
						}

}

//Uncomment to log the original data to the console
				// console.log(data);

//Uncomment to log the newly restructured dataset to the console
				// console.log(dataset);

//Set scale domains
				xScale.domain([
					d3.min(years, function(d) {
						return dateFormat.parse(d);
					}),
					d3.max(years, function(d) {
						return dateFormat.parse(d);
					})
				]);

yScale.domain([
					d3.max(dataset, function(d) {
						return d3.max(d.emissions, function(d) {
							return +d.amount;
						});
					}),
					0
				]);

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

d.country=='Brazil' ||
							d.country=='Russia' ||
							d.country=='India' ||
							d.country=='China' ||
							d.country=='South Africa'
							) return true;
					})

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

labels = groups.append("text")
					.text(function(d) { return d.country })
					.attr('y',function (d) {
						prueba = d.emissions
						return yScale( +d.emissions[ d.emissions.length - 1].amount );
						})
					.attr('x', w - 130 )
					.attr('class','label')
					.classed('highlight', function(d) {
						if(

d.country=='Brazil' ||
							d.country=='Russia' ||
							d.country=='India' ||
							d.country=='China' ||
							d.country=='South Africa'
							) return true;
					})
					.classed('context', function(d) {
						if( d3.max(d.emissions.map(function(d){ return +d.amount; } )) > 150000000000 )
							 return true;
					})

//Within each group, create a new line/path,
				//binding just the emissions data to each one
				groups.selectAll("path")
					.data(function(d) {
						return [ d.emissions ];
					})
					.enter()
					.append("path")
					.attr("class", "line")
					.attr("d", line)
					.on("mouseover", function(d) {
						var country = d3.select(this.parentNode).datum().country;
						label = labels.filter(function (dd) {
							if (dd.country == country)
									return true;
							});
						label.classed('over',true)
					})
					.on("mouseout", function(d) {
						var country = d3.select(this.parentNode).datum().country;
						label = labels.filter(function (dd) {
							if (dd.country == country)
									return true;
							});
						label.classed('over',false)
					});

//Axes
				svg.append("g")
					.attr("class", "x axis")
					.attr("transform", "translate(0," + (h - padding[2]) + ")")
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svg.append("g")
					.attr("class", "y axis")
					.attr("transform", "translate(" + (padding[3]) + ",0)")
					.call(yAxis);

});
			//End USA data load function

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