urdinblu/countryDebt.csv

## countryDebt.csv

          
            CountryName
            CountryCode
            IndicatorName
            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
            2013

            
              allDevelopingCountries
              LMY
              InterestPaymentsOnExternalDebt
              2.3
              2.5
              2.1
              1.9
              1.9
              1.8
              1.6
              1.7
              1.8
              1.8
              1.8
              1.9
              2.0
              1.9
              1.7
              1.4
              1.4
              1.2
              1.1
              1.0
              1.0
              0.8
              0.8
              0.8
              0.8
              0.9
              0.6

            
              eastAsia&Pacific
              EAP
              InterestPaymentsOnExternalDebt
              2.1
              2.0
              2.1
              1.9
              2.0
              1.7
              1.7
              1.6
              1.6
              1.5
              1.6
              1.7
              1.6
              1.5
              1.3
              0.9
              0.8
              0.8
              0.6
              0.6
              0.5
              0.4
              0.3
              0.6
              0.6
              0.5
              0.2

            
              europe&CentralAsia
              ECA
              InterestPaymentsOnExternalDebt
              2.0
              2.1
              1.8
              1.7
              1.6
              1.7
              1.5
              1.8
              2.1
              2.1
              2.2
              2.0
              2.2
              2.6
              2.7
              2.1
              1.9
              1.8
              1.8
              2.0
              2.2
              2.3
              2.7
              2.3
              2.5
              2.0
              2.1

            
              latinAmerica&Caribbean
              LAC
              InterestPaymentsOnExternalDebt
              3.8
              4.0
              2.6
              1.9
              2.0
              1.7
              1.6
              1.6
              2.0
              2.0
              1.9
              2.2
              2.7
              2.6
              2.3
              2.1
              2.1
              1.8
              1.6
              1.5
              1.3
              1.1
              1.1
              1.0
              1.0
              1.4
              1.2

            
              lowIncome
              LIC
              InterestPaymentsOnExternalDebt
              1.5
              1.4
              1.3
              1.3
              1.1
              1.0
              1.1
              1.2
              1.2
              1.0
              0.8
              0.8
              0.8
              0.7
              0.5
              0.6
              0.5
              0.5
              0.4
              0.4
              0.5
              0.5
              0.3
              0.3
              0.3
              0.3
              0.3

            
              lowerMiddleIncome
              LMC
              InterestPaymentsOnExternalDebt
              1.8
              2.0
              2.2
              2.2
              2.4
              2.3
              2.1
              2.1
              2.1
              1.9
              1.9
              2.1
              1.7
              1.9
              1.7
              1.4
              1.3
              1.2
              1.1
              0.9
              0.9
              0.8
              0.7
              0.6
              0.6
              0.7
              0.7

            
              middleIncome
              MIC
              InterestPaymentsOnExternalDebt
              2.4
              2.6
              2.2
              1.9
              2.0
              1.8
              1.7
              1.7
              1.9
              1.8
              1.8
              1.9
              2.0
              2.0
              1.8
              1.5
              1.4
              1.2
              1.1
              1.1
              1.0
              0.8
              0.8
              0.8
              0.8
              0.9
              0.7

            
              subSaharanAfrica
              SSA
              InterestPaymentsOnExternalDebt
              1.4
              1.6
              1.5
              1.8
              1.7
              1.5
              1.2
              1.7
              1.7
              1.7
              1.4
              1.5
              1.5
              1.4
              1.2
              1.1
              0.8
              0.7
              1.4
              0.7
              0.7
              0.6
              0.5
              0.4
              0.4
              0.5
              0.5

            
              upperMiddleIncome
              UMC
              InterestPaymentsOnExternalDebt
              2.7
              2.8
              2.1
              1.8
              1.8
              1.7
              1.5
              1.5
              1.8
              1.7
              1.8
              1.9
              2.1
              2.0
              1.8
              1.5
              1.4
              1.2
              1.1
              1.1
              1.0
              0.9
              0.8
              0.9
              0.9
              0.9
              0.6

## index.html
<!DOCTYPE html>
<!DOCTYPE html>
<html lang="en">
	<head>
		<meta charset="utf-8">
		<title>Divergent Paths</title>
		<script type="text/javascript" src="http://d3js.org/d3.v3.js"></script>
		<style type="text/css">

			body {
				background-color: white;
				font-family: Helvetica, Arial, sans-serif;
			}

			h1 {
				font-size: 24px;
				margin: 0;
			}

			h2 {
				font-size: 10px;
				font-weight: normal;
				margin: 0;
			}

			p {
				font-size: 14px;
				margin: 10px 0 0 0;
			}

			svg {
				background-color: lavenderBlush;
			}

			#textBlock {
				padding:1px 30px 8px 10px;
				margin: 1px 6px 0px 6px;
				position: absolute;
				left: 300px;
				top: 95px;
				width: 250px;
				border: 1px solid green;
				background-color: #F781BE;
				z-index: 30;
				/*visibility: hidden;*/
			}

			#innerTextBlock{
				margin-left: 0px;
				margin-top: 24px;
				width: 592px;
				padding: 0px 15px 9px 15px;
				border: 1px dotted darkkhaki;
				background-color: oldlace;

			}

			.title{
				position: absolute;
				left: 5px;
				top: 65px;
				height: 20px;
				line-height: 100%;
				font-size: 8px;
				font-weight: normal;
				color: #FFFFFF;
				margin: 34px 0 10px 98px;
				width: 855px;
			}

			circle:hover {
				fill: orange;
			}

			path {
				stroke: gray;
				stroke-width: 0.5;
			}

			g.highlight path {
				stroke: red;
				stroke-width: 2;
			}


			.axis path,
			.axis line {
				fill: none;
				stroke: gray;
				stroke-width: 1;
				shape-rendering: crispEdges;
			}

			.axis text {
				font-family: sans-serif;
				font-size: 11px;
			}

		</style>
	</head>
	<body>

		<h1>World Bank Debt Statistics by Region (1987-2013)</h1>

		<p>Regional Debt Divergency. Debt as a percentage of Gross National Income (GNI) between 1987 and 2013.</p>

		<p> Source: <a href="http://data.worldbank.org/indicator/DT.DOD.DECT.GN.ZS"</a>World Bank 2014</p>

		<div id="textBlock">
			<h2> This chart assesses the relative merits of two regions ("Europe & Central Asia" and "East Asia & Pacific"), and compares their relative performance on the basis of their debt expressed as a percentage their gross national income from 1987 through to 2013. Whereas both regions started from relatively similar base points in 1987, the performance of  Europe & Central Asia has been more erratic, culminating in an overall increase in debt. In comparison  the East Asia & Pacific region has managed to progressively reduce its debt over the same period relative to its gross national income. </h2>

		<script type="text/javascript">


			//Dimensions and padding
			var w = 700;
			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(12)
							.tickFormat(function(d) {
								return dateFormat(d);
							});

			var yAxis = d3.svg.axis()
							.scale(yScale)
							.orient("left");


			//Configure line generator
			var line = d3.svg.line()
				.x(function(d) {
					return xScale(dateFormat.parse(d.year));
				})
				.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 USA data
			d3.csv("countryDebt.csv", function(data) {

				//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 = ["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","2013"];

				//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,
						interestPaymentsOnExternalDebt: []
					};

					//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].interestPaymentsOnExternalDebt.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.interestPaymentsOnExternalDebt, 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 == "eastAsia&Pacific" ||
							d.country == "europe&CentralAsia"){

							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 emissions data to each one
				groups.selectAll("path")
					.data(function(d) {
						return [ d.interestPaymentsOnExternalDebt];
					})
					.enter()
					.append("path")
					.attr("class", "line")
					.attr("d", line)
					.attr("fill", "none")
					.attr("stroke-width", 2);

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

				svg.append("g")
					.attr("class", "y axis")
					.attr("transform", "translate(" + (padding[3]) + ",0)")
					.call(yAxis);

				svg.append("text")
					.attr("class", "label")
					.attr("y",(h-padding[2]/2))
					.attr("x", w/2)
					.attr("dy", "1em")
					.style("text-anchor", "middle")
					.text("Year");

				svg.append("text")
					.attr("class", "label")
					.attr("transform", "rotate(-90)")
					.attr("y",padding[3]-60)
					.attr("x",0-(h/2))
					.attr("dy", "1em")
					.style("text-anchor", "middle")
					.text("percentage of GNI % ");

			});
			//End USA data load function


		</script>

	</body>
</html>
CountryName	CountryCode	IndicatorName	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	2013
allDevelopingCountries	LMY	InterestPaymentsOnExternalDebt	2.3	2.5	2.1	1.9	1.9	1.8	1.6	1.7	1.8	1.8	1.8	1.9	2.0	1.9	1.7	1.4	1.4	1.2	1.1	1.0	1.0	0.8	0.8	0.8	0.8	0.9	0.6
eastAsia&Pacific	EAP	InterestPaymentsOnExternalDebt	2.1	2.0	2.1	1.9	2.0	1.7	1.7	1.6	1.6	1.5	1.6	1.7	1.6	1.5	1.3	0.9	0.8	0.8	0.6	0.6	0.5	0.4	0.3	0.6	0.6	0.5	0.2
europe&CentralAsia	ECA	InterestPaymentsOnExternalDebt	2.0	2.1	1.8	1.7	1.6	1.7	1.5	1.8	2.1	2.1	2.2	2.0	2.2	2.6	2.7	2.1	1.9	1.8	1.8	2.0	2.2	2.3	2.7	2.3	2.5	2.0	2.1
latinAmerica&Caribbean	LAC	InterestPaymentsOnExternalDebt	3.8	4.0	2.6	1.9	2.0	1.7	1.6	1.6	2.0	2.0	1.9	2.2	2.7	2.6	2.3	2.1	2.1	1.8	1.6	1.5	1.3	1.1	1.1	1.0	1.0	1.4	1.2
lowIncome	LIC	InterestPaymentsOnExternalDebt	1.5	1.4	1.3	1.3	1.1	1.0	1.1	1.2	1.2	1.0	0.8	0.8	0.8	0.7	0.5	0.6	0.5	0.5	0.4	0.4	0.5	0.5	0.3	0.3	0.3	0.3	0.3
lowerMiddleIncome	LMC	InterestPaymentsOnExternalDebt	1.8	2.0	2.2	2.2	2.4	2.3	2.1	2.1	2.1	1.9	1.9	2.1	1.7	1.9	1.7	1.4	1.3	1.2	1.1	0.9	0.9	0.8	0.7	0.6	0.6	0.7	0.7
middleIncome	MIC	InterestPaymentsOnExternalDebt	2.4	2.6	2.2	1.9	2.0	1.8	1.7	1.7	1.9	1.8	1.8	1.9	2.0	2.0	1.8	1.5	1.4	1.2	1.1	1.1	1.0	0.8	0.8	0.8	0.8	0.9	0.7
subSaharanAfrica	SSA	InterestPaymentsOnExternalDebt	1.4	1.6	1.5	1.8	1.7	1.5	1.2	1.7	1.7	1.7	1.4	1.5	1.5	1.4	1.2	1.1	0.8	0.7	1.4	0.7	0.7	0.6	0.5	0.4	0.4	0.5	0.5
upperMiddleIncome	UMC	InterestPaymentsOnExternalDebt	2.7	2.8	2.1	1.8	1.8	1.7	1.5	1.5	1.8	1.7	1.8	1.9	2.1	2.0	1.8	1.5	1.4	1.2	1.1	1.1	1.0	0.9	0.8	0.9	0.9	0.9	0.6
	<!DOCTYPE html>
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<title>Divergent Paths</title>
	<script type="text/javascript" src="http://d3js.org/d3.v3.js"></script>
	<style type="text/css">

	body {
	background-color: white;
	font-family: Helvetica, Arial, sans-serif;
	}

	h1 {
	font-size: 24px;
	margin: 0;
	}

	h2 {
	font-size: 10px;
	font-weight: normal;
	margin: 0;
	}

	p {
	font-size: 14px;
	margin: 10px 0 0 0;
	}

	svg {
	background-color: lavenderBlush;
	}

	#textBlock {
	padding:1px 30px 8px 10px;
	margin: 1px 6px 0px 6px;
	position: absolute;
	left: 300px;
	top: 95px;
	width: 250px;
	border: 1px solid green;
	background-color: #F781BE;
	z-index: 30;
	/visibility: hidden;/
	}

	#innerTextBlock{
	margin-left: 0px;
	margin-top: 24px;
	width: 592px;
	padding: 0px 15px 9px 15px;
	border: 1px dotted darkkhaki;
	background-color: oldlace;

	}

	.title{
	position: absolute;
	left: 5px;
	top: 65px;
	height: 20px;
	line-height: 100%;
	font-size: 8px;
	font-weight: normal;
	color: #FFFFFF;
	margin: 34px 0 10px 98px;
	width: 855px;
	}

	circle:hover {
	fill: orange;
	}

	path {
	stroke: gray;
	stroke-width: 0.5;
	}

	g.highlight path {
	stroke: red;
	stroke-width: 2;
	}



	.axis path,
	.axis line {
	fill: none;
	stroke: gray;
	stroke-width: 1;
	shape-rendering: crispEdges;
	}

	.axis text {
	font-family: sans-serif;
	font-size: 11px;
	}

	</style>
	</head>
	<body>

	<h1>World Bank Debt Statistics by Region (1987-2013)</h1>

	<p>Regional Debt Divergency. Debt as a percentage of Gross National Income (GNI) between 1987 and 2013.</p>

	<p> Source: <a href="http://data.worldbank.org/indicator/DT.DOD.DECT.GN.ZS"</a>World Bank 2014</p>

	<div id="textBlock">
	<h2> This chart assesses the relative merits of two regions ("Europe & Central Asia" and "East Asia & Pacific"), and compares their relative performance on the basis of their debt expressed as a percentage their gross national income from 1987 through to 2013. Whereas both regions started from relatively similar base points in 1987, the performance of Europe & Central Asia has been more erratic, culminating in an overall increase in debt. In comparison the East Asia & Pacific region has managed to progressively reduce its debt over the same period relative to its gross national income. </h2>

	<script type="text/javascript">


	//Dimensions and padding
	var w = 700;
	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(12)
	.tickFormat(function(d) {
	return dateFormat(d);
	});

	var yAxis = d3.svg.axis()
	.scale(yScale)
	.orient("left");



	//Configure line generator
	var line = d3.svg.line()
	.x(function(d) {
	return xScale(dateFormat.parse(d.year));
	})
	.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 USA data
	d3.csv("countryDebt.csv", function(data) {

	//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 = ["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","2013"];

	//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,
	interestPaymentsOnExternalDebt: []
	};

	//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].interestPaymentsOnExternalDebt.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.interestPaymentsOnExternalDebt, 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 == "eastAsia&Pacific" \|\|
	d.country == "europe&CentralAsia"){

	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 emissions data to each one
	groups.selectAll("path")
	.data(function(d) {
	return [ d.interestPaymentsOnExternalDebt];
	})
	.enter()
	.append("path")
	.attr("class", "line")
	.attr("d", line)
	.attr("fill", "none")
	.attr("stroke-width", 2);

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

	svg.append("g")
	.attr("class", "y axis")
	.attr("transform", "translate(" + (padding[3]) + ",0)")
	.call(yAxis);

	svg.append("text")
	.attr("class", "label")
	.attr("y",(h-padding[2]/2))
	.attr("x", w/2)
	.attr("dy", "1em")
	.style("text-anchor", "middle")
	.text("Year");

	svg.append("text")
	.attr("class", "label")
	.attr("transform", "rotate(-90)")
	.attr("y",padding[3]-60)
	.attr("x",0-(h/2))
	.attr("dy", "1em")
	.style("text-anchor", "middle")
	.text("percentage of GNI % ");

	});
	//End USA data load function


	</script>

	</body>
	</html>