jonolave/index.html

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

			body {
				background-color: #F0F0F0;
				font-family: Helvetica, Arial, sans-serif;
			}

			h1 {
				font-size: 24px;
				color: #FF007F;
				margin: 0;
			}

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

			svg {
				background-color: #F0F0F0;
			}

			path {
				stroke: #333333;
				stroke-width: 1;
				opacity: 0.5;
			}

			path:hover {
				stroke: #FF007F;
				stroke-width: 3;
				opacity: 0.9;
			}

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

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

		</style>
	</head>
	<body>

		<h1>Unemployment in Europe</h1>

		<p>Unemployment rate in Europe, December each year 2004-2014. Source: <a href="http://ec.europa.eu/eurostat/web/products-datasets/-/ei_lmhr_m">Eurostat</a>, 2014</p>

		<script type="text/javascript">


			//Dimensions and padding
			var w = 700;
			var h = 500;
			var padding = [ 30, 10, 50, 30 ];  //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(10)
							.tickFormat(function(d) {
								return dateFormat(d);
							});

			var yAxis = d3.svg.axis()
							.scale(yScale)
							.orient("left")
							.ticks(15)
							.tickFormat(function(d) {
								return d + "%";
							});

			//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 data
			d3.csv("unemployment.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",
							u_rates: [
										{ year: 1961, amount: 90589.568 },
										{ year: 1962, amount: 94912.961 },
										{ year: 1963, amount: 101029.517 },
										…
									   ]
						},
						{
							country: "Bermuda",
							u_rates: [
										{ 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 'u_rates'.
				//The 'u_rates' 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 = ["2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012", "2013", "2014"];

				//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].country,
						u_rates: []
					};

					//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 u_rates data array
							//for this country
							dataset[i].u_rates.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.u_rates, function(d) {
							return +d.amount;
						});
					}),
					0
				]);


				//Make a group for each country
				var groups = svg.selectAll("g")
					.data(dataset)
					.enter()
					.append("g");

				//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 u_rates data to each one
				groups.selectAll("path")
					.data(function(d) {
						return [ d.u_rates ];
					})
					.enter()
					.append("path")
					.attr("class", "line")
					.attr("d", line)
					.attr("fill", "none")
					.attr("stroke", "steelblue")
					.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);

			});
			//End USA data load function


		</script>

	</body>
</html>

## unemployment.csv

          
            country
            2014
            2013
            2012
            2011
            2010
            2009
            2008
            2007
            2006
            2005
            2004

            
              Austria
              5.6
              5.5
              5.1
              4.7
              4.5
              5.2
              4.7
              4.3
              5.0
              5.7
              5.4

            
              Belgium
              8.5
              8.5
              8.4
              7.2
              7.7
              8.2
              7.0
              7.3
              7.9
              8.4
              8.1

            
              Bulgaria
              10.9
              12.9
              12.5
              11.7
              11.4
              8.4
              5.3
              6.1
              8.2
              9.7
              11.5

            
              Cyprus
              16.4
              16.5
              13.8
              9.7
              6.0
              6.6
              3.8
              3.8
              4.3
              5.4
              5.2

            
              Czech Republic
              5.9
              6.7
              7.1
              6.5
              7.0
              7.5
              4.7
              4.9
              6.4
              7.8
              8.1

            
              Germany
              4.8
              5.1
              5.3
              5.5
              6.5
              7.5
              7.2
              8.1
              9.4
              10.7
              10.7

            
              Denmark
              6.2
              7.2
              7.3
              7.6
              7.7
              6.9
              4.4
              3.3
              3.8
              4.1
              5.3

            
              Estonia
              6.4
              8.5
              9.5
              10.9
              14.1
              16.8
              9.0
              4.1
              5.1
              6.8
              9.5

            
              Greece
              26.0
              27.3
              26.4
              21.7
              14.8
              10.7
              8.7
              8.1
              9.0
              9.7
              10.4

            
              Spain
              23.6
              25.6
              26.0
              22.9
              20.3
              19.0
              14.8
              8.8
              8.2
              8.7
              10.3

            
              Finland
              8.8
              8.4
              7.9
              7.5
              8.0
              8.7
              6.8
              6.5
              7.3
              8.1
              8.7

            
              France
              10.3
              10.2
              10.2
              9.4
              9.2
              9.5
              8.0
              7.4
              8.4
              9.1
              8.9

            
              Croatia
              16.3
              17.0
              17.8
              14.1
              12.3
              9.8
              9.0
              10.1
              10.6
              12.2
              13.4

            
              Hungary
              7.3
              8.7
              10.9
              11.1
              11.1
              10.7
              8.4
              8.0
              7.4
              7.4
              6.5

            
              Ireland
              10.2
              12.1
              14.0
              15.1
              15.0
              13.1
              8.6
              5.0
              4.4
              4.3
              4.4

            
              Iceland
              4.5
              5.3
              5.7
              6.5
              7.5
              7.5
              4.8
              2.5
              2.6
              2.7
              2.8

            
              Italy
              12.7
              12.5
              11.4
              9.6
              8.1
              8.4
              6.8
              6.5
              6.2
              7.6
              7.8

            
              Lithuania
              10.0
              11.4
              12.7
              14.1
              17.4
              16.6
              9.0
              4.1
              5.0
              6.9
              10.3

            
              Luxemburg
              5.9
              6.0
              5.4
              4.9
              4.8
              4.8
              5.2
              4.2
              4.6
              4.7
              4.9

            
              Latvia
              10.6
              11.6
              13.8
              15.3
              18.1
              20.3
              10.5
              5.5
              6.6
              8.7
              11.9

            
              Malta
              5.8
              6.5
              6.3
              6.6
              6.8
              6.9
              6.2
              6.0
              6.5
              6.9
              6.9

            
              Netherlands
              7.2
              7.7
              6.4
              5.4
              5.0
              5.0
              3.7
              3.9
              4.6
              5.7
              5.9

            
              Norway
              3.7
              3.6
              3.5
              3.2
              3.4
              3.3
              2.9
              2.4
              2.8
              4.3
              4.4

            
              Poland
              8.2
              10.0
              10.4
              9.9
              9.5
              9.0
              7.0
              8.2
              11.9
              16.6
              18.3

            
              Portugal
              13.6
              15.1
              17.3
              14.4
              12.2
              11.3
              9.3
              8.8
              9.2
              8.8
              8.3

            
              Romania
              6.6
              7.1
              6.8
              7.2
              6.9
              7.0
              5.7
              5.8
              7.2
              6.7
              7.8

            
              Sweden
              7.6
              8.1
              8.1
              7.8
              8.0
              9.0
              6.8
              6.0
              6.4
              7.7
              7.5

            
              Slovenia
              9.7
              9.9
              9.7
              8.5
              7.9
              6.5
              4.3
              4.7
              5.4
              6.9
              6.3

            
              Slovakia
              12.5
              14.0
              14.4
              14.0
              13.9
              14.4
              9.1
              10.5
              12.1
              15.4
              17.6

            
              United Kingdom
              5.5
              7.1
              7.7
              8.3
              7.8
              7.6
              6.4
              5.0
              5.4
              5.1
              4.7
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<title>Unemployment rate in Europe</title>
	<script type="text/javascript" src="http://d3js.org/d3.v3.js"></script>
	<style type="text/css">

	body {
	background-color: #F0F0F0;
	font-family: Helvetica, Arial, sans-serif;
	}

	h1 {
	font-size: 24px;
	color: #FF007F;
	margin: 0;
	}

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

	svg {
	background-color: #F0F0F0;
	}

	path {
	stroke: #333333;
	stroke-width: 1;
	opacity: 0.5;
	}

	path:hover {
	stroke: #FF007F;
	stroke-width: 3;
	opacity: 0.9;
	}

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

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

	</style>
	</head>
	<body>

	<h1>Unemployment in Europe</h1>

	<p>Unemployment rate in Europe, December each year 2004-2014. Source: <a href="http://ec.europa.eu/eurostat/web/products-datasets/-/ei_lmhr_m">Eurostat</a>, 2014</p>

	<script type="text/javascript">


	//Dimensions and padding
	var w = 700;
	var h = 500;
	var padding = [ 30, 10, 50, 30 ]; //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(10)
	.tickFormat(function(d) {
	return dateFormat(d);
	});

	var yAxis = d3.svg.axis()
	.scale(yScale)
	.orient("left")
	.ticks(15)
	.tickFormat(function(d) {
	return d + "%";
	});

	//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 data
	d3.csv("unemployment.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",
	u_rates: [
	{ year: 1961, amount: 90589.568 },
	{ year: 1962, amount: 94912.961 },
	{ year: 1963, amount: 101029.517 },
	…
	]
	},
	{
	country: "Bermuda",
	u_rates: [
	{ 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 'u_rates'.
	//The 'u_rates' 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 = ["2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012", "2013", "2014"];

	//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].country,
	u_rates: []
	};

	//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 u_rates data array
	//for this country
	dataset[i].u_rates.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.u_rates, function(d) {
	return +d.amount;
	});
	}),
	0
	]);



	//Make a group for each country
	var groups = svg.selectAll("g")
	.data(dataset)
	.enter()
	.append("g");

	//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 u_rates data to each one
	groups.selectAll("path")
	.data(function(d) {
	return [ d.u_rates ];
	})
	.enter()
	.append("path")
	.attr("class", "line")
	.attr("d", line)
	.attr("fill", "none")
	.attr("stroke", "steelblue")
	.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);

	});
	//End USA data load function


	</script>

	</body>
	</html>
country	2014	2013	2012	2011	2010	2009	2008	2007	2006	2005	2004
Austria	5.6	5.5	5.1	4.7	4.5	5.2	4.7	4.3	5.0	5.7	5.4
Belgium	8.5	8.5	8.4	7.2	7.7	8.2	7.0	7.3	7.9	8.4	8.1
Bulgaria	10.9	12.9	12.5	11.7	11.4	8.4	5.3	6.1	8.2	9.7	11.5
Cyprus	16.4	16.5	13.8	9.7	6.0	6.6	3.8	3.8	4.3	5.4	5.2
Czech Republic	5.9	6.7	7.1	6.5	7.0	7.5	4.7	4.9	6.4	7.8	8.1
Germany	4.8	5.1	5.3	5.5	6.5	7.5	7.2	8.1	9.4	10.7	10.7
Denmark	6.2	7.2	7.3	7.6	7.7	6.9	4.4	3.3	3.8	4.1	5.3
Estonia	6.4	8.5	9.5	10.9	14.1	16.8	9.0	4.1	5.1	6.8	9.5
Greece	26.0	27.3	26.4	21.7	14.8	10.7	8.7	8.1	9.0	9.7	10.4
Spain	23.6	25.6	26.0	22.9	20.3	19.0	14.8	8.8	8.2	8.7	10.3
Finland	8.8	8.4	7.9	7.5	8.0	8.7	6.8	6.5	7.3	8.1	8.7
France	10.3	10.2	10.2	9.4	9.2	9.5	8.0	7.4	8.4	9.1	8.9
Croatia	16.3	17.0	17.8	14.1	12.3	9.8	9.0	10.1	10.6	12.2	13.4
Hungary	7.3	8.7	10.9	11.1	11.1	10.7	8.4	8.0	7.4	7.4	6.5
Ireland	10.2	12.1	14.0	15.1	15.0	13.1	8.6	5.0	4.4	4.3	4.4
Iceland	4.5	5.3	5.7	6.5	7.5	7.5	4.8	2.5	2.6	2.7	2.8
Italy	12.7	12.5	11.4	9.6	8.1	8.4	6.8	6.5	6.2	7.6	7.8
Lithuania	10.0	11.4	12.7	14.1	17.4	16.6	9.0	4.1	5.0	6.9	10.3
Luxemburg	5.9	6.0	5.4	4.9	4.8	4.8	5.2	4.2	4.6	4.7	4.9
Latvia	10.6	11.6	13.8	15.3	18.1	20.3	10.5	5.5	6.6	8.7	11.9
Malta	5.8	6.5	6.3	6.6	6.8	6.9	6.2	6.0	6.5	6.9	6.9
Netherlands	7.2	7.7	6.4	5.4	5.0	5.0	3.7	3.9	4.6	5.7	5.9
Norway	3.7	3.6	3.5	3.2	3.4	3.3	2.9	2.4	2.8	4.3	4.4
Poland	8.2	10.0	10.4	9.9	9.5	9.0	7.0	8.2	11.9	16.6	18.3
Portugal	13.6	15.1	17.3	14.4	12.2	11.3	9.3	8.8	9.2	8.8	8.3
Romania	6.6	7.1	6.8	7.2	6.9	7.0	5.7	5.8	7.2	6.7	7.8
Sweden	7.6	8.1	8.1	7.8	8.0	9.0	6.8	6.0	6.4	7.7	7.5
Slovenia	9.7	9.9	9.7	8.5	7.9	6.5	4.3	4.7	5.4	6.9	6.3
Slovakia	12.5	14.0	14.4	14.0	13.9	14.4	9.1	10.5	12.1	15.4	17.6
United Kingdom	5.5	7.1	7.7	8.3	7.8	7.6	6.4	5.0	5.4	5.1	4.7