Registered unemployed by Spanish Province

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	<head>
		<meta charset="utf-8">
		<title>Stacked area chart</title>
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h1 {
				font-size: 24px;
				margin: 0;
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p {
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				margin: 10px 0 0 0;
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svg {
				background-color: white;
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path:hover {
				fill: yellow;
			}
			
			.axis path,
			.axis line {
				fill: none;
				stroke: black;
				shape-rendering: crispEdges;
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			.axis text {
				font-family: sans-serif;
				font-size: 11px;
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<h1>Number of unemployed by spanish province. In 1,000 people.</h1>

<p>Registerered unemployed from Q1 2008 to Q3 2015. Source: <a href="https://www.ine.es">I.N.E.</a>, 2015</p>

//Set up stack method
			var stack = d3.layout.stack()
							.values(function(d) {
								return d.aturats;
							})
							.order("reverse");

//Width, height, padding
			var w = 700;
			var h = 600;
			var padding = [ 20, 10, 50, 100 ];  //Top, right, bottom, left

//Set up date format function (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)
							.orient("left")
							.ticks(5);

//Configure area generator
			var area = d3.svg.area()
				.x(function(d) {
					return xScale(dateFormat.parse(d.x));
				})
				.y0(function(d) {
					return yScale(d.y0);  //Updated
				})
				.y1(function(d) {
					return yScale(d.y0 + d.y);  //Updated
				});

//Easy colors accessible via a 10-step ordinal scale
			var color = d3.scale.category10();

//var dateParsed = quarters.map(function(d, i){
        	//	var splitted = d.split('T');
        	//	var quarterMonth = splitted[1].charAt(0) * 3 - 3;

//	return [d3.time.format('%m %Y').parse(quarterMonth + ' ' + splitted[0])];
    		//});

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

//Load data
			d3.csv("aturats_provincia2.csv", function(data) {

//Uncomment to log the newly loaded data to the console
				//console.log(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] ]
				//
				//Our x value will be the year, and y will be the amount
				//of CO2.  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: [
										{ x: "1961", y: 90589.568 },
										{ x: "1962", y: 94912.961 },
										{ x: "1963", y: 101029.517 },
										…
									   ]
						},
						{
							country: "Bermuda",
							emissions: [
										{ x: "1961", y: 176.016 },
										{ x: "1962", y: 157.681 },
										{ x: "1963", y: 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 x and y values.
				//
				//The x (year) values have to be strings in this case,
				//because the date format function expects a string
				//to parse into a Date object.

//New array with all the years, for referencing later
				//var quarters = ["2008T1", "2008T2", "2008T3", "2008T4", "2009T1", "2009T2", "2009T3", "2009T4", "2010T1", "2010T2", "2010T3", "2010T4", "2011T1", "2011T2", "2011T2", "2011T3", "2011T4", "2012T1", "2012T2", "2012T3", "2012T4", "2013T1", "2013T2", "2013T3", "2013T4", "2014T1", "2014T2", "2014T3", "2014T4", "2015T1", "2015T2", "2015T3"];

var quarters = ["1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31"];

//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 province name and empty array
					dataset[i] = {
						provincia: data[i].Provincia,
						aturats: []
					};

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

//Default value, used in case no value is present
						var amount = null;

// If value is not empty
						if (data[i][quarters[j]]) {
							amount = +data[i][quarters[j]];
						}

//Add a new object to the aturats data array
						//for this province
						dataset[i].aturats.push({
							x: quarters[j],
							y: amount
						});

}

//Stack the data!
				stack(dataset);

//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);

//Now that the data is ready, we can check its
				//min and max values to set our scales' domains!
				xScale.domain([ 
					d3.min(quarters, function(d) {
						return dateFormat.parse(d);
					}),
					d3.max(quarters, function(d) {
						return dateFormat.parse(d);
					})
				]);

//Need to recalculate the max value for yScale  
				//differently, now that everything is stacked.

//Loop once for each quarter, and get the total value
				//of unemployed for that quarter.
				var totals = [];

for (i = 0; i < quarters.length; i++) {
					totals[i] = 0;
					for (j = 0; j < dataset.length; j++) {
						totals[i] += dataset[j].aturats[i].y;
					}
				}

yScale.domain([ d3.max(totals), 0 ]);

//Areas
				//
				//Now that we are creating multiple paths, we can use the
				//selectAll/data/enter/append pattern to generate as many
				//as needed.

//Make a path for each country
				var paths = svg.selectAll("path")
					.data(dataset)
					.enter()
					.append("path")
					.attr("class", "area")
					.attr("d", function(d) {
						//Calculate path based on only d.emissions array,
						//not all of d (which would include the country name)
						return area(d.aturats);
					})
					.attr("stroke", "none")
					.attr("fill", function(d, i) {
						return color(i);
					});

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

//Create 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);

});

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	</body>
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