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Evolution of the unemployment in Spain
<!DOCTYPE html> <html lang="en"> <head> <meta charset="utf-8"> <title>Line Chart with Multiple Lines</title> <script type="text/javascript" src="https://d3js.org/d3.v3.js"></script> <style type="text/css"> body { background-color: #F2F2F2; max-width: 900px; } svg { background-color: #F2F2F2; } h1 { font-family: Helvetica, Arial, sans-serif; font-size: 36px; font-weight: bold; color: #A01E0C; border-bottom: solid 8px #A01E0C; } h2 { font-family: Helvetica, Arial, sans-serif; font-size: 24px; font-weight: bold; color: black; } h3 { font-family: Helvetica, Arial, sans-serif; font-size: 14px; font-weight: normal; font-style: italic; color: black; } p { font-family: Helvetica; font-size: 16px; font-weight: bold; color: black; } g.highlight path { stroke: #6E6E6E; stroke-width: 3; } path:hover { stroke: #A01E0C; stroke-width: 4; } .axis path, .axis line { fill: none; stroke: #A01E0C; shape-rendering: crispEdges; } .axis text { font-family: sans-serif; font-size: 12px; } </style> </head> <body> <h1>UNEMPLOYMENT IN SPAIN </h1> <h2> Evolution of the unemployment rate in Spain by region (2007-2014)</h2> <h3> Source: Economically Active Population Survey. Spanish Statistical Office, <a href="https://www.ine.es">INE</a> </h3> <p> Unemployment is one of the greatest concerns within Spanish society. After having reached a minimum of around 8% in 2007, with the Spanish economic crisis that began in 2008 the rate of unemployment grew quickly reaching almost 26% in 2013. <br> Unemployment rates vary according to the different regions. It is a big problem in the southern regions of the country, like Andalucía, Canarias or Extremadura, especially in the least industrialized areas. Unemployment in these regions was higher than 30% in 2014. <br> Although unemployment in the northern regions such as Navarra or País Vasco is much lower than in the rest of the country, the figures are still very worrying: around 15% in 2014. </p> <script type="text/javascript"> var w = 650; var h = 500; var padding = [ 20, 20, 50, 150 ]; var dateFormat = d3.time.format("%Y"); var xScale = d3.time.scale() .range([ padding[3], w - padding[1] ]); var yScale = d3.scale.linear() .range([ padding[0], h - padding[2] ]); var xAxis = d3.svg.axis() .scale(xScale) .orient("bottom") .ticks(8) .tickFormat(function(d) { return dateFormat(d); }); var yAxis = d3.svg.axis() .scale(yScale) .orient("left") .tickFormat(function(d) { return d + "%"; }); var line = d3.svg.line() .x(function(d) { return xScale(dateFormat.parse(d.year)); }) .y(function(d) { return yScale(+d.amount); }); var svg = d3.select("body") .append("svg") .attr("width", w) .attr("height", h); d3.csv("unemp_rate.csv", function(data) { var years = ["2007", "2008", "2009", "2010", "2011", "2012", "2013", "2014"]; var dataset = []; for (var i = 0; i < data.length; i++) { dataset[i] = { region: data[i].Region, rate: [] }; for (var j = 0; j < years.length; j++) { if (data[i][years[j]]) { dataset[i].rate.push({ year: years[j], amount: data[i][years[j]] }); } } } //console.log(data); 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.rate, function(d) { return +d.amount; }); }), 0 ]); var groups = svg.selectAll("g") .data(dataset) .enter() .append("g") .classed("highlight", function(d) { if (d.region == "Total Espanya" ) { return true; } else { return false; } }); groups.append("title") .text(function(d) {return d.region; }); groups.selectAll("path") .data(function(d) { return [ d.rate ]; }) .enter() .append("path") .attr("class", "line") .attr("d", line) .attr("fill", "none") .attr("stroke", "#A4A4A4") .attr("stroke-width", 1.5); 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] - 5) + ",0)") .call(yAxis); }); </script> </body> </html>
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