xxxxxxxxxx<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: white; font-family: Helvetica, Arial, sans-serif; } h1 { font-size: 24px; margin: 0; } p { font-size: 14px; margin: 10px 0 0 0; } svg { background-color: white; } circle:hover { fill: orange; } g path { fill: none; stroke: #999; opacity: 0.5; stroke-width: 2; } .axis path, .axis line { fill: none; stroke: black; shape-rendering: crispEdges; stroke-width: 1; } .axis text { font-family: sans-serif; font-size: 11px; } g.highlight path { fill: none; stroke: steelblue; stroke-width: 2; opacity: 0.7; } text.label { font-family: sans-serif; font-size: 14px; fill: none; } text.context { fill: #666; } text.highlight { fill: steelblue; } text.over { fill: orange; } g path:hover { fill: none; stroke: orange; opacity: 1; stroke-width: 3; } </style> </head> <body> <h1>External debt stocks, total (DOD, current US$) </h1> <p> Total external debt is debt owed to nonresidents repayable in foreign currency, goods, or services. Total external debt is the sum of public, publicly guaranteed, and private nonguaranteed long-term debt, use of IMF credit, and short-term debt. Short-term debt includes all debt having an original maturity of one year or less and interest in arrears on long-term debt. Data are in current U.S. dollars. Source: World Bank, Global Development Finance. </p> <p> How emerging BRICS (Brazil, Russia, India, China and South Africa) play in the scene. </p> <p> Source: <a href="https://data.worldbank.org/indicator/DT.DOD.DECT.CD">World Bank</a>, 2014</p> <script type="text/javascript"> //Dimensions and padding var w = 900; var h = 600; var padding = [ 20, 10, 50, 100 ]; //Top, right, bottom, left //Set up date formatting and years var dateFormat = d3.time.format("%Y"); //Set up scales var xScale = d3.time.scale() .range([ padding[3], w - padding[1] - padding[3] ]); var yScale = d3.scale.linear() .range([ padding[0], h - padding[2] ]); //Configure axis generators var xAxis = d3.svg.axis() .scale(xScale) .orient("bottom") .ticks(15) .tickFormat(function(d) { return dateFormat(d); }); var yAxis = d3.svg.axis() .scale(yScale) .tickFormat(function (d) { return "$ " + 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]) + ")") .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> Modified http://d3js.org/d3.v3.js to a secure url
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