xxxxxxxxxx<html lang="en"> <head> <meta charset="utf-8"> <title>Data on weapons exports in the world</title> <script type="text/javascript" src="https://d3js.org/d3.v3.js"></script> <style type="text/css"> body { font-family: Helvetica, Arial, sans-serif; font-weight: normal; } h1,h2,h3,p { line-height:0.3em; font-weight: normal; } h2,h3,p { color: grey; } h1 { text-transform:uppercase; font-size:18px; } h2 { font-size:14px; } h3 { font-size:11px; } p { font-size:8px; } .axis path, .axis line { fill: none; stroke: black; shape-rendering: crispEdges; } g.highlight path { fill: violet; opacity: 0.4; } g.highlight2 path { fill: red; opacity: 0.2; } .axis text { font-family: sans-serif; font-size: 11px; color: } .y.axis path, .x.axis path { opacity: 0; } </style> </head> <body> <h1>Who is exporting weapons worldwide?</h1> <h2>Weapons exports by country, <a href="https://www.sipri.org/databases/yy_armstransfers/background/explanations2_default">TIV</a>, 1995-2014</h2> <h3>Source, <a href="https://armstrade.sipri.org/armstrade/page/values.php">SIPRI</a>, 1995-2014</h3> <script type="text/javascript"> //Defines a bunch of variables to be used later in the chart, makes life easier when wanting to change some stuff //1 width and height of the svg element var w = 600; var h = 500; //2 padding variables, defines various white spaces in the chart var padding = [ 20, 10, 30, 80 ]; //Top, right, bottom, left //3 Set up date formatting and years var dateFormat = d3.time.format("%Y"); //4 creates the scale for axis, the scale needs to be created before the axis itself //linear scale, basically a scale for continuous numbers,range defines the length of the scale var xScale = d3.time.scale() .range([ padding[3], w-padding[3]-padding[1]]); var yScale = d3.scale.linear() .range([padding[0], h- padding[2]]); //5 creates both axis 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"); //6 Initialize area generator var area = d3.svg.area() .x(function(d) { return xScale(dateFormat.parse(d.year)); }) .y0(h - padding[2]) .y1(function(d) { return yScale(+d.tiv); }); //creates empty svg element var svg = d3.select("body").append("svg").attr("width",w).attr("height",h); //load the data d3.csv("WeaponsExport19952014.csv", function(data) { //Before doing anything, data need to be transformed to be easily manipulated in D3 //Our example is actually very similar to the one used by Scott //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 'tiv' 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", wexports: [ { year: 1961, tiv: 90589.568 }, { year: 1962, tiv: 94912.961 }, { year: 1963, tiv: 101029.517 }, � ] }, { country: "Bermuda", wexports: [ { year: 1961, tiv: 176.016 }, { year: 1962, tiv: 157.681 }, { year: 1963, tiv: 150.347 }, � ] }, � ] */ //Note that this is an array of objects. Each object //contains two values, 'country' and 'wexports'. //The 'wexports' value is itself an array, containing //more objects, each one holding 'year' and 'tiv' values. //New array with all the years, for referencing later var years = ["1995", "1996", "1997", "1998", "1999", "2000", "2001", "2002", "2003", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012", "2013", "2014"]; //Create a new, empty array to hold our restructured dataset var dataset = []; //The loop below generates the new data set, it creates an array as described above //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, wexports: [] }; //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].wexports.push({ year: years[j], tiv: 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.wexports, function(d) { return +d.tiv; }); }), 0 ]); //console.log(xScale.domain()); //console.log(yScale.domain()); //Make a group for each country var groups = svg.selectAll("g") .data(dataset) .enter() .append("g") .classed("highlight", function(d) { if (d.country == "United States") { return true; } else { return false; } }) .classed("highlight2", function(d) { if (d.country == "Russia") { return true; } else { return false; } }); console.log(groups); //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 TIV data to each one groups.selectAll("path") .data(function(d) { return [ d.wexports ]; }) .enter() .append("path") .attr("class", "area") .attr("d", area) .attr("fill", "steelblue") .attr("stroke", "none") .attr("opacity", 0.1); //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); }); /* */ </script> </body></html> Modified http://d3js.org/d3.v3.js to a secure url
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