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> <link rel="stylesheet" type="text/css" href="styles.css"> </head> <body> <h1>Album sales down since 2008</h1> <p>Shown is album sales in the United States by genre. Data provided by <a href="https://www.statista.com/statistics/188910/us-music-album-sales-by-genre-2010/" target="_blank">Statista</a>.</p> <script type="text/javascript"> //Dimensions and padding var w = 700; var h = 500; //Top, right, bottom, left var padding = [ 20, 10, 20, 50 ]; //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("top") .tickFormat(function(d) { return dateFormat(d); }); var yAxis = d3.svg.axis() .scale(yScale) .orient("left") .tickFormat(function(d) { if (d === 0) { return 0; } else { return '$' + d + 'M'; } }); //Configure line generator var line = d3.svg.line() .x(function(d) { return xScale( dateFormat.parse( d['time_interval'] ) ); }) .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("record_sales.csv", function(data) { // Restructed data should look like so: /* [ { 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 }, … ] }, … ] */ //New array with all the years, for referencing later var time_inverals = ["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 num = 0; num < data.length; num++) { //Create new object with this country's name and empty array dataset[num] = { 'name': data[num]['Genre'], 'time_data': [] }; //Loop through all the years for (var num_two = 0; num_two < time_inverals.length; num_two++) { // If value is not empty if ( data[num][time_inverals[num_two]] ) { //Add a new object to the data array //for this entry dataset[num]['time_data'].push({ 'time_interval': time_inverals[num_two], 'amount': data[num][time_inverals[num_two]] }); } } // Close for loop } //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(time_inverals, function(d) { return dateFormat.parse(d); }), d3.max(time_inverals, function(d) { return dateFormat.parse(d); }) ]); yScale.domain([ d3.max(dataset, function(d) { return d3.max(d['time_data'], 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 name (so we get easy tooltips) groups.append("title") .text(function(d) { return d['name']; }); // Within each group, create a new line/path, // binding just the right data to each one var paths = groups.selectAll("path") .data(function(d) { return [ d['time_data'] ]; }) .enter() .append("path") .attr("class", "line") .attr("d", line) .attr("fill", "none") .attr('stroke','steelblue') .attr("stroke-width", 2) .attr("opacity",0); //Axes svg.append("g") .attr("class", "x axis") .attr("transform", "translate(0," + (padding[0]) + ")") .call(xAxis); svg.append("g") .attr("class", "y axis") .attr("transform", "translate(" + (padding[3]) + ",0)") .call(yAxis); // Fade in paths.transition() .duration(2000) .attr("opacity",1) }); //End USA data load function </script> </body></html> Modified http://d3js.org/d3.v3.js to a secure url
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