xxxxxxxxxx<html lang="en"> <head> <meta charset="utf-8"> <title>Module 3 exercice</title> <script type="text/javascript" src="https://d3js.org/d3.v3.js"></script> <style type="text/css"> body { background-color: white; } h1 { font-size: 30px; font-family: arial; margin: 2; } p { font-size: 14px; font-family: arial; margin: 15px 0 0 0; } svg { background-color: white; } circle:hover { fill: #635C5C; } path { stroke: gray; stroke-width: 1.5; } g.highlight path { stroke: red; stroke-width: 2; } .axis path, .axis line { fill: none; stroke: black; shape-rendering: crispEdges; } .axis text { font-family: arial; font-size: 12px; } </style> </head> <body><h1>GHG emissions from 1990 to 2012<h1/> <p>Luxembourg, Canada, Australia and the United States are the biggest emitters of greenhouse gases (GHG),<br><br> but Luxembourg improved itself in the last 20 years. Source : <a href="https://stats.oecd.org/">OECD data.<a/></p><script type="text/javascript">//Dimensions and paddingvar w = 900;var h = 600;var padding = [7, 10, 30, 95 ]; //top - 0, right - 1, bottom - 2, left - 3 //formatting dates and yearsvar dateFormat = d3.time.format("%Y");//Set up scalesvar 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 generatorsvar xAxis = d3.svg.axis() .scale(xScale) .orient("bottom") .ticks(10) .tickFormat(function(d) { return dateFormat(d); });var yAxis = d3.svg.axis() .scale(yScale) .orient("left") .tickFormat(function(d) { return d + " kg "; }) ;//from circles to linevar line = d3.svg.line() .x(function(d) { return xScale(dateFormat.parse(d.year)); }) .y(function(d) { return yScale(+d.amount); });//Create the empty SVG imagevar svg = d3.select("body") .append("svg") .attr("width", w) .attr("height", h); //load the datasetd3.csv("melaniejuliendata.csv", function(data) { //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: 1990, amount: 90589.568 }, { year: 1991, amount: 94912.961 }, { year: 1992, amount: 101029.517 }, … ] }, { country: "Belgium", emissions: [ { year: 1990, amount: 176.016 }, { year: 1991, amount: 157.681 }, { year: 1992, 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 = ["1990", "1991", "1992", "1993", "1994", "1995", "1996", "1997", "1998", "1999", "2000", "2001", "2002", "2003", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012"]; //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);////////////////////////// //exercice avec deux csv pour créer deux lignes //d3.csv("canadaGHG.csv", function(canadaData) { //d3.csv("usaGHG.csv", function(usaData) { //Create a new array that contains both the //USA and China data, merged into one //var mergedData = canadaData.concat(usaData); //console.log(mergedData); //Use the newly merged data to determine the //min and max values, for setting scale domains //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 == "Luxembourg" || d.country == "Canada" || d.country == "Australia" || d.country == "United States") { return true; } else { return false; } }); //Append a title with the country name (so we get easy tooltips) groups.append("title") .text(function(d) { return d.country + "'s GHG emissions per capita"; }); //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) .attr("fill", "none") .attr("stroke", "red") .attr("stroke-width", 2); //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] - 5) + ",0)") .call(yAxis); //pour ajouter un nom à mes axes svg.append("text") .attr("class", "label") .attr("transform", "rotate(-90)") .attr("x", -175) .attr("y", 15) .attr("dy", ".91em") .style("text-anchor", "end") .text("per capita, thousand kgs"); });//end for the fisrt csv // });//end for the second csv </script> </body></html> Modified http://d3js.org/d3.v3.js to a secure url
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