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xxxxxxxxxx<head> <meta charset="utf-8"> // we add google font api, and set it as default font type within the style tag <link href="https://fonts.googleapis.com/css?family=Open+Sans:400, 600" rel="stylesheet"> <script src="https://d3js.org/d3.v4.min.js"></script> <style> body { margin:0;position:fixed;top:0;right:0;bottom:0;left:0; } .axis .domain { display: none; } text {font-family: 'Open Sans', sans-serif; fill: #000 } </style> // we set the width and height of svg <svg width = "960" height = "500"></svg></head><body> <script> // create svg object var svg = d3.select("svg"), margin = {top: 50, right: 50, bottom: 50, left: 50}, width = +svg.attr("width") - margin.left - margin.right, height = +svg.attr("height") - margin.top - margin.bottom, g = svg.append("g").attr("transform", "translate(" + margin.left + "," +margin.top + ")"); // set the x variable for country names var x = d3.scaleBand() .rangeRound([0,width]) .paddingInner(0.05) .align(0.1); // set the y variable for the GDP value var y = d3.scaleLinear() .rangeRound([height, 0]); // set the z variable, which will be used to stack different GDP components var z = d3.scaleOrdinal() .range(["#69e344", "#448ee3", "#e34469"]); // get data by directly linking to the github raw file d3.csv("https://gist.githubusercontent.com/jk6653284/4c950c3ad690ba403bd0b6f6e21c68b4/raw/9bfa09be5eaf24e5c3f602091b1024828e0252b0/gdp_data.csv", function(d,i,columns) { for (i = 1, t = 0; i < columns.length; ++i) t += d[columns[i]] = +d[columns[i]]; d.total = t; return d; }, // throw error if error exists function(error, data) { if (error) throw error; //console.log(data) // format data so that the numerical variables are in fact numerical data.forEach(function(d) { d.Agricolture = +d.Agricolture; d.Industry = +d.Industry; d.Services = +d.Services; }); // set the keys of stacked bar element, which in this case is every country except the 1st (country column) var keys = data.columns.slice(1); // set domain of x,y,z variables data.sort(function(a,b) { return b.total - a.total;}); x.domain(data.map(function(d) { return d.Country; })); y.domain([0,d3.max(data, function(d) {return d.total;})]).nice(); z.domain(keys); // create stacked bar g.append("g") .selectAll("g") .data(d3.stack().keys(keys)(data)) .enter().append("g") .attr("fill", function(d) {return z(d.key);}) .selectAll("rect") .data(function(d) { return d; }) .enter().append("rect") .attr("x", function(d) { return x(d.data.Country);}) .attr("y", function(d) { return y(d[1]);}) .attr("height", function(d) {return y(d[0]) - y(d[1]); }) .attr("width", x.bandwidth()); // configure x axis labels g.append("g") .attr("class", "axis") .attr("transform", "translate(0,"+height+")") .call(d3.axisBottom(x)) .selectAll("text") .style("text-anchor", "end") .attr("dx", "-.8em") .attr("dy", ".15em") .attr("transform", "rotate(-45)");; // configure y axis labels g.append("g") .attr("class", "axis") .call(d3.axisLeft(y).ticks(null, "s")) .append("text") .attr("x",2) .attr("y", y(y.ticks().pop()) + 0.5) .attr("dy", "0.32em") .attr("fill", "#000") .attr("font-weight", "bold") .attr("text-anchor", "start") .text("GDP"); // create legend for the graph var legend = g.append("g") .attr("font-family", "sans-serif") .attr("font-size", 10) .attr("text-anchor", "end") .selectAll("g") .data(keys.slice().reverse()) .enter().append("g") .attr("transform", function(d, i) { return "translate(0,"+i * 20 + ")"; }); legend.append("rect") .attr("x", width - 19) .attr("width", 19) .attr("height", 19) .attr("fill", z); legend.append("text") .attr("x", width - 24) .attr("y", 9.5) .attr("dy", "0.32em") .text(function(d) { return d; }); // add title g.append("text") .attr("x", (width / 2)) .attr("y", 0 - (margin.top / 2)) .attr("text-anchor", "middle") .style("font-size", "18px") .text("Total GDP by country"); }); </script></body> https://d3js.org/d3.v4.min.js