This stacked bar chart is constructed from a CSV file storing the populations of different states by age group. The chart employs conventional margins and a number of D3 features:
forked from mbostock's block: Stacked Bar Chart
xxxxxxxxxx<meta charset="utf-8"><style>.bar { fill: steelblue;}.axis path { display: none;}</style><svg width="960" height="500"></svg><script src="//d3js.org/d3.v4.min.js"></script><script>var svg = d3.select("svg"), margin = {top: 20, right: 20, bottom: 30, left: 40}, 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 + ")");var x = d3.scaleBand() .rangeRound([0, width]) .padding(0.1) .align(0.1);var y = d3.scaleLinear() .rangeRound([height, 0]);var z = d3.scaleOrdinal() .range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);var stack = d3.stack();var parseDate = d3.timeParse("%m/%d/%Y");var formatMonth = d3.timeFormat("%m-%y"); d3.csv("data.csv", type, function(error, data) { if (error) throw error; data.forEach(function(d) { d.Date = +parseDate(d.Date); var month = formatMonth(d.Date); d.month = month; //console.log(data[0]); //d.categories = color.domain().map(function(Category) { return {month:month, Category: Category, y0: y0, y1: y0 += +d[Category]}; }); //d.total = d.categories[d.categories.length - 1].y1; }); x.domain([d3.min(data, function(d) { return d.month; }),d3.max(data, function(d) { return d.month; })]); //x domain map to month y.domain([0, d3.max(data, function(d) { return d.Amount; })]).nice(); //y domain needs to map to amount by month z.domain(function(d) { return d.Category; }); //z domain needs to map to categories g.selectAll(".serie") .data(stack.keys(data.columns.slice(1))(data)) .enter().append("g") .attr("class", "serie") .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.month); }) .attr("y", function(d) { return y(d[1]); }) .attr("height", function(d) { return y(d[0]) - y(d[1]); }) .attr("width", x.bandwidth()); g.append("g") .attr("class", "axis axis--x") .attr("transform", "translate(0," + height + ")") .call(d3.axisBottom(x)); g.append("g") .attr("class", "axis axis--y") .call(d3.axisLeft(y).ticks(10, "s")) .append("text") .attr("x", 2) .attr("y", y(y.ticks(10).pop())) .attr("dy", "0.35em") .attr("text-anchor", "start") .attr("fill", "#000") .text("Population"); var legend = g.selectAll(".legend") .data(z.domain()) .enter().append("g") .attr("class", "legend") .attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; }) .style("font", "10px sans-serif"); legend.append("rect") .attr("x", width - 18) .attr("width", 18) .attr("height", 18) .attr("fill", z); legend.append("text") .attr("x", width - 24) .attr("y", 9) .attr("dy", ".35em") .attr("text-anchor", "end") .text(function(d) { return d; });});function type(d, i, columns) { for (i = 1, t = 0; i < columns.length; ++i) t += d[columns[i]] = +d[columns[i]]; d.total = t; return d;}</script> https://d3js.org/d3.v4.min.js