Stacked Bar Chart

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:

d3.csv - load and parse data
d3.scale.ordinal - x-position encoding and color encoding
d3.scale.linear - y-position encoding
d3.format - SI prefix formatting (e.g., “10M” for 10,000,000)
d3.max - compute domains
d3.keys - compute column names
d3.svg.axis - display axes

This example doesn’t use d3.layout.stack because it’s easy to just stack each state independently via array.forEach. Here, it makes sense to group the rects by state (column), rather than grouping by age group (series), as you do with a stacked area chart.

forked from boyansky's block: Stacked Bar Chart

<!DOCTYPE html>
<meta charset="utf-8">
<style>

body {
  font: 10px sans-serif;
}

.axis path,
.axis line {
  fill: none;
  stroke: #000;
  shape-rendering: crispEdges;
}

.bar {
  fill: steelblue;
}

.x.axis path {
  display: none;
}

</style>
<body>
<script src="//d3js.org/d3.v3.min.js"></script>
<script>

var margin = {top: 20, right: 20, bottom: 30, left: 40},
    width = 960 - margin.left - margin.right,
    height = 500 - margin.top - margin.bottom;

var x = d3.scale.ordinal()
    .rangeRoundBands([0, width], .5);

var y = d3.scale.linear()
    .rangeRound([height, 0]);

var color = d3.scale.ordinal()
    .range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
var colors = {
  "Heat Rejection":"#9F5164",
  "Heating":"#cb2e2e", 
  "Heat Recovery":"#ED7D30", 
  "Interior Lighting":"#FFDC6F", 
  "Exterior Lighting":"#F4E1AF", 
  "Generators":"#EDEDEE", 
  "Refrigeration":"#dfdfe1",
  "Humidification":"#CDE7CA",
  "Interior Equipment":"#B9EACD",
  "Exterior Equipment":"#B5D0DD",
  "Water Systems":"#66A5D8",
  "Cooling":"#3076B6",
  "Fans":"#604987",
  "Pumps":"#9d5282"
}

var matchKeys = [
  "Case",
  "Heat Rejection",
  "Heating",
  "Heat Recovery",
  "Interior Lighting",
  "Exterior Lighting",
  "Generators",
  "Refrigeration",
  "Humidification",
  "Interior Equipment",
  "Exterior Equipment",
  "Water Systems",
  "Cooling",
  "Fans",
  "Pumps"
]
var xAxis = d3.svg.axis()
    .scale(x)
    .orient("bottom");

var yAxis = d3.svg.axis()
    .scale(y)
    .orient("left")
    .tickFormat(d3.format(".2s"));

var svg = d3.select("body").append("svg")
    .attr("width", width + margin.left + margin.right)
    .attr("height", height + margin.top + margin.bottom)
  .append("g")
    .attr("transform", "translate(" + margin.left + "," + margin.top + ")");

d3.csv("data.csv", function(error, data) {
  if (error) throw error;

color.domain(d3.keys(data[0]).filter(function(key) { return key !== "Case"; }));

data.forEach(function(d) {
    var y0 = 0;
    
    d.ages = color.domain().map(function(name) { return {name: name, y0: y0, y1: y0 += +d[name]}; });
    
    
    d.ages = d.ages.sort(function(a, b) {
      return matchKeys.indexOf(a.name) - matchKeys.indexOf(b.name);
    });
    
    var y0 = 0;
    var aa = d.ages.forEach(function(dd) { 
      dd.y0 = y0;
      dd.y1= y0 += +d[dd.name]
    })
    
    
    d.total = d.ages[d.ages.length - 1].y1;
  });

//data.sort(function(a, b) { return b.total - a.total; });

x.domain(data.map(function(d) { return d.Case; }));
  y.domain([0, d3.max(data, function(d) { return d.total; })]);

svg.append("g")
      .attr("class", "x axis")
      .attr("transform", "translate(0," + height + ")")
      .call(xAxis);

svg.append("g")
      .attr("class", "y axis")
      .call(yAxis)
    .append("text")
      .attr("transform", "rotate(-90)")
      .attr("y", 6)
      .attr("dy", ".71em")
      .style("text-anchor", "end")
      .text("Population");

var state = svg.selectAll(".state")
      .data(data)
    .enter().append("g")
      .attr("class", "g")
      .attr("transform", function(d) { return "translate(" + x(d.Case) + ",0)"; });

state.selectAll("rect")
      .data(function(d) {  return d.ages; })
    .enter().append("rect")
      .attr("width", x.rangeBand())
      .attr("y", function(d) { return y(d.y1); })
      .attr("height", function(d) { return y(d.y0) - y(d.y1); })
      .style("fill", function(d) { console.log(d.name); return colors[d.name]; });

var legend = svg.selectAll(".legend")
      .data(color.domain().slice().reverse())
    .enter().append("g")
      .attr("class", "legend")
      .attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });

legend.append("rect")
			.attr("x", width - 18)
      .attr("width", 18)
      .attr("height", 18)
      .style("fill", function(d) {  return colors[d]; });
  
  legend.append("text")
      .attr("x", width - 24)
      .attr("y", 9)
      .attr("dy", ".35em")
      .style("text-anchor", "end")
      .text(function(d) { return d; });

});

</script>

https://d3js.org/d3.v3.min.js