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A Grouped Bar Chart of Perceived Success Criteria

This grouped bar chart is constructed from a CSV file storing the populations of different states by age group. This is an attempt to improve on this visualization. The chart employs conventional margins and a number of D3 features:

You can see it fully rendered here: /clashthebunny/83d21db6af87fdc90cc4

Be sure to "Open in a new window", so you can see the second graph: /clashthebunny/83d21db6af87fdc90cc4/example/

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

<!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;
}

h2 {
  text-align: center;
}

.chart text {
  fill: white;
  font: 10px sans-serif;
  text-anchor: end;
}

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

var margin = {top: 20, right: 20, bottom: 90, left: 40},
    width = 960 - margin.left - margin.right,
    height = 500 - margin.top - margin.bottom;

d3.select("body")
  .append("h2")
  .text("Belief in Factors of Success by Socioeconomic Status")

var x0Within = d3.scale.ordinal()
    .rangeRoundBands([0, width], .1);

var x1Within = d3.scale.ordinal();

var yWithin = d3.scale.linear()
    .range([height, 0]);

var x0Between = d3.scale.ordinal()
    .rangeRoundBands([0, width], .1);

var x1Between = d3.scale.ordinal();

var yBetween = d3.scale.linear()
    .range([height, 0]);

var color = d3.scale.ordinal()
    .range(['rgb(166,206,227)','rgb(31,120,180)','rgb(178,223,138)','rgb(51,160,44)','rgb(251,154,153)','rgb(227,26,28)','rgb(253,191,111)','rgb(255,127,0)']);

var xAxisWithin = d3.svg.axis()
    .scale(x0Within)
    .orient("bottom");

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

var xAxisBetween = d3.svg.axis()
    .scale(x0Between)
    .orient("bottom");

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

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

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

var dataObj = {};

d3.csv("data.csv", function(error, data) {

var ses = {list: []};

data.forEach( function(row,i) {
    ses[row.popSegment] = i;
    ses.list.push(row.popSegment);
  })

var successFactors = d3.keys(data[0]).filter(function(key) { return key !== "popSegment"; });

successFactors.sort(function(a,b) {
    return data[ses["Rich"]][b] - data[ses["Rich"]][a];
  })

var dataBetween = [];
  successFactors.forEach(function(factor) {
    dataBetween.push({name: factor,
                      "Poor": data[ses.Poor][factor],
                      "Middle": data[ses.Middle][factor],
                      "Rich": data[ses.Rich][factor]});
  })

data.forEach(function(d) {
    d.factors = successFactors.map(function(name) { return {name: name, value: +d[name]}; });
  });

dataBetween.forEach(function(d) {
    d.opinions = ses.list.map(function(name) { return {name: name, value: +d[name]}; });
  });

x0Within.domain(data.map(function(d) { return d.popSegment; }));             // Poor Middle and Rich
  x1Within.domain(successFactors).rangeRoundBands([0, x0Within.rangeBand()]);  // Factors

yWithin.domain([0, d3.max(data, function(d) { return d3.max(d.factors, function(d) { return d.value; }); })]);  // Same for both

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

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

var socialClass = svgWithin.selectAll(".socialClass")
      .data(data)                                                                                 // List of objects, each with popSegment refering to above x0within
    .enter().append("g")
      .attr("class", "g")
      .attr("transform", function(d) { return "translate(" + x0Within(d.popSegment) + ",0)"; });

var bar = socialClass.selectAll("rect")
    .data(function(d) { return d.factors; })
    .enter().append("g")

bar.append("rect")
      .attr("width", x1Within.rangeBand())
      .attr("x", function(d) { return x1Within(d.name); })
      .attr("y", function(d) { return yWithin(d.value); })
      .attr("height", function(d) { return height - yWithin(d.value); })
      .style("fill", function(d) { return color(d.name); });

bar.append("text")
      .attr("x", function(d) { return x1Within(d.name) + 7; })
      .attr("y", function(d) { return yWithin(d.value) + 15; })
      .text(function(d) { return d.value + "%"; });

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

legendWithin.append("rect")
      .attr("x", width - 18)
      .attr("width", 18)
      .attr("height", 18)
      .style("fill", color);

legendWithin.append("text")
      .attr("x", width - 24)
      .attr("y", 9)
      .attr("dy", ".35em")
      .style("text-anchor", "end")
      .text(function(d) { return d; });

x0Between.domain(dataBetween.map(function(d) { return d.name; }));         // Factors
  x1Between.domain(ses.list).rangeRoundBands([0, x0Between.rangeBand()]);    // Poor Middle Rich

yBetween.domain([0, d3.max(data, function(d) { return d3.max(d.factors, function(d) { return d.value; }); })]);

svgBetween.append("g")
      .attr("class", "x axis")
      .attr("transform", "translate(0," + height + ")")
      .call(xAxisBetween)
    .selectAll("text")
      .style("text-anchor", "end")
      .attr("x", -9)
      .attr("y", 0)
      .attr("transform", "rotate(-40)");

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

var factors = svgBetween.selectAll(".factors")
      .data(dataBetween)                                                                    // List of objects, each with a name of cause
    .enter().append("g")
      .attr("class", "g")
      .attr("transform", function(d) { return "translate(" + x0Between(d.name) + ",0)"; });

console.log(data,dataBetween,ses)

var bar = factors.selectAll("rect")
      .data(function(d) { return d.opinions; })                                              // For each factor, we need a list of social oppinions
    .enter().append("g");

bar.append("rect")
      .attr("width", x1Between.rangeBand())
      .attr("x", function(d) { return x1Between(d.name); })
      .attr("y", function(d) { return yBetween(d.value); })
      .attr("height", function(d) { return height - yBetween(d.value); })
      .style("fill", function(d) { return color(d.name); });

bar.append("text")
      .attr("x", function(d) { return x1Between(d.name) + 7; })
      .attr("y", function(d) { return yBetween(d.value) + 15; })
      .text(function(d) { return d.value + "%"; });

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

legendBetween.append("rect")
      .attr("x", width - 18)
      .attr("width", 18)
      .attr("height", 18)
      .style("fill", color);

legendBetween.append("text")
      .attr("x", width - 24)
      .attr("y", 9)
      .attr("dy", ".35em")
      .style("text-anchor", "end")
      .text(function(d) { return d; });
});

</script>