Grouped Bar Chart with Crossfilter

This is a fork of mbostock's grouped bar chart example, to demonstrate how to use crossfilter to produce the same result.

This grouped 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

forked from danroberts's block: Grouped Bar Chart with Crossfilter

forked from anonymous's block: Grouped Bar Chart with Crossfilter

<!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="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/crossfilter/1.3.12/crossfilter.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 x0 = d3.scale.ordinal()
    .rangeRoundBands([0, width], .1);

var x1 = d3.scale.ordinal();

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

var color = d3.scale.ordinal()
    .range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);

var xAxis = d3.svg.axis()
    .scale(x0)
    .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;

var ndx = crossfilter(data);
  var stateAgeNames = ndx.dimension(function(d) {
    return [d["Year"], d["Metric"]];
  })

var stateAgeGroup = stateAgeNames.group().reduceSum(function(d) {
    return d.Value;
  });

var stateAccessor = function(d) {
    return d.key[0];
  }

var ageNameAccessor = function(d) {
    return d.key[1];
  }

var populationAccessor = function(d) {
    return d.value;
  }

var filteredData = stateAgeGroup.all();
  console.log('filteredData', filteredData);

var ageNames = d3.set(filteredData.map(ageNameAccessor)).values()
  var states = d3.set(filteredData.map(stateAccessor)).values()
  var maxPopulation = d3.max(filteredData.map(populationAccessor));
  console.log(maxPopulation)

x0.domain(states);
  x1.domain(ageNames).rangeRoundBands([0, x0.rangeBand()]);
  y.domain([0, maxPopulation]);

var nestedData = d3.nest()
    .key(stateAccessor)
    .key(ageNameAccessor)
    .rollup(function(d) {
      return {"value": populationAccessor(d[0])};
    })
    .entries(filteredData)

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("Value");

var state = svg.selectAll(".state")
      .data(nestedData)
    .enter().append("g")
      .attr("class", "g")
      .attr("transform", function(d) { return "translate(" + x0(d.key) + ",0)"; });

state.selectAll("rect")
      .data(function(d) { return d.values } )
    .enter().append("rect")
      .attr("width", x1.rangeBand())
      .attr("x", function(d) { console.log((d.values.value)); return x1( d.key ); })
      .attr("y", function(d) { return y(d.values.value); })
      .attr("height", function(d) { return height - y(d.values.value); })
      .style("fill", function(d) { return color(d.key); });

var legend = svg.selectAll(".legend")
      .data(ageNames.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", color);

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

});

</script>

https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js

https://cdnjs.cloudflare.com/ajax/libs/crossfilter/1.3.12/crossfilter.min.js