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:
forked from danroberts's block: Grouped Bar Chart with Crossfilter
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<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["State"], d["Age Range"]];
})
var stateAgeGroup = stateAgeNames.group().reduceSum(function(d) {
return d.Population;
});
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("Population");
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