This is a reimplementation of the Grouped Bar Chart by Mike Bostock. Although useful, I found the original's minimal comments and inverted axes hard to follow, so I created the version you see here.
Created
August 30, 2012 16:25
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Grouped bar
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN" "http://www.w3.org/TR/html4/strict.dtd"> | |
<html lang="en"> | |
<head> | |
<title>Grouped Bar Chart</title> | |
<meta http-equiv="content-type" content="text/html; charset=utf-8"> | |
<!-- JS --> | |
<script type="text/javascript" src="http://code.jquery.com/jquery-1.7.min.js"></script> | |
<script src="http://d3js.org/d3.v2.js"></script> | |
<script type="text/javascript" src="main.js"></script> | |
<script type="text/javascript"> | |
$(document).ready(function () { | |
main(); | |
}); | |
</script> | |
</head> | |
<body> | |
<div id="vis"></div> | |
</body> | |
</html> |
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function main() { | |
// This is a reimplementation of the Grouped Bar Chart by Mike Bostock | |
// (http://bl.ocks.org/882152). Although useful, I found the original's | |
// minimal comments and inverted axes hard to follow, so I created the | |
// version you see here. | |
// First, we define sizes and colours... | |
var outerW = 640; // outer width | |
var outerH = 480; // outer height | |
var padding = { t: 0, r: 0, b: 0, l: 0 }; | |
var w = outerW - padding.l - padding.r; // inner width | |
var h = outerH - padding.t - padding.b; // inner height | |
var c = [ "#E41A1C", "#377EB8", "#4DAF4A" ]; // ColorBrewer Set 1 | |
// Second, we define our data... | |
// Create a two-dimensional array. | |
// The first dimension has as many Array elements as there are series. | |
// The second dimension has as many Number elements as there are groups. | |
// It looks something like this... | |
// var data = [ | |
// [ 0.10, 0.09, 0.08, 0.07, 0.06, ... ], // series 1 | |
// [ 0.10, 0.09, 0.08, 0.07, 0.06, ... ], // series 2 | |
// [ 0.10, 0.09, 0.08, 0.07, 0.06, ... ] // series 3 | |
// ]; | |
var numberGroups = 10; // groups | |
var numberSeries = 3; // series in each group | |
var data = d3.range(numberSeries).map(function () { return d3.range(numberGroups).map(Math.random); }); | |
// Third, we define our scales... | |
// Groups scale, x axis | |
var x0 = d3.scale.ordinal() | |
.domain(d3.range(numberGroups)) | |
.rangeBands([0, w], 0.2); | |
// Series scale, x axis | |
// It might help to think of the series scale as a child of the groups scale | |
var x1 = d3.scale.ordinal() | |
.domain(d3.range(numberSeries)) | |
.rangeBands([0, x0.rangeBand()]); | |
// Values scale, y axis | |
var y = d3.scale.linear() | |
.domain([0, 1]) // Because Math.random returns numbers between 0 and 1 | |
.range([0, h]); | |
// Visualisation selection | |
var vis = d3.select("#vis") | |
.append("svg:svg") | |
.attr("width", outerW) | |
.attr("height", outerH); | |
// Series selection | |
// We place each series into its own SVG group element. In other words, | |
// each SVG group element contains one series (i.e. bars of the same colour). | |
// It might be helpful to think of each SVG group element as containing one bar chart. | |
var series = vis.selectAll("g.series") | |
.data(data) | |
.enter().append("svg:g") | |
.attr("class", "series") // Not strictly necessary, but helpful when inspecting the DOM | |
.attr("fill", function (d, i) { return c[i]; }) | |
.attr("transform", function (d, i) { return "translate(" + x1(i) + ")"; }); | |
// Groups selection | |
var groups = series.selectAll("rect") | |
.data(Object) // The second dimension in the two-dimensional data array | |
.enter().append("svg:rect") | |
.attr("x", 0) | |
.attr("y", function (d) { return h - y(d); }) | |
.attr("width", x1.rangeBand()) | |
.attr("height", y) | |
.attr("transform", function (d, i) { return "translate(" + x0(i) + ")"; }); | |
} |
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