dc
Version:
A multi-dimensional charting library built to work natively with crossfilter and rendered using d3.js
67 lines (56 loc) • 1.99 kB
HTML
<html lang="en">
<head>
<title>dc.js - Series Example</title>
<meta charset="UTF-8">
<link rel="stylesheet" type="text/css" href="../css/bootstrap.min.css">
<link rel="stylesheet" type="text/css" href="../css/dc.css"/>
</head>
<body>
<div class="container">
<script type="text/javascript" src="header.js"></script>
<div id="test"></div>
<script type="text/javascript" src="../js/d3.js"></script>
<script type="text/javascript" src="../js/crossfilter.js"></script>
<script type="text/javascript" src="../js/dc.js"></script>
<script type="text/javascript">
var chart = dc.seriesChart("#test");
var ndx, runDimension, runGroup;
d3.csv("morley.csv", function(error, experiments) {
ndx = crossfilter(experiments);
runDimension = ndx.dimension(function(d) {return [+d.Expt, +d.Run]; });
runGroup = runDimension.group().reduceSum(function(d) { return +d.Speed; });
var symbolScale = d3.scale.ordinal().range(d3.svg.symbolTypes);
var symbolAccessor = function(d) { return symbolScale(d.key[0]); };
var subChart = function(c) {
return dc.scatterPlot(c)
.symbol(symbolAccessor)
.symbolSize(8)
.highlightedSize(10)
};
chart
.width(768)
.height(480)
.chart(subChart)
.x(d3.scale.linear().domain([0,20]))
.brushOn(false)
.yAxisLabel("Measured Speed km/s")
.xAxisLabel("Run")
.clipPadding(10)
.elasticY(true)
.dimension(runDimension)
.group(runGroup)
.mouseZoomable(true)
.shareTitle(false) // allow default scatter title to work
.seriesAccessor(function(d) {return "Expt: " + d.key[0];})
.keyAccessor(function(d) {return +d.key[1];})
.valueAccessor(function(d) {return +d.value - 500;})
.legend(dc.legend().x(350).y(350).itemHeight(13).gap(5).horizontal(1).legendWidth(140).itemWidth(70));
chart.yAxis().tickFormat(function(d) {return d3.format(',d')(d+299500);});
chart.margins().left += 40;
dc.renderAll();
});
</script>
</div>
</body>
</html>