dc
Version:
A multi-dimensional charting library built to work natively with crossfilter and rendered using d3.js
65 lines (55 loc) • 1.97 kB
HTML
<html lang="en">
<head>
<title>dc.js - Scatter Plot 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.compositeChart("#test");
d3.csv("morley.csv", function(error, experiments) {
experiments.forEach(function(x) {
x.Speed = +x.Speed;
});
var ndx = crossfilter(experiments),
scatterDimension = ndx.dimension(function(d) { return [+d.Run, d.Speed * d.Run / 1000]; }),
scatterGroup = scatterDimension.group(),
lineDimension = ndx.dimension(function(d) { return +d.Run; }),
lineGroup = lineDimension.group().reduceSum(function (d) {
return d.Speed * d.Run / 4000;
});
chart
.width(768)
.height(480)
.x(d3.scale.linear().domain([6,20]))
.yAxisLabel("This is the Y Axis!")
.clipPadding(10)
.dimension(scatterDimension)
.brushOn(false)
.legend(dc.legend().x(70).y(10).itemHeight(13).gap(5))
.compose([
dc.scatterPlot(chart)
.group(scatterGroup, "Blue Group")
.colors("blue"),
dc.scatterPlot(chart)
.group(scatterGroup, "Red Group")
.colors("red")
.valueAccessor(function (d) { return d.key[1] + 5; }),
dc.lineChart(chart)
.dimension(lineDimension)
.group(lineGroup, "Line Group")
]);
chart.render();
});
</script>
</div>
</body>
</html>