dc
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A multi-dimensional charting library built to work natively with crossfilter and rendered using d3.js
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HTML
<html lang="en">
<head>
<title>dc.js - A Series Chart as a Range Chart</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>
<p>This page demonstrates a line chart used as a rangeChart after <a href="https://github.com/dc-js/dc.js/issues/479">#479</a>
is fixed by <a href="https://github.com/dc-js/dc.js/pull/1408">#1408</a>.</p>
<div id="test"></div>
<div id="test-overview"></div>
<script type="text/javascript" src="../js/promise-polyfill.js"></script>
<script type="text/javascript" src="../js/fetch.umd.js"></script>
<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 focusChart = dc.seriesChart("#test");
var overviewChart = dc.seriesChart("#test-overview");
var ndx, runDimension, runGroup, overviewRunDimension, overviewRunGroup;
d3.csv("morley.csv").then(function(experiments) {
ndx = crossfilter(experiments);
runDimension = ndx.dimension(function(d) {return [+d.Expt, +d.Run]; });
overviewRunDimension = ndx.dimension(function(d) {return [+d.Expt, +d.Run]; });
runGroup = runDimension.group().reduceSum(function(d) { return +d.Speed; });
overviewRunGroup = overviewRunDimension.group().reduceSum(function(d) { return +d.Speed; });
focusChart
.width(768)
.height(480)
.chart(function(c) { return dc.lineChart(c).curve(d3.curveCardinal).evadeDomainFilter(true); })
.x(d3.scaleLinear().domain([0,20]))
.brushOn(false)
.yAxisLabel("Measured Speed km/s")
.yAxisPadding("5%")
.xAxisLabel("Run")
.elasticY(true)
.dimension(runDimension)
.group(runGroup)
.mouseZoomable(true)
.rangeChart(overviewChart)
.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));
focusChart.yAxis().tickFormat(function(d) {return d3.format(',d')(d+299500);});
focusChart.margins().left += 40;
overviewChart
.width(768)
.height(100)
.chart(function(c) { return dc.lineChart(c).curve(d3.curveCardinal); })
.x(d3.scaleLinear().domain([0,20]))
.brushOn(true)
.xAxisLabel("Run")
.clipPadding(10)
.dimension(runDimension)
.group(runGroup)
.seriesAccessor(function(d) {return "Expt: " + d.key[0];})
.keyAccessor(function(d) {return +d.key[1];})
.valueAccessor(function(d) {return +d.value - 500;});
dc.renderAll();
});
</script>
</div>
</body>
</html>