dc
Version:
A multi-dimensional charting library built to work natively with crossfilter and rendered using d3.js
70 lines (61 loc) • 2.17 kB
HTML
<html lang="en">
<head>
<title>dc.js - Row Chart with Vertical Line</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/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 chart = dc.rowChart("#test");
d3.csv("morley.csv").then(function(experiments) {
experiments.forEach(function(x) {
x.Speed = +x.Speed;
});
var ndx = crossfilter(experiments),
runDimension = ndx.dimension(function(d) {return +d.Run;}),
speedSumGroup = runDimension.group().reduceSum(function(d) {return d.Speed * d.Run / 1000;});
chart
.width(768)
.height(480)
.x(d3.scaleLinear().domain([6,20]))
.elasticX(true)
.dimension(runDimension)
.group(speedSumGroup)
.on('pretransition', function(chart) {
var x_vert = 45;
var extra_data = [
{x: chart.x()(x_vert), y: 0},
{x: chart.x()(x_vert), y: chart.effectiveHeight()}
];
var line = d3.line()
.x(function(d) { return d.x; })
.y(function(d) { return d.y; })
.curve(d3.curveLinear);
var chartBody = chart.select('g');
var path = chartBody.selectAll('path.extra').data([extra_data]);
path = path.enter()
.append('path')
.attr('class', 'oeExtra')
.attr('stroke', 'red')
.attr('id', 'oeLine')
.attr("stroke-width", 1)
.style("stroke-dasharray", ("10,3"))
.merge(path);
path.attr('d', line);
});
chart.render();
});
</script>
</div>
</body>
</html>