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web/examples: add table-onaggregated-data #929

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73 changes: 73 additions & 0 deletions web/examples/table-on-aggregated-data.html
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<!DOCTYPE html>
<html lang="en">
<head>
<title>dc.js - Bar Chart Example</title>
<meta charset="UTF-8">
<link rel="stylesheet" type="text/css" href="../css/dc.css"/>
</head>
<body>

<table id="test">
<thead>
<tr>
<th>Expt</th>
<th>#Run</th>
<th>Avg(Speed)</th>
</tr>
</thead>
</table>

<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.dataTable("#test");
d3.csv("morley.csv", function(error, experiments) {
/* We will create a table that sorts the experiments
from the one that has the highest average speed
to the one that has the lowest average speed
*/
/* To do so, we need:
- that the .group() is defined, and returns the same value for all elements
- the .order() is defined & defined to something else than the default value which seems to
be either d3.ascending or descending. (a method that is undefined for .reduce()-d
dimension groups is called else).
*/
var ndx = crossfilter(experiments),
exptDimension = ndx.dimension(function(d) {return +d.Expt;}),
groupedDimension = exptDimension.group().reduce(
function (p, v) {
++p.number;
p.total += +v.Speed;
p.avg = Math.round(p.total / p.number);
return p;
},
function (p, v) {
--p.number;
p.total -= +v.Speed;
p.avg = (p.number == 0) ? 0 : Math.round(p.total / p.number);
return p;
},
function () {
return {number: 0, total: 0, avg: 0}
}),
rank = function (p) { return "rank" };

chart
.width(768)
.height(480)
.dimension(groupedDimension)
.group(rank)
.columns([function (d) { return d.key },
function (d) { return d.value.number },
function (d) { return d.value.avg }])
.sortBy(function (d) { return d.value.avg })
.order(d3.descending)
chart.render();
});

</script>

</body>
</html>