I have four CSVs with the same header information, each representing a quarterly result within a year.
Therefore for one result I can load it and display it into a d
Like Lars said, you can use the queue library. Here is an example of how this might work:
Step 1) Queue up your files:
<script type="text/javascript" src="http://d3js.org/queue.v1.min.js"></script>
var q = queue()
.defer(d3.csv, "data/first-quarter")
.defer(d3.csv, "data/second-quarter");
Step 2) Wait for the files to load:
q.await(function(error, q1data, q2data) {
Step 3) Add the data to crossfilter:
var ndx = crossfilter();
ndx.add(q1data.map(function(d) {
return { callTypes: d['Call Types'],
callDesc: d['Call Description'],
callVol: d['Call Volume'],
quarter: 'Q1'};
}));
ndx.add(q2data.map(function(d) {
return { callTypes: d['Call Types'],
callDesc: d['Call Description'],
callVol: d['Call Volume'],
quarter: 'Q2'};
}));
Step 4) Use your cross filter as you wish:
var timeDimension = ndx.dimension(function(d){
return d.quarter;
});
dataTable
... //data table attributes
dc.renderAll();
Here is an example using this approach with the dc.js library: https://github.com/dc-js/dc.js/blob/master/web/examples/composite.html