I'm making a bar chart using the Dimensional Charting javascript library dc.js, which is based on d3 and crossfilter.
All I want to do is display a histogram with a specified number of bins, this should be easy using the barChart
function.
I have an array called data
which contains floating-point values between 0 and 90000, and I just want to display the distribution using a histogram with 10 bins.
I use the following code to produce the histogram below:
var cf = crossfilter(data);
var dim = cf.dimension(function(d){ return d[attribute.name]; });
var n_bins = 10;
var xExtent = d3.extent(data, function(d) { return d[attribute.name]; });
var binWidth = (xExtent[1] - xExtent[0]) / n_bins;
grp = dim.group(function(d){return Math.floor(d / binWidth) * binWidth;});
chart = dc.barChart("#" + id_name);
chart.width(200)
.height(180)
.margins({top: 15, right: 10, bottom: 20, left: 40})
.dimension(dim)
.group(grp)
.round(Math.floor)
.centerBar(false)
.x(d3.scale.linear().domain(xExtent).range([0,n_bins]))
.elasticY(true)
.xAxis()
.ticks(4);
That doesn't really look right: each bar is really skinny! I want a normal looking histogram, where the bars are thick and nearly touch each other, with maybe a couple of pixels of padding between each bar. Any idea what I'm doing wrong?