I have the problem of trying to import a geojson (this seems to work) but then passing it onto crossfilter - no data seems to be loaded into the crossfilter object.
I made a jsfiddle here: https://jsfiddle.net/Svarto/pLyhg9Lb/
When I try to console.log(ndx), i.e. the crossfilter, I only get the crossfilter object with nothing loaded (same when I try to console.log any sort of group:
I would have expected some sort of data when writing the crossfilter with loaded data to console. The problem gets evident when I try to draw a histogram with the data - only 2 bars that are not what I expected.
The code is this:
d3.json("https://dl.dropboxusercontent.com/s/7417jc3ld25i0a4/srealitky_geojson.json?dl=1", function(err,json){
var h = 300;
var w = 350;
var ndx = crossfilter();
console.log(json.features);
ndx.add(json.features);
console.log(ndx);
var all = ndx.groupAll();
var yieldDimension = ndx.dimension(function(d){
return d.properties.yields
});
var yieldGroup = yieldDimension.group().reduceCount();
console.log(yieldGroup);
var priceDimension = ndx.dimension(function(d){
return d.properties.price
});
var priceGroup = priceDimension.group().reduceCount();
var barChart = dc.barChart("#yieldChart");
barChart.width(350)
.height(300)
.x(d3.scale.linear().domain([0,30]))
.brushOn(false)
.dimension(yieldDimension)
.group(yieldGroup);
dc.renderAll();
}
As pointed out by @Nilo above, the problem is not the reading of json data but the setup of your coordinates.
You probably want to bin your data by rounding to, say, a precision of 0.01:
var yieldGroup = yieldDimension.group(function(yields) {
return Math.floor(yields*100)/100;
}).reduceCount();
Then clean up the margins, add elasticX
and elasticY
, and specify the xUnits
to match, and we get a nice histogram (with a normal-ish distribution):
barChart
.margins({left: 50, top: 5, right: 0, bottom: 20})
.x(d3.scale.linear())
.elasticX(true).elasticY(true)
.xUnits(dc.units.fp.precision(0.01))
See the documentation for coordinateGridMixin for more details.