danroberts

This is a fork of mbostock's grouped bar chart example, to demonstrate how to use crossfilter to produce the same result.

This grouped bar chart is constructed from a CSV file storing the populations of different states by age group. The chart employs conventional margins and a number of D3 features:

d3.csv - load and parse data
d3.scale.ordinal - x-position encoding and color encoding
d3.scale.linear - y-position encoding
d3.format - SI prefix formatting (e.g., “10M” for 10,000,000)
d3.max - compute domains
d3.keys - compute column names

	var $super = function(funcName){
	funcName = funcName \|\| 'initialize';
	// _.bindAll messes upp constructor
	// TODO: Add more tests with multiple inheritance
	var _super = this.constructor.__super__ \|\| this.__proto__.constructor.__super__;
	return _super[funcName].apply(this, _.rest(arguments));
	},

	_$super = function(funcName){
	funcName = funcName \|\| 'initialize';

	#!/usr/bin/env node

	/*
	PO parser from http://jsgettext.berlios.de/lib/Gettext.js
	adapted for Node.js and modified to be more like po2json.pl
	- Zach Carter <zcarter@cse.usf.edu>

	Further adapted to be used inside a node.js environment instead of the command line. Import with a require statement:
	var po2json = require('po2json.js')
	po2json.parse('filename', function(result) {