Ryan Pitts ryanpitts

I hereby claim:

I am ryanpitts on github.
I am ryanpitts (https://keybase.io/ryanpitts) on keybase.
I have a public key whose fingerprint is 1E15 6202 4D0A 5B10 388D 0966 257B 2087 4726 63F0

To claim this, I am signing this object:

	// the issue here: We want to ignore census "label columns" for certain charts.
	// We can identify these columns by the ".5" in their columnID. We're working
	// from a `comparison.table.columns` object, which has columnIDs as keys. So
	// the job here is to ignore all the columns in this object that have a "."
	// in their key, and process the rest into chart data.


	// one way is to grab a set of keys without ".", then make an object out of
	// the columns that match the "good" keys, and process those for the chart

	// A user may need to view a column name in isolation, with no context
	// as to its level of indent. Prefixed column names allow this:
	//
	// Female
	// Car, truck or van
	// Carpooled
	// In 2-person carpool
	//
	// to be represented as:
	//

	class Ball(object):
	def __init__(self, size, color):
	self.size = size
	self.color = color
	self.shape = 'spherical'

	class ImaginaryBallCreature(Ball):
	def __init__(self, size, color, requires_brushing, has_been_photographed):
	Ball.__init__(self, size, color)
	self.is_imaginary = True

	{
	"geography": {
	"census_release": "ACS 2012 5-year",
	"parents": {
	"county": {
	"total_population": 43890,
	"short_name": "Sweetwater County",
	"land_area": 27004865143,
	"sumlevel": "050",
	"full_name": "Sweetwater County, WY",

	<meta property="og:title" content="Census profile: Evanston, IL" />
	<meta property="og:site_name" content="Census Reporter" />
	<meta property="og:url" content="http://censusreporter.org/profiles/16000US1724582-evanston-il" />
	<meta property="og:description" content="Population data and dollar figures from Evanston, broken down by category: Demographics, Economics, Families, Housing and Social." />
	<meta property="og:type" content="article" />

	<meta name="twitter:card" content="summary">
	<meta name="twitter:site" content="@CensusReporter">
	<meta name="twitter:creator" content="@CensusReporter">
	<meta name="twitter:title" content="Census profile: Evanston, IL">

	chart.mousemove = function() {
	var mouseTop = d3.mouse(this)[1],
	mouseLeft = d3.mouse(this)[0],
	bufferTop = chart.screenPosition.top + mouseTop - chart.hovercard.dimensions.height,
	bufferRight = browserWidth - (chart.screenPosition.left + mouseLeft + chart.hovercard.dimensions.width);

	chart.hovercard.position = {
	top: (bufferTop < 10) ? mouseTop + 5 : mouseTop - chart.hovercard.dimensions.height - 5,
	left: (bufferRight < 10) ? mouseLeft - chart.hovercard.dimensions.width - 5 : mouseLeft + 5
	}