Huston Hedinger hdngr

TopoJSON Time Zones

download the Natural Earth 1:10m Time Zone Data (GeoJSON available from CartoDB)
run topojson --post-quantization 1e3 --simplify 1e-5 --out timezones.json -- ne_10m_time_zones.geojson

The result is this 181 KB timezones.json (36 KB with gzip)

This simple line chart is constructed from a TSV file storing the closing value of AAPL stock over the last few years. The chart employs conventional margins and a number of D3 features:

d3.tsv - load and parse data
d3.time.format - parse dates
d3.time.scale - x-position encoding
d3.scale.linear - y-position encoding
d3.extent - compute domains
d3.svg.axis - display axes
d3.svg.line - display line shape

An (almost) 1 for 1 of @mbostock's 4063582 with text box sizing adjusted based on size of box.... Found this instead of finishing.

	// Property stores a relationship to another model/table called Occupancy
	// Occupancy is a set of projections for each month. Occupancy projections when relevant data is updated... Leases, property leasable sqft,
	// etc.

	// The core challenge trying to solve for is that filtering and sorting based on occupancy introduces complexities and will likely be hard to maintain.

	// The two courses of action are:
	// 1) deal with complexity of managing relationship to do advanced sorting on property based on "current month" occupancy
	// 2) create Property.occupancyThisMonth which is updated whenever occupancy is updated AND at the end of each month

	//and a stab at the type file Folder.ts:
	import { objectType, extendType, arg } from 'nexus'
	import { isLuminaAdmin } from '../auth'
	export const Folder = objectType({
	name: 'Folder',
	definition(t) {
	t.model.id()
	t.model.name()
	t.model.parent()
	t.model.children()

	[

	{
	"name": "Yellow",
	"munsell_hue": "Y",
	"hex": "#FFFF00",
	"children": [
	{
	"name": "Cadmium Yellow Light",
	"company": "Liquitex",