- 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)
// 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 |
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)
//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", |
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:
sdvwef |
<h1> I'm a gist!</h1> |