Visualization toolmaker. Founder @observablehq. Creator @d3. Former @nytgraphics. Pronounced BOSS-tock.
Published
Edited
Nov 5, 2019
1 fork
16 stars
least = {
const f = d3.least(divisions.objects.divisions.geometries, f => temperatures.get(f.properties.CLIMDIV).variation);
const values = temperatures.get(f.properties.CLIMDIV);
return {...f, properties: {...f.properties, values}};
}
greatest = {
const f = d3.greatest(divisions.objects.divisions.geometries, f => temperatures.get(f.properties.CLIMDIV).variation);
const values = temperatures.get(f.properties.CLIMDIV);
return {...f, properties: {...f.properties, values}};
}
formatMonth = {
const format = d3.utcFormat("%B");
return i => format(Date.UTC(2019, i));
}
path = d3.geoPath()
color = d3.scaleSequential(d3.extent(temperatures.values(), v => v.variation), t => d3.interpolatePiYG(1 - t))
temperatures = new Map((d3.csvParse(await FileAttachment("temperatures.csv").text(), d3.autoType)).map(({id, ...values}) => {
const [min, max] = d3.extent(values = Object.values(values));
return [id, Object.assign(values, {min, max, variation: max - min})];
}))
divisions = FileAttachment("climdiv.json").json()
states = FileAttachment("states-10m.json").json()
topojson = require("topojson-client@3")
d3 = require("d3@5", "d3-array@2")
import {legend} from "@d3/color-legend"
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