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Observable
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Published
Elections
Edited
Nov 6, 2020
8 stars
3
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data = FileAttachment("gwinnett_county_wait_times.csv").csv({typed: true})
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medianWaitTimes = d3.rollup(data, v => d3.median(v, d => d.waitTime), d => d.name)
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json = FileAttachment("GA_precincts16_Gwinnett.json").json()
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projection = d3
.geoAlbers()
.rotate([0, 64, 0])
.fitSize([mapWidth, mapHeight], json)
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path = d3.geoPath(projection)
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mapWidth = Math.min(width, 640)
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mapHeight = Math.max(250, width / 2)
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partyLabel = "% of 2016 votes for Clinton vs Trump"
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raceLabel = "% of 2016 voting-age population who were Black"
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mapTitle = mapColor === "party" ? partyLabel : raceLabel
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precinctValue = d => {
const denominator = mapColor === "party"
? Number(d.properties.PRES16D) + Number(d.properties.PRES16R)
: Number(d.properties.VAP);
const numerator = mapColor === "party"
? Number(d.properties.PRES16D)
: Number(d.properties.BVAP);
return denominator ? numerator / denominator : 0;
}
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partyColor = d3.scaleDiverging([0, 0.5, 1.0], d3.interpolateRdBu)
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raceColor = d3.scaleSequential(d3.interpolatePurples)
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color = mapColor === "party" ? partyColor : raceColor
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locations = (await FileAttachment("gwinnett_county_early_voting_locations.csv").csv({typed: true}))
.map(({address, name, latitude, longitude}) => ({
address, name, coordinates: projection([longitude, latitude])
}))
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d3 = require("d3@6")
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import { vl } from "@vega/vega-lite-api"
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import {legend} from "@d3/color-legend"
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import {radio} from "@jashkenas/inputs"
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