EJ Fox & Ian Johnson
streaming data, code, acid, design
rPopScale = d3
.scaleSqrt()
.domain(popExtent)
.range([2, 25])
// projection = d3.geoIdentity().scale(width / 975)
projection = d3
.geoAlbersUsa()
.translate([width / 2, height / 2])
.scale([1150])
circles = {
let localNodes = shapesWithData
.map(d => {
let p = projection(d.centroid.geometry.coordinates) || [0, 0];
return {
...d,
p: rPopScale(d.population),
cx: p[0],
cy: p[1],
x: p[0],
y: p[1]
};
})
.filter(d => !isNaN(d.population));
// console.log(localNodes);
let simulation = d3
.forceSimulation(localNodes)
.force(
"collide",
d3
.forceCollide()
// .radius(d => d.p) // for spacing by population
.radius(d => d.p * 1.12) // for spacing by metric
.strength(0.65)
)
.force(
"x",
d3.forceX(d => {
return d.cx;
})
)
.force(
"y",
d3.forceY(d => {
return d.cy;
})
);
simulation.tick(200);
localNodes.sort((a, b) => a.metric - b.metric);
return localNodes;
}
lineSize = 12
demOrientation = "6/8"
ramp2.map(t => t.url())
legendSize = 50
countyShapes = topojson.feature(us, us.objects.counties).features
shapesWithData = countyShapes.map(s => ({
...s,
...data2.get(s.id),
population: pops.get(s.id),
// state: statefips.get(s.id.slice(0, 2))[0].name,
// population: pops.get(s.id),
// metric: metrics.get(s.id),
centroid: turf.centroid(s)
}))
import {
pops,
popExtent
} from "@codingwithfire/cmu-covidcast-api-bubbles-interactive-timelapse"
processed = countyElectionResults.map(d => {
return {
combined_fips: d.combined_fips,
relative_diff: +d.diff / +d.total_votes,
dem: +d.votes_dem,
rep: +d.votes_gop,
total: +d.total_votes,
winner: +d.votes_dem > +d.votes_gop ? "dem" : "rep"
};
})
countyElectionResults
processed.filter(d => d.winner == "dem")
data2 = new Map(processed.map(d => [d.combined_fips, d]))
diffExtent = d3.extent(countyElectionResults, d => +d.diff / +d.total_votes)
// q = d3.scaleQuantize([1, 10], ramp2)
q = d3.scaleQuantize(diffExtent, ramp2)
// q = d3.scaleQuantize([1, 10], ramp2)
qDem = d3.scaleQuantize(diffExtent, demRamp)
// q = d3.scaleQuantize([1, 10], ramp2)
qRep = d3.scaleQuantize(diffExtent, repRamp)
qLegend = d3.scaleQuantize(diffExtent, d3.range(0, 10))
ramp = [
makePattern(svg`<defs><pattern x="0" y="0" width="0" height="0" patternUnits="userSpaceOnUse">
</pattern></defs>`),
makePattern(svg`<defs><pattern x="0" y="0" width="1" height="4" patternUnits="userSpaceOnUse">
<line x1="0" y1="1" x2="1" y2="1" stroke="currentColor" stroke-width="1" />
</pattern></defs>`),
makePattern(svg`<defs><pattern x="0" y="0" width="1" height="4" patternUnits="userSpaceOnUse">
<line x1="0" y1="1" x2="1" y2="1" stroke="currentColor" stroke-width="2" />
</pattern></defs>`),
makePattern(svg`<defs><pattern x="0" y="0" width="1" height="4" patternUnits="userSpaceOnUse">
<line x1="0" y1="1" x2="1" y2="1" stroke="currentColor" stroke-width="4" />
</pattern></defs>`),
makePattern(svg`<defs><pattern x="0" y="0" width="4" height="4" patternUnits="userSpaceOnUse">
<rect fill="currentColor" width="4" height="4" />
</pattern></defs>`)
]
makePattern = defs => {
let id = DOM.uid();
defs.querySelector('pattern').id = id.id;
defs.toString = () => id.toString();
return defs;
}
path = d3.geoPath().projection(projection)
import { countyElectionResults } from '@codingwithfire/where-are-votes-at-risk'
textures = require("textures")
turf = require('https://bundle.run/turf@3.0.14')
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