data
curData = data.filter(d => d.State == state & d.Scenario == scenario & d.StatePctRecorded == statePctRecorded)
curStateData = ({
'DemVotes': d3.sum(curData, d=> +d.DemVotes),
'RepVotes': d3.sum(curData, d=> +d.RepVotes),
'TotalVoters': d3.sum(curData, d=> (+d.DemVotes) + (+d.RepVotes) + (+d.RemainingVotes))
})
curStateShape = stateShapes.features.filter(d => d.id == states.get(state).FIPS)
curCountyShapes = countyShapes.features.filter(d => d.id.slice(0,2) == states.get(state).FIPS)
curCountyShapes
shapesWithDataCounty = curCountyShapes // Counties for current state selected
.map(s => {
let curCountyResults = curData.filter(d=> d.FIPS == s.id)[0]
let curColor = curCountyResults && +curCountyResults.DemVotes == +curCountyResults.RepVotes ? '#ccc' :
curCountyResults && +curCountyResults.DemVotes > +curCountyResults.RepVotes ? '#2e74c0' :
'#cb454a';
let colRamp = d3.scaleLinear().domain([0, 1]).range(["#2e74c0", "#cb454a"])
let curColorRamped = colRamp(+curCountyResults.RepVotes / (+curCountyResults.DemVotes + +curCountyResults.RepVotes))
return ({
...s,
...curCountyResults,
color: curColor,
colorRamped: curColorRamped,
centroid: turf.centroid(s),
TotalVoters: (+curCountyResults.DemVotes) + (+curCountyResults.RepVotes) + (+curCountyResults.RemainingVotes)
})
})
colRamp = d3.scaleLinear().domain([0, 1]).range(["#2e74c0", "#cb454a"])
colRamp(0.75)
curStateCities = stateCitiesGeo.get(state)
packedDotRadius = ( 0.037 * width * mapScale )* (1.5 / 30 ) // radius for inner dot. Should probably change it to function of max donut size
maxPackedDots = 208 // number of dots to put in the biggest County.
packedDotPop = // population associated with 1 dot it biggest County.
d3.max(shapesWithDataCounty, d=> d.TotalVoters) / maxPackedDots
pack = (data,outerRadius) => d3.pack()
.size([outerRadius*2, outerRadius*2])
.padding(1)
.radius(d=> d3.min([packedDotRadius, outerRadius]))
(d3.hierarchy(data));
circlePackData =
circles.map( d=> {
let packedDotCount = d3.max([1, Math.round(d.TotalVoters / packedDotPop)]) // d3.max to ensure dots > 0
let countyPack = pack( {children:d3.range(packedDotCount)}, d.r)
return {
r: countyPack.children.length > 1 ? countyPack.r : d.r,
x: d.x,
y: d.y,
children: countyPack.children.map(c => ({x: c.x, y: c.y, r: c.r, col: circlePackDotColor(d.DemVotes, d.RepVotes, d.TotalVoters)}))
} ;
})
circlePackDotColor = (demVoters, repVoters, totalVoters, colorScale = ({dem: "#2e74c0", rep: "#cb454a", remaining: '#BBB' })) => {
let rand = Math.random()
if (rand < +demVoters / +totalVoters ) {
return colorScale.dem
} else if (rand < (+demVoters + +repVoters)/ +totalVoters) {
return colorScale.rep
} else {
return colorScale.remaining
}
}
curProps = countyPartyProps.get(state).get(scenario).get(statePctRecorded)
dotPop = // population associated with 1 dot.
d3.sum(shapesWithDataCounty, d=> d.TotalVoters) / curDots.length
dotColor = function(propArray, randNum, colorScale = ({dem: "#2e74c0", rep: "#cb454a", remaining: '#fbf418' })) {
if(+randNum < +propArray[0]){
return colorScale.dem
} else if(+randNum < +propArray[1]) {
return colorScale.rep
} else {
return colorScale.remaining
}
}
curDots = stateDots.get(state)
.map( d => {
return {coordsProjected: projection(d.coords),
color: dotColor(curProps.get(d.FIPS), d.rand)
}
})
proportionToHex = x => (Math.round(x * 255)).toString(16);
proportionToHex(0.75)
mapScale = (sidebarPlotPixels > 0.12 * width ? 1 : 0.75)
height = width * 7/9
sidebarPlotPixels = 100
sideBarColOpacityHex = 'B3'
annote1Url = FileAttachment("BubbleAnnot1@1.png").url()
annote2Url = FileAttachment("BubbleAnnot2.png").url()
annote3Url = FileAttachment("BubbleAnnot3.png").url()
annote4Url = FileAttachment("BubbleAnnot4@2.png").url()
annoteDonut = FileAttachment("annoteDonut2.png").url()
annotePackedDot = FileAttachment("annotePackedDot.png").url()
d3 = require('d3@6')
topojson = require("topojson-client@3")
turf = require('https://bundle.run/turf@3.0.14')
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