Published
Edited
Mar 4, 2020
md`# Assignment One`
d3 = require("d3@5")
topojson = require("topojson-client@3")
nycounties = FileAttachment("NYCountiesWGS1984.json").json()
states_features = topojson.feature(nycounties, nycounties.objects.NYCountiesWGS1984)
csv_data = d3.csvParse(await FileAttachment("NYPOP@1.csv").text(),({FIPS, Population, Area}) => [FIPS,[ +Population,+Population/+Area]])
popdensity = Array.from(csv_data.values(), d => d[1][1])
linear = d3.scaleLinear()
.domain([0, d3.max(popdensity)])
.range(["white", "red"])
quantize = d3.scaleQuantize()
.domain(d3.extent(popdensity))
.range(["white", "pink", "red"])
quantile = d3.scaleQuantile()
.domain(popdensity)
.range(["white", "pink", "red"])
naturalbreaks3 = simple.ckmeans(popdensity, 5).map(v => v.pop())
threshldNB3 = d3.scaleThreshold()
.domain(naturalbreaks3)
.range(["white", "pink", "red"])
//map the id column to the values. Use this for joinging with topojson later
data = Object.assign(new Map(csv_data), {title: ["Population","PopulationDensity"]})
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