Public
Edited
Apr 7
nhgis0003_ds54_1930_state.csv
Type Table, then Shift-Enter. Ctrl-space for more options.
import { us } from "@observablehq/us-geographic-data"
states = topojson.feature(us, us.objects.states)
nation = topojson.feature(us, us.objects.nation)
literacy = FileAttachment("nhgis0003_ds54_1930_state.csv").csv({ typed: true })
literacy
Type Table, then Shift-Enter. Ctrl-space for more options.
literacyLookup = {
const k = "STATE";
const v = "BDV001";
return new Map(literacy.map((x) => [x[k], +x[v]]));
}
literacyLookup.get("New York")
nhgis0004_ds224_1930_state.csv
Type Table, then Shift-Enter. Ctrl-space for more options.
literacyAQ = aq.from(literacy)
totalAQ = aq.from(total1930)
literacyJoined = literacyAQ.join_left(totalAQ, "GISJOIN")
lj = literacyJoined.objects ()
normalliteracyLookup = {
const k = "STATE_1";
const v = "BDV001";
const c = "AF14001"
return new Map(lj.map((x) => [x[k], +x[v]/x[c]]));
}
normalliteracyLookup.get("Texas")
Plot.plot({
projection: "albers-usa",
color: {
type: "sequential",
scheme: "Reds",
legend: true
},
title: "Illiteracy per capita 1930",
marks: [
Plot.geo(states, {
fill: (d) => normalliteracyLookup.get(d.properties.name),
stroke: "black"
}),
Plot.geo(nation, { stroke: "black" })
]
})
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