Public
Edited
Aug 3, 2023
Slates
Plot.carto({
color: { scheme: "orrd", type: "pow", exponent: 1 / 2 },
marks: [
Plot.features(precincts_features, {
fill: (d) =>
(gig.get(d.properties.full_text) || 0) / d.properties.Shape_Area,
stroke: "grey",
strokeWidth: 0.2
})
]
})
Plot.carto({
color: { scheme: "orrd", type: "pow", exponent: 1 / 2 },
marks: [
Plot.features(precincts_features, {
fill: (d) =>
(ccdc.get(d.properties.full_text) || 0) / d.properties.Shape_Area,
stroke: "grey",
strokeWidth: 0.2
})
]
})
ccdc = new Map(ccdc_raw.map((d) => [d.id, Number(d.cnt)]))
ccdc_raw = FileAttachment("ccdc.csv").csv(d3.autoType)
gig = new Map(gig_raw.map((d) => [d.id, Number(d.cnt)]))
gig_raw = FileAttachment("gig@2.csv").csv()
precincts_features = topojson.feature(
precincts,
precincts.objects["2022_precincts"]
)
topojson = require("topojson-client@3")
precincts = FileAttachment("2022_precincts@4.topo.json").json()
import { Plot } from "@fil/plot-carto-0-5"
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
