Published
Edited
Jan 16, 2022
chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, 975, 610]);
svg.append("g")
.attr("transform", "translate(610,20)")
.append(() => legend({color, title: data.title, width: 260}));
svg.append("g")
.selectAll("path")
.data(topojson.feature(us, us.objects.states).features)
.join("path")
.attr("fill", d => color(data.get(d.properties.name)))
.attr("d", path)
.append("title")
.text(d => `${d.properties.name}
${format(data.get(d.properties.name))}`);
svg.append("path")
.datum(topojson.mesh(us, us.objects.states, (a, b) => a !== b))
.attr("fill", "none")
.attr("stroke", "white")
.attr("stroke-linejoin", "round")
.attr("d", path);
return svg.node();
}
data = Object.assign(new Map(d3.csvParse(await FileAttachment("co-est2019-alldata (1).csv").text(), ({STNAME, POPESTIMATE2019}) => [STNAME, +POPESTIMATE2019])), {title: "Population"})
csv = FileAttachment("co-est2019-alldata (1).csv").csv()
color = d3.scaleThreshold([1000, 2500, 5000, 10000, 100000, 1000000], d3.schemeBlues[6])
path = d3.geoPath()
format = d => `${d}%`
us = FileAttachment("states-albers-10m.json").json()
topojson = require("topojson-client@3")
d3 = require("d3@6")
import {legend} from "@d3/color-legend"
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.
