Data Scientist at Warwick Investment Group. Passionate about science, predictive modeling, and data visualizations.
chart = {
const svg = d3.create("svg").attr("viewBox", [0, 0, 975, 610]);
svg
.append("g")
.attr("transform", "translate(610,20)")
.append(() => mapLegend);
svg
.append("g")
.selectAll("path")
.data(topojson.feature(us, us.objects.counties).features)
.join("path")
.attr("fill", d => color(data.get(d.id)))
.attr("d", path)
.append("title")
.text(
d => `${d.properties.name}, ${states.get(d.id.slice(0, 2)).name}
${format(data.get(d.id))}`
);
svg
.append("path")
.datum(topojson.mesh(us, us.objects.states, (a, b) => a !== b))
.attr("fill", "none")
.attr("stroke", "white")
.attr("stroke-linejoin", "round")
.attr("d", path);
return svg.node();
}
data = Object.assign(
new Map(
d3.csvParse(
await FileAttachment("unemployment-x.csv").text(),
({ id, rate }) => [id, +rate]
)
),
{ title: "Unemployment rate (%)" }
)
mapLegend = legend({ color, title: data.title, width: 260, tickFormat: "0" })
color = d3.scaleQuantize([1, 10], d3.schemeGreys[9])
legend({
color: d3.scaleQuantize([1, 100], d3.schemeGreys[9]),
title: "Unemployment rate (%)"
})
path = d3.geoPath()
format = d => `${d}%`
states = new Map(us.objects.states.geometries.map(d => [d.id, d.properties]))
us = FileAttachment("counties-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.
