points = d3.json(
"https://gist.githubusercontent.com/Fil/6bc12c535edc3602813a6ef2d1c73891/raw/3ae88bf307e740ddc020303ea95d7d2ecdec0d19/points.json"
)
projection = d3
.geoBertin1953()
.fitExtent([[0, 0], [width, height]], { type: "Sphere" })
import { land } from "@visionscarto/geo"
color = d3.scaleSequential(d3.interpolateRdBu).domain([40, -20])
contour = d3
.tricontour()
.thresholds(50)
.x(d => projection(d)[0])
.y(d => projection(d)[1])
contours = contour(points)
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.
