points = d3.json(
"https://gist.githubusercontent.com/Fil/6bc12c535edc3602813a6ef2d1c73891/raw/3ae88bf307e740ddc020303ea95d7d2ecdec0d19/points.json"
)
contour = d3.geoContour().thresholds(500)
color = d3.scaleSequential(d3.interpolateRdBu).domain([40, -20])
projection = d3
.geoCahillKeyes()
.fitExtent([[2, 2], [width - 2, height - 2]], { type: "Sphere" })
land = d3.json(
"https://unpkg.com/visionscarto-world-atlas/world/110m_land.geojson"
)
d3 = require("d3@7", "d3-geo-voronoi@2", "d3-geo-polygon@1")
height = (width / 2) | 0
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.
