projectionHex([20, 13])
projectionHex.invert([430, 242.4871130596428])
calculateDistance = (a, b) => {
// console.log("calculate", a, b);
return Math.pow(b[1] - a[1], 2) + Math.pow(b[0] - a[0], 2);
}
optimizedSolution = munkres(distanceMatrix)
kommuner = kommunerGeo.features.map(processKommuneGeometry)
stats = {
let xrange = [
d3.min(kommuner.map((d) => d.xrange).map((d) => d[0])),
d3.max(kommuner.map((d) => d.xrange).map((d) => d[1]))
];
let yrange = [
d3.min(kommuner.map((d) => d.yrange).map((d) => d[0])),
d3.max(kommuner.map((d) => d.yrange).map((d) => d[1]))
];
return {
xrange,
yrange,
xwidth: xrange[1] - xrange[0],
ywidth: yrange[1] - yrange[0],
centroid: [d3.mean([xrange[1], xrange[0]]), d3.mean([yrange[1], yrange[0]])]
};
}
surroundingKeys([5, 5])
kommunerTopo = FileAttachment("Kommuner-S.topojson").json()
kommunerGeo = topojson.feature(kommunerTopo, kommunerTopo.objects.Kommuner)
norgeS = FileAttachment("Norge-S.geojson").json()
norgeReverse = turf.rewind(norgeS, { reverse: true })
import { JSONstat } from "@jsonstat/toolkit"
befolkningsdataRaw = FileAttachment("07459_20241226-131427.json").json()
befolkningsdata = JSONstat(befolkningsdataRaw)
d3.extent(genderMarkers, (d) => d.data.data["_partMenn"])
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.
