London based data visualiser.
map = htl.html`<svg viewBox="0 0 ${width} ${height}" style="display: block;">
<path d="${path(outline)}" fill="#fff"></path>
<path d="${path(land)}" fill="#eee" stroke="#aaa"></path>
<path d="${path(borders)}" fill="none" stroke="#aaa"></path>
<path d="${path(outline)}" fill="none" stroke="#aaa"></path>
<path d="${path({type: "LineString", coordinates: tropicOfCancer})}" stroke-width="3" stroke="#0aa" ></path>
<path d="${path({type: "LineString", coordinates: lowResCancer})}" stroke-width="3" stroke="#a00" fill="none"></path>
<path d="${path({type: "LineString", coordinates: tropicOfCapricorn})}" stroke-width="3" stroke="#0aa"></path>
</svg>`
projection = d3.geoEqualEarth()
path = d3.geoPath(projection)
height = {
const [[x0, y0], [x1, y1]] = d3.geoPath(projection.fitWidth(width, outline)).bounds(outline);
const dy = Math.ceil(y1 - y0), l = Math.min(Math.ceil(x1 - x0), dy);
projection.scale(projection.scale() * (l - 1) / l).precision(0.2);
return dy;
}
lowResCancer = d3.range(8).map(i => [i / 7 * 360, 23])
outline = ({type: "Sphere"})
graticule = d3.geoGraticule10()
land = topojson.feature(world, world.objects.land)
borders = topojson.mesh(world, world.objects.countries, (a, b) => a !== b)
world = FileAttachment("countries-50m.json").json()
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.
