The end-to-end solution for building and hosting better data apps, dashboards, and reports.
Public
Edited
Jun 27, 2023
59 forks
Importers
33 stars
Plot.plot({
width: 450,
projection: {
type: "azimuthal-equidistant",
rotate: [0, -90],
// Note: 0.625° corresponds to max. length (here, 0.5), plus enough room for the labels
domain: d3.geoCircle().center([0, 90]).radius(0.625)()
},
color: { legend: true },
marks: [
// grey discs
Plot.geo([0.5, 0.4, 0.3, 0.2, 0.1], {
geometry: (r) => d3.geoCircle().center([0, 90]).radius(r)(),
stroke: "black",
fill: "black",
strokeOpacity: 0.3,
fillOpacity: 0.03,
strokeWidth: 0.5
}),
// white axes
Plot.link(longitude.domain(), {
x1: longitude,
y1: 90 - 0.57,
x2: 0,
y2: 90,
stroke: "white",
strokeOpacity: 0.5,
strokeWidth: 2.5
}),
// tick labels
Plot.text([0.3, 0.4, 0.5], {
x: 180,
y: (d) => 90 - d,
dx: 2,
textAnchor: "start",
text: (d) => `${100 * d}%`,
fill: "currentColor",
stroke: "white",
fontSize: 8
}),
// axes labels
Plot.text(longitude.domain(), {
x: longitude,
y: 90 - 0.57,
text: Plot.identity,
lineWidth: 5
}),
// areas
Plot.area(points, {
x1: ({ key }) => longitude(key),
y1: ({ value }) => 90 - value,
x2: 0,
y2: 90,
fill: "name",
stroke: "name",
curve: "cardinal-closed"
}),
// points
Plot.dot(points, {
x: ({ key }) => longitude(key),
y: ({ value }) => 90 - value,
fill: "name",
stroke: "white"
}),
// interactive labels
Plot.text(
points,
Plot.pointer({
x: ({ key }) => longitude(key),
y: ({ value }) => 90 - value,
text: (d) => `${(100 * d.value).toFixed(0)}%`,
textAnchor: "start",
dx: 4,
fill: "currentColor",
stroke: "white",
maxRadius: 10
})
),
// interactive opacity on the areas
() =>
svg`<style>
g[aria-label=area] path {fill-opacity: 0.1; transition: fill-opacity .2s;}
g[aria-label=area]:hover path:not(:hover) {fill-opacity: 0.05; transition: fill-opacity .2s;}
g[aria-label=area] path:hover {fill-opacity: 0.3; transition: fill-opacity .2s;}
`
]
})
phones = FileAttachment("phones.csv").csv({typed: true})
points = phones.flatMap(({ name, ...values }) =>
Object.entries(values).map(([key, value]) => ({ name, key, value }))
)
longitude = d3.scalePoint(new Set(Plot.valueof(points, "key")), [180, -180]).padding(0.5).align(1)
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.