Published
Edited
Dec 12, 2021
Importers
3 stars
cardRadius = cardDiagonalLength / 2
cardSize = ({
width: cardAspectRatio * cardDiagonalLength / Math.sqrt(1 + cardAspectRatio**2),
height: cardDiagonalLength / Math.sqrt(1 + cardAspectRatio**2)
})
fieldSize = ({
width: width,
height: width * 0.75
})
// Note: samples() does not necessarily yield the specified number of samples.
// while() is used to make sure we get 'numCards' samples.
poissonSamples = {
const rangeWithMargin = [cardRadius, cardRadius, fieldSize.width - cardRadius, fieldSize.height - cardRadius];
let n = numCards
let points = []
while (points.length < numCards) {
points = [...samples(rangeWithMargin, n)]
n += 1
}
return points.slice(0, numCards).map(d => ({
x: d[0],
y: d[1],
rotation: Math.random() * 360
}))
}
randomLocations = d3.range(numCards).map(_ => ({
x: fieldSize.width * Math.random(),
y: fieldSize.height * Math.random(),
rotation: Math.random() * 360
}))
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.