art = (await fetch("https://api.artic.edu/api/v1/artworks")).json()
data = art.data
table(
data.slice(0, 7).map(
({ title, date_start, date_end, place_of_origin, shortForecast }) => ({
title: md`**${title}**`,
date_start: md`**${date_start}**`,
date_end: md`**${date_end}**`,
place_of_origin: md`**${place_of_origin}**`,
})
)
)
vl
.markPoint()
.data(artists)
.encode(
vl.y().fieldN('name').sort(null),
vl.x().scale({domain: [50, 105]}).fieldQ('score'),
vl.color().fieldN('type')
)
.render()
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.
