The end-to-end solution for building and hosting better data apps, dashboards, and reports.
Public
Edited
May 9, 2023
9 forks
5 stars
Plot.plot({
height: 800,
marginRight: 90,
marginLeft: 110,
grid: true,
x: {nice: true},
y: {inset: 5},
color: {type: "categorical"},
marks: [
Plot.frame(),
Plot.dot(barley, {
x: "yield",
y: "variety",
fy: "site",
stroke: "year",
sort: {y: "x", fy: "x", reduce: "median", reverse: true}
})
]
})
barley = FileAttachment("barley.csv").csv({typed: true})
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.
