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Oct 16, 2023
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Plot
Plot.image(
subset,
Plot.dodgeY({
sort: "followers",
anchor: "middle",
x: "followers",
src: "image",
title: "name",
r: 15,
width: 30
})
).plot({ height: 420, x: { type: "log" } })
<style>svg image {clip-path: circle();}
import { subset } from "dbe21ae287cc2523"
Plot.plot({
height: 420,
x: { type: "log" },
marks: [
Plot.dot(
subset,
Plot.dodgeY({
sort: "followers",
anchor: "middle",
x: "followers",
r: 15,
stroke: "orange",
strokeWidth: 3
})
),
Plot.image(
subset,
Plot.dodgeY({
sort: "followers",
anchor: "middle",
x: "followers",
src: "image",
title: "name",
r: 15,
width: 30
})
)
]
})
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.
