The avatar for @abenrob
Adam Roberts
Public
Edited
Feb 24, 2023
1 fork
3 stars
1
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svg`<svg width=16 height=16>
<circle cx=8 cy=8 r=4></circle>
</svg>`
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import { ramp } from "@mbostock/ramp"
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plasma = d3.interpolatePlasma
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ramp(plasma)
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svg`<svg width=${width} height=60>
${circles.map(
(d, i) => svg`
<circle
cx=${8 + i * (d3.max(circles) * rMultiplier * 2)}
cy=30
r=${d * rMultiplier}
fill=${plasmify ? plasma(i / (circles.length - 1)) : "#000"}
></circle>
`
)}
</svg>`
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viewof rMultiplier = Inputs.range([1, 6], { value: 3 })
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viewof plasmify = Inputs.toggle({ label: "Plasmify", value: false })
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moment = require("moment")
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dj2023 = moment.duration(moment("2023-02-01T00:00:00").diff(moment(now)))
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athletes = FileAttachment("athletes.csv").csv({ typed: true })
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athletes
Type Table, then Shift-Enter. Ctrl-space for more options.

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dotplot = Plot.dot(athletes, { x: "weight", y: "height", stroke: "sex" }).plot()
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dotplot.legend("color")
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Plot.rect(
athletes,
Plot.bin({ fillOpacity: "count" }, { x: "weight", y: "height", fill: "sex" })
).plot()
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Plot.plot({
grid: true,
marks: [
Plot.rectY(
athletes,
Plot.binX({ y: "count" }, { x: "weight", fill: "sex", fy: "sex" })
),
Plot.ruleY([0])
]
})
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Plot.plot({
x: { label: "medal count" },
marks: [
Plot.barX(
athletes,
Plot.groupY(
{ x: "count" },
{ y: "nationality", sort: { y: "x", reverse: true, limit: 10 } }
)
),
Plot.ruleX([0])
]
})
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chart
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import { chart } from "@d3/bivariate-choropleth"
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map
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import { map } from "@neocartocnrs/bars-pubs-in-paris"
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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.
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