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Observable
The end-to-end solution for building and hosting better data apps, dashboards, and reports.
Public
Edited
Aug 24, 2023
8 forks
Importers
19 stars
2
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Plot.plot({
height: 420,
axis: null,
color: {
type: "diverging-log", // diverging-log scales pivot at 1 by default
scheme: "piyg"
},
marks: [
Plot.cell(states, {x: "x", y: "y", fill: change}),
Plot.text(states, {x: "x", y: "y", text: "key", dy: -2}), // state abbr
Plot.text(states, {x: "x", y: "y", text: formatChange, dy: 10, fillOpacity: 0.6})
]
})
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grid = FileAttachment("grid.csv").csv({ typed: true })
.then((states) => new Map(states.map((state) => [state.name, state])))
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population = FileAttachment("population.csv").csv({typed: true})
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states = population
.filter((d) => grid.has(d.State))
.map((d) => ({ ...d, ...grid.get(d.State) }))
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change = d => d["2019"] / d["2010"]
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formatChange = ((f) => (d) => f(change(d) - 1))(d3.format("+.0%"))
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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.
Learn more