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Observable
The end-to-end solution for building and hosting better data apps, dashboards, and reports.
Public
Edited
Jul 14, 2023
16 forks
Importers
16 stars
6
Hands-on Tutorials
Hands-on tutorialsLearn Just Enough JavaScript: IntroductionObservable Quick Guides
Build your first scatterplot with Observable Plot
Get started with the Chart cellBuild your first map with Observable PlotBuild your first choropleth map with Observable PlotPlot from ggplot2Analyzing revenue by category for an online storeWhich items are purchased together?Wrangling data in JavaScript with Arquero: a primer for R users
Observable for Excel Users
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Plot.plot({
marks: [
Plot.dot(cars, {x: "power (hp)", y: "economy (mpg)"})
]
})
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cars
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FileAttachment("data101.xlsx").xlsx()
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nycSpreadsheet = FileAttachment("data101.xlsx").xlsx()
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Select a data source…
Type Table, then Shift-Enter. Ctrl-space for more options.

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nycData = nycSpreadsheet.sheet(0, { headers: true })
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Plot.plot({
marks: [
Plot.dot(nycData, {x: "date", y: "medianAskingPrice"})
]
})
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Plot.plot({
marks: [
Plot.dot(nycData, {x: "date", y: "medianAskingPrice", fill: "neighborhood"})
],
marginLeft: 100
})
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Plot.plot({
marks: [
Plot.dot(nycData, {x: "date", y: "medianAskingPrice", fill: "neighborhood"})
],
color: { legend: true },
marginLeft: 100
})
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Plot.plot({
marks: [
Plot.dot(nycData, {x: "date", y: "medianAskingPrice", r: "priceCutShare", fill: "neighborhood"})
],
color: { legend: true },
marginLeft: 100
})
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Plot.plot({
marks: [
Plot.ruleY([0]),
Plot.line(nycData, { x: "date", y: "medianAskingPrice", stroke: "neighborhood"}),
Plot.dot(nycData, {x: "date", y: "medianAskingPrice", fill: "neighborhood", r: "priceCutShare"}),
],
color: { legend: true },
marginLeft: 100,
})
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Plot.plot({
facet: {
data: nycData,
y: "borough",
marginRight: 100,
},
marks: [
Plot.frame({ stroke: "lightgray" }),
Plot.ruleY([0]),
Plot.dot(nycData, {x: "date", y: "medianAskingPrice", fill: "neighborhood", r: "priceCutShare"}),
Plot.line(nycData, { x: "date", y: "medianAskingPrice", stroke: "neighborhood", z: "neighborhood"}),
],
color: { legend: true },
marginLeft: 100,
})
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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