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Observable
The end-to-end solution for building and hosting better data apps, dashboards, and reports.
Public
Edited
Feb 16, 2023
26 forks
Importers
220 stars
3
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flare = FileAttachment("flare.csv").csv()
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flareGist = d3.csv("https://gist.githubusercontent.com/mbostock/4063570/raw/11847750012dfe5351ee1eb290d2a254a67051d0/flare.csv")
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client = DatabaseClient("Baby Names") // sample client for demonstration purposes
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client
SELECT name
, gender
, year
, sum(number) AS number
FROM names
WHERE year > 1920
GROUP BY name, gender, year
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primes = [2, 3, 5, 7, 11, 13]
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mtcars = d3.csvParse(`name,mpg,cyl,disp,hp,drat,wt,qsec,vs,am,gear,carb
Mazda RX4,21,6,160,110,3.9,2.62,16.46,0,1,4,4
Mazda RX4 Wag,21,6,160,110,3.9,2.875,17.02,0,1,4,4
Datsun 710,22.8,4,108,93,3.85,2.32,18.61,1,1,4,1
Hornet 4 Drive,21.4,6,258,110,3.08,3.215,19.44,1,0,3,1
Hornet Sportabout,18.7,8,360,175,3.15,3.44,17.02,0,0,3,2
Valiant,18.1,6,225,105,2.76,3.46,20.22,1,0,3,1
Duster 360,14.3,8,360,245,3.21,3.57,15.84,0,0,3,4
Merc 240D,24.4,4,146.7,62,3.69,3.19,20,1,0,4,2
`)
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md`The first prime is ${primes[0]}.`
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md`The first car is a ${mtcars[0].name} with ${mtcars[0].hp} horsepower.`
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medianMilesPerGallon = d3.median(mtcars, d => d.mpg)
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blob = new Blob([d3.csvFormat(flare)], {type: "text/csv"})
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DOM.download(blob, "flare.csv")
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import {note} from "@observablehq/callout-boxes"
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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