Common repository for example datasets used by Vega related projects. Keep changes to this repository minimal as other projects (Vega, Vega Editor, Vega-Lite, Polestar, Voyager) use this data in their tests and for examples.
The list of sources is in SOURCES.md.
To access the data in Observable, you can import
vega-dataset. Try our example notebook. To access these datasets from Python, you can use the Vega datasets python package. To access them from Julia, you can use the VegaDatasets.jl julia package.
We use semantic versioning. However, since this package serve datasets we have additional rules about how we version data.
We do not change data in patch releases except to resolve formatting issues. Minor releases may change the data but only update datasets in ways that do not change field names or file names. Minor releases may also add datasets. Major versions may change file names, file contents, and remove or update files.
How to use it
You can also get the data directly via HTTP served by GitHub or jsDelivr (a fast CDN) like:
https://vega.github.io/vega-datasets/data/cars.json or with a fixed version (recommended) such as https://cdn.jsdelivr.net/npm/vega-datasets@2/data/cars.json.
You can find a full listing of the available datasets at https://cdn.jsdelivr.net/npm/vega-datasets/data/.
Get the data on disk
npm i vega-datasets
Now you have all the datasets in a folder in
Get the URLs or Data via URL
npm i vega-datasets
Now you can import
data = require('vega-datasets') and access the URLs of any dataset with
data[NAME]() returns a promise that resolves to the actual data fetched from the URL. We use d3-dsv to parse CSV files.
Here is a full example
import data from 'vega-datasets'; const cars = await data['cars.json'](); // equivalent to // const cars = await (await fetch(data['cars.json'].url)).json(); console.log(cars);
Install dependencies with
To make a release, run
npm run release.