RDataSets

RDatasets.jl gives Julia users access to many datasets distributed with the R ecosystem.

github.com/johnmyleswhite/RDatasets.jl
RDataSets homepage screenshot

About RDataSets

RDatasets.jl is an open-source Julia package for loading datasets that are distributed with the R ecosystem. It covers most of the standard datasets in the core of R as well as datasets from many R packages. The collection is based on the Rdatasets repository gathered by Vincent Arelbundock.

After installing the package, users load a dataset with the dataset() function by specifying the R package name and dataset name, such as dataset("datasets", "iris"). The package requires DataFrames, which is installed as a dependency. The packages() function lists the represented R packages, and the datasets() function lists the more than 700 included datasets, with an option to filter by package name.

It suits Julia users who need R example data for analysis, teaching, testing code, or learning data handling with DataFrames.

Key features

  • Load R datasets in Julia using dataset() function
  • Includes 700+ datasets from R core and packages
  • List represented R packages with packages() function
  • List datasets and filter by package name
  • Uses DataFrames package installed as dependency
Best for: Julia users who need R example datasets for analysis, teaching, or testing.
Good for
  • Provides 700+ R datasets for Julia
  • Lookup by package and dataset name
  • Built-in listings of packages and datasets
  • Open-source code and data files
Watch out for
  • Requires Julia and DataFrames installation
  • Limited to R datasets included in the collection

RDataSets at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Yes · Source code
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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RDataSets FAQ

What is RDatasets.jl?
It is a Julia package for loading datasets distributed with R core and many R packages.
How do I load a dataset with RDatasets.jl?
After installing the package, use dataset() with the package and dataset names, for example dataset("datasets", "iris").
How many datasets are included?
The datasets() function lists more than 700 included datasets, with details such as rows and columns.
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