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dataset: Create Data Frames that are Easier to Exchange and Reuse

The aim of the 'dataset' package is to make tidy datasets easier to release, exchange and reuse. It organizes and formats data frame 'R' objects into well-referenced, well-described, interoperable datasets into release and reuse ready form.

Version: 0.3.9
Depends: R (≥ 3.5)
Imports: assertthat, haven, ISOcodes, labelled, pillar, rlang, tibble, utils, vctrs
Suggests: dplyr, jsonld, knitr, rdflib, rmarkdown, spelling, tidyr, testthat (≥ 3.0.0)
Published: 2025-05-25
DOI: 10.32614/CRAN.package.dataset
Author: Daniel Antal ORCID iD [aut, cre], Marcelo Perlin ORCID iD [rev], Anna Márta Mester ORCID iD [rev]
Maintainer: Daniel Antal <daniel.antal at dataobservatory.eu>
BugReports: https://github.com/dataobservatory-eu/dataset/issues/
License: GPL (≥ 3)
URL: https://dataset.dataobservatory.eu/
NeedsCompilation: no
Language: en-GB
Citation: dataset citation info
Materials: README, NEWS
CRAN checks: dataset results

Documentation:

Reference manual: dataset.html , dataset.pdf
Vignettes: Motivation (source, R code)
Modernising Citation Metadata in R: Introducing 'bibrecord' (source, R code)
Why Semantics Matter for R Data Frames (source, R code)
Semantically Enriched Vectors with 'defined()' (source, R code)
New Requirements (source, R code)
From R to RDF (source, R code)

Downloads:

Package source: dataset_0.3.9.tar.gz
Windows binaries: r-devel: dataset_0.3.9.zip, r-release: dataset_0.3.9.zip, r-oldrel: dataset_0.3.9.zip
macOS binaries: r-release (arm64): dataset_0.3.9.tgz, r-oldrel (arm64): dataset_0.3.9.tgz, r-release (x86_64): dataset_0.3.9.tgz, r-oldrel (x86_64): dataset_0.3.9.tgz
Old sources: dataset archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dataset to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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