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refreshr: Work with Refreshable Datasets that Update their Data Automatically

Connects dataframes/tables with a remote data source. Raw data downloaded from the data source can be further processed and transformed using data preparation code that is also baked into the dataframe/table. Refreshable dataframes can be shared easily (e.g. as R data files). Their users do not need to care about the inner workings of the data update mechanisms.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: stringr, crayon, lubridate, dplyr
Published: 2022-03-01
DOI: 10.32614/CRAN.package.refreshr
Author: Joachim Zuckarelli ORCID iD [aut, cre]
Maintainer: Joachim Zuckarelli <joachim at zuckarelli.de>
BugReports: https://github.com/jsugarelli/refreshr/issues
License: GPL-3
URL: https://github.com/jsugarelli/refreshr/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: refreshr results

Documentation:

Reference manual: refreshr.pdf

Downloads:

Package source: refreshr_0.1.0.tar.gz
Windows binaries: r-devel: refreshr_0.1.0.zip, r-release: refreshr_0.1.0.zip, r-oldrel: refreshr_0.1.0.zip
macOS binaries: r-release (arm64): refreshr_0.1.0.tgz, r-oldrel (arm64): refreshr_0.1.0.tgz, r-release (x86_64): refreshr_0.1.0.tgz, r-oldrel (x86_64): refreshr_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=refreshr 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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