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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:

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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.