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dataPreparation: Automated Data Preparation

Do most of the painful data preparation for a data science project with a minimum amount of code; Take advantages of 'data.table' efficiency and use some algorithmic trick in order to perform data preparation in a time and RAM efficient way.

Version: 1.1.1
Depends: R (≥ 3.6.0)
Imports: data.table, lubridate, stringr, Matrix, progress
Suggests: testthat (≥ 2.0.0)
Published: 2023-07-04
DOI: 10.32614/CRAN.package.dataPreparation
Author: Emmanuel-Lin Toulemonde [aut, cre]
Maintainer: Emmanuel-Lin Toulemonde <el.toulemonde at protonmail.com>
BugReports: https://github.com/ELToulemonde/dataPreparation/issues
License: GPL-3 | file LICENSE
NeedsCompilation: no
Materials: NEWS
CRAN checks: dataPreparation results

Documentation:

Reference manual: dataPreparation.pdf

Downloads:

Package source: dataPreparation_1.1.1.tar.gz
Windows binaries: r-devel: dataPreparation_1.1.1.zip, r-release: dataPreparation_1.1.1.zip, r-oldrel: dataPreparation_1.1.1.zip
macOS binaries: r-release (arm64): dataPreparation_1.1.1.tgz, r-oldrel (arm64): dataPreparation_1.1.1.tgz, r-release (x86_64): dataPreparation_1.1.1.tgz, r-oldrel (x86_64): dataPreparation_1.1.1.tgz
Old sources: dataPreparation archive

Linking:

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