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

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