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: 0.4.0
Depends: R (≥ 3.3.0), lubridate, stringr, Matrix, progress
Imports: data.table
Suggests: knitr, rmarkdown, kableExtra, pander, testthat (≥ 2.0.0)
Published: 2019-03-25
Author: Emmanuel-Lin Toulemonde [aut, cre]
Maintainer: Emmanuel-Lin Toulemonde <el.toulemonde at>
License: GPL-3 | file LICENSE
NeedsCompilation: no
Materials: NEWS
CRAN checks: dataPreparation results


Reference manual: dataPreparation.pdf
Vignettes: Tutorial: discovering dataPreparation functionalities
Tutorial: building train and test sets with the same characteristics
Package source: dataPreparation_0.4.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: dataPreparation_0.4.0.tgz, r-oldrel: dataPreparation_0.4.0.tgz
Old sources: dataPreparation archive


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