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: 0.3.5
Depends: R (≥ 3.3.0), lubridate, stringr, Matrix, progress
Imports: data.table
Suggests: knitr, rmarkdown, kableExtra, pander, testthat
Published: 2018-02-16
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

Downloads:

Reference manual: dataPreparation.pdf
Vignettes: Tutorial
Tutorial
Package source: dataPreparation_0.3.5.tar.gz
Windows binaries: r-prerel: dataPreparation_0.3.5.zip, r-release: dataPreparation_0.3.5.zip, r-oldrel: dataPreparation_0.3.5.zip
OS X binaries: r-prerel: dataPreparation_0.3.5.tgz, r-release: dataPreparation_0.3.5.tgz
Old sources: dataPreparation archive

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