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.
It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.
1.1.2 by Emmanuel-Lin Toulemonde, a year ago
Report a bug at https://github.com/ELToulemonde/dataPreparation/issues
Browse source code at https://github.com/cran/dataPreparation
Authors: Emmanuel-Lin Toulemonde [aut, cre]
Documentation: PDF Manual
GPL-3 | file LICENSE license
Imports data.table, lubridate, stringr, Matrix, progress
Suggests testthat
See at CRAN