UBC-MDS/laundRy: laundRy - preprocessing package for dataframes

The laundRy package performs many standard preprocessing techniques for dataframes, before use in statistical analysis and machine learning. The package functionality includes categorizing column types, handling missing data and imputation, transforming/standardizing columns and feature selection. The laundRy package aims to remove much of the grunt work in the typical data science workflow, allowing the analyst maximum time and energy to devote to modelling!

install.packages("remotes")
remotes::install_github("UBC-MDS/laundRy")