Interactive and Reproducible Data Cleaning

Flexible and efficient cleaning of data with interactivity. 'datacleanr' facilitates best practices in data analyses and reproducibility with built-in features and by translating interactive/manual operations to code. The package is designed for interoperability, and so seamlessly fits into reproducible analyses pipelines in 'R'.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("datacleanr")

1.0.0 by Alexander Hurley, a month ago


https://github.com/the-Hull/datacleanr


Report a bug at https://github.com/the-Hull/datacleanr/issues


Browse source code at https://github.com/cran/datacleanr


Authors: Alexander Hurley [cre, aut, cph] , Richard Peters [ctb] , Christoforos Pappas [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports shiny, htmltools, summarytools, dplyr, rlang, DT, magrittr, plotly, grDevices, stats, purrr, glue, formatR, RColorBrewer, clipr, rstudioapi, utils, lubridate, shinyWidgets, htmlwidgets, tools, fs, shinyFiles

Suggests testthat


See at CRAN