datacleanr: 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'.
Version: |
1.0.3 |
Depends: |
R (≥ 3.6) |
Imports: |
shiny (≥ 1.5.0), htmltools (≥ 0.5), summarytools (≥ 0.9.6), dplyr (≥ 1.0.2), rlang (≥ 0.4.9), DT (≥ 0.16), magrittr (≥
2.0.1), plotly (≥ 4.9.2.1), grDevices, stats, purrr (≥
0.3.4), glue (≥ 1.4.2), formatR (≥ 1.7), RColorBrewer (≥
1.1.2), clipr (≥ 0.7.1), rstudioapi (≥ 0.13), utils, lubridate (≥ 1.7.9.2), shinyWidgets (≥ 0.5.4), htmlwidgets (≥ 1.5.3), tools, fs (≥ 1.5.0), shinyFiles (≥ 0.8.0), bslib |
Suggests: |
testthat (≥ 2.1.0) |
Published: |
2021-11-18 |
DOI: |
10.32614/CRAN.package.datacleanr |
Author: |
Alexander Hurley
[cre, aut, cph],
Richard Peters
[ctb],
Christoforos Pappas
[ctb] |
Maintainer: |
Alexander Hurley <agl.hurley at gmail.com> |
BugReports: |
https://github.com/the-Hull/datacleanr/issues |
License: |
GPL-3 |
URL: |
https://github.com/the-Hull/datacleanr |
NeedsCompilation: |
no |
Materials: |
README NEWS |
CRAN checks: |
datacleanr results |
Documentation:
Downloads:
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