salty: Turn Clean Data into Messy Data
Take real or simulated data and salt it with errors commonly found in the wild, such as pseudo-OCR errors, Unicode problems, numeric fields with nonsensical punctuation, bad dates, etc.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | assertthat, purrr, stringr |
| Suggests: | charlatan, testthat (≥ 2.0.0), tibble, covr |
| Published: | 2018-09-17 |
| Author: | Matthew Lincoln 
[aut, cre] |
| Maintainer: | Matthew Lincoln <matthew.d.lincoln at gmail.com> |
| BugReports: | https://github.com/mdlincoln/salty/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/mdlincoln/salty |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | salty results |
Documentation:
| Reference manual: | salty.pdf |
Downloads:
| Package source: | salty_0.1.0.tar.gz |
| Windows binaries: | r-devel: salty_0.1.0.zip, r-release: salty_0.1.0.zip, r-oldrel: salty_0.1.0.zip |
| macOS binaries: | r-release (arm64): salty_0.1.0.tgz, r-oldrel (arm64): salty_0.1.0.tgz, r-release (x86_64): salty_0.1.0.tgz, r-oldrel (x86_64): salty_0.1.0.tgz |
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