Declare data validation rules and data quality indicators; confront data with them and analyze or visualize the results. The package supports rules that are per-field, in-record, cross-record or cross-dataset. Rules can be automatically analyzed for rule type and connectivity.
| Version: | 0.1.5 |
| Depends: | R (≥ 3.2.0) |
| Imports: | methods, graphics, settings, yaml |
| Suggests: | testthat, knitr |
| Published: | 2016-06-24 |
| Author: | Mark van der Loo [cre, aut], Edwin de Jonge [aut], Paul Hsieh [ctb] |
| Maintainer: | Mark van der Loo <mark.vanderloo at gmail.com> |
| BugReports: | https://github.com/data-cleaning/validate/issues |
| License: | GPL-3 |
| URL: | https://github.com/data-cleaning/validate |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | validate results |
| Reference manual: | validate.pdf |
| Vignettes: |
Introduction to validate Rules in text files |
| Package source: | validate_0.1.5.tar.gz |
| Windows binaries: | r-devel: validate_0.1.5.zip, r-release: validate_0.1.5.zip, r-oldrel: validate_0.1.5.zip |
| OS X Mavericks binaries: | r-release: validate_0.1.5.tgz, r-oldrel: validate_0.1.5.tgz |
| Old sources: | validate archive |
| Reverse imports: | deductive |
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