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. Supports checks implied by an SDMX DSD file as well. See also Van der Loo and De Jonge (2018) <doi:10.1002/9781118897126>, Chapter 6 and the JSS paper (2021) <doi:10.18637/jss.v097.i10>.
Version: 1.1.5 Depends: R (≥ 3.5.0), methods Imports: stats, graphics, grid, settings, yaml Suggests: rsdmx, tinytest (≥ 0.9.6), knitr, bookdown, lumberjack, rmarkdown Published: 2024-02-14 DOI: 10.32614/CRAN.package.validate 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 Citation: validate citation info Materials: NEWS In views: OfficialStatistics CRAN checks: validate results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=validate to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4