Package: dataverifyr 0.1.8
David Zimmermann-Kollenda
dataverifyr: A Lightweight, Flexible, and Fast Data Validation Package that Can Handle All Sizes of Data
Allows you to define rules which can be used to verify a given dataset. The package acts as a thin wrapper around more powerful data packages such as 'dplyr', 'data.table', 'arrow', and 'DBI' ('SQL'), which do the heavy lifting.
Authors:
dataverifyr_0.1.8.tar.gz
dataverifyr_0.1.8.zip(r-4.5)dataverifyr_0.1.8.zip(r-4.4)dataverifyr_0.1.8.zip(r-4.3)
dataverifyr_0.1.8.tgz(r-4.5-any)dataverifyr_0.1.8.tgz(r-4.4-any)dataverifyr_0.1.8.tgz(r-4.3-any)
dataverifyr_0.1.8.tar.gz(r-4.5-noble)dataverifyr_0.1.8.tar.gz(r-4.4-noble)
dataverifyr_0.1.8.tgz(r-4.4-emscripten)dataverifyr_0.1.8.tgz(r-4.3-emscripten)
dataverifyr.pdf |dataverifyr.html✨
dataverifyr/json (API)
NEWS
| # Install 'dataverifyr' in R: |
| install.packages('dataverifyr', repos = c('https://nmrgroup.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/davzim/dataverifyr/issues
Pkgdown site:https://davzim.github.io
Last updated 1 years agofrom:8b6a645329. Checks:8 OK. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 03 2025 |
| R-4.5-win | OK | Feb 03 2025 |
| R-4.5-mac | OK | Feb 03 2025 |
| R-4.5-linux | OK | Feb 03 2025 |
| R-4.4-win | OK | Feb 03 2025 |
| R-4.4-mac | OK | Feb 03 2025 |
| R-4.3-win | OK | Feb 03 2025 |
| R-4.3-mac | OK | Feb 03 2025 |
Exports:check_datadetect_backendfilter_failsplot_resread_rulesrulerulesetwrite_rules
Dependencies:yaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Programatically Combine a List of Rules and Rulesets into a Single Ruleset | bind_rules |
| Checks if a dataset confirms to a given set of rules | check_data |
| Add Rules and Rulesets Together | +.rule +.ruleset datavarifyr_plus dataverifyr_plus |
| Detects the backend which will be used for checking the rules | detect_backend |
| Filters a result dataset for the values that failed the verification | filter_fails |
| Visualize the results of a data validation | plot_res |
| Creates a single data rule | print.rule rule |
| Creates a set of rules | print.ruleset ruleset |
| Read and write rules to a yaml file | read_rules write_rules |