Package: dataverifyr 0.1.11
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_0.1.11.tar.gz
dataverifyr_0.1.11.zip(r-4.7)dataverifyr_0.1.11.zip(r-4.6)dataverifyr_0.1.11.zip(r-4.5)
dataverifyr_0.1.11.tgz(r-4.6-any)dataverifyr_0.1.11.tgz(r-4.5-any)
dataverifyr_0.1.11.tar.gz(r-4.7-any)dataverifyr_0.1.11.tar.gz(r-4.6-any)
dataverifyr_0.1.11.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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/docs site:https://davzim.github.io
Last updated from:420f9c064c. Checks:9 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 126 | ||
| source / vignettes | OK | 172 | ||
| linux-release-x86_64 | OK | 123 | ||
| macos-release-arm64 | OK | 96 | ||
| macos-oldrel-arm64 | OK | 92 | ||
| windows-devel | OK | 217 | ||
| windows-release | OK | 226 | ||
| windows-oldrel | OK | 209 | ||
| wasm-release | OK | 99 |
Exports:check_datadata_columndescribedetect_backendfilter_failsplot_resread_rulesreference_rulerulerulesetsample_datawrite_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 |
| Define a Column Specification for Schema Checks | data_column |
| Add Rules and Rulesets Together | +.rule +.ruleset datavarifyr_plus dataverifyr_plus |
| Describes a dataset | describe |
| 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 |
| Define a Relational Reference Rule | reference_rule |
| Creates a single data rule | print.rule rule |
| Creates a set of rules | print.ruleset ruleset |
| Sample Orders Dataset for Examples and Tests | sample_data |
| Read and write rules to a yaml file | read_rules write_rules |