Package: DQA 0.1.1
DQA: Data Quality Assessment Tools
In the context of data quality assessment, this package provides a number of functions for evaluating data quality across various dimensions, including completeness, plausibility, concordance, conformance, currency, timeliness, and correctness. It has been developed based on two well-known frameworks—Michael G. Kahn (2016) <doi:10.13063/2327-9214.1244> and Nicole G. Weiskopf (2017) <doi:10.5334/egems.218>—for data quality assessment. Using this package, users can evaluate the quality of their datasets, provided that corresponding metadata are available.
Authors:
DQA_0.1.1.tar.gz
DQA_0.1.1.zip(r-4.7)DQA_0.1.1.zip(r-4.6)DQA_0.1.1.zip(r-4.5)
DQA_0.1.1.tgz(r-4.6-any)DQA_0.1.1.tgz(r-4.5-any)
DQA_0.1.1.tar.gz(r-4.7-any)DQA_0.1.1.tar.gz(r-4.6-any)
DQA_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
DQA/json (API)
NEWS
| # Install 'DQA' in R: |
| install.packages('DQA', repos = c('https://elhamhsnzadeh.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:42e4ab7da0. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 121 | ||
| source / vignettes | OK | 166 | ||
| linux-release-x86_64 | OK | 122 | ||
| macos-release-arm64 | OK | 186 | ||
| macos-oldrel-arm64 | OK | 162 | ||
| windows-devel | OK | 93 | ||
| windows-release | OK | 82 | ||
| windows-oldrel | OK | 89 | ||
| wasm-release | OK | 100 |
Exports:check_missing_itemwisecheck_missing_recordcheck_missing_segmentsconcordance_checkconformance_checkcorrectness_checkcurrency_checkplausible_checktimeliness_check
Dependencies:clicpp11data.tablefarverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Check Missing Data Item-wise with Dependency Logic | check_missing_itemwise |
| Check Missing Data by Record (Unit Check) | check_missing_record |
| Check Missing Data by Segments | check_missing_segments |
| Perform Concordance Check on Data Based on Defined Rules | concordance_check |
| Perform Conformance Check on Data Based on Defined Rules | conformance_check |
| Default Conformance Check Rules (Reference) | conformance_rules |
| Validate Data Against Correctness Rules | correctness_check |
| Perform Currency Check for Data Frame Columns | currency_check |
| Perform plausibility Check for Data Frame Columns | plausible_check |
| Perform timeliness Check for Data Frame Columns | timeliness_check |
