R Packages for Data Quality Assessments

This repository contains a collection of R scripts used to test packages designed to conduct data quality assessments or provide useful features in some phases of the data quality evaluation.

Usage

Each folder in the scripts+reports/ directory refers to an R package and uses SHIP-based example data and metadata to generate a sample report.

Features

Reviewed R packages (in alphabetical order):

• assertable
• assertive
• assertr
• clickR
• DataExplorer
• dataquieR
• dataReporter
• DescTools
• dlookr
• DQAstats
• ExPanDaR
• explore
• funModeling
• inspectdf
• IPDFileCheck
• MOQA
• mStats
• observer
• pointblank
• sanityTracker
• skimr
• SmartEDA
• StatMeasures
• summarytools
• testdat
• validate
• visdat
• xray

Reference

J. Mariño, E. Kasbohm, S. Struckmann, L.A. Kapsner, and C.O. Schmidt, R Packages for Data Quality Assessments and Data Monitoring: A Software Scoping Review with Recommendations for Future Developments, Applied Sciences. (2022) 26. doi:10.3390/app12094238.

@article{
  title = {R {{Packages}} for {{Data Quality Assessments}} and {{Data Monitoring}}: {{A Software Scoping Review}} with {{Recommendations}} for {{Future Developments}}},
  author = {Mari{\~n}o, Joany and Kasbohm, Elisa and Struckmann, Stephan and Kapsner, Lorenz A and Schmidt, Carsten O},
  year = {2022},
  journal = {Applied Sciences},
  pages = {26},
  doi = {10.3390/app12094238},
  langid = {english}
}

Contributing

Suggestions and improvements on this collection are very welcome and can be made through issues or pull requests here on GitHub or via e-mail.