datagrade: Data Quality Assessment on the ISO/IEC 25012 Model

A single-call data quality assessment scoring a data set on the five inherent characteristics of the ISO/IEC 25012 data quality model (accuracy, completeness, consistency, credibility and currentness) through the fifteen quality properties beneath them, ISO/IEC (2008) <https://www.iso.org/standard/35736.html>. Each property is measured as a ratio of counted data items, the form ISO/IEC 25024 measurement functions take, ISO/IEC (2015) <https://www.iso.org/standard/35749.html>. Six properties are computable from a table alone; the rest compare the data against expectations declared through a specification object, and are reported as not applicable rather than approximated when none is supplied. Also reports missing-data patterns, duplicates, redundant columns, outliers, multicollinearity and distributional deviations, and returns a structured object with plots rather than console text alone. The statistics implement the methodology of the author's master's dissertation, Demirhan (2024) "Assessing Data Quality Management Issues in Open-Sourced Data Sets with Statistical Methodology" <https://halukdemirhan.com/assets/msc-thesis-haluk-demirhan-public.pdf>.

Version:	0.2.0
Depends:	R (≥ 4.1.0)
Imports:	cli, ggplot2 (≥ 3.4.0), stats, tools, utils
Suggests:	knitr, randomForest, rmarkdown, readxl, testthat (≥ 3.0.0)
Published:	2026-10-29
DOI:	10.32614/CRAN.package.datagrade
Author:	Omer Haluk Demirhan [aut, cre]
Maintainer:	Omer Haluk Demirhan <hlk01dn at gmail.com>
BugReports:	https://github.com/ohalukdemirhan/datagrade/issues
License:	MIT + file LICENSE
URL:	https://github.com/ohalukdemirhan/datagrade
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	datagrade results

Documentation:

Reference manual:	datagrade.html , datagrade.pdf
Vignettes:	Getting started with datagrade (source, R code) Deviations from the dissertation (source, R code) Methodology: every formula, stated (source, R code) Scalability: 54 thousand to 10 million rows (source, R code)

Downloads:

Package source:	datagrade_0.2.0.tar.gz
Windows binaries:	r-devel: not available, r-release: datagrade_0.2.0.zip, r-oldrel: datagrade_0.2.0.zip
macOS binaries:	r-release (arm64): datagrade_0.2.0.tgz, r-oldrel (arm64): datagrade_0.2.0.tgz, r-release (x86_64): datagrade_0.2.0.tgz, r-oldrel (x86_64): datagrade_0.2.0.tgz

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