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DataAudit  

Comprehensive Data Quality Auditing and Validation
View on CRAN: Click here


Download and install DataAudit package within the R console
Install from CRAN:
install.packages("DataAudit")

Install from Github:
library("remotes")
install_github("cran/DataAudit")

Install by package version:
library("remotes")
install_version("DataAudit", "0.1.0")



Attach the package and use:
library("DataAudit")
Maintained by
Vinodh Kumar Obli Rajendran
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-06
Latest Update: 2026-08-06
Description:
Provides tools for systematic assessment, validation, and reporting of data quality. The package detects common data-quality problems including missing or blank values, duplicate observations, infinite values, constant and near-zero variance variables, outliers, invalid ranges and categories, type and pattern violations, problematic dates and identifiers, sequence errors, dependency violations, and cross-variable inconsistencies. It also supports reusable validation rules, integrated audit reports, and standardized data-quality scoring for reproducible data-quality assessment workflows.
How to cite:
Vinodh Kumar Obli Rajendran (2026). DataAudit: Comprehensive Data Quality Auditing and Validation. R package version 0.1.0, https://cran.r-project.org/web/packages/DataAudit. Accessed 04 Oct. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for DataAudit
Functions, R codes and Examples using the DataAudit R package
Full DataAudit package functions and examples
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