Universal Messy Panel Data Cleaner R package TidyPanel version 0.1.2 A robust toolkit designed to standardize and clean complex tabular data from commercial enterprise systems, healthcare records, logistics software, and HR databases. Features include intelligent regex parsing for domain-specific noise (currencies, percentages), gap-based block clustering, and automated messy table resolution. Methods draw on tidy data principles described in Wickham (2014) <doi:10.18637/jss.v059.i10> and the 'readxl' parsing infrastructure described in Wickham & Bryan (2023) <https://readxl.tidyverse.org>. Software Imports: dplyr, stringr, readxl Suggests: knitr, rmarkdown, testthat, writexl Tony Lu <xulunt123@gmail.com> Comprehensive R Archive Network (CRAN) Tony Lu [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=TidyPanel/LICENSE) 2026-05-11 application/tgz https://CRAN.R-project.org/package=TidyPanel doi:10.32614/CRAN.package.TidyPanel