TidyPanel: Universal Messy Panel Data Cleaner

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>.

Version:	0.1.2
Imports:	dplyr, stringr, readxl
Suggests:	knitr, rmarkdown, testthat, writexl
Published:	2026-05-11
DOI:	10.32614/CRAN.package.TidyPanel (may not be active yet)
Author:	Tony Lu [aut, cre]
Maintainer:	Tony Lu <xulunt123 at gmail.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
Materials:	README
CRAN checks:	TidyPanel results

Documentation:

Reference manual:	TidyPanel.html , TidyPanel.pdf
Vignettes:	Introduction to TidyPanel (source, R code)

Downloads:

Package source:	TidyPanel_0.1.2.tar.gz
Windows binaries:	r-devel: TidyPanel_0.1.2.zip, r-release: not available, r-oldrel: TidyPanel_0.1.2.zip
macOS binaries:	r-release (arm64): TidyPanel_0.1.2.tgz, r-oldrel (arm64): TidyPanel_0.1.2.tgz, r-release (x86_64): TidyPanel_0.1.2.tgz, r-oldrel (x86_64): TidyPanel_0.1.2.tgz

Linking:

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