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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
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: TidyPanel_0.1.2.zip, 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:

Please use the canonical form https://CRAN.R-project.org/package=TidyPanel to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.