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TidyPanel  

Universal Messy Panel Data Cleaner
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("TidyPanel", "0.1.2")



Attach the package and use:
library("TidyPanel")
Maintained by
Tony Lu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-11
Latest Update: 2026-05-11
Description:
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>.
How to cite:
Tony Lu (2026). TidyPanel: Universal Messy Panel Data Cleaner. R package version 0.1.2, https://cran.r-project.org/web/packages/TidyPanel. Accessed 25 Oct. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for TidyPanel
Functions, R codes and Examples using the TidyPanel R package
Full TidyPanel package functions and examples
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