Package: TidyPanel
Title: Universal Messy Panel Data Cleaner
Version: 0.1.2
Authors@R: person("TonyIsFool", email = "xulunt123@gmail.com", role = c("aut", "cre"))
Description: A robust toolkit designed to standardize and clean complex
        tabular data from commercial enterprise systems, healthcare
        records, logistics software, and HR databases. Now natively
        supports Excel files, flat-file databases (CSV/TSV), and raw
        data.frame inputs. Features include intelligent regex parsing
        for domain-specific noise (currencies, percentages), horizontal
        side-by-side panel splitting, automated metadata key-value
        extraction from decoy rows, gap-based block clustering, and
        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>.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Imports: dplyr, stringr, rlang, yaml, readxl
Suggests: knitr, rmarkdown, testthat, writexl
VignetteBuilder: knitr
Config/pak/sysreqs: libicu-dev
Repository: https://tonyisfool.r-universe.dev
Date/Publication: 2026-06-21 06:43:14 UTC
RemoteUrl: https://github.com/tonyisfool/tidypanel
RemoteRef: HEAD
RemoteSha: 06d56d5f9ad5ddb8b2def4cc0231766ae5f2e970
NeedsCompilation: no
Packaged: 2026-06-21 10:05:25 UTC; root
Author: TonyIsFool [aut, cre]
Maintainer: TonyIsFool <xulunt123@gmail.com>