Package: TidyPanel
Title: Universal Messy Panel Data Cleaner
Version: 0.2.134
Authors@R: person(given = "Tony", family = "Lu", email = "xulunt123@gmail.com", role = c("aut", "cre"))
Author: Tony Lu [aut, cre]
Maintainer: Tony Lu <xulunt123@gmail.com>
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/RDB),
        gzip-compressed CSV/TSV/TXT/RDB files, 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>. A local JSON
        command-line interface supports reproducible table-cleaning
        jobs and bounded agent handoffs.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Imports: dplyr, stringr, stringi, readxl, jsonlite (>= 1.8.9)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Config/TidyPanel/Edition: public
Config/pak/sysreqs: libicu-dev
Repository: https://tonyisfool.r-universe.dev
Date/Publication: 2026-11-04 03:40:24 UTC
RemoteUrl: https://github.com/tonyisfool/tidypanel
RemoteRef: HEAD
RemoteSha: cb715cb003827b1874827ea0f2f92ad1c384728a
NeedsCompilation: no
Packaged: 2026-11-04 06:50:38 UTC; root