<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>tonyisfool.r-universe.dev</title><link>https://tonyisfool.r-universe.dev</link><description>Recent package updates in tonyisfool</description><generator>R-universe</generator><image><url>https://github.com/tonyisfool.png</url><title>R packages by tonyisfool</title><link>https://tonyisfool.r-universe.dev</link></image><lastBuildDate>Sun, 21 Jun 2026 06:43:14 GMT</lastBuildDate><item><title>[tonyisfool] TidyPanel 0.1.2</title><author>xulunt123@gmail.com (TonyIsFool)</author><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) &lt;doi:10.18637/jss.v059.i10&gt; and the
'readxl' parsing infrastructure described in Wickham &amp; Bryan
(2023) &lt;https://readxl.tidyverse.org&gt;.</description><link>https://github.com/r-universe/tonyisfool/actions/runs/27900851672</link><pubDate>Sun, 21 Jun 2026 06:43:14 GMT</pubDate><r:package>TidyPanel</r:package><r:version>0.1.2</r:version><r:status>success</r:status><r:repository>https://tonyisfool.r-universe.dev</r:repository><r:upstream>https://github.com/tonyisfool/tidypanel</r:upstream><r:article><r:source>TidyPanel_introduction.Rmd</r:source><r:filename>TidyPanel_introduction.html</r:filename><r:title>Introduction to TidyPanel</r:title><r:created>2026-05-03 03:16:36</r:created><r:modified>2026-05-06 02:49:54</r:modified></r:article></item><item><title>[tonyisfool] DataDNA 0.1.0</title><author>xulunt123@gmail.com (Tony Lu)</author><description>Profiles R data frames as compact data fingerprints using
schema, shape, missingness, distribution, category, uniqueness,
time, and role signals. It compares versions, identifies close
relatives in a library of historical data sets, and renders
portable HTML cards plus static PNG/PDF lineage figures for
reports.</description><link>https://github.com/r-universe/tonyisfool/actions/runs/27057114477</link><pubDate>Mon, 04 May 2026 10:13:22 GMT</pubDate><r:package>DataDNA</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://tonyisfool.r-universe.dev</r:repository><r:upstream>https://github.com/tonyisfool/datadna</r:upstream></item></channel></rss>