joinspy: Diagnostic Tools for Data Frame Joins

Provides diagnostic tools for understanding and debugging data frame joins. Analyzes key columns before joining to detect duplicates, mismatches, encoding issues, and other common problems. Explains unexpected row count changes and provides safe join wrappers with cardinality enforcement. Concepts and diagnostics build on tidy data principles as described in Wickham (2014) <doi:10.18637/jss.v059.i10>.

Version:	0.7.3
Depends:	R (≥ 4.1)
Imports:	cli, rlang
Suggests:	dplyr, data.table, tibble, testthat (≥ 3.0.0), knitr, rmarkdown, shiny, miniUI
Published:	2026-01-23
DOI:	10.32614/CRAN.package.joinspy
Author:	Gilles Colling [aut, cre, cph]
Maintainer:	Gilles Colling <gilles.colling051 at gmail.com>
BugReports:	https://github.com/gcol33/joinspy/issues
License:	MIT + file LICENSE
URL:	https://gillescolling.com/joinspy/, https://github.com/gcol33/joinspy
NeedsCompilation:	no
Language:	en-US
Materials:	README, NEWS
CRAN checks:	joinspy results

Documentation:

Reference manual:	joinspy.html , joinspy.pdf
Vignettes:	Common Join Issues and Solutions (source, R code) Getting Started with joinspy (source, R code)

Downloads:

Package source:	joinspy_0.7.3.tar.gz
Windows binaries:	r-devel: joinspy_0.7.3.zip, r-release: joinspy_0.7.3.zip, r-oldrel: joinspy_0.7.3.zip
macOS binaries:	r-release (arm64): joinspy_0.7.3.tgz, r-oldrel (arm64): joinspy_0.7.3.tgz, r-release (x86_64): joinspy_0.7.3.tgz, r-oldrel (x86_64): joinspy_0.7.3.tgz

Reverse dependencies:

Reverse suggests:

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