EDAForge: Automatic Exploratory Data Analysis

Automatically performs exploratory data analysis (EDA) for tabular datasets, including data summaries, missing value analysis, descriptive statistics, visualizations, correlation analysis, outlier detection, and automated report generation. The package provides a streamlined workflow for rapid data exploration and produces publication-ready tables and graphics. For methodological details see Tukey (1977, ISBN:9780201076165), Pearson (1895) <doi:10.1098/rspl.1895.0041>, and Wickham (2014) <doi:10.18637/jss.v059.i10>.

Version:	0.1.1
Depends:	R (≥ 4.2)
Imports:	e1071, rlang, dplyr, ggplot2, tidyr, psych, factoextra, openxlsx, GGally, visdat, igraph
Suggests:	knitr, mice, rmarkdown, testthat (≥ 3.0.0), tibble
Published:	2026-08-08
DOI:	10.32614/CRAN.package.EDAForge
Author:	Vinodhkumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]
Maintainer:	Vinodhkumar Obli Rajendran <vinodhkumar.rajendran at gmail.com>
BugReports:	https://github.com/vinodhpmd/EDAForge/issues
License:	MIT + file LICENSE
URL:	https://github.com/vinodhpmd/EDAForge
NeedsCompilation:	no
Citation:	EDAForge citation info
Materials:	README, NEWS
CRAN checks:	EDAForge results

Documentation:

Reference manual:	EDAForge.html , EDAForge.pdf
Vignettes:	Getting Started with EDAForge (source, R code)

Downloads:

Package source:	EDAForge_0.1.1.tar.gz
Windows binaries:	r-devel: not available, r-release: EDAForge_0.1.1.zip, r-oldrel: EDAForge_0.1.1.zip
macOS binaries:	r-release (arm64): EDAForge_0.1.1.tgz, r-oldrel (arm64): EDAForge_0.1.1.tgz, r-release (x86_64): EDAForge_0.1.1.tgz, r-oldrel (x86_64): EDAForge_0.1.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=EDAForge to link to this page.