AutoEDA: Automatic Exploratory Data Analysis

Automatically performs exploratory data analysis 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) and the cited methodological literature in the package documentation.

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:	2026-09-12
DOI:	10.32614/CRAN.package.AutoEDA (may not be active yet)
Author:	Vinodhkumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]
Maintainer:	Vinodhkumar Obli Rajendran <vinodhkumar.rajendran at gmail.com>
BugReports:	https://github.com/vinodhpmd/AutoEDA/issues
License:	MIT + file LICENSE
URL:	https://github.com/vinodhpmd/AutoEDA
NeedsCompilation:	no
Language:	en-US
Citation:	AutoEDA citation info
Materials:	README, NEWS
CRAN checks:	AutoEDA results

Documentation:

Reference manual:	AutoEDA.html , AutoEDA.pdf
Vignettes:	GettingStarted (source, R code)

Downloads:

Package source:	AutoEDA_0.1.1.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): AutoEDA_0.1.1.tgz, r-release (x86_64): AutoEDA_0.1.1.tgz, r-oldrel (x86_64): AutoEDA_0.1.1.tgz

Linking:

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