Automatic Exploratory Data Analysis R package EDAForge version 0.1.1 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>. Software 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 Vinodhkumar Obli Rajendran <vinodhkumar.rajendran@gmail.com> Comprehensive R Archive Network (CRAN) Vinodhkumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=EDAForge/LICENSE) 2026-08-08 application/tgz https://CRAN.R-project.org/package=EDAForge doi:10.32614/CRAN.package.EDAForge