Automatic Exploratory Data Analysis
Overview
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.
Improvements
- Removed the default output path from
export_numeric_summary(). - Updated examples, tests, and vignette to use
tempdir()/tempfile(). - Added a comprehensive introductory vignette.
- Improved README and documentation.
- Minor bug fixes and CRAN policy compliance improvements.
From NEWS.md in the release
Install
Health
- OK13 OKNow
- OK7 OK2026-08-09
Documentation
- Help pages
- 56 (7 internal)
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 2%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/vinodhpmd/edaforge on 2026-10-22.
Dependencies
Code & Tests
People & History
- 0.1.1Latestfirst seen 2026-08-08 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First seen
- 2026-08-08
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.2
- Download size
- 55 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("EDAForge")The package provides a citation file, so citation() returns the authors' own entry.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.