Automatic Exploratory Data Analysis
Overview
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.
Install
Health
- OK13 OKNow
- OK5 OK2026-09-13
Documentation
- Help pages
- 56 (7 internal)
- Examples that run
- 0%1 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 2%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
- GettingStarted HTML
Downloads
Repository
Stars over time
3 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/vinodhpmd/autoeda on 2026-10-18.
The R CMD check workflow runs on macOS
GitHub Pages site
Dependencies
Code & Tests
People & History
- 0.1.1Latest2026-09-12 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-09-12
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.2
- Download size
- 52 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("AutoEDA")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 v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.