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:
Downloads:
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