AutoViz: Automated Data Visualization and Exploratory Dashboarding

Provides automated exploratory data analysis, visualization recommendation, summary statistics, missing-value assessment, outlier screening, and HTML dashboard generation for rectangular data. The package automatically identifies variable types and common analytical relationships and recommends appropriate visualization methods based on data structure, cardinality, and analytical objectives. It provides a transparent, reproducible workflow for data profiling and visualization that can be used independently or as a component within interactive applications.

Version:	1.0.0
Imports:	ggplot2, htmltools, rlang
Suggests:	testthat (≥ 3.0.0), knitr, rmarkdown, shiny
Published:	2026-09-14
DOI:	10.32614/CRAN.package.AutoViz (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/AutoViz/issues
License:	MIT + file LICENSE
URL:	https://github.com/vinodhpmd/AutoViz
NeedsCompilation:	no
Language:	en-US
Materials:	README, NEWS
CRAN checks:	AutoViz results

Documentation:

Reference manual:	AutoViz.html , AutoViz.pdf
Vignettes:	AutoViz: Automated Exploratory Data Visualization (source, R code)

Downloads:

Package source:	AutoViz_1.0.0.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): AutoViz_1.0.0.tgz, r-release (x86_64): AutoViz_1.0.0.tgz, r-oldrel (x86_64): AutoViz_1.0.0.tgz

Linking:

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