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AutoViz

AutoViz 1.0.0 is an R package for automated exploratory data analysis, visualization recommendation, and lightweight HTML dashboard generation.

What makes AutoViz different?

AutoViz is not a replacement for Shiny. Shiny is a framework for building interactive web applications. AutoViz is an analytical layer that inspects a rectangular dataset and recommends useful visualizations and diagnostics.

Installation

Install the released package from CRAN when available:

install.packages("AutoViz")

Install the development version from GitHub:

remotes::install_github("autoviz-r/AutoViz")

Quick start

library(AutoViz)

av <- autoviz(iris)
av

vb_profile(iris)
vb_summary(iris)
vb_missing(iris)
vb_outliers(iris)
vb_recommend(iris)

vb_plot(iris, "Species", type = "bar")

dashboard <- vb_dashboard(iris, title = "Iris Data Dashboard")
htmltools::save_html(dashboard, "autoviz-dashboard.html")

Design

The package follows a simple pipeline:

data -> profiling -> diagnostics -> recommendation -> visualization/dashboard

The core workflow does not require Shiny. Shiny can be used separately when a user wants to wrap AutoViz outputs in a larger interactive application.

Scope of 1.0.0

Version 1.0.0 focuses on rectangular data, transparent rule-based recommendations, standard ggplot2 visualizations, and a lightweight HTML dashboard. It intentionally avoids opaque machine-learning-driven chart selection so that recommendations remain reproducible and explainable.

License

MIT.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.