arulesViz - Visualizing Association Rules and Frequent Itemsets with R

This R package extends package arules with various visualization techniques for association rules and itemsets. The package also includes several interactive visualizations for rule exploration.

Installation

Stable CRAN version: install from within R with

install.packages("arulesViz")

Current development version: install from GitHub (needs devtools) with

devtools::install_github("mhahsler/arulesViz")

This might also require the development version of arules.

Features

  • Visualizations using engines ggplot2, grid, base (R base plots), htmlwidget (powered by plotly and visNetwork).
  • Interactive visualizations using grid, plotly and visNetwork.
  • Interactive rule inspection with datatable.
  • Integrated interactive rule exploration using ruleExplorer.

Available Visualizations:

  • Scatterplot, two-key plot
  • Matrix and matrix 3D visualization
  • Grouped matrix-based visualization
  • Several graph-based visualizations
  • Doubledecker and mosaic plots
  • Parallel Coordinate plot

Usage

Mine some rules.

library(arulesViz)
data(Groceries)
rules <- apriori(Groceries, parameter = list(support = 0.005, confidence = 0.5))

Standard visualization

plot(rules)

Interactive visualization with plotly

plot(rules, engine = "plotly")

Open example output.

Interactive inspect with datatable

inspectDT(rules)

Open example output.

References

  • Michael Hahsler and Sudheer Chelluboina. [Visualizing Association Rules: Introduction

to the R-extension Package arulesViz](https://cran.r-project.org/package=arulesViz/vignettes/arulesViz.pdf) (with complete examples).

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Install

install.packages('arulesViz')

Monthly Downloads

8,988

Version

1.5-0

License

GPL-3

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Last Published

May 21st, 2021

Functions in arulesViz (1.5-0)