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).

• Michael Hahsler. arulesViz: Interactive visualization of association rules with R. R Journal, 9(2):163-175, December 2017.
• Michael Hahsler, Sudheer Chelluboina, Kurt Hornik, and Christian Buchta. The arules R-package ecosystem: Analyzing interesting patterns from large transaction datasets. Journal of Machine Learning Research, 12:1977-1981, 2011.