Basics of R- Session 12.2- Market Basket Analysis

 library(arules)

library(arulesViz)

# file mbaper

library(arules)

library(arulesViz)

data1<-read.csv("file:///D:/1 Teaching Material/1 inurture Lectures/1 multivariate data analysis/1 Multivariate Data Analysis PPts Self/MBA/MBA- Main/data1.csv")

data3<-as(split(data1[,"product"],data1[,"tid"]), "transactions")

inspect(data3)

itemFrequencyPlot(data3,topN=20,type="absolute")

rules1 <- apriori(data3) # command to find all the apriori rules possible

rules2 <- apriori(data3, parameter = list(supp = 0.001, conf = 0.001)) # command to find all the apriori rules with support =0.001 and conf =0.8, it takes a long time

inspect(rules2) 

sort(rules2, by ="confidence")

inspect(sort(rules2, by ="confidence"))

#  Plot the Rules

library(arulesViz)

plot(rules2)

plot(rules1, method = "graph")

plot(rules1, method = "grouped")

plotly_arules(rules1)

#--------------------------------------------------

library(arulesViz)

plot(rules2,method="graph",interactive=FALSE,shading=NA)