用R语言对购物篮数据进行关联分析及可视化

数据格式：

1001,Choclates
1001,Pencil
1001,Marker
1002,Pencil
1002,Choclates
1003,Pencil
1003,Coke
1003,Eraser
1004,Pencil
1004,Choclates
1004,Cookies
1005,Marker
1006,Pencil
1006,Marker
1007,Pencil
1007,Choclates

R Source Code:

#Install the R package arules

install.packages(“arules”);

#load the arules package

library(“arules”);

# read the transaction file as a Transaction class

# file – csv/txt

# format – single/basket (For ‘basket’ format, each line in the transaction data file represents a transaction

#           where the items (item labels) are separated by the characters specified by sep. For ‘single’ format,

#           each line corresponds to a single item, containing at least ids for the transaction and the item. )

# rm.duplicates – TRUE/FALSE

# cols -   For the ‘single’ format, cols is a numeric vector of length two giving the numbers of the columns (fields)

#           with the transaction and item ids, respectively. For the ‘basket’ format, cols can be a numeric scalar

#           giving the number of the column (field) with the transaction ids. If cols = NULL

# sep – “,” for csv, “\t” for tab delimited

txn = read.transactions(file=”D:\\Transactions_sample.csv”, rm.duplicates= FALSE, format=”single”,sep=”,”,cols =c(1,2));

# Run the apriori algorithm

basket_rules <- apriori(txn,parameter = list(sup = 0.5, conf = 0.9,target=”rules”));

# Check the generated rules using inspect

inspect(basket_rules);

#If huge number of rules are generated specific rules can read using index

inspect(basket_rules[1]);

#To visualize the item frequency in txn file

itemFrequencyPlot(txn);

#To see how the transaction file is read into txn variable.

inspect(txn);
library(arulesViz)

#arulesViz中有很多图形，介绍几个好看的，画图的对象都是rules

plot(rules, shading="order", control=list(main = "Two-key plot"))

plot(rules, method="grouped")

plot(rules, method="graph")

参考文献：

[1] http://prdeepakbabu.wordpress.com/2010/11/13/market-basket-analysisassociation-rule-mining-using-r-package-arules/

[2] http://www.maenchi.com/?p=172