Use the bank account data set from the previous exercise to perform association rule analysis. Make sure to read the data file into R using the readtransactions function first. 

a. Explore the data using an item frequency plot and a frequency table. Which account type is the most frequent item?

b. Generate association rules with a minimum support of 0.1 and minimum confidence of 50%. Sort the rules by lift ratio. How many rules are generated? Report and interpret the lift ratio of the top rule.  

Data from Exercises 62

Beau Crew is the branch manager of a major bank. He is interested in understanding which types of accounts a customer tends to have simultaneously so that he can offer additional financial services to his clients. He has compiled a list of customers and the accounts they have. A portion of the data is shown in the accompanying table. Find association rules for Beau’s study. Use 10 as the minimum support and 50% as the minimum confidence values. How many rules are generated. Report and interpret the lift ratio of the top rule. 

Customer 1 Customer 2 : Customer 81 HELOC,IRA,Checking Mortgage.CD.Checking.CD : Checking,Savings