what insight can the grocery store obtain about its purchasers of the Italian fare

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

Managerial Report

a. Rather than a codebook in Appendix B, you are to clean the data and import it into R in whatever way you wish. This could be as painstaking as writing each individual transaction out or as simple as finding a clever way to read the data. Whatever you decide, replace the codebook with a set of instructions for someone to import the data into R the same way that you did. Note: there are some very easy and unconventional ways to read this data into R.

b. Create a frequency distribution for the new Italian items.

c. Use a minimum support of 25% of the transactions (250 of the 1,000 total transactions) and a minimum confidence of 50% to generate a list of association rules. How many rules satisfy this criterion? Why may the grocery store want to change the minimum support required for their analysis? What is the risk of changing the minimum support required?

d. Using the list of rules from part (b), consider the rule with the largest lift ratio that also involves an Italian item. Interpret what this rule is saying about the relationship between the antecedent item set and consequent item set.

e. Interpret the confidence of the rule with the largest lift ratio that also involves an Italian item.

f. Interpret the lift ratio of the rule with the largest lift ratio that also involves an Italian item.

g. What insight can the grocery store obtain about its purchasers of the Italian fare?

h. The store wants to move online and wants to create a recommender system for these Italian items. For each Italian item, determine the top 5 additional items that the store should recommend to the customer.

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