Q1. You are given the transaction data shown in the Table below from a fast food restaurant (provide immunity based service during covid period). There are 9 distinct transactions (order: 1 - order: 9) and each transaction involves between 2 to 4 items. There are a total of 5 immunity based meal items that are involved in the transactions. [4+4+4+8] Meal Item List of Items IDs Meal Item List of Items IDs Order1 Milk Egg Fruit Order6 Egg, Juice Order2 Egg, Salami Order7 Milk, Juice Order3 Egg, Juice Order8 Milk Egg Juice, Fruit Order4 Order5 Milk, Egg, Salami Milk, Juice Order9 Milk Egg Juice For all of the parts below the minimum support is 2 (2/9=22) and the minimum confidence is 100%. 1(a). Apply the Apriori algorithm to the dataset of transactions and identify all frequent k- item sets. Show your entire work in given answer sheet (manually). You must show candidates but can cross them off to show the ones that pass the minimum support threshold. (All steps are complousery) 1(b). Find all strong association rules which have 100% confidence in the form: XAY >> Z and note their lift values also. 1(c). Write R script for the Entire Procedure and draw Association graph for same. 1(d). How you are arranging above items in the store, design sore layout for the same, so that you will get maximum benefit? Please suggest all computational steps for store layout. Submit your excel sheet also if any and write important steps in the answer sheet.