How would you explain the concepts of support, confidence, and lift to an executive who is unfamiliar with association rules analysis
The purpose of this assignment is to perform association rules analysis to determine whether or not the information generated can be used to address a specific business problem.
For this assignment, you will use the “Bakery” data set from the Topic Materials. Most data categories are self-explanatory. Clarifying notes are as follows.
ReceiptID: Unique receipt ID (note that all items with the same receipt ID were purchased together)
Item: Name of the food item that was purchased
A bakery is interested in increasing sales by optimally displaying and arranging its various baked goods and drinks. The bakery would like to know which items are typically purchased together so it can place the correlated items closer together in its display cases. The bakery has randomly selected 1,000 receipts and compiled a list of items that were purchased together for each receipt.
As an analyst, you have been asked to examine the data, summarize your findings, and recommend how the bakery can use these findings to strategically arrange its bakery products to increase sales. Use associative rules analysis to explore the various dependencies among purchased items. Use the Apriori method to do the analysis with a minimum antecedent support of 4%, minimum confidence of 70%, and maximum number of antecedents of 5. Analyze and interpret several of the resulting rules. Present your finding in the form of a 250-word executive summary that includes relevant data, charts, and tables, and addresses the following.
Question 1: How would you explain the concepts of support, confidence, and lift to an executive who is unfamiliar with association rules analysis? Include the Apriori method output chart when submitting the answer.
Question 2: What would you say about the support of the rules derived from the Apriori analysis?
Question 3: If both an apple tart and an apple Danish were purchased, how likely is it that an apple croissant is also purchased? Explain your answer.
Question 4: Does it make sense for the bakery to place all of its apple-flavored items together in the display or is it better to spread them out in the display? Explain why.
Question 5: If the bakery wanted to increase the sales of cherry soda, what cross-promotional offers could it employ? Explain why.
……………………Answer preview…………………..The association rule analysis assists business people in discovering co-occurrence relationships between the products they sell by analyzing their support, confidence and lift. Support is the probability of find items or itemset in a transaction. Confidence is the chance of finding one of the items or set of items appears…………………….
