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University of California, Los Angeles *

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Industrial Engineering

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Feb 20, 2024

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docx

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1. If a customer buys milk, they tend to buy cookies as well. 2. If a customer buys mustard, they usually buy paper towels with it. 3. If a customer buys chips, they tend to buy candy bars as well. 4. If a customer buys diapers, they tend to buy whipped cream as well. A: 1. What trends can you spot immediately in the data? Milk, ice cream, chips, cookies, mustard, and paper towels are the most popular items to buy. The two people who bought baby formula also bought milk. People bought diapers, towels and baby formula. Buy two cases of diapers get a can of whipped cream for $1 off Buy one set of these two items, get the second set 40% off Buy two bags of chips get a candy bar for free Buy cookies, get milk 50% off Whipped cream Diapers Mustard Paper towels Chips Candy bars Cookies Milk

2. What might be useful ways of organizing the data to allow you to spot more trends? Displaying a number of times an item was bought by a customer. 3. Are there any negative associations between products? According to the receipts, bread, battery, paper, bananas, and pencils were the least bought products. 4. What additional information might be helpful? How many people in a family, and what foods they like and don’t like. 5. Can you imagine scenarios in which sets of products are grouped together? Whipped cream and ice cream might be bought together so people can make sundaes with their ice cream for dessert. D: 1. What is the significance of the numbers in the two-way table? How are these different than checkmarks? The numbers in the two-way table show how many receipts display the number of people who bought two items at the same time. 2. Why is the diagonal and the area below the diagonal in the two-way table grayed out? The diagonal is grayed out because no one bought a combination of those items. 3. How do these modifications relate to the efficiency of the data extraction and storage? The two-way table shows the number of people who bought certain items together, which can help identify the most popular items, the least popular items, items that are bought together frequently, and how to make deals to promote sales of unpopular items. 4. What information is easier to extract from the two-way table than the raw extracted receipt data?

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