a. Price Questions: i. At what price are the laptops actually selling? ii. Does price change with time? The software should then enable different temporal aggregation choices, e.g., plotting the data...


a. Price Questions:


i. At what price are the laptops actually selling?


ii. Does price change with time? The software should then enable different temporal aggregation


choices, e.g., plotting the data by weekly or monthly aggregates, or even by day of week.)


iii. Are prices consistent across retail outlets?


iv. How does price change with configuration?


b. Location Questions:


i. Where are the stores and customers located?


ii. Which stores are selling the most?


iii. How far would customers travel to buy a laptop?


iv. Try an alternative way of looking at how far customers traveled. Do this by creating a new data column that computes the distance between customer and store.


c. Revenue Questions:


i. How do the sales volume in each store relate to

revenues?


ii. How does this relationship depend on the configuration?


d. Configuration Questions:


i. What are the details of each configuration? How does this relate to price? ii. Do all stores sell all configurations?



May 07, 2022
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