Learning data analysis can be boring for students; the data is often dry and unexciting, pulled from a firm some may have never heard of and dealing with a topic they care nothing about. This paper describes an exercise and lab that teaches rudimentary market basket analysis using the students’ own data: preferred characteristics for dating partners. The exercise and lab take the students through data gathering, data cleansing and normalization, data transformation, and analysis.
Larson, Stephen, "Dating Preferences Market Basket Analysis: Making the Data Interesting to Students" (2016). Proceedings of the 2016 Pre-ICIS SIGDSA/IFIP WG8.3 Symposium: Innovations in Data Analytics. 3.