Abstract
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.
Recommended Citation
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.
https://aisel.aisnet.org/sigdsa2016/3