High Impact Practices Student Showcase Spring 2025
What makes a song likeable?
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Course Code
STA
Course Number
4164
Faculty/Instructor
Professor Nathaniel Simone
Faculty/Instructor Email
nathaniel.simone@ucf.edu
Abstract, Summary, or Creative Statement
The purpose of this project was to demonstrate the skills I learned in my research intensive course, Statistical Methods III. The goal of this project was to find out what aspects of a song can be used to predict the number of streams, and which aspects are most significant. To do this I used data from the Spotify API, and used R to clean and transform the data, as well as build a model. Through this course and project I learned the full process of statistical model building, how to interpret output from R, and how to communicate my findings to others in an understandable way.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Keywords
Music; Songs; Spotify; Statistics
Recommended Citation
Longmire, Emily J., "What makes a song likeable?" (2025). High Impact Practices Student Showcase Spring 2025. 6.
https://stars.library.ucf.edu/hip-2025spring/6
Accessibility Statement
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