Publication Date
Spring 4-16-2025
College
College of Sciences & Mathematics
Department
Math and Computer Science, Department of
Student Level
Undergraduate
SPARK Session
Dr. Christina Davis, Data Science; 11:45-12:45
Presentation Type
Article
Summary
This project focuses on analyzing athlete performance and strength metrics for a sports facility using historical data spanning over 10 years. The facility tracks athlete performance throughout the year, and this study aimed to explore patterns in the data while introducing Power BI as a visualization tool for the first time. The project involved extensive data cleaning and merging multiple datasets to align player records with their performance history. The cleaned data was then loaded into Power BI and Python for analysis. Various analytical methods, including K-Nearest Neighbors (KNN) clustering and bootstrapping, were applied to uncover trends in player development. Results will be shared at the SPARK symposium. By transforming raw data into meaningful insights, this project provides the facility with a clearer understanding of athlete progress over time and equips players with visual tools to track their agility, speed, and strength improvements.
Recommended Citation
Croke, Brielle, "Game Changer: Visualizing Player Progress" (2025). SPARK Symposium Presentations. 315.
https://repository.belmont.edu/spark_presentations/315
