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Analysis Of University Fitness Center Data Uncovers Interesting Patterns, Enables Prediction

ANALYSIS OF UNIVERSITY FITNESS CENTER DATA UNCOVERS INTERESTING PATTERNS, ENABLES PREDICTION

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  • TCMAPY32
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ANALYSIS OF UNIVERSITY FITNESS CENTER DATA UNCOVERS INTERESTING PATTERNS, ENABLES PREDICTION

Analysis of University Fitness Center Data Uncovers Interesting Patterns, Enables Prediction

Abstract:

Data is progressively being utilized to improve regular daily existence less demanding and. Applications, for example, holding up time estimation, weather   forecast, and stopping look are great precedents of how information from various sources can be utilized to encourage our everyday life. Data resources in real world universities, social media, entertainment applications, medical application etc. university ID cards. Such cards are used on many campuses to purchase food, allow access to different areas, and even take attendance in classes. In this article, we use data from our university to analyze usage of the university fitness center and build a predictor for future visit volume. The work makes several contributions: it demonstrates the richness of the data source, shows how the data can be leveraged to improve student services, discovers interesting trends and behavior, and serves as a case study illustrating the entire data science process.

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