Science University Research Symposium (SURS)

Decoding Nuclear Power with Data

Publication Date

Fall 11-24-2025

College

College of Sciences & Mathematics

Department

Math and Computer Science, Department of

SURS Faculty Advisor

Dr. Christina Davis

Presentation Type

Poster Presentation

Abstract

Nuclear energy can be harnessed to create electricity as an alternative to coal or other sources that release carbon and other by-products into the atmosphere. Using a dataset dedicated to nuclear energy generation, energy safety, and global trends, multiple applications were created using Plotly Studio to analyze the data. The applications included interactive features and filters that created a user-friendly web based experience to investigate different aspects of the data set in depth. We found that the country that uses the largest percentage of nuclear energy compared to their total usage was France. Additionally, we found that although the deaths associated with nuclear energy have been highly publicized, coal and oil deaths are significantly greater. We also generated figures to determine the relationship between summer total generating capacity and the net production for the year to see if it followed a linear pattern.

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