Using Generative AI to Facilitate Data Analysis and Visualization: A Case Study of Olympic Athletes
Abstract
The ability to work with data is an important skill for students enrolled in technical and professional communication programs, but students with limited mathematical and computer programming literacies might find it difficult to do basic data analysis or customize data visualizations. This article examines the extent to which ChatGPT can make data analysis and visualization more accessible for students with limited technical proficiency. The results suggest that although the tool is poised to have a substantial impact in helping students create effective data visualizations, its efficacy as a data analysis tool is more limited.
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Biographies
Emily Barrow DeJeu is an assistant teaching professor of business management communication in the Tepper School of Business at Carnegie Mellon University. Her past projects involved mixed-methods genre analysis, and her current research explores using generative AI for writing instruction.
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Article first published online: April 4, 2024
Issue published: July 2024
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