Using Generative AI to Facilitate Data Analysis and Visualization: A Case Study of Olympic Athletes

Author:

DeJeu Emily Barrow1

Affiliation:

1. Tepper School of Business, Carnegie Mellon University, Pittsburgh, PA, USA

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.

Publisher

SAGE Publications

Reference21 articles.

1. Asay M. (2021, August 3). Data science needs drudges. InfoWorld. https://www.infoworld.com/article/3627276/data-science-needs-drudges.html

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3. Integrating Quantitative Literacy into Technical Writing Instruction

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5. Exploring the Synergy between Generative AI, Data and Analytics in the Modern Age

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