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

Emily Barrow DeJeu Carnegie Mellon University

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.

Journal
Journal of Business and Technical Communication
Published
2024-07-01
DOI
10.1177/10506519241239923
Open Access
Closed
Topics

Citation Context

Cited by in this index (1)

  1. Journal of Technical Writing and Communication

Cites in this index (4)

  1. Technical Communication Quarterly
  2. Technical Communication Quarterly
  3. Journal of Business and Technical Communication
  4. College Composition and Communication
Also cites 5 works outside this index ↓
  1. 10.36227/techrxiv.24045792.v1
  2. 10.1002/pra2.2015.1450520100108
  3. 10.1080/08963568.2019.1680189
  4. 10.11645/15.1.2840
  5. 10.1007/978-0-387-39940-9_158
CrossRef global citation count: 14 View in citation network →