Journal of Business and Technical Communication Jul 2024

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
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Open Access
Closed
Topics
professional writing qualitative research digital rhetoric artificial intelligence literacy studies
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Citation Context

Cited by in this index (4)

  1. Mallette et al. (2026)
    Preparing to Edit Ethically with and for AI Contexts
    Technical Communication Quarterly
  2. Getto et al. (2026)
    How to Write With GenAI: A Framework for Using Generative AI to Automate Writin…
    Journal of Technical Writing and Communication
  3. DeJeu et al. (2025)
    “Don’t Ban, Teach”: Two Pilot Studies on AI Instruction in Business Communication
    Business and Professional Communication Quarterly
  4. DeJeu (2024)
    A Rhetorical Approach for Reimagining Business Writing Instruction in the AI Age
    Business and Professional Communication Quarterly

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CrossRef global citation count: 16 View in citation network → Build reading path →

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