A Practitioner’s Guide to Best Practices in Data Visualization

Jeffrey D. Camm (), Michael J. Fry () and Jeffrey Shaffer ()
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Jeffrey D. Camm: School of Business, Wake Forest University, Winston-Salem, North Carolina 27109
Michael J. Fry: Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, Ohio 45221
Jeffrey Shaffer: Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, Ohio 45221

Interfaces, 2017, vol. 47, issue 6, 473-488

Abstract: Data visualization is the process of visualizing data through tables, charts, graphs, maps, and other visual aids. Data visualization is often thought of as a descriptive tool, but it is also important for use in predictive and prescriptive analytics. It serves as a tool for descriptive data exploration, but also for communicating insights from data and from analytical models. In this tutorial, we provide a concise discussion of best practices for data visualization for effective communication.

Keywords: professional: OR-MS; professional: implementation (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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