Data visualization as a communication tool

Author:

Archambault Susan Gardner,Helouvry Joanne,Strohl Bonnie,Williams Ginger

Abstract

Purpose – This paper aims to provide a framework for thinking about meaningful data visualization in ways that can be applied to routine statistics collected by libraries. Design/methodology/approach – An overview of common data display methods is provided, with an emphasis on tables, scatter plots, line charts, bar charts, histograms, pie charts and infographics. Research on “best practices” in data visualization design is presented; also provided is a comparison of free online data visualization tools. Findings – Different data display methods are best suited for different quantitative relationships. There are rules to follow for optimal data visualization design. Ten free online data visualization tools are recommended by the authors. Originality/value – Evidence-based libraries collect and use data to affect change and to support departmental and institutional accreditation standards. Proper data visualization allows libraries to communicate their message in a more compelling and interesting way, while assisting in the understanding of complex data.

Publisher

Emerald

Subject

Library and Information Sciences,Information Systems

Reference11 articles.

1. Association of Research Libraries (2014), “Statistical trends”, available at: www.arl.org/focus-areas/statistics-assessment/statistical-trends#.U5H5UfldV8F (accessed 27 October 2014).

2. Clayton, T. (2014), “Dress your data for success: data visualization strategies for library assessment [ACRL webcast]”, available at: www.ala.org/acrl/datavisualization (accessed 29 April 2014).

3. Cox, B.L. and Jantti, M.H. (2012), “Capturing business intelligence required for targeted marketing, demonstrating value, and driving process improvement”, Library & Information Science Research , Vol. 34 No. 4, pp. 308-316.

4. Dando, P. (2014), Say It With Data: A Concise Guide to Making Your Case and Getting Results , ALA Editions, Chicago, IL.

5. Few, S. (2012), Show Me the Numbers: Designing Tables and Graphs to Enlighten , 2nd ed., Analytics Press, Burlingame, CA.

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