Thinking outside the box:developing dynamic data visualizations for psychology with Shiny

Ellis, David Alexander and Merdian, Hannah (2015) Thinking outside the box:developing dynamic data visualizations for psychology with Shiny. Frontiers in Psychology, 6 (1782). ISSN 1664-1078

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Abstract

The study of human perception has helped psychologists effectively communicate data rich stories by converting numbers into graphical illustrations and data visualization remains a powerful means for psychology to discover, understand and present results to others. However, despite an exponential rise in computing power, the World Wide Web and ever more complex data sets, psychologists often limit themselves to static visualizations. While these are often adequate, their application across professional psychology remains limited. This is surprising as it is now possible to build dynamic representations based around simple or complex psychological data sets. Previously, knowledge of HTML, CSS or Java was essential, but here we develop several interactive visualizations using a simple web application framework that runs under the R statistical platform: Shiny. Shiny can help researchers quickly produce interactive data visualizations that will supplement and support current and future publications. This has clear benefits for researchers, the wider academic community, students, practitioners, and interested members of the public.

Item Type:
Journal Article
Journal or Publication Title:
Frontiers in Psychology
Additional Information:
Copyright: © 2015 Ellis and Merdian. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/3200
Subjects:
ID Code:
76514
Deposited By:
Deposited On:
10 Nov 2015 16:36
Refereed?:
Yes
Published?:
Published
Last Modified:
29 Sep 2020 02:32