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. 2015 Dec 1;6:1782. doi: 10.3389/fpsyg.2015.01782

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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.

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Static vs. dynamic data visualization. A static graph showing a positive relationship between fear and emotionality (A) can quickly be turned into a dynamic visualization (B) which in this example allows a website visitor to select a sub-group (male participants) of interest. Other variables are also available from the drop-down menus on the left and the included statistical analysis updates automatically based on user selections. However, this relies on the data being available to both a user interface and server to process these requests. Previously this was only possible by developing interactive web applications using a combination of HTML, CSS, or Java. However, this is no longer a limiting factor. For those who have a basic knowledge of R, the move from static to dynamic reporting is relatively straightforward.