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

David A. Ellis1 & Hannah L. Merdian2 1 Department of Psychology, Lancaster University, Lancaster, UK 2 School of Psychology, University of Lincoln, Lincoln, UK The accompanying article: Ellis DA and Merdian HL (2015). Thinking outside the box: Developing dynamic data visualizations for psychology with Shiny.  Front. Psychol. 6:1782. doi: 10.3389/fpsyg.2015.01782 We have created a step-by-step tutorial on how to develop dynamic data visualizations using simple psychological data sets*. This can be split into four steps: A: Data preparation B: Creating static content to guide development  C: Development and testing D: Deploying an application online Detailed information and sample code is provided below: A: Data preparation Unprocessed raw data - raw_data [scripts used to process raw data (requires SPSS)] Data for visualization (contains key variables only) - processed_data B: Creating static content to guide development  static_graphics C: Development and testing Example 1 - example1 Example 2 - example2 Example 3 - example3 D: Deploying an application online Detailed guidelines can be found in our paper or directly from Shiny here *=software required R Rstudio R packages shiny ggplot2 ggthemes **devtools **rsconnect - installed from GitHub type the following into your R console devtools::install_github('rstudio/rsconnect') **=only necessary for online deployment