Demo shiny app
Shiny lets you make web applications that do anything you can code in R. For example, you can share your data analysis in a dynamic way with people who don’t use R, collect and visualize data, or even make data aRt.
While there is a wealth of material available on the internet to help you get started with Shiny, it can be difficult to see how everything fits together. This class will take a predominantly live coding approach, rather than a lecture-only approach, so you can code along with the instructor and deal with the inevitable bugs and roadblocks together.
This class will teach you the basics of Shiny app programming, giving you skills that will form the basis of almost any app you want to build. By the end of the class, you will have created a custom app that collects and saves data, allows users to dynamically visualize the data, and produces downloadable reports.
Lisa DeBruine
Professor of Psychology
Lisa DeBruine is a professor of psychology at the University of Glasgow. Her substantive research is on the social perception of faces and kinship. Her meta-science interests include team science (especially the Psychological Science Accelerator), open documentation, data simulation, web-based tools for data collection and stimulus generation, and teaching computational reproducibility.