Reproducible Data Visualizations Using R and Binder

Abstract

The purpose of this workshop is two-fold. We will cover the importance of data visualization, give you small group coding challenges to re-create particular types of visualizations in R, and show how to build a reproducible Binder. For research to be fully reproducible, we need to share our data, our code and the computational environment that allows the code to be re-executed. BinderHub allows us to do just this by creating a computational instant from a GitHub repository using R packages and their dependencies associated with a particular time point. Once you have completed the data visualization coding challenges we will show you how to capture your data, code, and computational environment in a Binder.

Date
Location
Rotterdam, The Netherlands.
You can scroll through the slides below using your arrow keys or mouse and download the workshop GitHub repository from here.
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Andrew Stewart
Fellow of the Software Sustainability Institute and Senior Lecturer

My interests include open research and reproducibility, data science, experimental psychology, and psycholinguistics. I am a fellow of the Software Sustainability Institute.