Data comes in all kinds of shapes and sizes, and usually needs a lot of cleaning up before it’s ready to be analyzed. This hands-on session will serve as an introduction to tools for tidying up your data, including the intuitive point-and-click tool Open Refine and the programming language R. We’ll use these tools to correct errors, reshape data, and make life easier for you and anybody else who will be using your data. The first half of the class will focus on Open Refine, and the second will focus on the popular packages dplyr and tidyr for R. We want to get started right away, so please install the following on your device prior to the workshop:

• OpenRefine (Google Refine 2.5) (http://openrefine.org/download.html)
• R (https://cran.cnr.berkeley.edu/)
• RStudio Desktop (Free License) (https://www.rstudio.com/products/rstudio/download/)

Presenter: James Adams, Data and Visualization Librarian

Register: dartgo.org/data_management_workshops