College course resource built by students, for students.
Over the summer, I worked with Joyce Robbins on an online resource for a course at Columbia University called “Exploratory Data Analysis and Visualization”, or EDAV for short. The course covers how to visualize/work with data using R. We wanted to make a resource for students that had all the information about how to get started as well as examples to learn by doing.
The result is edav.info/, a resource combining examples, advice, and other things to help students start visualizing/working with R. There are several pages on the basics, pretty examples of different plot types, and helpful discussions on how to get the most out of the course and of R itself. Also, we ensured the resource was easy to modify so students could propose changes and help the quality continuously improve. As an added touch, we created a custom logo for the resource and custom icons for each chapter. We are very excited with the result and hope students enjoy exploring the resource and its examples.
If you want to show off your love for EDAV or R in the form of a cool shirt, checkout the EDAV Teespring Store. Interested in contributing to the resource? Read our page on contributing or checkout our github repo. This resource was published using bookdown.
⭐ We are excited to say that edav.info/ received an honorable mention prize in the 1st Bookdown Contest hosted by the package’s author, Yihui Xie, and RStudio. Feel free to checkout our submission for a more formal explanation of the resource.