Data science skills are increasingly important for research and industry projects.  With complex data science projects, however, come complex needs for understanding and communicating analysis processes and results.  Ultimately, an analyst's data science toolbox is incomplete without visualization skills.  Incorporating effective visualizations directly into the analysis tool you are using can facilitate quick data exploration, streamline your research process, and improve the reproducibility of your research.

In this workshop we will focus on ggplot2, a library for R that creates clear and well-designed visualizations and that plays well with other tidyverse packages. While prior experience with ggplot2 and with other tidyverse packages is not required, some basic familiarity with R is expected.  Please consider attending our Introduction to R workshop before attending this workshop on ggplot2.

In this workshop, we will use RStudio for all exercises. You will need to bring your own laptop.  If you don't have RStudio installed, you may be able to use RStudio in a web browser by logging into the OIT Docker Containers site and selecting the RStudio container.  Email askdata@duke.edu if you have any trouble gaining access to RStudio, either by installing the software on your machine or by using the Docker container from the link above.