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 (or viewing a recording of) our Introduction to R workshop before attending this workshop on ggplot2.
In this workshop, we will use RStudio and RMarkdown files for all exercises. You may use the in-room computers, but if you prefer to bring your own laptop, but please make sure you come with RStudio and the tidyverse package installed. You may also want to install the knitr package to be able to compile the entire Rmarkdown file.
Please note: this classroom has a limited number of seats. If you choose to register for the workshop, please make every effort to attend, or if you cannot, please cancel your registration as soon as a conflict comes up. If all spots fill up, we will maintain a waitlist in the event of cancelations. In addition, a previous version of this workshop has been recorded, and the associated files are available on GitHub. If you can't attend but would like to be notified when materials are available, please contact Angela Zoss.