Advanced Data Visualization in ggplot: Part 3 of 3

Data visualization is a critical skill for researchers and analysts, facilitating clear and persuasive communication of research findings. This three-part online series integrates theoretical concepts with practical application in R and RStudio. The series begins with perceptual and design principles underlying effective visualization, continues with hands-on ggplot2 instruction, and concludes with advanced customization techniques for publication-quality graphics. Each session builds on the previous one, enabling participants to develop a comprehensive design framework and the technical proficiency to implement it in R.

This two hour in-person training builds on the topics in Part 2. It advances attendees' plotting skills and refines their ability to create custom plots. Attendees facet data into multi-panel displays, summarize data before plotting, and add informative labels to plots. Attendees will apply ggplot themes and color palettes.  The training also covers the application of ggplot themes and color palettes to produce publication-ready visualizations. To enroll, you must complete Part 2 or have equivalent experience with ggplot2. 

By the end of this training, attendees will be able to:  

• Explain the role of themes, scales, and coordinate systems in customizing ggplot2 visualizations. 

• Adjust themes, labels, and scales to improve clarity and visual appeal in ggplot2 visualizations. 

• Apply advanced customization techniques, such as annotations, faceting, and coordinate transformations, to facilitate interpretation. 

• Refine visualizations to ensure accessibility, readability, and adherence to professional standards. 

Attendees will receive an email with instructions for installing and verifying access to R, RStudio, and required packages before the training. If you register the day before, installing the software may take longer. If you do not install the software, the training will be a demo only.