ncibtep@nih.gov

Bioinformatics Training and Education Program

Data Visualization in ggplot

Data Visualization in ggplot

 When: Jul. 24th, 2024 10:00 am - 11:30 am

Learning Level: Any

To Know

Where:
NIH Library Training Room, Building 10, Clinical Center, South Entrance
Organizer:
NIH Library
Presented By:
Doug Joubert (NIH Library)
This class has ended.

About this Class

This hour and half in-person training will explore the topics of perception and cognition, and how these apply to data visualization. There will also be a discussion on “pre-attentive” properties or visual properties that “pop-out.” These topics are important guides that inform what chart type is most appropriate to visualize your data. This class will also focus on identifying the appropriate packages for plotting, defining plot aesthetics, and demonstrating how to add layers to ggplot graphs. You must have taken Introduction to R and RStudio class to be successful in this class. 

By the end of this training, participants should be able to: 

  • Describe how perception and cognition inform visualizations 
  • Discuss the connection between data, aesthetics, & the grammar of graphics 
  • Define geoms and distinguish between individual geoms and collective geoms 
  • Create a plot and save it in a high-resolution format 

Attendees are expected to have basic understanding of R and RStudio. In order to proceed, attendees should have done the following:  

  1. Installed R and RStudio 
  2. Taken Introduction to R and RStudio class. If not, here are some resources for getting started: 

Note on Technology

Participants are expected to bring their own laptops to this training. NIH Staff using an NIH-laptop can easily connect to the staff Wi-Fi. If participants are bringing a personal laptop, they are restricted to using the NIH Public Wi-Fi. 

Registrants will receive an email with information and instructions to install and verify access to RStudio and R before the class.  If you register the day before the class, you may not have time to download and properly install the necessary software. If you do not have the software installed, this training will be demo only.

You can request 1 space for in person mode. If no spaces remain, your registration can be rejected or sent to the waitlist if it is available.