Workshop Description (Advanced Course)

This interactive and hands-on training is tailored for students and researchers eager to delve into the art and science of data visualization. In this workshop, we will journey through the essentials of data wrangling with dplyr, followed by a deep dive into the powerful ggplot2 package ( and its extensions. By the end of the workshop, you will gain practical experience and explore the vast possibilities of data visualization in R. Besides mastering the technical aspects of these tools, attendees will also learn the best practices and key principles for creating efficient and effective visualizations. Participants should have a basic understanding of R programming. Familiarity with basic data structures in R, such as factors, vectors, and data frames, will be beneficial.

Workshop Topics

Day 1: Introduction to data visualization and ggplot2
– R/RStudio environment setup
– Overview of data visualization: key concepts and workflow
– Data manipulation and transformation with dplyr
– Introduction to ggplot2 and the grammar of graphics
– Hands-on exercises with dplyr and ggplot2

Day 2: In-depth exploration of ggplot2
– Aesthetics and visual elements
– Geometric objects, layer components, and plot types
– Scales (size, shape, colour, position) control
– Coordinate systems and faceting
– Creating Basic Plots with ggplot2: histogram, bar chart, boxplot, scatter plot, etc

Day 3: Advanced topics and customizations in ggplot2
– Customizing Titles, Axes, Legends, and themes
– Principles of Data Visualization and Best Practices
– Exploring ggplot2 Extension Packages
– Building Complex Visualizations with ggplot2

Technical Requirements



Wenbin Guo came from biological and computer science backgrounds and is currently a Ph.D. student in the Bioinformatics IDP at UCLA. His current research focuses on using methylation and transcriptomic data in disease status prediction and biomarker discovery. He is experienced in building bioinformatics pipelines, analyzing high-throughput (genetics/epigenetics/transcriptomics) data as well as applying machine learning methods to biological problems. Aside from research, Wenbin enjoys hiking, sightseeing, and playing sports with friends.



Workshop Details

Prerequisites: Intro to R (W3) is highly recommended.
Length:  3 days, 3 hrs per day
Level: Advanced
Location: Boyer 529
Seats Available: 28

Winter 2024 Dates

Feb 13, 14 and 15

9:00 AM – 12:00 PM