Learn how to create advanced visualizations in R with the ggplot2 package. We will learn the Grammar of Graphics, the underlying design philosophy that underpins ggplot2’s layered graphics. In this workshop, we will become familiar with the ggplot2 syntax, learn how to use it to develop more complex plots, and create statistical data visualizations.
Website: dataservices.library.jhu.edu/
Contact us: dataservices@jhu.edu
JHU Data Services, part of the Johns Hopkins University Sheridan Libraries, helps the JHU community find, use, visualize, manage, and share data. We offer live webinars and self-paced online trainings on computational research and coding, GIS, data management, data visualization, and more. See all of our training topics on our website.
This repository contains materials for one of our live webinars open to JHU students, faculty, and staff. Please contact us with any questions.
As of March 2020, Data Services workshops are being held virtually on Zoom. See our calendar to register for upcoming workshops.
Access the workshop slides online at Data Visualization in R with ggplot2 Slides
- In-ClassScripts: This folder contains code files you will need for the workshop:
ggplot2-workshop-exercises.Rmd
- PresentationMaterials: This folder contains PowerPoint slides and other presentation materials used in the workshop
data-vis-in-r-ggplot2-slides.Rmd
- Resources: This folder contains cheatsheets to assist you during the workshop and links to external sources for you to continue your learning
ggplot2-cheatsheet.pdf
If you have taken the live webinar for this class, please take this survey: bit.ly/ggplot2-survey
The presentation materials are adapted from https://github.com/rstudio-education/bootcamper licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0), attributable to Data Services, Johns Hopkins University.
See LICENSE file for additional code licensing and re-use information.
The images, external resources, and cheatsheets linked in this repository may have other licenses and terms of use.
Please cite this material as:
Johns Hopkins University Data Services. October 12th 2022. Data Visualization in R with ggplot2. github.com/jhu-data-services/data-vis-in-r-with-ggplot2