Data Visualization in R

Suggested Prerequisites:

Basic familiarity with R 

Overview:

This course introduces the ggplot2 package in R, including the following topics:

  • Plot structure
  • Plot types: histogram, scatterplot, boxplot, bar plot, line plot
  • Adding dimensions
  • Adding statistical models and transformations
  • Themes
  • Colors
  • Annotations
  • Modifying axes
  • Faceting (tiny multiples)

Instructions for installing R and RStudio

Contact information:

Please email mrsmith@rice.edu if you have questions about the Data@Rice workshop series.

For more information about other data courses at Rice, visit https://library.rice.edu/services/data-workshops or contact researchdata@rice.edu

Date/Time
-
Location
Online via Zoom. The link will be emailed to registrants the week of the workshop.
Registration Form
Academic Affiliation
Academic Role
For example, Fondren Calendar of Events, Email blast, Events@Rice, Fondren digital signage, word of mouth