SDS 375

Data Visualization in R

This is the home page for SDS 375, Data Visualization in R. All course materials will be posted on this site.

Instructor: Claus O. Wilke
Meeting times: TTH 3:30pm to 5:00pm
Venue: UTC 4.110
Syllabus: click here
Upcoming lectures and assignments: click here

Computing requirements

For students enrolled in this course, you only need a working web browser to access the edupod server, located at:

If you are using the edupod server, stop reading here. Everything is pre-installed and no further action is needed.

To run any of the materials locally on your own machine, you will need the following:

You can install all required R packages at once by running the following code in the R command line:

# first run this command:
    "broom", "cluster", "colorspace", "cowplot", "distill", "gapminder", 
    "GGally", "gganimate", "ggiraph", "ggdendro", "ggdist", "ggforce",
    "ggplot2movies", "ggrepel", "ggridges", "ggthemes", "gifski", "glue",
    "knitr", "learnr", "naniar", "margins", "MASS", "Matrix",
    "nycflights13", "palmerpenguins", "patchwork", "rmarkdown", "rnaturalearth",
    "scales", "sf", "shinyjs", "sp", "tidyverse", "transformr", "umap",

# then run this command:
  "rnaturalearthhires", repos = "", type = "source"


Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Any computer code (R, HTML, CSS, etc.) in slides and worksheets, including in slide and worksheet sources, is also licensed under MIT. Note that figures in slides may be pulled in from external sources and may be licensed under different terms. For such images, image credits are available in the slide notes, accessible via pressing the letter ā€˜pā€™.


If you see mistakes or want to suggest changes, please create an issue on the source repository.