SDS 366

Data Visualization in R

This is the home page for SDS 366, Data Visualization in R. All course materials will be posted on this site.

Instructor: Claus O. Wilke
Meeting times: TTH 5:00pm to 6:30pm Venue: MEZ B0.306 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: https://edupod.cns.utexas.edu/

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:

A recent version of R, download from here.
A recent version of RStudio, download from here, OR a recent version of Positron, download from here.
The following R packages:
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, rnaturalearthhires, scales, sf, shinyjs, sp, tidyverse, transformr, umap, xaringan

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

# first run this command:
install.packages(
  c(
    "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",
    "xaringan"
  )
)

# then run this command:
install.packages(
  "rnaturalearthhires", repos = "https://packages.ropensci.org", type = "source"
)