6 - Graphics, Guest Lecture


  • Introduction to data visualization with R
  • Learn about base plots; grid and lattice; ggplot2
  • Explore and visualize data
  • Learn about dashboards with Shiny
  • Guest Lecture


  • Data Visualization with base R
    • base graphics
    • lattice graphics
  • Data Visualization with ggplot2
    • ggplot2 basics
    • extension
  • Shiny
    • General shiny overview
    • flexdashboard
    • dygraphs
  • Data Science Programming Methods Guest Lecture by Dr Grant McDermott

Core Material

Lecture Slides

Lecture Videos


Additional Resources

Guest Lecture Resources

Dr McDermott will demontrate the large data capabilities of polars / r-polars and duckdb using the well-known NYC Taxi data set. We recommends using either shell commands (using the AWS command-line tools)

mkdir -p nyc-taxi/year=2012
aws s3 cp s3://voltrondata-labs-datasets/nyc-taxi/year=2012 nyc-taxi/year=2012 \
    --recursive --no-sign-request

or from R (using an appropriate Arrow build)

  library(arrow) # install.packages('arrow', repos = c('https://apache.r-universe.dev')
data_path <- "nyc-taxi/year=2012" # Or set your own preferred path
open_dataset("s3://voltrondata-labs-datasets/nyc-taxi/year=2012") |>
    write_dataset(data_path, partitioning = "month")

The files are available on the shared morrow server below /opt/data/nyctaxi/year=2012 and take up 8.4gb compressed.