Welcome

This is the course site for the Data Visualisation workshop created by Eugene Hickey for TU Dublin.

This five-hour hands-on workshop will be a gentle introduction to ggplot package as a tool to create impressive graphics and data visualisations.

The Morning will discuss the overall structure of ggplot and we’ll start doing some initial plots; barcharts, boxplots, histograms, point/line plots…..

The Afternoon will cover colours, themes, facets, and fonts.

This workshop is designed for people looking for new tools to present their data.

Prework

Essential

We’ll be using the software listed below.

Install R and RStudio Desktop on your computer.

You can find step-by-step instructions for installing these here: macOS, Windows.

Install the following packages:

# From CRAN
list_of_pkgs <- c("tidyverse")

# run the following line of code to install the packages you currently do not have
new_pkgs <- list_of_pkgs[!(list_of_pkgs %in% installed.packages()[,"Package"])]
if(length(new_pkgs)) install.packages(new_pkgs)

Acknowledgments

This workshop draws from various sources, most notably the books by Kieran Healy and Claus Wilkie. I’d also like to mention the webpage of The Top 50 ggplot2 Visualisations. This workshop ran smoothly with the help of Raffaella Salvante as co-pilot.

This website was made with the distill package and a custom theme designed by Silvia Canelón.

Corrections

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

Reuse

Text and figures are licensed under Creative Commons Attribution CC BY-SA 4.0. Source code is available at https://github.com/eugene100hickey, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".