Citations and bibliography

You can open the file in BibDesk on macOS, JabRef on Windows, or Zotero or Mendeley online.

You can download a BibTeX file of all the non-web-based readings in the course.



Graphic assets


How to select the appropriate chart type

The Data Visualisation Catalogue The Data Visualisation Catalogue

Many people have created many useful tools for selecting the correct chart type for a given dataset or question. Here are some of the best:

Helpful data visualization resources

Visualization in Excel

Visualization in Tableau

Because it is focused entirely on visualization (and because it’s a well-supported commercial product), Tableau has a phenomenal library of tutorials and training videos. There’s a helpful collections of videos here, as well.

Working with R and ggplot2

R in the wild

A popular (and increasingly standard) way for sharing your analyses and visualizations is to post an annotated explanation of your process somewhere online. RStudio allows you to publish knitted HTML files directly to RPubs, but you can also post your output to a blog or other type of website. If you want to be really fancy, you can use blogdown, which makes a complete website with R Markdown files. That’s actually how this site is built (see the source code). You can build your own site with this tutorial.

Reading these kinds of posts is one of the best ways to learn R, since they walk you through each step of the process and show the code and output.

Here are some of the best examples I’ve come across: