Books and other online resources

Books

Data visualization books

Clicking on the covers will send you to the free online versions of each book

The following books’ content are not available. The links are non-affiliate Amazon links to the books, or to the books’ web pages:

Toolkits

Non-online books. Some may be available at GU via Safari or other resources.

Writing and publishing

Of partcular interest to us will be chapters on HTML documents and HTML Presentations

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Web references

Data visualization

• Flowing Data: This is one of our favorite sites for learning data viz. There are several tutorials in R for different graphics, as well as other languages. Nathan Yau, who runs the website, also has 2 excellent books on data viz, as well as a few self-guided courses for data viz in R.
• Flowing Data tutorials, with many in R
• JunkCharts: Critiques of chartjunk + junk art
• I want hue: Colors for data scientists
• BusinessPundit’s Guide to Infographics
• plotly reference: The plotly reference, that provides examples and code for various plot types using R. There are also interfaces for Python. There is a special section looking at converting ggplot2 graphics to plotly graphics.

Publishing

• Quarto

R-related

• Cheatsheets from Posit.co (formerly RStudio)
• ggplot2 reference: The definitive guide to ggplot2. Check out the pages for the different functions for great examples
• R graph gallery: Example-filled site for different R-based graphs, especially in ggplot2. The ads can be a bit irritating, but the content is great.
• Themes to improve your ggplot figures
• R Graphics Cookbook by Winston Chang
• htmlwidgets for R: Reference and gallery for different Javascript interactive graphics libraries that have been ported to R, or have a R wrapper

Python-related

• Python graph gallery: Example-filled site for different Python-based graphs, especially in matplotlib and seaborn. The ads can be a bit irritating, but the content is great.
• Matplotlib cheatsheets and handouts

Javascript/Observable/Plotly

• Observable: A great site for learning about Javascript and D3. There are many examples of different types of graphics, and you can fork the code and modify it to see how it works. There are also many tutorials on how to use the site and how to create different types of graphics.
  • Learning Observable, a series of 10 notebooks to get you started
  • Observable and Javascript
  • Observable for Python Users
  • Plot for Matplotlib Users