Data visualization: principles and practice

In-class slides

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In-class exercises (Thursday)

For relative newcomers to plotting with ggplot2

Work through the visualization exercises from Data Carpentry’s R for Ecology workshop.

Note that you will have to install a data package into R before proceeding with this set of exercises:

install.packages("ratdat")

After completing these exercises, you can move onto Chapters 9–11 of the R4Data Science book.

For those with more experience working with ggplot2

Select a chapter of your choice from one of the following resources:

• ggplot2: Elegant Graphics for Data Analysis: a Work-In-Progress book by some of the authors of the ggplot2 package.
• Fundaments of Data Visualization: a book by Clause Wilke that integrates conceptual and technical aspects of data visualization with ggplot2
• Data Visualization: A practical introduction by Kieran Healey. Similar to the previous book but a bit heavier on conceptual considerations.

Acknowledgements

This week’s slides uses the quarto-webr extension, developed by James Balamuta.