Week 2

Design variables and the grammar of graphics

Prepare

Note📚 Prepare

📖 Review the course syllabus

Participate

Note👥 Participate

📊 Slideshows:

1. Grammar of Graphics and Visual Forms

Practice

Note💻 Practice

🧮 GoG with R’s ggplot2¹

🧮 GoG with Python’s Plotnine²

🧮 Faceting with ggplot2 and patchwork

Perform

Note📝 Perform

✏️ Hands-on practice implementing visualization designs using the grammar of graphics framework

Ponder

Essential Readings

Wilkinson, L. (2005). The Grammar of Graphics, Chapters 1-2

Wickham, H. (2010). “A Layered Grammar of Graphics”, Journal of Computational and Graphical Statistics

Additional Resources

Review examples of effective use of visual variables in data visualization

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Footnotes

1. ggplot2 is R’s powerful data visualization library based on the Grammar of Graphics, enabling users to build complex, layered plots declaratively through aesthetic mappings, geometric objects, and flexible customization options.

2. plotnine is Python’s implementation of R’s ggplot2, providing Grammar of Graphics-based visualization capabilities. It offers familiar syntax for R users, enabling declarative plot construction through layered components, aesthetics, and geometries for elegant data visualization.