viz-glamour-graphics-WillChase

The Glamour of Graphics

Lesson 1. What is information design and why does it matter?

Lesson 2. Course overview

The shape of data

Lesson 3. Chart types

Lesson 4. How to choose a chart

Lesson 5. Visual metaphor

• Visual metaphors for data communication: what’s in it for me?
• Episode 14: How to Use Visual Metaphor to Evoke Emotion - Featured Data Viz by Valentina D'Efilippo
• My Process for Creating Visual Metaphors

Lesson 6. Memorability vs. speed of comprehension

• What Makes a Visualization Memorable?
• Clarity vs Memorability: Which is More Important to Data Visualization Design?

Lesson 7. Identifying your audience

• Practice the audience exercise
• How to Identify Your Audience

Lesson 8. Data encoding process

• Plastic pollution dataset

Layout

Lesson 9. Grids, borders, lines

• Lines (ggplot2)

Lesson 10. Axes

• Axes (ggplot2)

Lesson 11. Grids, borders, lines, and axes examples and exercises

Lesson 12. Alignment

• The Ultimate Guide to Designing Data Tables

Lesson 13. White space

• Design Principles: Visual Perception And The Principles Of Gestalt
• How To Apply Gestalt Psychology Principles in Data Visualization

Lesson 14. Charts in larger layouts

• Making and Breaking the Grid: A Graphic Design Layout Workshop
• Space, grids, and layouts

Lesson 15. Alignment, white space, and layout of multiple plots examples and exercises

Typography

Lesson 16. What is typography and why does it matter?

• Why care about typography?
• BUTTERICK’S PRACTICAL TYPOGRAPHY

Lesson 17. Typographic hierarchy

• Type study: Typographic hierarchy

Lesson 18. Font styles

• Making sense of typographic classifications
• Emotive considerations for choosing typefaces

Lesson 19. Good fonts and where to find them

• Finding fonts that won’t break the budget
• Will's font faves

Lesson 20. Using custom fonts in R examples and exercises

• Modern Text Features in R

Lesson 21. ggtext examples and exercises

• ggtext: Improved text rendering support for ggplot2
• Learn to style HTML using CSS

Lesson 22. Pairing fonts

• Pairing typefaces
• Mixing fonts

Lesson 23. Typography beyond charts

• Understanding measure/line length
• Choosing a suitable line height
• Track carefully or not at all

Color

Lesson 24. Color palettes

• How to Choose Colors for Your Data Visualizations

Lesson 25. Color examples and exercises

• Claus Wilke slides on color palettes

Lesson 26. Color models

• Color model
• HCL wizard

Lesson 27. HCL color palettes in ggplot examples and exercises

• colorspace package
• paletteer package collection of color palettes in R

Lesson 28. The color wheel

• Color Theory 101: A Complete Guide to Color Wheels & Color Schemes

Lesson 29. Color and emotion

• Color Psychology: The Emotional Effects of Colors

Lesson 30. The eyedropper tool and color inspiration

• A detailed guide to colors in data vis style guides
• Instant eyedropper
• color-slurp - Mac only
• color-hex
• coolors

Special topics

Lesson 31. Legends

• Accessibility Quick Wins: Remove Legends and Directly Label
• 3 Ways to Enhance Your Legend

Lesson 32. Accessibility

• Writing Alt Text for Data Visualization
• 10 Guidelines for DataViz Accessibility
• An Incomplete Guide to Accessible Data Visualization
• Viz Palette
• ggpattern

Lesson 33. Combining ggplot with a vector editor

• Figma YouTube channel

Lesson 34. Annotations

• ggplot2 annotations

Lesson 35. Resizing plots for export

• Taking Control of Plot Scaling

Lesson 36. Finding inspiration

• Data Is Plural