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The shape of data
- Chart types
- How to choose a chart
- Visual metaphor
- Memorability vs. speed of comprehension
- Identifying your audience
- Data encoding process
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Layout
- Grids, borders, lines
- Axes
- Grids, borders, lines, and axes examples and exercises
- Alignment
- White space
- Charts in larger layouts
- Alignment, white space, and layout of multiple plots examples and exercises
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Typography
- What is typography and why does it matter?
- Typographic hierarchy
- Font styles
- Good fonts and where to find them
- Using custom fonts in R examples and exercises
- ggtext examples and exercises
- Pairing fonts
- Typography beyond charts
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Color
- Color palettes
- Color examples and exercises
- Color models
- HCL color palettes in ggplot examples and exercises
- The color wheel
- Color and emotion
- The eyedropper tool and color inspiration
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Special topics
- Legends
- Accessibility
- Combining ggplot with a vector editor
- Annotations
- Resizing plots for export
- Finding inspiration
The Glamour of Graphics
Memorability vs. speed of comprehension
This lesson is locked
This lesson is called Memorability vs. speed of comprehension, part of the The Glamour of Graphics course. This lesson is called Memorability vs. speed of comprehension, part of the The Glamour of Graphics course.
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Transcript
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Slides
Learn More
If you want to dig further into this topic, the paper What Makes a Visualization Memorable? is a great place to start.
This is also a good blog post discussing memorability vs. clarity in data visualization.
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