Introduction
The power of data visualization
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What you should know
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1. Getting Started
Seeing is believing in data exploration
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Curious origins
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Why data visualization matters now more than ever
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2. Principles of Design
The anatomy of a chart
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Visual hierarchy
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Marks and channels
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Data-ink ratio
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Typography
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Using text strategically
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3. Cognitive Foundations and Perception
Human perception
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The bandwidth of senses
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Preattentive processing for pattern recognition
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Preattentive attributes
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Gestalt psychology
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Gestalt principles for data visualization
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Cognitive biases in data visualization
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4. Color Theory
Color theory basics
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Color palettes for data visualization
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How colors cross cultures
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The dos and don'ts of color
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5. Avoiding Common Design Mistakes and Pitfalls
Rule 1: Simple is best
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Rule 2: Give the full picture
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Rule 3: Be careful with absolutes
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Rule 4: Avoid extra dimensions
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Rule 5: Be wary of truncation and dual axes
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Rule 6: Choose your bins wisely
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Rule 7: Use area sparingly
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Rule 8: Keep your order
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Rule 9: Know the dangers behind line smoothing
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Rule 10: Don't hide trends in cumulative charts
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Bonus: Stick to category thresholds
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6. Designing for Different Audiences
Tailoring visuals to your audience
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POUR principles for accessibility
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Conclusion
Upgrade your data visualizations
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