Book description
Data has become the most powerful tool in business today, and telling its story effectively is critical. Yet one of the best communicators—color—is the most neglected tool in data visualization. With this book, DATAcated founder Kate Strachnyi provides the ultimate guide to the correct use of color for representing data in graphs, charts, tables, and infographics.
Ideal for data and business analysts, data scientists, and others who design infographics and data visualizations, this practical resource explores color tips and tricks, including the theories behind them and why they work the way they do. ColorWise covers the psychology, history, and culture of many different colors. This book is also a useful teaching tool for learning about proper use of color for data storytelling techniques and dashboarding.
You'll explore:
- The role that color theory plays in data visualization and storytelling
- Various color techniques you can use to improve data visualizations
- How colors affect your audience's understanding of data visualizations
- How to use color intentionally to help guide your audience
- Tips for using colors that people with color vision deficiency can interpret
- How to apply the book's guidelines for use in your own projects
Publisher resources
Table of contents
- Preface
- 1. Color Theory and History
- 2. Data Visualization and Data Storytelling
- 3. Types of Colors Used in Data Visualization
- 4. How to Tell a Story with Color
-
5. Selecting a Color Scheme for Your Data Visualization
- Importance of Choosing Colors
- Know Your Audience
- Consider Industry Associations
- Brand Colors
- Suggested Color Schemes
- Selecting Key Colors in a Palette
- Using Colors Found in Nature
- Color Palettes for Comparing Two Things
- Color Palettes for Comparing Three Things
- Color Palettes for Comparing Four Things
- Summary
- 6. Data Visualization Color Tips
- 7. Accessibility and Addressing Color Blindness
- 8. Color and Cultural Design Considerations
-
9. Common Pitfalls of Color Use in Data Storytelling
- Encoding Too Much Information or Irrelevant Information
- Using Nonmonotonic Colors for Data Values
- Failure to Design for Color Vision Deficiency
- Not Creating Associations with Color
- Not Using Contrasting Colors to Contrast Information
- Not Making the Important Information Stand Out
- Using Too Many Colors
- Summary
- 10. Additional Examples
- Conclusion
- Index
- About the Author
Product information
- Title: ColorWise
- Author(s):
- Release date: November 2022
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781492097846
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