Better data visualizations a guide for scholars, researchers, and wonks
Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present their...
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| Resource Type: | Book |
| Language: | English |
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New York
Columbia University Press
[2021]
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Table of Contents:
- Introduction: How I learned to visualize my data
- Visual processing and perceptual rankings
- Five guidelines for better data visualization
- Form and function
- Comparing categories
- Time
- Distribution
- Geospatial
- Relationship
- Part-to-whole
- Qualitative
- Tables
- Developing a data visualization style guide
- Redesigns.