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...
| Autor principal: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
New York :
Columbia University Press
[2021]
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| Colección: | EBSCO Academic eBook Collection Complete.
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| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b46272343*spi |
Tabla de Contenidos:
- Introduction
- Part One: Principles of data visualization. 1. Visual processing and perceptual rankings
- 2. Five guidelines for better data visualizations
- 3. Form and function : let your audience's needs drive your data visualization choices
- Part Two: Chart types. 4. Comparing categories
- 5. Time
- 6. Distribution
- 7. Geospatial
- 8. Relationship
- 9. Part-to-whole
- 10. Qualitative
- 11. Tables
- Part Three: Designing and redesigning your visual. 12. Developing a data visualization style guide
- 13. Redesigns
- Conclusion
- Appendix 1: Data visualization tools
- Appendix 2: Further reading and resources.
