
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
This handbook offers everything students and scholars need to master the craft of developing insightful and delightful data visualisations. Across over 300 pages packed full of useful knowledge this book is an essential reference to help readers harness the wide range of contextual, analytical, editorial, and visual ingredients that shape this complex but invigorating subject.
With an emphasis on critical thinking over technical instruction, the importance of good decision-making is placed at the centre of a proven step-by-step process. Blending conceptual, theoretical, and practical thinking, this updated edition will inspire you to elevate your ambition and inform you how to get there.
With this book and an extensive companion collection of digital resources, readers will:
· See more than 200 examples showcasing visualisation works from a diverse list of talented creators covering a spectrum of topics and techniques
· Develop a detailed understanding of 40 different chart types
· Discover the many little details that make a big difference, with four chapters dedicated to the presentation design of interactive features, annotated assistance, colouring and composition
· Learn practical tips about how to most robustly gather, examine, transform, then explore your data
· Follow online exercises to apply knowledge, build skills and develop confidence
· Get access to hundreds of curated reading references to help hone the craft.
Frequently asked questions
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Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Contents
- Acknowledgements
- About the Author
- Discover Your Textbook’s Online Resources
- Introduction
- Part A The Foundations
- 1 What is Data Visualisation?
- 2 The Process and Principles of Visualising Data
- Part B The Hidden Thinking
- 3 Formulating the Brief
- 4 Working with Data
- 5 Editorial Thinking
- Part C The Design Thinking
- 6 Data Representation
- 7 Interaction and Dynamic Design
- 8 Annotation
- 9 Colour
- 10 Composition
- References
- Index