Data Visualisation
eBook - ePub

Data Visualisation

A Handbook for Data Driven Design

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Data Visualisation

A Handbook for Data Driven Design

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.

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Yes, you can access Data Visualisation by Andy Kirk in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Acknowledgements
  7. About the Author
  8. Discover Your Textbook’s Online Resources
  9. Introduction
  10. Part A The Foundations
  11. 1 What is Data Visualisation?
  12. 2 The Process and Principles of Visualising Data
  13. Part B The Hidden Thinking
  14. 3 Formulating the Brief
  15. 4 Working with Data
  16. 5 Editorial Thinking
  17. Part C The Design Thinking
  18. 6 Data Representation
  19. 7 Interaction and Dynamic Design
  20. 8 Annotation
  21. 9 Colour
  22. 10 Composition
  23. References
  24. Index