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Data Visualisation: A Handbook for Data Driven Design

Data Visualisation: A Handbook for Data Driven Design

by Andy Kirk

Paperback(Second Edition (Revised Edition))

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Available for Pre-Order. This item will be available on September 9, 2019


One of the "six best books for data geeks" - Financial Times

With over 200 images and extensive how-to and how-not-to examples, this new edition has everything students and scholars need to understand and create effective data visualisations.

Combining ‘how to think’ instruction with a ‘how to produce’ mentality, this book takes readers step-by-step through analysing, designing, and curating information into useful, impactful tools of communication.

With this book and its extensive collection of online support, readers can:

- Decide what visualisations work best for their data and their audience using the chart gallery

- See data visualisation in action and learn the tools to try it themselves

- Follow online checklists, tutorials, and exercises to build skills and confidence

- Get advice from the UK’s leading data visualisation trainer on everything from getting started to honing the craft.

Explore more resources about data visualisation and Andy Kirk.

Product Details

ISBN-13: 9781526468925
Publisher: SAGE Publications
Publication date: 09/09/2019
Edition description: Second Edition (Revised Edition)
Pages: 320
Product dimensions: 7.44(w) x 9.68(h) x (d)

About the Author

Andy Kirk is a UK-based data visualisation specialist. He has been a freelance professional since founding Visualising Data Ltd in 2011 and has been the editor of award-winning website since 2010. Andy provides design consultancy and delivers training workshops to organisations across all industries all around the world. He is a visiting lecturer on Masters degree programmes at the Maryland Institute College of Art (MICA, USA) and Imperial College, London.

Table of Contents

Chapter 1 Defining Data Visualisation
Chapter 2 The Visualisation Design Process
Chapter 3 Formulating Your Brief
Chapter 4 Working With Data
Chapter 5 Establishing Your Editorial Thinking
Chapter 6 Data Representation
Chapter 7 Interactivity
Chapter 8 Annotation
Chapter 9 Colour
Chapter 10 Composition