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Data Visualisation


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Table of Contents

INTRODUCTION PART A FOUNDATIONS Chapter 1 Defining Data Visualisation Chapter 2 The Visualisation Design Process PART B THE HIDDEN THINKING Chapter 3 Formulating Your Brief Chapter 4 Working With Data Chapter 5 Establishing Your Editorial Thinking PART C DESIGN THINKING Chapter 6 Data Representation Chapter 7 Interactivity Chapter 8 Annotation Chapter 9 Colour Chapter 10 Composition EPILOGUE

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.


Many books focus on using software to visualise data but fewer consider good design. Data Visualisation addresses this in an inherently practical way. This is a much needed book which recognises and clarifies the process of designing excellent graphics.

-- Chris Playford

What do we actually mean when we talk about Data Visualisation? How do we 'do it'? How can we ensure our research using Data Visualisation is effective and ethical? The answers are all here in this inspirational and invaluable guide.

-- Therese A.G. Lewis

Everything I loved in the first edition of this valuable book has been incorporated into the second, including Kirk's typology of data visualisation and masses of visual examples, but with more precise written arguments. This volume continues to fill the gap between overwhelming data and the visualisations that can facilitate understanding.

-- Pamela Woolner

In this second edition, Andy adds relevant content to what was already a fantastic framework for learning the fundamentals of data visualization, all with acute and critical eyes. As an educator, I find it an invaluable resource to students and myself alike.

-- Isabel Meirelles

While most works in this space focus on data journalism, scientific visualisations or other specialist audiences, this book targets decision makers and helps with everything from initial concepts and data preparation to editorial layouts. A refreshing angle and a compelling read.

-- Elena Simperl

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