Andy Kirk

Data Visualisation (eBook, ePUB)

A Handbook for Data Driven Design

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: SAGE Publications
• Seitenzahl: 328
• Erscheinungstermin: 8. Juli 2019
• Englisch
• ISBN-13: 9781526482884
• Artikelnr.: 56831767

Autorenporträt

Andy Kirk is a UK-based data visualisation expert who has been working as a freelance professional offering consultancy, design and education services since 2010 worldwide. Andy works as a data visualisation design consultant, educator, author, researcher and speaker. He is the editor of visualisingdata.com and hosts the 'Explore Explain' video and podcast series. After graduating from Lancaster University in 1999 with a BSc (hons) in Operational Research, Andy's working career commenced in a series of business analysis/information management roles with organisations including CIS Insurance, West Yorkshire Police and the University of Leeds.

Inhaltsangabe

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