Data Visualisation: A Handbook for Data Driven Design
 
Product details:

ISBN13:9781526468925
ISBN10:1526468921
Binding:Paperback
No. of pages:328 pages
Size:245x189 mm
Language:English
550
Category:

Data Visualisation

A Handbook for Data Driven Design
 
Edition number: Second Edition (Revised Edition), Revised
Publisher: SAGE Publications Ltd
Date of Publication:
 
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GBP 47.99
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Short description:

With over 200 images and extensive how-to and how-not-to examples, the new edition of the book The Financial Times voted one of the ‘six best books for data geeks’ has everything students and scholars need to understand and create effective data visualisations.

Long description:

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.



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.

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