ISBN-10:
1473912148
ISBN-13:
9781473912144
Pub. Date:
08/08/2016
Publisher:
SAGE Publications
Data Visualisation: A Handbook for Data Driven Design / Edition 1

Data Visualisation: A Handbook for Data Driven Design / Edition 1

by Andy Kirk

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Overview

Data Visualisation: A Handbook for Data Driven Design / Edition 1

Never has it been more essential to work in the world of data. Scholars and students need to be able to analyze, design and curate information into useful tools of communication, insight and understanding. This book is the starting point in learning the process and skills of data visualization, teaching the concepts and skills of how to present data and inspiring effective visual design.

Benefits of this book:


  • A flexible step-by-step journey that equips you to achieve great data visualization
  • A curated collection of classic and contemporary examples, giving illustrations of good and bad practice
  • Examples on every page to give creative inspiration
  • Illustrations of good and bad practice show you how to critically evaluate and improve your own work
  • Advice and experience from the best designers in the field
  • Loads of online practical help, checklists, case studies and exercises make this the most comprehensive text available

Product Details

ISBN-13: 9781473912144
Publisher: SAGE Publications
Publication date: 08/08/2016
Edition description: New Edition
Pages: 368
Sales rank: 405,118
Product dimensions: 7.40(w) x 9.50(h) x 0.80(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 www.visualisingdata.com 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

Defining Data Visualisation
Data Visualisation Workflow
Formulating your Brief
Working with Data
Establishing your Editorial Perspective
Data Representation
Interactivity
Annotation
Colour
Composition
Visualisation Literacy

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