Data Visualisation
A Handbook for Data Driven Design
- Andy Kirk - Freelance data visualisation specialist and trainer
This handbook offers everything students and scholars need to master the craft of developing insightful and delightful data visualisations. Across over 300 pages packed full of useful knowledge this book is an essential reference to help readers harness the wide range of contextual, analytical, editorial, and visual ingredients that shape this complex but invigorating subject.
With an emphasis on critical thinking over technical instruction, the importance of good decision-making is placed at the centre of a proven step-by-step process. Blending conceptual, theoretical, and practical thinking, this updated edition will inspire you to elevate your ambition and inform you how to get there.
With this book and an extensive companion collection of digital resources, readers will:
· See more than 200 examples showcasing visualisation works from a diverse list of talented creators covering a spectrum of topics and techniques
· Develop a detailed understanding of 40 different chart types
· Discover the many little details that make a big difference, with four chapters dedicated to the presentation design of interactive features, annotated assistance, colouring and composition
· Learn practical tips about how to most robustly gather, examine, transform, then explore your data
· Follow online exercises to apply knowledge, build skills and develop confidence
· Get access to hundreds of curated reading references to help hone the craft.
Supplements
Hi there this is an extremely comprehwensive text very well laid out asnfd I can see it being of grweat benefit o my students, especially when they are working in their main roles. there are too few decent books on data visualisation, so we see the same mistakes being made time and timne again. oproperly formatted data helps with comprehension of complex issues, and properly visually formatted data can be the difference in an audience's understanding of complex points. As well as asdding this title to the recommended reasding, I will be urging any of my students working in data heavy roles to digest the key points of this text.
A very good account for students of the different ways that data can be visualised, which is something that they are not always aware of.
I had the older version as the essential reading book, and now I just updated to this one. I just love this book. It speaks to me, the examples are so good. The only thing I do not use are the working material as I prefer to set my own exams etc.
