Data Visualisation: A Handbook for Data Driven Design First Edition
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Data visualization is much more than just data and visuals. Andy understands that successful visualizations emerge from successful processes and myriad well-informed decisions. Getting all the parts right in this interdisciplinary field is a huge challenge; every student and practitioner of data visualisation will benefit from absorbing the vast wisdom captured in this book. -- Scott Murray Published On: 2016-04-20
Andy Kirk has managed to squeeze a lifetime of expertise on visualising data and telling stories using interactives into one easy-to-follow and beautifully illustrated book. For students and designers interested in creating interactive and stunningly crafted data visualisations this is a must read.-- Tom Felle Published On: 2016-05-13
With presentation and interpretation of data central to so much today, this guide is essential reading for almost everyone! -- Richard Smedley
The book is comprehensive and practical, taking the reader one step at a time through the process of visualising data, from how to manage the initial thinking process to how and why to choose particular colours and compose the design. -- Helen Kara
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.
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Andy fills a distinct and important niche in the sometimes overwhelming, multi-disciplinary realm of data visualization. He has built a portable, scalable mental framework to help both aspiring and practicing data visualizers navigate the dozens of decisions they will encounter in their work. One of Andy's strengths is his ability to walk the line between theory and practice. In the book, he calls dataviz a "game of decisions" and then, in his reassuring-but-methodical style, he prepares you to make sound choices when facing those tough, real-world decisions — whether they're related to data, story, or design. For me, the emphasis on process (chapters 2 through 5) is the most valuable part of this comprehensive and eminently useful book; the fundamental practices ("hidden thinking") that shape and steer great visualization work, much more than the latest whiz-bang technology.
I would recommend this book to those who are new to data visualization as a solid primer and template for developing their work process, but also to working visualizers who want to get back to basics in order to strengthen their process, decision-making, and problem solving.
This resource is good for beginners and professionals. It does not contain code or technical how-tos (nor does it promise this), but it DOES promise to teach a method of design that is data-driven - and it delivers on this promise. When resources set themselves up with clear expectations and deliver, those resources get 5 star reviews from me.
Part B I have found ESPECIALLY valuable in my time owning this as it goes over *ways to think* that can improve your visualization design process. Learning how to think about visualization design is quite hard, and is why I believe this book succeeds to meet the expectations it sets out.
My second favorite part of this book is the short reference center in the middle (grey pages): This has a wide selection of helpful charts for different purposes, according to the shape and form of the data you are working with. I even encountered a couple charts I had never seen before!
Other than that, the content of the book is good. I would just recommend getting the paperback format.
Top international reviews
I have not found any other source that covers the material, which is well laid out and practical
Spiega i ragionamenti da fare per arrivare alla visualizzazione del dato, la scelta dei colori, etc...
Utile e fatta bene la parte centrale, con una raccolta di tutte le visualizzazioni più note.
Großartiges Buch über Data Visualisation. Auch, wenn ich das Buch noch immer nicht komplett durchgearbeitet habe, wird hier ein detailliertes Lehrbuch geboten, welches praxisnah und gut erklärt Tipps zur visualisierung gibt. Schon seit dem ersten Tag auf meinem Schreibtisch ist es mir eine große Hilfe und verblüfft mich immer wieder aufs neue damit, Zusammenhänge von Daten, Formen oder Farben zu erläutern.
En definitiva, merece la pena.
The potential to go from square one to thought leader is clear if the principles within are applied, by virtue of what this book enables: Embedding a practical workflow that boils data down to nuggets of new knowledge.
Andy Kirk achieves this by emphasising three guiding principles of good visualisation design: it must be trustworthy, it must be accessible and it must be elegant. The message is brought home with vivid examples and sections that cover not only the practical aspects, but *how to think* in an editorial way, how to develop your design solution and how to develop your capabilities.
Kirk is not the first to describe some of these processes, you are likely to identify parallels in Knaflic's Storytelling with Data: A Data Visualization Guide for Business Professionals, Cairo's The Truthful Art: Data, Charts, and Maps for Communication and even Camoes' Data at Work: Best Practices for Creating Effective Charts and Information Graphics in Microsoft Excel (Voices That Matter), all excellent works. But Kirk's balanced blend of academic, professional and training background comes through clearly in the writing and takes this to another level.
The coverage is vast. Don't buy this if you want a bite-sized overview of the craft, there are more concise books and online resources out there for that purpose. In my opinion, buy this is you're serious about professional data visualisation at the leading edge of the practice.
Great to see plenty of related online resources, stacks of actual contemporary examples within, and every other page quoting the wider community of data visualisation professionals.