Ebook Data Visualisation: A Handbook for Data Driven Design
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Data Visualisation: A Handbook for Data Driven Design
Ebook Data Visualisation: A Handbook for Data Driven Design
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Review
In a clear and effective manner, Andy Kirk provides a comprehensive introduction to the fundamentals of data and design that is well integrated into a practical visualization workflow. Data Visualization will do much to improve literacy in both areas―a must-read, especially if you are starting in the field. Author: Isabel Meirelles Published On: 2016-04-20Data 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. Author: Scott Murray Published On: 2016-04-20Andy 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. Author: Tom Felle Published On: 2016-05-13With presentation and interpretation of data central to so much today, this guide is essential reading for almost everyone! Author: Richard SmedleyThe 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. Author: Helen Kara
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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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Product details
Paperback: 368 pages
Publisher: SAGE Publications Ltd; 1 edition (August 15, 2016)
Language: English
ISBN-10: 9781473912144
ISBN-13: 978-1473912144
ASIN: 1473912148
Product Dimensions:
7.4 x 0.9 x 9.7 inches
Shipping Weight: 1.7 pounds (View shipping rates and policies)
Average Customer Review:
4.3 out of 5 stars
14 customer reviews
Amazon Best Sellers Rank:
#83,198 in Books (See Top 100 in Books)
I should begin this review with an admission of some bias. As a student in the MICA Information Visualization MPS program I was fortunate to have the author (Andy) as an instructor, and I was a fan of his website visualisingdata.com for some time prior. My fellow students and I — a mixed bag of designers, data wranglers, and the data curious — loved his course, soaking-up the practical wisdom and using it to reorient our approach to our work. I hoped this book would capture the substance of those lessons, and I wasn't disappointed.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.
My Cred: I'm employed as a professional specifically for data visualization and I have read many books on the topic, from design to science, to practical stuff, to writing code, and then just theory.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!
Very clear and informative. This is a very good material for an undergraduate/graduate course. Straight to the point with focus on details. The only bad thing is that the kindle edition is not perfect (some images are bigger than the margins) but the printed version is flawless.
I got the online version, and it was extremely difficult to read. For a book that focuses on accessible visualizations, it struck me as odd that none of the visualizations in the book were interactive, or for that matter, legible.Other than that, the content of the book is good. I would just recommend getting the paperback format.
Among all the books I have read regarding Infographics and data presentation/design, this one provides the best mix of details and general overview.; not too much, not too little. I highly recommend.
Excellent book and very easy to follow...
Great Read. Really bice visuals. Delivers what it says it would.
It’s very good reference for study Data Visualization
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