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Visual Complexity: Mapping Patterns of Information, by Manuel Lima
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Review
"Artistic analysis... tremendous potential for shaping how we understand our world... if you are the type who obsesses on Google Analytics or just feel the need to nerd out for a bit, pick up a copy." --Cool Hunting"Manuel Lima, the New York-based founder of visualcomplexity.com, works at the forefront of network science and information visualization. Appropriately, his book Visual Complexity cuts through digital clutter, using colorful examples to illustrate these fields." --Surface magazine"Incredibly ambitious, deeply researched, and beautifully illustrated." --frieze"From genealogical patterns in medieval tapestries to the math behind fractals, Lima, a senior UX design lead for Bing, shows how designers turn complex patterns into compelling artwork." --Wired"Intellectually ambitious... the author engages this heady material with a surprisingly sharp and lucid eye." --Metropolis"Intellectually ambitious...the author engages this heady material with a surprisingly sharp and lucid eye." --Metropolis"Artistic analysis...tremendous potential for shaping how we understand our world...if you are the type who obsesses on Google Analytics or just feel the need to nerd out for a bit, pick up a copy." --Cool Hunting"A rigorously researched, beautifully designed, thoughtfully curated anthology of the world's most compelling work at the intersection of two relatively nascent yet increasingly powerful techno-cultural phenomena, network science and information visualization.... A powerful tool in your visual literacy arsenal for navigating the Information Age. From the Bible to Wikipedia edits to the human genome, the gorgeous and thought-provoking visualizations in the book will make you look at the world in a whole new way, and the insightful essays accompanying them will vastly expand your understanding of the trends and technologies shaping our ever-evolving relationship with information." -- Brain Pickings"Visual Complexity is a showcase for the intersection of art, design and science... Some of the examples are indeed silly. Some are profound. Many are decidedly beautiful. And all are fascinating, given the infinite kinds of data that can be visualized." --New York Times Book Review
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Product details
Paperback: 272 pages
Publisher: Princeton Architectural Press; Reprint edition (September 10, 2013)
Language: English
ISBN-10: 1616892196
ISBN-13: 978-1616892197
Product Dimensions:
8.6 x 0.8 x 10.5 inches
Shipping Weight: 2.4 pounds (View shipping rates and policies)
Average Customer Review:
4.6 out of 5 stars
12 customer reviews
Amazon Best Sellers Rank:
#192,046 in Books (See Top 100 in Books)
If you want to improve your ability to analyze and visualize data, this is an excellent book to read.If you're looking for click-by-click advice on how to make your next PowerPoint prettier, you might get frustrated by this book. But if you're interested in making your graphs more information-rich and analysis-friendly, you've come to the right place.If you're interested in this book, I also highly recommend Visual Display of Quantitative Information by Edward Tufte - http://www.amazon.com/gp/product/0961392142/ref=as_li_tl?ie=UTF8&camp=1789&creative=390957&creativeASIN=0961392142&linkCode=as2&tag=todmedblo-20&linkId=2XHU3RHNLTB7QJCSLima's book is in many ways a modern counterpart to Tufte's, discussing analysis and visualization in a world of networks and big data. While both are fantastic reads for the data nut, I still believe that Tufte's is more useful for someone looking to get a first crash course at understanding data.I hope you found this helpful!
The visual representations of complex data presented here are mostly incomprehensible to those without a good background in the data being graphed. Trends are indeed more visible, but visual confusion over what is really being represented overwhelms me. Many of the representations are beautiful regardless of what they are intended to demonstrate. Framed and on the wall many would be beautiful as object while meaningless as information. Graphing using 3D printers seems at the moment the only was to reduce the confusion. Comprehensive data isn't necessarily comprehensible data.
Lima's book is visionary and provocative. A palette of ideas and visualizations that hint at new ways of interpretion, data analysis, and a convergence of information technology and human insight. Advancing knowledge through massive computation of data sets promises to give mankind new insights, reveal hidden relationships, and inform policy and knowledge in new ways.
A huge hit as Xmas present- to someone who already has the Tufte books. Rather impressive just flipping through it!
One of the best in it's genre
Quick delivery and good quality of book
Great work and beautiful visuals.I've seen the content of that book exhibited at the Big Bang data exhibition in Singapore.Online projects are very interesting as well: [...]
This is a beautiful book, even for the non-expert. I've purchased it as a gift several times.
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