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Data Flow 2: Visualizing Information in Graphic Design (Anglais) Relié – Illustré, 9 mars 2010

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Présentation de l'éditeur

International interest in the sophisticated and aesthetic visualization of complex information made Data Flow a bestseller. Today, more and more graphic designers, advertising agencies, motion designers, and artists work in this area. New techniques and forms of expression are being developed. Consequently, the demand for information on this topic has grown enormously. Data Flow 2 expands the definition of contemporary information graphics. The book features new possibilities for diagrams, maps, and charts. It investigates the visual and intuitive presentation of processes, data, and information. Concrete examples of research and art projects as well as commercial work illuminate how techniques such as simplification, abstraction, metaphor, and dramatization function. The book also includes interviews with experts such as The New York Times s Steve Duenes, Infosthetics's Andrew Vande Moere, Visualcomplexity's Manuel Lima, ART+COM s Joachim Sauter, and passionate cartographer Menno-Jan Kraak as well as text features by Johannes Schardt about the challenges in creating effective information graphics and about the relationship between complexity, clarity, content, and innovation. Offering practical advice, background information, case studies, and inspiration, Data Flow 2 is a valuable reference for anyone working with or interested in information graphics.

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Format: Relié
Un livre indispensable pour ceux qui veulent créer des diagrammes de qualité. Les exemples choisis sont remarquables. Le dataflow 1 est superbe aussi.
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Commentaires client les plus utiles sur Amazon.com (beta)

Amazon.com: HASH(0x975ceb88) étoiles sur 5 24 commentaires
54 internautes sur 58 ont trouvé ce commentaire utile 
HASH(0x97b9ee40) étoiles sur 5 Let data scream... but where's the data? 2 décembre 2008
Par Juhan Sonin - Publié sur Amazon.com
Format: Relié Achat vérifié
We're inundated with small data, big data, complex data... lotsa data. And the data is THE story; it should be front and center. Data Flow depicts hundreds of stunning data viz examples. The book is aesthetically beautiful. However, several of the diagrams suffer from low data-to-ink ratios (lots of paint, little useful data)... and many are illegible and printed too small to see or require specific domain knowledge to decrypt.

Where's the data? The book proselytizes the importance of data and there ain't much raw data to be seen (or linked to).

The book designers have forgotten to treat typography as the visual hierarchy for words, the interface design for text. The type treatments and layouts are difficult to read.

Designers, engineers, statisticians, and decision-makers need data viz guidance. This book is not an academic dive into data visualization and needs to follow several of it's own rules for displaying information. But this book provokes your imagination.
34 internautes sur 35 ont trouvé ce commentaire utile 
HASH(0x97763024) étoiles sur 5 Great Content, Compromised Design 16 février 2009
Par Russ Brami - Publié sur Amazon.com
Format: Relié
This book had such promise and I think that there must be a story in why it is so compromised. The text and choice of images are excellent. The design of the book and execution are a failure. It's as if the author lost control of the book and the manuscript was taken through a process that degraded the very purpose of the book. It is still worth reading but there is a baffling irony in the fact that a book about information design has such mediocre information design.
26 internautes sur 27 ont trouvé ce commentaire utile 
HASH(0x975ceb28) étoiles sur 5 Beautiful book but little Data 12 février 2009
Par Amazon Customer - Publié sur Amazon.com
Format: Relié Achat vérifié
This is a wonderful book that shows numerous examples of Information Aesthetics. My problem with the book is I was hoping for something that showed good examples of how to visualize data and make it aesthetically pleasing. Unfortunately for me the book mostly focused on Aesthetics and some of the examples where actually very poor at communicating the content of the data which would have been great if they were listed as anti patterns.
Regardless of my criticism I am happy I purchased the book and have found some interesting and useful examples. If Amazon allowed half ratings I would have rated it 3.5.
14 internautes sur 16 ont trouvé ce commentaire utile 
HASH(0x975cd990) étoiles sur 5 Data Flow 2 is more about the 'business of art' than the 'art of business'. 8 septembre 2010
Par Richard Okeby - Publié sur Amazon.com
Format: Relié
"Data Flow 2: Visualizing Information in Graphic Design" describes itself as an expansion of the first book, aimed at being the definition of contemporary information graphics, with new techniques and forms of expression. Instead the book is a gallery of information as art, which in turn deconstructs the data flows and sources, and displays in such a way as to render information as a design element rather than a useful product that can be used and reused.

If you have seen the first book then you know what to expect. The graphic design stretches from the ordinary to the exotic and intricate, ranging from small `ikea type' bookcase colour schemes of paper stacks to thought provoking art installations such as the giant 3D carbon dioxide emissions sphere that dissolves into smaller spheres as you interact. The symmetry of a biologist drawing of a newly discovered plant species. Hand carved bell curved bells cluster on a wooden chopping board. White origami sine waves ripple out from a white square box. Spirograph lampshades resemble the intricate lattice work of nature.

The flaw in this approach is it does not communicate information in a way that's easily understood. A quality of `information' is it's usefulness and usability. Patterns on wallpaper and tree truck dissections all reveal the unique shape of data flows, but fail to provide metrics, a requirement for analysis and conversion to true `information'. Instead we get the raw data as a colour coded fractal, a construct from which you can search for meaning in but not a tool to leverage from.

The language of visual communication and information has its foundations in the automatic reactions we have embedded into our subconscious minds; what we have inherited and learnt. It makes sense to leverage off these cultural triggers.

The final chapter has a piece that devolves into `nonsensical infographics'. These 3D Mondrian style transparent blocks of colour `expose what information graphics looks like without any true data or statistics', this claim would be valid for the majority of the book, which is riddled with abstractions. This chapter contains the cover piece, part of a stunning set of pieces that photoshop mountain ranges into NYSE stock indices. Fantastical landscapes but ultimately not real.

For anyone looking for a book that opens the door into a world of data as art then you have found it. For those looking for how to distill information from data sets in useful ways there are some nuggets. The 3d bar chart with X axis time, Y axis Volume and Z width axis as market share highlights competition in a new useful way. The use of font, typography and simplicity is refreshing. And, if you search, you will find the idea's behind the art lead to new doors, whether usable intelligence lies behind them remains to be seen.
13 internautes sur 15 ont trouvé ce commentaire utile 
HASH(0x974219c0) étoiles sur 5 Review by a student who bought this book for information graphics 9 mai 2009
Par Adrian Gauci - Publié sur Amazon.com
Format: Relié Achat vérifié
This book is more of a collection of examples rather than a "how to". Although the book can be very inspiring, both from the approach of the design and even on the ideas, very little information is given on each chart, thus this is more of a picture collection.

Data Flow examples feature a very high quality degree of print.

It is very recommended for who is inspired from Information Graphics as charts rather than as manuals and instructions.
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