Download the free Kindle app and start reading Kindle books instantly on your smartphone, tablet, or computer - no Kindle device required. Learn more
Read instantly on your browser with Kindle Cloud Reader.
Using your mobile phone camera - scan the code below and download the Kindle app.
Data Flow: Visualising Information in Graphic Design Hardcover – September 30, 2008
| N. Bourquin (Author) Find all the books, read about the author, and more. See search results for this author |
graphics are utilised wherever increasingly complex elements are present,
whether it is in magazines, non-fiction books or business reports, packages or
exhibition designs.
Data Flow presents an abundant range of possibilities in visualising data and
information. Today, diagrams are being applied beyond their classical fields
of use. In addition to archetypical diagrams such as pie charts and histograms,
there are manifold types of diagrams developed for use in distinct cases and
categories. These range from chart-like diagrams such as bar, plot, line diagrams
and spider charts, graph-based diagrams including line, matrix, process flow,
and molecular diagrams to extremely complex three-dimensional diagrams.
The more concrete the variables, the more aesthetically elaborate the graphics
sometimes reaching the point of art the more abstract, the simpler the readability.
The abundant examples in Data Flow showcase the various methodologies
behind information design with solutions concerning complexity, simplification,
readability and the (over)production of information. In addition to the examples
shown, the book features explanatory text.
On 256 pages, Data Flow introduces a comprehensive selection of innovatively
designed diagrams. This up-to-date survey provides inspiration and concrete
solutions for designers, and at the same time unlocks a new field of visual codes.
- Print length255 pages
- LanguageEnglish
- PublisherGestalten
- Publication dateSeptember 30, 2008
- Dimensions8.11 x 1.5 x 10.63 inches
- ISBN-109783899552171
- ISBN-13978-3899552171
![]() |
Customers who viewed this item also viewed
Customers who bought this item also bought
Product details
- ASIN : 3899552172
- Publisher : Gestalten; 1st Edition (September 30, 2008)
- Language : English
- Hardcover : 255 pages
- ISBN-10 : 9783899552171
- ISBN-13 : 978-3899552171
- Item Weight : 4.14 pounds
- Dimensions : 8.11 x 1.5 x 10.63 inches
- Best Sellers Rank: #531,321 in Books (See Top 100 in Books)
- #1,598 in Graphic Design Techniques
- #3,246 in Design & Decorative Arts
- #57,937 in Reference (Books)
- Customer Reviews:
About the authors

Discover more of the author’s books, see similar authors, read author blogs and more

Discover more of the author’s books, see similar authors, read author blogs and more

Discover more of the author’s books, see similar authors, read author blogs and more
Customer reviews
Customer Reviews, including Product Star Ratings help customers to learn more about the product and decide whether it is the right product for them.
To calculate the overall star rating and percentage breakdown by star, we don’t use a simple average. Instead, our system considers things like how recent a review is and if the reviewer bought the item on Amazon. It also analyzed reviews to verify trustworthiness.
Learn more how customers reviews work on AmazonTop reviews from the United States
There was a problem filtering reviews right now. Please try again later.
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.
If you are interested in information design, communication design, or graphic design, this book is a must!
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.
[1] Large images that, if good, will excite you
[2] A continuing deconstruction of 7 or 8 new methods of displaying data
So, if a friend already owns a copy of DF1 or DF2, set aside 2 hours and just get all the portfolio links from the index pages.
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.








