Data Flow: Visualising Information in Graphic Design
R. Klanten; N. Bourquin; S. Ehmann; F. Van Heerden
Language: English
Published by Gestalten, 2008
- Hardcover
- Used

Seller: Goodbooks Company, Springdale, AR, U.S.A.Goodbooks Company
AbeBooks seller since April 20, 2023
Condition: Used - Fair
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This book is in acceptable condition and may have highlighting and or writing throughout. The actual cover image may not match the stock photo, dust jacket may be damaged or missing. Book may show internal and or external wear on spine or cover and may be slightly skewed or have creased pages. This is a used book so codes may be invalid or accompanying media may be missing. May be an Ex library book with stickers and stamps.
Seller Inventory # GBV.3899552172.A
- Title
- Data Flow: Visualising Information in Graphic Design
- Author
- R. Klanten; N. Bourquin; S. Ehmann; F. Van Heerden
- Publisher
- Gestalten
- Publication year
- 2008
- Condition
- acceptable
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3899552172
- ISBN 13
- 9783899552171
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.
"Synopsis" may belong to another edition of this title.
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