Ben Fry: Visualizing Data (2008)

6 December 2009, dusan

How you can take advantage of data that you might otherwise never use? With the help of the free software programming environment called Processing, this book helps you represent data accurately on the Web and elsewhere, complete with user interaction, animation, and more. You’ll learn basic visualization principles, how to choose the right kind of display for your purposes, and how to provide interactive features to design entire interfaces around large, complex data sets.

Enormous quantities of data go unused or underused today, simply because people can’t visualize the quantities and relationships in it. Using a downloadable programming environment developed by the author, Visualizing Data demonstrates methods for representing data accurately on the Web and elsewhere, complete with user interaction, animation, and more.

How do the 3.1 billion A, C, G and T letters of the human genome compare to those of a chimp or a mouse? What do the paths that millions of visitors take through a web site look like? With Visualizing Data, you learn how to answer complex questions like these with thoroughly interactive displays. We’re not talking about cookie-cutter charts and graphs. This book teaches you how to design entire interfaces around large, complex data sets with the help of a powerful new design and prototyping tool called “Processing”.

Used by many researchers and companies to convey specific data in a clear and understandable manner, the Processing beta is available free. With this tool and Visualizing Data as a guide, you’ll learn basic visualization principles, how to choose the right kind of display for your purposes, and how to provide interactive features that will bring users to your site over and over. This book teaches you:

* The seven stages of visualizing data — acquire, parse, filter, mine, represent, refine, and interact
* How all data problems begin with a question and end with a narrative construct that provides a clear answer without extraneous details
* Several example projects with the code to make them work
* Positive and negative points of each representation discussed. The focus is on customization so that each one best suits what you want to convey about your data set

The book does not provide ready-made “visualizations” that can be plugged into any data set. Instead, with chapters divided by types of data rather than types of display, you’ll learn how each visualization conveys the unique properties of the data it represents — why the data was collected, what’s interesting about it, and what stories it can tell. Visualizing Data teaches you how to answer questions, not simply display information.

Publisher O’Reilly Media, Inc., 2008
ISBN 0596514557, 9780596514556
Length 366 pages

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Ira Greenberg: Processing: Creative Coding and Computational Art (2007)

2 December 2009, dusan

“This book is written especially for artists, designers, and other creative professionals and students exploring code art, graphics programming, and computational aesthetics. The book provides a solid and comprehensive foundation in programming, including object-oriented principles, and introduces you to the easy-to-grasp Processing language, so no previous coding experience is necessary. The book then goes through using Processing to code lines, curves, shapes, and motion, continuing to the point where you’ll have mastered Processing and can really start to unleash your creativity with realistic physics, interactivity, and 3D! In the final chapter, you’ll even learn how to extend your Processing skills by working directly with the powerful Java programming language, the language Processing itself is built with.”

Foreword by Keith Peters
Publisher Springer, 2007
ISBN 159059617X, 9781590596173
810 pages

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Casey Reas, Ben Fry: Processing: A Programming Handbook for Visual Designers and Artists (2007)

2 December 2009, dusan

It has been more than twenty years since desktop publishing reinvented design, and it’s clear that there is a growing need for designers and artists to learn programming skills to fill the widening gap between their ideas and the capability of their purchased software. This book is an introduction to the concepts of computer programming within the context of the visual arts. It offers a comprehensive reference and text for Processing (www.processing.org), an open-source programming language that can be used by students, artists, designers, architects, researchers, and anyone who wants to program images, animation, and interactivity.

The ideas in Processing have been tested in classrooms, workshops, and arts institutions, including UCLA, Carnegie Mellon, New York University, and Harvard University. Tutorial units make up the bulk of the book and introduce the syntax and concepts of software (including variables, functions, and object-oriented programming), cover such topics as photography and drawing in relation to software, and feature many short, prototypical example programs with related images and explanations. More advanced professional projects from such domains as animation, performance, and typography are discussed in interviews with their creators. “Extensions” present concise introductions to further areas of investigation, including computer vision, sound, and electronics. Appendixes, references to other material, and a glossary contain additional technical details. Processing can be used by reading each unit in order, or by following each category from the beginning of the book to the end. The Processing software and all of the code presented can be downloaded and run for future exploration.

Essays by: Alexander R. Galloway, Golan Levin, R. Luke DuBois, Simon Greenwold, Francis Li, Hernando Barragán

Interviews with: Jared Tarbell, Martin Wattenberg, James Paterson, Erik van Blockland, Ed Burton, Josh On, Jürg Lehni, Auriea Harvey and Michaël Samyn, Mathew Cullen and Grady Hall, Bob Sabiston, Jennifer Steinkamp, Ruth Jarman and Joseph Gerhardt, Sue Costabile, Chris Csikszentmihályi, Golan Levin and Zachary Lieberman, Mark Hansen

Foreword by John Maeda
Publisher MIT Press, 2007
ISBN 0262182629, 9780262182621
Length 710 pages

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google books

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All code examples in the book (ZIP)