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Visualizing Data Exploring and Explaining Data with the Processing Environment [Paperback]

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  • Category: Books (Computers)
  • Author:  Fry, Ben
  • Author:  Fry, Ben
  • ISBN-10:  0596514557
  • ISBN-10:  0596514557
  • ISBN-13:  9780596514556
  • ISBN-13:  9780596514556
  • Publisher:  O'Reilly Media
  • Publisher:  O'Reilly Media
  • Pages:  384
  • Pages:  384
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-May-2008
  • Pub Date:  01-May-2008
  • SKU:  0596514557-11-MPOD
  • SKU:  0596514557-11-MPOD
  • Item ID: 100306221
  • List Price: $39.99
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Feb 26 to Feb 28
  • Notes: Brand New Book. Order Now.

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 Datademonstrates 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? WithVisualizing 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 andVisualizing Dataas 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 displ“!