false 2112788 1 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, <em>Visualizing Data</em> demonstrates methods for representing data accurately on the Web and elsewhere, complete with user interaction, animation, and more.<br /> <br /> 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 <em>Visualizing Data</em>, 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".<br /> <br /> 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 <em>Visualizing Data</em> 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: <ul> <li>The seven stages of visualizing data -- acquire, parse, filter, mine, represent, refine, and interact</li> <li>How all data problems begin with a question and end with a narrative construct that provides a clear answer without extraneous details</li> <li>Several example projects with the code to make them work</li> <li>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</li> </ul> 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. <em>Visualizing Data</em> teaches you how to answer questions, not simply display information. 2118198 11 1 2007 Visualizing Data total:37|5:5|4:14|3:15|2:3|1:0| 37 132 136 11 3 1 false false Fri Feb 01 00:00:00 -0800 2008 Mon Mar 03 13:44:38 -0800 2008 Mon Mar 03 13:47:41 -0800 2008 Visualizing Data with Processing would be a better title as this book is not really about visualizing data. Not exhaustive in its exploration of Processing, either. Still, a good tutorial on using Processing to crunch data and make an attractive, interactive display.]]> 4 0 false false Wed Aug 05 00:00:00 -0700 2009 Sun Jun 21 21:58:11 -0700 2009 Thu Aug 06 07:05:32 -0700 2009 more...]]> 5 0 false false Fri Feb 22 00:00:00 -0800 2008 Sat May 31 18:14:46 -0700 2008 Sat May 31 18:17:00 -0700 2008
The process of understanding data begins with a set of numbers and a question. The following steps form a path to the answer:

Acquire: Obtain the data, whether from a file on a disk or a source over a network.

Parse: Provide some stru...more...]]> 3 0 false false Sun Mar 23 00:00:00 -0700 2008 Wed Feb 20 16:25:03 -0800 2008 Sun Mar 23 12:51:50 -0700 2008 Processing Environment, a Java-based IDE used as a sort of visual sketchpad to plot out visualizations without heaps of Java code. The author, Ben Fry, is well schooled - PhD from the Aesthetics + Computation Group at the MIT Media Laboratory...more...]]> 2 0 false false Mon Feb 02 00:08:48 -0800 2009 Mon Feb 23 04:34:39 -0800 2009 4 0 false false Sat Feb 28 00:00:00 -0800 2009 Sat Feb 28 11:16:05 -0800 2009 Sat Feb 28 11:16:18 -0800 2009 3 0 false false Sat Nov 21 00:00:00 -0800 2009 Thu Feb 26 15:28:53 -0800 2009 Sat Nov 21 17:49:45 -0800 2009 more...]]> 4 0 false false Tue Jul 29 17:39:25 -0700 2008 Tue Jul 29 17:40:52 -0700 2008 more...]]> 3 0 false false Tue May 13 11:13:19 -0700 2008 Tue May 13 11:17:06 -0700 2008 more...]]> 4 0 false false Tue Sep 30 00:06:47 -0700 2008 Tue Sep 30 00:07:18 -0700 2008 0 0 false false Fri Aug 28 07:39:19 -0700 2009 Fri Aug 28 07:39:53 -0700 2009 2 0 false false Sun Nov 22 11:40:37 -0800 2009 Sun Nov 22 11:40:37 -0800 2009 0 0 false false Sun Nov 15 06:00:07 -0800 2009 Sun Nov 15 06:00:07 -0800 2009 0 0 false false Fri Nov 13 05:56:40 -0800 2009 Fri Nov 13 05:56:40 -0800 2009 0 0 false false Sun Nov 01 08:27:49 -0800 2009 Sun Nov 01 08:27:49 -0800 2009 0 0 false false Wed Oct 28 06:23:10 -0700 2009 Wed Oct 28 06:23:19 -0700 2009 0 0 false false Sun Oct 25 00:05:56 -0700 2009 Sun Oct 25 00:05:56 -0700 2009 0 0 false false Thu Oct 22 22:49:23 -0700 2009 Sat Oct 24 21:42:24 -0700 2009 0 0 false false Thu Oct 22 20:05:44 -0700 2009 Thu Oct 22 20:05:44 -0700 2009 0 0 false false Tue Oct 20 20:22:55 -0700 2009 Tue Oct 20 20:22:55 -0700 2009 http://www.goodreads.com/book_link/follow/8?book_id=2112788