false 6492189 1 In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video.<br /> <br /> With <em>Beautiful Data</em>, you will: <ul> <li>Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web</li> <li>Learn how to visualize trends in urban crime, using maps and data mashups</li> <li>Discover the challenges of designing a data processing system that works within the constraints of space travel</li> <li>Learn how crowdsourcing and transparency have combined to advance the state of drug research</li> <li>Understand how new data can automatically trigger alerts when it matches or overlaps pre-existing data</li> <li>Learn about the massive infrastructure required to create, capture, and process DNA data</li> </ul><p> That's only small sample of what you'll find in <em>Beautiful Data</em>. For anyone who handles data, this is a truly fascinating book. Contributors include:<br /> <br /> <li>Nathan Yau</li> <li>Jonathan Follett and Matt Holm</li> <li>J.M. Hughes</li> <li>Raghu Ramakrishnan, Brian Cooper, and Utkarsh Srivastava</li> <li>Jeff Hammerbacher</li> <li>Jason Dykes and Jo Wood</li> <li>Jeff Jonas and Lisa Sokol</li> <li>Jud Valeski</li> <li>Alon Halevy and Jayant Madhavan</li> <li>Aaron Koblin and Valdean Klump</li> <li>Michal Migurski</li> <li>Jeff Heer</li> <li>Coco Krumme</li> <li>Peter Norvig</li> <li>Matt Wood and Ben Blackburne</li> <li>Jean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon Willighagen</li> <li>Lukas Biewald and Brendan O'Connor</li> <li>Hadley Wickham, Deborah Swayne, and David Poole</li> <li>Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza</li> <li>Toby Segaran</li> 6683600 15 7 2009 Beautiful Data: The Stories Behind Elegant Data Solutions total:6|5:0|4:2|3:3|2:1|1:0| 6 19 31 2 4 0 false false Sun Oct 11 00:00:00 -0700 2009 Sun Oct 11 19:39:49 -0700 2009 Sun Oct 11 19:40:15 -0700 2009 more...]]> 3 0 false false Wed Aug 26 00:00:00 -0700 2009 Thu Jul 30 14:12:13 -0700 2009 Wed Aug 26 17:25:50 -0700 2009 0 0 false false Thu Jan 01 00:00:00 -0800 2009 Mon Nov 23 09:47:15 -0800 2009 Mon Nov 23 09:47:25 -0800 2009 3 0 false false Sat Nov 21 20:43:13 -0800 2009 Sat Nov 21 20:43:13 -0800 2009 0 0 false false Sat Nov 21 18:39:25 -0800 2009 Sat Nov 21 18:39:25 -0800 2009 0 0 false false Wed Nov 11 07:06:41 -0800 2009 Wed Nov 11 07:06:41 -0800 2009 0 0 false false Sat Nov 07 15:20:15 -0800 2009 Sat Nov 07 15:20:15 -0800 2009 0 0 false false Mon Oct 26 14:34:23 -0700 2009 Mon Oct 26 14:34:23 -0700 2009 2 0 false false Mon Oct 12 00:00:00 -0700 2009 Sun Oct 25 16:30:59 -0700 2009 Sun Oct 25 16:31:39 -0700 2009 3 0 false false Sun Nov 08 11:50:01 -0800 2009 Mon Oct 12 19:40:57 -0700 2009 Sun Nov 08 11:50:01 -0800 2009 0 0 false false Mon Oct 12 11:49:37 -0700 2009 Mon Oct 12 11:49:37 -0700 2009 0 0 false false Thu Oct 08 21:20:51 -0700 2009 Thu Oct 08 21:21:06 -0700 2009 0 0 false false Thu Oct 08 07:27:05 -0700 2009 Thu Oct 08 07:27:05 -0700 2009 4 0 false false Tue Nov 17 16:40:35 -0800 2009 Thu Oct 01 19:26:54 -0700 2009 Thu Oct 01 19:26:54 -0700 2009 0 0 false false Tue Sep 15 08:55:26 -0700 2009 Tue Sep 15 08:55:26 -0700 2009 0 0 false false Mon Sep 14 10:13:51 -0700 2009 Mon Sep 14 10:13:51 -0700 2009 0 0 false false Fri Sep 11 16:21:31 -0700 2009 Fri Sep 11 16:21:31 -0700 2009 0 0 false false Tue Sep 08 11:17:42 -0700 2009 Tue Sep 08 11:17:42 -0700 2009 0 0 false false Tue Aug 25 14:43:31 -0700 2009 Tue Aug 25 14:43:49 -0700 2009 0 0 false false Sun Aug 23 18:40:09 -0700 2009 Mon Aug 24 10:48:17 -0700 2009 http://www.goodreads.com/book_link/follow/8?book_id=6492189