Beautiful Data: The Stories Behind Elegant Data Solutions
<div><p>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:</p><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/></p><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 with 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></div>