Beautiful data :  the stories behind elegant data solutions 
Edited by Toby Segaran and Jeff Hammerbacher 
 - Sebastopol, CA :  O'Reilly,  c2009. 
 - xv, 364 p. :  ill. ;  24 cm. 
<br/><br/> Subtitle from cover. 
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<br/><br/>Seeing your life in data / by Nathan Yau -- The beautiful people : keeping users in mind when designing data collection methods / by Jonathan Follett and Matthew Holm -- Embedded image data processing on Mars / by J.M. Hughes -- Cloud storage design in a nutshell / by Brian F. Cooper, Raghu Ramakrishnan, and Utkarsh Srivastava -- Information platforms and the rise of the data scientist / by Jeff Hammerbacher -- The geographic beauty of a photographic archive / by Jason Dykes and Jo Wood -- Data finds data / by Jeff Jonas and Lisa Sokol -- Portable data in real time / by Jud Valeski -- Surfacing the deep web / by Alon Halevy and Jayant Madhaven -- Building Radiohead's house of cards / by Aaron Koblin with Valdean Klump -- Visualizing urban data / by Michal Migurski -- The design of sense.us / by Jeffery Heer -- What data doesn't do / by Coco Krumme -- Natural language corpus data / by Peter Norvig -- Life in data : the story of DNA / by Matt Wood and Ben Blackburne -- Beautifying data in the real world / by Jean-Claude Bradley ... [et al.] -- Superficial data analysis : exploring millions of social stereotypes / by Brendan O'Connor and Lukas Biewald -- Bay area blues : the effect of the housing crisis / by Hadley Wickham, Deborah F. Swayne, and David Poole -- Beautiful political data / by Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza -- Connecting data / by Toby Segaran. 
<br/><br/> 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 Beautiful Data, you will:<br/><br/>Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web<br/>Learn how to visualize trends in urban crime, using maps and data mashups<br/>Discover the challenges of designing a data processing system that works within the constraints of space travel<br/>Learn how crowdsourcing and transparency have combined to advance the state of drug research<br/>Understand how new data can automatically trigger alerts when it matches or overlaps pre-existing data<br/>Learn about the massive infrastructure required to create, capture, and process DNA data. 
<br/><br/><label>ISBN: </label>9780596157111 
<br/><br/><label>LCCN: </label>2010277075 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Database design<br/>Data structures (Computer science)<br/>Databases as Topic
<br/><br/><label>Dewey Class. No.: </label>005.74 BE AU