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  • 1
    Online Resource
    Online Resource
    Sebastopol, Calif. ; : O'Reilly
    Language: English
    Pages: 1 online resource (xv, 364 p., [32] p. of plates) , ill., maps.
    Parallel Title: Erscheint auch als
    Keywords: Database design ; Data structures (Computer science) ; Electronic books ; local
    Abstract: 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. With Beautiful Data , you will: Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web Learn how to visualize trends in urban crime, using maps and data mashups Discover the challenges of designing a data processing system that works within the constraints of space travel Learn how crowdsourcing and transparency have combined to advance the state of drug research Understand how new data can automatically trigger alerts when it matches or overlaps pre-existing data Learn about the massive infrastructure required to create, capture, and process DNA data That's only small sample of what you'll find in Beautiful Data . For anyone who handles data, this is a truly fascinating book. Contributors include: Nathan Yau Jonathan Follett and Matt Holm J.M. Hughes Raghu Ramakrishnan, Brian Cooper, and Utkarsh Srivastava Jeff Hammerbacher Jason Dykes and Jo Wood Jeff Jonas and Lisa Sokol Jud Valeski Alon Halevy and Jayant Madhavan Aaron Koblin with Valdean Klump Michal Migurski Jeff Heer Coco Krumme Peter Norvig Matt Wood and Ben Blackburne Jean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon Willighagen Lukas Biewald and Brendan O'Connor Hadley Wickham, Deborah Swayne, and David Poole Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza Toby Segaran
    Note: Description based on print version record. - Includes bibliographical references and index
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  • 2
    ISBN: 9780596157111
    Language: English
    Pages: XV, 364 S. , Ill., graph. Darst.
    Edition: 1. ed.
    DDC: 005.74
    RVK:
    RVK:
    RVK:
    Keywords: Database design ; Data structures (Computer science) ; Databases as Topic ; Diagramm ; Informationsgrafik ; Datenerfassung ; Data Mining ; Visualisierung ; Datenerfassung ; Data Mining ; Visualisierung
    Note: Literaturangaben , Enth. 20 Beitr , Hier auch später erschienene, unveränderte Nachdrucke
    URL: Cover
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