Beautiful Data: The Stories Behind Elegant Data Solutions

Front Cover
"O'Reilly Media, Inc.", Jul 14, 2009 - Computers - 386 pages

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
    •  

    Selected pages

    Contents

    Seeing Your Life in Data
    		1
    Keeping Users in Mind When Designing Data Collection Methods
    		17
    Embedded Image Data Processing on Mars
    		35
    Cloud Storage Design in a PNUTShell
    		55
    Information Platforms and the Rise of the Data Scientist
    		73
    The Geographic Beauty of a Photographic Archive
    		85
    Data Finds Data
    		105
    Portable Data in Real Time
    		119
    What Data Doesnt Do
    		205
    Natural Language Corpus Data
    		219
    The Story of DNA
    		243
    Beautifying Data in the Real World
    		259
    Exploring Millions of Social Stereotypes
    		279
    The Effect of the Housing Crisis
    		303
    Beautiful Political Data
    		323
    Connecting Data
    		335

    Surfacing the Deep Web
    		133
    Building Radioheads House of Cards
    		149
    Visualizing Urban Data
    		167
    The Design of Senseus
    		183
    Contributors
    		349
    Index
    		357
    Copyright

    Common terms and phrases

    algorithm Alice annotation application approach beautiful bigram BigTable camera candidate Chapter ChemSpider cluster Color Plate create CrimeWatch crowdsourcing data collection data finds data data set data warehouse database Deep Web developed distribution downlink encoded example exploration Facebook Figure form submissions format genome geographic Google graph graphics Hadoop image data image slot interaction interesting interface Lidar look MapReduce multiple MySQL n-gram nodes open source patterns PEIR pixel plot population pyramid possible probability problem query Radiohead record replicas represent scatterplot search engine segment sequence server shows social data space spreadsheet statistical storage tags task templates terabytes text inputs Thom Yorke tion treemap types updates URLs users values words

    Bibliographic information

    TitleBeautiful Data: The Stories Behind Elegant Data Solutions
    Theory in practice
    AuthorsToby Segaran, Jeff Hammerbacher
    Publisher"O'Reilly Media, Inc.", 2009
    ISBN144937929X, 9781449379292
    Length386 pages
    Subjects ›  › 

    Business & Economics / General
    Computers / Data Science / Data Analytics
    Computers / Data Science / Data Modeling & Design
    Computers / General
      
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