Beautiful Data: The Stories Behind Elegant Data Solutions

Capa
"O'Reilly Media, Inc.", 14/07/2009 - 386 páginas

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
  •  

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    LibraryThing Review

    Procura do Utilizador  - albertgoldfain - LibraryThing

    A thought-provoking tour of recent data-intensive research. I found it most useful for its "aha" and "I should have thought of that" moments. I also appreciated the numerous external references to free datasets and data processing tools. Ler crítica na íntegra

    LibraryThing Review

    Procura do Utilizador  - vertis - LibraryThing

    One of the best books I've read this year. Ler crítica na íntegra

    Índice

    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
    Direitos de autor

    Palavras e frases frequentes

    Informação bibliográfica