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VersandkostenfreiIn 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:
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
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
Inhaltsverzeichnis
Dedication
Preface
Chapter 1: Seeing Your Life in Data
Chapter 2: The Beautiful People: Keeping Users in Mind When Designing Data Collection Methods
Chapter 3: Embedded Image Data Processing on Mars
Chapter 4: Cloud Storage Design in a PNUTShell
Chapter 5: Information Platforms and the Rise of the Data Scientist
Chapter 6: The Geographic Beauty of a Photographic Archive
Chapter 7: Data Finds Data
Chapter 8: Portable Data in Real Time
Chapter 9: Surfacing the Deep Web
Chapter 10: Building Radiohead's House of Cards
Chapter 11: Visualizing Urban Data
Chapter 12: The Design of Sense. us
Chapter 13: What Data Doesn't Do
Chapter 14: Natural Language Corpus Data
Chapter 15: Life in Data: The Story of DNA
Chapter 16: Beautifying Data in the Real World
Chapter 17: Superficial Data Analysis: Exploring Millions of Social Stereotypes
Chapter 18: Bay Area Blues: The Effect of the Housing Crisis
Chapter 19: Beautiful Political Data
Chapter 20: Connecting Data
Contributors
COLOPHON
Produktdetails
Erscheinungsdatum
25. August 2009
Sprache
englisch
Seitenanzahl
382
Autor/Autorin
Toby Segaran, Jeff Hammerbacher
Verlag/Hersteller
Produktart
kartoniert
Gewicht
614 g
Größe (L/B/H)
235/179/25 mm
ISBN
9780596157111
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