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Beautiful Data: The Stories Behind Elegant…
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Beautiful Data: The Stories Behind Elegant Data Solutions

by Toby Segaran (Editor), Jeff Hammerbacher (Editor)

Other authors: Lukas Biewald (Contributor), Ben Blackburne (Contributor), Jean-Claude Bradley (Contributor), Brian F. Cooper (Contributor), Jason Dykes (Contributor)34 more, Jonathan Follett (Contributor), Andrew Gelman (Contributor), Yair Ghitza (Contributor), Rajarshi Guha (Contributor), Alon Halevy (Contributor), Jeff Hammerbacher (Contributor), Jeffrey Heer (Contributor), Matthew Holm (Contributor), J. M. Hughes (Contributor), Jeff Jonas (Contributor), Jonathan P. Kastellec (Contributor), Valdean Klump (Contributor), Aaron Koblin (Contributor), Coco Krumme (Contributor), Andrew Lang (Contributor), Pierre Lindenbaum (Contributor), Jayant Madhaven (Contributor), Michal Migurski (Contributor), Cameron Neylon (Contributor), Peter Norvig (Contributor), Brendan O'Connor (Contributor), David Poole (Contributor), Raghu Ramakrishnan (Contributor), Toby Segaran (Contributor), Lisa Sokol (Contributor), Utkarsh Srivastava (Contributor), Deborah F. Swayne (Contributor), Jud Valeski (Contributor), Hadley Wickham (Contributor), Antony Williams (Contributor), Egon Willighagen (Contributor), Jo Wood (Contributor), Matt Wood (Contributor), Nathan Yau (Contributor)

Series: Theory in Practice

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For an interaction designer, this edited collection has a refreshing approach: It starts from the concept of data, and develops many aspects -- from database organization and query efficiency to strategies for guerilla data collection projects, from accessing the deep web to visualization and digital data-based arts. After reading it, my sense was that I had received a glimpse of important concepts and concerns in several specialized fields related to my own -- and I also dog-eared a couple of chapters as immediately relevant to future work in information visualization and open-data aggregation.
  jonas.lowgren | Sep 15, 2011 |
One of the best books I've read this year. ( )
  vertis | Apr 13, 2011 |
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. ( )
  albertgoldfain | Sep 7, 2010 |
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» Add other authors

Author nameRoleType of authorWork?Status
Segaran, TobyEditorprimary authorall editionsconfirmed
Hammerbacher, JeffEditormain authorall editionsconfirmed
Biewald, LukasContributorsecondary authorall editionsconfirmed
Blackburne, BenContributorsecondary authorall editionsconfirmed
Bradley, Jean-ClaudeContributorsecondary authorall editionsconfirmed
Cooper, Brian F.Contributorsecondary authorall editionsconfirmed
Dykes, JasonContributorsecondary authorall editionsconfirmed
Follett, JonathanContributorsecondary authorall editionsconfirmed
Gelman, AndrewContributorsecondary authorall editionsconfirmed
Ghitza, YairContributorsecondary authorall editionsconfirmed
Guha, RajarshiContributorsecondary authorall editionsconfirmed
Halevy, AlonContributorsecondary authorall editionsconfirmed
Hammerbacher, JeffContributorsecondary authorall editionsconfirmed
Heer, JeffreyContributorsecondary authorall editionsconfirmed
Holm, MatthewContributorsecondary authorall editionsconfirmed
Hughes, J. M.Contributorsecondary authorall editionsconfirmed
Jonas, JeffContributorsecondary authorall editionsconfirmed
Kastellec, Jonathan P.Contributorsecondary authorall editionsconfirmed
Klump, ValdeanContributorsecondary authorall editionsconfirmed
Koblin, AaronContributorsecondary authorall editionsconfirmed
Krumme, CocoContributorsecondary authorall editionsconfirmed
Lang, AndrewContributorsecondary authorall editionsconfirmed
Lindenbaum, PierreContributorsecondary authorall editionsconfirmed
Madhaven, JayantContributorsecondary authorall editionsconfirmed
Migurski, MichalContributorsecondary authorall editionsconfirmed
Neylon, CameronContributorsecondary authorall editionsconfirmed
Norvig, PeterContributorsecondary authorall editionsconfirmed
O'Connor, BrendanContributorsecondary authorall editionsconfirmed
Poole, DavidContributorsecondary authorall editionsconfirmed
Ramakrishnan, RaghuContributorsecondary authorall editionsconfirmed
Segaran, TobyContributorsecondary authorall editionsconfirmed
Sokol, LisaContributorsecondary authorall editionsconfirmed
Srivastava, UtkarshContributorsecondary authorall editionsconfirmed
Swayne, Deborah F.Contributorsecondary authorall editionsconfirmed
Valeski, JudContributorsecondary authorall editionsconfirmed
Wickham, HadleyContributorsecondary authorall editionsconfirmed
Williams, AntonyContributorsecondary authorall editionsconfirmed
Willighagen, EgonContributorsecondary authorall editionsconfirmed
Wood, JoContributorsecondary authorall editionsconfirmed
Wood, MattContributorsecondary authorall editionsconfirmed
Yau, NathanContributorsecondary authorall editionsconfirmed
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All royalties from this book will be donated to Creative Commons and the Sunlight foundation.
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When we were first approached with the idea of a follow-up to Beautiful Code, this time about data, we found the idea exciting and very ambitious.
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Amazon.com Product Description (ISBN 0596157118, Paperback)

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

(retrieved from Amazon Mon, 30 Sep 2013 13:55:34 -0400)

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