Beautiful Data: The Stories Behind Elegant Data Solutions

Beautiful Data: The Stories Behind Elegant Data Solutions

Toby Segaran, Jeff Hammerbacher

Language: English

Pages: 386

ISBN: 0596157118

Format: PDF / Kindle (mobi) / ePub

Beautiful Data: The Stories Behind Elegant Data Solutions

Toby Segaran, Jeff Hammerbacher

Language: English

Pages: 386

ISBN: 0596157118

Format: PDF / Kindle (mobi) / ePub


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
  • Seven Languages in Seven Weeks: A Pragmatic Guide to Learning Programming Languages

    Android Recipes: A Problem-Solution Approach (2nd Edition)

    Elementary Mechanics Using Python

    Coders at Work: Reflections on the Craft of Programming

    Expert Visual C++/CLI: .NET for Visual C++ Programmers

    Programming in Lua (3rd Edition)

     

     

     

     

     

     

     

     

     

     

     

     

    project—a portfolio site for a designer— we used JavaScript to hide and reveal details about different projects, making it possible to take in all of the designer’s work at a glance and then dive deeper into areas of interest, all T H E B E A U T I F U L P E O P L E 25 Download at Boykma.Com without leaving the home page. This idea—not overwhelming the user with too much information, yet making that information quickly accessible at the same time—was on our minds when we approached the

    the United States, these almost never appear in publicly accessible databases; unique identifiers for people almost always end up requiring some level of protection. Except in very closed sets (names of countries, for example) or for exceedingly rare names (“Toby Segaran” comes to mind), it’s strongly advisable not to conflate things based on name alone; algorithms should be designed to use additional evidence to determine whether two separate records really are the same thing. I think

    undertaken as part of the project TRIPOD, supported by the European Com- mission under contract 045335. T H E G E O G R A P H I C B E A U T Y O F A P H O T O G R A P H I C A R C H I V E 101 Download at Boykma.Com References Andrienko, G., N. Andrienko, J. Dykes, S. Fabrikant, and M. Wachowicz. 2008. “Geovisu- alization of dynamics, movement and change: key issues and developing approaches in visualization research.” Information Visualization, v. 7: 173–180. Bertin, J. 1983. Semiology of

    2001: 509–520. “Forms in HTML documents.” http://www.w3.org/TR/html401/interact/forms.html. He, B., M. Patel, Z. Zhang, and K. C.-C. Chang. “Accessing the Deep Web: A survey.” Communications of the ACM, 50(5): 95–101, 2007. Ipeirotis, P. G. and L. Gravano. “Distributed Search over the Hidden Web: Hierarchical Database Sampling and Selection.” VLDB 2002: 394–405. Madhavan, J., L. Afanasiev, L. Antova, and A.Y. Halevy. “Harnessing the Deep Web: Present and Future.” CIDR 2009. Madhavan, J.,

    G U R E 1 1 - 6 . The Oakland Crimespotting home page shows a map of crime reports from the past week. (See Color Plate 32.) Maps found that test subjects didn’t know they could move a map; now organizations such as the New York Times routinely push the boundaries of information design and pre- sentation online. With our crime database, we felt it was important to make the informa- tion more findable by creating a data-first user interface. Data first means that it’s possible to start with a

    Download sample

    Download