Beautiful Data

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 dataThat'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 von Segaran, Toby