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 WebLearn how to visualize trends in urban crime, using maps and data mashupsDiscover the challenges of designing a data processing system that works within the constraints of space travelLearn how crowdsourcing and transparency have combined to advance the state of drug researchUnderstand how new data can automatically trigger alerts when it matches or overlaps pre-existing dataLearn 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 YauJonathan Follett and Matt HolmJ.M. HughesRaghu Ramakrishnan, Brian Cooper, and Utkarsh SrivastavaJeff HammerbacherJason Dykes and Jo WoodJeff Jonas and Lisa SokolJud ValeskiAlon Halevy and Jayant MadhavanAaron Koblin with Valdean KlumpMichal MigurskiJeff HeerCoco KrummePeter NorvigMatt Wood and Ben BlackburneJean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon WillighagenLukas Biewald and Brendan O'ConnorHadley Wickham, Deborah Swayne, and David PooleAndrew Gelman, Jonathan P. Kastellec, and Yair GhitzaToby Segaran