Ebook: Beautiful Data

Seeing your life in data / Nathan Yau -- The beautiful people : keeping users in mind when designing data collection methods / Jonathan Follett and Matthew Holm -- Embedded image data processing on Mars / J.M. Hughes -- Cloud storage design in a nutshell / Brian F. Cooper, Raghu Ramakrishnan, and Utkarsh Srivastava -- Information platforms and the rise of the data scientist / Jeff Hammerbacher -- The geographic beauty of a photographic archive / Jason Dykes and Jo Wood -- Data finds data / Jeff Jonas and Lisa Sokol -- Portable data in real time / Jud Valeski -- Surfacing the deep web / Alon Halevy and Jayant Madhaven -- Building Radiohead's house of cards / Aaron Koblin with Valdean Klump -- Visualizing urban data / Michal Migurski -- The design of sense.us / Jeffery Heer -- What data doesn't do / Coco Krumme -- Natural language corpus data / Peter Norvig -- Life in data : the story of DNA / Matt Wood and Ben Blackburne -- Beautifying data in the real world / Jean-Claude Bradley [and others] -- Superficial data analysis : exploring millions of social stereotypes / Brendan O'Connor and Lukas Biewald -- Bay area blues : the effect of the housing crisis / Hadley Wickham, Deborah F. Swayne, and David Poole -- Beautiful political data / Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza -- Connecting data / Toby Segaran.;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.