Beautiful Data: The Stories Behind Elegant Data Solutions (Paperback)

Toby Segaran, Jeff Hammerbacher

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商品描述

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

商品描述(中文翻譯)

在這本富有洞察力的書中,您將從領域內最優秀的數據專家那裡學到與數據相關的工作有多廣泛且美麗。加入39位貢獻者,他們將解釋他們如何在從火星登陸器到Radiohead音樂視頻等各種項目中開發出簡單而優雅的解決方案。

通過《Beautiful Data》,您將能夠:
- 探索在網絡提供的大量數據集中工作所涉及的機會和挑戰
- 學習如何使用地圖和數據混搭來可視化城市犯罪趨勢
- 了解在太空旅行的限制下設計數據處理系統的挑戰
- 了解眾包和透明度如何結合推動藥物研究的進展
- 理解新數據如何在匹配或重疊現有數據時自動觸發警報
- 了解創建、捕獲和處理DNA數據所需的龐大基礎設施

這只是《Beautiful Data》中的一小部分內容。對於任何處理數據的人來說,這是一本真正迷人的書。貢獻者包括:
- Nathan Yau
- Jonathan Follett和Matt Holm
- J.M. Hughes
- Raghu Ramakrishnan、Brian Cooper和Utkarsh Srivastava
- Jeff Hammerbacher
- Jason Dykes和Jo Wood
- Jeff Jonas和Lisa Sokol
- Jud Valeski
- Alon Halevy和Jayant Madhavan
- Aaron Koblin與Valdean Klump
- Michal Migurski
- Jeff Heer
- Coco Krumme
- Peter Norvig
- Matt Wood和Ben Blackburne
- Jean-Claude Bradley、Rajarshi Guha、Andrew Lang、Pierre Lindenbaum、Cameron Neylon、Antony Williams和Egon Willighagen
- Lukas Biewald和Brendan O'Connor
- Hadley Wickham、Deborah Swayne和David Poole
- Andrew Gelman、Jonathan P. Kastellec和Yair Ghitza
- Toby Segaran