数据之美(英文影印版)
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- 作者： Toby Segaran Jeff Hammerbacher
- 丛书名： 南京东南大学出版社O'Reilly系列
- 出版社：东南大学出版社
- ISBN：9787564122720
- 上架时间：2010-10-9
- 出版日期：2010 年6月
- 开本：16开
- 页码：364
- 版次：1-1
- 所属分类：
计算机 > 软件工程及软件方法学 > 综合
编辑推荐
揭示了数据发现可以是多么广泛和美丽！
39位业内最佳数据实践者揭秘了他们如何为各种项目开发简单优雅的解决方案
内容简介回到顶部↑
你很快就会发现基于数据的工作会变得多么广泛和美妙。通过一系列的个人故事，该领域的39位最佳数据从业者解释了他们是如何为各式各样的项目来开发简单而又优雅的解决方案，包括从火星着陆器到电台司令(radiohead)的视频，以及更多。通过这本书，你可以：
·探索大量在线数据集内在的机会和挑战
·了解如何使用地图和数据糅合来可视化城市犯罪趋势
·发现众包和透明度如何推进了药品研究的状态
·理解新数据如何能在覆盖先前数据时提醒用户
·了解处理dna数据所需的巨量基础设施
·探索大量在线数据集内在的机会和挑战
·了解如何使用地图和数据糅合来可视化城市犯罪趋势
·发现众包和透明度如何推进了药品研究的状态
·理解新数据如何能在覆盖先前数据时提醒用户
·了解处理dna数据所需的巨量基础设施
目录回到顶部↑
preface
1 seeing your life in data
by nathan yau
personal environmental impact report (peir)
your.flowingdata (yfd)
personal data collection
data storage
data processing
data visualization
the point
how to participate
2 the beautiful people: keeping users in mind when designing data collection methods
by jonathan follett and matthew holm
introduction: user empathy is the new black
the project: surveying customers about a new luxury product
specific challenges to data collection
designing our solution
results and reflection
3 embedded image data processing on mars
by j. m. hughes
1 seeing your life in data
by nathan yau
personal environmental impact report (peir)
your.flowingdata (yfd)
personal data collection
data storage
data processing
data visualization
the point
how to participate
2 the beautiful people: keeping users in mind when designing data collection methods
by jonathan follett and matthew holm
introduction: user empathy is the new black
the project: surveying customers about a new luxury product
specific challenges to data collection
designing our solution
results and reflection
3 embedded image data processing on mars
by j. m. hughes
前言回到顶部↑
WHEN WE WERE FIRST APPROACHED WITH THE IDEA OF A FOLLOW-UP TO BEAUTIFUL CODE, THIS TIME
about data, we found the idea exciting and very ambitious. Collecting, visualizing, and processing data now touches every professional field and so many aspects of daily life that a great collection would have to be almost unreasonably broad in scope. So we contacted a highly diverse group of people whose work we admired, and were thrilled that so many agreed to contribute.
This book is the result, and we hope it captures just how wide-ranging (and beautiful) working with data can be. In it you'll learn about everything from fighting with governments to working with the Mars lander; you'll learn how to use statistics programs, make visualizations, and remix a Radiohead video; you'll see maps, DNA, and something we can only really call "data philosophy."
The royalties for this book are being donated to Creative Commons and the Sunlight Foundation, two organizations dedicated to making the world better by freeing data. We hope you'll consider how your own encounters with data shape the world.
How This Book Is Organized
The chapters in this book follow a loose arc from data collection through data storage, organization, retrieval, visualization, and finally, analysis.
Chapter 1, Seeing Your Life in Data, by Nathan Yau, looks at the motivations and challenges behind two projects in the emerging field of personal data collection.
Chapter 2, The Beautiful People: Keeping Users in Mind When Designing Data Collection Methods, by Jonathan Follett and Matthew Holm, discusses the importance of trust, persuasion, and testing when collecting data from humans over the Web.
Chapter 3, Embedded Image Data Processing on Mars, by J. M. Hughes, discusses the challenges of designing a data processing system that has to work within the constraints of space travel.
Chapter 4, Cloud Storage Design in a PNUTShell, by Brian F. Cooper, Raghu Ramakrishnan,and Utkarsh Srivastava, describes the software Yahoo! has designed to turn its globally distributed data centers into a universal storage platform for powering modern web applications.
Chapter 5, Information Platforms and the Rise of the Data Scientist, by Jeff Hammerbacher,traces the evolution of tools for information processing and the humans who power them,using specific examples from the history of Facebook's data team.
Chapter 6, The Geographic Beauty of a Photographic Archive, by Jason Dykes and Jo Wood, draws attention to the ubiquity and power of colorfully visualized spatial data collected by a volunteer community.
Chapter 7, Data Finds Data, by Jeff Jonas and Lisa Sokol, explains a new approach to thinking about data that many may need to adopt in order to manage it all.
Chapter 8, Portable Data in Real Time, by Jud Valeski, dives into the current limitations of distributing social and location data in real time across the Web, and discusses one potential solution to the problem.
Chapter 9, Surfacing the Deep Web, by Alon Halevy and Jayant Madhavan, describes the tools developed by Google to make searchable the data currently trapped behind forms on the Web.
Chapter 10, Building Radiohead's House of Cards, by Aaron Koblin with Valdean Klump, is an adventure story about lasers, programming, and riding on the back of a bus, and ending with an award-winning music video.
Chapter 11, Visualizing Urban Data, by Michal Migurski, details the process of freeing and beautifying some of the most important data about the world around us.
Chapter 12, The Design of Sense. us, by Jeffrey Heer, recasts data visualizations as social spaces and uses this new perspective to explore 150 years of U.S. census data.
Chapter 13, What Data Doesn't Do, by Coco Krumme, looks at experimental work that demonstrates the many ways people misunderstand and misuse data.
Chapter 14, Natural Language Corpus Data, by Peter Norvig, takes the reader through some evocative exercises with a,trillion-word corpus of natural language data pulled down from across the Web.
about data, we found the idea exciting and very ambitious. Collecting, visualizing, and processing data now touches every professional field and so many aspects of daily life that a great collection would have to be almost unreasonably broad in scope. So we contacted a highly diverse group of people whose work we admired, and were thrilled that so many agreed to contribute.
This book is the result, and we hope it captures just how wide-ranging (and beautiful) working with data can be. In it you'll learn about everything from fighting with governments to working with the Mars lander; you'll learn how to use statistics programs, make visualizations, and remix a Radiohead video; you'll see maps, DNA, and something we can only really call "data philosophy."
The royalties for this book are being donated to Creative Commons and the Sunlight Foundation, two organizations dedicated to making the world better by freeing data. We hope you'll consider how your own encounters with data shape the world.
How This Book Is Organized
The chapters in this book follow a loose arc from data collection through data storage, organization, retrieval, visualization, and finally, analysis.
Chapter 1, Seeing Your Life in Data, by Nathan Yau, looks at the motivations and challenges behind two projects in the emerging field of personal data collection.
Chapter 2, The Beautiful People: Keeping Users in Mind When Designing Data Collection Methods, by Jonathan Follett and Matthew Holm, discusses the importance of trust, persuasion, and testing when collecting data from humans over the Web.
Chapter 3, Embedded Image Data Processing on Mars, by J. M. Hughes, discusses the challenges of designing a data processing system that has to work within the constraints of space travel.
Chapter 4, Cloud Storage Design in a PNUTShell, by Brian F. Cooper, Raghu Ramakrishnan,and Utkarsh Srivastava, describes the software Yahoo! has designed to turn its globally distributed data centers into a universal storage platform for powering modern web applications.
Chapter 5, Information Platforms and the Rise of the Data Scientist, by Jeff Hammerbacher,traces the evolution of tools for information processing and the humans who power them,using specific examples from the history of Facebook's data team.
Chapter 6, The Geographic Beauty of a Photographic Archive, by Jason Dykes and Jo Wood, draws attention to the ubiquity and power of colorfully visualized spatial data collected by a volunteer community.
Chapter 7, Data Finds Data, by Jeff Jonas and Lisa Sokol, explains a new approach to thinking about data that many may need to adopt in order to manage it all.
Chapter 8, Portable Data in Real Time, by Jud Valeski, dives into the current limitations of distributing social and location data in real time across the Web, and discusses one potential solution to the problem.
Chapter 9, Surfacing the Deep Web, by Alon Halevy and Jayant Madhavan, describes the tools developed by Google to make searchable the data currently trapped behind forms on the Web.
Chapter 10, Building Radiohead's House of Cards, by Aaron Koblin with Valdean Klump, is an adventure story about lasers, programming, and riding on the back of a bus, and ending with an award-winning music video.
Chapter 11, Visualizing Urban Data, by Michal Migurski, details the process of freeing and beautifying some of the most important data about the world around us.
Chapter 12, The Design of Sense. us, by Jeffrey Heer, recasts data visualizations as social spaces and uses this new perspective to explore 150 years of U.S. census data.
Chapter 13, What Data Doesn't Do, by Coco Krumme, looks at experimental work that demonstrates the many ways people misunderstand and misuse data.
Chapter 14, Natural Language Corpus Data, by Peter Norvig, takes the reader through some evocative exercises with a,trillion-word corpus of natural language data pulled down from across the Web.
媒体评论回到顶部↑
“数据实际上已经是下一代计算机应用程序的真正核心。在本书中，业界领先者描述了他们的项目是如何采用新方法来攫取数据的威力。对于那些对数据的未来和解决问题的方法感兴趣的人来说，这是一本必须要读的书。”
——Tim O’Reilly，O’ReillyMedia，Inc．创始人和CEO
——Tim O’Reilly，O’ReillyMedia，Inc．创始人和CEO
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