出版社: O'Reilly Media
副标题: Looking at Data through the Eyes of Experts
出版年: 2010-6-28
页数: 416
定价: USD 59.99
装帧: Paperback
丛书: Beautiful X Series
ISBN: 9781449379865
内容简介 · · · · · ·
Visualization is the graphic presentation of data -- portrayals meant to reveal complex information at a glance. Think of the familiar map of the New York City subway system, or a diagram of the human brain. Successful visualizations are beautiful not only for their aesthetic design, but also for elegant layers of detail that efficiently generate insight and new understanding.
...
Visualization is the graphic presentation of data -- portrayals meant to reveal complex information at a glance. Think of the familiar map of the New York City subway system, or a diagram of the human brain. Successful visualizations are beautiful not only for their aesthetic design, but also for elegant layers of detail that efficiently generate insight and new understanding.
This book examines the methods of two dozen visualization experts who approach their projects from a variety of perspectives -- as artists, designers, commentators, scientists, analysts, statisticians, and more. Together they demonstrate how visualization can help us make sense of the world.
Explore the importance of storytelling with a simple visualization exercise
Learn how color conveys information that our brains recognize before we're fully aware of it
Discover how the books we buy and the people we associate with reveal clues to our deeper selves
Recognize a method to the madness of air travel with a visualization of civilian air traffic
Find out how researchers investigate unknown phenomena, from initial sketches to published papers
Contributors include:
Nick Bilton, Michael E. Driscoll, Jonathan Feinberg, Danyel Fisher, Jessica Hagy, Gregor Hochmuth, Todd Holloway, Noah Iliinsky, Eddie Jabbour, Valdean Klump, Aaron Koblin, Robert Kosara, Valdis Krebs, JoAnn Kuchera-Morin et al., Andrew Odewahn, Adam Perer, Anders Persson, Maximilian Schich, Matthias Shapiro, Julie Steele, Moritz Stefaner, Jer Thorp, Fernanda Viegas, Martin Wattenberg, and Michael Young.
Beautiful Visualization的创作者
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Julie Steele 作者
作者简介 · · · · · ·
Julie Steele、Noah Iliinsky等编。
目录 · · · · · ·
Chapter 1 On Beauty What Is Beauty?
Learning from the Classics
How Do We Achieve Beauty?
Putting It Into Practice
Conclusion
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Chapter 1 On Beauty What Is Beauty?
Learning from the Classics
How Do We Achieve Beauty?
Putting It Into Practice
Conclusion
Chapter 2 Once Upon a Stacked Time Series Question + Visual Data + Context = Story
Steps for Creating an Effective Visualization
Hands-on Visualization Creation
Conclusion
Chapter 3 Wordle Wordle's Origins
How Wordle Works
Is Wordle Good Information Visualization?
How Wordle Is Actually Used
Conclusion
Acknowledgments
References
Chapter 4 Color: The Cinderella of Data Visualization Why Use Color in Data Graphics?
Luminosity As a Means of Recovering Local Density
Looking Forward: What About Animation?
Methods
Conclusion
References and Further Reading
Chapter 5 Mapping Information: Redesigning the New York City Subway Map The Need for a Better Tool
London Calling
New York Blues
Better Tools Allow for Better Tools
Size Is Only One Factor
Looking Back to Look Forward
New York's Unique Complexity
Geography Is About Relationships
Sweat the Small Stuff
Conclusion
Chapter 6 Flight Patterns: A Deep Dive Techniques and Data
Color
Motion
Anomalies and Errors
Conclusion
Acknowledgments
Chapter 7 Your Choices Reveal Who You Are: Mining and Visualizing Social Patterns Early Social Graphs
Social Graphs of Amazon Book Purchasing Data
Conclusion
References
Chapter 8 Visualizing the U.S. Senate Social Graph (1991–2009) Building the Visualization
The Story That Emerged
What Makes It Beautiful?
And What Makes It Ugly?
Conclusion
References
Chapter 9 The Big Picture: Search and Discovery The Visualization Technique
YELLOWPAGES.COM
The Netflix Prize
Creating Your Own
Conclusion
References
Chapter 10 Finding Beautiful Insights in the Chaos of Social Network Visualizations Visualizing Social Networks
Who Wants to Visualize Social Networks?
The Design of SocialAction
Case Studies: From Chaos to Beauty
References
Chapter 11 Beautiful History: Visualizing Wikipedia Depicting Group Editing
History Flow in Action
Chromogram: Visualizing One Person at a Time
Conclusion
Chapter 12 Turning a Table into a Tree: Growing Parallel Sets into a Purposeful Project Categorical Data
Parallel Sets
Visual Redesign
A New Data Model
The Database Model
Growing the Tree
Parallel Sets in the Real World
Conclusion
References
Chapter 13 The Design of "X by Y" Briefing and Conceptual Directions
Understanding the Data Situation
Exploring the Data
First Visual Drafts
The Final Product
Conclusion
Acknowledgments
References
Chapter 14 Revealing Matrices The More, the Better?
Databases As Networks
Data Model Definition Plus Emergence
Network Dimensionality
The Matrix Macroscope
Reducing for Complexity
Further Matrix Operations
The Refined Matrix
Scaling Up
Further Applications
Conclusion
Acknowledgments
References
Chapter 15 This Was 1994: Data Exploration with the NYTimes Article Search API Getting Data: The Article Search API
Managing Data: Using Processing
Three Easy Steps
Faceted Searching
Making Connections
Conclusion
Chapter 16 A Day in the Life of the New York Times Collecting Some Data
Let's Clean 'Em First
Python, Map/Reduce, and Hadoop
The First Pass at the Visualization
Scene 1, Take 1
Scene 1, Take 2
The Second Pass at the Visualization
Visual Scale and Other Visualization Optimizations
Getting the Time Lapse Working
So, What Do We Do with This Thing?
Conclusion
Acknowledgments
Chapter 17 Immersed in Unfolding Complex Systems Our Multimodal Arena
Our Roadmap to Creative Thinking
Project Discussion
Conclusion
References
Chapter 18 Postmortem Visualization: The Real Gold Standard Background
Impact on Forensic Work
The Virtual Autopsy Procedure
The Future for Virtual Autopsies
Conclusion
References and Suggested Reading
Chapter 19 Animation for Visualization: Opportunities and Drawbacks Principles of Animation
Animation in Scientific Visualization
Learning from Cartooning
Presentation Is Not Exploration
Types of Animation
Staging Animations with DynaVis
Principles of Animation
Conclusion: Animate or Not?
Further Reading
Acknowledgments
References
Chapter 20 Visualization: Indexed. Visualization: It's an Elephant.
Visualization: It's Art.
Visualization: It's Business.
Visualization: It's Timeless.
Visualization: It's Right Now.
Visualization: It's Coded.
Visualization: It's Clear.
Visualization: It's Learnable.
Visualization: It's a Buzzword.
Visualization: It's an Opportunity.
Appendix Contributors
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丛书信息
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喜欢读"Beautiful Visualization"的人也喜欢 · · · · · ·
Beautiful Visualization的书评 · · · · · · ( 全部 8 条 )
冰冷的数据与火热的艺术
这篇书评可能有关键情节透露
去年考上在职研究生后,选的方向的大数据与云计算,时下热门,回顾这段时间的学习,我印象最深的就是去年暑假在浙大的可视化暑期学校,本来自己就喜欢鼓捣些前端的东西,喜欢科技感十足又酷的感觉。大数据可视化完全符合我的喜好。一下子扎入其中,连毕业设计也是找的陈为教授... (展开)近二十个不同领域的数据可视化案例
有很多可视化作品案例,不错的入门书
集图库,交流,互助于一身的数据可视化交流圣地
> 更多书评 8篇
论坛 · · · · · ·
在这本书的论坛里发言这本书的其他版本 · · · · · · ( 全部2 )
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机械工业出版社 (2011)7.5分 407人读过
以下书单推荐 · · · · · · ( 全部 )
- 信息设计 (GDevilkin)
- 交互设计师养成书单 (LimboMinaïss)
- Information Visualization (全世界我最乖。)
- O'Reilly的数据科学丛书 (透明)
- Big Data & Business Intelligence (Jule)
谁读这本书? · · · · · ·
二手市场
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订阅关于Beautiful Visualization的评论:
feed: rss 2.0
0 有用 卜平 2012-10-14 11:21:56
intriguing lecture on how to better display your thoughts with data
0 有用 Motier 2019-03-31 14:11:16
读过,无什么卵用
0 有用 Herb 2016-01-15 08:21:07
草草过了一遍这书倒是知道visualization的好处以及各种类型。但我还是不会做啊😂
0 有用 Clare 2020-07-04 20:34:22
有哪些值得推荐的数据可视化工具? - Franci的回答 - 知乎 https://www.zhihu.com/question/19929609/answer/47173913
0 有用 NewStruct 2021-03-07 14:19:27
通过经典的专家案例感受数据可视化的魅力。
0 有用 Renae 2024-03-13 19:55:06 澳大利亚
这是一本探讨数据可视化的书籍,它通过展示专家们的视角来揭示数据的潜力和魅力。跟预想中系统的理论书不一样,这本书一个章节就是一个案例,通过原作者描述自己的创作过程,展示了数据如何被清晰、有吸引力地可视化呈现。这些案例都是非常经典的可视化案例,比如NYT的那版美国大选选票图来自不同领域,包括但不限于科学、商业、社会学等, 有一章甚至是关于尸检图片的可视化,让我开了开眼界哈哈哈,果然书里自有黄金屋。 ... 这是一本探讨数据可视化的书籍,它通过展示专家们的视角来揭示数据的潜力和魅力。跟预想中系统的理论书不一样,这本书一个章节就是一个案例,通过原作者描述自己的创作过程,展示了数据如何被清晰、有吸引力地可视化呈现。这些案例都是非常经典的可视化案例,比如NYT的那版美国大选选票图来自不同领域,包括但不限于科学、商业、社会学等, 有一章甚至是关于尸检图片的可视化,让我开了开眼界哈哈哈,果然书里自有黄金屋。 但是不得不承认,里面有好几章我就是很粗略地看了一下,没有认真阅读,因为有些例子对于我来说有些枯燥了,比如有些作者会分享大段大段的他们用来做图的代码,而这些细节对于现阶段的我来说是没有必要的。所以这书推荐给想要具体了解并学习制作某个案例的伙伴们。 (展开)
0 有用 NewStruct 2021-03-07 14:19:27
通过经典的专家案例感受数据可视化的魅力。
0 有用 Clare 2020-07-04 20:34:22
有哪些值得推荐的数据可视化工具? - Franci的回答 - 知乎 https://www.zhihu.com/question/19929609/answer/47173913
0 有用 Motier 2019-03-31 14:11:16
读过,无什么卵用
0 有用 nanccy 2017-11-25 17:15:00
花了一下午读完了,入门还不错,但是因为书写了已经有一段时间,很多图已经广泛应用,读起来并没有特别的感觉,很快翻过了,对于想了解最新的看法和简介的,不是特别的适合。