The Visual Display of Quantitative Information

The Visual Display of Quantitative Information pdf epub mobi txt 电子书 下载 2025

出版者:Graphics Pr
作者:Edward R. Tufte
出品人:
页数:200
译者:
出版时间:2001-1
价格:USD 40.00
装帧:Hardcover
isbn号码:9780961392147
丛书系列:
图书标签:
  • Visualization 
  • 数据可视化 
  • 设计 
  • 可视化 
  • 信息设计 
  • 数据表现 
  • 数据 
  • design 
  •  
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The classic book on statistical graphics, charts, tables. Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. Design of the high-resolution displays, small multiples. Editing and improving graphics. The data-ink ratio. Time-series, relational graphics, data maps, multivariate designs. Detection of graphical deception: design variation vs. data variation. Sources of deception. Aesthetics and data graphical displays.

This is the second edition of The Visual Display of Quantitative Information. Recently published, this new edition provides excellent color reproductions of the many graphics of William Playfair, adds color to other images, and includes all the changes and corrections accumulated during 17 printings of the first edition.

This book celebrates escapes from the flatlands of both paper and computer screen, showing superb displays of high-dimensional complex data. The most design-oriented of Edward Tufte's books, Envisioning Information shows maps, charts, scientific presentations, diagrams, computer interfaces, statistical graphics and tables, stereo photographs, guidebooks, courtroom exhibits, timetables, use of color, a pop-up, and many other wonderful displays of information. The book provides practical advice about how to explain complex material by visual means, with extraordinary examples to illustrate the fundamental principles of information displays. Topics include escaping flatland, color and information, micro/macro designs, layering and separation, small multiples, and narratives. Winner of 17 awards for design and content. 400 illustrations with exquisite 6- to 12-color printing throughout. Highest quality design and production.

Visual Explanations: Images and Quantities, Evidence and Narrative is about pictures of verbs, the representation of mechanism and motion, process and dynamics, causes and effects, explanation and narrative. Practical applications and examples include statistical graphics, charts for making important decisions in engineering and medicine, technical manuals, diagrams, design of computer interfaces and websites and on-line manuals, animations and scientific visualizations, techniques for talks, and design strategies for enhancing the rate of information transfer in print, presentations, and computer screens. The use of visual evidence in deciding to launch the space shuttle Challenger is discussed in careful detail. Video snapshots show redesigns of a supercomputer animation of a thunderstorm. The book is designed and printed to the highest standards, with luscious color throughout and four built-in flaps for showing motion and before/after effects.

具体描述

读后感

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暑假实习期间看完这本书,因为这本书是在太好,又没人写过,于是把处女评给它了。 这本书绝对是一本信息可视化的经典之作,但是实在不觉得这本书跟HCI或者UX有太大的联系。 总的来说,作者在书中传达的观点即是:图表设计的目的既是让读者能快速地获取真实而丰富的信息。 因...  

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本来抱着很大的期待找来了这本书,以后会从中看到很多心理学研究的应用。但是实际内容有点让我失望。 虽然我也同意在表达信息时应该简明,但是作者为了突触简明,竟然一味的在缩小墨水用量。这样做确实使得(数据墨水/全部墨水)提高了,却损伤了表达信息时需要注意的其他...

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原文链接在:http://lijuan.yo2.cn/2008/06/30/reading-the-visual-display-of-quantitative-information/ 这本书的核心思想就是下面这两点: 1. 真实:“Graphical excellence requires telling the truth about the data.” 2. 简明:“Graphical excellence is that...  

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本来抱着很大的期待找来了这本书,以后会从中看到很多心理学研究的应用。但是实际内容有点让我失望。 虽然我也同意在表达信息时应该简明,但是作者为了突触简明,竟然一味的在缩小墨水用量。这样做确实使得(数据墨水/全部墨水)提高了,却损伤了表达信息时需要注意的其他...

评分

暑假实习期间看完这本书,因为这本书是在太好,又没人写过,于是把处女评给它了。 这本书绝对是一本信息可视化的经典之作,但是实在不觉得这本书跟HCI或者UX有太大的联系。 总的来说,作者在书中传达的观点即是:图表设计的目的既是让读者能快速地获取真实而丰富的信息。 因...  

用户评价

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A must read for every statistician, economist, and presentational graphic designer.

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简明扼要的讲解定量数据的可视化。特别强调可视化对不同变量之间关系的呈现。反对为艺术效果而混淆或者简化数据。

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几大原则:信息不能失真 (Lie factor)、信息量最大化 (Data-ink)、通常选用黄金比例做图表(1.618:1)

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在美国就知道作者的大名。在北京读过电子版之后在 Thoughtworks 做了报告。反响不错。

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我又向无救geek迈进了一步。此外,这书我觉得是开眼界用的,对我这种每每想起figure就只有那么几种概念的死脑筋来说,确实很有启发性。

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