Enormous quantities of data go unused or underused today, simply because people can't visualize the quantities and relationships in it. Using a downloadable programming environment developed by the author, Visualizing Data demonstrates methods for representing data accurately on the Web and elsewhere, complete with user interaction, animation, and more.
How do the 3.1 billion A, C, G and T letters of the human genome compare to those of a chimp or a mouse? What do the paths that millions of visitors take through a web site look like? With Visualizing Data, you learn how to answer complex questions like these with thoroughly interactive displays. We're not talking about cookie-cutter charts and graphs. This book teaches you how to design entire interfaces around large, complex data sets with the help of a powerful new design and prototyping tool called "Processing".
Used by many researchers and companies to convey specific data in a clear and understandable manner, the Processing beta is available free. With this tool and Visualizing Data as a guide, you'll learn basic visualization principles, how to choose the right kind of display for your purposes, and how to provide interactive features that will bring users to your site over and over. This book teaches you:
* The seven stages of visualizing data -- acquire, parse, filter, mine, represent, refine, and interact
* How all data problems begin with a question and end with a narrative construct that provides a clear answer without extraneous details
* Several example projects with the code to make them work
* Positive and negative points of each representation discussed. The focus is on customization so that each one best suits what you want to convey about your data set
The book does not provide ready-made "visualizations" that can be plugged into any data set. Instead, with chapters divided by types of data rather than types of display, you'll learn how each visualization conveys the unique properties of the data it represents -- why the data was collected, what's interesting about it, and what stories it can tell. Visualizing Data teaches you how to answer questions, not simply display information.
题目起的不厚道。英文书名则明确说明本书是数据可视化工具Processing的使用详解。本书专门讲解数据可视化工具processing的使用。有许多代码示例。感兴趣的可以先下载Processing看看,需要深入的话再买这本书细读。
评分题目起的不厚道。英文书名则明确说明本书是数据可视化工具Processing的使用详解。本书专门讲解数据可视化工具processing的使用。有许多代码示例。感兴趣的可以先下载Processing看看,需要深入的话再买这本书细读。
评分刚开始看,还颇有些兴趣。因为他着重讲到一个思想。明确需求,再去重新过滤数据。以前,竟想到怎么去匹配,挖掘数据了。看到他做的地图,感觉也不错。 后来,看着看着,有点枯燥,感觉在自己的工作过程中,用处并不是很大,毕竟,自己不会为展示数据,而花时间开发一个可视化的...
评分在这个到处都是信息的时代,我们无论主动被动都会时不时接收到若干的数据集合,如何理解这些数据往往依赖于接收者的知识技能背景,但是这个不是非常重要,因为好奇心总是会驱使着人们去尝试些有挑战性的工作。于是“数据可视化”正逐渐成了越来越多的人理解、交流获取到的数据...
评分书名起的有诱导的嫌疑。英文书名则明确说明本书是数据可视化工具Processing的使用详解。本书专门讲解数据可视化工具processing的使用。有许多代码示例。感兴趣的可以先下载Processing看看,需要深入的话再买这本书细读。
这恐怕内页有一多半都是代码的书里面,我唯一能觉得值的. 是真的在用心教人的书,很不错. 不过有几个例子不能运行,跟作者无关,主要是里面的网址被墙了,数据传不过来.
评分it does contain many sourcecodes which may seem pointless as you can just pick them off the web,but being able to read the code while reading on the train is nice.
评分虽然力荐,是因为根本看不懂,太难太深 ,但有交代如何图形化处理数据而且客观。新手绝不推荐!
评分为什么你要用Java,为什么
评分很好玩~
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