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.
“下面的代码是从namces.tsv文件读入的,并且通过在用户要放置数据的地方点击鼠标,要求用户指明地址。” “从这个例子开始作为一个独立的sketch程序。” 坑爹的翻译坑爹的校对坑爹的出版社 强烈建议O'Reilly不要费力找坑爹的中国出版社翻译中文版,完全是败坏O'Reilly形象...
評分数据一大堆,不知怎么用,进入数据可视化的专业平台,让专业人士为你排忧解难,从无到有,从不懂到精通,尽在数据视界:www.datashow.com.cn 是不是对文献里的各种高大上的图羡慕嫉妒恨?是不是对着杂乱的结果无从美图秀秀,no problem,let's DIY,在www.datashow.com.cn,随...
評分刚开始看,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...
評分“下面的代码是从namces.tsv文件读入的,并且通过在用户要放置数据的地方点击鼠标,要求用户指明地址。” “从这个例子开始作为一个独立的sketch程序。” 坑爹的翻译坑爹的校对坑爹的出版社 强烈建议O'Reilly不要费力找坑爹的中国出版社翻译中文版,完全是败坏O'Reilly形象...
評分定价65的书,翻译居然这么差。。只看了前两章,且从第二章发现句子很奇怪之后才开始对照英文看,这么短的篇章就错误连篇得足以让我放弃继续阅读中译本了。 抱歉,你的评论太短了抱歉,你的评论太短了抱歉,你的评论太短了抱歉,你的评论太短了抱歉,你的评论太短了抱歉,你的评...
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not deep enough a
评分非常棒的processing書籍
评分很好玩~
评分infographics
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