A fresh look at visualization from the author of Visualize This Whether it's statistical charts, geographic maps, or the snappy graphical statistics you see on your favorite news sites, the art of data graphics or visualization is fast becoming a movement of its own. In Data Points: Visualization That Means Something, author Nathan Yau presents an intriguing complement to his bestseller Visualize This, this time focusing on the graphics side of data analysis. Using examples from art, design, business, statistics, cartography, and online media, he explores both standard-and not so standard-concepts and ideas about illustrating data. Intriguing ideas from Nathan Yau, author of Visualize This and creator of flowingdata.com, with over 66,000 subscribers Focuses on visualization, data graphics that help viewers see trends and patterns they might not otherwise see in a table Includes examples from the author's own illustrations, as well as from professionals in statistics, art, design, business, computer science, cartography, and more Examines standard rules across all visualization applications, then explores when and where you can break those rules Create visualizations that register at all levels, with Data Points: Visualization That Means Something .
Nathan Yau has a PhD in statistics and is a statistical consultant who helps clients make use of their data through visualization. He created the popular site FlowingData.com, and is the author of Visualize This: The FlowingData Guide to Design, Visualization, and Statistics, also published by Wiley.
可视化工具 tableau imageplot 静态图表分析统计:R+adobe illustrator 可视化设计的原材料 视觉暗示:位置、长度、角度、方向、形状、面积、颜色(连续色阶、发散色阶、定性色阶) 坐标:直角坐标、极坐标、地理坐标 标尺:数字标尺、分类标尺、时间标尺 背景信息:描述、标题...
评分数据可视化高手的三大技能: 1. 讲故事的能力; 2. 统计学基础; 3. 设计巧思。 数据可视化就是拥有了完备的统计学和设计哲学基础后,将试图讲述的话题恰如其分展现出来的过程。 不要忘记合理判断和处理原始数据集,如果数据是不整洁的,之后所有的动作都是没有意义的。 不要忘...
评分值得一读,但图书馆翻一翻就好了,没必要买 书中提到的一些案例~ [https://iwantdata.tumblr.com/] [http://thedoghousediaries.com/3586] [http://www.murphlab.com/2011/11/15/a-history-of-the-sky-for-one-year/] [https://notabilia.net/] [https://www.oecdbetterlifeind...
评分 评分书中没有用到很多的专业术语,言简意赅适合当初学者的第一本数据可视化书籍。让我知道在数据分析之后如何让读者感兴趣,并能读懂想表达的意思。 由于作者具有统计学背景,所以书中会有很多统计学常用图表,那些图表也是生活中经常见到的。但有时居心叵测的人,会利用一些技巧让...
Some cool examples and the experiences are worth sharing!
评分对于统计学专业的同学会比较有帮助,如何把数据进行可视化展示,其中的逻辑和所需要的视图,作者下了很多笔墨,其他专业人员不推荐阅读。
评分语言通俗,图表示例颇多,可以作为普及读物。5、6、7 手把手教学,可以着重看一下。
评分对于统计学专业的同学会比较有帮助,如何把数据进行可视化展示,其中的逻辑和所需要的视图,作者下了很多笔墨,其他专业人员不推荐阅读。
评分语言通俗,图表示例颇多,可以作为普及读物。5、6、7 手把手教学,可以着重看一下。
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