Data Points pdf epub mobi txt 电子书下载 2025

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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.

出版者:Wiley

作者:Nathan Yau

出品人:

页数:320

译者:

出版时间:2013-4-15

价格:USD 39.99

装帧:Paperback

isbn号码:9781118462195

丛书系列:

图书标签:

数据可视化
visualization
data
可视化
数据分析
Visualization
计算机
计算机科学与技术

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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 .

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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...

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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...

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对我而言是越往后看越失望的书。最有趣的是书的开头，作者科普了很多数据展示的实际案例。如meshu，一个基于地理位置定制首饰的流程；Felton的annual report，将自己每年的数据分析展示做成年报；NASA的洋流图，美到窒息等等。但是最该认真讲的规则做法部分实在是没有干货。 ...