Data Points

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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
  • 数据可视化
  • 统计学
  • 数据分析
  • 信息图表
  • 数据科学
  • 设计
  • 叙事
  • 商业智能
  • 数据呈现
  • 用户体验
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具体描述

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 .

作者简介

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.

目录信息

Introduction xi
1 Understanding Data 1
2 Visualization: The Medium 43
3 Representing Data 91
4 Exploring Data Visually 135
5 Visualizing with Clarity 201
6 Designing for an Audience 241
7 Where to Go from Here 277
Index 291
· · · · · · (收起)

读后感

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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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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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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

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...

用户评价

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always love Nathan Yau's work

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* 有几张图不错. * douban的搜索太TM差了, 搜索"data point"就找不到这本书了.

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最爱这种书,读起来是一种美的享受,同时还学到了一点东西。

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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。

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可视化

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