Creating More Effective Graphs 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Creating More Effective Graphs

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Robbins, Naomi B. 作者
John Wiley & Sons Inc
译者
2004-12 出版日期
424 页数
499.00元 价格
Pap
丛书系列
9780471274025 图书编码

Creating More Effective Graphs 在线电子书 图书标签: visualization  论文写作  计算机/软件  编程  数据可视化  数学/自然科学  可视化  graph   


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Creating More Effective Graphs 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Creating More Effective Graphs 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Creating More Effective Graphs 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Creating More Effective Graphs 在线电子书 图书描述

A succinct and highly readable guide to creating effective graphs The right graph can be a powerful tool for communicating information, improving a presentation, or conveying your point in print. If your professional endeavors call for you to present data graphically, here's a book that can help you do it more effectively. Creating More Effective Graphs gives you the basic knowledge and techniques required to choose and create appropriate graphs for a broad range of applications. Using real-world examples everyone can relate to, the author draws on her years of experience in graphical data analysis and presentation to highlight some of today's most effective methods. In clear, concise language, the author answers such common questions as:* What constitutes an effective graph for communicating data?* How do I choose the type of graph that is best for my data?* How do I recognize a misleading graph?* Why do some graphs have logarithmic scales? In no time you'll graduate from bar graphs and pie charts to graphs that illuminate data like:* Dot plots* Box plots* Scatterplots* Linked micromaps* Trellis displays* Mosaic plots* Month plots* Scatterplot matrices ...most of them requiring only inexpensive, easily downloadable software. Whether you're a novice at graphing or already use graphs in your work but want to improve them, Creating More Effective Graphs will help you develop the kind of clear, accurate, and well-designed graphs that will allow your data to be understood.

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