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R在数据科学中的应用,第2版
book

R在数据科学中的应用,第2版

by Hadley Wickham, Mine Cetinkaya-Rundel, Garrett Grolemund
May 2025
Intermediate to advanced
578 pages
8h 9m
Chinese
O'Reilly Media, Inc.
Content preview from R在数据科学中的应用,第2版

第二部分. 视觉化

在阅读了本书的第一部分后,你已经了解了(至少是表面上的)从事数据科学最重要的工具。现在是开始深入研究细节的时候了。在本书的这一部分,你将在图 II-1 中进一步深入学习数据可视化。

Our data science model, with visualize highlighted in blue.
图 II-1. 数据可视化通常是数据探索的第一步。

每章讨论创建数据可视化的一个到几个方面:

  • 第 9 章将介绍图形的分层语法。

  • 第 10 章中,你将把可视化与你的好奇心和怀疑精神结合起来,提出并回答有关数据的有趣问题。

  • 最后,在第 11 章中,你将学习如何将探索性图形加以提升,并将其转化为说明性图形,即帮助刚接触你的分析的人尽可能快速、轻松地了解情况的图形。

这三章让你开始进入可视化世界,但要学的东西还有很多。学习更多知识的最佳途径是 ggplot2 一书:ggplot2:Elegant Graphics for Data Analysis》(施普林格出版社)。这本书更深入地介绍了基础理论,并提供了更多如何将各个部分结合起来解决实际问题的示例。另一个很好的资源是ggplot2 扩展库。该网站列出了许多用新的地理位置和尺度扩展 ggplot2 的软件包。如果你想用 ggplot2 做一些看起来很难的事情,这是一个很好的起点。

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Publisher Resources

ISBN: 9798341657304