Originally proposed by Gabriel (1971), biplots have gained widespread attention as a means of providing a graphical interpretation of a variety of statistical problems. While scatterplots provide the user with a means of visualizing the association between two numerical variables, biplots have been used extensively in a variety of multivariate situations (including the analysis of categorical data), and much has been much written on their construction and interpretation. As a late 2010 contribution to this topic, Michael Greenacre's Biplots in Practice provides an introductory, non-technical and easy to read description of biplots to a variety of popular statistical techniques. Greenacre is better known for his influence in correspondence analysis, and more recently biplots, and many readers will have benefited from his expertise in these areas during his visits to Australia over the past few years.Greenacre states in his preface (p. 11) that 'this book is divided into short chapters for ease of self-learning or for teaching … and is aimed at the widest possible audience in all areas of research Therefore for those requiring an introduction to some of the fundamentals of biplots, Biplots in Practice is a very good place to start. As we shall describe, the book fills a hole left by those contributions that provide a more detailed and often theoretical treatment of the topic.
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机译：最初由加布里埃尔（Gabriel）（1971）提出，双向图作为提供各种统计问题的图形解释的一种方法而受到了广泛的关注。尽管散点图为用户提供了可视化两个数字变量之间关联的方法，但双点图已广泛用于各种多元情况（包括对分类数据的分析）中，并且在其构造和解释方面已撰写了大量文章。作为该主题在2010年末的贡献，Michael Greenacre的Biplots in Practice提供了对Biplots的介绍，非技术性且易于阅读的描述，以介绍各种流行的统计技术。 Greenacre因其在信函分析中的影响力而闻名，最近也有双图，许多读者在过去几年访问澳大利亚期间将受益于他在这些领域的专业知识.Greenacre在其序言中（第11页）指出： “为了便于自学或教学，本书分为短短的章节……面向所有研究领域的最大受众。因此，对于那些需要介绍双峰基本原理的人来说，《实践中的双峰》是一本必读的书。非常好的起点。就像我们将要描述的那样，这本书填补了那些对该主题提供更详细且通常是理论处理的贡献所留下的空白。
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