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CRC Press Exploratory Multivariate Analysis Using R Book

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Description

Master multivariate exploratory data analysis with Exploratory Multivariate Analysis by Example Using R, Second Edition. Published by CRC Press, this book provides a practical guide to four fundamental methods essential for data science applications. It utilizes real-world case studies and practical advice to help readers navigate complex data sets. The text covers principal component analysis (PCA) for quantitative variables, as well as correspondence analysis (CA) and multiple correspondence analysis (MCA) for categorical variables. It also includes detailed coverage of hierarchical cluster analysis. By taking a geometric point of view, the authors offer a unified vision for exploring multivariate data tables, making it an effective resource for those working with R.

Key Features

Exploratory Multivariate Analysis by Example Using R covers four fundamental methods suitable for diverse data applications.

The book provides practical guidance on principal component analysis (PCA) specifically for quantitative variables.

Learn how to apply correspondence analysis (CA) and multiple correspondence analysis (MCA) when working with categorical variables.

This Second Edition includes detailed instruction on hierarchical cluster analysis for data exploration.

CRC Press provides a unified geometric vision for exploring multivariate data tables through real-world case studies.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
25 April 2017
Listed Since
09 July 2016

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