Researchers, practitioners and postgraduate students of statistics and the applied sciences will find this book a useful introduction to the possibilities of presenting data in informative ways.
This book aims to popularize what is now seen to be a useful and reliable method for the visualization of multidimensional data associated with, for example, principal component analysis, canonical variate analysis, multidimensional scaling, multiplicative interaction and various types of correspondence analysis
Understanding Biplots Introduces theory and techniques which can be applied to problems from a variety of areas, including ecology, biostatistics, finance, demography and other social sciences
Includes colour images, illustrating the graphical capabilities of the methods
Is supported by a Website featuring R code and datasets
Looks at dealing with large data sets as well as smaller ones
Provides novel techniques for the visualization of multidimensional data and includes data mining techniques
Uses applications from many fields including finance, biostatistics, ecology, demography