Description:
This volume shows how correspondence analysis and related techniques enable the display of data in graphical form, which results in the verbalization of the structures in data. Renowned researchers in the field trace the history of these techniques and cover their current applications. Examples include the spatial visualization of multivariate data, cluster analysis in computer science, the transformation of a textual data set into numerical data, the use of quantitative and qualitative variables in multiple factor analysis, and more.
Review Quotes:
"This book presents a set of techniques for data analysis, together with the history of how these methods were developed. The audience seems to be those who are interested in these techniques, or, invested already in them, are curious about the history and intellectual process that led to their development... VAVOD [Visualization and Verbalization of Data] is a worthwhile read. Many of the chapters can be used as stand-alone introductions to particular techniques, including both theory and applications; as a collection, they offer a somewhat uneven but wide ranging and far reaching overview of a vibrant field of intellectual activity. The fact that many of the chapters are written by founders of the field, writing about techniques they created, refined and developed over decades, lends this book unusual gravitas as both a work of reference and as a document."
--Omar De la Cruz Cabrera, Kent State University, in The American Statistician, August 2016
"Given the continuing digitization of all facets of modern societies, we are fed with rapidly growing masses of data. At this pace, visualization is one decisive step to go beyond the factual knowledge of distributions to the recognition of conceptual spaces by advanced analytic methods. The big challenge will continue to be the verbalization of what we see as results of the analyses. This book lays the ground for significant advances on the way forward."
--From the Foreword by Ekkehard Mochmann, Cologne