Visualization and verbalization of data

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Visualization and Verbalization of Data 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.

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Title Statements

Full title :Visualization and verbalization of data / [edited by] Jorg Blasius, Michael Greenacre.

Summary

Edition Statements

Publication Date:2014.

Publication Statements

Publisher(s):CRC Press, Taylor and Francis
Place of Publication:Boca Raton
Language:eng
Publication Date:2014.

The Physical Object

Description:1 online resource (382 pages)

Edition Identifiers

ISBN:9781466589803, 1466589809
oclc:ocn875095865
LC Classification:QA76.9.I52
Dewey Decimal:001.4/226

Front Cover; Contents; Foreword; Preface; Editors; Contributors; Prologue: Let the Data Speak!; Chapter 1: Some Prehistory of CARME: Visual Language and Visual Thinking; Chapter 2: Some History of Algebraic Canonical Forms and Data Analysis; Chapter 3: Historical Elements of Correspondence Analysis and Multiple Correspondence Analysis; Chapter 4: History of Nonlinear Principal Component Analysis; Chapter 5: History of Canonical Correspondence Analysis; Chapter 6: History of Multiway Component Analysis and Three-Way Correspondence Analysis.

Chapter 7: Past, Present, and Future of Multidimensional Scaling; Chapter 8: History of Cluster Analysis; Chapter 9: Simple Correspondence Analysis; Chapter 10: Distributional Equivalence and Linguistics; Chapter 11: Multiple Correspondence Analysis; Chapter 12: Structured Data Analysis; Chapter 13: Empirical Construction of Bourdieu's Social Space; Chapter 14: Multiple Factor Analysis:General Presentation and Comparison with STATIS; Chapter 15: Data Doubling and Fuzzy Coding; Chapter 16: Symbolic Data Analysis: A Factorial Approach Based on Fuzzy Coded Data.

Chapter 17: Group Average Linkage Compared to Ward's Method in Hierarchical Clusterin…

Subjects

Analyse des correspondances (Statistiqu… Corrélation multiple (statistique) Correspondence analysis (Statistics) Data Interpretation, Statistical Information visualization Multiple comparisons (Statistics) REFERENCE -- Questions & Answers Visualisation de l'information