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Visualization and Verbalization of Data

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advanced multivariate visualization techniques
analysis
Burt Matrix
Burt Table
canonical
Canonical Correlation Analysis
Canonical Correspondence Analysis
Category=JMB
Category=PBT
Category=UFM
Category=UGB
Category=UN
cluster analysis in computer science
Coinertia Analysis
Column Profiles
component
contingency
correspondence
correspondence analysis
Data Set
data visualization
De Leeuw
displaying data in graphical form
Dual Scaling
Duality Diagram
empirical social space construction
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Fuzzy Coding
Generalized Canonical Analysis
geometric data modeling
hierarchical clustering methods
Indicator Matrix
Jan De Leeuw
Jean-Paul Benzecri
MCA
multiple
multivariate statistical analysis
Multiway Analyses
Nonlinear PCA
principal
quantitative and qualitative variables in multiple factor analysis
quantitative qualitative integration
Row Profile
RV Coefficient
Simple Correspondence Analysis
singular
social space and geometric data analysis
SPAD
spatial visualization of multivariate data
symbolic data analysis
table
Ter Braak
Ultrametric Distance
value
verbalization of structures in data
Vice Versa

Product details

  • ISBN 9781466589803
  • Weight: 890g
  • Dimensions: 156 x 234mm
  • Publication Date: 10 Apr 2014
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Description

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.

The first part of the book explains the historical origins of correspondence analysis and associated methods. The second part concentrates on the contributions made by the school of Jean-Paul Benzécri and related movements, such as social space and geometric data analysis. Although these topics are viewed from a French perspective, the book makes them understandable to an international audience.

Throughout the text, well-known experts illustrate the use of the methods in practice. 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, different possibilities of recoding data prior to visualization, and the application of duality diagram theory to the analysis of a contingency table.
About
Jorg Blasius, Michael Greenacre