Visualization and Verbalization of Data (Hardcover)

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.

《資料的視覺化與口述化》展示了對應分析和相關技術如何以圖形形式顯示資料，從而對資料結構進行口述化。該領域的知名研究人員追溯了這些技術的歷史並介紹了它們的當前應用。

本書的第一部分解釋了對應分析及其相關方法的歷史起源。第二部分則集中介紹了讓-保羅·本澤克里（Jean-Paul Benzécri）學派及其相關運動（如社會空間和幾何數據分析）所做出的貢獻。儘管這些主題是從法國的角度來看的，但本書使其對國際讀者易於理解。

在全書中，知名專家們以實際應用來說明這些方法的使用。例子包括多變量資料的空間視覺化、計算機科學中的聚類分析、將文本資料集轉換為數值資料、在多因素分析中使用定量和定性變數、在視覺化之前對資料進行重新編碼的不同可能性，以及對列聯表進行二元對偶圖理論分析的應用。