Correspondence analysis is a descriptive/exploratory statistical technique designed to analyze simple two-way and multi-way tables containing a measure of correspondence between rows and columns. The results allow analysts to explore categorical variables. This book provides an introduction to the theory and applications of correspondence analysis, with an emphasis on data coding -- the first step in correspondence analysis. It features a practical presentation of the theory with a range of applications from data mining, financial engineering, and the biosciences. Implementation of the methods is presented using JAVA and R(S-Plus) software. The author also provides Web support for readers.