Visualization of the Questionnaire Result by the Association Rule Using the Correspondence Analysis

Abstract

The information that customer dataset usually provides is the personal surface information including gender, age and hometown. However, we can obtain personal internal information by analyzing questionnaire responses. In this paper, we proposed a visualization method that combined association analysis with correspondence analysis, it can find about difference of internal characteristics of six layers of gender and age.