The visualization of relationship of age and gender to multiple choice questions

Abstract

The information that customer data usually provides is the personal surface information including the sex, age and hometown. But, we can obtain personal internal information by analyzing questionnaire data. This paper, we propose the visualization that combined association analysis with correspondence analysis, it can find about difference of internal characteristic of six layers.