There is Market Basket Analysis as a technique to determine which products sell together; moreover, there is Decision Tree (Classification Tree) technique to specify the common character of the customers who purchase a certain product. And, on the other hand, positioning methods are frequently applied to detect the relation between some products and customers. In this paper, we'll take up Correspondence Analysis (CA) as a typical one in positioning methods for discussion. CA is a technique that summarizes the structure of data and makes perceptual mapping. The benefit of CA lies in its unique abilities for representing rows and columns, for example, products and purchasers, in joint space. Therefore, we think that it is the most useful technique to examine the relation between products and purchasers. So, we'll show the improved analysis in order to examine the relation between products and the purchasers more delicately.