A novel data visualization approach and scheme for supporting heterogeneous data

The structure of the data relationship is complex, and this complex relationship exists among multiple attributes, entity relations, entities and at-tributes, and even between the database. In this paper, we improve a visualization method. On the basis of the original visual structure, the visual structure is dynamically changed according to the user's needs. Besides, the relationships among entities can change dynamically, depending on the change of data. At the same time, we use the improving method to query the database instead of learning SQL. The method proposed in this paper is not limited by data set, and any data set can use the method. Finally, we plan to illustrate our approach on a software engineering data set. The results of our study will mainly show that when the user with little or no understanding of the data set structure, the process of exploring the data relationship can be deeply simplified for users to visually explore and understand the data.