INTENTION-ORIENTED CLASSIFICATION OF THE VISUAL REPRESENTATION OF NUMERICAL DATA

抄録

Information visualization, the study of data analysis, manipulation, structure, information, and knowledge, and an approach to achieving appropriate visual display and representation, has significant meaning at present. It is a bridge by which to connect virtual information to actual understandable cognize. With the explosion of information in the modern world, information visualization has played an increasingly important role in many fields. In this research, we focused on a number of existing mainstream visualization display models taken from previous studies in order to develop a classification strategy for visual representations from the perspective of human intention. In the concluding section of this research, we propose the application of this model in terms of the data visualization process and its prospects in this regard.