Data visualization is a scientific and technical research on data visualization. Among them, the visual expression of the data is defined as a kind of information extracted in a certain summary form, including various attributes and variables of the corresponding information unit. [ 1]

This is an evolving concept, and its scope is constantly expanding. Mainly refers to the more advanced technical methods, and these technical methods allow the use of graphics, image processing, computer vision and user interface, through the expression, modeling and display of entities, surfaces, attributes and animations, to intuitively explain data. Compared with special technical methods such as three-dimensional modeling, data visualization covers a much wider range of technical methods.

2. Information visualization

Information visualization is an interdisciplinary field, which aims to study the visual presentation of large-scale non-numerical information resources, such as numerous files or line-by-line program codes in software systems, and to help people understand and analyze data by using graphics and image technologies and methods. Compared with scientific visualization, information visualization focuses on abstract data sets, such as unstructured texts or points in high-dimensional space (these points do not have inherent two-dimensional or three-dimensional geometric structures).