Design And Implement Of Automatic Graphic Inference Technology In Intelligent Visualization System

Visualization technology has rapid development in recently years. It can not only pretty intuitive to show the relationship between data, but also the more important thing is that to help data analysts and managers for making quick decisions. However, existing large data visualization platform technology which can support the exploration of large data is relatively backward. Each data exploration related to the different people, which need to consume a great deal of time cost. At present, the research and development of this technology in China is just beginning.Based on the above observation, this paper presents and implements a intelligent visualization system which make data to be rapidly explored. Propose and solve two key technical problems,1) How to visualize high dimensional multivariate data intelligently; 2) How to visual encoding the user specified information.How to solve the first problem of high dimensional multivariate data visualization. This paper combined with the table lens and original data pivot table concept, unified table algebraic to formulate the user input information. How to solve the second problem? This paper inference the chart type from the data type. And according to the expression and effective to determine the visual encoding detail.This paper presents the technology and the subsystem has been applied in the Netease online education products.It make great contribution to the company.