Research On Data Visualization Technology Of E-commerce System

In the era of information explosion, people contact with a large number of surplus information.They feel too busy to deal with a lot of information. The raw data that has not been processed is not attractive enough to the human. How to make the large data sets kindly and easy to understand is a question. Fortunately, human’s perception of graph or images is sensitive, and they can understand the meaning behind the figure from the graphic image. To this aspect, data visualization is becoming the best way for people to communicate with each other.In the context of big data, how to demonstrate the complex data effectively, what kind of graphics technology can be used, and how to enhance the user’s data interaction need to be solved urgently. On the one hand, the static picture sent by remote servers is hard to restore the original data and its user interaction is very poor. On the other hand, the researchers’ understanding of data visualization is different and relatively chaotic.So there is no clear about it, Researchers who are engaged in data visualization or engaged in visualization of data insdustry have different explanation on it. The core theoretical basis and research method is still in the exploratory stage.To solve the problems above, this paper takes the project of " Donghua-Suit E-commerce system " as the background. Firstly,it introduces the research theory of data visualization, the principle about the design of data visualization, the related technology of software development, the basic chart and characteristics of data visualization. Secondly, the method of software development process based on data visualization system for the E-commerce analysis, gives the design scheme of key issues target and design framework of the whole architecture and project development project. Among them, using the visualization analysis of the user’s purchase preference module as an example, the control layer, service layer, data access layer class diagram and sequence diagram are designed in detail. Then, aiming at the data of E-commerce system,this paper research on the structure and feature and realize the fron-end visualization layer and the backend logic layer. By asynchronous on-demand loading of the data visualization, the performance of the data visualization and the user’s interactive experience are improved. At last, this paper analyzes the regional analysis of users, thepreference of the users’ favors and the relationship of commodity price and its sales,and gives the results of data visualization. Above all,it provides a comprehensive platform for shopping, data analysis and data visualization for the next generation of E-commerce system.