Design Of Data Visualization Based On Java EE And Main Functions Realization

With the continuous development and innovation of information technology,all kinds of information system construction and application gradually to the number of data as the center,pay more attention to data based on the analysis and application.Data visualization is an important means of data analysis application,which has the obvious advantages of revealing the data characteristics and facilitating people to summarize and understand the hidden rules behind the data.Data visualization tools have become a very important support function in information systems.Based on the mainstream Java EE platform,this thesis designs a set of easy-to-integrate data visualization platform framework,and implements the main function modules of the platform.The main work of this thesis is as follows:(1)Introduced the basic concept of data visualization,combined with visualization platform analysis of web-based data visualization technology,data integration technology,the development platform and Java EE platform framework and other related basic technologies were summarized.(2)Through the analysis of various mainstream data visualization tools and application system integration at home and abroad,this thesis summarizes the design and implementation problems of the current data visualization tools in the application system integration process.(3)Combined with the summary of the problem,based on Java EE data visualization platform for demand analysis and overall design,planning the system function module and platform deployment environment.(4)Design and implement the main function modules in the data visualization platform,including the design and implementation of multi-source data integration,multi-type visualization integration and visual support service function.(5)Combined with the actual application system to verify the functionality of the data visualization platform.The Java EE-based data visualization platform designed and implemented in this thesis can help to reduce the technical threshold of data visualization function development in various application systems and improve the post-maintenance and upgrade cost of application data visualization.