| With the development of information technology and the rapid expansion of data volume,how to visualize a large amount of data and discover that the information contained in it has become a research key point in the field of data mining,so data visualization technology has emerged as the time required.In the field of enterprise information management,data visualization technology is often limited to simple chart presentation of data,lack of interaction with users,unable to create personalized charts through custom configuration data and lack of flexibility.In view of the above problems,the custom data visualization system of thermal power generation enterprises is realized with the data in the database of a thermal power enterprise as the research object,the structural design of data dictionary and chart file,and the data semantic analysis and chart matching as the research focus.In the design of the data dictionary,the data fields of the tables in the relational database are divided into coordinate type,classification-standard type,and concrete-data type,which implements the custom configuration of the data according to the semantics contained in the different field types.By classifying common statistical charts,the data structure of the data in the statistical charts is analyzed,and the automatic matching rules of the data structure and charts are established.In view of the problem that the interaction of statistical charts is not strong,in the process of statistical chart automation,interactive components are automatically generated according to the type of charts to improve the interactive effect and dynamic presentation of charts.Functional testing of the custom data visualization system and browser compatibility test show that the system can meet the user’s needs for custom configuration of data and automatically generating charts,enabling users to manage the created visualizations in the form of chart files,and improving the availability of the system. |
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