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Research And Implementation Of Data Visualization Large Screen Construction Platform Based On Componentization

Posted on:2022-01-16Degree:MasterType:Thesis
Country:ChinaCandidate:T Y ZhangFull Text:PDF
GTID:2518306332967639Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
Data visualization large screen construction platform is a simple and easy-to-use one-stop service tool for non-professional data analysis engineers.Through automatic generation of data visualization large screen,the complex multi-source data can be visualized in a limited window for real-time dynamic panoramic display.However,due to the data visualization applications such as data visualization large screen have the characteristics of many display charts,complex data sources and dimensions,large data scale,and so on,most of the current data visualization large screen construction platforms still have problems and challenges such as poor platform scalability,page rendering delay,and weak dynamic interaction ability:1)There is still a lack of a complete and unified component-based standard architecture to standardize the development of data visualization applications,which makes the reusability and portability of components in the platform low and makes the platform difficult to expand;2)Data visualization charts often obtain large-scale chart data for rendering and redrawing,which easily leads to excessive pressure of network data transmission,long download time of data resources,slow loading of charts,and delay of rendering time of visualization pages;3)There is a lack of unified management of complex interaction between data charts,which can not solve the problem of the one-way flow of information in an all-round way,and has certain limitations for the improvement of the dynamic interactivity of large screen.In view of the above problems and challenges,this paper focuses on the front-end component technology,data visualization chart rendering optimization technology,and multi-view dynamic interaction technology,and completes the research and implementation of data visualization large screen construction platform based on component technology.The main research contents are as follows:1)A front-end component-based design method for data visualization large screen is proposed and implemented,which provides a unified component-based development criterion.Based on this,a rich visual chart component library with multi-tool integration is constructed,which supports the analysis and display of multi-type data,facilitates the rapid construction of multi-dimensional visual views,and improves the reuse of visual views Scalability and platform scalability;2)A web-based data visualization chart rendering optimization method is proposed and implemented,which optimizes the transmission of multi-source large-scale chart data,solves the real-time display of multi-source complex data,realizes real-time data analysis with low delay,thus shortening the page rendering time and improving the smoothness of large screen loading;3)A dynamic interactive event management method for multi-view linkage is designed and implemented,which establishes a complex interactive relationship network between visual views and realizes unified interactive event management.By deeply mining the associated information network behind the data,it realizes the all-round flow of information and enhances the dynamic interactive ability of the data visualization screen.Finally,the platform is applied to the national key research and development project "research and development of technology consulting technology and service platform based on big data",and a large screen display case of information industry visualization is constructed under the background of science and technology consulting,which verifies the effectiveness and practicability of the platform and method in this paper.
Keywords/Search Tags:data visualization large-screen, front-end componentization, large screen performance optimization, chart rendering optimization, large screen dynamic interaction
PDF Full Text Request
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