Design And Implementation Of Scalable Method For Data Visualization System Framework

With the rapid development of information science and technology,people are making and sharing of a variety of data every day,unknowingly living in the big data surrounded by.However,what is really meaningful to people is often not the data itself,but the knowledge behind the data,which makes the data available.Data visualization is a technology to let the data speak,which uses computer graphics and image processing technologies to convert data into graph or image to show in the screen that show the data and knowledge to users through graph or image.The computer technology develops all the time,and the emerging of all kinds of data visualization tools are also endless.According to the different functions provided,these visualization tools can be divided into three categories,the first category is the software for simple generic,such as Tableau,etc.;the second category is the software for specific areas,such as the financial field of visualization tools Dy graphs,map data tools Poly maps and so on.These two categories of data visualization tools are well developed and have a complete set of data visualization capabilities that users can use directly to get a visualization solution that allows for quick visualization,but the data format and the visual graphics are relatively fixed,the lack of corresponding scalability;the last one is a variety of visual function graphics library,such as D3,processing and other libraries.This kind of visualization tool is large,and has rich graphics and graphs,but developers need to develop programs on these libraries,users can not directly use the library to visualize.These powerful libraries are not available for the users.To solve the shortcomings of the above categories of visualization tools,this paper designs and implements a scalable data visualization system framework,which can realize the general data visualization process,including data import,algorithm selection,data mapping and visual display.The main work is the following:First,the design and implementation of a variety of format data file import methods and conversion models of point visual data,hierarchical visual data and network visual data;Second,the design and implementation of visualization algorithm interface standards and code edit platform,so that the user can edit the code according to the interface standards and save into the chart library;Third,the design and implementation of visualization of high-dimensional data,hierarchical data and network data,to enrich the visual chart library;Fourth,the design and implementation of visualization chart interaction and export.Through the work above,this paper designs and implements a simple and scalable data visualization solutions for ordinary users,so that users can customize depending on the different needs of different visualization solutions,data visualization becomes more simple and efficient.