Abstract: Researchers in the daily study often use Excel,Spss and other tools to analyze and process the data to obtain the knowledge of relevant field.However,with the arrival of large data age,due to constraints of stand-alone performance,general data processing software cannot meet the needs of researchers for large data analysis and processing.Large data processing and visualization are inseparable from the distributed computing environment.Therefore,in order to complete the rapid processing and visualization of large data,researchers not only need to purchase and maintain a distributed cluster environment,but also need to be able to program in a distributed environment and master the corresponding front-end data visualization technology.It is very difficult and unnecessary for many non-computer science data analysis workers.In view of the above problems,this paper presented a Web-based lightweight large data processing and visualization tool.Using this tool,data analysis workers can easily open a large data file(GB level) in the browser,quickly locate the file,sort the contents of the file and visualize it through a simple click and drag.At last,a correspon-ding empirical study was carried out to prove the effiectiveness of this solution.

Key words: ata analysis, Big data, Data visualization, Distributed system, Parallel computation