Application Research Of Big Data Visualization Technology In Air Pollution Prevention Audit

Data is now an important asset in the audit business.How to use big data technology to extract valuable information from massive and complex data is the core of big data auditing.In the air pollution prevention audit,the characteristics of various types and large volumes of audit data make data analysis in such audit projects extremely difficult.Auditors need a lot of time and effort to deal with data,and big data analysis results are often difficult to understand,also it is difficult to dig into the problem.The big data visualization technology studied in this paper can analyze the data on the basis of the graphical interface and present the structure and characteristics of the audit data more intuitively,helping auditors to solve the above big data analysis problems.At present,the application research of big data visualization technology in air pollution prevention audit is in the preliminary exploration stage in both audit theory and audit practice.Therefore,the research in this paper can help promote the application and development of visualization technology in air pollution prevention audit,and has theoretical and practical significance for the future advancement of visual audit work.Based on the analysis of current situation of air pollution prevention,this paper analyzes the basic content,the existing deficiencies and the traditional audit tools used of air pollution prevention audit.And after that,expounds the importance,advantages,scope and difficulties of the application of visualization technology in air pollution prevention audit.By comparing the traditional audit tools and big data visualization tools in the air pollution prevention audit,the paper analyzes the superiority and applicability of the visual tool R language in this type of auditing,and proposes a visual audit model based on the R language platform.In order to verify the feasibility and effectiveness of the visual audit mode,and to explore the application method of visualization technology in air pollution prevention audit,this paper conducts in-depth research through the real case of air pollution prevention audit.First,use the map visualization to determine the audit focus area;then,use the density map and histogram to analyze the change of air quality and the regional pollution level of a city from 2015 to 2017;After that,use the time series chart to explore the reason and the hidden laws of the city's air pollution;Finally,for the possible existence of data falsification phenomenon,use the combination of scatter plot and line graph to analyze audit anomalies.This paper uses the visual tool R language,combined with the real case of air pollution prevention audit,to study the application of big data visualization technology in this type of audit,in order to help auditors get rid of obscure data analysis methods and abstract data analysis results,and visually explore the hidden information behind the data and improve the efficiency and effectiveness of the audit.At the same time,it indicates that the research in this paper not only helps to promote the exploration and practice of visualization technology in air pollution prevention audit,but also expands the research perspective of air pollution prevention audit,expands the selection scope of auditing tools,and provides a reference for the application of visualization technology in general auditing in the future.