it enables technical personnel to p

it enables technical personnel to present the correlation between data clearly in the engineering of economic statistics, so as to effectively improve the efficiency of economic statistics.2.2 Decision tree methodThe key to the use of big data analysis in economic statistics lies in the rational use of decision tree method. As one of the economic models for data prediction and analysis, decision tree method is often used in statistical theory as the support of related theories. The use of decision tree method is to clearly reflect the process of prediction and decision-making through the tree diagram of the problem conditions, occurrence probability and prediction results that people need to make decisions. At the same time, when using the decision tree method in economic statistics, technicians need to find out the useful information in big data, and effectively analyze the information, so as to provide users with corresponding reference data. In addition, the advantages of decision-making method include simple operation and fast classification, which can meet the analysis of big data projects to the greatest extent. Therefore, in the economic statistics, the rational use of decision tree method can enhance the accuracy and effectiveness of economic statistics. And it can also effectively analyze uncertain economic factors in a new way, so as to ensure the accuracy of economic statistics, further optimize the reliability of economic decision-making, and provide a strong reference for economic development.2.3 Genetic calculation methodIn economic statistics, the use of big data analysis requires rational use of genetic calculation methods. The so-called genetic calculation method is an algorithm formed after the fusion of genetic mechanism and biological natural selectivity, which can obtain data information of a specific population and analyze the information effectively [2]. When considering the use of genetic calculations as the basis for big data analysis, technical personnel should understand that genetic calculations are applicable to specific populations and perform effective analysis after obtaining specific population information data. In addition, when dealing with big data problems, special supporting software and hardware should be used to construct a network environment, and a reasonable network environment should be created on the basis of the cloud computing environment. At the same time, the data information can be strengthened in the process , so that the value of the information itself can be improved. Furthermore, the use of genetic calculation method can promote the solution of complex economic statistics problems, and help to dig deeper into deeper information, and further promote the improvement of economic statistics.3. ConclusionFrom the above, we know that with the rapid development of social economy, the level of information technology in our country is also constantly