1, Excel: It belongs to one of the three-piece suite of office and has many built-in functions. You can simply analyze the data and draw some basic charts, such as general scatter plot and data preprocessing, which are all done by Excel.

2, R language: R language needs a certain mathematical foundation of data analysis and R language programming, and the threshold is higher than Excel. R language is an open source project with strong statistical calculation and mapping ability, and it is an essential tool for big data analysis. R language is being used as the main tool for data analysis by most data analysts.

Eviews: This is a commonly used software of econometrics, and there are many economic-related topics in mathematical modeling. Use it to quickly calculate descriptive statistics: correlation coefficient, covariance, autocorrelation coefficient, cross-correlation coefficient and histogram. T test, variance analysis, cointegration test and Granger causality test are carried out.

4. Origin: This is a powerful mathematical graphic analysis tool. The software provides users with professional mathematical data analysis functions, supports dozens of 2D and 3D drawing templates, and also has high-end statistical analysis functions, 3D surface fitting, image processing and signal processing functions.

5.SPSS:SPSS is the leading statistical analysis and data mining software in the world, and it is also the data analysis software often used in mathematical modeling. Software operation is not difficult. Widely used in communication, medical care, banking, securities, insurance, manufacturing, commerce, market research, scientific research and education and other fields and industries.