Descriptive statistical analysis should describe the relevant data of all variables in the survey population, including frequency analysis, centralized trend analysis, dispersion degree analysis, distribution and some basic statistical charts. ① Frequency analysis of data. In the preprocessing part of data, frequency analysis and cross-frequency analysis can be used to test outliers. ② Centralized trend analysis of data. Used to reflect the overall level of data, commonly used indicators are average, median and mode. ③ Data dispersion analysis. Mainly used to reflect the degree of difference between data, commonly used indicators are variance and standard deviation. ④ Distribution of data. In statistical analysis, it is usually assumed that the distribution of the sample population belongs to normal distribution, so it is necessary to use skewness and kurtosis to test whether the sample data conforms to normal distribution. ⑤ Draw a statistical chart. It is clearer and more concise to express data in the form of graphics than in words. In SPSS software, you can easily draw statistical charts of various variables, including bar charts, pie charts and line charts.