1. Definition of the problem: define the research problem, formulate the research hypothesis or research goal, and determine the research object and data source.

2. Data collection: Collect relevant data through questionnaires, experiments and literature research to ensure the reliability and validity of the data.

3. Data cleaning: cleaning the collected data, including duplicate data deletion, missing value processing and abnormal value processing.

4. Data analysis: statistical analysis of the cleaned data, including descriptive statistical analysis, covariance analysis, regression analysis, etc.

5. Display of results: Display the analysis results in the form of charts and tables, and explain and evaluate the analysis results.

6. Conclusions and suggestions: According to the analysis results, give conclusions and suggestions, answer research questions and verify research hypotheses.

7. Discussion and prospect: discuss the research results, analyze their limitations and shortcomings, and look forward to the future research direction and development trend.