Data analysis is an important link in the research process, which involves sorting, processing and interpreting the collected data in order to extract valuable information from it. The following are some commonly used paper data analysis methods:

1. Descriptive statistical analysis: This is the most basic data analysis method, including calculating statistics such as average, median, mode and standard deviation, so as to understand the distribution of data.

2. Exploratory Data Analysis (EDA): This is a more in-depth data analysis method, which explores the internal structure and laws of data by drawing charts and calculating correlations.

3. Hypothesis test: This is a statistical inference method used to test whether the observed data supports a hypothesis. Common hypothesis tests include t test, chi-square test and f test.

4. Regression analysis: This is a predictive data analysis method, which predicts how one variable (dependent variable) changes with other variables (independent variables) by establishing a mathematical model.

5. Analysis of variance (ANOVA): This is a multi-factor analysis method used to compare the differences between two or more groups.

6. Cluster analysis: This is an unsupervised learning method used to group similar objects together.

7. Principal Component Analysis (PCA): This is a dimensionality reduction method, which is used to reduce the dimensionality of data while retaining as much information as possible.

8. Time series analysis: This is a method of analyzing time series data to predict future trends and patterns.

9. Text analysis: This is a method of processing text data, including word frequency statistics, sentiment analysis, theme modeling, etc.

10. Network analysis: This is a method to analyze the network structure, including node degree analysis and community detection.