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 basic situation of data.
2. Correlation analysis: Study the relationship between two or more variables by calculating correlation coefficients (such as Pearson correlation coefficient, Spearman rank correlation coefficient, etc.). ).
3. Regression analysis: This is a predictive data analysis method, which predicts the change of one variable (dependent variable) based on other variables (independent variables) by establishing a mathematical model.
4. Analysis of variance: This is a statistical method used to compare the differences between two or more groups, which is often used in experiments or observation studies.
5. Cluster analysis: This is a method of grouping similar objects, which is often used for exploratory data analysis and market segmentation.
6. Factor analysis: This is a method to find a few factors hidden behind a large number of observation data, which is often used to reduce the dimension of data.
7. Time series analysis: This is a method to study time series data, which is often used to predict future trends.
8. Text analysis: This is a method to extract useful information from a large number of text data, which is often used in natural language processing and social media analysis.
9. Network analysis: This is a method to study the network structure, which is often used for social network analysis and complex system modeling.
10. Machine learning and deep learning: This is a method of learning patterns from data by using algorithms, which is often used for tasks such as prediction, classification and clustering.