Survey data analysis involves the collection, organization, and interpretation of data gathered through surveys or questionnaires. Researchers use various statistical techniques to analyze the data and draw conclusions about the population being studied. This analysis can provide valuable insights into trends, attitudes, and behaviors within a specific group or population. Common methods used in survey data analysis include descriptive statistics, correlation analysis, regression analysis, and factor analysis. Overall, survey data analysis is essential for understanding and interpreting the results of surveys and drawing meaningful conclusions from the data collected.