First of all, univariate analysis, you can choose chi-square test, because the independent variables you say are classified data, and then screen the independent variables that have an impact on the dependent variables; Then the selected independent variables are analyzed by multiple factors, such as Logistic regression analysis, and the influence of independent variables on dependent variables can be determined by stepwise regression. (The dependent variable here should be the opinion distribution. In chi-square test, gender, age and work are simultaneously transferred into column variables, and SPSS will give three contingency tables to find out the appropriate independent variables according to P value; Because the dependent variable is classified data, general linear regression is not feasible, while Logistic regression is more suitable for this kind of data, and the independent variable that contributes the most to the dependent variable can be found out.