Collinearity between continuous and categorical variable
You could just regress against any given variable.
You could also generate a matrix of correlation metrics. Depending on the variable type, you would need a different metric. Here are some common ones:

Numeric-Numeric: Pearson's Correlation Coefficient

For rank correlation, you can use Spearman's Rank Correlation Coefficient


Nominal-Nominal: Cramér's V

For two categories, this is equivalent to the Pearson Phi Coefficient


Numeric-Nominal: t-test for 2 variables or ANOVA for more than 2

You can also just regress against them. For example, logistic regression between age and sex could suffice.