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It seems there is only the correlation coefficient to understand relationships between variables.
Other than the PPScore I mentioned here, metrics like eta squared for finding associations between a categorical variable vs a numeric one, or Cramér's V to find associations between categorical variables could be introduced.
Then a simple bar plot could visualize the associations between a chosen variable as reference and the other ones, like the following one:
The text was updated successfully, but these errors were encountered:
It seems there is only the correlation coefficient to understand relationships between variables.
Other than the PPScore I mentioned here, metrics like eta squared for finding associations between a categorical variable vs a numeric one, or Cramér's V to find associations between categorical variables could be introduced.
Then a simple bar plot could visualize the associations between a chosen variable as reference and the other ones, like the following one:
The text was updated successfully, but these errors were encountered: