A Kruskal-Wallis test indicates whether the values of three or more numeric columns tend to differ in size. If the values are drawn from distributions having the same shape but different locations across columns, the Kruskal-Wallis test can be interpreted as a test of whether the column medians are equal. It is an extension of the Mann-Whitney test (which applies to only two columns).
To perform a Kruskal-Wallis test:
Note that even if the observed medians are equal across columns, the Kruskal-Wallis test can indicate that the population medians are not equal. This is most likely due to the distribution of values differing across columns.