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Kendall's W can be calculated from these data.
Kendall's W is a normalization of the Friedman statistic between 0 and 1.
Kendall's W (also known as Kendall's coefficient of concordance) is a non-parametric statistic.
While tests using the standard Pearson correlation coefficient assume normally distributed values and compare two sequences of outcomes at a time, Kendall's W makes no assumptions regarding the nature of the probability distribution and can handle any number of distinct outcomes.