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.