Kurtosis measures the concentration of data around the peak and in the tails versus the concentration in the flanks.
A kurtosis larger than 3 indicates a distribution that is more peaked and has heavier tails than a normal distribution with the same variance. A kurtosis smaller than 3 indicates a distribution that is flatter.
Kurtosis handles both numerical and symbolic data.