What is the between skewness and kurtosis?

While skewness is the measure of symmetry, or if one would like to be more precise, the lack of symmetry, kurtosis is a measure of data that is either peaked or flat relative to a normal distribution of a data set.

* Skewness:

A distribution is symmetric if both the left and right sides are the same relative to the center point.

* Kurtosis: A data set that tends to have a distant peak near the mean value, have heavy tails, or decline rapidly is a measure of high kurtosis.

Data sets with low Kurtosis would obviously be opposite with a flat mean at the top, and a distribution that is uniform.