Q-Q plot for skewness and kurtosis
A QQ plot is a scatterplot created by plotting two sets of quantiles against one another, t tells us whether a data set is normally distributed.
Q-Q plot skewness for %Diabetic and %Inactive.
The graph above shows over-dispersed data or positive excess kurtosis, data appears as a flipped S shape. The smallest observations are smaller than you would expect from a normal distribution, the largest observations are larger than you would expect from a normal distribution both relative to normal distribution.
Q-Q plot kurtosis for %Diabetic and %Inactive.
The graph shows that the data is left skewed distribution, on a Q-Q plot left-skewed data appears as a concave curve, the upper tail of the data’s distribution has been reduced, relative to a normal distribution.