Skewness: Measures the asymmetry of a data

Skewness measures the asymmetry of a data distribution around its mean, whereas Kurtosis measures the "tailedness" or the sharpness of the peak of a data distribution. A comprehensive visual guide into skewness /kurtosis and how they effect distributions and ultimately, your data science project. These data are from experiments on wheat grass growth. Skewness in probability theory and statistics is a measure of the asymmetry of the probability distribution of a real -valued random variable about its mean. Similarly to kurtosis, it provides insights into characteristics of a distribution. This tutorial explains how to interpret skewness in statistics, including several examples.