Skewness

Skewness is a measure of the asymmetry of a probability distribution (or a pattern of values) around its mean. It is a measure of how much a given set of observations deviates from the symmetric normal distribution. Skewness has many application in data analysis. For example, in finance, skewness can help identify potential stock movements, and in public health, it can help identify population patterns in health outcomes. Skewness is an important metric for analyzing a dataset, as it helps to identify trends or patterns. It can also be used to identify outliers or values that are not normally distributed in a dataset. Understanding skewness can therefore provide insight into the dynamics of the data set.