Skewness is a measure of how asymmetrical a distribution of data is. It tells us how much the individual data points differ from what we’d expect to see in a normal, or symmetrical, distribution. When visualized using a graph or chart, skewness is seen as a “long” tail on one side of the curve – either to the left (negative skewness) or the right (positive skewness). A good example of this would be income inequality: higher incomes tend to be distributed less evenly than lower ones, leading to a left-skewed graph. This type of skewness has important implications for business owners, as it can provide valuable insights into their customer base and help inform decisions related to pricing and marketing strategy.