As a data professional, one of the critical tasks in any analytics project is to explore the data to get a summarized view of its distributions and patterns.
During this process, you probably have encountered varying distributions of the data. One of the phenomena often found in data distributions is skewness.
So, what is skewness? Well, this is what we want to look into in this article by understanding what it is, different types of skewness, and how to interpret it in a data analysis task.