When performing a statistical analysis, understanding the shape of data is important for good interpretation and further decision making. If you fail to identify potential outliers in a dataset, all models that might come out of it might be wrong and non usable, leading to wrong results. In this article, I’m tackling the topic of skewness and kurtosis and why is it important in statistical analysis.