In the context of data analysis for a machine learning project, you are tasked with summarizing the central tendency, dispersion, and shape of a dataset's distribution to understand its underlying patterns before model selection. The dataset includes numerical features with varying scales and some outliers. Considering the need for a comprehensive summary that includes measures like mean, median, standard deviation, and skewness, which statistical method should you employ? Choose the best option.