Why: real-world data are typically noisy, enormous in volume, and may originate from a hodgepodge of heterogeneous sources.
mean; median; mode(most common value); distribution;
Knowing such basic statistics regarding each attribute makes it easier to fill in missing values, smooth noisy values, and spot outliers during data preprocessing.