A complete hands-on guide to test Data Assumptions (MCAR, MAR, MNAR, Central Tendency, Skewness, and Outliers) in Python — Data Visualization and Statistics Most of our work around data involves 70% of Descriptive analytics, 10% Inquisitive analytics, and the remaining 20% is Predictive and Prescriptive analytics. Descriptive analytics can answer what is happening in the market. E.g., if we are working for a retail store, we would like to identify their month-on-month sales…