Differentiate between descriptive, predictive, and prescriptive analytics, and provide examples of how each is applied in real-world scenarios.

1. Descriptive Analytics: Descriptive analytics deals with understanding historical data and providing insights into what has happened in the past. It involves summarizing and visualizing data to identify patterns, trends, and anomalies. Descriptive analytics aims to answer questions like "What happened?" or "What is the current state?" Real-world Example: In retail, descriptive analytics can be used to analyze historical sales data to understand which products have been the best-sellers over the past year. This analysis helps retailers identify popular products and plan inventory accordingly. 2. Predictive Analytics: Predictive analytics uses historical data and statistical modeling techniques to make prediction....