Scenario A: Messy Retail Sales ExtractYou are analyzing a re…

Scenario A: Messy Retail Sales ExtractYou are analyzing a retail dataset with columns: date (string like “2025-03-01”) region (text with inconsistent capitalization and extra spaces) channel (“Online” or “Store”) price (numeric, may contain missing values) quantity (integer) Assume each row is an order line. You will clean the data and compute KPIs.A boxplot of order revenue by channel shows the Online box is higher with more high outliers. Best business interpretation?

Scenario B: Customer Churn Classification A subscription bus…

Scenario B: Customer Churn Classification A subscription business wants to predict whether a customer will churn (cancel) next month. Target: churn (1 = churned, 0 = stayed). The business cares more about catching likely churners than about occasionally flagging a loyal customer. This is primarily a: