orders | order_id | user_id | price | created_at | |----------|---------|-------|------------| | 1 | 101 | 20.5 | 2024-01-01 | | 2 | 101 | 35.0 | 2024-01-03 | | 3 | 102 | 15.0 | 2024-01-02 | | 4 | 103 | 50.0 | 2024-01-04 | | 5 | 102 | 25.0 | 2024-01-05 | ##### Scenario E-commerce analytics team needs quick Python insights on recent orders dataset. ##### Question Using Python/pandas: a) For every user, return the order_id with the maximum price. b) Compute the overall average order price. c) For each calendar day, report total orders and average price. ##### Hints Think groupby, idxmax, agg, reset_index.