Describe how you used a data set and what tools you used to analyze it and what decisions did you make as a result of it. Using the supplied products and orders tables, write a PostgreSQL query that produces a decision-oriented category analysis for completed orders from January through March 2025.
category, total_revenue, order_count, revenue_share_pct, and decision.decision to Prioritize when category revenue is at least the average category revenue; otherwise set it to Review.total_revenue descending, breaking ties alphabetically by category.| Column | Type | Description |
|---|---|---|
| product_idPK | INT | Unique product identifier |
| product_name | VARCHAR(100) | Product name |
| category | VARCHAR(50) | Product category |
| Column | Type | Description |
|---|---|---|
| order_idPK | INT | Unique order identifier |
| product_id | INT | Product included in the order |
| order_date | DATE | Order date |
| quantity | INT | Units ordered |
| unit_price | NUMERIC(10,2) | Price per unit |
| status | VARCHAR(20) | Order processing status |