Describe how you would solve a live data manipulation task in pandas when given a dataset and specific output requirements.
For this SQL version, use the supplied relational data and produce the required summary. Include qualifying records from 2025, treat missing amounts as zero in the final totals, and retain entities without qualifying records.
entity_id, entity_name, completed_count, completed_amount, and activity_statecompleted_amount descending, then entity_id ascending| Column | Type | Description |
|---|---|---|
| entity_idPK | INT | Unique entity identifier |
| entity_name | VARCHAR(100) | Entity display name |
| Column | Type | Description |
|---|---|---|
| row_idPK | INT | Unique dataset row identifier |
| entity_id | INT | Referenced entity identifier |
| event_date | DATE | Date associated with the row |
| status | VARCHAR(20) | Row processing status |
| amount | DECIMAL(12,2) | Amount associated with the row |