Write SQL and Python, run instantly in your browser, and track your progress.
You are a Regional Logistics Analyst at Walmart. The supply chain team is analyzing shipment volumes to California and Texas, the two highest-volume states. They need a complete list of all orders shipped to these states to plan warehouse capacity and delivery routes.
Your task is to create a list that includes all orders to both states, keeping duplicates if any exist (for audit purposes).
| Column Name | Type |
|---|---|
| order_id | INTEGER |
| order_number | TEXT |
| customer_id | INTEGER |
You are a Regional Logistics Analyst at Walmart. The supply chain team is analyzing shipment volumes to California and Texas, the two highest-volume states. They need a complete list of all orders shipped to these states to plan warehouse capacity and delivery routes.
Your task is to create a list that includes all orders to both states, keeping duplicates if any exist (for audit purposes).
| Column Name | Type |
|---|---|
| order_id | INTEGER |
| order_number | TEXT |
| customer_id | INTEGER |
| order_datetime | TEXT |
| order_datetime | TEXT |
| status | TEXT |
| status | TEXT |
| fulfillment_type | TEXT |
| fulfillment_type | TEXT |
| ship_city | TEXT |
| ship_city | TEXT |
| ship_state | TEXT |
| ship_state | TEXT |
| ship_country | TEXT |
| ship_country | TEXT |
| shipping_service_level | TEXT |
| shipping_service_level | TEXT |
| subtotal | REAL |
| subtotal | REAL |
| shipping_fee | REAL |
| shipping_fee | REAL |
| tax | REAL |
| tax | REAL |
| discount | REAL |
| discount | REAL |
| total_amount | REAL |
| total_amount | REAL |
| payment_status | TEXT |
| payment_status | TEXT |
| created_at | TEXT |
| created_at | TEXT |
| order_id | order_number | customer_id | order_datetime | status | fulfillment_type | ship_city | ship_state | ship_country | shipping_service_level | subtotal | shipping_fee | tax | discount | total_amount |
|---|
| order_id | order_number | customer_id | order_datetime | status | fulfillment_type | ship_city | ship_state | ship_country | shipping_service_level | subtotal | shipping_fee | tax | discount | total_amount |
|---|
| order_id | ship_state | total_amount |
|---|---|---|
| 2 | TX | 662.48 |
| 13 | TX | 1823.7 |
| 20 | CA | 1201.97 |
| 21 | TX | 101.01 |
| 24 | CA | 1020.65 |
| order_id | ship_state | total_amount |
|---|---|---|
| 2 | TX | 662.48 |
| 13 | TX | 1823.7 |
| 20 | CA | 1201.97 |
| 21 | TX | 101.01 |
| 24 | CA | 1020.65 |
Showing first 5 of 11 rows. CA and TX orders combined with UNION ALL.
Showing first 5 of 11 rows. CA and TX orders combined with UNION ALL.
1. Output Columns:
2. Set Operation:
3. Ordering:
1. Output Columns:
2. Set Operation:
3. Ordering:
| payment_status |
|---|
| payment_status |
|---|
| created_at |
|---|
| created_at |
|---|
| 1 | ORD-10001 | 46 | 2025-08-20 07:01:34 | shipped | pickup | pickup | 50.96 | 0.0 | 4.36 | 0.0 | 55.32 | captured | 2025-08-20 07:01:34 | |||
| 2 | ORD-10002 | 19 | 2025-02-24 04:56:03 | delivered | ship |
| 1 | ORD-10001 | 46 | 2025-08-20 07:01:34 | shipped | pickup | pickup | 50.96 | 0.0 | 4.36 | 0.0 | 55.32 | captured | 2025-08-20 07:01:34 | |||
| 2 | ORD-10002 | 19 | 2025-02-24 04:56:03 | delivered | ship |
| Austin |
| Austin |
| TX |
| TX |
| US |
| US |
| economy |
| economy |
| 601.53 |
| 601.53 |
| 5.99 |
| 5.99 |
| 54.96 |
| 54.96 |
| 0.0 |
| 0.0 |
| 662.48 |
| 662.48 |
| partial_refund |
| partial_refund |
| 2025-02-24 04:56:03 |
| 2025-02-24 04:56:03 |
| 3 | ORD-10003 | 21 | 2025-02-13 17:43:43 | shipped | ship | London | ENG | UK | expedited | 68.26 | 14.99 | 5.41 | 0.0 | 88.66 | captured | 2025-02-13 17:43:43 |
| 3 | ORD-10003 | 21 | 2025-02-13 17:43:43 | shipped | ship | London | ENG | UK | expedited | 68.26 | 14.99 | 5.41 | 0.0 | 88.66 | captured | 2025-02-13 17:43:43 |
| 4 | ORD-10004 | 8 | 2025-02-07 13:00:50 | shipped | ship | Calgary | AB | CA | standard | 290.99 | 5.0 | 26.88 | 0.0 | 322.87 | captured | 2025-02-07 13:00:50 |
| 4 | ORD-10004 | 8 | 2025-02-07 13:00:50 | shipped | ship | Calgary | AB | CA | standard | 290.99 | 5.0 | 26.88 | 0.0 | 322.87 | captured | 2025-02-07 13:00:50 |
| 5 | ORD-10005 | 8 | 2025-06-24 03:59:58 | packed | ship | Edmonton | AB | CA | standard | 569.61 | 5.0 | 54.73 | 0.0 | 629.34 | captured | 2025-06-24 03:59:58 |
| 5 | ORD-10005 | 8 | 2025-06-24 03:59:58 | packed | ship | Edmonton | AB | CA | standard | 569.61 | 5.0 | 54.73 | 0.0 | 629.34 | captured | 2025-06-24 03:59:58 |