# Nigeria Transport & Logistics – ETA Accuracy
Predicted vs actual ETA with minute error and related trip identifiers.
- **[category]** Customer & Service
- **[rows]** ~130,000
- **[formats]** CSV + Parquet (snappy)
- **[geography]** Nigeria (major cities, corridors, ports, airports)
## Schema
| column | dtype |
|---|---|
| order_id | object |
| route_id | object |
| predicted_eta | object |
| actual_eta | object |
| eta_error_min | int64 |
## Usage
```python
import pandas as pd