electricsheepafrica/nigerian_transport_and_logistics_port_shipping

# Nigeria Transport & Logistics – Port & Shipping

Vessel arrivals/departures, dwell time, containers handled, berth.

- **[category]** Aviation & Maritime Logistics
- **[rows]** ~140,000
- **[formats]** CSV + Parquet (snappy)
- **[geography]** Nigeria (major cities, corridors, ports, airports)

## Schema

| column | dtype |

|---|---| | vessel_id | object | | imo | object | | port | object | | arrival | object | | departure | object | | dwell_hours | float64 | | containers_handled | int64 | | berth | object |

## Usage

```python
import pandas as pd
df = pd.read_parquet('data/nigerian_transport_and_logistics_port_shipping/nigerian_transport_and_logistics_port_shipping.parquet')
df.head()
```

```python
from datasets import load_dataset
ds = load_dataset('electricsheepafrica/nigerian_transport_and_logistics_port_shipping')
ds
```

## Notes

- Nigeria-specific parameters (fleets, roads, traffic, fuel prices)
- Time-of-day traffic effects and seasonal impacts where applicable
- Physical plausibility checks embedded during generation