electricsheepafrica/nigerian_transport_and_logistics_parking

# Nigeria Transport & Logistics – Parking Data

Facility capacity/occupancy over time with violations per timestamp.

- **[category]** Traffic & Mobility Systems
- **[rows]** ~120,000
- **[formats]** CSV + Parquet (snappy)
- **[geography]** Nigeria (major cities, corridors, ports, airports)

## Schema

| column | dtype |

|---|---| | facility_id | object | | city | object | | timestamp | object | | capacity | int64 | | occupied | int64 | | occupancy_pct | float64 | | violation_count | int64 |

## Usage

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

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