electricsheepafrica/nigerian_transport_and_logistics_load_weight

# Nigeria Transport & Logistics – Load & Weight

Cargo mass, route distance, balance index, and axle overload flags per load.

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

## Schema

| column | dtype |

|---|---| | load_id | object | | vehicle_id | object | | vehicle_type | object | | cargo_mass_kg | float64 | | route_distance_km | float64 | | balance_index | float64 | | axle_overload | bool |

## Usage

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

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