electricsheepafrica/nigerian_transport_and_logistics_reverse_logistics

# Nigeria Transport & Logistics – Reverse Logistics

Return reasons, refunds, reroute costs and restockability per return.

- **[category]** Logistics & Supply Chain
- **[rows]** ~130,000
- **[formats]** CSV + Parquet (snappy)
- **[geography]** Nigeria (major cities, corridors, ports, airports)

## Schema

| column | dtype |

|---|---| | return_id | object | | order_id | object | | reason | object | | pickup_time | object | | refund_ngn | float64 | | reroute_cost_ngn | float64 | | restockable | bool |

## Usage

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

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