electricsheepafrica/nigerian_transport_and_logistics_delivery_satisfaction

# Nigeria Transport & Logistics – Delivery Satisfaction

Order delivery satisfaction rating, NPS and issue type, with on-time flag.

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

## Schema

| column | dtype |

|---|---| | order_id | object | | delivery_time | object | | on_time | bool | | satisfaction_rating | int64 | | nps | int64 | | issue_type | object |

## Usage

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

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