electricsheepafrica/nigerian_transport_and_logistics_tpl_partner_performance

# Nigeria Transport & Logistics – 3PL Partner Performance

Monthly partner performance: on-time %, damages, delays, SLA breaches.

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

## Schema

| column | dtype |

|---|---| | partner_id | object | | month | object | | shipments | int64 | | on_time_pct | float64 | | damage_rate_pct | float64 | | avg_delay_h | float64 | | sla_breaches | int64 |

## Usage

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

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