electricsheepafrica/nigerian_transport_and_logistics_customer_support_logs

# Nigeria Transport & Logistics – Customer Support Logs

Support tickets across channels with handle time, status and CSAT.

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

## Schema

| column | dtype |

|---|---| | ticket_id | object | | customer_id | object | | channel | object | | issue_type | object | | created_time | object | | resolved_time | object | | handle_time_min | int64 | | status | object | | csat | int64 |

## Usage

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

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