electricsheepafrica/nigerian_energy_and_utilities_customer_complaints

# Nigerian Energy & Utilities – Customer Complaints

Complaint tickets with category, channel, resolution times, SLA flags, and outcomes.

- **[category]** Customer Experience
- **[rows]** ~100,000
- **[formats]** CSV + Parquet (snappy)
- **[geography]** Nigeria (DisCos, substations, plants)

## Schema

| column | dtype |

|---|---| | ticket_id | object | | customer_id | object | | disco | object | | category | object | | channel | object | | created_time | object | | resolved_time | object | | sla_met | bool | | outcome | object |

## Usage

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

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

## Notes

- Data generated with Nigeria-specific parameters (DisCos, tariff bands, 50 Hz grid)
- Time-of-use shapes and seasonal/weather effects included where applicable
- Values are internally consistent (e.g., kWh ~ kW*h; voltage/current ~ power)