electricsheepafrica/nigerian_energy_and_utilities_billing_payments

# Nigerian Energy & Utilities – Billing & Payments

Monthly billing and payments with arrears and on-time payment flags.

- **[category]** Customer Experience
- **[rows]** ~200,000
- **[formats]** CSV + Parquet (snappy)
- **[geography]** Nigeria (DisCos, substations, plants)

## Schema

| column | dtype |

|---|---| | customer_id | object | | disco | object | | billing_month | object | | tariff_band | object | | kwh | float64 | | price_ngn_kwh | float64 | | amount_billed_ngn | float64 | | amount_paid_ngn | float64 | | paid_on_time | bool | | arrears_ngn | float64 |

## Usage

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

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