electricsheepafrica/nigerian_transport_and_logistics_marine_weather_navigation

# Nigeria Transport & Logistics – Marine Weather & Navigation

Marine areas with wind, waves, visibility, currents over time.

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

## Schema

| column | dtype |

|---|---| | timestamp | object | | area | object | | wind_knots | float64 | | wave_height_m | float64 | | visibility_km | float64 | | current_knots | float64 |

## Usage

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

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