README.md

---
license: cc-by-4.0
language:
- en
task_categories:
- tabular-regression
- time-series-forecasting
multilinguality: monolingual
size_categories:
- n<1K
tags:
- tabular
- africa
- mauritius
- official-statistics
- open-data
- time-series
- energy
pretty_name: "Main Energy indicators, Republic of Mauritius, 2018-2024 - Percentage of renewables from total electricity generated | Africa (Mauritius official open data)"
---

# Main Energy indicators, Republic of Mauritius, 2018-2024 - Percentage of renewables from total electricity generated | Africa (Mauritius official open data)

7 observations - 1 Africa country - 2018-2024 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

![rows](https://img.shields.io/badge/rows-7-blue)
![countries](https://img.shields.io/badge/countries-1-green)
![years](https://img.shields.io/badge/years-2018-2024-orange)
![indicators](https://img.shields.io/badge/indicators-1-purple)
![license](https://img.shields.io/badge/license-cc-by-4.0-lightgrey)

## TL;DR

This dataset contains **7 observations** of `Main Energy indicators, Republic of Mauritius, 2018-2024 - Percentage of renewables from total electricity generated` data for
**Mauritius**, spanning **2018-2024**, normalized from an official open
data resource into ML-ready long-form Parquet.

## About the source

- **Source:** [Main Energy indicators, Republic of Mauritius, 2018-2024](https://data.govmu.org/dataset/main-energy-indicators-republic-of-mauritius-2018-2024)
- **Publisher:** MDPA
- **Resource:** [main_energy_indicators-republic-of-mauritius-2018-2024v.csv](https://data.govmu.org/dataset/e398d0b3-75e4-424c-89cb-cb2caa281e94/resource/0f445a42-d734-4293-a8ff-724efff02c29/download/main_energy_indicators-republic-of-mauritius-2018-2024v.csv)
- **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
- **Original value column:** `Percentage_of_renewables_from_total_electricity_generated`

## Geographic coverage

1 Africa country:

| Country | Rows | First year | Last year | Name |
|---------|-----:|-----------:|----------:|------|
| `MUS` | 7 | 2018 | 2024 | `Mauritius` |

## Indicators

- `main-energy-indicators-republic-of-mauritius-2018-2024-percentage-of-ren-c0a52054` - Main Energy indicators, Republic of Mauritius, 2018-2024 - Percentage of renewables from total electricity generated

## Dimensions

none

## Schema

| Column | Type | Description | Example |
|--------|------|-------------|---------|
| `indicator_id` | `object` | Stable indicator slug. | `main-energy-indicators-republic-of-mauritius-2018-2024-percentage-of-ren` |
| `indicator_name` | `object` | Human-readable indicator name. | `Main Energy indicators, Republic of Mauritius, 2018-2024 - Percentage of` |
| `country_iso3` | `object` | ISO3 country code. | `MUS` |
| `country_name` | `object` | Country name. | `Mauritius` |
| `year` | `Int64` | Observation year. | `2018` |
| `value` | `float64` | Numeric observation value. | `20.7` |
| `unit` | `object` | Measurement unit, when available. | `source_units_unspecified` |
| `source_provider` | `object` | Publishing organization. | `MDPA` |
| `source_dataset` | `object` | Source package title. | `Main Energy indicators, Republic of Mauritius, 2018-2024` |
| `source_resource` | `object` | Source resource title. | `main_energy_indicators-republic-of-mauritius-2018-2024v.csv` |
| `source_package_id` | `object` | - | `e398d0b3-75e4-424c-89cb-cb2caa281e94` |
| `source_resource_id` | `object` | - | `0f445a42-d734-4293-a8ff-724efff02c29` |
| `source_url` | `object` | Original resource URL. | `https://data.govmu.org/dataset/e398d0b3-75e4-424c-89cb-cb2caa281e94/reso` |
| `license_id` | `object` | Source license identifier. | `cc-by` |
| `retrieved_at` | `object` | UTC source retrieval timestamp. | `2026-07-16T18:12:36Z` |

## Usage

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-main-energy-indicators-republic-of-mauritius-2018-2024-percentag-c0a52054")
df = ds["train"].to_pandas()
print(df.head())
```

### Filter to one country

```python
sample_country = df[df["country_iso3"] == "MUS"]
```

### Time-series

```python
sample = df.sort_values("year")
sample.plot(x="year", y="value", title="main-energy-indicators-republic-of-mauritius-2018-2024-percentage-of-ren-c0a52054")
```

### Pivot by dimensions

```python
dimension_cols = [c for c in df.columns if c.startswith("dimension_")]
if dimension_cols:
    matrix = df.pivot_table(index="year", columns=dimension_cols, values="value")
    print(matrix.tail())
```

## Citation

```bibtex
@misc{electric_sheep_africa_africa_mauritius_main_energy_indicators_republic_of_mauritius_2018_2024_percentag_c0a520_2024,
  title        = {Main Energy indicators, Republic of Mauritius, 2018-2024 - Percentage of renewables from total electricity generated | Africa (Mauritius official open data)},
  author       = {MDPA},
  year         = {2024},
  url          = {https://data.govmu.org/dataset/main-energy-indicators-republic-of-mauritius-2018-2024},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-main-energy-indicators-republic-of-mauritius-2018-2024-percentag-c0a52054}}
}
```

## License

Released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).

Original data (c) MDPA. When using this dataset, please cite both the
original source above and the Electric Sheep Africa repackaging.

## About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified,
ML-ready data layer for Africa on Hugging Face. We pull data from authoritative
open sources, normalize the schemas, package as Parquet, and publish with
consistent dataset cards so researchers and developers can use `load_dataset()`
to start working in seconds.

Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica)

---

Provenance: ingested 2026-07-16 via the Electric Sheep pipeline. Source URL:
https://data.govmu.org/dataset/e398d0b3-75e4-424c-89cb-cb2caa281e94/resource/0f445a42-d734-4293-a8ff-724efff02c29/download/main_energy_indicators-republic-of-mauritius-2018-2024v.csv