| --- |
| license: cc-by-sa-4.0 |
| language: |
| - en |
| task_categories: |
| - tabular-regression |
| - time-series-forecasting |
| multilinguality: monolingual |
| size_categories: |
| - n<1K |
| tags: |
| - tabular |
| - csv |
| - africa |
| - mauritius |
| - official-statistics |
| - open-data |
| - energy |
| pretty_name: "Sales of electricity by type of tariff | Africa (Mauritius official open data)" |
| --- |
| |
| # Sales of electricity by type of tariff | Africa (Mauritius official open data) |
|
|
| 40 rows - 1 Africa country - 2017-2021 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica) |
|
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|
|
| ## TL;DR |
|
|
| This dataset packages one official CSV resource from **Mauritius** as |
| ML-ready Parquet. The CSV is the provenance boundary; all usable indicators or |
| tabular columns from the source file stay together in this repo. |
|
|
| ## About the source |
|
|
| - **Source:** [Sales of electricity by type of tariff](https://data.govmu.org/dataset/sales-electricity-type-tariff) |
| - **Publisher:** MDPA |
| - **Resource:** [Sales-of-electricity-by-type-of-tariff-2017-2021.csv](https://data.govmu.org/dataset/89d7ecdc-fff6-4dce-a4a0-7edcc597b5c7/resource/fcfec910-0b34-4505-a2a2-d2a0f184af41/download/sales-of-electricity-by-type-of-tariff-2017-2021.csv) |
| - **License:** [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) |
| - **Packaging mode:** `indicator_long` |
|
|
| ## Geographic coverage |
|
|
| 1 Africa country: |
|
|
| | Country | Rows | First year | Last year | Name | |
| |---------|-----:|-----------:|----------:|------| |
| | `MUS` | 40 | 2017 | 2021 | `Mauritius` | |
|
|
| ## Indicators or Resource Contents |
|
|
| - `sales-of-electricity-by-type-of-tariff-sales-87e5c027` - Sales of electricity by type of tariff - sales |
| - `sales-of-electricity-by-type-of-tariff-no-of-consumers-8d7fb54e` - Sales of electricity by type of tariff - no of consumers |
|
|
| ## Schema |
|
|
| | Column | Type | Description | Example | |
| |--------|------|-------------|---------| |
| | `indicator_id` | `object` | Stable indicator identifier. | `sales-of-electricity-by-type-of-tariff-sales-87e5c027` | |
| | `indicator_name` | `object` | Human-readable indicator name. | `Sales of electricity by type of tariff - sales` | |
| | `country_iso3` | `object` | ISO3 country code. | `MUS` | |
| | `country_name` | `object` | Country name. | `Mauritius` | |
| | `year` | `Int64` | Observation year. | `2017` | |
| | `value` | `float64` | Numeric observation value. | `872.7` | |
| | `unit` | `object` | Measurement unit, when available. | `source_units_unspecified` | |
| | `dimension_type_of_tarrif` | `string` | Source dimension. | `Domestic` | |
| | `source_provider` | `object` | Publishing organization. | `MDPA` | |
| | `source_dataset` | `object` | Source package title. | `Sales of electricity by type of tariff` | |
| | `source_resource` | `object` | Source resource title. | `Sales-of-electricity-by-type-of-tariff-2017-2021.csv` | |
| | `source_package_id` | `object` | CKAN package UUID. | `89d7ecdc-fff6-4dce-a4a0-7edcc597b5c7` | |
| | `source_resource_id` | `object` | CKAN resource UUID. | `fcfec910-0b34-4505-a2a2-d2a0f184af41` | |
| | `source_url` | `object` | Original CSV URL. | `https://data.govmu.org/dataset/89d7ecdc-fff6-4dce-a4a0-7edcc597b5c7/reso` | |
| | `license_id` | `object` | Source license identifier. | `CC-BY-SA-4.0` | |
| | `retrieved_at` | `object` | UTC retrieval timestamp. | `2026-07-16T19:23:24Z` | |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("electricsheepafrica/africa-mauritius-sales-of-electricity-by-type-of-tariff-8e98e883") |
| df = ds["train"].to_pandas() |
| print(df.head()) |
| ``` |
|
|
| ### Filter to one country |
|
|
| ```python |
| sample_country = df[df["country_iso3"] == "MUS"] |
| ``` |
|
|
| ### Work with indicators |
|
|
| ```python |
| if "indicator_id" in df.columns: |
| print(df["indicator_id"].value_counts().head()) |
| sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns]) |
| ``` |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{electric_sheep_africa_africa_mauritius_sales_of_electricity_by_type_of_tariff_8e98e883_2021, |
| title = {Sales of electricity by type of tariff | Africa (Mauritius official open data)}, |
| author = {MDPA}, |
| year = {2021}, |
| url = {https://data.govmu.org/dataset/sales-electricity-type-tariff}, |
| publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa}, |
| howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-sales-of-electricity-by-type-of-tariff-8e98e883}} |
| } |
| ``` |
|
|
| ## License |
|
|
| Released under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/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/89d7ecdc-fff6-4dce-a4a0-7edcc597b5c7/resource/fcfec910-0b34-4505-a2a2-d2a0f184af41/download/sales-of-electricity-by-type-of-tariff-2017-2021.csv |
|
|
