--- 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 - health configs: - config_name: default data_files: - split: train path: data/train-00000-of-00001.parquet pretty_name: "Admissions due to certain respiratory diseases by sex in government general hospitals | Africa (Mauritius official open data)" --- # Admissions due to certain respiratory diseases by sex in government general hospitals | Africa (Mauritius official open data) 60 rows - 1 Africa country - 2015-2021 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica) ![rows](https://img.shields.io/badge/rows-60-blue) ![countries](https://img.shields.io/badge/countries-1-green) ![years](https://img.shields.io/badge/years-2015-2021-orange) ![indicators](https://img.shields.io/badge/indicators-1-purple) ![license](https://img.shields.io/badge/license-cc-by-sa-4.0-lightgrey) ## TL;DR This dataset packages one official `CSV` resource from **Mauritius** as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo. ## About the source - **Source:** [Admissions due to certain respiratory diseases by sex in government general hospitals](https://data.govmu.org/dataset/admissions-due-certain-respiratory-diseases-sex-government-general-hospitals) - **Publisher:** MDPA - **Resource:** [Dataset_6.csv](https://data.govmu.org/dataset/9796ea43-36c3-49c0-81e6-ab33b55fed1c/resource/775ef1bd-4858-4d1c-a72d-54af2be52702/download/dataset_6.csv) - **Format:** `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 | |---------|-----:|-----------:|----------:|------| | `MU` | 60 | 2015 | 2021 | `Mauritius` | ## Indicators or Resource Contents - `admissions-due-to-certain-respiratory-diseases-by-sex-in-government-gene-05a69bfa` - Admissions due to certain respiratory diseases by sex in government general hospitals ## Schema | Column | Type | Description | Example | |--------|------|-------------|---------| | `indicator_id` | `string` | Stable indicator identifier. | `admissions-due-to-certain-respiratory-diseases-by-sex-in-government-gene` | | `indicator_name` | `string` | Human-readable indicator name. | `Admissions due to certain respiratory diseases by sex in government gene` | | `country_iso3` | `string` | ISO3 country code. | `MU` | | `country_name` | `string` | Country name. | `Mauritius` | | `year` | `Int64` | Observation year. | `2015` | | `value` | `float64` | Numeric observation value. | `2918.0` | | `unit` | `string` | Measurement unit, when available. | `source_units_unspecified` | | `dimension_disease` | `string` | Source dimension. | `Acute upper respiratory infections` | | `dimension_gender` | `string` | Source dimension. | `Male` | | `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2015` | | `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2021` | | `source_period_label` | `category` | Human-readable period inferred from source resource metadata. | `2015-2021` | | `source_provider` | `category` | Publishing organization. | `MDPA` | | `source_dataset` | `category` | Source package title. | `Admissions due to certain respiratory diseases by sex in government gene` | | `source_resource` | `category` | Source resource title. | `Dataset_6.csv` | | `source_package_id` | `category` | CKAN package UUID. | `9796ea43-36c3-49c0-81e6-ab33b55fed1c` | | `source_resource_id` | `category` | CKAN resource UUID. | `775ef1bd-4858-4d1c-a72d-54af2be52702` | | `source_url` | `category` | Original source resource URL. | `https://data.govmu.org/dataset/9796ea43-36c3-49c0-81e6-ab33b55fed1c/reso` | | `license_id` | `category` | Source license identifier. | `CC-BY-SA-4.0` | | `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-08T16:26:20Z` | ## Usage ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-mauritius-admissions-due-to-certain-respiratory-diseases-by-sex-in-g-6bf75d42") df = ds["train"].to_pandas() print(df.head()) ``` ### Filter to one country ```python sample_country = df[df["country_iso3"] == "MU"] ``` ### 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_admissions_due_to_certain_respiratory_diseases_by_sex_in_g_6bf7_2021, title = {Admissions due to certain respiratory diseases by sex in government general hospitals | Africa (Mauritius official open data)}, author = {MDPA}, year = {2021}, url = {https://data.govmu.org/dataset/admissions-due-certain-respiratory-diseases-sex-government-general-hospitals}, publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa}, howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-admissions-due-to-certain-respiratory-diseases-by-sex-in-g-6bf75d42}} } ``` ## 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 2026-08-08 via the Electric Sheep pipeline. Source URL: https://data.govmu.org/dataset/9796ea43-36c3-49c0-81e6-ab33b55fed1c/resource/775ef1bd-4858-4d1c-a72d-54af2be52702/download/dataset_6.csv