Datasets:

electricsheepafrica
/

africa-mauritius-air-seats-and-tourist-arrivals-2019-and-2022-2023-1732c085

+---
+license: cc-by-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
+- tourism
+pretty_name: "Air seats and tourist arrivals, 2019 and 2022 – 2023 | Africa (Mauritius official open data)"
+---
+# Air seats and tourist arrivals, 2019 and 2022 – 2023 | Africa (Mauritius official open data)
+6 rows - 1 Africa country - 1970 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
+![rows](https://img.shields.io/badge/rows-6-blue)
+![countries](https://img.shields.io/badge/countries-1-green)
+![years](https://img.shields.io/badge/years-1970-orange)
+![indicators](https://img.shields.io/badge/indicators-3-purple)
+![license](https://img.shields.io/badge/license-cc-by-4.0-lightgrey)
+## 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:** [Air seats and tourist arrivals, 2019 and 2022 – 2023](https://data.govmu.org/dataset/air-seats-and-tourist-arrivals-2019-and-2022-2023)
+- **Publisher:** MDPA
+- **Resource:** [CSV File](https://data.govmu.org/dataset/d82e6028-8927-42d1-8e4e-87a77bb89279/resource/fd78ecf3-6674-4925-a1b3-ffd77b4b61b1/download/table1.csv)
+- **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
+- **Packaging mode:** `indicator_long`
+## Geographic coverage
+1 Africa country:
+| Country | Rows | First year | Last year | Name |
+|---------|-----:|-----------:|----------:|------|
+| `MUS` | 6 | 1970 | 1970 | `Mauritius` |
+## Indicators or Resource Contents
+- `air-seats-and-tourist-arrivals-2019-and-2022-2023-d-2019-65356adc` - Air seats and tourist arrivals, 2019 and 2022 – 2023 - d 2019
+- `air-seats-and-tourist-arrivals-2019-and-2022-2023-d-2022-810ab914` - Air seats and tourist arrivals, 2019 and 2022 – 2023 - d 2022
+- `air-seats-and-tourist-arrivals-2019-and-2022-2023-d-2023-b932b7df` - Air seats and tourist arrivals, 2019 and 2022 – 2023 - d 2023
+## Schema
+| Column | Type | Description | Example |
+|--------|------|-------------|---------|
+| `indicator_id` | `object` | Stable indicator identifier. | `air-seats-and-tourist-arrivals-2019-and-2022-2023-d-2019-65356adc` |
+| `indicator_name` | `object` | Human-readable indicator name. | `Air seats and tourist arrivals, 2019 and 2022 – 2023 - d 2019` |
+| `country_iso3` | `object` | ISO3 country code. | `MUS` |
+| `country_name` | `object` | Country name. | `Mauritius` |
+| `date` | `string` | Observation date. | `1970-01-01` |
+| `year` | `Int64` | Observation year. | `1970` |
+| `value` | `float64` | Numeric observation value. | `2397287.0` |
+| `unit` | `object` | Measurement unit, when available. | `source_units_unspecified` |
+| `dimension_year` | `string` | Source dimension. | `Total air seats` |
+| `source_provider` | `object` | Publishing organization. | `MDPA` |
+| `source_dataset` | `object` | Source package title. | `Air seats and tourist arrivals, 2019 and 2022 – 2023` |
+| `source_resource` | `object` | Source resource title. | `CSV File` |
+| `source_package_id` | `object` | CKAN package UUID. | `d82e6028-8927-42d1-8e4e-87a77bb89279` |
+| `source_resource_id` | `object` | CKAN resource UUID. | `fd78ecf3-6674-4925-a1b3-ffd77b4b61b1` |
+| `source_url` | `object` | Original CSV URL. | `https://data.govmu.org/dataset/d82e6028-8927-42d1-8e4e-87a77bb89279/reso` |
+| `license_id` | `object` | Source license identifier. | `cc-by` |
+| `retrieved_at` | `object` | UTC retrieval timestamp. | `2026-07-16T19:23:24Z` |
+## Usage
+```python
+from datasets import load_dataset
+ds = load_dataset("electricsheepafrica/africa-mauritius-air-seats-and-tourist-arrivals-2019-and-2022-2023-1732c085")
+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_air_seats_and_tourist_arrivals_2019_and_2022_2023_1732c085_1970,
+  title        = {Air seats and tourist arrivals, 2019 and 2022 – 2023 | Africa (Mauritius official open data)},
+  author       = {MDPA},
+  year         = {1970},
+  url          = {https://data.govmu.org/dataset/air-seats-and-tourist-arrivals-2019-and-2022-2023},
+  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
+  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-air-seats-and-tourist-arrivals-2019-and-2022-2023-1732c085}}
+}
+```
+## 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/d82e6028-8927-42d1-8e4e-87a77bb89279/resource/fd78ecf3-6674-4925-a1b3-ffd77b4b61b1/download/table1.csv

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+{
+  "columns": [
+    "indicator_id",
+    "indicator_name",
+    "country_iso3",
+    "country_name",
+    "date",
+    "year",
+    "value",
+    "unit",
+    "dimension_year",
+    "source_provider",
+    "source_dataset",
+    "source_resource",
+    "source_package_id",
+    "source_resource_id",
+    "source_url",
+    "license_id",
+    "retrieved_at"
+  ],
+  "generated_at": "2026-07-16T19:37:25Z",
+  "indicator_count": 3,
+  "mode": "indicator_long",
+  "repo_id": "electricsheepafrica/africa-mauritius-air-seats-and-tourist-arrivals-2019-and-2022-2023-1732c085",
+  "rows": 6,
+  "source": {
+    "api_base_url": "https://data.govmu.org",
+    "country_iso3": "MUS",
+    "country_name": "Mauritius",
+    "group_names": "travel-and-tourism",
+    "license_id": "cc-by",
+    "license_title": "Creative Commons Attribution",
+    "license_url": "http://www.opendefinition.org/licenses/cc-by",
+    "organization_id": "fba989d1-7b9a-4338-901c-978558936a9b",
+    "organization_name": "mdpa",
+    "organization_title": "MDPA",
+    "package_author": "",
+    "package_id": "d82e6028-8927-42d1-8e4e-87a77bb89279",
+    "package_maintainer": "",
+    "package_metadata_created": "2025-09-04T10:56:09.025301",
+    "package_metadata_modified": "2026-04-14T17:53:14.521727",
+    "package_name": "air-seats-and-tourist-arrivals-2019-and-2022-2023",
+    "package_notes": "Dataset shows Air seats and tourist arrivals, 2019 and 2022 – 2023",
+    "package_page_url": "https://data.govmu.org/dataset/air-seats-and-tourist-arrivals-2019-and-2022-2023",
+    "package_private": "False",
+    "package_state": "active",
+    "package_title": "Air seats and tourist arrivals, 2019 and 2022 – 2023",
+    "package_version": "",
+    "portal_url": "https://data.govmu.org",
+    "resource_created": "2025-09-04T10:57:18.907332",
+    "resource_datastore_active": "True",
+    "resource_description": "",
+    "resource_format": "CSV",
+    "resource_hash": "2056e2522561dc0da3e28f4913eafd2d",
+    "resource_id": "fd78ecf3-6674-4925-a1b3-ffd77b4b61b1",
+    "resource_last_modified": "2025-09-04T10:57:18.856512",
+    "resource_mimetype": "text/csv",
+    "resource_name": "CSV File",
+    "resource_position": "2",
+    "resource_size": "130",
+    "resource_state": "active",
+    "resource_url": "https://data.govmu.org/dataset/d82e6028-8927-42d1-8e4e-87a77bb89279/resource/fd78ecf3-6674-4925-a1b3-ffd77b4b61b1/download/table1.csv",
+    "retrieved_at": "2026-07-16T17:57:00Z",
+    "tag_names": "Tourism; Tourist; accommodation; air seats; arrivals; facilities; hotel; passengers; rooms"
+  },
+  "year_max": 1970,
+  "year_min": 1970
+}