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indicator_id
stringclasses
1 value
indicator_name
stringclasses
1 value
country_iso3
stringclasses
1 value
country_name
stringclasses
1 value
date
stringdate
1970-01-01 00:00:00
1970-01-01 00:00:00
year
int64
1.97k
1.97k
value
float64
63
84
unit
stringclasses
1 value
dimension_continent
stringclasses
5 values
source_provider
stringclasses
1 value
source_dataset
stringclasses
1 value
source_resource
stringclasses
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source_package_id
stringclasses
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source_resource_id
stringclasses
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2026-07-16 19:23:24
2026-07-16 19:23:24
distribution-of-tourists-by-hotel-and-non-hotel-tourists-for-selected-so-e1822da4
Distribution of tourists by hotel and non-hotel tourists for selected source markets by continents, 2023
MUS
Mauritius
1970-01-01
1,970
81.1
source_units_unspecified
Europe
MDPA
Distribution of tourists by hotel and non-hotel tourists for selected source markets by continents, 2023
CSV File
bc30ff1b-d80c-4b92-9018-6efe1efc5a5d
0da8c478-18b9-419e-881f-390e54eb6d3d
https://data.govmu.org/dataset/bc30ff1b-d80c-4b92-9018-6efe1efc5a5d/resource/0da8c478-18b9-419e-881f-390e54eb6d3d/download/table1.csv
cc-by
2026-07-16T19:23:24Z
distribution-of-tourists-by-hotel-and-non-hotel-tourists-for-selected-so-e1822da4
Distribution of tourists by hotel and non-hotel tourists for selected source markets by continents, 2023
MUS
Mauritius
1970-01-01
1,970
63
source_units_unspecified
Africa
MDPA
Distribution of tourists by hotel and non-hotel tourists for selected source markets by continents, 2023
CSV File
bc30ff1b-d80c-4b92-9018-6efe1efc5a5d
0da8c478-18b9-419e-881f-390e54eb6d3d
https://data.govmu.org/dataset/bc30ff1b-d80c-4b92-9018-6efe1efc5a5d/resource/0da8c478-18b9-419e-881f-390e54eb6d3d/download/table1.csv
cc-by
2026-07-16T19:23:24Z
distribution-of-tourists-by-hotel-and-non-hotel-tourists-for-selected-so-e1822da4
Distribution of tourists by hotel and non-hotel tourists for selected source markets by continents, 2023
MUS
Mauritius
1970-01-01
1,970
84
source_units_unspecified
Asia
MDPA
Distribution of tourists by hotel and non-hotel tourists for selected source markets by continents, 2023
CSV File
bc30ff1b-d80c-4b92-9018-6efe1efc5a5d
0da8c478-18b9-419e-881f-390e54eb6d3d
https://data.govmu.org/dataset/bc30ff1b-d80c-4b92-9018-6efe1efc5a5d/resource/0da8c478-18b9-419e-881f-390e54eb6d3d/download/table1.csv
cc-by
2026-07-16T19:23:24Z
distribution-of-tourists-by-hotel-and-non-hotel-tourists-for-selected-so-e1822da4
Distribution of tourists by hotel and non-hotel tourists for selected source markets by continents, 2023
MUS
Mauritius
1970-01-01
1,970
77.4
source_units_unspecified
Oceania
MDPA
Distribution of tourists by hotel and non-hotel tourists for selected source markets by continents, 2023
CSV File
bc30ff1b-d80c-4b92-9018-6efe1efc5a5d
0da8c478-18b9-419e-881f-390e54eb6d3d
https://data.govmu.org/dataset/bc30ff1b-d80c-4b92-9018-6efe1efc5a5d/resource/0da8c478-18b9-419e-881f-390e54eb6d3d/download/table1.csv
cc-by
2026-07-16T19:23:24Z
distribution-of-tourists-by-hotel-and-non-hotel-tourists-for-selected-so-e1822da4
Distribution of tourists by hotel and non-hotel tourists for selected source markets by continents, 2023
MUS
Mauritius
1970-01-01
1,970
69.4
source_units_unspecified
America
MDPA
Distribution of tourists by hotel and non-hotel tourists for selected source markets by continents, 2023
CSV File
bc30ff1b-d80c-4b92-9018-6efe1efc5a5d
0da8c478-18b9-419e-881f-390e54eb6d3d
https://data.govmu.org/dataset/bc30ff1b-d80c-4b92-9018-6efe1efc5a5d/resource/0da8c478-18b9-419e-881f-390e54eb6d3d/download/table1.csv
cc-by
2026-07-16T19:23:24Z

Distribution of tourists by hotel and non-hotel tourists for selected source markets by continents, 2023 | Africa (Mauritius official open data)

5 rows - 1 Africa country - 1970 - Repackaged by Electric Sheep Africa

rows countries years indicators license

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

Geographic coverage

1 Africa country:

Country Rows First year Last year Name
MUS 5 1970 1970 Mauritius

Indicators or Resource Contents

  • distribution-of-tourists-by-hotel-and-non-hotel-tourists-for-selected-so-e1822da4 - Distribution of tourists by hotel and non-hotel tourists for selected source markets by continents, 2023

Schema

Column Type Description Example
indicator_id object Stable indicator identifier. distribution-of-tourists-by-hotel-and-non-hotel-tourists-for-selected-so
indicator_name object Human-readable indicator name. Distribution of tourists by hotel and non-hotel tourists for selected so
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. 81.1
unit object Measurement unit, when available. source_units_unspecified
dimension_continent string Source dimension. Europe
source_provider object Publishing organization. MDPA
source_dataset object Source package title. Distribution of tourists by hotel and non-hotel tourists for selected so
source_resource object Source resource title. CSV File
source_package_id object CKAN package UUID. bc30ff1b-d80c-4b92-9018-6efe1efc5a5d
source_resource_id object CKAN resource UUID. 0da8c478-18b9-419e-881f-390e54eb6d3d
source_url object Original CSV URL. https://data.govmu.org/dataset/bc30ff1b-d80c-4b92-9018-6efe1efc5a5d/reso
license_id object Source license identifier. cc-by
retrieved_at object UTC retrieval timestamp. 2026-07-16T19:23:24Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-distribution-of-tourists-by-hotel-and-non-hotel-tourists-f-e62ae709")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

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

Work with indicators

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

@misc{electric_sheep_africa_africa_mauritius_distribution_of_tourists_by_hotel_and_non_hotel_tourists_f_e62a_1970,
  title        = {Distribution of tourists by hotel and non-hotel tourists for selected source markets by continents, 2023 | Africa (Mauritius official open data)},
  author       = {MDPA},
  year         = {1970},
  url          = {https://data.govmu.org/dataset/distribution-of-tourists-for-selected-source-markets-by-continents-2023},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-distribution-of-tourists-by-hotel-and-non-hotel-tourists-f-e62ae709}}
}

License

Released under CC 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


Provenance: ingested 2026-07-16 via the Electric Sheep pipeline. Source URL: https://data.govmu.org/dataset/bc30ff1b-d80c-4b92-9018-6efe1efc5a5d/resource/0da8c478-18b9-419e-881f-390e54eb6d3d/download/table1.csv

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