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indicator_id
string
indicator_name
string
country_iso3
string
country_name
string
year
int64
value
float64
unit
string
dimension_year
string
source_period_start_year
int64
source_period_end_year
int64
source_period_label
string
source_provider
string
source_dataset
string
source_resource
string
source_package_id
string
source_resource_id
string
source_url
string
license_id
string
retrieved_at
string
licences-issued-per-clubs-and-pubs-by-the-tourist-authority-2023-2024-e84e4722
Licences issued per clubs and pubs by the tourist authority 2023 & 2024
MU
Mauritius
2,023
17
source_units_unspecified
Nightclub
2,023
2,024
2023-2024
MDPA
Licences issued per clubs and pubs by the tourist authority 2023 & 2024
CSV File
1b33ddd8-365c-42ab-832c-e9903a1ba8b0
abc00c06-5b72-4265-bbc8-b8376e700420
https://data.govmu.org/dataset/1b33ddd8-365c-42ab-832c-e9903a1ba8b0/resource/abc00c06-5b72-4265-bbc8-b8376e700420/download/table1.csv
cc-by
2026-08-08T16:26:20Z
licences-issued-per-clubs-and-pubs-by-the-tourist-authority-2023-2024-e84e4722
Licences issued per clubs and pubs by the tourist authority 2023 & 2024
MU
Mauritius
2,023
6
source_units_unspecified
Private club
2,023
2,024
2023-2024
MDPA
Licences issued per clubs and pubs by the tourist authority 2023 & 2024
CSV File
1b33ddd8-365c-42ab-832c-e9903a1ba8b0
abc00c06-5b72-4265-bbc8-b8376e700420
https://data.govmu.org/dataset/1b33ddd8-365c-42ab-832c-e9903a1ba8b0/resource/abc00c06-5b72-4265-bbc8-b8376e700420/download/table1.csv
cc-by
2026-08-08T16:26:20Z
licences-issued-per-clubs-and-pubs-by-the-tourist-authority-2023-2024-e84e4722
Licences issued per clubs and pubs by the tourist authority 2023 & 2024
MU
Mauritius
2,023
8
source_units_unspecified
Pub
2,023
2,024
2023-2024
MDPA
Licences issued per clubs and pubs by the tourist authority 2023 & 2024
CSV File
1b33ddd8-365c-42ab-832c-e9903a1ba8b0
abc00c06-5b72-4265-bbc8-b8376e700420
https://data.govmu.org/dataset/1b33ddd8-365c-42ab-832c-e9903a1ba8b0/resource/abc00c06-5b72-4265-bbc8-b8376e700420/download/table1.csv
cc-by
2026-08-08T16:26:20Z
licences-issued-per-clubs-and-pubs-by-the-tourist-authority-2023-2024-e84e4722
Licences issued per clubs and pubs by the tourist authority 2023 & 2024
MU
Mauritius
2,024
17
source_units_unspecified
Nightclub
2,023
2,024
2023-2024
MDPA
Licences issued per clubs and pubs by the tourist authority 2023 & 2024
CSV File
1b33ddd8-365c-42ab-832c-e9903a1ba8b0
abc00c06-5b72-4265-bbc8-b8376e700420
https://data.govmu.org/dataset/1b33ddd8-365c-42ab-832c-e9903a1ba8b0/resource/abc00c06-5b72-4265-bbc8-b8376e700420/download/table1.csv
cc-by
2026-08-08T16:26:20Z
licences-issued-per-clubs-and-pubs-by-the-tourist-authority-2023-2024-e84e4722
Licences issued per clubs and pubs by the tourist authority 2023 & 2024
MU
Mauritius
2,024
5
source_units_unspecified
Private club
2,023
2,024
2023-2024
MDPA
Licences issued per clubs and pubs by the tourist authority 2023 & 2024
CSV File
1b33ddd8-365c-42ab-832c-e9903a1ba8b0
abc00c06-5b72-4265-bbc8-b8376e700420
https://data.govmu.org/dataset/1b33ddd8-365c-42ab-832c-e9903a1ba8b0/resource/abc00c06-5b72-4265-bbc8-b8376e700420/download/table1.csv
cc-by
2026-08-08T16:26:20Z
licences-issued-per-clubs-and-pubs-by-the-tourist-authority-2023-2024-e84e4722
Licences issued per clubs and pubs by the tourist authority 2023 & 2024
MU
Mauritius
2,024
9
source_units_unspecified
Pub
2,023
2,024
2023-2024
MDPA
Licences issued per clubs and pubs by the tourist authority 2023 & 2024
CSV File
1b33ddd8-365c-42ab-832c-e9903a1ba8b0
abc00c06-5b72-4265-bbc8-b8376e700420
https://data.govmu.org/dataset/1b33ddd8-365c-42ab-832c-e9903a1ba8b0/resource/abc00c06-5b72-4265-bbc8-b8376e700420/download/table1.csv
cc-by
2026-08-08T16:26:20Z

Licences Issued Per Clubs and Pubs by the Tourist Authorit | Africa (MDPA)

6 rows - 1 Africa country/area - 2023-2024 - 1 indicator - Engineered by Electric Sheep Africa

rows countries period indicators license

TL;DR

This dataset contains 6 rows from MDPA, covering Licences Issued Per Clubs and Pubs by the Tourist Authorit. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Transport datasets help analysts examine mobility, infrastructure, passenger movement, logistics, and access to services.

Source-provided context: Dataset shows Licences issued per clubs and pubs by the tourist authority 2023 & 2024

How To Read This Dataset

  • One row means: one indicator observation for one geography, time period, and optional source dimensions.
  • Primary geography column: country_iso3.
  • Best time column: year.
  • Time coverage basis: year.
  • Recommended join keys: country_iso3, year, indicator_id.

Coverage

Dimension Value
Rows 6
Countries/areas 1
First period 2023
Last period 2024
Indicators 1
Columns 19
Source format CSV

Geographic Coverage

Top areas shown below, sorted by row count when available:

Area Rows First year Last year Name
MU 6 2023 2024 Mauritius

Indicators, Variables, Or Resource Contents

  • licences-issued-per-clubs-and-pubs-by-the-tourist-authority-2023-2024-e84e4722 - Licences issued per clubs and pubs by the tourist authority 2023 & 2024(source_units_unspecified)

Schema

Column Type Description Example
indicator_id string Stable source or Electric Sheep Africa indicator identifier. licences-issued-per-clubs-and-pubs-by-the-tourist-authority-2023-2024...
indicator_name string Human-readable indicator name. Licences issued per clubs and pubs by the tourist authority 2023 & 2024
country_iso3 string ISO3 country or area code. MU
country_name string Country or area name. Mauritius
year int64 Observation year. 2023
value double Numeric observation value. 17.0
unit string Measurement unit, when supplied by the source. source_units_unspecified
dimension_year string Source dimension retained during long-form normalization. Nightclub
source_period_start_year int64 Start year inferred from source metadata. 2023
source_period_end_year int64 End year inferred from source metadata. 2024
source_period_label dictionary<values=string, indices=int8, ordered=0> Source column from the original resource. 2023-2024
source_provider dictionary<values=string, indices=int8, ordered=0> Publishing organization. MDPA
source_dataset dictionary<values=string, indices=int8, ordered=0> Source dataset or package title. Licences issued per clubs and pubs by the tourist authority 2023 & 2024
source_resource dictionary<values=string, indices=int8, ordered=0> Source resource title, table name, or file name. CSV File
source_package_id dictionary<values=string, indices=int8, ordered=0> Source package identifier. 1b33ddd8-365c-42ab-832c-e9903a1ba8b0
source_resource_id dictionary<values=string, indices=int8, ordered=0> Source resource identifier. abc00c06-5b72-4265-bbc8-b8376e700420
source_url dictionary<values=string, indices=int8, ordered=0> Original source URL or download URL. https://data.govmu.org/dataset/1b33ddd8-365c-42ab-832c-e9903a1ba8b0/r...
license_id dictionary<values=string, indices=int8, ordered=0> Source license identifier. cc-by
retrieved_at dictionary<values=string, indices=int8, ordered=0> UTC source retrieval timestamp from the Electric Sheep Africa pipeline. 2026-08-08T16:26:20Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-licences-issued-per-clubs-and-pubs-by-the-tourist-authorit-e84e4722")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

print(df.info())
print(df.head())

Filter By Geography

if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "MU"]

Time-Series Pattern

if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

  • Canonical time field: year.
  • Missing values are preserved rather than silently imputed.
  • Column names are standardized for machine use; source meanings are preserved where known.
  • Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

Transformations Applied

  • Converted the source table to Parquet for efficient analytics and ML workflows.
  • Added or preserved source provenance columns where available.
  • Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
  • Preserved source-reported values without analytical imputation.

Suggested Analyses

  • Track mobility over time
  • Compare routes or geographies
  • Join with economic and population data
  • Build time-series views and period-over-period comparisons
  • Pivot to geography x period or indicator x period matrices
  • Check missingness before modeling
  • Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_mauritius_licences_issued_per_clubs_and_pubs_by_the_tourist_authorit_e84e_2024,
  title        = {Licences Issued Per Clubs and Pubs by the Tourist Authorit | Africa (MDPA)},
  author       = {MDPA},
  year         = {2024},
  url          = {https://data.govmu.org/dataset/licences-issued-per-clubs-and-pubs-by-the-tourist-authority-2023-2024},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-licences-issued-per-clubs-and-pubs-by-the-tourist-authorit-e84e4722}}
}

License

Released under CC BY 4.0.

Original data is published by MDPA. Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.


Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.govmu.org/dataset/licences-issued-per-clubs-and-pubs-by-the-tourist-authority-2023-2024

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