electricsheepafrica/africa-mauritius-tourist-arrivals-by-month-for-mauritius-d47284bd

Tourist Arrivals by Month for Mauritius | Africa (MDPA)

34 rows - 1 Africa country/area - 1974-2021 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 34 rows from MDPA, covering Tourist Arrivals by Month for Mauritius. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Official statistics datasets help analysts inspect public data as published by governments, national statistical systems, and regional data portals.

Source-provided context: Dataset refers to Tourist Arrivals by Month for Mauritius for the year 1974 - 2021

How To Read This Dataset

• One row means: one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
• Primary geography column: country_iso3.
• Best time column: not detected.
• Time coverage basis: source metadata.
• Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension	Value
Rows	34
Countries/areas	1
First period	1974
Last period	2021
Indicators	0
Columns	67
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MU	34	1974	2021	Mauritius

Indicators, Variables, Or Resource Contents

• This repo preserves one source tabular resource with its usable columns kept together.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier assigned during Electric Sheep Africa engineering.	32d25de3-7b89-4959-81a3-8e002f490a67:concepts-and-definitions:0
country_iso3	dictionary<values=string, indices=int8, ordered=0>	ISO3 country or area code.	MU
country_name	dictionary<values=string, indices=int8, ordered=0>	Country or area name.	Mauritius
source_sheet	string	Source column from the original resource.	Concepts and definitions
d_1	double	Source column from the original resource.	2.0
tourist	string	Source column from the original resource.	Tourist nights
a_tourist_is_defined_as_a_non_resident_staying_overnight	string	Source column from the original resource.	Prior to 2010, the number of tourist nights for year Y included: (a) ...
source_period_start_year	int64	Start year inferred from source metadata.	1974
source_period_end_year	int64	End year inferred from source metadata.	2021
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	1974-2021
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.	Tourist Arrivals by Month for Mauritius
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Source-Tourist-Arrivals-by-Month-for-Mauritius.xlsx
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	1e96fbc4-1b25-4693-8b53-bf285301c734
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	32d25de3-7b89-4959-81a3-8e002f490a67
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.govmu.org/dataset/1e96fbc4-1b25-4693-8b53-bf285301c734/r...
license_id	dictionary<values=string, indices=int8, ordered=0>	Source license identifier.	CC-BY-SA-4.0
retrieved_at	dictionary<values=string, indices=int8, ordered=0>	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-08-08T16:26:20Z
month_of_arrival	string	Source column from the original resource.	``
1974	double	Source column from the original resource.	``
1975	double	Source column from the original resource.	``
1976	double	Source column from the original resource.	``
1977	double	Source column from the original resource.	``
1978	double	Source column from the original resource.	``
1979	double	Source column from the original resource.	``
1980	double	Source column from the original resource.	``
1981	double	Source column from the original resource.	``
1982	double	Source column from the original resource.	``
1983	double	Source column from the original resource.	``
1984	double	Source column from the original resource.	``
1985	double	Source column from the original resource.	``
1986	double	Source column from the original resource.	``
1987	double	Source column from the original resource.	``
1988	double	Source column from the original resource.	``
1989	double	Source column from the original resource.	``
1990	double	Source column from the original resource.	``
1991	double	Source column from the original resource.	``
1992	double	Source column from the original resource.	``
1993	double	Source column from the original resource.	``
1994	double	Source column from the original resource.	``
1995	double	Source column from the original resource.	``
1996	double	Source column from the original resource.	``
1997	double	Source column from the original resource.	``
1998	double	Source column from the original resource.	``
1999	double	Source column from the original resource.	``
2000	double	Source column from the original resource.	``
2001	double	Source column from the original resource.	``
2002	double	Source column from the original resource.	``
2003	double	Source column from the original resource.	``
2004	double	Source column from the original resource.	``
2005	double	Source column from the original resource.	``
2006	double	Source column from the original resource.	``
2007	double	Source column from the original resource.	``
2008	double	Source column from the original resource.	``
2009	double	Source column from the original resource.	``
2010	double	Source column from the original resource.	``
2011	double	Source column from the original resource.	``
2012	double	Source column from the original resource.	``
2013	double	Source column from the original resource.	``
2014	double	Source column from the original resource.	``
2015	double	Source column from the original resource.	``
2016	double	Source column from the original resource.	``
2017	double	Source column from the original resource.	``
2018	double	Source column from the original resource.	``
2019	double	Source column from the original resource.	``
2020	double	Source column from the original resource.	``
2021	double	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-tourist-arrivals-by-month-for-mauritius-d47284bd")
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

• No canonical year/date column was detected in the packaged table; use source metadata and domain context for temporal interpretation.
• 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

• Source: MDPA
• Publisher: MDPA
• Portal: https://data.govmu.org
• Resource: Source-Tourist-Arrivals-by-Month-for-Mauritius.xlsx
• License: CC BY-SA 4.0
• Retrieved/generated: 2026-08-08T17:12:30Z
• Hugging Face repo: electricsheepafrica/africa-mauritius-tourist-arrivals-by-month-for-mauritius-d47284bd

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

• Profile the distribution of values
• Compare categories or geographies
• Join with complementary public datasets
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_mauritius_tourist_arrivals_by_month_for_mauritius_d47284bd_2021,
  title        = {Tourist Arrivals by Month for Mauritius | Africa (MDPA)},
  author       = {MDPA},
  year         = {2021},
  url          = {https://data.govmu.org/dataset/tourist-arrivals-month-mauritius},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-tourist-arrivals-by-month-for-mauritius-d47284bd}}
}

License

Released under CC BY-SA 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.

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Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.govmu.org/dataset/tourist-arrivals-month-mauritius