electricsheepafrica/africa-mauritius-earnings-and-value-added-of-the-tourism-sector-5c358d8e

Earnings and Value Added of the Tourism Sector | Africa (MDPA)

796 rows - 1 Africa country/area - 1980-2022 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 796 rows from MDPA, covering Earnings and Value Added of the Tourism Sector. 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 shows Tourism Earnings, % contribution to GDP and Value Added (at current basic prices) of the Tourism Sector as from 1983

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: year.
• Time coverage basis: year.
• Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension	Value
Rows	796
Countries/areas	1
First period	1980
Last period	2022
Indicators	0
Columns	194
Source format	XLS

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MU	796	1980	2022	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.	3420c2ad-6b29-4021-9c78-df2cbfc7d3a7:table-of-contents: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.	Table of contents
year	double	Observation year.	1983.0
d_5a	string	Source column from the original resource.	5b
tourist_arrivals_by_country_of_residence_1983_2012	string	Source column from the original resource.	Tourist arrivals by country of residence (covering a wider range of c...
source_period_start_year	int64	Start year inferred from source metadata.	1983
source_period_end_year	int64	End year inferred from source metadata.	1983
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	1983
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.	Earnings and Value Added of the Tourism Sector
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	HS_Tourism_Yr22_250523_0.xls
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	bf849e4c-49ca-4c54-8d9f-a05710082cab
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	3420c2ad-6b29-4021-9c78-df2cbfc7d3a7
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.govmu.org/dataset/bf849e4c-49ca-4c54-8d9f-a05710082cab/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
d_1	double	Source column from the original resource.	``
tourist	string	Source column from the original resource.	``
a_tourist_is_defined_as_a_non_resident_staying_overnight	string	Source column from the original resource.	``
1980	double	Source column from the original resource.	``
d_163230	double	Source column from the original resource.	``
d_167269	double	Source column from the original resource.	``
d_6042	string	Source column from the original resource.	``
d_5722	double	Source column from the original resource.	``
country_of_disembarkation	string	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.	``
2022	double	Source column from the original resource.	``
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.	``
1981	double	Source column from the original resource.	``
1982	double	Source column from the original resource.	``
country_of_residence	string	Source column from the original resource.	``
europe	string	Source column from the original resource.	``
d_547061	double	Source column from the original resource.	``
d_570684	double	Source column from the original resource.	``
d_631627	double	Source column from the original resource.	``
d_734506	double	Source column from the original resource.	``
d_780209	double	Source column from the original resource.	``
d_824334	double	Source column from the original resource.	``
d_835946	double	Source column from the original resource.	``
d_207641	double	Source column from the original resource.	``
d_145812	double	Source column from the original resource.	``
d_674511	double	Source column from the original resource.	``
d_55_1	double	Source column from the original resource.	``
d_55	double	Source column from the original resource.	``
d_54_9	double	Source column from the original resource.	``
d_57_6	double	Source column from the original resource.	``
d_58_1	double	Source column from the original resource.	``
d_58_9	double	Source column from the original resource.	``
d_60_4	double	Source column from the original resource.	``
d_67_2	double	Source column from the original resource.	``
d_81_1	double	Source column from the original resource.	``
d_67_6	double	Source column from the original resource.	``
tourism_earnings_1_rs_million	double	Source column from the original resource.	``
value_added_2_rs_million	string	Source column from the original resource.	``
contribution_to_gdp_2	string	Source column from the original resource.	``
food_service	double	Source column from the original resource.	``
hotels	double	Source column from the original resource.	``
travel_other_services_2	double	Source column from the original resource.	``
total_tourism_industry	double	Source column from the original resource.	``
d_470	double	Source column from the original resource.	``
d_114610	double	Source column from the original resource.	``
d_115080	double	Source column from the original resource.	``
d_1301730	double	Source column from the original resource.	``
d_43	double	Source column from the original resource.	``
d_4000	double	Source column from the original resource.	``
september	string	Source column from the original resource.	``
d_66_8	double	Source column from the original resource.	``
d_56_8	string	Source column from the original resource.	``
d_82_9	double	Source column from the original resource.	``
d_74_4	double	Source column from the original resource.	``
d_84_9	double	Source column from the original resource.	``
d_75_9	double	Source column from the original resource.	``
d_81	double	Source column from the original resource.	``
d_73_4	double	Source column from the original resource.	``
d_74_5	double	Source column from the original resource.	``
d_67_4	double	Source column from the original resource.	``
d_63_9	double	Source column from the original resource.	``
d_59_1	double	Source column from the original resource.	``
d_67_9	double	Source column from the original resource.	``
d_63_5	double	Source column from the original resource.	``
d_72_3	double	Source column from the original resource.	``
d_66_5	double	Source column from the original resource.	``
d_76	double	Source column from the original resource.	``
d_71	double	Source column from the original resource.	``
d_73	double	Source column from the original resource.	``
d_67	double	Source column from the original resource.	``
d_77	double	Source column from the original resource.	``
d_68	double	Source column from the original resource.	``
d_85	double	Source column from the original resource.	``
d_75	double	Source column from the original resource.	``
d_82	double	Source column from the original resource.	``
d_72	double	Source column from the original resource.	``
d_77_2	double	Source column from the original resource.	``
d_68_2	double	Source column from the original resource.	``
d_76_2	double	Source column from the original resource.	``
d_74	double	Source column from the original resource.	``
d_66	double	Source column from the original resource.	``
d_76_3	double	Source column from the original resource.	``
d_68_3	double	Source column from the original resource.	``
d_67_3	double	Source column from the original resource.	``
d_59	double	Source column from the original resource.	``
d_69	double	Source column from the original resource.	``
d_62	double	Source column from the original resource.	``
d_67_5	double	Source column from the original resource.	``
d_60	double	Source column from the original resource.	``
d_71_2	double	Source column from the original resource.	``
d_63	double	Source column from the original resource.	``
d_78	double	Source column from the original resource.	``
d_70	double	Source column from the original resource.	``
d_68_4	double	Source column from the original resource.	``
d_61	double	Source column from the original resource.	``
d_64	double	Source column from the original resource.	``
d_56	double	Source column from the original resource.	``
d_58	double	Source column from the original resource.	``
d_66_2	double	Source column from the original resource.	``
d_58_2	double	Source column from the original resource.	``
d_62_2	double	Source column from the original resource.	``
d_54	double	Source column from the original resource.	``
d_67_7	double	Source column from the original resource.	``
d_60_2	double	Source column from the original resource.	``
d_68_5	double	Source column from the original resource.	``
d_61_2	double	Source column from the original resource.	``
d_74_2	double	Source column from the original resource.	``
d_68_6	double	Source column from the original resource.	``
d_78_2	double	Source column from the original resource.	``
d_68_7	double	Source column from the original resource.	``
d_79	double	Source column from the original resource.	``
d_69_2	double	Source column from the original resource.	``
d_82_2	double	Source column from the original resource.	``
d_72_2	double	Source column from the original resource.	``
d_77_3	double	Source column from the original resource.	``
d_65	double	Source column from the original resource.	``
d_8	double	Source column from the original resource.	``
d_8_2	double	Source column from the original resource.	``
d_11	double	Source column from the original resource.	``
d_9	double	Source column from the original resource.	``
d_75_2	double	Source column from the original resource.	``
d_63_2	double	Source column from the original resource.	``
accommodation	double	Source column from the original resource.	``
meals_beverages	double	Source column from the original resource.	``
transport	double	Source column from the original resource.	``
sightseeing	double	Source column from the original resource.	``
entertainment	double	Source column from the original resource.	``
shopping	double	Source column from the original resource.	``
other	double	Source column from the original resource.	``
total_1	double	Source column from the original resource.	``
country	string	Source column from the original resource.	``
island_of_mauritius_1	double	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-earnings-and-value-added-of-the-tourism-sector-5c358d8e")
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

• Source: MDPA
• Publisher: MDPA
• Portal: https://data.govmu.org
• Resource: HS_Tourism_Yr22_250523_0.xls
• License: CC BY-SA 4.0
• Retrieved/generated: 2026-08-08T16:45:04Z
• Hugging Face repo: electricsheepafrica/africa-mauritius-earnings-and-value-added-of-the-tourism-sector-5c358d8e

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
• Build time-series views and period-over-period comparisons
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_mauritius_earnings_and_value_added_of_the_tourism_sector_5c358d8e_2022,
  title        = {Earnings and Value Added of the Tourism Sector | Africa (MDPA)},
  author       = {MDPA},
  year         = {2022},
  url          = {https://data.govmu.org/dataset/earnings-and-value-added-tourism-sector},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-earnings-and-value-added-of-the-tourism-sector-5c358d8e}}
}

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/earnings-and-value-added-tourism-sector