electricsheepafrica/africa-mauritius-marriages-by-type-of-marriage-celebration-and-district-for-54ecadc9

Marriages by Type of Marriage Celebration and District for | Africa (MDPA)

9 rows - 1 Africa country/area - 2011-2021 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 9 rows from MDPA, covering Marriages by Type of Marriage Celebration and District for. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Labour and workforce datasets help analysts study employment, participation, skills, sectoral structure, and the movement of people through work and livelihoods.

Source-provided context: Data shows number of Marriage celebrations by year, island, district and type of celebration for the year 2011 to 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	9
Countries/areas	1
First period	2011
Last period	2021
Indicators	0
Columns	60
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MU	9	2011	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.	608561ab-9219-465d-8140-031ec0711874:tab6-3:0
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.	TAB6.3
grand_port	string	Source column from the original resource.	Savanne
d_983	double	Source column from the original resource.	581.0
d_2	double	Source column from the original resource.	0.0
d_21	double	Source column from the original resource.	5.0
d_1006	double	Source column from the original resource.	586.0
d_1004	double	Source column from the original resource.	678.0
d_0	double	Source column from the original resource.	1.0
d_15	double	Source column from the original resource.	8.0
d_1019	double	Source column from the original resource.	687.0
d_829	double	Source column from the original resource.	606.0
d_3	double	Source column from the original resource.	1.0
d_13	double	Source column from the original resource.	4.0
d_845	double	Source column from the original resource.	611.0
d_842	double	Source column from the original resource.	617.0
d_4	double	Source column from the original resource.	1.0
d_7	double	Source column from the original resource.	3.0
d_853	double	Source column from the original resource.	621.0
d_794	double	Source column from the original resource.	604.0
d_2_2	double	Source column from the original resource.	1.0
d_14	double	Source column from the original resource.	6.0
d_810	double	Source column from the original resource.	611.0
d_881	double	Source column from the original resource.	622.0
d_1	double	Source column from the original resource.	4.0
d_9	double	Source column from the original resource.	1.0
d_891	double	Source column from the original resource.	627.0
d_824	double	Source column from the original resource.	604.0
d_2_3	double	Source column from the original resource.	0.0
d_11	double	Source column from the original resource.	1.0
d_837	double	Source column from the original resource.	605.0
d_786	double	Source column from the original resource.	617.0
d_0_2	double	Source column from the original resource.	0.0
d_6	double	Source column from the original resource.	2.0
d_792	double	Source column from the original resource.	619.0
d_789	double	Source column from the original resource.	555.0
d_0_3	double	Source column from the original resource.	1.0
d_9_2	double	Source column from the original resource.	3.0
d_798	double	Source column from the original resource.	559.0
d_631	double	Source column from the original resource.	402.0
d_0_4	double	Source column from the original resource.	0.0
d_4_2	double	Source column from the original resource.	2.0
d_635	double	Source column from the original resource.	404.0
d_762	double	Source column from the original resource.	477.0
d_0_5	double	Source column from the original resource.	0.0
d_1_2	double	Source column from the original resource.	0.0
d_763	double	Source column from the original resource.	477.0
source_period_start_year	int64	Start year inferred from source metadata.	2011
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.	2011-2021
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.	Marriages by type of marriage celebration and district for the Republ...
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Source_file_2.xlsx
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	087828f4-017d-4733-9124-db4e896fa90d
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	608561ab-9219-465d-8140-031ec0711874
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.govmu.org/dataset/087828f4-017d-4733-9124-db4e896fa90d/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

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-marriages-by-type-of-marriage-celebration-and-district-for-54ecadc9")
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_file_2.xlsx
• License: CC BY-SA 4.0
• Retrieved/generated: 2026-08-08T17:10:39Z
• Hugging Face repo: electricsheepafrica/africa-mauritius-marriages-by-type-of-marriage-celebration-and-district-for-54ecadc9

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 workforce composition over time
• Compare employment patterns across groups
• Join with education, population, and sector data
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_mauritius_marriages_by_type_of_marriage_celebration_and_district_for_54ec_2021,
  title        = {Marriages by Type of Marriage Celebration and District for | Africa (MDPA)},
  author       = {MDPA},
  year         = {2021},
  url          = {https://data.govmu.org/dataset/marriages-type-marriage-celebration-and-district-republic-mauritius},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-marriages-by-type-of-marriage-celebration-and-district-for-54ecadc9}}
}

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/marriages-type-marriage-celebration-and-district-republic-mauritius