electricsheepafrica/africa-mauritius-number-of-cases-new-and-old-registered-at-the-family-suppo-d936abe5

Number of Cases New and Old Registered At the Family Suppo | Africa (MDPA)

119 rows - 1 Africa country/area - detected - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 119 rows from MDPA, covering Number of Cases New and Old Registered At the Family Suppo. 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 Number of cases (new and old) registered by gender at the Family Support Bureau (FSB) for Island of Mauritius

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

Coverage

Dimension	Value
Rows	119
Countries/areas	1
First period	detected
Last period	detected
Indicators	0
Columns	88
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MU	119	detected	detected	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.	63f80746-158a-4d63-951b-3fbf8ef1593f:table-1b-1c-1d-1e-1f: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 1b, 1c, 1d, 1e, 1f
total	string	Source column from the original resource.	Table 1c - Number of registered cases (new and old) of Domestic Viole...
d_559	string	Source column from the original resource.	``
d_3771	double	Source column from the original resource.	``
d_4330	double	Source column from the original resource.	``
d_209	string	Source column from the original resource.	``
d_906	string	Source column from the original resource.	``
d_1115	string	Source column from the original resource.	``
d_768	string	Source column from the original resource.	``
d_4118	double	Source column from the original resource.	``
d_4886	double	Source column from the original resource.	``
d_672	string	Source column from the original resource.	``
d_3265	string	Source column from the original resource.	``
d_3937	double	Source column from the original resource.	``
d_209_2	string	Source column from the original resource.	``
d_995	string	Source column from the original resource.	``
d_1204	string	Source column from the original resource.	``
d_881	string	Source column from the original resource.	``
d_4260	double	Source column from the original resource.	``
d_5141	double	Source column from the original resource.	``
d_727	string	Source column from the original resource.	``
d_3154	double	Source column from the original resource.	``
d_3881	double	Source column from the original resource.	``
d_194	string	Source column from the original resource.	``
d_875	string	Source column from the original resource.	``
d_1069	string	Source column from the original resource.	``
d_921	string	Source column from the original resource.	``
d_4029	double	Source column from the original resource.	``
d_4950	double	Source column from the original resource.	``
d_762	string	Source column from the original resource.	``
d_2725	string	Source column from the original resource.	``
d_3487	double	Source column from the original resource.	``
d_184	string	Source column from the original resource.	``
d_955	string	Source column from the original resource.	``
d_1139	string	Source column from the original resource.	``
d_946	string	Source column from the original resource.	``
d_3680	string	Source column from the original resource.	``
d_4626	double	Source column from the original resource.	``
d_794	string	Source column from the original resource.	``
d_3205	double	Source column from the original resource.	``
d_3999	double	Source column from the original resource.	``
d_189	string	Source column from the original resource.	``
d_969	string	Source column from the original resource.	``
d_1158	string	Source column from the original resource.	``
d_983	string	Source column from the original resource.	``
d_4174	double	Source column from the original resource.	``
d_5157	double	Source column from the original resource.	``
d_721	string	Source column from the original resource.	``
d_2715	string	Source column from the original resource.	``
d_3436	double	Source column from the original resource.	``
d_200	string	Source column from the original resource.	``
d_860	string	Source column from the original resource.	``
d_1060	string	Source column from the original resource.	``
d_921_2	string	Source column from the original resource.	``
d_3575	string	Source column from the original resource.	``
d_4496	double	Source column from the original resource.	``
d_752	string	Source column from the original resource.	``
d_2337	double	Source column from the original resource.	``
d_3089	double	Source column from the original resource.	``
d_166	string	Source column from the original resource.	``
d_801	string	Source column from the original resource.	``
d_967	string	Source column from the original resource.	``
d_918	string	Source column from the original resource.	``
d_3138	double	Source column from the original resource.	``
d_4056	double	Source column from the original resource.	``
d_790	string	Source column from the original resource.	``
d_2609	string	Source column from the original resource.	``
d_3399	string	Source column from the original resource.	``
d_143	string	Source column from the original resource.	``
d_709	string	Source column from the original resource.	``
d_852	string	Source column from the original resource.	``
d_933	string	Source column from the original resource.	``
d_3318	string	Source column from the original resource.	``
d_4251	double	Source column from the original resource.	``
source_period_start_year	int64	Start year inferred from source metadata.	``
source_period_end_year	int64	End year inferred from source metadata.	``
source_period_label	string	Source column from the original resource.	``
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	``
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	``
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	``
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	``
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	``
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	``
license_id	dictionary<values=string, indices=int8, ordered=0>	Source license identifier.	``
retrieved_at	dictionary<values=string, indices=int8, ordered=0>	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-number-of-cases-new-and-old-registered-at-the-family-suppo-d936abe5")
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 "source_period_start_year" in df.columns:
    trend = df.sort_values("source_period_start_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: source_period_start_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: SourceFile_3.xlsx
• License: CC BY-SA 4.0
• Retrieved/generated: 2026-08-08T16:26:55Z
• Hugging Face repo: electricsheepafrica/africa-mauritius-number-of-cases-new-and-old-registered-at-the-family-suppo-d936abe5

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
• 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_number_of_cases_new_and_old_registered_at_the_family_suppo_d936_2026,
  title        = {Number of Cases New and Old Registered At the Family Suppo | Africa (MDPA)},
  author       = {MDPA},
  year         = {2026},
  url          = {https://data.govmu.org/dataset/number-cases-new-and-old-registered-family-support-bureau-fsb},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-number-of-cases-new-and-old-registered-at-the-family-suppo-d936abe5}}
}

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.

---

Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.govmu.org/dataset/number-cases-new-and-old-registered-family-support-bureau-fsb