electricsheepafrica/africa-mauritius-employment-by-product-group-eoe-sector-from-march-1992-to-5e63e561

Employment by Product Group Eoe Sector From March 1992 to | Africa (MDPA)

14 rows - 1 Africa country/area - 1992-1999 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 14 rows from MDPA, covering Employment by Product Group Eoe Sector From March 1992 to. 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: Dataset shows the Employment by product group, Export Oriented Enterprise Sector quarterwise from March 1992 to December 1999

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	14
Countries/areas	1
First period	1992
Last period	1999
Indicators	0
Columns	49
Source format	XLS

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MU	14	1992	1999	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.	c0620aa1-82c3-4ae3-9150-bc47ee6d0760:sheet1:0
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.	Sheet1
d_1	double	Source column from the original resource.	2.0
food	string	Source column from the original resource.	Flowers
d_916	int64	Source column from the original resource.	605
d_843	int64	Source column from the original resource.	597
d_835	int64	Source column from the original resource.	598
d_880	int64	Source column from the original resource.	590
d_944	int64	Source column from the original resource.	616
d_949	int64	Source column from the original resource.	593
d_958	int64	Source column from the original resource.	594
d_1187	int64	Source column from the original resource.	611
d_1179	int64	Source column from the original resource.	630
d_1456	int64	Source column from the original resource.	605
d_1387	int64	Source column from the original resource.	621
d_1478	int64	Source column from the original resource.	643
d_1705	int64	Source column from the original resource.	628
d_1709	int64	Source column from the original resource.	604
d_1718	int64	Source column from the original resource.	602
d_1653	int64	Source column from the original resource.	602
d_1504	int64	Source column from the original resource.	679
d_1574	int64	Source column from the original resource.	610
d_1597	int64	Source column from the original resource.	596
d_1561	int64	Source column from the original resource.	570
d_1665	int64	Source column from the original resource.	566
d_1710	int64	Source column from the original resource.	547
d_1638	int64	Source column from the original resource.	547
d_1609	int64	Source column from the original resource.	544
d_1539	int64	Source column from the original resource.	547
d_1532	int64	Source column from the original resource.	525
d_1520	int64	Source column from the original resource.	513
d_1500	int64	Source column from the original resource.	537
d_1559	int64	Source column from the original resource.	542
d_1591	int64	Source column from the original resource.	544
d_1557	int64	Source column from the original resource.	531
d_1567	int64	Source column from the original resource.	522
source_period_start_year	int64	Start year inferred from source metadata.	1992
source_period_end_year	int64	End year inferred from source metadata.	1999
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	1992-1999
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.	Employment by product group, EOE Sector from March 1992 to December 1999
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Source File: Employment by product group, EOE Sector, March 1992 - De...
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	d32522d5-70a3-4af5-97aa-323315514305
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	c0620aa1-82c3-4ae3-9150-bc47ee6d0760
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.govmu.org/dataset/d32522d5-70a3-4af5-97aa-323315514305/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-employment-by-product-group-eoe-sector-from-march-1992-to-5e63e561")
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: Employment by product group, EOE Sector, March 1992 - December 1999.xls
• License: CC BY 4.0
• Retrieved/generated: 2026-08-08T16:53:06Z
• Hugging Face repo: electricsheepafrica/africa-mauritius-employment-by-product-group-eoe-sector-from-march-1992-to-5e63e561

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_employment_by_product_group_eoe_sector_from_march_1992_to_5e63e_1999,
  title        = {Employment by Product Group Eoe Sector From March 1992 to | Africa (MDPA)},
  author       = {MDPA},
  year         = {1999},
  url          = {https://data.govmu.org/dataset/employment-by-product-group-eoe-sector-from-march-1992-to-december-1999},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-employment-by-product-group-eoe-sector-from-march-1992-to-5e63e561}}
}

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.

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Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.govmu.org/dataset/employment-by-product-group-eoe-sector-from-march-1992-to-december-1999