electricsheepafrica/africa-mauritius-higher-school-certificate-grade-distribution-by-subjects-a-42fd140b

Higher School Certificate Grade Distribution by Subjects a | Africa (MDPA)

863 rows - 1 Africa country/area - 2016-2019 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 863 rows from MDPA, covering Higher School Certificate Grade Distribution by Subjects a. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Education datasets help analysts study access, participation, learning systems, infrastructure, and outcomes across places and periods.

Source-provided context: Dataset shows number of students who took part (who were examined) in Higher School Certificate Examinations and the number of passes by Subject from year 2016 to 2019 at Subsidiary Level

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	863
Countries/areas	1
First period	2016
Last period	2019
Indicators	0
Columns	70
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MU	863	2016	2019	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.	4831bf01-bb67-4750-8338-feab4fd31b47:introduction: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.	Introduction
introduction	string	Source column from the original resource.	This issue of Education statistics presents data on education, compil...
source_period_start_year	int64	Start year inferred from source metadata.	2016
source_period_end_year	int64	End year inferred from source metadata.	2019
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2016-2019
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.	Higher School Certificate Grade Distribution by Subjects at Subsidiar...
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Source File Grade-Distribution-per-Subject-Subsidiary-Level2016-2019....
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	3e37e55f-1ea4-40b7-a4d3-57f2f478fed7
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	4831bf01-bb67-4750-8338-feab4fd31b47
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.govmu.org/dataset/3e37e55f-1ea4-40b7-a4d3-57f2f478fed7/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
d_1	double	Source column from the original resource.	``
expenditure_on_education	string	Source column from the original resource.	``
educational_institutions_by_zone_2017	string	Source column from the original resource.	``
general_paper	string	Source column from the original resource.	``
boys	string	Source column from the original resource.	``
d_473	double	Source column from the original resource.	``
d_1072	double	Source column from the original resource.	``
d_1033	double	Source column from the original resource.	``
d_1071	double	Source column from the original resource.	``
d_794	double	Source column from the original resource.	``
d_569	double	Source column from the original resource.	``
d_5012	double	Source column from the original resource.	``
d_4443	double	Source column from the original resource.	``
general_paper_mauritius	string	Source column from the original resource.	``
d_412	double	Source column from the original resource.	``
d_861	double	Source column from the original resource.	``
d_1129	double	Source column from the original resource.	``
d_1090	double	Source column from the original resource.	``
d_830	double	Source column from the original resource.	``
d_578	double	Source column from the original resource.	``
d_4900	double	Source column from the original resource.	``
d_4322	double	Source column from the original resource.	``
art_design	string	Source column from the original resource.	``
d_207	double	Source column from the original resource.	``
d_151	double	Source column from the original resource.	``
d_72_94685990338165	double	Source column from the original resource.	``
d_6	double	Source column from the original resource.	``
d_37	double	Source column from the original resource.	``
d_108	double	Source column from the original resource.	``
d_1008	double	Source column from the original resource.	``
d_1648	double	Source column from the original resource.	``
d_2594	double	Source column from the original resource.	``
d_2384	double	Source column from the original resource.	``
d_1564	double	Source column from the original resource.	``
d_1077	double	Source column from the original resource.	``
d_10275	double	Source column from the original resource.	``
d_9198	double	Source column from the original resource.	``
column_1	string	Source column from the original resource.	``
accounting	string	Source column from the original resource.	``
d_70	double	Source column from the original resource.	``
d_30	double	Source column from the original resource.	``
d_42_857142857142854	double	Source column from the original resource.	``
d_10	double	Source column from the original resource.	``
d_14	double	Source column from the original resource.	``
d_118	double	Source column from the original resource.	``
d_46	double	Source column from the original resource.	``
d_38_983050847457626	double	Source column from the original resource.	``
d_25	double	Source column from the original resource.	``
d_11	double	Source column from the original resource.	``
d_3261	double	Source column from the original resource.	``
d_2396	double	Source column from the original resource.	``
d_73_47439435755904	double	Source column from the original resource.	``
d_506	double	Source column from the original resource.	``
d_1890	double	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-higher-school-certificate-grade-distribution-by-subjects-a-42fd140b")
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 Grade-Distribution-per-Subject-Subsidiary-Level2016-2019.xlsx
• License: CC BY 4.0
• Retrieved/generated: 2026-08-08T16:27:27Z
• Hugging Face repo: electricsheepafrica/africa-mauritius-higher-school-certificate-grade-distribution-by-subjects-a-42fd140b

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

• Compare education indicators by geography
• Track participation or completion trends
• Join with population and poverty indicators
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_mauritius_higher_school_certificate_grade_distribution_by_subjects_a_42fd_2019,
  title        = {Higher School Certificate Grade Distribution by Subjects a | Africa (MDPA)},
  author       = {MDPA},
  year         = {2019},
  url          = {https://data.govmu.org/dataset/higher-school-certificate-grade-distribution-by-subjects-at-subsidiary-level-for-year-2016-to-2019},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-higher-school-certificate-grade-distribution-by-subjects-a-42fd140b}}
}

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/higher-school-certificate-grade-distribution-by-subjects-at-subsidiary-level-for-year-2016-to-2019