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electricsheepafrica/africa-mauritius-higher-school-certificate-grade-distribution-by-subjects-a-e068e90a

Higher School Certificate Grade Distribution by Subjects a | Africa (MDPA) 863 rows - 1 Africa country/area - 2013-2015 - 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-higher-school-certificate-grade-distribution-by-subjects-a-e068e90a.

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

863 rows - 1 Africa country/area - 2013-2015 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

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 2013 to 2015 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

DimensionValue
Rows863
Countries/areas1
First period2013
Last period2015
Indicators0
Columns70
Source formatXLSX

Geographic Coverage

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

AreaRowsFirst yearLast yearName
MU86320132015Mauritius

Indicators, Variables, Or Resource Contents

  • —This repo preserves one source tabular resource with its usable columns kept together.

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier assigned during Electric Sheep Africa engineering.fe63da9d-26ae-4619-bc1f-b4114ccc9766:introduction:0
country_iso3dictionary<values=string, indices=int8, ordered=0>ISO3 country or area code.MU
country_namedictionary<values=string, indices=int8, ordered=0>Country or area name.Mauritius
source_sheetstringSource column from the original resource.Introduction
introductionstringSource column from the original resource.This issue of Education statistics presents data on education, compil...
source_period_start_yearint64Start year inferred from source metadata.2013
source_period_end_yearint64End year inferred from source metadata.2015
source_period_labeldictionary<values=string, indices=int8, ordered=0>Source column from the original resource.2013-2015
source_providerdictionary<values=string, indices=int8, ordered=0>Publishing organization.MDPA
source_datasetdictionary<values=string, indices=int8, ordered=0>Source dataset or package title.Higher School Certificate Grade Distribution by Subjects at Subsidiar...
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.Source File Grade-Distribution-per-Subject-Subsidiary-Level2013-2015....
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.d8a23026-9171-49f6-a9ca-bda5f9848a4b
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.fe63da9d-26ae-4619-bc1f-b4114ccc9766
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://data.govmu.org/dataset/d8a23026-9171-49f6-a9ca-bda5f9848a4b/r...
license_iddictionary<values=string, indices=int8, ordered=0>Source license identifier.cc-by
retrieved_atdictionary<values=string, indices=int8, ordered=0>UTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-08-08T16:26:20Z
d_1doubleSource column from the original resource.``
expenditure_on_educationstringSource column from the original resource.``
educational_institutions_by_zone_2017stringSource column from the original resource.``
general_paperstringSource column from the original resource.``
boysstringSource column from the original resource.``
d_473doubleSource column from the original resource.``
d_1072doubleSource column from the original resource.``
d_1033doubleSource column from the original resource.``
d_1071doubleSource column from the original resource.``
d_794doubleSource column from the original resource.``
d_569doubleSource column from the original resource.``
d_5012doubleSource column from the original resource.``
d_4443doubleSource column from the original resource.``
general_paper_mauritiusstringSource column from the original resource.``
d_412doubleSource column from the original resource.``
d_861doubleSource column from the original resource.``
d_1129doubleSource column from the original resource.``
d_1090doubleSource column from the original resource.``
d_830doubleSource column from the original resource.``
d_578doubleSource column from the original resource.``
d_4900doubleSource column from the original resource.``
d_4322doubleSource column from the original resource.``
art_designstringSource column from the original resource.``
d_207doubleSource column from the original resource.``
d_151doubleSource column from the original resource.``
d_72_94685990338165doubleSource column from the original resource.``
d_6doubleSource column from the original resource.``
d_37doubleSource column from the original resource.``
d_108doubleSource column from the original resource.``
d_1008doubleSource column from the original resource.``
d_1648doubleSource column from the original resource.``
d_2594doubleSource column from the original resource.``
d_2384doubleSource column from the original resource.``
d_1564doubleSource column from the original resource.``
d_1077doubleSource column from the original resource.``
d_10275doubleSource column from the original resource.``
d_9198doubleSource column from the original resource.``
column_1stringSource column from the original resource.``
accountingstringSource column from the original resource.``
d_70doubleSource column from the original resource.``
d_30doubleSource column from the original resource.``
d_42_857142857142854doubleSource column from the original resource.``
d_10doubleSource column from the original resource.``
d_14doubleSource column from the original resource.``
d_118doubleSource column from the original resource.``
d_46doubleSource column from the original resource.``
d_38_983050847457626doubleSource column from the original resource.``
d_25doubleSource column from the original resource.``
d_11doubleSource column from the original resource.``
d_3261doubleSource column from the original resource.``
d_2396doubleSource column from the original resource.``
d_73_47439435755904doubleSource column from the original resource.``
d_506doubleSource column from the original resource.``
d_1890doubleSource column from the original resource.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-higher-school-certificate-grade-distribution-by-subjects-a-e068e90a")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

python
print(df.info())
print(df.head())

Filter By Geography

python
if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "MU"]

Time-Series Pattern

python
if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

python
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

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

bibtex
@misc{electric_sheep_africa_africa_mauritius_higher_school_certificate_grade_distribution_by_subjects_a_e068_2015,
  title        = {Higher School Certificate Grade Distribution by Subjects a | Africa (MDPA)},
  author       = {MDPA},
  year         = {2015},
  url          = {https://data.govmu.org/dataset/higher-school-certificate-grade-distribution-by-subjects-at-subsidiary-level-for-year-2013-to-2015},
  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-e068e90a}}
}

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.


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-2013-to-2015