electricsheepafrica/africa-mauritius-enrolment-by-course-level-mode-of-study-by-gender-and-by-y-c9020068

Enrolment by Course Level Mode of Study by Gender and by Y | Africa (MDPA)

1,036 rows - 1 Africa country/area - 2018-2022 - 5 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 1,036 rows from MDPA, covering Enrolment by Course Level Mode of Study by Gender and by Y. 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 the Number of Participant Enrolled by Course Level, Mode of Study, by Gender and by Year for Mahatma Gandhi Institute for the Year 2017 to 2022.

How To Read This Dataset

• —One row means: one indicator observation for one geography, time period, and optional source dimensions.
• —Primary geography column: country_iso3.
• —Best time column: year.
• —Time coverage basis: year.
• —Recommended join keys: country_iso3, year, indicator_id.

Coverage

Geographic Coverage

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

Indicators, Variables, Or Resource Contents

• —enrolment-by-course-level-mode-of-study-by-gender-and-by-year-for-mahatm-0ea3a9fb - Enrolment by Course Level, Mode of Study, by Gender and by Year for Mahatma Gandhi Institute - from year(sourceunitsunspecified)
• —enrolment-by-course-level-mode-of-study-by-gender-and-by-year-for-mahatm-0f4aee1d - Enrolment by Course Level, Mode of Study, by Gender and by Year for Mahatma Gandhi Institute - num enrolled year1(sourceunitsunspecified)
• —enrolment-by-course-level-mode-of-study-by-gender-and-by-year-for-mahatm-f40db000 - Enrolment by Course Level, Mode of Study, by Gender and by Year for Mahatma Gandhi Institute - num enrolled year2(sourceunitsunspecified)
• —enrolment-by-course-level-mode-of-study-by-gender-and-by-year-for-mahatm-20f802d7 - Enrolment by Course Level, Mode of Study, by Gender and by Year for Mahatma Gandhi Institute - num enrolled year3(sourceunitsunspecified)
• —enrolment-by-course-level-mode-of-study-by-gender-and-by-year-for-mahatm-ef267c6e - Enrolment by Course Level, Mode of Study, by Gender and by Year for Mahatma Gandhi Institute - num enrolled year4(sourceunitsunspecified)

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-enrolment-by-course-level-mode-of-study-by-gender-and-by-y-c9020068")
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

• —Canonical time field: 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: Enrolment-by-Course-Level-Mode-of-Study-%26-Gender-MGI-%26-RTI.csv
• —License: CC BY-SA 4.0
• —Retrieved/generated: 2026-08-08T17:06:28Z
• —Hugging Face repo: electricsheepafrica/africa-mauritius-enrolment-by-course-level-mode-of-study-by-gender-and-by-y-c9020068

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
• —Build time-series views and period-over-period comparisons
• —Pivot to geography x period or indicator x period matrices
• —Check missingness before modeling
• —Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_mauritius_enrolment_by_course_level_mode_of_study_by_gender_and_by_y_c902_2022,
  title        = {Enrolment by Course Level Mode of Study by Gender and by Y | Africa (MDPA)},
  author       = {MDPA},
  year         = {2022},
  url          = {https://data.govmu.org/dataset/enrolment-course-level-mode-study-gender-and-year-mahatma-gandhi-institute},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-enrolment-by-course-level-mode-of-study-by-gender-and-by-y-c9020068}}
}

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/enrolment-course-level-mode-study-gender-and-year-mahatma-gandhi-institute