electricsheepafrica/africa-mauritius-enrolment-by-course-level-mode-of-study-by-gender-and-by-y-af1d78a5

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

202 rows - 1 Africa country/area - 2017-2022 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 202 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 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	202
Countries/areas	1
First period	2017
Last period	2022
Indicators	0
Columns	67
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MU	202	2017	2022	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.	25fce692-ae29-4392-b77a-e88ac9a5908e:2017-2018:0
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.	2017-2018
column_1	string	Source column from the original resource.	``
fine_arts	string	Source column from the original resource.	Advertising & Visual Comunication
ft	string	Source column from the original resource.	FT
d_6	double	Source column from the original resource.	4.0
d_11	double	Source column from the original resource.	11.0
d_17	double	Source column from the original resource.	15.0
d_2	double	Source column from the original resource.	3.0
d_14	double	Source column from the original resource.	10.0
d_16	double	Source column from the original resource.	13.0
d_5	double	Source column from the original resource.	0.0
d_24	double	Source column from the original resource.	0.0
d_29	double	Source column from the original resource.	0.0
d_6_2	double	Source column from the original resource.	0.0
d_12	double	Source column from the original resource.	0.0
d_18	double	Source column from the original resource.	0.0
d_19	double	Source column from the original resource.	7.0
d_61	double	Source column from the original resource.	21.0
d_80	double	Source column from the original resource.	28.0
source_period_start_year	int64	Start year inferred from source metadata.	2017
source_period_end_year	int64	End year inferred from source metadata.	2022
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2017-2022
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.	Enrolment by Course Level, Mode of Study, by Gender and by Year for M...
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Source-File_45.xlsx
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	d4720477-e219-4126-bbed-accfcf3f7f2b
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	25fce692-ae29-4392-b77a-e88ac9a5908e
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.govmu.org/dataset/d4720477-e219-4126-bbed-accfcf3f7f2b/r...
license_id	dictionary<values=string, indices=int8, ordered=0>	Source license identifier.	CC-BY-SA-4.0
retrieved_at	dictionary<values=string, indices=int8, ordered=0>	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-08-08T16:26:20Z
indian_philosophy	string	Source column from the original resource.	``
d_13	double	Source column from the original resource.	``
d_1	double	Source column from the original resource.	``
d_25	double	Source column from the original resource.	``
d_11_2	double	Source column from the original resource.	``
d_0	double	Source column from the original resource.	``
d_0_2	double	Source column from the original resource.	``
d_0_3	double	Source column from the original resource.	``
d_8	double	Source column from the original resource.	``
d_46	double	Source column from the original resource.	``
d_54	double	Source column from the original resource.	``
d_2_2	double	Source column from the original resource.	``
d_10	double	Source column from the original resource.	``
d_26	double	Source column from the original resource.	``
d_52	double	Source column from the original resource.	``
d_57	double	Source column from the original resource.	``
hindi	string	Source column from the original resource.	``
d_4	double	Source column from the original resource.	``
d_30	double	Source column from the original resource.	``
d_34	double	Source column from the original resource.	``
d_35	double	Source column from the original resource.	``
d_36	double	Source column from the original resource.	``
d_3	double	Source column from the original resource.	``
d_37	double	Source column from the original resource.	``
d_40	double	Source column from the original resource.	``
d_102	double	Source column from the original resource.	``
d_110	double	Source column from the original resource.	``
film_production	string	Source column from the original resource.	``
d_22	double	Source column from the original resource.	``
d_7	double	Source column from the original resource.	``
d_1_2	double	Source column from the original resource.	``
d_1_3	double	Source column from the original resource.	``
d_20	double	Source column from the original resource.	``
d_20_2	double	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-enrolment-by-course-level-mode-of-study-by-gender-and-by-y-af1d78a5")
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_45.xlsx
• License: CC BY-SA 4.0
• Retrieved/generated: 2026-08-08T17:06:53Z
• Hugging Face repo: electricsheepafrica/africa-mauritius-enrolment-by-course-level-mode-of-study-by-gender-and-by-y-af1d78a5

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_enrolment_by_course_level_mode_of_study_by_gender_and_by_y_af1d_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-af1d78a5}}
}

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.

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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