README.md

metadata

license: cc-by-sa-4.0
language:
  - en
task_categories:
  - tabular-regression
  - time-series-forecasting
multilinguality: multilingual
size_categories:
  - n<1K
tags:
  - tabular
  - africa
  - open-data
  - official-statistics
  - mauritius
  - mdpa
  - education
  - ict-and-telecom
  - indices
  - ict-indicator
  - student
  - school
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-00000-of-00001.parquet
pretty_name: Ict in Education Indicators for Mauritius | Africa (MDPA)

Ict in Education Indicators for Mauritius | Africa (MDPA)

608 rows - 1 Africa country/area - 2013-2020 - 4 indicators - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 608 rows from MDPA, covering Ict in Education Indicators for Mauritius. 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 refers to the ICT in Education Indicators for Mauritius for the year 2013 to 2020

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

Dimension	Value
Rows	608
Countries/areas	1
First period	2013
Last period	2020
Indicators	4
Columns	21
Source format	CSV

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MU	608	2013	2020	Mauritius

Indicators, Variables, Or Resource Contents

• ict-in-education-indicators-for-mauritius-ratio-17a38b57 - ICT in Education Indicators for Mauritius - ratio(source_units_unspecified)
• ict-in-education-indicators-for-mauritius-percentage-873fb909 - ICT in Education Indicators for Mauritius - percentage(source_units_unspecified)
• ict-in-education-indicators-for-mauritius-proportion-e2f96559 - ICT in Education Indicators for Mauritius - proportion(source_units_unspecified)
• ict-in-education-indicators-for-mauritius-average-2f034c07 - ICT in Education Indicators for Mauritius - average(source_units_unspecified)

Schema

Column	Type	Description	Example
indicator_id	string	Stable source or Electric Sheep Africa indicator identifier.	ict-in-education-indicators-for-mauritius-ratio-17a38b57
indicator_name	string	Human-readable indicator name.	ICT in Education Indicators for Mauritius - ratio
country_iso3	string	ISO3 country or area code.	MU
country_name	string	Country or area name.	Mauritius
year	int64	Observation year.	2013
value	double	Numeric observation value.	4.0
unit	string	Measurement unit, when supplied by the source.	source_units_unspecified
dimension_category	string	Source dimension retained during long-form normalization.	Computer to Student ratio
dimension_type	string	Source dimension retained during long-form normalization.	``
dimension_level	string	Source dimension retained during long-form normalization.	Primary
source_period_start_year	int64	Start year inferred from source metadata.	2013
source_period_end_year	int64	End year inferred from source metadata.	2020
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2013-2020
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.	ICT in Education Indicators for Mauritius
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	ICT-in-Education-Indicators-for-Mauritius.csv
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	d500c8ae-5239-4ddc-8819-19f6e165d174
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	6364bb13-2598-4e52-ae56-ffd0a0870271
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.govmu.org/dataset/d500c8ae-5239-4ddc-8819-19f6e165d174/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

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-ict-in-education-indicators-for-mauritius-55dda545")
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: ICT-in-Education-Indicators-for-Mauritius.csv
• License: CC BY-SA 4.0
• Retrieved/generated: 2026-08-08T16:29:00Z
• Hugging Face repo: electricsheepafrica/africa-mauritius-ict-in-education-indicators-for-mauritius-55dda545

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_ict_in_education_indicators_for_mauritius_55dda545_2020,
  title        = {Ict in Education Indicators for Mauritius | Africa (MDPA)},
  author       = {MDPA},
  year         = {2020},
  url          = {https://data.govmu.org/dataset/ict-education-indicators-mauritius},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-ict-in-education-indicators-for-mauritius-55dda545}}
}

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/ict-education-indicators-mauritius