electricsheepafrica/africa-mauritius-infant-deaths-by-selected-causes-for-island-of-mauritius-i-6487f95a

Infant Deaths by Selected Causes for Island of Mauritius I | Africa (MDPA)

54 rows - 1 Africa country/area - 2018-2024 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 54 rows from MDPA, covering Infant Deaths by Selected Causes for Island of Mauritius I. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Health datasets help analysts monitor disease burden, service delivery, population health outcomes, and public-health program performance.

Source-provided context: Data shows number of infant deaths by selected causes for Island of Mauritius & Island of Rodrigues, 2018 - 2024

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	54
Countries/areas	1
First period	2018
Last period	2024
Indicators	0
Columns	30
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MU	54	2018	2024	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.	b1c9db51-b036-45b1-a598-f4277a430d73:source-stats-mtius: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.	Source Stats_Mtius
acute_bronchitis_and_acute_bronchiolitis	string	Source column from the original resource.	Asthma
d_3	double	Source column from the original resource.	0.0
d_1_7	double	Source column from the original resource.	0.0
d_8	double	Source column from the original resource.	0.0
d_4_3	double	Source column from the original resource.	0.0
d_2	double	Source column from the original resource.	0.0
d_1	double	Source column from the original resource.	0.0
d_7	double	Source column from the original resource.	0.0
d_3_910614525139665	double	Source column from the original resource.	0.0
d_4	double	Source column from the original resource.	0.0
d_2_3255813953488373	double	Source column from the original resource.	0.0
d_10	double	Source column from the original resource.	0.0
d_5_9	double	Source column from the original resource.	0.0
d_9	double	Source column from the original resource.	0.0
d_4_891304347826087	double	Source column from the original resource.	0.0
source_period_start_year	int64	Start year inferred from source metadata.	2018
source_period_end_year	int64	End year inferred from source metadata.	2024
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2018-2024
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.	Infant deaths by selected causes for Island of Mauritius & Island of ...
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Source file: Infant deaths by selected causes.xlsx
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	ef5f8b7b-e976-41c0-b303-f3eb4f70d0d0
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	b1c9db51-b036-45b1-a598-f4277a430d73
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.govmu.org/dataset/ef5f8b7b-e976-41c0-b303-f3eb4f70d0d0/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

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-infant-deaths-by-selected-causes-for-island-of-mauritius-i-6487f95a")
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: Infant deaths by selected causes.xlsx
• License: CC BY 4.0
• Retrieved/generated: 2026-08-08T16:26:39Z
• Hugging Face repo: electricsheepafrica/africa-mauritius-infant-deaths-by-selected-causes-for-island-of-mauritius-i-6487f95a

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 health outcomes across geographies
• Track changes over time
• Join with population or facility data
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_mauritius_infant_deaths_by_selected_causes_for_island_of_mauritius_i_6487_2024,
  title        = {Infant Deaths by Selected Causes for Island of Mauritius I | Africa (MDPA)},
  author       = {MDPA},
  year         = {2024},
  url          = {https://data.govmu.org/dataset/infant-deaths-by-selected-causes-for-island-of-mauritius-island-of-rodrigues-2018-2024},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-infant-deaths-by-selected-causes-for-island-of-mauritius-i-6487f95a}}
}

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/infant-deaths-by-selected-causes-for-island-of-mauritius-island-of-rodrigues-2018-2024