electricsheepafrica/africa-mozambique-health-facilities

Mozambique - Health facilities

Publisher: OCHA Mozambique · Source: HDX · License: other-pd-nr · Updated: 2025-04-08

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Abstract

Mozambique health facilities

Each row in this dataset represents tabular records. Data was last updated on HDX on 2025-04-08. Geographic scope: MOZ.

Curated into ML-ready Parquet format by Electric Sheep Africa.

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Dataset Characteristics

Domain	Public health
Unit of observation	Tabular records
Rows (total)	73
Columns	2 (0 numeric, 2 categorical, 0 datetime)
Train split	58 rows
Test split	14 rows
Geographic scope	MOZ
Publisher	OCHA Mozambique
HDX last updated	2025-04-08

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Variables

Identifier / Metadata — esa_source (HDX), esa_processed (2026-04-12).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-mozambique-health-facilities")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

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Schema

Column	Type	Null %	Range / Sample Values
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-12

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Numeric Summary

Column	Min	Max	Mean	Median
No numeric columns.

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Curation

Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (N/A, null, none, -, unknown, no data, #N/A) were unified to NaN. 23 column(s) with >80% missing values were removed: unnamed_0, unnamed_1, unnamed_2, unnamed_3, unnamed_4, unnamed_5.... The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.

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Limitations

• Data originates from OCHA Mozambique and has not been independently validated by ESA.
• Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{hdx_africa_mozambique_health_facilities,
  title     = {Mozambique - Health facilities},
  author    = {OCHA Mozambique},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/mozambique-health-facilities},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

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Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.