electricsheepafrica/africa-ethiopia

Ethiopia-Polio immunization coverage among 1-year-olds

Publisher: OCHA Regional Office for Southern and Eastern Africa (ROSEA) · Source: HDX · License: other-pd-nr · Updated: 2023-09-28

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Abstract

Data has been sourced from the Ethiopia Demographic and Health Survey 2011.More information about the data is available on the metadata of the attached datasheet.

Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2023-09-28. Geographic scope: ETH.

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

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Dataset Characteristics

Domain	Public health
Unit of observation	First-level administrative unit observations
Rows (total)	13
Columns	5 (1 numeric, 4 categorical, 0 datetime)
Train split	10 rows
Test split	2 rows
Geographic scope	ETH
Publisher	OCHA Regional Office for Southern and Eastern Africa (ROSEA)
HDX last updated	2023-09-28

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Variables

Geographic — country (Ethiopia), region (National Average, Tigray, Afar), one_year_olds_fully_immunized_against_polio (range 18.4–81.7).

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

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-ethiopia")
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
country	object	7.7%	Ethiopia
region	object	7.7%	National Average, Tigray, Afar
one_year_olds_fully_immunized_against_polio	float64	7.7%	18.4 – 81.7 (mean 50.375)
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-04

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Numeric Summary

Column	Min	Max	Mean	Median
one_year_olds_fully_immunized_against_polio	18.4	81.7	50.375	46.3

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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. 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 Regional Office for Southern and Eastern Africa (ROSEA) 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_ethiopia,
  title     = {Ethiopia-Polio immunization coverage among 1-year-olds},
  author    = {OCHA Regional Office for Southern and Eastern Africa (ROSEA)},
  year      = {2023},
  url       = {https://data.humdata.org/dataset/ethiopia},
  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.