electricsheepafrica/africa-mauritania-coronavirus-covid-19-city-level

Mauritania: Coronavirus (Covid-19) City level

Publisher: HERA - Humanitarian Emergency Response Africa · Source: HDX · License: cc-by · Updated: 2025-05-05

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Abstract

Covid19 data at the city level in Mauritania - Infections (new cases), Deaths, Recoveries.

Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2025-05-05. Geographic scope: MRT.

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)	3,577
Columns	3 (0 numeric, 3 categorical, 0 datetime)
Train split	2,861 rows
Test split	715 rows
Geographic scope	MRT
Publisher	HERA - Humanitarian Emergency Response Africa
HDX last updated	2025-05-05

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Variables

Geographic — id_date_iso_3_pays_id_pays_region_id_region_villes_id_villes_contaminés_décès_guéris_femme_homme_genre_non_spécifié_source (1;16/01/2021;MRT;Mauritanie;6;Non spécifié;72;Non spécifié;61;15999;401;14431;;;15999;Ministère de la Santé , 2390;06/08/2021;MRT;Mauritanie;6;Dakhlet Nouadhibou;62;Chami;26;7;;;;;7;Agence Mauritanienne d'information, 2379;06/08/2021;MRT;Mauritanie;6;Brakna;61;M'Bagne;37;1;;;;;1;Agence Mauritanienne d'information).

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-mauritania-coronavirus-covid-19-city-level")
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
id_date_iso_3_pays_id_pays_region_id_region_villes_id_villes_contaminés_décès_guéris_femme_homme_genre_non_spécifié_source	object	0.0%	1;16/01/2021;MRT;Mauritanie;6;Non spécifié;72;Non spécifié;61;15999;401;14431;;;15999;Ministère de la Santé , 2390;06/08/2021;MRT;Mauritanie;6;Dakhlet Nouadhibou;62;Chami;26;7;;;;;7;Agence Mauritanienne d'information, 2379;06/08/2021;MRT;Mauritanie;6;Brakna;61;M'Bagne;37;1;;;;;1;Agence Mauritanienne d'information
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
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. 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 HERA - Humanitarian Emergency Response Africa 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_mauritania_coronavirus_covid_19_city_level,
  title     = {Mauritania: Coronavirus (Covid-19) City level},
  author    = {HERA - Humanitarian Emergency Response Africa},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/mauritania-coronavirus-covid-19-city-level},
  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.