electricsheepafrica/africa-cameroon-data-for-the-covid-19-data-explorer-e8b11e82

Data for the Covid-19 Data Explorer | Africa (Cameroon official open data)

490 rows - 1 Africa country - not-applicable - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Cameroon as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

• Source: Data for the Covid-19 Data Explorer
• Publisher: HDX
• Resource: Covid-19 Data Explorer - subnational data
• Format: CSV
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
CMR	490	n/a	n/a	Cameroon

Indicators or Resource Contents

• This source file is packaged as a normalized tabular resource.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier for tabular resources.	05ec67a3-a21d-4706-b2f2-1d43386df621:0
country_iso3	category	ISO3 country code.	CMR
country_name	category	Country name.	Cameroon
iso3	string	Source column.	#country+code
countryname	string	Source column.	#country+name
adm1_pcode	string	Source column.	#adm1+code
adm1_name	string	Source column.	#adm1+name
population	float64	Source column.	``
foodinsecurityipcp3	float64	Source column.	``
foodinsecuritychp3	float64	Source column.	``
foodinsecuritychp4	float64	Source column.	``
foodinsecuritychp5	float64	Source column.	``
foodinsecuritychp3_2	float64	Source column.	``
foodinsecuritychanalysed	float64	Source column.	``
nohealthfacilities	float64	Source column.	``
hepb1_coverage	float64	Source column.	``
hepb2_coverage	float64	Source column.	``
hepb3_coverage	float64	Source column.	``
ipv1_coverage	float64	Source column.	``
mcv1_coverage	float64	Source column.	``
mcv2_coverage	float64	Source column.	``
pol1_coverage	float64	Source column.	``
pol2_coverage	float64	Source column.	``
pol3_coverage	float64	Source column.	``
malnutrition_estimate	float64	Source column.	``
orgcountadm1	float64	Source column.	``
idps	float64	Source column.	``
source_period_start_year	Int64	First year inferred from source resource metadata.	``
source_period_end_year	Int64	Last year inferred from source resource metadata.	``
source_period_label	string	Human-readable period inferred from source resource metadata.	``
source_provider	category	Publishing organization.	HDX
source_dataset	category	Source package title.	Data for the Covid-19 Data Explorer
source_resource	category	Source resource title.	Covid-19 Data Explorer - subnational data
source_package_id	category	CKAN package UUID.	548470a1-998b-4575-82d5-18217653bde5
source_resource_id	category	CKAN resource UUID.	05ec67a3-a21d-4706-b2f2-1d43386df621
source_url	category	Original source resource URL.	https://docs.google.com/spreadsheets/d/e/2PACX-1vT9_g7AItbqJwDkPi55VyVhq
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-25T16:58:39Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-cameroon-data-for-the-covid-19-data-explorer-e8b11e82")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "CMR"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_cameroon_data_for_the_covid_19_data_explorer_e8b11e82_2026,
  title        = {Data for the Covid-19 Data Explorer | Africa (Cameroon official open data)},
  author       = {HDX},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/covid-19-data-visual-inputs},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cameroon-data-for-the-covid-19-data-explorer-e8b11e82}}
}

License

Released under CC BY 4.0.

Original data (c) HDX. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepafrica

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Provenance: ingested 2026-08-25 via the Electric Sheep pipeline. Source URL: https://docs.google.com/spreadsheets/d/e/2PACX-1vT9_g7AItbqJwDkPi55VyVhqOdB81c3FePhqAoFlIL9160mxqtqg-OofaoTZtdq39BATa37PYQ4813k/pub?gid=433791951&single=true&output=csv