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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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-cameroon-data-for-the-covid-19-data-explorer-e8b11e82.

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Dataset Card

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

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

rows countries years indicators license

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

Geographic coverage

1 Africa country:

CountryRowsFirst yearLast yearName
CMR490n/an/aCameroon

Indicators or Resource Contents

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

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier for tabular resources.05ec67a3-a21d-4706-b2f2-1d43386df621:0
country_iso3categoryISO3 country code.CMR
country_namecategoryCountry name.Cameroon
iso3stringSource column.#country+code
countrynamestringSource column.#country+name
adm1_pcodestringSource column.#adm1+code
adm1_namestringSource column.#adm1+name
populationfloat64Source column.``
foodinsecurityipcp3float64Source column.``
foodinsecuritychp3float64Source column.``
foodinsecuritychp4float64Source column.``
foodinsecuritychp5float64Source column.``
foodinsecuritychp3_2float64Source column.``
foodinsecuritychanalysedfloat64Source column.``
nohealthfacilitiesfloat64Source column.``
hepb1_coveragefloat64Source column.``
hepb2_coveragefloat64Source column.``
hepb3_coveragefloat64Source column.``
ipv1_coveragefloat64Source column.``
mcv1_coveragefloat64Source column.``
mcv2_coveragefloat64Source column.``
pol1_coveragefloat64Source column.``
pol2_coveragefloat64Source column.``
pol3_coveragefloat64Source column.``
malnutrition_estimatefloat64Source column.``
orgcountadm1float64Source column.``
idpsfloat64Source column.``
source_period_start_yearInt64First year inferred from source resource metadata.``
source_period_end_yearInt64Last year inferred from source resource metadata.``
source_period_labelstringHuman-readable period inferred from source resource metadata.``
source_providercategoryPublishing organization.HDX
source_datasetcategorySource package title.Data for the Covid-19 Data Explorer
source_resourcecategorySource resource title.Covid-19 Data Explorer - subnational data
source_package_idcategoryCKAN package UUID.548470a1-998b-4575-82d5-18217653bde5
source_resource_idcategoryCKAN resource UUID.05ec67a3-a21d-4706-b2f2-1d43386df621
source_urlcategoryOriginal source resource URL.https://docs.google.com/spreadsheets/d/e/2PACX-1vT9_g7AItbqJwDkPi55VyVhq
license_idcategorySource license identifier.cc-by
retrieved_atcategoryUTC retrieval timestamp.2026-08-25T16:58:39Z

Usage

python
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

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

Work with indicators

python
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

bibtex
@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

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