electricsheepafrica/africa-cameroon-data-for-the-covid-19-data-explorer-9c79f397

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

2,598 rows - 1 Africa country - 2022-2023 - 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 - national data
• —Format: CSV
• —License: CC BY 4.0
• —Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Indicators or Resource Contents

• —data-for-the-covid-19-data-explorer-population-252c2e5c - Data for the Covid-19 Data Explorer - population
• —data-for-the-covid-19-data-explorer-cumulative-cases-1c6946b0 - Data for the Covid-19 Data Explorer - cumulative cases
• —data-for-the-covid-19-data-explorer-cumulative-deaths-6b52e46d - Data for the Covid-19 Data Explorer - cumulative deaths
• —data-for-the-covid-19-data-explorer-weekly-cum-cases-d96eb7fb - Data for the Covid-19 Data Explorer - weekly cum cases
• —data-for-the-covid-19-data-explorer-weekly-cum-deaths-a4f0a24f - Data for the Covid-19 Data Explorer - weekly cum deaths
• —data-for-the-covid-19-data-explorer-weekly-new-cases-9167b41d - Data for the Covid-19 Data Explorer - weekly new cases
• —data-for-the-covid-19-data-explorer-weekly-new-deaths-0ebc3d77 - Data for the Covid-19 Data Explorer - weekly new deaths
• —data-for-the-covid-19-data-explorer-weekly-new-cases-per-ht-3722617c - Data for the Covid-19 Data Explorer - weekly new cases per ht
• —data-for-the-covid-19-data-explorer-weekly-new-deaths-per-ht-76aae444 - Data for the Covid-19 Data Explorer - weekly new deaths per ht
• —data-for-the-covid-19-data-explorer-weekly-new-cases-change-cdc6c743 - Data for the Covid-19 Data Explorer - weekly new cases change
• —data-for-the-covid-19-data-explorer-weekly-new-deaths-change-8446d585 - Data for the Covid-19 Data Explorer - weekly new deaths change
• —data-for-the-covid-19-data-explorer-weekly-new-cases-pc-change-2cab72b6 - Data for the Covid-19 Data Explorer - weekly new cases pc change
• —data-for-the-covid-19-data-explorer-weekly-new-deaths-pc-change-f34207bf - Data for the Covid-19 Data Explorer - weekly new deaths pc change
• —data-for-the-covid-19-data-explorer-economicexposure-9f192502 - Data for the Covid-19 Data Explorer - economicexposure
• —data-for-the-covid-19-data-explorer-malnutrition-estimate-4c748849 - Data for the Covid-19 Data Explorer - malnutrition estimate
• —data-for-the-covid-19-data-explorer-peopleinneed-117dd1ba - Data for the Covid-19 Data Explorer - peopleinneed
• —data-for-the-covid-19-data-explorer-totalidps-0350927f - Data for the Covid-19 Data Explorer - totalidps
• —data-for-the-covid-19-data-explorer-cbpffunding-4f6f0dfa - Data for the Covid-19 Data Explorer - cbpffunding
• —data-for-the-covid-19-data-explorer-cbpffundinggmempty-98b88897 - Data for the Covid-19 Data Explorer - cbpffundinggmempty
• —data-for-the-covid-19-data-explorer-cbpffundinggm0-ca917e3f - Data for the Covid-19 Data Explorer - cbpffundinggm0

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-cameroon-data-for-the-covid-19-data-explorer-9c79f397")
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_9c79f397_2023,
  title        = {Data for the Covid-19 Data Explorer | Africa (Cameroon official open data)},
  author       = {HDX},
  year         = {2023},
  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-9c79f397}}
}

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=0&single=true&output=csv