electricsheepafrica/africa-niger-cholera-outbreaks-in-central-and-west-africa-2017-regional-882c5bf2
Cholera Outbreaks in Central and West Africa : 2017 Regional Update | Africa (Niger official open data) 44 rows - 1 Africa country - 1900-2027 - Repackaged by Electric Sheep Africa TL;DR This dataset packages one official XLSX resource from Niger 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: Cholera Outbreaks in… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-niger-cholera-outbreaks-in-central-and-west-africa-2017-regional-882c5bf2.
Cholera Outbreaks in Central and West Africa : 2017 Regional Update | Africa (Niger official open data)
44 rows - 1 Africa country - 1900-2027 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official XLSX resource from Niger 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: Cholera Outbreaks in Central and West Africa : 2017 Regional Update
- Publisher: Regional Cholera Platform in West and Central Africa (inactive)
- Resource: wca_Cases2017_RegCholeraPlatformWCA.xlsx
- Format:
XLSX - License: CC BY 4.0
- Packaging mode:
indicator_long
Geographic coverage
1 Africa country:
Indicators or Resource Contents
cholera-outbreaks-in-central-and-west-africa-2017-regional-update-882c5bf2- Cholera Outbreaks in Central and West Africa : 2017 Regional Update
Schema
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-niger-cholera-outbreaks-in-central-and-west-africa-2017-regional-882c5bf2")
df = ds["train"].to_pandas()
print(df.head())Filter to one country
sample_country = df[df["country_iso3"] == "NER"]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_niger_cholera_outbreaks_in_central_and_west_africa_2017_regional_882c5bf2_2027,
title = {Cholera Outbreaks in Central and West Africa : 2017 Regional Update | Africa (Niger official open data)},
author = {Regional Cholera Platform in West and Central Africa (inactive)},
year = {2027},
url = {https://data.humdata.org/dataset/cholera-outbreaks-in-central-and-west-africa-2017-regional-update},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-niger-cholera-outbreaks-in-central-and-west-africa-2017-regional-882c5bf2}}
}License
Released under CC BY 4.0.
Original data (c) Regional Cholera Platform in West and Central Africa (inactive). 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 2026-08-14 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/bc3d8708-aaa9-44af-b86b-546da32dfb5a/resource/4f727349-9638-4fdd-9ce3-10d96b299c58/download/wcacases2017regcholeraplatformwca.xlsx
