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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.

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Dataset Card

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

rows countries years indicators license

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

Geographic coverage

1 Africa country:

CountryRowsFirst yearLast yearName
NER4419002027Niger

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

ColumnTypeDescriptionExample
indicator_idstringStable indicator identifier.cholera-outbreaks-in-central-and-west-africa-2017-regional-update-882c5b
indicator_namestringHuman-readable indicator name.Cholera Outbreaks in Central and West Africa : 2017 Regional Update
country_iso3stringISO3 country code.NER
source_sheetstringWorkbook sheet name, when the source is a spreadsheet.WeeklyCholerabyCountry-Cases-20
country_namestringCountry name.Niger
yearInt64Observation year.2027
valuefloat64Numeric observation value.1.0
unitstringMeasurement unit, when available.source_units_unspecified
dimension_codstringSource dimension.GHA
dimension_dr_congostringSource dimension.Ghana
dimension_d_874stringSource dimension.2
dimension_d_692stringSource dimension.4
dimension_d_529stringSource dimension.0
dimension_d_612stringSource dimension.0
dimension_d_569stringSource dimension.0
dimension_d_624stringSource dimension.0
dimension_d_656stringSource dimension.0
dimension_d_701stringSource dimension.0
dimension_d_918stringSource dimension.2
dimension_d_753stringSource dimension.0
dimension_d_647stringSource dimension.0
dimension_d_712stringSource dimension.0
dimension_d_503stringSource dimension.0
dimension_d_364stringSource dimension.0
dimension_d_310stringSource dimension.0
dimension_d_392stringSource dimension.0
dimension_d_332stringSource dimension.0
dimension_d_373stringSource dimension.3
dimension_d_466stringSource dimension.2
dimension_d_448stringSource dimension.0
dimension_d_665stringSource dimension.2
dimension_d_492stringSource dimension.0
dimension_d_527stringSource dimension.0
dimension_d_624_2stringSource dimension.0
dimension_d_535stringSource dimension.0
dimension_d_585stringSource dimension.0
dimension_d_811stringSource dimension.0
dimension_d_936stringSource dimension.0
dimension_d_1012stringSource dimension.0
dimension_d_1107stringSource dimension.0
dimension_d_1083stringSource dimension.0
dimension_d_1209stringSource dimension.0
dimension_d_1581stringSource dimension.0
dimension_d_1670stringSource dimension.0
dimension_d_1842stringSource dimension.0
dimension_d_1620stringSource dimension.0
dimension_d_2219stringSource dimension.0
dimension_d_2504stringSource dimension.0
dimension_d_2251stringSource dimension.0
dimension_d_2033stringSource dimension.0
dimension_d_1898stringSource dimension.0
dimension_d_1469stringSource dimension.0
dimension_d_1623stringSource dimension.0
dimension_d_1395stringSource dimension.0
dimension_d_1207stringSource dimension.0
dimension_d_1049stringSource dimension.0
dimension_d_820stringSource dimension.0
dimension_d_888stringSource dimension.0
dimension_d_55028stringSource dimension.16
source_period_start_yearInt64First year inferred from source resource metadata.2017
source_period_end_yearInt64Last year inferred from source resource metadata.2017
source_period_labelcategoryHuman-readable period inferred from source resource metadata.2017
source_providercategoryPublishing organization.Regional Cholera Platform in West and Central Africa (inactive)
source_datasetcategorySource package title.Cholera Outbreaks in Central and West Africa : 2017 Regional Update
source_resourcecategorySource resource title.wca_Cases2017_RegCholeraPlatformWCA.xlsx
source_package_idcategoryCKAN package UUID.bc3d8708-aaa9-44af-b86b-546da32dfb5a
source_resource_idcategoryCKAN resource UUID.4f727349-9638-4fdd-9ce3-10d96b299c58
source_urlcategoryOriginal source resource URL.https://data.humdata.org/dataset/bc3d8708-aaa9-44af-b86b-546da32dfb5a/re
license_idcategorySource license identifier.cc-by
retrieved_atcategoryUTC retrieval timestamp.2026-08-14T00:35:21Z

Usage

python
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

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

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_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