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country_name
stringclasses
7 values
country_iso3
stringclasses
7 values
year
int64
2.01k
2.02k
Number of cases of yaws reported
int64
11
35.2k
Benin
BEN
2,010
45
Benin
BEN
2,012
11
Cameroon
CMR
2,010
802
Cameroon
CMR
2,011
133
Cameroon
CMR
2,012
59
Cameroon
CMR
2,013
97
Cameroon
CMR
2,014
530
Cameroon
CMR
2,015
463
Cameroon
CMR
2,016
890
Central African Republic
CAF
2,008
243
Central African Republic
CAF
2,012
230
Congo
COG
2,009
646
Congo
COG
2,012
197
Cote d'Ivoire
CIV
2,010
3,740
Cote d'Ivoire
CIV
2,011
3,343
Cote d'Ivoire
CIV
2,012
3,092
Cote d'Ivoire
CIV
2,013
2,256
Cote d'Ivoire
CIV
2,014
2,650
Cote d'Ivoire
CIV
2,015
1,940
Cote d'Ivoire
CIV
2,016
1,581
Democratic Republic of Congo
COD
2,008
383
Ghana
GHA
2,008
20,525
Ghana
GHA
2,009
35,248
Ghana
GHA
2,010
18,157
Ghana
GHA
2,011
9,674
Ghana
GHA
2,012
8,980
Ghana
GHA
2,013
18,702

Number Of Reported Yaws Cases | Africa (Our World in Data) | Africa (Electric Sheep Africa metadata inventory)

Size category: n<1K - Formats: parquet - Sector: other_unclassified - Engineered by Electric Sheep Africa

size sector downloads license

TL;DR

This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.

What This Dataset Covers

Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.

Dataset context from the existing Hugging Face card: Number Of Reported Yaws Cases | Africa (Our World in Data) 🌍 34 observations · 8 Africa countries · 2008–2016 · Repackaged by Electric Sheep Africa TL;DR This dataset contains 34 observations of Number Of Reported Yaws Cases data across 8 Africa countries, spanning 2008–2016. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Number Of Reported Yaws Cases Geographic coverage 8… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-owid-number-of-reported-yaws-cases.

Dataset Profile

Field Value
Hugging Face repo electricsheepafrica/africa-owid-number-of-reported-yaws-cases
Sector other_unclassified
Topic tags tabular, our-world-in-data, number-of-reported-yaws-cases, owid, long-run-series, time-series
Modalities tabular, text
Formats parquet
Size category n<1K
Countries Africa-wide or source-defined African coverage
ISO3 coverage not declared
Last modified on HF 2026-06-06 01:46:31+00:00
Inventory snapshot 2026-07-16T16:00:34Z

How To Read This Dataset

  • Start from the repository files and the dataset viewer when available.
  • Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
  • Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
  • Preserve missing values until you have a defensible imputation rule.

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-owid-number-of-reported-yaws-cases")
print(ds)

split_name = next(iter(ds))
table = ds[split_name]
print(table.features)
print(table[:3])

Convert To Pandas When Tabular

from datasets import Dataset

first_split = ds[next(iter(ds))]
if isinstance(first_split, Dataset):
    df = first_split.to_pandas()
    print(df.head())

Data Quality Notes

  • This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
  • Exact schema, row counts, and source files should be inspected in the repository data files.
  • Metadata gaps from the inventory: country, sector, upstream_publisher.
  • Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.

Source And Provenance

Suggested Analyses

  • Inspect schema and missingness before modeling.
  • Profile variables by geography, time, and subgroup columns where present.
  • Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
  • Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.

Citation

@misc{electric_sheep_africa_africa_owid_number_of_reported_yaws_cases_2026,
  title        = {Number Of Reported Yaws Cases | Africa (Our World in Data) | Africa (Electric Sheep Africa metadata inventory)},
  author       = {Public dataset metadata},
  year         = {2026},
  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-owid-number-of-reported-yaws-cases},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-number-of-reported-yaws-cases}}
}

License

Released under CC BY 4.0.

Original source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.


Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: catalog/esa_metadata_inventory/master_metadata.jsonl.

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