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2.02k
2.02k
Alcohol-attributable fractions, all-cause deaths (%) - Sex: both sexes - Age group: Total (All ages)
float64
0.39
9.11
Algeria
DZA
2,019
1.0572
Angola
AGO
2,019
6.56265
Benin
BEN
2,019
5.02344
Botswana
BWA
2,019
6.5644
Burkina Faso
BFA
2,019
4.74436
Burundi
BDI
2,019
4.65847
Cameroon
CMR
2,019
7.00462
Cape Verde
CPV
2,019
8.75317
Central African Republic
CAF
2,019
3.88266
Chad
TCD
2,019
2.77932
Comoros
COM
2,019
0.55052
Congo
COG
2,019
7.67548
Cote d'Ivoire
CIV
2,019
3.15327
Democratic Republic of Congo
COD
2,019
4.34397
Djibouti
DJI
2,019
1.4491
Egypt
EGY
2,019
2.06673
Equatorial Guinea
GNQ
2,019
5.99198
Eritrea
ERI
2,019
2.67494
Eswatini
SWZ
2,019
6.98948
Ethiopia
ETH
2,019
4.27325
Gabon
GAB
2,019
9.11243
Gambia
GMB
2,019
1.9409
Ghana
GHA
2,019
6.04878
Guinea
GIN
2,019
1.16599
Guinea-Bissau
GNB
2,019
4.81026
Kenya
KEN
2,019
4.98718
Lesotho
LSO
2,019
5.2241
Liberia
LBR
2,019
4.58356
Libya
LBY
2,019
0.39108
Madagascar
MDG
2,019
2.41922
Malawi
MWI
2,019
4.37193
Mali
MLI
2,019
2.13184
Mauritania
MRT
2,019
0.40274
Mauritius
MUS
2,019
3.8691
Morocco
MAR
2,019
1.06344
Mozambique
MOZ
2,019
2.18001
Namibia
NAM
2,019
6.56825
Niger
NER
2,019
0.7815
Nigeria
NGA
2,019
3.77106
Rwanda
RWA
2,019
4.68955
Sao Tome and Principe
STP
2,019
7.38821
Senegal
SEN
2,019
1.23298

Alcohol Attributable Fraction Of Mortality | Africa (Our World in Data) | Africa (Electric Sheep Africa metadata inventory)

Size category: n<1K - Formats: parquet - Sector: health - 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

Health datasets help researchers examine disease burden, service delivery, risk factors, outcomes, and public-health program performance.

Dataset context from the existing Hugging Face card: Alcohol Attributable Fraction Of Mortality | Africa (Our World in Data) 🌍 53 observations · 53 Africa countries · 2019–2019 · Repackaged by Electric Sheep Africa TL;DR This dataset contains 53 observations of Alcohol Attributable Fraction Of Mortality data across 53 Africa countries, spanning 2019–2019. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Alcohol Attributable Fraction Of Mortality… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-owid-alcohol-attributable-fraction-of-mortality.

Dataset Profile

Field Value
Hugging Face repo electricsheepafrica/africa-owid-alcohol-attributable-fraction-of-mortality
Sector health
Topic tags tabular, our-world-in-data, alcohol-attributable-fraction-of-mortality, 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 2026-06-01 18:44:44+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-alcohol-attributable-fraction-of-mortality")
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, 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_alcohol_attributable_fraction_of_mortality_2026,
  title        = {Alcohol Attributable Fraction Of Mortality | 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-alcohol-attributable-fraction-of-mortality},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-alcohol-attributable-fraction-of-mortality}}
}

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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