electricsheepeurope/europe-who-tobacco-warning-w1a-cigarette-packaging-health-warnings
Tobacco Warning: W1a cigarette packaging health warnings | Europe (WHO GHO) πͺπΊ 1,137 observations Β· 38 Europe countries Β· 2007β2024 Β· Repackaged by Electric Sheep Europe TL;DR This dataset contains 1,137 observations of Tobacco Warning: W1a cigarette packaging health warnings data across 38 Europe countries, spanning 2007β2024, covering 1 distinct indicators. About the source Source: WHO Global Health Observatory Publisher: World Healthβ¦ See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-who-tobacco-warning-w1a-cigarette-packaging-health-warnings.
Tobacco Warning: W1a cigarette packaging health warnings | Europe (WHO GHO)
πͺπΊ 1,137 observations Β· 38 Europe countries Β· 2007β2024 Β· Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)
TL;DR
This dataset contains 1,137 observations of Tobacco Warning: W1a cigarette packaging health warnings data across 38 Europe countries, spanning 2007β2024, covering 1 distinct indicators.
About the source
- Source: WHO Global Health Observatory
- Publisher: World Health Organization
- License: cc-by-4.0
- Topic: Tobacco Warning: W1a cigarette packaging health warnings
Geographic coverage
38 Europe countries Β· top rows shown below, sorted by row count:
Indicators (sample)
TOBACCO_MPOWER_W1A_CIGARETTES
Schema
Disaggregation dimensions
The following columns provide disaggregation dimensions:
- `dim1_type` (1 unique values):
TOBACCO_INDICATOR - `dim1` (3 unique values):
TOBACCO_INDICATOR_W2_pc_front_back_A,TOBACCO_INDICATOR_W3_pc_front_A,TOBACCO_INDICATOR_W4_pc_back_A
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepeurope/europe-who-tobacco-warning-w1a-cigarette-packaging-health-warnings")
df = ds["train"].to_pandas()
print(df.head())Filter to one country
germany = df[df["country_iso3"] == "DEU"]Time-series for a single indicator
sample = (df[df["indicator_code"] == "TOBACCO_MPOWER_W1A_CIGARETTES"]
.sort_values("year"))
sample.plot(x="year", y="value_numeric", title="TOBACCO_MPOWER_W1A_CIGARETTES")Pivot to country Γ year matrix
matrix = (df[df["indicator_code"] == "TOBACCO_MPOWER_W1A_CIGARETTES"]
.pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())Citation
@misc{europe_who_tobacco_warning_w1a_cigarette_packaging_health_warnings_2024,
title = {Tobacco Warning: W1a cigarette packaging health warnings | Europe (WHO GHO)},
author = {World Health Organization},
year = {2024},
url = {https://www.who.int/data/gho},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-who-tobacco-warning-w1a-cigarette-packaging-health-warnings}}
}License
Released under cc-by-4.0.
Original data Β© World Health Organization. When using this dataset, please cite both the original source above and the Electric Sheep Europe repackaging.
About Electric Sheep
Electric Sheep Europe is part of the Electric Sheep mission: a unified, ML-ready data layer for Europe on HuggingFace. 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/electricsheepeurope
Provenance: ingested 2026-05-31 via the Electric Sheep pipeline. Source URL: https://www.who.int/data/gho
