CoolFace
Datasetpublic

electricsheepasia/asia-owid-cardiovascular-disease-death-rate-males-vs-females

Cardiovascular Disease Death Rate Males Vs Females | Asia (Our World in Data) 🌏 866 observations Β· 32 Asia countries Β· 1950–2023 Β· Repackaged by Electric Sheep Asia TL;DR This dataset contains 866 observations of Cardiovascular Disease Death Rate Males Vs Females data across 32 Asia countries, spanning 1950–2023. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Cardiovascular Disease Death Rate… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-cardiovascular-disease-death-rate-males-vs-females.

sourceHugging Facecc-by-4.0updated 4mo agoView on Hugging Face
0likes5downloads
Dataset Card

Cardiovascular Disease Death Rate Males Vs Females | Asia (Our World in Data)

🌏 866 observations Β· 32 Asia countries Β· 1950–2023 Β· Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 866 observations of Cardiovascular Disease Death Rate Males Vs Females data across 32 Asia countries, spanning 1950–2023.

About the source

  • β€”Source: Our World in Data
  • β€”Publisher: Our World in Data
  • β€”License: cc-by-4.0
  • β€”Topic: Cardiovascular Disease Death Rate Males Vs Females

Geographic coverage

32 Asia countries Β· top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
JPN7319502022
SGP6019632022
THA4919692023
ISR4819752022
KWT4319722023
LKA4219552019
KGZ4119812023
KAZ4119812023
ARM3919812023
UZB3819812023
KOR3819852022
GEO3619812023
TKM3319812015
PHL3019632019
TJK3019812022
...17 more countries

Schema

ColumnTypeDescriptionExample
country_namestringβ€”Armenia
country_iso3stringβ€”ARM
yearint64β€”1981
Death rate in menfloat64β€”381.0609
Death rate in womenfloat64β€”284.89124
Populationint64β€”3135354
World region according to OWIDstringβ€”Asia

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-cardiovascular-disease-death-rate-males-vs-females")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
indonesia = df[df["country_iso3"] == "IDN"]

Time-series for a single indicator

python
sample = df.sort_values("year")
sample.plot(x="year", y="Death rate in men")

Citation

bibtex
@misc{asia_owid_cardiovascular_disease_death_rate_males_vs_females_2023,
  title        = {Cardiovascular Disease Death Rate Males Vs Females | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/cardiovascular-disease-death-rate-males-vs-females},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-cardiovascular-disease-death-rate-males-vs-females}}
}

License

Released under cc-by-4.0.

Original data Β© Our World in Data. When using this dataset, please cite both the original source above and the Electric Sheep Asia repackaging.

About Electric Sheep

Electric Sheep Asia is part of the Electric Sheep mission: a unified, ML-ready data layer for Asia 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/electricsheepasia


Provenance: ingested 2026-06-05 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/cardiovascular-disease-death-rate-males-vs-females