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electricsheepasia/asia-owid-deaths-from-cardiovascular-disease-type

Deaths From Cardiovascular Disease Type | Asia (Our World in Data) 🌏 1,034 observations · 47 Asia countries · 2000–2021 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 1,034 observations of Deaths From Cardiovascular Disease Type data across 47 Asia countries, spanning 2000–2021. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Deaths From Cardiovascular Disease Type… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-deaths-from-cardiovascular-disease-type.

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Dataset Card

Deaths From Cardiovascular Disease Type | Asia (Our World in Data)

🌏 1,034 observations · 47 Asia countries · 2000–2021 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 1,034 observations of Deaths From Cardiovascular Disease Type data across 47 Asia countries, spanning 2000–2021.

About the source

Geographic coverage

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

CountryRowsFirst yearLast year
AFG2220002021
ARE2220002021
ARM2220002021
AZE2220002021
BGD2220002021
BHR2220002021
BRN2220002021
BTN2220002021
CHN2220002021
CYP2220002021
GEO2220002021
IDN2220002021
IND2220002021
IRN2220002021
IRQ2220002021
...32 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Afghanistan
country_iso3string—AFG
yearint64—2000
Rheumatic heart diseasefloat64—729.03
Cardiomyopathy, myocarditis, endocarditisfloat64—318.37
Other circulatory diseasesfloat64—1037.35
Hypertensive heart diseasesfloat64—4981.16
Ischaemic strokefloat64—5609.58
Haemorrhagic strokefloat64—9032.26
Ischaemic heart diseasefloat64—21035.12

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-deaths-from-cardiovascular-disease-type")
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="Rheumatic heart disease")

Citation

bibtex
@misc{asia_owid_deaths_from_cardiovascular_disease_type_2021,
  title        = {Deaths From Cardiovascular Disease Type | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2021},
  url          = {https://ourworldindata.org/grapher/deaths-from-cardiovascular-disease-type},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-deaths-from-cardiovascular-disease-type}}
}

License

Released under cc-by-4.0.

Original data © 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 2026-06-03 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/deaths-from-cardiovascular-disease-type