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electricsheepasia/asia-owid-cardiac-procedures-per-million-people

Cardiac Procedures Per Million People | Asia (Our World in Data) 🌏 39 observations · 10 Asia countries · 2012–2022 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 39 observations of Cardiac Procedures Per Million People data across 10 Asia countries, spanning 2012–2022. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Cardiac Procedures Per Million People Geographic… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-cardiac-procedures-per-million-people.

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Dataset Card

Cardiac Procedures Per Million People | Asia (Our World in Data)

🌏 39 observations · 10 Asia countries · 2012–2022 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 39 observations of Cardiac Procedures Per Million People data across 10 Asia countries, spanning 2012–2022.

About the source

Geographic coverage

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

CountryRowsFirst yearLast year
AZE620142022
ARM520142022
GEO520132022
KGZ520142022
TUR520142022
ISR420122022
KAZ320132022
CYP320142022
UZB220192022
LBN120142014

Schema

ColumnTypeDescriptionExample
country_namestring—Armenia
country_iso3string—ARM
yearint64—2014
Coronary angiography and diagnostic cardiac catheterizationsfloat64—2456.2
Coronary stentsfloat64——
Pacemaker implantationsfloat64—42.9
Implantable cardioverter defibrillator (ICD) implantationsfloat64—8.3
Percutaneous aortic valve implantation (TAVI)float64—0.0

Data quality & caveats

  • —Coronary angiography and diagnostic cardiac catheterizations column has 28.2% null values (filtered to non-null in this dataset).

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-cardiac-procedures-per-million-people")
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="Coronary angiography and diagnostic cardiac catheterizations")

Citation

bibtex
@misc{asia_owid_cardiac_procedures_per_million_people_2022,
  title        = {Cardiac Procedures Per Million People | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2022},
  url          = {https://ourworldindata.org/grapher/cardiac-procedures-per-million-people},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-cardiac-procedures-per-million-people}}
}

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 2026-06-05 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/cardiac-procedures-per-million-people