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electricsheepasia/asia-owid-continents-according-to-our-world-in-data

Continents According To Our World In Data | Asia (Our World in Data) 🌏 49 observations Β· 49 Asia countries Β· 2023–2023 Β· Repackaged by Electric Sheep Asia TL;DR This dataset contains 49 observations of Continents According To Our World In Data data across 49 Asia countries, spanning 2023–2023. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Continents According To Our World In Data… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-continents-according-to-our-world-in-data.

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Dataset Card

Continents According To Our World In Data | Asia (Our World in Data)

🌏 49 observations Β· 49 Asia countries Β· 2023–2023 Β· Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 49 observations of Continents According To Our World In Data data across 49 Asia countries, spanning 2023–2023.

About the source

  • β€”Source: Our World in Data
  • β€”Publisher: Our World in Data
  • β€”License: cc-by-4.0
  • β€”Topic: Continents According To Our World In Data

Geographic coverage

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

CountryRowsFirst yearLast year
AFG120232023
ARE120232023
ARM120232023
AZE120232023
BGD120232023
BHR120232023
BRN120232023
BTN120232023
CHN120232023
CYP120232023
GEO120232023
IDN120232023
IND120232023
IRN120232023
IRQ120232023
...34 more countries

Schema

ColumnTypeDescriptionExample
country_namestringβ€”Afghanistan
country_iso3stringβ€”AFG
yearint64β€”2023
World region according to OWIDstringβ€”Asia

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-continents-according-to-our-world-in-data")
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="World region according to OWID")

Citation

bibtex
@misc{asia_owid_continents_according_to_our_world_in_data_2023,
  title        = {Continents According To Our World In Data | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/continents-according-to-our-world-in-data},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-continents-according-to-our-world-in-data}}
}

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/continents-according-to-our-world-in-data