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electricsheepasia/asia-owid-importance-government-funding-research-anxiety-depression

Importance Government Funding Research Anxiety Depression | Asia (Our World in Data) 🌏 30 observations · 30 Asia countries · 2020–2020 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 30 observations of Importance Government Funding Research Anxiety Depression data across 30 Asia countries, spanning 2020–2020. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Importance Government… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-importance-government-funding-research-anxiety-depression.

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Dataset Card

Importance Government Funding Research Anxiety Depression | Asia (Our World in Data)

🌏 30 observations · 30 Asia countries · 2020–2020 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 30 observations of Importance Government Funding Research Anxiety Depression data across 30 Asia countries, spanning 2020–2020.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Importance Government Funding Research Anxiety Depression

Geographic coverage

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

CountryRowsFirst yearLast year
ARE120202020
BGD120202020
BHR120202020
CHN120202020
CYP120202020
GEO120202020
IDN120202020
IND120202020
IRN120202020
IRQ120202020
ISR120202020
JOR120202020
JPN120202020
KAZ120202020
KGZ120202020
...15 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Bahrain
country_iso3string—BHR
yearint64—2020
Extremely importantfloat64—66.13331
Somewhat importantfloat64—25.364077
Don't know / No responsefloat64—2.6236744
Not too importantfloat64—3.2779362
Not important at allfloat64—2.6010036

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-importance-government-funding-research-anxiety-depression")
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="Extremely important")

Citation

bibtex
@misc{asia_owid_importance_government_funding_research_anxiety_depression_2020,
  title        = {Importance Government Funding Research Anxiety Depression | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2020},
  url          = {https://ourworldindata.org/grapher/importance-government-funding-research-anxiety-depression},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-importance-government-funding-research-anxiety-depression}}
}

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 2026-06-11 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/importance-government-funding-research-anxiety-depression