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electricsheepasia/asia-owid-annual-percentage-change-in-solar-and-wind-energy-generation

Annual Percentage Change In Solar And Wind Energy Generation | Asia (Our World in Data) 🌏 543 observations · 28 Asia countries · 1991–2024 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 543 observations of Annual Percentage Change In Solar And Wind Energy Generation data across 28 Asia countries, spanning 1991–2024. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Annual… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-annual-percentage-change-in-solar-and-wind-energy-generation.

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Dataset Card

Annual Percentage Change In Solar And Wind Energy Generation | Asia (Our World in Data)

🌏 543 observations · 28 Asia countries · 1991–2024 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 543 observations of Annual Percentage Change In Solar And Wind Energy Generation data across 28 Asia countries, spanning 1991–2024.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Annual Percentage Change In Solar And Wind Energy Generation

Geographic coverage

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

CountryRowsFirst yearLast year
CHN3419912024
IND3419912024
JPN3419912024
KOR3419912024
TUR2619992024
LKA2520002024
IRN2520002024
BGD2420012024
TWN2420012024
ISR2320022024
CYP2020052024
PHL1920062024
THA1820072024
IDN1720082024
PAK1720082024
...13 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Azerbaijan
country_iso3string—AZE
yearint64—2010
Solar and windfloat64—-76.190475

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-annual-percentage-change-in-solar-and-wind-energy-generation")
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="Solar and wind")

Citation

bibtex
@misc{asia_owid_annual_percentage_change_in_solar_and_wind_energy_generation_2024,
  title        = {Annual Percentage Change In Solar And Wind Energy Generation | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/annual-percentage-change-in-solar-and-wind-energy-generation},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-annual-percentage-change-in-solar-and-wind-energy-generation}}
}

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 2026-06-02 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/annual-percentage-change-in-solar-and-wind-energy-generation