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electricsheepeurope/europe-owid-annual-percentage-change-in-solar-and-wind-energy-generation

Annual Percentage Change In Solar And Wind Energy Generation | Europe (Our World in Data) šŸ‡ŖšŸ‡ŗ 940 observations Ā· 33 Europe countries Ā· 1979–2024 Ā· Repackaged by Electric Sheep Europe TL;DR This dataset contains 940 observations of Annual Percentage Change In Solar And Wind Energy Generation data across 33 Europe countries, spanning 1979–2024. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic:… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-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 | Europe (Our World in Data)

šŸ‡ŖšŸ‡ŗ 940 observations Ā· 33 Europe countries Ā· 1979–2024 Ā· Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 940 observations of Annual Percentage Change In Solar And Wind Energy Generation data across 33 Europe countries, spanning 1979–2024.

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

33 Europe countries Ā· top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
DNK4619792024
SWE4119842024
GBR3919852024
NLD3819872024
DEU3819872024
GRC3719882024
BEL3719882024
ITA3519902024
ESP3519902024
PRT3519902024
FIN3419912024
CHE3419912024
FRA3419912024
IRL3219932024
AUT3119942024
...18 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Austria
country_iso3string—AUT
yearint64—1994
Solar and windfloat64—0.0

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-annual-percentage-change-in-solar-and-wind-energy-generation")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
germany = df[df["country_iso3"] == "DEU"]

Time-series for a single indicator

python
sample = df.sort_values("year")
sample.plot(x="year", y="Solar and wind")

Citation

bibtex
@misc{europe_owid_annual_percentage_change_in_solar_and_wind_energy_generation_2024,
  title        = {Annual Percentage Change In Solar And Wind Energy Generation | Europe (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 Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-annual-percentage-change-in-solar-and-wind-energy-generation}}
}

License

Released under cc-by-4.0.

Original data Ā© Our World in Data. When using this dataset, please cite both the original source above and the Electric Sheep Europe repackaging.

About Electric Sheep

Electric Sheep Europe is part of the Electric Sheep mission: a unified, ML-ready data layer for Europe 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/electricsheepeurope


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