CoolFace
Datasetpublic

electricsheepeurope/europe-owid-progress-toward-productive-and-sustainable-agriculture

Progress Toward Productive And Sustainable Agriculture | Europe (Our World in Data) 🇪🇺 315 observations · 35 Europe countries · 2015–2023 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 315 observations of Progress Toward Productive And Sustainable Agriculture data across 35 Europe countries, spanning 2015–2023. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Progress Toward… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-progress-toward-productive-and-sustainable-agriculture.

sourceHugging Facecc-by-4.0updated 4mo agoView on Hugging Face
0likes5downloads
Dataset Card

Progress Toward Productive And Sustainable Agriculture | Europe (Our World in Data)

🇪🇺 315 observations · 35 Europe countries · 2015–2023 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 315 observations of Progress Toward Productive And Sustainable Agriculture data across 35 Europe countries, spanning 2015–2023.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Progress Toward Productive And Sustainable Agriculture

Geographic coverage

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

CountryRowsFirst yearLast year
AUT920152023
BEL920152023
BGR920152023
BIH920152023
CHE920152023
CZE920152023
DNK920152023
ESP920152023
EST920152023
FIN920152023
FRA920152023
GBR920152023
GRC920152023
HRV920152023
IRL920152023
...20 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Austria
country_iso3string—AUT
yearint64—2015
Progress toward productive and sustainable agriculturefloat64—4.0

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-progress-toward-productive-and-sustainable-agriculture")
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="Progress toward productive and sustainable agriculture")

Citation

bibtex
@misc{europe_owid_progress_toward_productive_and_sustainable_agriculture_2023,
  title        = {Progress Toward Productive And Sustainable Agriculture | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/progress-toward-productive-and-sustainable-agriculture},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-progress-toward-productive-and-sustainable-agriculture}}
}

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 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 2026-06-07 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/progress-toward-productive-and-sustainable-agriculture