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electricsheepeurope/europe-owid-legislative-constraints-on-the-executive-index

Legislative Constraints On The Executive Index | Europe (Our World in Data) πŸ‡ͺπŸ‡Ί 6,692 observations Β· 40 Europe countries Β· 1789–2025 Β· Repackaged by Electric Sheep Europe TL;DR This dataset contains 6,692 observations of Legislative Constraints On The Executive Index data across 40 Europe countries, spanning 1789–2025. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Legislative Constraints On… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-legislative-constraints-on-the-executive-index.

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Dataset Card

Legislative Constraints On The Executive Index | Europe (Our World in Data)

πŸ‡ͺπŸ‡Ί 6,692 observations Β· 40 Europe countries Β· 1789–2025 Β· Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 6,692 observations of Legislative Constraints On The Executive Index data across 40 Europe countries, spanning 1789–2025.

About the source

  • β€”Source: Our World in Data
  • β€”Publisher: Our World in Data
  • β€”License: cc-by-4.0
  • β€”Topic: Legislative Constraints On The Executive Index

Geographic coverage

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

CountryRowsFirst yearLast year
SWE23717892025
IRL23717892025
FIN23717892025
GBR23717892025
BGR23417892025
SRB23417892025
FRA23217892025
GRC23017892025
CHE22817982025
NLD22817952025
ESP22617892025
BEL22217962025
HUN22017892025
SVK21417892025
NOR20818152025
...25 more countries

Schema

ColumnTypeDescriptionExample
country_namestringβ€”Albania
country_iso3stringβ€”ALB
yearint64β€”1912
Legislative constraints on the executive indexfloat64β€”0.357
World region according to OWIDstringβ€”Europe

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-legislative-constraints-on-the-executive-index")
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="Legislative constraints on the executive index")

Citation

bibtex
@misc{europe_owid_legislative_constraints_on_the_executive_index_2025,
  title        = {Legislative Constraints On The Executive Index | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2025},
  url          = {https://ourworldindata.org/grapher/legislative-constraints-on-the-executive-index},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-legislative-constraints-on-the-executive-index}}
}

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 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 2026-06-06 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/legislative-constraints-on-the-executive-index