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electricsheepeurope/europe-owid-interventions-ntds-sdgs

Interventions Ntds Sdgs | Europe (Our World in Data) 🇪🇺 630 observations · 42 Europe countries · 2010–2024 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 630 observations of Interventions Ntds Sdgs data across 42 Europe countries, spanning 2010–2024. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Interventions Ntds Sdgs Geographic coverage 42 Europe… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-interventions-ntds-sdgs.

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Dataset Card

Interventions Ntds Sdgs | Europe (Our World in Data)

🇪🇺 630 observations · 42 Europe countries · 2010–2024 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 630 observations of Interventions Ntds Sdgs data across 42 Europe countries, spanning 2010–2024.

About the source

Geographic coverage

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

CountryRowsFirst yearLast year
ALB1520102024
AND1520102024
AUT1520102024
BEL1520102024
BGR1520102024
BIH1520102024
BLR1520102024
CHE1520102024
CZE1520102024
DEU1520102024
DNK1520102024
ESP1520102024
EST1520102024
FIN1520102024
FRA1520102024
...27 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Albania
country_iso3string—ALB
yearint64—2010
Reported number of people requiring interventions against NTDsint64—61

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-interventions-ntds-sdgs")
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="Reported number of people requiring interventions against NTDs")

Citation

bibtex
@misc{europe_owid_interventions_ntds_sdgs_2024,
  title        = {Interventions Ntds Sdgs | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/interventions-ntds-sdgs},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-interventions-ntds-sdgs}}
}

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 2026-06-06 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/interventions-ntds-sdgs