electricsheepeurope/europe-who-physiotherapy-technicians-and-assistants
Physiotherapy Technicians and Assistants (number) | Europe (WHO GHO) ๐ช๐บ 23 observations ยท 10 Europe countries ยท 2000โ2024 ยท Repackaged by Electric Sheep Europe TL;DR This dataset contains 23 observations of Physiotherapy Technicians and Assistants (number) data across 10 Europe countries, spanning 2000โ2024, covering 1 distinct indicators. About the source Source: WHO Global Health Observatory Publisher: World Health Organization License:โฆ See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-who-physiotherapy-technicians-and-assistants.
Physiotherapy Technicians and Assistants (number) | Europe (WHO GHO)
๐ช๐บ 23 observations ยท 10 Europe countries ยท 2000โ2024 ยท Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)
TL;DR
This dataset contains 23 observations of Physiotherapy Technicians and Assistants (number) data across 10 Europe countries, spanning 2000โ2024, covering 1 distinct indicators.
About the source
- Source: WHO Global Health Observatory
- Publisher: World Health Organization
- License: cc-by-4.0
- Topic: Physiotherapy Technicians and Assistants (number)
Geographic coverage
10 Europe countries ยท top rows shown below, sorted by row count:
Indicators (sample)
HWF_0022
Schema
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepeurope/europe-who-physiotherapy-technicians-and-assistants")
df = ds["train"].to_pandas()
print(df.head())Filter to one country
germany = df[df["country_iso3"] == "DEU"]Time-series for a single indicator
sample = (df[df["indicator_code"] == "HWF_0022"]
.sort_values("year"))
sample.plot(x="year", y="value_numeric", title="HWF_0022")Pivot to country ร year matrix
matrix = (df[df["indicator_code"] == "HWF_0022"]
.pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())Citation
@misc{europe_who_physiotherapy_technicians_and_assistants_2024,
title = {Physiotherapy Technicians and Assistants (number) | Europe (WHO GHO)},
author = {World Health Organization},
year = {2024},
url = {https://www.who.int/data/gho},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-who-physiotherapy-technicians-and-assistants}}
}License
Released under cc-by-4.0.
Original data ยฉ World Health Organization. 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 2026-05-31 via the Electric Sheep pipeline. Source URL: https://www.who.int/data/gho
