electricsheepafrica/africa-tunisia-donnee-sur-le-financement-public-des-associations-culturel-ae2a6acf

Donnee Sur Le Financement Public Des Associations Culturel | Africa (Tunisia Open Data)

70 rows - 1 Africa country/area - 2016-2019 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 70 rows from Tunisia Open Data, covering Donnee Sur Le Financement Public Des Associations Culturel. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Economic datasets help analysts examine production, prices, public finance, trade flows, market conditions, and macroeconomic change.

Source-provided context: Ce jeux de données contient les subventions attribues aux associations culturelles dans le cadre des financements public pendant les années 2016, 2017, 2018 et 2019 de la délégation régionale de la culture Nabeul.

How To Read This Dataset

• —One row means: one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
• —Primary geography column: country_iso3.
• —Best time column: not detected.
• —Time coverage basis: source metadata.
• —Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Geographic Coverage

Top areas shown below, sorted by row count when available:

Indicators, Variables, Or Resource Contents

• —This repo preserves one source tabular resource with its usable columns kept together.

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-tunisia-donnee-sur-le-financement-public-des-associations-culturel-ae2a6acf")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

print(df.info())
print(df.head())

Filter By Geography

if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "TUN"]

Time-Series Pattern

if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

• —No canonical year/date column was detected in the packaged table; use source metadata and domain context for temporal interpretation.
• —Missing values are preserved rather than silently imputed.
• —Column names are standardized for machine use; source meanings are preserved where known.
• —Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

• —Source: Tunisia Open Data
• —Publisher: Minstère des affaires culturelles
• —Portal: https://catalog.data.gov.tn
• —Resource: Données sur le subvention public des associations culturelles de Nabeul
• —License: other-open
• —Retrieved/generated: 2026-07-19T00:24:18Z
• —Hugging Face repo: electricsheepafrica/africa-tunisia-donnee-sur-le-financement-public-des-associations-culturel-ae2a6acf

Transformations Applied

• —Converted the source table to Parquet for efficient analytics and ML workflows.
• —Added or preserved source provenance columns where available.
• —Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
• —Preserved source-reported values without analytical imputation.

Suggested Analyses

• —Build time-series dashboards
• —Compare economic indicators
• —Join with population or sector data
• —Check missingness before modeling
• —Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_tunisia_donnee_sur_le_financement_public_des_associations_culturel_ae2a6a_2019,
  title        = {Donnee Sur Le Financement Public Des Associations Culturel | Africa (Tunisia Open Data)},
  author       = {Minstère des affaires culturelles},
  year         = {2019},
  url          = {https://catalog.data.gov.tn/dataset/donnee-sur-le-financement-public-des-associations-culturelles-du-nabeul},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-donnee-sur-le-financement-public-des-associations-culturel-ae2a6acf}}
}

License

Released under other-open.

Original data is published by Minstère des affaires culturelles. Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.

Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://catalog.data.gov.tn/dataset/donnee-sur-le-financement-public-des-associations-culturelles-du-nabeul