electricsheepafrica/africa-tunisia-les-subventions-attribuees-par-secteurs-en-2015-a4756954

Les Subventions Attribuees Par Secteurs En 2015 | Africa (Tunisia Open Data)

6 rows - 1 Africa country/area - 2015 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 6 rows from Tunisia Open Data, covering Les Subventions Attribuees Par Secteurs En 2015. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Official statistics datasets help analysts inspect public data as published by governments, national statistical systems, and regional data portals.

Source-provided context: Les subventions affectées au profit des projets, dans le secteur des arts scéniques, des lettres, de lecture et d’édition, du patrimoine culturelle, d’ artisanat d'art, des arts plastiques,de photographie solaire, des arts audio-visuels, de la musique et danse, et dans le secteur des arts vivants au cours de l'année 2015.

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: year.
• Time coverage basis: year.
• Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension	Value
Rows	6
Countries/areas	1
First period	2015
Last period	2015
Indicators	0
Columns	17
Source format	CSV

Geographic Coverage

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

Area	Rows	First year	Last year	Name
TUN	6	2015	2015	Tunisia

Indicators, Variables, Or Resource Contents

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

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier assigned during Electric Sheep Africa engineering.	2dde398b-3ce4-4bb3-aca8-65dd2f763f87:0
country_iso3	string	ISO3 country or area code.	TUN
country_name	string	Country or area name.	Tunisia
year	int64	Observation year.	2015
secteur	string	Source column from the original resource.	Arts sceniques
subvention	double	Source column from the original resource.	412.35
source_period_start_year	int64	Start year inferred from source metadata.	2015
source_period_end_year	int64	End year inferred from source metadata.	2015
source_period_label	string	Source column from the original resource.	2015
source_provider	string	Publishing organization.	Minstère des affaires culturelles
source_dataset	string	Source dataset or package title.	Les subventions attribuées par secteurs en 2015
source_resource	string	Source resource title, table name, or file name.	Les subventions selon les secteurs au cours de l'année 2015
source_package_id	string	Source package identifier.	05a21f64-292b-4c42-8722-07075ef455ee
source_resource_id	string	Source resource identifier.	2dde398b-3ce4-4bb3-aca8-65dd2f763f87
source_url	string	Original source URL or download URL.	http://www.openculture.gov.tn/dataset/9b0116af-77ca-4fc1-868a-fc91b24...
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-07-18T23:08:36Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-tunisia-les-subventions-attribuees-par-secteurs-en-2015-a4756954")
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

• Canonical time field: year.
• 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: Les subventions selon les secteurs au cours de l'année 2015
• License: other-open
• Retrieved/generated: 2026-07-19T00:16:35Z
• Hugging Face repo: electricsheepafrica/africa-tunisia-les-subventions-attribuees-par-secteurs-en-2015-a4756954

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

• Profile the distribution of values
• Compare categories or geographies
• Join with complementary public datasets
• Build time-series views and period-over-period comparisons
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_tunisia_les_subventions_attribuees_par_secteurs_en_2015_a4756954_2015,
  title        = {Les Subventions Attribuees Par Secteurs En 2015 | Africa (Tunisia Open Data)},
  author       = {Minstère des affaires culturelles},
  year         = {2015},
  url          = {https://catalog.data.gov.tn/dataset/les-subventions-attribuees-selon-les-secteurs-au-cours-de-l-annee-2015},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-les-subventions-attribuees-par-secteurs-en-2015-a4756954}}
}

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.

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Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://catalog.data.gov.tn/dataset/les-subventions-attribuees-selon-les-secteurs-au-cours-de-l-annee-2015