electricsheepafrica/africa-tunisia-liste-des-films-subventionnes-par-le-cnci-pendant-2022-et-c3c35dc3

Liste Des Films Subventionnes Par Le Cnci Pendant 2022 Et | Africa (Tunisia Open Data)

99 rows - 1 Africa country/area - 2022-2023 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 99 rows from Tunisia Open Data, covering Liste Des Films Subventionnes Par Le Cnci Pendant 2022 Et. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Demographic datasets help analysts understand population structure, household conditions, migration, gender, age, and settlement patterns.

Source-provided context: Liste des films subventionnés par le CNCI pour les années 2022 et 2023

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

Dimension	Value
Rows	99
Countries/areas	1
First period	2022
Last period	2023
Indicators	0
Columns	19
Source format	CSV

Geographic Coverage

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

Area	Rows	First year	Last year	Name
TUN	99	2022	2023	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.	ed3497f7-609d-4c10-a930-895f402dc4f9:0
country_iso3	string	ISO3 country or area code.	TUN
country_name	string	Country or area name.	Tunisia
annee	int64	Source column from the original resource.	2022
non_du_film	string	Source column from the original resource.	Motherhood
genre_du_film	string	Source column from the original resource.	روائي طويل
societe_de_production	string	Source column from the original resource.	Instinct Bleu
realisateur	string	Source column from the original resource.	مريم جوبر
source_period_start_year	int64	Start year inferred from source metadata.	2022
source_period_end_year	int64	End year inferred from source metadata.	2023
source_period_label	string	Source column from the original resource.	2022-2023
source_provider	string	Publishing organization.	Minstère des affaires culturelles
source_dataset	string	Source dataset or package title.	Liste des films subventionnés par le CNCI pendant 2022 et 2023
source_resource	string	Source resource title, table name, or file name.	Liste des films subventionnés par le CNCI
source_package_id	string	Source package identifier.	64823c1f-19b1-4856-83b3-52b62b8c0434
source_resource_id	string	Source resource identifier.	ed3497f7-609d-4c10-a930-895f402dc4f9
source_url	string	Original source URL or download URL.	http://www.openculture.gov.tn/dataset/eb31ec5d-73d5-4ca7-852d-556b1ce...
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-liste-des-films-subventionnes-par-le-cnci-pendant-2022-et-c3c35dc3")
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: Liste des films subventionnés par le CNCI
• License: other-open
• Retrieved/generated: 2026-07-18T23:13:23Z
• Hugging Face repo: electricsheepafrica/africa-tunisia-liste-des-films-subventionnes-par-le-cnci-pendant-2022-et-c3c35dc3

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 demographic profiles
• Normalize indicators per capita
• Join with service-delivery datasets
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_tunisia_liste_des_films_subventionnes_par_le_cnci_pendant_2022_et_c3c35dc_2023,
  title        = {Liste Des Films Subventionnes Par Le Cnci Pendant 2022 Et | Africa (Tunisia Open Data)},
  author       = {Minstère des affaires culturelles},
  year         = {2023},
  url          = {https://catalog.data.gov.tn/dataset/liste-des-films-subventionnes-par-le-cnci-2022-2023},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-liste-des-films-subventionnes-par-le-cnci-pendant-2022-et-c3c35dc3}}
}

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/liste-des-films-subventionnes-par-le-cnci-2022-2023