electricsheepafrica/africa-tunisia-reseau-de-bureaux-de-l-emploi-et-du-travail-independant-en-896d6975

Reseau De Bureaux De L Emploi Et Du Travail Independant En | Africa (Tunisia Open Data)

2 rows - 1 Africa country/area - detected - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 2 rows from Tunisia Open Data, covering Reseau De Bureaux De L Emploi Et Du Travail Independant En. 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: Réseau de bureaux de l'emploi et du travail indépendant en Tunisie

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

Coverage

Dimension	Value
Rows	2
Countries/areas	1
First period	detected
Last period	detected
Indicators	0
Columns	15
Source format	CSV

Geographic Coverage

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

Area	Rows	First year	Last year	Name
TUN	2	detected	detected	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.	acf03047-049a-4ea9-9387-8808f7530cb9:0
country_iso3	string	ISO3 country or area code.	TUN
country_name	string	Country or area name.	Tunisia
code_bureau_bureau_gouvernorat_responsable_tel_fax_adres	string	Source column from the original resource.	RUE D’ITALIE TUNIS 1001";beti.bbhar@emploi.nat.tn
source_period_start_year	int64	Start year inferred from source metadata.	``
source_period_end_year	int64	End year inferred from source metadata.	``
source_period_label	string	Source column from the original resource.	``
source_provider	string	Publishing organization.	Ministère de l'Emploi et de la Formation professionnelle
source_dataset	string	Source dataset or package title.	Réseau de bureaux de l'emploi et du travail indépendant en Tunisie
source_resource	string	Source resource title, table name, or file name.	Réseau de bureaux de l'emploi et du travail indépendant en Tunisie
source_package_id	string	Source package identifier.	1c4a882c-bed3-4bb1-a1a1-5d823d19b9d6
source_resource_id	string	Source resource identifier.	acf03047-049a-4ea9-9387-8808f7530cb9
source_url	string	Original source URL or download URL.	https://catalog.data.gov.tn/dataset/1c4a882c-bed3-4bb1-a1a1-5d823d19b...
license_id	string	Source license identifier.	cc-by
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-reseau-de-bureaux-de-l-emploi-et-du-travail-independant-en-896d6975")
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 "source_period_start_year" in df.columns:
    trend = df.sort_values("source_period_start_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: source_period_start_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: Ministère de l'Emploi et de la Formation professionnelle
• Portal: https://catalog.data.gov.tn
• Resource: Réseau de bureaux de l'emploi et du travail indépendant en Tunisie
• License: CC BY 4.0
• Retrieved/generated: 2026-07-19T00:29:47Z
• Hugging Face repo: electricsheepafrica/africa-tunisia-reseau-de-bureaux-de-l-emploi-et-du-travail-independant-en-896d6975

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_reseau_de_bureaux_de_l_emploi_et_du_travail_independant_en_896d69_2026,
  title        = {Reseau De Bureaux De L Emploi Et Du Travail Independant En | Africa (Tunisia Open Data)},
  author       = {Ministère de l'Emploi et de la Formation professionnelle},
  year         = {2026},
  url          = {https://catalog.data.gov.tn/dataset/reseau-de-bureaux-de-l-emploi-et-du-travail-independant-en-tunisie},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-reseau-de-bureaux-de-l-emploi-et-du-travail-independant-en-896d6975}}
}

License

Released under CC BY 4.0.

Original data is published by Ministère de l'Emploi et de la Formation professionnelle. 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/reseau-de-bureaux-de-l-emploi-et-du-travail-independant-en-tunisie