--- license: other language: - en task_categories: - tabular-regression - time-series-forecasting multilinguality: monolingual size_categories: - n<1K tags: - tabular - csv - africa - tunisia - official-statistics - open-data pretty_name: "Statistiques pour la Direction de la Formation et Recyclage de 2018 à 2020 | Africa (Tunisia official open data)" --- # Statistiques pour la Direction de la Formation et Recyclage de 2018 à 2020 | Africa (Tunisia official open data) 18 rows - 1 Africa country - 2018-2020 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica) ![rows](https://img.shields.io/badge/rows-18-blue) ![countries](https://img.shields.io/badge/countries-1-green) ![years](https://img.shields.io/badge/years-2018-2020-orange) ![indicators](https://img.shields.io/badge/indicators-6-purple) ![license](https://img.shields.io/badge/license-other-lightgrey) ## TL;DR This dataset packages one official `CSV` resource from **Tunisia** as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo. ## About the source - **Source:** [Statistiques pour la Direction de la Formation et Recyclage de 2018 à 2020](https://catalog.data.gov.tn/dataset/statistiques-pour-la-direction-de-la-formation-et-recyclage-de-2018-a-2020) - **Publisher:** Minstère des affaires culturelles - **Resource:** [Statistiques de 2018 à 2020](http://www.openculture.gov.tn/dataset/d75d3cd1-eb48-47bb-b400-449db90016f5/resource/ff67c259-5e95-4b2f-aebf-878daf82cdc2/download/formation-recyclage.csv) - **Format:** `CSV` - **License:** [Other open license]() - **Packaging mode:** `indicator_long` ## Geographic coverage 1 Africa country: | Country | Rows | First year | Last year | Name | |---------|-----:|-----------:|----------:|------| | `TUN` | 18 | 2018 | 2020 | `Tunisia` | ## Indicators or Resource Contents - `statistiques-pour-la-direction-de-la-formation-et-recyclage-de-2018-a-20-bae35c73` - Statistiques pour la Direction de la Formation et Recyclage de 2018 à 2020 - participants centrale - `statistiques-pour-la-direction-de-la-formation-et-recyclage-de-2018-a-20-de90870a` - Statistiques pour la Direction de la Formation et Recyclage de 2018 à 2020 - participants centrale f - `statistiques-pour-la-direction-de-la-formation-et-recyclage-de-2018-a-20-1f18fe0f` - Statistiques pour la Direction de la Formation et Recyclage de 2018 à 2020 - participants centrale h - `statistiques-pour-la-direction-de-la-formation-et-recyclage-de-2018-a-20-adc68942` - Statistiques pour la Direction de la Formation et Recyclage de 2018 à 2020 - participants regionale - `statistiques-pour-la-direction-de-la-formation-et-recyclage-de-2018-a-20-9e92d8b2` - Statistiques pour la Direction de la Formation et Recyclage de 2018 à 2020 - participants regionale f - `statistiques-pour-la-direction-de-la-formation-et-recyclage-de-2018-a-20-9657126a` - Statistiques pour la Direction de la Formation et Recyclage de 2018 à 2020 - participants regionale h ## Schema | Column | Type | Description | Example | |--------|------|-------------|---------| | `indicator_id` | `string` | Stable indicator identifier. | `statistiques-pour-la-direction-de-la-formation-et-recyclage-de-2018-a-20` | | `indicator_name` | `string` | Human-readable indicator name. | `Statistiques pour la Direction de la Formation et Recyclage de 2018 à 20` | | `country_iso3` | `string` | ISO3 country code. | `TUN` | | `country_name` | `string` | Country name. | `Tunisia` | | `year` | `Int64` | Observation year. | `2018` | | `value` | `float64` | Numeric observation value. | `1187.0` | | `unit` | `string` | Measurement unit, when available. | `source_units_unspecified` | | `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2018` | | `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2020` | | `source_period_label` | `string` | Human-readable period inferred from source resource metadata. | `2018-2020` | | `source_provider` | `string` | Publishing organization. | `Minstère des affaires culturelles` | | `source_dataset` | `string` | Source package title. | `Statistiques pour la Direction de la Formation et Recyclage de 2018 à 20` | | `source_resource` | `string` | Source resource title. | `Statistiques de 2018 à 2020` | | `source_package_id` | `string` | CKAN package UUID. | `dad09861-f4de-4e13-8638-c39392fed507` | | `source_resource_id` | `string` | CKAN resource UUID. | `3c4c214f-539a-4c52-aed8-e8a22ed559f5` | | `source_url` | `string` | Original source resource URL. | `http://www.openculture.gov.tn/dataset/d75d3cd1-eb48-47bb-b400-449db90016` | | `license_id` | `string` | Source license identifier. | `other-open` | | `retrieved_at` | `string` | UTC retrieval timestamp. | `2026-07-18T23:08:36Z` | ## Usage ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-tunisia-statistiques-pour-la-direction-de-la-formation-et-recyclag-08c95659") df = ds["train"].to_pandas() print(df.head()) ``` ### Filter to one country ```python sample_country = df[df["country_iso3"] == "TUN"] ``` ### Work with indicators ```python if "indicator_id" in df.columns: print(df["indicator_id"].value_counts().head()) sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns]) ``` ## Citation ```bibtex @misc{electric_sheep_africa_africa_tunisia_statistiques_pour_la_direction_de_la_formation_et_recyclag_08c956_2020, title = {Statistiques pour la Direction de la Formation et Recyclage de 2018 à 2020 | Africa (Tunisia official open data)}, author = {Minstère des affaires culturelles}, year = {2020}, url = {https://catalog.data.gov.tn/dataset/statistiques-pour-la-direction-de-la-formation-et-recyclage-de-2018-a-2020}, publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa}, howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-statistiques-pour-la-direction-de-la-formation-et-recyclag-08c95659}} } ``` ## License Released under [Other open license](). Original data (c) Minstère des affaires culturelles. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging. ## About Electric Sheep Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. 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/electricsheepafrica](https://huggingface.co/electricsheepafrica) --- Provenance: ingested 2026-07-19 via the Electric Sheep pipeline. Source URL: http://www.openculture.gov.tn/dataset/d75d3cd1-eb48-47bb-b400-449db90016f5/resource/ff67c259-5e95-4b2f-aebf-878daf82cdc2/download/formation-recyclage.csv