electricsheepafrica/africa-cote-d-ivoire-repartition-des-eleves-par-drena-de-2018-a-2021-49ab5476

Repartition Des Eleves Par Drena De 2018 a 2021 | Africa (Cote d'Ivoire DataFair)

432 rows - 1 Africa country/area - 2018-2020 - 1 indicator - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 432 rows from Cote d'Ivoire DataFair, covering Repartition Des Eleves Par Drena De 2018 a 2021. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Education datasets help analysts study access, participation, learning systems, infrastructure, and outcomes across places and periods.

Source-provided context: Normalized CSV export exposed by the Data Fair API.

How To Read This Dataset

• One row means: one indicator observation for one geography, time period, and optional source dimensions.
• Primary geography column: country_iso3.
• Best time column: year.
• Time coverage basis: year.
• Recommended join keys: country_iso3, year, indicator_id.

Coverage

Dimension	Value
Rows	432
Countries/areas	1
First period	2018
Last period	2020
Indicators	1
Columns	22
Source format	CSV

Geographic Coverage

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

Area	Rows	First year	Last year	Name
CIV	432	2018	2020	Côte d'Ivoire

Indicators, Variables, Or Resource Contents

• repartition-des-eleves-par-drena-de-2018-a-2021-22878acc - Répartition des élèves par DRENA de 2018 à 2021(source_units_unspecified)

Schema

Column	Type	Description	Example
indicator_id	string	Stable source or Electric Sheep Africa indicator identifier.	repartition-des-eleves-par-drena-de-2018-a-2021-22878acc
indicator_name	string	Human-readable indicator name.	Répartition des élèves par DRENA de 2018 à 2021
country_iso3	string	ISO3 country or area code.	CIV
country_name	string	Country or area name.	Côte d'Ivoire
year	int64	Observation year.	2018
value	double	Numeric observation value.	21040.0
unit	string	Measurement unit, when supplied by the source.	source_units_unspecified
dimension_statut	string	Source dimension retained during long-form normalization.	PUBLIC
dimension_ville	string	Source dimension retained during long-form normalization.	ABENGOUROU
dimension_drenet	string	Source dimension retained during long-form normalization.	ABENGOUROU
dimension_sexe	string	Source dimension retained during long-form normalization.	MASCULIN
source_period_start_year	int64	Start year inferred from source metadata.	2018
source_period_end_year	int64	End year inferred from source metadata.	2021
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2018-2021
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	Ministère de l'Education Nationale, de l'Enseignement Technique et de...
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	Répartition des élèves par DRENA de 2018 à 2021
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Répartition des élèves par DRENA de 2018 à 2021 CSV export
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	repartition-des-eleves-et-enseignants-par-drenet-de-2018-a-2021
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	repartition-des-eleves-et-enseignants-par-drenet-de-2018-a-2021:full
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.gouv.ci/data-fair/api/v1/datasets/repartition-des-eleves...
license_id	dictionary<values=string, indices=int8, ordered=0>	Source license identifier.	other-open
retrieved_at	dictionary<values=string, indices=int8, ordered=0>	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-07-27T10:23:33Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-cote-d-ivoire-repartition-des-eleves-par-drena-de-2018-a-2021-49ab5476")
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"] == "CIV"]

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: Cote d'Ivoire DataFair
• Publisher: Ministère de l'Education Nationale, de l'Enseignement Technique et de la Formation Professionnelle
• Portal: https://data.gouv.ci
• Resource: Répartition des élèves par DRENA de 2018 à 2021 CSV export
• License: other-open
• Retrieved/generated: 2026-07-27T10:23:56Z
• Hugging Face repo: electricsheepafrica/africa-cote-d-ivoire-repartition-des-eleves-par-drena-de-2018-a-2021-49ab5476

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

• Compare education indicators by geography
• Track participation or completion trends
• Join with population and poverty indicators
• Build time-series views and period-over-period comparisons
• Pivot to geography x period or indicator x period matrices
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_cote_d_ivoire_repartition_des_eleves_par_drena_de_2018_a_2021_49ab5476_2020,
  title        = {Repartition Des Eleves Par Drena De 2018 a 2021 | Africa (Cote d'Ivoire DataFair)},
  author       = {Ministère de l'Education Nationale, de l'Enseignement Technique et de la Formation Professionnelle},
  year         = {2020},
  url          = {https://data.gouv.ci/datasets/repartition-des-eleves-et-enseignants-par-drenet-de-2018-a-2021},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-repartition-des-eleves-par-drena-de-2018-a-2021-49ab5476}}
}

License

Released under other-open.

Original data is published by Ministère de l'Education Nationale, de l'Enseignement Technique 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 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.gouv.ci/datasets/repartition-des-eleves-et-enseignants-par-drenet-de-2018-a-2021