electricsheepafrica/africa-cote-d-ivoire-proportion-des-filles-et-garcons-dans-le-primaire-selon-le-acd953d2

Proportion Des Filles Et Garcons Dans Le Primaire Selon Le | Africa (Cote d'Ivoire DataFair)

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

TL;DR

This dataset contains 184 rows from Cote d'Ivoire DataFair, covering Proportion Des Filles Et Garcons Dans Le Primaire Selon Le. 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 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	184
Countries/areas	1
First period	detected
Last period	detected
Indicators	0
Columns	18
Source format	CSV

Geographic Coverage

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

Area	Rows	First year	Last year	Name
CIV	184	detected	detected	Côte d'Ivoire

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.	proportion-des-filles-et-garcons-dans-le-primaire-selon-le-statut-de-...
country_iso3	dictionary<values=string, indices=int8, ordered=0>	ISO3 country or area code.	CIV
country_name	dictionary<values=string, indices=int8, ordered=0>	Country or area name.	Côte d'Ivoire
dren	string	Source column from the original resource.	ABENGOUROU
statut	string	Source column from the original resource.	Public
genre	string	Source column from the original resource.	Filles
effectif	double	Source column from the original resource.	26676.0
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	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	Direction des Stratégies, de la Planification et des Statistiques - DSPS
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	Proportion des filles et garçons dans le primaire selon le statut de ...
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Proportion des filles et garçons dans le primaire selon le statut de ...
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	proportion-des-filles-et-garcons-dans-le-primaire-selon-le-statut-de-...
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	proportion-des-filles-et-garcons-dans-le-primaire-selon-le-statut-de-...
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.gouv.ci/data-fair/api/v1/datasets/proportion-des-filles-...
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-proportion-des-filles-et-garcons-dans-le-primaire-selon-le-acd953d2")
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 "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: Cote d'Ivoire DataFair
• Publisher: Direction des Stratégies, de la Planification et des Statistiques - DSPS
• Portal: https://data.gouv.ci
• Resource: Proportion des filles et garçons dans le primaire selon le statut de l'école par DREN CSV export
• License: other-open
• Retrieved/generated: 2026-07-27T10:24:44Z
• Hugging Face repo: electricsheepafrica/africa-cote-d-ivoire-proportion-des-filles-et-garcons-dans-le-primaire-selon-le-acd953d2

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
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_cote_d_ivoire_proportion_des_filles_et_garcons_dans_le_primaire_selon_le_2026,
  title        = {Proportion Des Filles Et Garcons Dans Le Primaire Selon Le | Africa (Cote d'Ivoire DataFair)},
  author       = {Direction des Stratégies, de la Planification et des Statistiques - DSPS},
  year         = {2026},
  url          = {https://data.gouv.ci/datasets/proportion-des-filles-et-garcons-dans-le-primaire-selon-le-statut-de-l'ecole-par-dren},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-proportion-des-filles-et-garcons-dans-le-primaire-selon-le-acd953d2}}
}

License

Released under other-open.

Original data is published by Direction des Stratégies, de la Planification et des Statistiques - DSPS. 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/proportion-des-filles-et-garcons-dans-le-primaire-selon-le-statut-de-l'ecole-par-dren