electricsheepafrica/africa-cote-d-ivoire-repartition-de-la-population-agricole-par-region-selon-le-a84937e6

Repartition De La Population Agricole Par Region Selon Le | Africa (Cote d'Ivoire DataFair)

33 rows - 1 Africa country/area - 2024 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 33 rows from Cote d'Ivoire DataFair, covering Repartition De La Population Agricole Par Region 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

Agriculture datasets help analysts examine production, prices, inputs, land use, food systems, and rural economic activity.

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

Coverage

Dimension	Value
Rows	33
Countries/areas	1
First period	2024
Last period	2024
Indicators	0
Columns	24
Source format	CSV

Geographic Coverage

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

Area	Rows	First year	Last year	Name
CIV	33	2024	2024	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.	x5l6jsm0ohokjhdcl3p93z8k:full:0
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
year	int64	Observation year.	2024
region	string	Source column from the original resource.	Agnéby-Tiassa
effectif_population	int64	Source column from the original resource.	294209
part_hommes_pct	double	Source column from the original resource.	53.1
part_femmes_pct	double	Source column from the original resource.	47.0
aucun_niveau_pct	double	Source column from the original resource.	35.7
primaire_pct	double	Source column from the original resource.	29.3
secondaire_1_pct	double	Source column from the original resource.	20.7
secondaire_2_pct	double	Source column from the original resource.	10.4
superieur_pct	double	Source column from the original resource.	3.9
source_period_start_year	int64	Start year inferred from source metadata.	2024
source_period_end_year	int64	End year inferred from source metadata.	2024
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2024
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	MC-REEA, 2024 — MINADER (Ministère de l'Agriculture, du Développement...
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	Répartition de la population agricole par région selon le sexe et le ...
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Répartition de la population agricole par région selon le sexe et le ...
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	x5l6jsm0ohokjhdcl3p93z8k
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	x5l6jsm0ohokjhdcl3p93z8k: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-de-la-popu...
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-de-la-population-agricole-par-region-selon-le-a84937e6")
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: MC-REEA, 2024 — MINADER (Ministère de l'Agriculture, du Développement Rural et des Productions Vivrières)
• Portal: https://data.gouv.ci
• Resource: Répartition de la population agricole par région selon le sexe et le niveau d'instruction en 2024 CSV export
• License: other-open
• Retrieved/generated: 2026-07-27T10:23:36Z
• Hugging Face repo: electricsheepafrica/africa-cote-d-ivoire-repartition-de-la-population-agricole-par-region-selon-le-a84937e6

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

• Track production or price movements
• Compare regions or commodities
• Join with climate and trade data
• 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_repartition_de_la_population_agricole_par_region_selon_le_a_2024,
  title        = {Repartition De La Population Agricole Par Region Selon Le | Africa (Cote d'Ivoire DataFair)},
  author       = {MC-REEA, 2024 — MINADER (Ministère de l'Agriculture, du Développement Rural et des Productions Vivrières)},
  year         = {2024},
  url          = {https://data.gouv.ci/datasets/repartition-de-la-population-agricole-par-region-selon-le-sexe-et-le-niveau-dinstruction-en-2024},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-repartition-de-la-population-agricole-par-region-selon-le-a84937e6}}
}

License

Released under other-open.

Original data is published by MC-REEA, 2024 — MINADER (Ministère de l'Agriculture, du Développement Rural et des Productions Vivrières). 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-de-la-population-agricole-par-region-selon-le-sexe-et-le-niveau-dinstruction-en-2024