electricsheepafrica/africa-cote-d-ivoire-effectif-des-hommes-et-des-femmes-dans-la-police-ivoirienn-d8fc5198

Effectif Des Hommes Et Des Femmes Dans La Police Ivoirienn | Africa (Cote d'Ivoire DataFair)

26 rows - 1 Africa country/area - 2011-2020 - 2 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 26 rows from Cote d'Ivoire DataFair, covering Effectif Des Hommes Et Des Femmes Dans La Police Ivoirienn. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Demographic datasets help analysts understand population structure, household conditions, migration, gender, age, and settlement patterns.

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

Geographic Coverage

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

Indicators, Variables, Or Resource Contents

• —effectif-des-hommes-et-des-femmes-dans-la-police-ivoirienne-de-2011-a-20-9721d4ac - Effectif des hommes et des femmes dans la police ivoirienne de 2011 à 2020 - effectif(sourceunitsunspecified)
• —effectif-des-hommes-et-des-femmes-dans-la-police-ivoirienne-de-2011-a-20-c81d90ef - Effectif des hommes et des femmes dans la police ivoirienne de 2011 à 2020 - pourcentage(sourceunitsunspecified)

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-cote-d-ivoire-effectif-des-hommes-et-des-femmes-dans-la-police-ivoirienn-d8fc5198")
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: STATISTIQUES RELATIVES A LA SITUATION DE LA FEMME EN COTE D’IVOIRE
• —Portal: https://data.gouv.ci
• —Resource: Effectif des hommes et des femmes dans la police ivoirienne de 2011 à 2020 CSV export
• —License: other-open
• —Retrieved/generated: 2026-07-27T10:24:06Z
• —Hugging Face repo: electricsheepafrica/africa-cote-d-ivoire-effectif-des-hommes-et-des-femmes-dans-la-police-ivoirienn-d8fc5198

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

• —Build demographic profiles
• —Normalize indicators per capita
• —Join with service-delivery datasets
• —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_effectif_des_hommes_et_des_femmes_dans_la_police_ivoirienn_2020,
  title        = {Effectif Des Hommes Et Des Femmes Dans La Police Ivoirienn | Africa (Cote d'Ivoire DataFair)},
  author       = {STATISTIQUES RELATIVES A LA SITUATION DE LA FEMME EN COTE D’IVOIRE},
  year         = {2020},
  url          = {https://data.gouv.ci/datasets/effectif-des-femmes-dans-larmee-de-2011-a-2020},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-effectif-des-hommes-et-des-femmes-dans-la-police-ivoirienn-d8fc5198}}
}

License

Released under other-open.

Original data is published by STATISTIQUES RELATIVES A LA SITUATION DE LA FEMME EN COTE D’IVOIRE. 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.

Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.gouv.ci/datasets/effectif-des-femmes-dans-larmee-de-2011-a-2020