electricsheepafrica/africa-cote-d-ivoire-population-superficie-et-densite-par-district-et-region-ad-00451fba
Population Superficie Et Densite Par District Et Region Ad | Africa (Cote d'Ivoire DataFair) 47 rows - 1 Africa country/area - 2021 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 47 rows from Cote d'Ivoire DataFair, covering Population Superficie Et Densite Par District Et Region Ad. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-population-superficie-et-densite-par-district-et-region-ad-00451fba.
Population Superficie Et Densite Par District Et Region Ad | Africa (Cote d'Ivoire DataFair)
47 rows - 1 Africa country/area - 2021 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
TL;DR
This dataset contains 47 rows from Cote d'Ivoire DataFair, covering Population Superficie Et Densite Par District Et Region Ad. 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:
year. - Time coverage basis: year.
- Recommended join keys:
country_iso3where available plus source-specific keys.
Coverage
Geographic Coverage
Top areas shown below, sorted by row count when available:
Indicators, Variables, Or Resource Contents
- This repo preserves one source tabular resource with its usable columns kept together.
Schema
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-cote-d-ivoire-population-superficie-et-densite-par-district-et-region-ad-00451fba")
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: Agence Nationale de la Statistique (ANStat)
- Portal: https://data.gouv.ci
- Resource: Population Superficie et Densité par District et Région administrative RGPH 2021 CSV export
- License: other-open
- Retrieved/generated:
2026-07-27T10:23:40Z - Hugging Face repo: electricsheepafrica/africa-cote-d-ivoire-population-superficie-et-densite-par-district-et-region-ad-00451fba
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_iso3as the safest geography join key when present
Citation
@misc{electric_sheep_africa_africa_cote_d_ivoire_population_superficie_et_densite_par_district_et_region_ad_2021,
title = {Population Superficie Et Densite Par District Et Region Ad | Africa (Cote d'Ivoire DataFair)},
author = {Agence Nationale de la Statistique (ANStat)},
year = {2021},
url = {https://data.gouv.ci/datasets/population-superficie-et-densite-par-district-et-region-administrative-rgph-2021},
publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-population-superficie-et-densite-par-district-et-region-ad-00451fba}}
}License
Released under other-open.
Original data is published by Agence Nationale de la Statistique (ANStat). 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/population-superficie-et-densite-par-district-et-region-administrative-rgph-2021