README.md

metadata

license: other
language:
  - en
task_categories:
  - tabular-classification
  - tabular-regression
multilinguality: multilingual
size_categories:
  - n<1K
tags:
  - tabular
  - africa
  - open-data
  - official-statistics
  - cote-d-ivoire
  - agence-nationale-de-la-statistique-anstat
  - cote-d-ivoire-datafair
  - societe
  - localites
  - rgph-1988
  - rgph-1998
  - rgph-2021
  - variation-1988-1998
  - variation-1998-2021
  - evolution-1988-2021
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-00000-of-00001.parquet
pretty_name: >-
  Evolution Du Nombre De Localites Et De Sites Habites 1988 | Africa (Cote
  d'Ivoire DataFair)

Evolution Du Nombre De Localites Et De Sites Habites 1988 | Africa (Cote d'Ivoire DataFair)

4 rows - 1 Africa country/area - 1988-2021 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 4 rows from Cote d'Ivoire DataFair, covering Evolution Du Nombre De Localites Et De Sites Habites 1988. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Official statistics datasets help analysts inspect public data as published by governments, national statistical systems, and regional data portals.

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: not detected.
• Time coverage basis: source metadata.
• Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension	Value
Rows	4
Countries/areas	1
First period	1988
Last period	2021
Indicators	0
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	4	1988	2021	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.	ai3-aw62yf-aczms53neswp2: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
localites	string	Source column from the original resource.	Localités urbaines
rgph_1988	int64	Source column from the original resource.	183
rgph_1998	int64	Source column from the original resource.	231
rgph_2021	int64	Source column from the original resource.	447
variation_1988_1998	int64	Source column from the original resource.	48
variation_1998_2021	int64	Source column from the original resource.	216
evolution_1988_2021	double	Source column from the original resource.	144.3
observation	string	Source column from the original resource.	Forte urbanisation
source_period_start_year	int64	Start year inferred from source metadata.	1988
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.	1988-2021
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	Agence Nationale de la Statistique (ANStat)
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	Évolution du nombre de localités et de sites habités 1988 2021
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Évolution du nombre de localités et de sites habités 1988 2021 CSV ex...
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	ai3-aw62yf-aczms53neswp2
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	ai3-aw62yf-aczms53neswp2: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/evolution-du-nombre-de...
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-evolution-du-nombre-de-localites-et-de-sites-habites-1988-5127649e")
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

• No canonical year/date column was detected in the packaged table; use source metadata and domain context for temporal interpretation.
• 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: Évolution du nombre de localités et de sites habités 1988 2021 CSV export
• License: other-open
• Retrieved/generated: 2026-07-27T10:23:41Z
• Hugging Face repo: electricsheepafrica/africa-cote-d-ivoire-evolution-du-nombre-de-localites-et-de-sites-habites-1988-5127649e

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

• Profile the distribution of values
• Compare categories or geographies
• Join with complementary public datasets
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_cote_d_ivoire_evolution_du_nombre_de_localites_et_de_sites_habites_1988_5_2021,
  title        = {Evolution Du Nombre De Localites Et De Sites Habites 1988 | Africa (Cote d'Ivoire DataFair)},
  author       = {Agence Nationale de la Statistique (ANStat)},
  year         = {2021},
  url          = {https://data.gouv.ci/datasets/evolution-du-nombre-de-localites-et-sites-habites-1988-2021},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-evolution-du-nombre-de-localites-et-de-sites-habites-1988-5127649e}}
}

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/evolution-du-nombre-de-localites-et-sites-habites-1988-2021