electricsheepafrica/africa-cote-d-ivoire-mis-en-cause-par-lieu-de-residence-en-2015-16f1a800

Mis En Cause Par Lieu De Residence En 2015 | Africa (Cote d'Ivoire DataFair)

26 rows - 1 Africa country/area - 2015 - 1 indicator - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 26 rows from Cote d'Ivoire DataFair, covering Mis En Cause Par Lieu De Residence En 2015. 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 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

Dimension	Value
Rows	26
Countries/areas	1
First period	2015
Last period	2015
Indicators	1
Columns	21
Source format	CSV

Geographic Coverage

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

Area	Rows	First year	Last year	Name
CIV	26	2015	2015	Côte d'Ivoire

Indicators, Variables, Or Resource Contents

• mis-en-cause-par-lieu-de-residence-en-2015-fd678697 - Mis en cause par lieu de résidence en 2015(source_units_unspecified)

Schema

Column	Type	Description	Example
indicator_id	string	Stable source or Electric Sheep Africa indicator identifier.	mis-en-cause-par-lieu-de-residence-en-2015-fd678697
indicator_name	string	Human-readable indicator name.	Mis en cause par lieu de résidence en 2015
country_iso3	string	ISO3 country or area code.	CIV
country_name	string	Country or area name.	Côte d'Ivoire
year	int64	Observation year.	2015
value	double	Numeric observation value.	79.0
unit	string	Measurement unit, when supplied by the source.	source_units_unspecified
dimension_categorie	string	Source dimension retained during long-form normalization.	Lieu de résidence
dimension_sous_categorie	string	Source dimension retained during long-form normalization.	Yopougon
dimension_details	string	Source dimension retained during long-form normalization.	Interpellés
source_period_start_year	int64	Start year inferred from source metadata.	2015
source_period_end_year	int64	End year inferred from source metadata.	2015
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2015
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	Direction de l'informatique et des Traces Technologiques - DITT
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	Mis en cause par lieu de résidence en 2015
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Mis en cause par lieu de résidence en 2015 CSV export
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	mis-en-cause-et-lieu-de-residence
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	mis-en-cause-et-lieu-de-residence: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/mis-en-cause-et-lieu-d...
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-mis-en-cause-par-lieu-de-residence-en-2015-16f1a800")
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: Direction de l'informatique et des Traces Technologiques - DITT
• Portal: https://data.gouv.ci
• Resource: Mis en cause par lieu de résidence en 2015 CSV export
• License: other-open
• Retrieved/generated: 2026-07-27T10:24:30Z
• Hugging Face repo: electricsheepafrica/africa-cote-d-ivoire-mis-en-cause-par-lieu-de-residence-en-2015-16f1a800

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
• 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_mis_en_cause_par_lieu_de_residence_en_2015_16f1a800_2015,
  title        = {Mis En Cause Par Lieu De Residence En 2015 | Africa (Cote d'Ivoire DataFair)},
  author       = {Direction de l'informatique et des Traces Technologiques - DITT},
  year         = {2015},
  url          = {https://data.gouv.ci/datasets/mis-en-cause-et-lieu-de-residence},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-mis-en-cause-par-lieu-de-residence-en-2015-16f1a800}}
}

License

Released under other-open.

Original data is published by Direction de l'informatique et des Traces Technologiques - DITT. 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/mis-en-cause-et-lieu-de-residence