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electricsheepafrica/africa-cote-d-ivoire-consommation-de-carburants-par-region-et-district-793ad4c3

Consommation De Carburants Par Region Et District | Africa (Cote d'Ivoire DataFair) 99 rows - 1 Africa country/area - detected - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 99 rows from Cote d'Ivoire DataFair, covering Consommation De Carburants Par Region Et District. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. What This… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-consommation-de-carburants-par-region-et-district-793ad4c3.

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Dataset Card

Consommation De Carburants Par Region Et District | Africa (Cote d'Ivoire DataFair)

99 rows - 1 Africa country/area - detected - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 99 rows from Cote d'Ivoire DataFair, covering Consommation De Carburants Par Region Et District. 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: source_period_start_year.
  • —Time coverage basis: sourceperiodstart_year.
  • —Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

DimensionValue
Rows99
Countries/areas1
First perioddetected
Last perioddetected
Indicators0
Columns18
Source formatCSV

Geographic Coverage

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

AreaRowsFirst yearLast yearName
CIV99detecteddetectedCôte d'Ivoire

Indicators, Variables, Or Resource Contents

  • —This repo preserves one source tabular resource with its usable columns kept together.

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier assigned during Electric Sheep Africa engineering.consommation-de-carburant-super-petrole-gasoil-par-region-et-district...
country_iso3dictionary<values=string, indices=int8, ordered=0>ISO3 country or area code.CIV
country_namedictionary<values=string, indices=int8, ordered=0>Country or area name.Côte d'Ivoire
region_districtstringSource column from the original resource.DISTRICT ABIDJAN
chef_lieustringSource column from the original resource.Abidjan
categoriestringSource column from the original resource.Consommation (%)
valeurdoubleSource column from the original resource.48.36
source_period_start_yearint64Start year inferred from source metadata.``
source_period_end_yearint64End year inferred from source metadata.``
source_period_labelstringSource column from the original resource.``
source_providerdictionary<values=string, indices=int8, ordered=0>Publishing organization.DIRECTION GÉNÉRALE DES HYDROCARBURES (DGH) - MINISTÈRE EN CHARGE DU P...
source_datasetdictionary<values=string, indices=int8, ordered=0>Source dataset or package title.Consommation de carburants par région et district
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.Consommation de carburants par région et district CSV export
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.consommation-de-carburant-super-petrole-gasoil-par-region-et-district
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.consommation-de-carburant-super-petrole-gasoil-par-region-et-district...
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://data.gouv.ci/data-fair/api/v1/datasets/consommation-de-carbur...
license_iddictionary<values=string, indices=int8, ordered=0>Source license identifier.other-open
retrieved_atdictionary<values=string, indices=int8, ordered=0>UTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-07-27T10:23:33Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-cote-d-ivoire-consommation-de-carburants-par-region-et-district-793ad4c3")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

python
print(df.info())
print(df.head())

Filter By Geography

python
if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "CIV"]

Time-Series Pattern

python
if "value" in df.columns and "source_period_start_year" in df.columns:
    trend = df.sort_values("source_period_start_year")

Pivot For Analysis

python
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: source_period_start_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

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
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_cote_d_ivoire_consommation_de_carburants_par_region_et_district_793ad4c3_2026,
  title        = {Consommation De Carburants Par Region Et District | Africa (Cote d'Ivoire DataFair)},
  author       = {DIRECTION GÉNÉRALE DES HYDROCARBURES (DGH) - MINISTÈRE EN CHARGE DU PÉTROLE ET DE L'ENERGIE},
  year         = {2026},
  url          = {https://data.gouv.ci/datasets/consommation-de-carburant-super-petrole-gasoil-par-region-et-district},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-consommation-de-carburants-par-region-et-district-793ad4c3}}
}

License

Released under other-open.

Original data is published by DIRECTION GÉNÉRALE DES HYDROCARBURES (DGH) - MINISTÈRE EN CHARGE DU PÉTROLE ET DE L'ENERGIE. 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/consommation-de-carburant-super-petrole-gasoil-par-region-et-district