electricsheepafrica/africa-cote-d-ivoire-statistiques-globales-sur-le-secteur-cacao-et-cafe-af7f897a

Statistiques Globales Sur Le Secteur Cacao Et Cafe | Africa (Cote d'Ivoire DataFair)

40 rows - 1 Africa country/area - 2022-2023 - 1 indicator - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 40 rows from Cote d'Ivoire DataFair, covering Statistiques Globales Sur Le Secteur Cacao Et Cafe. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Agriculture datasets help analysts examine production, prices, inputs, land use, food systems, and rural economic activity.

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

• —statistiques-globales-sur-le-secteur-cacao-et-cafe-55a462df - Statistiques globales sur le secteur cacao et café(sourceunitsunspecified)

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-cote-d-ivoire-statistiques-globales-sur-le-secteur-cacao-et-cafe-af7f897a")
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: Conseil Café Cacao
• —Portal: https://data.gouv.ci
• —Resource: Statistiques globales sur le secteur cacao et café CSV export
• —License: other-open
• —Retrieved/generated: 2026-07-27T10:23:34Z
• —Hugging Face repo: electricsheepafrica/africa-cote-d-ivoire-statistiques-globales-sur-le-secteur-cacao-et-cafe-af7f897a

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

• —Track production or price movements
• —Compare regions or commodities
• —Join with climate and trade data
• —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_statistiques_globales_sur_le_secteur_cacao_et_cafe_af7f897a_2023,
  title        = {Statistiques Globales Sur Le Secteur Cacao Et Cafe | Africa (Cote d'Ivoire DataFair)},
  author       = {Conseil Café Cacao},
  year         = {2023},
  url          = {https://data.gouv.ci/datasets/statistiques-globales-sur-le-secteur-cacao-et-cafe},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-statistiques-globales-sur-le-secteur-cacao-et-cafe-af7f897a}}
}

License

Released under other-open.

Original data is published by Conseil Café Cacao. 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/statistiques-globales-sur-le-secteur-cacao-et-cafe