electricsheepafrica/africa-cote-d-ivoire-perte-du-couvert-forestier-arbore-et-emissions-de-co2-de-2-6f739196
Perte Du Couvert Forestier Arbore Et Emissions De Co2 De 2 | Africa (Cote d'Ivoire DataFair) 42 rows - 1 Africa country/area - 2001-2021 - 1 indicator - Engineered by Electric Sheep Africa TL;DR This dataset contains 42 rows from Cote d'Ivoire DataFair, covering Perte Du Couvert Forestier Arbore Et Emissions De Co2 De 2. 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-perte-du-couvert-forestier-arbore-et-emissions-de-co2-de-2-6f739196.
Perte Du Couvert Forestier Arbore Et Emissions De Co2 De 2 | Africa (Cote d'Ivoire DataFair)
42 rows - 1 Africa country/area - 2001-2021 - 1 indicator - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
TL;DR
This dataset contains 42 rows from Cote d'Ivoire DataFair, covering Perte Du Couvert Forestier Arbore Et Emissions De Co2 De 2. 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
perte-du-couvert-forestier-arbore-et-emissions-de-co2-de-2001-a-2021-54cc7a34- Perte du couvert forestier arboré et émissions de CO2 de 2001 à 2021(sourceunitsunspecified)
Schema
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-cote-d-ivoire-perte-du-couvert-forestier-arbore-et-emissions-de-co2-de-2-6f739196")
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: https://www.globalforestwatch.org/dashboards/country/CIV/
- Portal: https://data.gouv.ci
- Resource: Perte du couvert forestier arboré et émissions de CO2 de 2001 à 2021 CSV export
- License: other-open
- Retrieved/generated:
2026-07-27T10:24:09Z - Hugging Face repo: electricsheepafrica/africa-cote-d-ivoire-perte-du-couvert-forestier-arbore-et-emissions-de-co2-de-2-6f739196
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_iso3as the safest geography join key when present
Citation
@misc{electric_sheep_africa_africa_cote_d_ivoire_perte_du_couvert_forestier_arbore_et_emissions_de_co2_de_2_2021,
title = {Perte Du Couvert Forestier Arbore Et Emissions De Co2 De 2 | Africa (Cote d'Ivoire DataFair)},
author = {https://www.globalforestwatch.org/dashboards/country/CIV/},
year = {2021},
url = {https://data.gouv.ci/datasets/perte-de-couverture-forestiere-et-emissions-de-co2-de-2001-a-2020},
publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-perte-du-couvert-forestier-arbore-et-emissions-de-co2-de-2-6f739196}}
}License
Released under other-open.
Original data is published by https://www.globalforestwatch.org/dashboards/country/CIV/. 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/perte-de-couverture-forestiere-et-emissions-de-co2-de-2001-a-2020
