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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.

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Dataset Card

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)

rows countries period indicators license

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

DimensionValue
Rows42
Countries/areas1
First period2001
Last period2021
Indicators1
Columns19
Source formatCSV

Geographic Coverage

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

AreaRowsFirst yearLast yearName
CIV4220012021Côte d'Ivoire

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

ColumnTypeDescriptionExample
indicator_idstringStable source or Electric Sheep Africa indicator identifier.perte-du-couvert-forestier-arbore-et-emissions-de-co2-de-2001-a-2021-...
indicator_namestringHuman-readable indicator name.Perte du couvert forestier arboré et émissions de CO2 de 2001 à 2021
country_iso3stringISO3 country or area code.CIV
country_namestringCountry or area name.Côte d'Ivoire
yearint64Observation year.2001
valuedoubleNumeric observation value.122711.45023838062
unitstringMeasurement unit, when supplied by the source.source_units_unspecified
dimension_categoriestringSource dimension retained during long-form normalization.Perte de couvert forestier arboré (ha)
source_period_start_yearint64Start year inferred from source metadata.2001
source_period_end_yearint64End year inferred from source metadata.2021
source_period_labeldictionary<values=string, indices=int8, ordered=0>Source column from the original resource.2001-2021
source_providerdictionary<values=string, indices=int8, ordered=0>Publishing organization.https://www.globalforestwatch.org/dashboards/country/CIV/
source_datasetdictionary<values=string, indices=int8, ordered=0>Source dataset or package title.Perte du couvert forestier arboré et émissions de CO2 de 2001 à 2021
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.Perte du couvert forestier arboré et émissions de CO2 de 2001 à 2021 ...
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.perte-de-couverture-forestiere-et-emissions-de-co2-de-2001-a-2020
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.perte-de-couverture-forestiere-et-emissions-de-co2-de-2001-a-2020:full
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://data.gouv.ci/data-fair/api/v1/datasets/perte-de-couverture-fo...
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-perte-du-couvert-forestier-arbore-et-emissions-de-co2-de-2-6f739196")
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 "year" in df.columns:
    trend = df.sort_values("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: 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

  • —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

bibtex
@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