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electricsheepafrica/africa-burkina-faso-enquete-permanente-agricole-2023-2024-5516b72d

Enquete Permanente Agricole 2023 2024 | Africa (Direction générale des études et des statistiques sectorielles (DGESS)) 118 rows - 1 Africa country/area - 2023-2024 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 118 rows from Direction générale des études et des statistiques sectorielles (DGESS), covering Enquete Permanente Agricole 2023 2024. It is published as ML-ready Parquet with consistent Hugging Face metadata, source… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-burkina-faso-enquete-permanente-agricole-2023-2024-5516b72d.

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Dataset Card

Enquete Permanente Agricole 2023 2024 | Africa (Direction générale des études et des statistiques sectorielles (DGESS))

118 rows - 1 Africa country/area - 2023-2024 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 118 rows from Direction générale des études et des statistiques sectorielles (DGESS), covering Enquete Permanente Agricole 2023 2024. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Transport datasets help analysts examine mobility, infrastructure, passenger movement, logistics, and access to services.

Source-provided context: Table [tbl]

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: not detected.
  • —Time coverage basis: source metadata.
  • —Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

DimensionValue
Rows118
Countries/areas1
First period2023
Last period2024
Indicators0
Columns25
Source formatXLSX

Geographic Coverage

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

AreaRowsFirst yearLast yearName
BFA118n/an/aBurkina Faso

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.bfa-insd-nada-83-392:sommaire:0
country_iso3dictionary<values=string, indices=int8, ordered=0>ISO3 country or area code.BFA
country_namedictionary<values=string, indices=int8, ordered=0>Country or area name.Burkina Faso
source_sheetstringSource column from the original resource.Sommaire
etiquettestringSource column from the original resource.[n]
significationstringSource column from the original resource.Non disponible
source_period_start_yearint64Start year inferred from source metadata.2023
source_period_end_yearint64End year inferred from source metadata.2024
source_period_labeldictionary<values=string, indices=int8, ordered=0>Source column from the original resource.2023-2024
source_providerdictionary<values=string, indices=int8, ordered=0>Publishing organization.Direction générale des études et des statistiques sectorielles (DGESS)
source_datasetdictionary<values=string, indices=int8, ordered=0>Source dataset or package title.Enquête Permanente Agricole 2023-2024
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.Tableau sur la sécurité alimentaire EPA 2023/2024
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.BFA-MARAH-DGESS-EPA-2023-2024-v01.1
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.bfa-insd-nada-83-392
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://microdata.insd.bf/index.php/catalog/83/download/392
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.2026-08-07T23:10:20Z
boucle_du_mouhounstringSource column from the original resource.``
d_0_5533020980058255doubleSource column from the original resource.``
d_88_66881082224788doubleSource column from the original resource.``
d_10_109688053848313doubleSource column from the original resource.``
d_2_3545204437646845doubleSource column from the original resource.``
d_3_1423095560612095doubleSource column from the original resource.``
d_2_359454504217156doubleSource column from the original resource.``
d_2_027876111802893doubleSource column from the original resource.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-burkina-faso-enquete-permanente-agricole-2023-2024-5516b72d")
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"] == "BFA"]

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

  • —No canonical year/date column was detected in the packaged table; use source metadata and domain context for temporal interpretation.
  • —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 mobility over time
  • —Compare routes or geographies
  • —Join with economic and population data
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_burkina_faso_enquete_permanente_agricole_2023_2024_5516b72d_2024,
  title        = {Enquete Permanente Agricole 2023 2024 | Africa (Direction générale des études et des statistiques sectorielles (DGESS))},
  author       = {Direction générale des études et des statistiques sectorielles (DGESS)},
  year         = {2024},
  url          = {https://microdata.insd.bf/index.php/catalog/83/related-materials},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-burkina-faso-enquete-permanente-agricole-2023-2024-5516b72d}}
}

License

Released under other-open.

Original data is published by Direction générale des études et des statistiques sectorielles (DGESS). 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://microdata.insd.bf/index.php/catalog/83/related-materials