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methodedecollecteenquetera
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modedecalcultauxproportio
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delaidediffusion
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bef9fd57-1a2d-4521-8440-531ab862ca33:nombre-de-km-de-pare2:0
SEN
Senegal
Nombre de km de pare2
Rapport
somme
annuelle
annuelle
oui
région
Définitif
km
DEFCCS
ODP
null
null
null
DEFCCS
Nombre de km de pare-feu entretenu /km
META DONNEES
ca232b13-d44f-405b-bf5f-b565ae9e326f
bef9fd57-1a2d-4521-8440-531ab862ca33
https://agridata.ansd.sn/dataset/ca232b13-d44f-405b-bf5f-b565ae9e326f/resource/bef9fd57-1a2d-4521-8440-531ab862ca33/download/defccs_ind2.xlsx
cc-by
2026-07-27T11:04:43Z

Nombre de km de pare-feu entretenu /km | Africa (Senegal official open data)

1 rows - 1 Africa country - not-applicable - Repackaged by Electric Sheep Africa

rows countries years indicators license

TL;DR

This dataset packages one official XLSX resource from Senegal as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

Geographic coverage

1 Africa country:

Country Rows First year Last year Name
SEN 1 n/a n/a Senegal

Indicators or Resource Contents

  • This source file is packaged as a normalized tabular resource.

Schema

Column Type Description Example
source_record_id string Stable row identifier for tabular resources. bef9fd57-1a2d-4521-8440-531ab862ca33:nombre-de-km-de-pare2:0
country_iso3 category ISO3 country code. SEN
country_name category Country name. Senegal
source_sheet string Workbook sheet name, when the source is a spreadsheet. Nombre de km de pare2
methodedecollecteenquetera string Source column. Rapport
modedecalcultauxproportio string Source column. somme
frequencedeproductionirregul string Source column. annuelle
delaidediffusion string Source column. annuelle
lindicateurestildiffusepre string Source column. oui
niveaudedesagregationagese string Source column. région
statutdelindicateurdefiniti string Source column. Définitif
uniteechellemilliermi string Source column. km
source string Source column. DEFCCS
methodedacces string Source column. ODP
source_period_start_year Int64 First year inferred from source resource metadata. ``
source_period_end_year Int64 Last year inferred from source resource metadata. ``
source_period_label string Human-readable period inferred from source resource metadata. ``
source_provider category Publishing organization. DEFCCS
source_dataset category Source package title. Nombre de km de pare-feu entretenu /km
source_resource category Source resource title. META DONNEES
source_package_id category CKAN package UUID. ca232b13-d44f-405b-bf5f-b565ae9e326f
source_resource_id category CKAN resource UUID. bef9fd57-1a2d-4521-8440-531ab862ca33
source_url category Original source resource URL. https://agridata.ansd.sn/dataset/ca232b13-d44f-405b-bf5f-b565ae9e326f/re
license_id category Source license identifier. cc-by
retrieved_at category UTC retrieval timestamp. 2026-07-27T11:04:43Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-senegal-nombre-de-km-de-pare-feu-entretenu-km-a25a0365")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "SEN"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_senegal_nombre_de_km_de_pare_feu_entretenu_km_a25a0365_2026,
  title        = {Nombre de km de pare-feu entretenu /km | Africa (Senegal official open data)},
  author       = {DEFCCS},
  year         = {2026},
  url          = {https://agridata.ansd.sn/dataset/nombrekmdeparefeuentretenu},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-senegal-nombre-de-km-de-pare-feu-entretenu-km-a25a0365}}
}

License

Released under CC BY 4.0.

Original data (c) DEFCCS. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepafrica


Provenance: ingested 2026-07-27 via the Electric Sheep pipeline. Source URL: https://agridata.ansd.sn/dataset/ca232b13-d44f-405b-bf5f-b565ae9e326f/resource/bef9fd57-1a2d-4521-8440-531ab862ca33/download/defccs_ind2.xlsx

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