electricsheepafrica/africa-senegal-nombre-de-branches-d-activite-e3abbace

Nombre de branches d'activité | Africa (Senegal official open data)

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

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

• Source: Nombre de branches d'activité
• Publisher: CNAAS
• Resource: META DATA
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: tabular_resource

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.	11624b6b-5f0d-4a1c-9fb1-89e24862bc57:nombre-de-branches-d: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 branches d
valeurdelasituationderefere	int64	Source column.	2
datesdr	int64	Source column.	2009
vi2009	int64	Source column.	2
vi2012	int64	Source column.	5
vi2016	int64	Source column.	7
vi2023	int64	Source column.	6
methodedecollecteenquetera	string	Source column.	Exploitation rapports /Note techniques des produits
modedecalcultauxproportio	string	Source column.	Nbre de branche
lindicateurestildiffusepre	string	Source column.	Oui
niveaudedesagregationagese	string	Source column.	Type de produit
statutdelindicateurdefiniti	string	Source column.	Provisoire
source	string	Source column.	Direction technique et commerciale de la CNAAS
methodedacces	string	Source column.	sur le site web www.cnaas.sn
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.	CNAAS
source_dataset	category	Source package title.	Nombre de branches d'activité
source_resource	category	Source resource title.	META DATA
source_package_id	category	CKAN package UUID.	90f2c579-60ae-44d7-9648-8e169fb18a93
source_resource_id	category	CKAN resource UUID.	11624b6b-5f0d-4a1c-9fb1-89e24862bc57
source_url	category	Original source resource URL.	https://agridata.ansd.sn/dataset/90f2c579-60ae-44d7-9648-8e169fb18a93/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-branches-d-activite-e3abbace")
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_branches_d_activite_e3abbace_2026,
  title        = {Nombre de branches d'activité | Africa (Senegal official open data)},
  author       = {CNAAS},
  year         = {2026},
  url          = {https://agridata.ansd.sn/dataset/nombredebranchesdactivite},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-senegal-nombre-de-branches-d-activite-e3abbace}}
}

License

Released under CC BY 4.0.

Original data (c) CNAAS. 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

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Provenance: ingested 2026-07-27 via the Electric Sheep pipeline. Source URL: https://agridata.ansd.sn/dataset/90f2c579-60ae-44d7-9648-8e169fb18a93/resource/11624b6b-5f0d-4a1c-9fb1-89e24862bc57/download/cnaas_ind3.xlsx