electricsheepafrica/africa-senegal-moyenne-pluviometrique-dans-les-differentes-zones-agroecol-5b1cc949

Moyenne pluviométrique dans les différentes zones agroécologiques(Hauteur des pluies en mm) | Africa (Senegal official open data)

49 rows - 1 Africa country - 1961-2009 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV 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: Moyenne pluviométrique dans les différentes zones agroécologiques(Hauteur des pluies en mm)
• Publisher: ANSD
• Resource: ntsycvb_202505Md_164801.csv
• Format: CSV
• License: CC BY 4.0
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
SEN	49	1961	2009	Senegal

Indicators or Resource Contents

• moyenne-pluviometrique-dans-les-differentes-zones-agroecologiques-hauteu-5b1cc949 - Moyenne pluviométrique dans les différentes zones agroécologiques(Hauteur des pluies en mm)

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	moyenne-pluviometrique-dans-les-differentes-zones-agroecologiques-hauteu
indicator_name	string	Human-readable indicator name.	Moyenne pluviométrique dans les différentes zones agroécologiques(Hauteu
country_iso3	string	ISO3 country code.	SEN
country_name	string	Country name.	Senegal
year	Int64	Observation year.	1961
value	float64	Numeric observation value.	1079.0
unit	string	Measurement unit, when available.	source_units_unspecified
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.	ANSD
source_dataset	category	Source package title.	Moyenne pluviométrique dans les différentes zones agroécologiques(Hauteu
source_resource	category	Source resource title.	ntsycvb_202505Md_164801.csv
source_package_id	category	CKAN package UUID.	98b50fca-aee5-4ecb-bbc4-3a866506ea3e
source_resource_id	category	CKAN resource UUID.	a6660a57-ae57-4c26-821a-7766b2ca5bb9
source_url	category	Original source resource URL.	https://agridata.ansd.sn/dataset/98b50fca-aee5-4ecb-bbc4-3a866506ea3e/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-moyenne-pluviometrique-dans-les-differentes-zones-agroecol-5b1cc949")
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_moyenne_pluviometrique_dans_les_differentes_zones_agroecol_5b1cc9_2009,
  title        = {Moyenne pluviométrique dans les différentes zones agroécologiques(Hauteur des pluies en mm) | Africa (Senegal official open data)},
  author       = {ANSD},
  year         = {2009},
  url          = {https://agridata.ansd.sn/dataset/moyenne_pluviomtrique_dans_les_diffrentes_zones_agrocologiqueshauteur_des_pluies_en_mm},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-senegal-moyenne-pluviometrique-dans-les-differentes-zones-agroecol-5b1cc949}}
}

License

Released under CC BY 4.0.

Original data (c) ANSD. 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/98b50fca-aee5-4ecb-bbc4-3a866506ea3e/resource/a6660a57-ae57-4c26-821a-7766b2ca5bb9/download/ntsycvb_202505md_164801.csv