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electricsheepafrica/africa-senegal-abattages-controles-de-betails-6ff10516

Abattages Controles De Betails | Africa (ANSD) 894 rows - 1 Africa country/area - 2012-2024 - 1 indicator - Engineered by Electric Sheep Africa TL;DR This dataset contains 894 rows from ANSD, covering Abattages Controles De Betails. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. What This Dataset Measures Demographic datasets help analysts understand… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-senegal-abattages-controles-de-betails-6ff10516.

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Dataset Card

Abattages Controles De Betails | Africa (ANSD)

894 rows - 1 Africa country/area - 2012-2024 - 1 indicator - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 894 rows from ANSD, covering Abattages Controles De Betails. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Demographic datasets help analysts understand population structure, household conditions, migration, gender, age, and settlement patterns.

Source-provided context: Dataset créé automatiquement avec une ressource SDMX

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
Rows894
Countries/areas1
First period2012
Last period2024
Indicators1
Columns21
Source formatCSV

Geographic Coverage

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

AreaRowsFirst yearLast yearName
SEN89420122024Senegal

Indicators, Variables, Or Resource Contents

  • —abattages-controles-de-betails-da341927 - Abattages contrôlés de bétails(sourceunitsunspecified)

Schema

ColumnTypeDescriptionExample
indicator_idstringStable source or Electric Sheep Africa indicator identifier.abattages-controles-de-betails-da341927
indicator_namestringHuman-readable indicator name.Abattages contrôlés de bétails
country_iso3stringISO3 country or area code.SEN
country_namestringCountry or area name.Senegal
yearint64Observation year.2012
valuedoubleNumeric observation value.8393.0
unitstringMeasurement unit, when supplied by the source.source_units_unspecified
dimension_indicateurstringSource dimension retained during long-form normalization.C2
dimension_id_indicateurstringSource dimension retained during long-form normalization.C2
dimension_freqstringSource dimension retained during long-form normalization.M
source_period_start_yearint64Start year inferred from source metadata.``
source_period_end_yearint64End year inferred from source metadata.``
source_period_labelstringSource column from the original resource.``
source_providerdictionary<values=string, indices=int8, ordered=0>Publishing organization.ANSD
source_datasetdictionary<values=string, indices=int8, ordered=0>Source dataset or package title.Abattages contrôlés de bétails
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.tmoqsxb_202410Md_112933.csv
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.ab01ddb8-dffc-439c-af42-c28d94982caf
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.31999dcc-2ce0-452a-bd2c-0c8adcaf240d
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://agridata.ansd.sn/dataset/ab01ddb8-dffc-439c-af42-c28d94982caf...
license_iddictionary<values=string, indices=int8, ordered=0>Source license identifier.cc-by
retrieved_atdictionary<values=string, indices=int8, ordered=0>UTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-07-27T11:04:43Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-senegal-abattages-controles-de-betails-6ff10516")
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"] == "SEN"]

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

  • —Build demographic profiles
  • —Normalize indicators per capita
  • —Join with service-delivery datasets
  • —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_senegal_abattages_controles_de_betails_6ff10516_2024,
  title        = {Abattages Controles De Betails | Africa (ANSD)},
  author       = {ANSD},
  year         = {2024},
  url          = {https://agridata.ansd.sn/dataset/abattages_contrls_de_btails},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-senegal-abattages-controles-de-betails-6ff10516}}
}

License

Released under CC BY 4.0.

Original data is published by ANSD. 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 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://agridata.ansd.sn/dataset/abattagescontrlsde_btails