electricsheepafrica/africa-senegal-production-pasteque-1a8f971d

Production Pasteque | Africa (DAPSA)

1 rows - 1 Africa country/area - detected - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 1 rows from DAPSA, covering Production Pasteque. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Official statistics datasets help analysts inspect public data as published by governments, national statistical systems, and regional data portals.

Source-provided context: Production Pastèque

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: source_period_start_year.
• Time coverage basis: source_period_start_year.
• Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension	Value
Rows	1
Countries/areas	1
First period	detected
Last period	detected
Indicators	0
Columns	44
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
SEN	1	detected	detected	Senegal

Indicators, Variables, Or Resource Contents

• This repo preserves one source tabular resource with its usable columns kept together.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier assigned during Electric Sheep Africa engineering.	44a5d861-d665-4552-8cc0-1358e8fee373:production-pasteque:0
country_iso3	dictionary<values=string, indices=int8, ordered=0>	ISO3 country or area code.	SEN
country_name	dictionary<values=string, indices=int8, ordered=0>	Country or area name.	Senegal
source_sheet	string	Source column from the original resource.	Production Pasteque
vi1999	int64	Source column from the original resource.	283154
vi2005	int64	Source column from the original resource.	241418
vi2006	int64	Source column from the original resource.	225928
vi2007	double	Source column from the original resource.	117579.398294125
vi2008	double	Source column from the original resource.	327311.8
vi2009	double	Source column from the original resource.	190581.841360014
vi2010	double	Source column from the original resource.	240779.5
vi2011	double	Source column from the original resource.	148682.77705479675
vi2012	double	Source column from the original resource.	182132.4949202192
vi2013	double	Source column from the original resource.	136937.1212770259
vi2014	double	Source column from the original resource.	229267.34039377284
vi2015	double	Source column from the original resource.	270686.318120334
vi2016	double	Source column from the original resource.	284509.0200215839
vi2017	double	Source column from the original resource.	801417.4864252135
vi2018	double	Source column from the original resource.	1172772.46442264
vi2019	double	Source column from the original resource.	1190480.71
vi2020	double	Source column from the original resource.	1677475.983762301
vi2021	double	Source column from the original resource.	1611187.841920435
vi2022	double	Source column from the original resource.	1492625.145018458
vi2023	double	Source column from the original resource.	1384634.842083044
methodedecollecteenquetera	string	Source column from the original resource.	Enquete
modedecalcultauxproportio	string	Source column from the original resource.	produit
frequencedeproductionirregul	string	Source column from the original resource.	annuelle
delaidediffusion	string	Source column from the original resource.	Novembre
lindicateurestildiffusepre	string	Source column from the original resource.	dapsa.gouv.sn
niveaudedesagregationagese	string	Source column from the original resource.	departement
statutdelindicateurdefiniti	string	Source column from the original resource.	définitif
uniteechellemilliermi	string	Source column from the original resource.	T
source	string	Source column from the original resource.	DAPSA
source_period_start_year	int64	Start year inferred from source metadata.	``
source_period_end_year	int64	End year inferred from source metadata.	``
source_period_label	string	Source column from the original resource.	``
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	DAPSA
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	Production Pastèque
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	META DONNEES
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	22e26d2c-9390-49a1-9e1b-ed6038df0ced
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	44a5d861-d665-4552-8cc0-1358e8fee373
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://agridata.ansd.sn/dataset/22e26d2c-9390-49a1-9e1b-ed6038df0ced...
license_id	dictionary<values=string, indices=int8, ordered=0>	Source license identifier.	cc-by
retrieved_at	dictionary<values=string, indices=int8, ordered=0>	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-07-27T11:04:43Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-senegal-production-pasteque-1a8f971d")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

print(df.info())
print(df.head())

Filter By Geography

if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "SEN"]

Time-Series Pattern

if "value" in df.columns and "source_period_start_year" in df.columns:
    trend = df.sort_values("source_period_start_year")

Pivot For Analysis

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: source_period_start_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

• Source: DAPSA
• Publisher: DAPSA
• Portal: https://agridata.ansd.sn
• Resource: META DONNEES
• License: CC BY 4.0
• Retrieved/generated: 2026-07-27T11:06:03Z
• Hugging Face repo: electricsheepafrica/africa-senegal-production-pasteque-1a8f971d

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

• Profile the distribution of values
• Compare categories or geographies
• Join with complementary public datasets
• Build time-series views and period-over-period comparisons
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_senegal_production_pasteque_1a8f971d_2026,
  title        = {Production Pasteque | Africa (DAPSA)},
  author       = {DAPSA},
  year         = {2026},
  url          = {https://agridata.ansd.sn/dataset/productionpasteque},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-senegal-production-pasteque-1a8f971d}}
}

License

Released under CC BY 4.0.

Original data is published by DAPSA. 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.

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Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://agridata.ansd.sn/dataset/productionpasteque