electricsheepafrica/africa-tunisia-station-climatique-station-gda-bir-ben-kemla-prosim-dggree-b61df314

Station Climatique Station Gda Bir Ben Kemla Prosim Dggree | Africa (Tunisia Open Data)

4,926 rows - 1 Africa country/area - 2026 - 1 indicator - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 4,926 rows from Tunisia Open Data, covering Station Climatique Station Gda Bir Ben Kemla Prosim Dggree. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Agriculture datasets help analysts examine production, prices, inputs, land use, food systems, and rural economic activity.

Source-provided context: Données de STATION GDA BIR BEN KEMLA - PROSIM - DGGREE - 2023 - B

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

Dimension	Value
Rows	4,926
Countries/areas	1
First period	2026
Last period	2026
Indicators	1
Columns	21
Source format	CSV

Geographic Coverage

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

Area	Rows	First year	Last year	Name
TUN	4,926	2026	2026	Tunisia

Indicators, Variables, Or Resource Contents

• station-climatique-station-gda-bir-ben-kemla-prosim-dggree-2023-b-fieldc-549963ce - Station Climatique [STATION GDA BIR BEN KEMLA - PROSIM - DGGREE - 2023 - B] FieldClimate(source_units_unspecified)

Schema

Column	Type	Description	Example
indicator_id	string	Stable source or Electric Sheep Africa indicator identifier.	station-climatique-station-gda-bir-ben-kemla-prosim-dggree-2023-b-fie...
indicator_name	string	Human-readable indicator name.	Station Climatique [STATION GDA BIR BEN KEMLA - PROSIM - DGGREE - 202...
country_iso3	string	ISO3 country or area code.	TUN
country_name	string	Country or area name.	Tunisia
year	int64	Observation year.	2026
value	double	Numeric observation value.	10022.0
unit	string	Measurement unit, when supplied by the source.	source_units_unspecified
dimension_nom_ar	string	Source dimension retained during long-form normalization.	Solar Panel
dimension_nom_fr	string	Source dimension retained during long-form normalization.	Solar Panel
dimension_unite	string	Source dimension retained during long-form normalization.	mV
source_period_start_year	int64	Start year inferred from source metadata.	2023
source_period_end_year	int64	End year inferred from source metadata.	2023
source_period_label	string	Source column from the original resource.	2023
source_provider	string	Publishing organization.	Ministère de l'Agriculture, des Ressources Hydrauliques et de la Pêche
source_dataset	string	Source dataset or package title.	Station Climatique [STATION GDA BIR BEN KEMLA - PROSIM - DGGREE - 202...
source_resource	string	Source resource title, table name, or file name.	STATION GDA BIR BEN KEMLA - PROSIM - DGGREE - 2023 - B
source_package_id	string	Source package identifier.	fdc59b0e-c217-47ff-a56c-f283b507bbce
source_resource_id	string	Source resource identifier.	93a78c53-aaa2-4a4f-8057-eb73a28b2eb7
source_url	string	Original source URL or download URL.	https://catalog.agridata.tn/dataset/fae6e817-54fb-4f3a-b9e3-d69e0aeea...
license_id	string	Source license identifier.	licence-nationale-de-données-publiques-ouvertes
retrieved_at	string	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-07-18T23:08:36Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-tunisia-station-climatique-station-gda-bir-ben-kemla-prosim-dggree-b61df314")
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"] == "TUN"]

Time-Series Pattern

if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("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: 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: Tunisia Open Data
• Publisher: Ministère de l'Agriculture, des Ressources Hydrauliques et de la Pêche
• Portal: https://catalog.data.gov.tn
• Resource: STATION GDA BIR BEN KEMLA - PROSIM - DGGREE - 2023 - B
• License: licence-nationale-de-données-publiques-ouvertes
• Retrieved/generated: 2026-07-18T23:09:09Z
• Hugging Face repo: electricsheepafrica/africa-tunisia-station-climatique-station-gda-bir-ben-kemla-prosim-dggree-b61df314

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

• Track production or price movements
• Compare regions or commodities
• Join with climate and trade data
• 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

@misc{electric_sheep_africa_africa_tunisia_station_climatique_station_gda_bir_ben_kemla_prosim_dggree_b61df3_2026,
  title        = {Station Climatique Station Gda Bir Ben Kemla Prosim Dggree | Africa (Tunisia Open Data)},
  author       = {Ministère de l'Agriculture, des Ressources Hydrauliques et de la Pêche},
  year         = {2026},
  url          = {https://catalog.data.gov.tn/dataset/station-climatique-station-gda-bir-ben-kemla-prosim-dggree-2023-b-fieldclimate},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-station-climatique-station-gda-bir-ben-kemla-prosim-dggree-b61df314}}
}

License

Released under licence-nationale-de-données-publiques-ouvertes.

Original data is published by Ministère de l'Agriculture, des Ressources Hydrauliques et de la Pêche. 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://catalog.data.gov.tn/dataset/station-climatique-station-gda-bir-ben-kemla-prosim-dggree-2023-b-fieldclimate