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electricsheepafrica/africa-tunisia-oasis-evolution-des-superficies-oasis-en-hectare-4c7af0f0

Oasis Evolution Des Superficies Oasis En Hectare | Africa (Tunisia Open Data) 64 rows - 1 Africa country/area - 1980-2016 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 64 rows from Tunisia Open Data, covering Oasis Evolution Des Superficies Oasis En Hectare. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. What This Dataset… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-oasis-evolution-des-superficies-oasis-en-hectare-4c7af0f0.

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Dataset Card

Oasis Evolution Des Superficies Oasis En Hectare | Africa (Tunisia Open Data)

64 rows - 1 Africa country/area - 1980-2016 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 64 rows from Tunisia Open Data, covering Oasis Evolution Des Superficies Oasis En Hectare. 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: Evolution de la superficie des oasis

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: not detected.
  • —Time coverage basis: source metadata.
  • —Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

DimensionValue
Rows64
Countries/areas1
First period1980
Last period2016
Indicators0
Columns15
Source formatCSV

Geographic Coverage

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

AreaRowsFirst yearLast yearName
TUN6419802016Tunisia

Indicators, Variables, Or Resource Contents

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

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier assigned during Electric Sheep Africa engineering.728dd52f-45e3-482b-9a6c-79e2a99fae10:0
country_iso3stringISO3 country or area code.TUN
country_namestringCountry or area name.Tunisia
pk_ezob_u_content_types_xml_tena0_14_n_qe_o_g_7uc14uo_vjstringSource column from the original resource.‹ÁóŸ*¤F¦ ŒJ/Õäõht#uðžrj1ÄtòÂ’5ÍU¢gÕ0Ü8IŒýs\0žÈîûÁ–»*Fgµ"V.×...
source_period_start_yearint64Start year inferred from source metadata.1980
source_period_end_yearint64End year inferred from source metadata.2016
source_period_labelstringSource column from the original resource.1980-2016
source_providerstringPublishing organization.Ministère de l'Agriculture, des Ressources Hydrauliques et de la Pêche
source_datasetstringSource dataset or package title.Oasis - Evolution des superficies OASIS en hectare
source_resourcestringSource resource title, table name, or file name.Evolution de la superficie des oasis
source_package_idstringSource package identifier.7d7ab6da-90a4-4f8d-a345-264c486d1a42
source_resource_idstringSource resource identifier.728dd52f-45e3-482b-9a6c-79e2a99fae10
source_urlstringOriginal source URL or download URL.https://catalog.agridata.tn/ar/dataset/eb6e8f57-f607-42a8-85ae-3ae7a3...
license_idstringSource license identifier.licence-nationale-de-données-publiques-ouvertes
retrieved_atstringUTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-07-18T23:08:36Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-tunisia-oasis-evolution-des-superficies-oasis-en-hectare-4c7af0f0")
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"] == "TUN"]

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

  • —No canonical year/date column was detected in the packaged table; use source metadata and domain context for temporal interpretation.
  • —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

  • —Track production or price movements
  • —Compare regions or commodities
  • —Join with climate and trade data
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_tunisia_oasis_evolution_des_superficies_oasis_en_hectare_4c7af0f0_2016,
  title        = {Oasis Evolution Des Superficies Oasis En Hectare | Africa (Tunisia Open Data)},
  author       = {Ministère de l'Agriculture, des Ressources Hydrauliques et de la Pêche},
  year         = {2016},
  url          = {https://catalog.data.gov.tn/dataset/evolution-des-superficies-oasis-en-hectare-entre-1980-et-2016},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-oasis-evolution-des-superficies-oasis-en-hectare-4c7af0f0}}
}

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.


Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://catalog.data.gov.tn/dataset/evolution-des-superficies-oasis-en-hectare-entre-1980-et-2016