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electricsheepafrica/africa-tunisia-exportation-annuelle-du-gpl-champs-propane-386d28da

Exportation Annuelle Du Gpl Champs Propane | Africa (Tunisia Open Data) 17 rows - 1 Africa country/area - 2005-2021 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 17 rows from Tunisia Open Data, covering Exportation Annuelle Du Gpl Champs Propane. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. What This Dataset Measures… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-exportation-annuelle-du-gpl-champs-propane-386d28da.

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Dataset Card

Exportation Annuelle Du Gpl Champs Propane | Africa (Tunisia Open Data)

17 rows - 1 Africa country/area - 2005-2021 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 17 rows from Tunisia Open Data, covering Exportation Annuelle Du Gpl Champs Propane. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Economic datasets help analysts examine production, prices, public finance, trade flows, market conditions, and macroeconomic change.

Source-provided context: Exportation annuelle du GPL champs (propane) en Kt

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

Coverage

DimensionValue
Rows17
Countries/areas1
First period2005
Last period2021
Indicators0
Columns15
Source formatCSV

Geographic Coverage

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

AreaRowsFirst yearLast yearName
TUN1720052021Tunisia

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.90b84114-5080-4a55-999b-03e7593d794a:0
country_iso3stringISO3 country or area code.TUN
country_namestringCountry or area name.Tunisia
date_exportations_totalesstringSource column from the original resource.2005;;
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_providerstringPublishing organization.Ministère de l'Industrie, de l’Energie, des Mines
source_datasetstringSource dataset or package title.Exportation annuelle du GPL champs (propane)
source_resourcestringSource resource title, table name, or file name.Exportation annuelle du GPL champs (propane)
source_package_idstringSource package identifier.ee42110c-81f3-4976-96a0-c151012389e2
source_resource_idstringSource resource identifier.90b84114-5080-4a55-999b-03e7593d794a
source_urlstringOriginal source URL or download URL.https://catalog.data.gov.tn/dataset/ee42110c-81f3-4976-96a0-c15101238...
license_idstringSource license identifier.otl-data.industrie.gov.tn
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-exportation-annuelle-du-gpl-champs-propane-386d28da")
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 "date_exportations_totales" in df.columns:
    trend = df.sort_values("date_exportations_totales")

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: date_exportations_totales.
  • —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 time-series dashboards
  • —Compare economic indicators
  • —Join with population or sector data
  • —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

bibtex
@misc{electric_sheep_africa_africa_tunisia_exportation_annuelle_du_gpl_champs_propane_386d28da_2021,
  title        = {Exportation Annuelle Du Gpl Champs Propane | Africa (Tunisia Open Data)},
  author       = {Ministère de l'Industrie, de l’Energie, des Mines},
  year         = {2021},
  url          = {https://catalog.data.gov.tn/dataset/exportation-annuelle-du-gpl-champs-propane},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-exportation-annuelle-du-gpl-champs-propane-386d28da}}
}

License

Released under otl-data.industrie.gov.tn.

Original data is published by Ministère de l'Industrie, de l’Energie, des Mines. 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/exportation-annuelle-du-gpl-champs-propane