CoolFace
Datasetpublic

electricsheepafrica/africa-tunisia-tn-production-mensuelle-de-gpl-champs-af17c92e

Tn Production Mensuelle De Gpl Champs | Africa (Tunisia Open Data) 929 rows - 1 Africa country/area - 2010-2021 - 8 indicators - Engineered by Electric Sheep Africa TL;DR This dataset contains 929 rows from Tunisia Open Data, covering Tn Production Mensuelle De Gpl Champs. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. What This Dataset Measures Official… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-tn-production-mensuelle-de-gpl-champs-af17c92e.

sourceHugging Faceotherupdated 2mo agoView on Hugging Face
0likes12downloads
Dataset Card

Tn Production Mensuelle De Gpl Champs | Africa (Tunisia Open Data)

929 rows - 1 Africa country/area - 2010-2021 - 8 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 929 rows from Tunisia Open Data, covering Tn Production Mensuelle De Gpl Champs. 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 mensuelle de GPL par champs

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
Rows929
Countries/areas1
First period2010
Last period2021
Indicators8
Columns18
Source formatCSV

Geographic Coverage

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

AreaRowsFirst yearLast yearName
TUN92920102021Tunisia

Indicators, Variables, Or Resource Contents

  • —tn-production-mensuelle-de-gpl-champs-el-franig-e2f5f76f - TN-Production mensuelle de GPL champs - el franig(sourceunitsunspecified)
  • —tn-production-mensuelle-de-gpl-champs-baguel-tarfa-92b4d26a - TN-Production mensuelle de GPL champs - baguel tarfa(sourceunitsunspecified)
  • —tn-production-mensuelle-de-gpl-champs-gherib-bb407df2 - TN-Production mensuelle de GPL champs - gherib(sourceunitsunspecified)
  • —tn-production-mensuelle-de-gpl-champs-hasdrubal-9a8cca2a - TN-Production mensuelle de GPL champs - hasdrubal(sourceunitsunspecified)
  • —tn-production-mensuelle-de-gpl-champs-maamoura-c6b7824c - TN-Production mensuelle de GPL champs - maamoura(sourceunitsunspecified)
  • —tn-production-mensuelle-de-gpl-champs-baraka-44394273 - TN-Production mensuelle de GPL champs - baraka(sourceunitsunspecified)
  • —tn-production-mensuelle-de-gpl-champs-nawara-f6192aae - TN-Production mensuelle de GPL champs - nawara(sourceunitsunspecified)
  • —tn-production-mensuelle-de-gpl-champs-total-08d7d74f - TN-Production mensuelle de GPL champs - total(sourceunitsunspecified)

Schema

ColumnTypeDescriptionExample
indicator_idstringStable source or Electric Sheep Africa indicator identifier.tn-production-mensuelle-de-gpl-champs-el-franig-e2f5f76f
indicator_namestringHuman-readable indicator name.TN-Production mensuelle de GPL champs - el franig
country_iso3stringISO3 country or area code.TUN
country_namestringCountry or area name.Tunisia
yearint64Observation year.2010
valuedoubleNumeric observation value.2.113
unitstringMeasurement unit, when supplied by the source.source_units_unspecified
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.TN-Production mensuelle de GPL champs
source_resourcestringSource resource title, table name, or file name.Production mensuelle de GPL par champs
source_package_idstringSource package identifier.d5d4c3d4-ba76-45f8-a13c-661ecf6a6ecc
source_resource_idstringSource resource identifier.c323d193-de01-4fcf-bbd1-a3e0c6423e61
source_urlstringOriginal source URL or download URL.https://catalog.data.gov.tn/dataset/d5d4c3d4-ba76-45f8-a13c-661ecf6a6...
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-tn-production-mensuelle-de-gpl-champs-af17c92e")
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

  • —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

  • —Profile the distribution of values
  • —Compare categories or geographies
  • —Join with complementary public 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_tunisia_tn_production_mensuelle_de_gpl_champs_af17c92e_2021,
  title        = {Tn Production Mensuelle De Gpl Champs | Africa (Tunisia Open Data)},
  author       = {Ministère de l'Industrie, de l’Energie, des Mines},
  year         = {2021},
  url          = {https://catalog.data.gov.tn/dataset/production-mensuelle-de-gpl-par-champs},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-tn-production-mensuelle-de-gpl-champs-af17c92e}}
}

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/production-mensuelle-de-gpl-par-champs