electricsheepafrica/africa-tunisia-onth-les-manifestations-thermoninerales-en-tunsie-fa19ad01

Onth Les Manifestations Thermoninerales En Tunsie | Africa (Tunisia Open Data)

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

TL;DR

This dataset contains 131 rows from Tunisia Open Data, covering Onth Les Manifestations Thermoninerales En Tunsie. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Transport datasets help analysts examine mobility, infrastructure, passenger movement, logistics, and access to services.

Source-provided context: La Tunisie dispose d’un potentiel thermal très important. Des sources thermominérales sourdent du Nord au Sud de la Tunisie ; certaines sont exploitées, d’autres en cours d’étude en vue d’être exploitées pour des cures thermales répondant à différentes indications. Toutes les sources thermominérales de la Tunisie sont issues des précipitations infiltrées dans le sous-sol ; celles de la moitié nord du pays appartiennent au faciès chloruré sodique, et celle de la partie sud pour la plupart, sulfaté calcique et magnésien et chloruré sodique

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	131
Countries/areas	1
First period	detected
Last period	detected
Indicators	0
Columns	52
Source format	CSV

Geographic Coverage

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

Area	Rows	First year	Last year	Name
TUN	131	detected	detected	Tunisia

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.	3e7301e6-97cd-42f7-964c-b862512b3294:0
country_iso3	string	ISO3 country or area code.	TUN
country_name	string	Country or area name.	Tunisia
num_source	int64	Source column from the original resource.	1
nom_source	string	Source column from the original resource.	Aîn El-Hammam
situation	string	Source column from the original resource.	Aïn El-Hammam se trouve à 3 km au Nord Ouest de la station de chemin ...
gouvernorat	string	Source column from the original resource.	BIZERTE
altitude	double	Source column from the original resource.	300.0
temperature	double	Source column from the original resource.	23.0
debit	string	Source column from the original resource.	2.50 l/s
ph	double	Source column from the original resource.	7.6
residu_sec	double	Source column from the original resource.	378.0
durete_total	string	Source column from the original resource.	25
calcium	double	Source column from the original resource.	86.86
magnesium	double	Source column from the original resource.	8.21
sodium	double	Source column from the original resource.	36.37
potassium	double	Source column from the original resource.	1.79
bicarbonate	double	Source column from the original resource.	254.66
sulfate	double	Source column from the original resource.	33.15
chlorure	double	Source column from the original resource.	72.78
fluorures	double	Source column from the original resource.	0.2
nitrate	string	Source column from the original resource.	4.69
sulfure	string	Source column from the original resource.	``
element_en_traces	string	Source column from the original resource.	Co; Al; Sr; Fe; Zn; Se; As ;Cu
classification	string	Source column from the original resource.	Eau bicarbonatée calcique à faible minéralisation
maladies_metaboliques	string	Source column from the original resource.	VRAI
rhumatologie	string	Source column from the original resource.	FAUX
dermatologie	string	Source column from the original resource.	FAUX
digestif	string	Source column from the original resource.	FAUX
gynecologie	string	Source column from the original resource.	FAUX
respiratoires	string	Source column from the original resource.	FAUX
appareil_urinaire	string	Source column from the original resource.	VRAI
phlebologie	string	Source column from the original resource.	FAUX
remise_forme	string	Source column from the original resource.	FAUX
systeme_nerveux	string	Source column from the original resource.	FAUX
station_thermale	string	Source column from the original resource.	FAUX
bain_thermal	string	Source column from the original resource.	FAUX
um_bouteille	string	Source column from the original resource.	VRAI
autres	string	Source column from the original resource.	FAUX
indications	string	Source column from the original resource.	Maladies de'appareil urinaire, affections uro-néphrologiques : lithia...
technique_cure	string	Source column from the original resource.	``
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	string	Publishing organization.	Office national du thermalisme et de l'hydrothérapie
source_dataset	string	Source dataset or package title.	ONTH - Les Manifestations Thermoninérales en Tunsie
source_resource	string	Source resource title, table name, or file name.	Les manifestations thermoninérales en Tunisie
source_package_id	string	Source package identifier.	0b0ab544-d692-44bf-b012-d0ca2a2d503b
source_resource_id	string	Source resource identifier.	3e7301e6-97cd-42f7-964c-b862512b3294
source_url	string	Original source URL or download URL.	https://catalog.data.gov.tn/dataset/0b0ab544-d692-44bf-b012-d0ca2a2d5...
license_id	string	Source license identifier.	other-open
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-onth-les-manifestations-thermoninerales-en-tunsie-fa19ad01")
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 "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: Tunisia Open Data
• Publisher: Office national du thermalisme et de l'hydrothérapie
• Portal: https://catalog.data.gov.tn
• Resource: Les manifestations thermoninérales en Tunisie
• License: other-open
• Retrieved/generated: 2026-07-18T23:18:48Z
• Hugging Face repo: electricsheepafrica/africa-tunisia-onth-les-manifestations-thermoninerales-en-tunsie-fa19ad01

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 mobility over time
• Compare routes or geographies
• Join with economic and population 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

@misc{electric_sheep_africa_africa_tunisia_onth_les_manifestations_thermoninerales_en_tunsie_fa19ad01_2026,
  title        = {Onth Les Manifestations Thermoninerales En Tunsie | Africa (Tunisia Open Data)},
  author       = {Office national du thermalisme et de l'hydrothérapie},
  year         = {2026},
  url          = {https://catalog.data.gov.tn/dataset/les-manifestations-thermoninerales-en-tunsie},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-onth-les-manifestations-thermoninerales-en-tunsie-fa19ad01}}
}

License

Released under other-open.

Original data is published by Office national du thermalisme et de l'hydrothérapie. 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/les-manifestations-thermoninerales-en-tunsie