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electricsheepafrica/africa-tunisia-tn-horaires-des-consultations-des-services-par-etablisseme-ecf4c45a

Tn Horaires Des Consultations Des Services Par Etablisseme | Africa (Tunisia Open Data) 16 rows - 1 Africa country/area - 2026 - 1 indicator - Engineered by Electric Sheep Africa TL;DR This dataset contains 16 rows from Tunisia Open Data, covering Tn Horaires Des Consultations Des Services Par Etablisseme. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. What This… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-tn-horaires-des-consultations-des-services-par-etablisseme-ecf4c45a.

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Dataset Card

Tn Horaires Des Consultations Des Services Par Etablisseme | Africa (Tunisia Open Data)

16 rows - 1 Africa country/area - 2026 - 1 indicator - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 16 rows from Tunisia Open Data, covering Tn Horaires Des Consultations Des Services Par Etablisseme. 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: Horaires des consultations des services hospitaliers ainsi que la durée moyenne d'une consultation par établissement de santé.

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
Rows16
Countries/areas1
First period2026
Last period2026
Indicators1
Columns22
Source formatCSV

Geographic Coverage

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

AreaRowsFirst yearLast yearName
TUN1620262026Tunisia

Indicators, Variables, Or Resource Contents

  • —tn-horaires-des-consultations-des-services-par-etablissement-de-sante-30906924 - TN-Horaires des consultations des services par établissement de santé(sourceunitsunspecified)

Schema

ColumnTypeDescriptionExample
indicator_idstringStable source or Electric Sheep Africa indicator identifier.tn-horaires-des-consultations-des-services-par-etablissement-de-sante...
indicator_namestringHuman-readable indicator name.TN-Horaires des consultations des services par établissement de santé
country_iso3stringISO3 country or area code.TUN
country_namestringCountry or area name.Tunisia
datestringObservation date.2026-07-19
yearint64Observation year.2026
valuedoubleNumeric observation value.15.0
unitstringMeasurement unit, when supplied by the source.source_units_unspecified
dimension_servicestringSource dimension retained during long-form normalization.CHIRURGIE
dimension_heue_debutstringSource dimension retained during long-form normalization.07:00
dimension_nom_etabstringSource dimension retained during long-form normalization.ETAB1
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.Centre informatique du ministère de la Santé
source_datasetstringSource dataset or package title.TN-Horaires des consultations des services par établissement de santé
source_resourcestringSource resource title, table name, or file name.rdv_service.csv
source_package_idstringSource package identifier.0e5c1512-f61a-4761-9a51-31afe83663a4
source_resource_idstringSource resource identifier.f8f6084c-eca8-4936-acb6-f3acdc8e384a
source_urlstringOriginal source URL or download URL.https://catalog.data.gov.tn/dataset/0e5c1512-f61a-4761-9a51-31afe8366...
license_idstringSource license identifier.cc-by
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-horaires-des-consultations-des-services-par-etablisseme-ecf4c45a")
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

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

bibtex
@misc{electric_sheep_africa_africa_tunisia_tn_horaires_des_consultations_des_services_par_etablisseme_ecf4c4_2026,
  title        = {Tn Horaires Des Consultations Des Services Par Etablisseme | Africa (Tunisia Open Data)},
  author       = {Centre informatique du ministère de la Santé},
  year         = {2026},
  url          = {https://catalog.data.gov.tn/dataset/tn-horaires-des-consultations-des-services-par-etablissement-de-sante},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-tn-horaires-des-consultations-des-services-par-etablisseme-ecf4c45a}}
}

License

Released under CC BY 4.0.

Original data is published by Centre informatique du ministère de la Santé. 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/tn-horaires-des-consultations-des-services-par-etablissement-de-sante