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metadata
license: odbl
language:
  - en
task_categories:
  - tabular-classification
  - tabular-regression
multilinguality: multilingual
size_categories:
  - n<1K
tags:
  - tabular
  - africa
  - open-data
  - official-statistics
  - morocco
  - mj
  - morocco-open-data
  - justice
  - tribunaux-administratifs
  - activite
  - tribunaux
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-00000-of-00001.parquet
pretty_name: Activite Detaillee Des Tribunaux Administratifs | Africa (Morocco Open Data)

Activite Detaillee Des Tribunaux Administratifs | Africa (Morocco Open Data)

134 rows - 1 Africa country/area - time not specified - source table - Engineered by Electric Sheep Africa

rows countries period indicators license

TL;DR

This dataset contains 134 rows from Morocco Open Data, covering Activite Detaillee Des Tribunaux Administratifs. 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: Ce fichier présente l'activité détaillée des tribunaux administratifs

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: not detected.
  • Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension Value
Rows 134
Countries/areas 1
First period n/a
Last period n/a
Indicators 0
Columns 18
Source format XLSX

Geographic Coverage

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

Area Rows First year Last year Name
MAR 134 n/a n/a Morocco

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. 947d96a6-406b-47de-aa8b-da574b4e3fe9:dataset:0
country_iso3 string ISO3 country or area code. MAR
country_name string Country or area name. Morocco
source_sheet string Source column from the original resource. ادارية مفصل
column string Source column from the original resource. الاستعجالي
d_2023 double Source column from the original resource. 116.0
d_2024 double Source column from the original resource. 2026.0
d_2024_2 double Source column from the original resource. 2142.0
d_2024_3 double Source column from the original resource. 2101.0
d_2024_4 double Source column from the original resource. 41.0
source_provider string Publishing organization. MJ
source_dataset string Source dataset or package title. Activité détaillée des tribunaux administratifs
source_resource string Source resource title, table name, or file name. النشاط المفصل للمحاكم الإدارية سنة 2024.xlsx
source_package_id string Source package identifier. d274abbb-390e-4058-a270-7f8d0d296298
source_resource_id string Source resource identifier. 947d96a6-406b-47de-aa8b-da574b4e3fe9
source_url string Original source URL or download URL. https://data.gov.ma/data/ar/dataset/d274abbb-390e-4058-a270-7f8d0d296...
license_id string Source license identifier. odc-odbl
retrieved_at string UTC source retrieval timestamp from the Electric Sheep Africa pipeline. 2026-07-16T21:31:48Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-morocco-activite-detaillee-des-tribunaux-administratifs-76be0687")
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"] == "MAR"]

Time-Series Pattern

if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("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

  • 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

  • Profile the distribution of values
  • Compare categories or geographies
  • Join with complementary public datasets
  • Check missingness before modeling
  • Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_morocco_activite_detaillee_des_tribunaux_administratifs_76be0687_2026,
  title        = {Activite Detaillee Des Tribunaux Administratifs | Africa (Morocco Open Data)},
  author       = {MJ},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/activite-detaillee-des-tribunaux-administratifs-en-2023},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-activite-detaillee-des-tribunaux-administratifs-76be0687}}
}

License

Released under Open Data Commons Open Database License.

Original data is published by MJ. 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 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.gov.ma/data/dataset/activite-detaillee-des-tribunaux-administratifs-en-2023