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electricsheepafrica/africa-morocco-activite-generale-des-tribunaux-de-premiere-instance-514674d3

Activite Generale Des Tribunaux De Premiere Instance | Africa (Morocco Open Data) 11 rows - 1 Africa country/area - time not specified - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 11 rows from Morocco Open Data, covering Activite Generale Des Tribunaux De Premiere Instance. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. What… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-morocco-activite-generale-des-tribunaux-de-premiere-instance-514674d3.

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Dataset Card

Activite Generale Des Tribunaux De Premiere Instance | Africa (Morocco Open Data)

11 rows - 1 Africa country/area - time not specified - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 11 rows from Morocco Open Data, covering Activite Generale Des Tribunaux De Premiere Instance. 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 générale des tribunaux de première instance, détaillée selon les affaires de la section civile et de la section criminelle

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

DimensionValue
Rows11
Countries/areas1
First periodn/a
Last periodn/a
Indicators0
Columns35
Source formatXLSX

Geographic Coverage

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

AreaRowsFirst yearLast yearName
MAR11n/an/aMorocco

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.1aae4777-5902-4ac7-b069-87dcb5b61bb3:dataset:0
country_iso3stringISO3 country or area code.MAR
country_namestringCountry or area name.Morocco
source_sheetstringSource column from the original resource.الابتدا
columnstringSource column from the original resource.النسبة من المسجل
d_92771doubleSource column from the original resource.0.0469503013044617
d_181360doubleSource column from the original resource.0.1203166806490286
d_23465doubleSource column from the original resource.0.0179479273905207
d_94982doubleSource column from the original resource.0.0938536271658325
d_33670doubleSource column from the original resource.0.0247176842032832
d_16703doubleSource column from the original resource.0.011444805839246
d_15344doubleSource column from the original resource.0.0100223100273383
d_16980doubleSource column from the original resource.0.0106614407037583
d_7508doubleSource column from the original resource.0.0055126674906115
d_14968doubleSource column from the original resource.0.0073837457027393
d_22042doubleSource column from the original resource.0.0154079453338167
d_55965doubleSource column from the original resource.0.0390690128805341
d_56484doubleSource column from the original resource.0.0370457606978301
d_55417doubleSource column from the original resource.0.0375313941517558
d_168556doubleSource column from the original resource.0.1058482441770299
d_46018doubleSource column from the original resource.0.0299848884630958
d_41491doubleSource column from the original resource.0.029176381541165
d_108113doubleSource column from the original resource.0.0711823520538193
d_263308doubleSource column from the original resource.0.1680589482264454
d_126304doubleSource column from the original resource.0.0981608121590972
d_19538doubleSource column from the original resource.0.0197230698385897
d_1511428doubleSource column from the original resource.1.0
source_providerstringPublishing organization.MJ
source_datasetstringSource dataset or package title.Activité générale des tribunaux de première instance
source_resourcestringSource resource title, table name, or file name.النشاط العام للمحاكم الابتدائية قسم مدني-قسم زجري سنة 2024.xlsx
source_package_idstringSource package identifier.7c3e8e8e-536c-47ce-a708-8f113d843b9a
source_resource_idstringSource resource identifier.1aae4777-5902-4ac7-b069-87dcb5b61bb3
source_urlstringOriginal source URL or download URL.https://data.gov.ma/data/ar/dataset/7c3e8e8e-536c-47ce-a708-8f113d843...
license_idstringSource license identifier.odc-odbl
retrieved_atstringUTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-07-16T21:31:48Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-morocco-activite-generale-des-tribunaux-de-premiere-instance-514674d3")
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"] == "MAR"]

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

  • —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

bibtex
@misc{electric_sheep_africa_africa_morocco_activite_generale_des_tribunaux_de_premiere_instance_514674d3_2026,
  title        = {Activite Generale Des Tribunaux De Premiere Instance | Africa (Morocco Open Data)},
  author       = {MJ},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/activite-generale-des-tribunaux-de-premiere-instance-en-2023},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-activite-generale-des-tribunaux-de-premiere-instance-514674d3}}
}

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-generale-des-tribunaux-de-premiere-instance-en-2023