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electricsheepafrica/africa-morocco-activite-generale-des-tribunaux-de-premiere-instance-en-20-5b174026

Activite Generale Des Tribunaux De Premiere Instance En 20 | 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 En 20. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-morocco-activite-generale-des-tribunaux-de-premiere-instance-en-20-5b174026.

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Activite Generale Des Tribunaux De Premiere Instance En 20 | 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 En 20. 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 en 2021, 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
Columns33
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.02113c9a-2c61-465e-b0ae-4155fba6686e: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_62500doubleSource column from the original resource.0.0431546982002074
d_231003doubleSource column from the original resource.0.1595018359734802
d_26151doubleSource column from the original resource.0.0180566162021379
d_27422doubleSource column from the original resource.0.0189342101447374
d_40035doubleSource column from the original resource.0.0276431734791248
d_17215doubleSource column from the original resource.0.0118865300722651
d_15927doubleSource column from the original resource.0.0109971980517552
d_15212doubleSource column from the original resource.0.0105035083043448
d_14847doubleSource column from the original resource.0.0102514848668556
d_26266doubleSource column from the original resource.0.0181360208468263
d_63506doubleSource column from the original resource.0.0438493162224379
d_45092doubleSource column from the original resource.0.0311349064199
d_75880doubleSource column from the original resource.0.0523932559909078
d_159024doubleSource column from the original resource.0.1098021236254365
d_32778doubleSource column from the original resource.0.0226323951617023
d_121667doubleSource column from the original resource.0.0840080426547941
d_308445doubleSource column from the original resource.0.2129736141818076
d_129078doubleSource column from the original resource.0.0891251541485819
d_36230doubleSource column from the original resource.0.0250159154526962
d_1448278doubleSource column from the original resource.1.0
source_providerstringPublishing organization.MJ
source_datasetstringSource dataset or package title.Activité générale des tribunaux de première instance en 2021
source_resourcestringSource resource title, table name, or file name.النشاط العام للمحاكم الابتدائية قسم مدني-قسم زجري.xlsx
source_package_idstringSource package identifier.50b0873b-a978-4ed0-8359-9001517aa0c8
source_resource_idstringSource resource identifier.02113c9a-2c61-465e-b0ae-4155fba6686e
source_urlstringOriginal source URL or download URL.https://data.gov.ma/data/fr/dataset/50b0873b-a978-4ed0-8359-9001517aa...
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-en-20-5b174026")
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_en_20_5b1740_2026,
  title        = {Activite Generale Des Tribunaux De Premiere Instance En 20 | Africa (Morocco Open Data)},
  author       = {MJ},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/l-activite-generale-des-tribunaux-de-premiere-instance-en-2021},
  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-en-20-5b174026}}
}

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/l-activite-generale-des-tribunaux-de-premiere-instance-en-2021