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electricsheepafrica/africa-morocco-activite-generale-des-tribunaux-de-premiere-instance-2022-552ef02a

Activite Generale Des Tribunaux De Premiere Instance 2022 | 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 2022. 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-2022-552ef02a.

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Dataset Card

Activite Generale Des Tribunaux De Premiere Instance 2022 | 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 2022. 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 2022, 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
Columns34
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.8a40efcb-f602-4670-b3b9-81dfd36aea44: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_79609doubleSource column from the original resource.0.0534475118833418
d_186402doubleSource column from the original resource.0.1251456884281762
d_32805doubleSource column from the original resource.0.0220244649139296
d_112549doubleSource column from the original resource.0.0755626124553535
d_36718doubleSource column from the original resource.0.024651556247818
d_16949doubleSource column from the original resource.0.0113791390283857
d_15530doubleSource column from the original resource.0.010426457555657
d_17888doubleSource column from the original resource.0.0120095603834895
d_8845doubleSource column from the original resource.0.0059383140424846
d_23822doubleSource column from the original resource.0.0159935010876278
d_60905doubleSource column from the original resource.0.0408901092998898
d_51058doubleSource column from the original resource.0.0342790772618632
d_63963doubleSource column from the original resource.0.0429431747992588
d_153526doubleSource column from the original resource.0.1030735558718479
d_33031doubleSource column from the original resource.0.0221761957193114
d_45877doubleSource column from the original resource.0.0308006821172489
d_112192doubleSource column from the original resource.0.0753229314928699
d_274407doubleSource column from the original resource.0.1842300668689744
d_134776doubleSource column from the original resource.0.0904852700271235
d_28628doubleSource column from the original resource.0.0192201305153476
d_1489480doubleSource column from the original resource.1.0
source_providerstringPublishing organization.MJ
source_datasetstringSource dataset or package title.Activité générale des tribunaux de première instance 2022
source_resourcestringSource resource title, table name, or file name.النشاط العام للمحاكم الابتدائية قسم مدني-قسم زجري.xlsx
source_package_idstringSource package identifier.669d754b-be6e-46c2-880c-108889bd92a5
source_resource_idstringSource resource identifier.8a40efcb-f602-4670-b3b9-81dfd36aea44
source_urlstringOriginal source URL or download URL.https://data.gov.ma/data/fr/dataset/669d754b-be6e-46c2-880c-108889bd9...
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-2022-552ef02a")
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_2022_552ef02_2026,
  title        = {Activite Generale Des Tribunaux De Premiere Instance 2022 | Africa (Morocco Open Data)},
  author       = {MJ},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/activite-generale-des-tribunaux-de-premiere-instance-2022},
  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-2022-552ef02a}}
}

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-2022