electricsheepafrica/africa-morocco-activite-detaillee-des-cours-d-appel-69756643

Activite Detaillee Des Cours D Appel | Africa (Morocco Open Data)

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

TL;DR

This dataset contains 12 rows from Morocco Open Data, covering Activite Detaillee Des Cours D Appel. 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 Cours d'appel (section civile et 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

Dimension	Value
Rows	12
Countries/areas	1
First period	n/a
Last period	n/a
Indicators	0
Columns	27
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MAR	12	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.	b97657a6-a9ee-400f-9b3f-bf85ec0dcf9f: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.	استئناف
column_1	double	Source column from the original resource.	``
column	string	Source column from the original resource.	النسبة من المسجل
d_7176	double	Source column from the original resource.	0.0620390943122184
d_21437	double	Source column from the original resource.	0.1853305552913918
d_4307	string	Source column from the original resource.	0.03723556008956592
d_3767	double	Source column from the original resource.	0.032567066370419
d_4471	string	Source column from the original resource.	0.0386533989227883
d_3184	double	Source column from the original resource.	0.0275268222254882
d_2458	double	Source column from the original resource.	0.0212502917808574
d_17978	double	Source column from the original resource.	0.1554262594126343
d_26782	double	Source column from the original resource.	0.2315399977522067
d_645	double	Source column from the original resource.	0.0055762563867587
d_15151	double	Source column from the original resource.	0.1309858302570265
d_8313	double	Source column from the original resource.	0.0718688671986444
d_115669	double	Source column from the original resource.	1.0
source_provider	string	Publishing organization.	MJ
source_dataset	string	Source dataset or package title.	Activité détaillée des Cours d'appel
source_resource	string	Source resource title, table name, or file name.	النشاط العام لمحاكم الاستئناف مدني-زجري سنة 2024.xlsx
source_package_id	string	Source package identifier.	733fb4a9-af59-45ae-8a8e-c9370645fb07
source_resource_id	string	Source resource identifier.	b97657a6-a9ee-400f-9b3f-bf85ec0dcf9f
source_url	string	Original source URL or download URL.	https://data.gov.ma/data/ar/dataset/733fb4a9-af59-45ae-8a8e-c9370645f...
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-cours-d-appel-69756643")
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

• Source: Morocco Open Data
• Publisher: MJ
• Portal: https://data.gov.ma/data
• Resource: النشاط العام لمحاكم الاستئناف مدني-زجري سنة 2024.xlsx
• License: Open Data Commons Open Database License
• Retrieved/generated: 2026-07-16T21:33:10Z
• Hugging Face repo: electricsheepafrica/africa-morocco-activite-detaillee-des-cours-d-appel-69756643

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_cours_d_appel_69756643_2026,
  title        = {Activite Detaillee Des Cours D Appel | Africa (Morocco Open Data)},
  author       = {MJ},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/activite-detaillee-des-cours-d-appel-en-2023},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-activite-detaillee-des-cours-d-appel-69756643}}
}

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.

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Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.gov.ma/data/dataset/activite-detaillee-des-cours-d-appel-en-2023