electricsheepafrica/africa-morocco-activite-detaillee-des-cours-d-appel-9150ef0f

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

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

TL;DR

This dataset contains 4 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	4
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	4	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.	fbc329b4-f597-473d-a3da-a49a81a90562: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_2511	double	Source column from the original resource.	0.0084397971222006
d_13310	double	Source column from the original resource.	0.0447366386684547
d_2515	double	Source column from the original resource.	0.0084532416417102
d_2356	double	Source column from the original resource.	0.0079188219912005
d_18224	double	Source column from the original resource.	0.0612532308860946
d_20695	double	Source column from the original resource.	0.0695585828131984
d_180	double	Source column from the original resource.	0.0006050033779355
d_233	double	Source column from the original resource.	0.0007831432614387
d_155672	double	Source column from the original resource.	0.5232338102776629
d_3694	double	Source column from the original resource.	0.0124160137671879
d_56353	double	Source column from the original resource.	0.1894097519822263
d_21776	double	Source column from the original resource.	0.073191964210689
d_297519	int64	Source column from the original resource.	1
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 2023.xlsx
source_package_id	string	Source package identifier.	733fb4a9-af59-45ae-8a8e-c9370645fb07
source_resource_id	string	Source resource identifier.	fbc329b4-f597-473d-a3da-a49a81a90562
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-9150ef0f")
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 2023.xlsx
• License: Open Data Commons Open Database License
• Retrieved/generated: 2026-07-16T21:33:11Z
• Hugging Face repo: electricsheepafrica/africa-morocco-activite-detaillee-des-cours-d-appel-9150ef0f

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_9150ef0f_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-9150ef0f}}
}

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