electricsheepafrica/africa-morocco-activite-detaillee-des-cours-d-appel-2022-f212b3ff

Activite Detaillee Des Cours D Appel 2022 | 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 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 détaillée des Cours d'appel en 2022 (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.	44c33673-67bc-4161-ab7d-df894ca1c91a: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_3041	double	Source column from the original resource.	0.016976971388695
d_11670	double	Source column from the original resource.	0.0651500348918353
d_2777	double	Source column from the original resource.	0.0155031402651779
d_1640	double	Source column from the original resource.	0.0091556175854849
d_19944	double	Source column from the original resource.	0.111341242149337
d_17414	double	Source column from the original resource.	0.0972170272156315
d_156	double	Source column from the original resource.	0.000870900209351
d_188	double	Source column from the original resource.	0.0010495464061409
d_93379	double	Source column from the original resource.	0.5213063503140265
d_2871	double	Source column from the original resource.	0.0160279134682484
d_8477	double	Source column from the original resource.	0.047324494068388
d_17568	double	Source column from the original resource.	0.0980767620376831
d_179125	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 2022
source_resource	string	Source resource title, table name, or file name.	النشاط العام لمحاكم الاستئناف مدني-زجري.xlsx
source_package_id	string	Source package identifier.	c6b449da-8124-4e4d-bb54-83b193aae630
source_resource_id	string	Source resource identifier.	44c33673-67bc-4161-ab7d-df894ca1c91a
source_url	string	Original source URL or download URL.	https://data.gov.ma/data/fr/dataset/c6b449da-8124-4e4d-bb54-83b193aae...
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-2022-f212b3ff")
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.xlsx
• License: Open Data Commons Open Database License
• Retrieved/generated: 2026-07-16T22:10:16Z
• Hugging Face repo: electricsheepafrica/africa-morocco-activite-detaillee-des-cours-d-appel-2022-f212b3ff

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_2022_f212b3ff_2026,
  title        = {Activite Detaillee Des Cours D Appel 2022 | Africa (Morocco Open Data)},
  author       = {MJ},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/activite-detaillee-des-cours-d-appel-2022},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-activite-detaillee-des-cours-d-appel-2022-f212b3ff}}
}

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-2022