electricsheepafrica/africa-morocco-activite-des-tribunaux-de-premiere-instance-et-leurs-centr-ce98b967

Activite Des Tribunaux De Premiere Instance Et Leurs Centr | Africa (Morocco Open Data)

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

TL;DR

This dataset contains 154 rows from Morocco Open Data, covering Activite Des Tribunaux De Premiere Instance Et Leurs Centr. 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 tribunaux de première instance et leurs centres de juges résidents

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	154
Countries/areas	1
First period	n/a
Last period	n/a
Indicators	0
Columns	28
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MAR	154	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.	8663db19-d321-4203-839c-e3ae1f80e794:2023:0
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.	الابتدائيات+ المراكز 2023
column	string	Source column from the original resource.	المحكمة الابتدائية ببرشيد
d_990	int64	Source column from the original resource.	2308
d_526	int64	Source column from the original resource.	2956
d_1516	int64	Source column from the original resource.	5264
d_19622	int64	Source column from the original resource.	20732
d_36385	int64	Source column from the original resource.	33530
d_56007	int64	Source column from the original resource.	54262
d_20612	int64	Source column from the original resource.	23040
d_36911	int64	Source column from the original resource.	36486
d_57523	int64	Source column from the original resource.	59526
d_19348	int64	Source column from the original resource.	20953
d_36384	int64	Source column from the original resource.	34577
d_55732	int64	Source column from the original resource.	55530
d_1264	int64	Source column from the original resource.	2087
d_527	int64	Source column from the original resource.	1909
d_1791	int64	Source column from the original resource.	3996
source_provider	string	Publishing organization.	MJ
source_dataset	string	Source dataset or package title.	Activité des tribunaux de première instance et leurs centres de juges...
source_resource	string	Source resource title, table name, or file name.	النشاط العام للمحاكم الابتدائية والمراكز التابعة لها سنة 2023.xlsx
source_package_id	string	Source package identifier.	9c15d2e3-db0d-44c9-b2aa-53e46d4bfb53
source_resource_id	string	Source resource identifier.	8663db19-d321-4203-839c-e3ae1f80e794
source_url	string	Original source URL or download URL.	https://data.gov.ma/data/ar/dataset/9c15d2e3-db0d-44c9-b2aa-53e46d4bf...
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-des-tribunaux-de-premiere-instance-et-leurs-centr-ce98b967")
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 للمحاكم الابتدائية والمراكز التابعة لها سنة 2023.xlsx
• License: Open Data Commons Open Database License
• Retrieved/generated: 2026-07-16T21:33:31Z
• Hugging Face repo: electricsheepafrica/africa-morocco-activite-des-tribunaux-de-premiere-instance-et-leurs-centr-ce98b967

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_des_tribunaux_de_premiere_instance_et_leurs_centr_ce98b9_2026,
  title        = {Activite Des Tribunaux De Premiere Instance Et Leurs Centr | Africa (Morocco Open Data)},
  author       = {MJ},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/activite-des-tribunaux-de-premiere-instance-et-leurs-centres-de-juges-residents-en-2023},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-activite-des-tribunaux-de-premiere-instance-et-leurs-centr-ce98b967}}
}

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-des-tribunaux-de-premiere-instance-et-leurs-centres-de-juges-residents-en-2023