electricsheepafrica/africa-morocco-activite-detaillee-des-cours-d-appel-en-2022-b656113c

Activite Detaillee Des Cours D Appel En 2022 | Africa (Morocco Open Data)

88 rows - 1 Africa country/area - 1946-1990 - 1 indicator - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 88 rows from Morocco Open Data, covering Activite Detaillee Des Cours D Appel En 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

How To Read This Dataset

• One row means: one indicator observation for one geography, time period, and optional source dimensions.
• Primary geography column: country_iso3.
• Best time column: year.
• Time coverage basis: year.
• Recommended join keys: country_iso3, year, indicator_id.

Coverage

Dimension	Value
Rows	88
Countries/areas	1
First period	1946
Last period	1990
Indicators	1
Columns	147
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
<NA>	88	1946	1990	Morocco

Indicators, Variables, Or Resource Contents

• source-indicator - Activite Detaillee Des Cours D Appel En 2022(source_units_unspecified)

Schema

Column	Type	Description	Example
indicator_id	string	Stable source or Electric Sheep Africa indicator identifier.	``
indicator_name	string	Human-readable indicator name.	``
country_iso3	string	ISO3 country or area code.	``
source_sheet	string	Source column from the original resource.	الاستئناف بتفصيل2022
country_name	string	Country or area name.	``
year	int64	Observation year.	1952
value	double	Numeric observation value.	316.0
unit	string	Measurement unit, when supplied by the source.	source_units_unspecified
dimension_column	string	Source dimension retained during long-form normalization.	محكمة الاستئناف بالرباط
dimension_d_349	string	Source dimension retained during long-form normalization.	302
dimension_d_2125	string	Source dimension retained during long-form normalization.	3147
dimension_d_342	string	Source dimension retained during long-form normalization.	314
dimension_d_373	string	Source dimension retained during long-form normalization.	1136
dimension_d_429	string	Source dimension retained during long-form normalization.	278
dimension_d_3	string	Source dimension retained during long-form normalization.	55
dimension_d_980	string	Source dimension retained during long-form normalization.	2441
dimension_d_1448	string	Source dimension retained during long-form normalization.	882
dimension_d_64	string	Source dimension retained during long-form normalization.	2
dimension_d_838	string	Source dimension retained during long-form normalization.	2682
dimension_d_0	string	Source dimension retained during long-form normalization.	0
dimension_d_6951	string	Source dimension retained during long-form normalization.	11239
dimension_column_2	string	Source dimension retained during long-form normalization.	محكمة الاستئناف بالرباط
dimension_d_2220	string	Source dimension retained during long-form normalization.	972
dimension_d_7536	string	Source dimension retained during long-form normalization.	2227
dimension_d_500	string	Source dimension retained during long-form normalization.	181
dimension_d_567	string	Source dimension retained during long-form normalization.	743
dimension_d_2050	string	Source dimension retained during long-form normalization.	259
dimension_d_145	string	Source dimension retained during long-form normalization.	193
dimension_d_2596	string	Source dimension retained during long-form normalization.	1405
dimension_d_9873	string	Source dimension retained during long-form normalization.	1543
dimension_d_198	string	Source dimension retained during long-form normalization.	0
dimension_d_2884	string	Source dimension retained during long-form normalization.	1782
dimension_d_0_2	string	Source dimension retained during long-form normalization.	0
dimension_d_28569	string	Source dimension retained during long-form normalization.	9305
dimension_column_3	string	Source dimension retained during long-form normalization.	محكمة الاستئناف بالرباط
dimension_d_2569	string	Source dimension retained during long-form normalization.	1274
dimension_d_9661	string	Source dimension retained during long-form normalization.	5374
dimension_d_842	string	Source dimension retained during long-form normalization.	495
dimension_d_940	string	Source dimension retained during long-form normalization.	1879
dimension_d_2479	string	Source dimension retained during long-form normalization.	537
dimension_d_148	string	Source dimension retained during long-form normalization.	248
dimension_d_3576	string	Source dimension retained during long-form normalization.	3846
dimension_d_11321	string	Source dimension retained during long-form normalization.	2425
dimension_d_262	string	Source dimension retained during long-form normalization.	2
dimension_d_3722	string	Source dimension retained during long-form normalization.	4464
dimension_d_0_3	string	Source dimension retained during long-form normalization.	0
dimension_d_35520	string	Source dimension retained during long-form normalization.	20544
dimension_column_4	string	Source dimension retained during long-form normalization.	محكمة الاستئناف بالرباط
dimension_d_2410	string	Source dimension retained during long-form normalization.	996
dimension_d_6997	string	Source dimension retained during long-form normalization.	3081
dimension_d_494	string	Source dimension retained during long-form normalization.	297
dimension_d_460	string	Source dimension retained during long-form normalization.	1154
dimension_d_145_2	string	Source dimension retained during long-form normalization.	243
dimension_d_2743	string	Source dimension retained during long-form normalization.	2344
dimension_d_7925	string	Source dimension retained during long-form normalization.	1805
dimension_d_193	string	Source dimension retained during long-form normalization.	1
dimension_d_2666	string	Source dimension retained during long-form normalization.	2880
dimension_d_0_4	string	Source dimension retained during long-form normalization.	0
dimension_d_25985	string	Source dimension retained during long-form normalization.	13117
dimension_column_5	string	Source dimension retained during long-form normalization.	محكمة الاستئناف بالرباط
dimension_d_159	string	Source dimension retained during long-form normalization.	278
dimension_d_2664	string	Source dimension retained during long-form normalization.	2293
dimension_d_348	string	Source dimension retained during long-form normalization.	198
dimension_d_480	string	Source dimension retained during long-form normalization.	725
dimension_d_527	string	Source dimension retained during long-form normalization.	221
dimension_d_3_2	string	Source dimension retained during long-form normalization.	5
dimension_d_833	string	Source dimension retained during long-form normalization.	1502
dimension_d_3396	string	Source dimension retained during long-form normalization.	620
dimension_d_69	string	Source dimension retained during long-form normalization.	1
dimension_d_1056	string	Source dimension retained during long-form normalization.	1584
dimension_d_0_5	string	Source dimension retained during long-form normalization.	0
dimension_d_9535	string	Source dimension retained during long-form normalization.	7427
dimension_column_6	string	Source dimension retained during long-form normalization.	محكمة الاستئناف بالرباط
dimension_d_77	string	Source dimension retained during long-form normalization.	277
dimension_d_134	string	Source dimension retained during long-form normalization.	1916
dimension_d_82	string	Source dimension retained during long-form normalization.	177
dimension_d_129	string	Source dimension retained during long-form normalization.	48
dimension_d_956	string	Source dimension retained during long-form normalization.	1850
dimension_d_99	string	Source dimension retained during long-form normalization.	1020
dimension_d_16	string	Source dimension retained during long-form normalization.	73
dimension_d_23	string	Source dimension retained during long-form normalization.	``
dimension_d_1739	string	Source dimension retained during long-form normalization.	``
dimension_d_30	string	Source dimension retained during long-form normalization.	``
dimension_d_88	string	Source dimension retained during long-form normalization.	``
dimension_d_100	string	Source dimension retained during long-form normalization.	``
dimension_d_3473	string	Source dimension retained during long-form normalization.	``
dimension_column_7	string	Source dimension retained during long-form normalization.	``
dimension_d_460_2	string	Source dimension retained during long-form normalization.	``
dimension_d_410	string	Source dimension retained during long-form normalization.	``
dimension_d_237	string	Source dimension retained during long-form normalization.	``
dimension_d_3766	string	Source dimension retained during long-form normalization.	``
dimension_d_2467	string	Source dimension retained during long-form normalization.	``
dimension_d_30_2	string	Source dimension retained during long-form normalization.	``
dimension_d_39	string	Source dimension retained during long-form normalization.	``
dimension_d_14901	string	Source dimension retained during long-form normalization.	``
dimension_d_451	string	Source dimension retained during long-form normalization.	``
dimension_d_574	string	Source dimension retained during long-form normalization.	``
dimension_d_2787	string	Source dimension retained during long-form normalization.	``
dimension_d_28068	string	Source dimension retained during long-form normalization.	``
dimension_column_8	string	Source dimension retained during long-form normalization.	``
dimension_d_537	string	Source dimension retained during long-form normalization.	``
dimension_d_2080	string	Source dimension retained during long-form normalization.	``
dimension_d_492	string	Source dimension retained during long-form normalization.	``
dimension_d_366	string	Source dimension retained during long-form normalization.	``
dimension_d_4722	string	Source dimension retained during long-form normalization.	``
dimension_d_2566	string	Source dimension retained during long-form normalization.	``
dimension_d_46	string	Source dimension retained during long-form normalization.	``
dimension_d_62	string	Source dimension retained during long-form normalization.	``
dimension_d_16640	string	Source dimension retained during long-form normalization.	``
dimension_d_481	string	Source dimension retained during long-form normalization.	``
dimension_d_662	string	Source dimension retained during long-form normalization.	``
dimension_d_2887	string	Source dimension retained during long-form normalization.	``
dimension_d_31541	string	Source dimension retained during long-form normalization.	``
dimension_column_9	string	Source dimension retained during long-form normalization.	``
dimension_d_457	string	Source dimension retained during long-form normalization.	``
dimension_d_253	string	Source dimension retained during long-form normalization.	``
dimension_d_284	string	Source dimension retained during long-form normalization.	``
dimension_d_2732	string	Source dimension retained during long-form normalization.	``
dimension_d_2094	string	Source dimension retained during long-form normalization.	``
dimension_d_22	string	Source dimension retained during long-form normalization.	``
dimension_d_28	string	Source dimension retained during long-form normalization.	``
dimension_d_14265	string	Source dimension retained during long-form normalization.	``
dimension_d_424	string	Source dimension retained during long-form normalization.	``
dimension_d_610	string	Source dimension retained during long-form normalization.	``
dimension_d_2738	string	Source dimension retained during long-form normalization.	``
dimension_d_25862	string	Source dimension retained during long-form normalization.	``
dimension_column_10	string	Source dimension retained during long-form normalization.	``
dimension_d_80	string	Source dimension retained during long-form normalization.	``
dimension_d_125	string	Source dimension retained during long-form normalization.	``
dimension_d_239	string	Source dimension retained during long-form normalization.	``
dimension_d_82_2	string	Source dimension retained during long-form normalization.	``
dimension_d_472	string	Source dimension retained during long-form normalization.	``
dimension_d_24	string	Source dimension retained during long-form normalization.	``
dimension_d_34	string	Source dimension retained during long-form normalization.	``
dimension_d_2375	string	Source dimension retained during long-form normalization.	``
dimension_d_57	string	Source dimension retained during long-form normalization.	``
dimension_d_52	string	Source dimension retained during long-form normalization.	``
dimension_d_149	string	Source dimension retained during long-form normalization.	``
dimension_d_5679	string	Source dimension retained during long-form normalization.	``
source_provider	string	Publishing organization.	``
source_dataset	string	Source dataset or package title.	``
source_resource	string	Source resource title, table name, or file name.	``
source_package_id	string	Source package identifier.	``
source_resource_id	string	Source resource identifier.	``
source_url	string	Original source URL or download URL.	``
license_id	string	Source license identifier.	``
retrieved_at	string	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-morocco-activite-detaillee-des-cours-d-appel-en-2022-b656113c")
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

• Canonical time field: year.
• 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 المفصل لمحاكم الاستئناف.xlsx
• License: Open Data Commons Open Database License
• Retrieved/generated: 2026-07-16T22:10:19Z
• Hugging Face repo: electricsheepafrica/africa-morocco-activite-detaillee-des-cours-d-appel-en-2022-b656113c

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
• Build time-series views and period-over-period comparisons
• Pivot to geography x period or indicator x period matrices
• 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_en_2022_b656113c_1990,
  title        = {Activite Detaillee Des Cours D Appel En 2022 | Africa (Morocco Open Data)},
  author       = {MJ},
  year         = {1990},
  url          = {https://data.gov.ma/data/dataset/activite-detaillee-des-cours-d-appel-en-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-en-2022-b656113c}}
}

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-2022