metadata
license: odbl
language:
- en
task_categories:
- tabular-regression
- time-series-forecasting
multilinguality: multilingual
size_categories:
- n<1K
tags:
- tabular
- africa
- open-data
- official-statistics
- morocco
- mj
- morocco-open-data
- justice
- cours-appel
- tribunaux
configs:
- config_name: default
data_files:
- split: train
path: data/train-00000-of-00001.parquet
pretty_name: Activite Detaillee Des Cours D Appel En 2022 | Africa (Morocco Open Data)
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_iso3as 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.
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