---
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](https://huggingface.co/electricsheepafrica)*

![rows](https://img.shields.io/badge/rows-88-blue)
![countries](https://img.shields.io/badge/countries-1-green)
![period](https://img.shields.io/badge/period-1946--1990-orange)
![indicators](https://img.shields.io/badge/indicators-1-purple)
![license](https://img.shields.io/badge/license-odbl-lightgrey)

## 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

```python
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

```python
print(df.info())
print(df.head())
```

### Filter By Geography

```python
if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "MAR"]
```

### Time-Series Pattern

```python
if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")
```

### Pivot For Analysis

```python
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](https://data.gov.ma/data/dataset/activite-detaillee-des-cours-d-appel-en-2022)
- **Publisher:** MJ
- **Portal:** [https://data.gov.ma/data](https://data.gov.ma/data)
- **Resource:** [النشاط المفصل لمحاكم الاستئناف.xlsx](https://data.gov.ma/data/ar/dataset/a71932ce-435a-490a-b3e2-ccaaff028118/resource/f38c1707-26cb-451f-aa2d-163a5ecf4574/download/-.xlsx)
- **License:** [Open Data Commons Open Database License](https://opendatacommons.org/licenses/odbl/)
- **Retrieved/generated:** `2026-07-16T22:10:19Z`
- **Hugging Face repo:** [electricsheepafrica/africa-morocco-activite-detaillee-des-cours-d-appel-en-2022-b656113c](https://huggingface.co/datasets/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

```bibtex
@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](https://opendatacommons.org/licenses/odbl/).

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