--- license: odbl language: - en task_categories: - tabular-classification - tabular-regression multilinguality: multilingual size_categories: - n<1K tags: - "tabular" - "africa" - "open-data" - "official-statistics" - "morocco" - "mj" - "morocco-open-data" - "justice" - "activite" - "appel" - "juridictions" configs: - config_name: default data_files: - split: train path: data/train-00000-of-00001.parquet pretty_name: "Activite Detaillee Des Cours D Appel 2021 | Africa (Morocco Open Data)" --- # Activite Detaillee Des Cours D Appel 2021 | Africa (Morocco Open Data) **22 rows** - **1 Africa country/area** - **time not specified** - **source table** - *Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)* ![rows](https://img.shields.io/badge/rows-22-blue) ![countries](https://img.shields.io/badge/countries-1-green) ![period](https://img.shields.io/badge/period-time%20not%20specified-orange) ![indicators](https://img.shields.io/badge/indicators-0-purple) ![license](https://img.shields.io/badge/license-odbl-lightgrey) ## TL;DR This dataset contains **22 rows** from **Morocco Open Data**, covering **Activite Detaillee Des Cours D Appel 2021**. 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 au titre de l’année 2021 ## 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 | 22 | | Countries/areas | 1 | | First period | n/a | | Last period | n/a | | Indicators | 0 | | Columns | 93 | | Source format | XLSX | ## Geographic Coverage Top areas shown below, sorted by row count when available: | Area | Rows | First year | Last year | Name | |------|-----:|-----------:|----------:|------| | `MAR` | 22 | 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. | `127e6045-a98b-481e-ab21-cf0a4c4968ca:2021:0` | | `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. | `الاستئناف بتفصيل2021` | | `column` | `string` | Source column from the original resource. | `محكمة الاستئناف بالرباط` | | `d_2254` | `int64` | Source column from the original resource. | `1221` | | `d_8323` | `int64` | Source column from the original resource. | `2460` | | `d_602` | `int64` | Source column from the original resource. | `185` | | `d_566` | `int64` | Source column from the original resource. | `763` | | `d_2702` | `int64` | Source column from the original resource. | `154` | | `d_105` | `int64` | Source column from the original resource. | `161` | | `d_3148` | `int64` | Source column from the original resource. | `1904` | | `d_8116` | `int64` | Source column from the original resource. | `1673` | | `d_225` | `int64` | Source column from the original resource. | `0` | | `d_3085` | `int64` | Source column from the original resource. | `1904` | | `d_0` | `int64` | Source column from the original resource. | `0` | | `d_29126` | `int64` | Source column from the original resource. | `10425` | | `column_2` | `string` | Source column from the original resource. | `محكمة الاستئناف بالرباط` | | `d_2111` | `int64` | Source column from the original resource. | `1283` | | `d_8788` | `int64` | Source column from the original resource. | `2358` | | `d_886` | `int64` | Source column from the original resource. | `85` | | `d_727` | `int64` | Source column from the original resource. | `298` | | `d_2874` | `int64` | Source column from the original resource. | `55` | | `d_104` | `int64` | Source column from the original resource. | `124` | | `d_2632` | `int64` | Source column from the original resource. | `1182` | | `d_8836` | `int64` | Source column from the original resource. | `1637` | | `d_217` | `int64` | Source column from the original resource. | `0` | | `d_3442` | `int64` | Source column from the original resource. | `2189` | | `d_0_2` | `int64` | Source column from the original resource. | `0` | | `d_30617` | `int64` | Source column from the original resource. | `9211` | | `column_3` | `string` | Source column from the original resource. | `محكمة الاستئناف بالرباط` | | `d_378` | `int64` | Source column from the original resource. | `337` | | `d_834` | `int64` | Source column from the original resource. | `3318` | | `d_7` | `int64` | Source column from the original resource. | `311` | | `d_119` | `int64` | Source column from the original resource. | `1150` | | `d_330` | `int64` | Source column from the original resource. | `283` | | `d_1` | `int64` | Source column from the original resource. | `51` | | `d_999` | `int64` | Source column from the original resource. | `2400` | | `d_25` | `int64` | Source column from the original resource. | `921` | | `d_23` | `int64` | Source column from the original resource. | `0` | | `d_169` | `int64` | Source column from the original resource. | `2675` | | `d_0_3` | `int64` | Source column from the original resource. | `0` | | `d_2885` | `int64` | Source column from the original resource. | `11446` | | `column_4` | `string` | Source column from the original resource. | `محكمة الاستئناف بالرباط` | | `d_358` | `int64` | Source column from the original resource. | `285` | | `d_1798` | `int64` | Source column from the original resource. | `1817` | | `d_340` | `int64` | Source column from the original resource. | `197` | | `d_221` | `int64` | Source column from the original resource. | `79` | | `d_2627` | `int64` | Source column from the original resource. | `1795` | | `d_1898` | `int64` | Source column from the original resource. | `1438` | | `d_37` | `int64` | Source column from the original resource. | `34` | | `d_40` | `int64` | Source column from the original resource. | `16` | | `d_14696` | `int64` | Source column from the original resource. | `7578` | | `d_331` | `int64` | Source column from the original resource. | `235` | | `d_603` | `int64` | Source column from the original resource. | `1016` | | `d_2310` | `int64` | Source column from the original resource. | `2401` | | `d_25259` | `int64` | Source column from the original resource. | `16891` | | `column_5` | `string` | Source column from the original resource. | `محكمة الاستئناف بالرباط` | | `d_325` | `int64` | Source column from the original resource. | `297` | | `d_2331` | `int64` | Source column from the original resource. | `1979` | | `d_321` | `int64` | Source column from the original resource. | `173` | | `d_93` | `int64` | Source column from the original resource. | `84` | | `d_2601` | `int64` | Source column from the original resource. | `1335` | | `1975` | `int64` | Source column from the original resource. | `1292` | | `d_35` | `int64` | Source column from the original resource. | `24` | | `d_31` | `int64` | Source column from the original resource. | `31` | | `d_14250` | `int64` | Source column from the original resource. | `6392` | | `d_336` | `int64` | Source column from the original resource. | `173` | | `d_561` | `int64` | Source column from the original resource. | `863` | | `d_2287` | `int64` | Source column from the original resource. | `2432` | | `d_25146` | `int64` | Source column from the original resource. | `15075` | | `column_6` | `string` | Source column from the original resource. | `محكمة الاستئناف بالرباط` | | `d_77` | `int64` | Source column from the original resource. | `288` | | `d_134` | `int64` | Source column from the original resource. | `1289` | | `d_82` | `int64` | Source column from the original resource. | `149` | | `d_129` | `int64` | Source column from the original resource. | `39` | | `d_956` | `int64` | Source column from the original resource. | `1687` | | `d_99` | `int64` | Source column from the original resource. | `956` | | `d_16` | `int64` | Source column from the original resource. | `63` | | `d_23_2` | `int64` | Source column from the original resource. | `28` | | `d_1739` | `int64` | Source column from the original resource. | `` | | `d_30` | `int64` | Source column from the original resource. | `` | | `d_88` | `int64` | Source column from the original resource. | `` | | `d_100` | `int64` | Source column from the original resource. | `` | | `d_3473` | `int64` | Source column from the original resource. | `` | | `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-2021-63ccc93e") 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 - 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](https://data.gov.ma/data/dataset/activite-detaillee-des-cours-d-appel-2021) - **Publisher:** MJ - **Portal:** [https://data.gov.ma/data](https://data.gov.ma/data) - **Resource:** [النشاط المفصل لمحاكم الاستئناف.xlsx](https://data.gov.ma/data/fr/dataset/47979de4-3ac5-42b8-9148-65d800cc53de/resource/127e6045-a98b-481e-ab21-cf0a4c4968ca/download/-.xlsx) - **License:** [Open Data Commons Open Database License](https://opendatacommons.org/licenses/odbl/) - **Retrieved/generated:** `2026-07-16T22:12:46Z` - **Hugging Face repo:** [electricsheepafrica/africa-morocco-activite-detaillee-des-cours-d-appel-2021-63ccc93e](https://huggingface.co/datasets/electricsheepafrica/africa-morocco-activite-detaillee-des-cours-d-appel-2021-63ccc93e) ## 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 ```bibtex @misc{electric_sheep_africa_africa_morocco_activite_detaillee_des_cours_d_appel_2021_63ccc93e_2026, title = {Activite Detaillee Des Cours D Appel 2021 | Africa (Morocco Open Data)}, author = {MJ}, year = {2026}, url = {https://data.gov.ma/data/dataset/activite-detaillee-des-cours-d-appel-2021}, publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa}, howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-activite-detaillee-des-cours-d-appel-2021-63ccc93e}} } ``` ## 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-2021