--- 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" - "cour-appel" - "activite" configs: - config_name: default data_files: - split: train path: data/train-00000-of-00001.parquet pretty_name: "Activite Detaillee Des Cours D Appel | Africa (Morocco Open Data)" --- # Activite Detaillee Des Cours D Appel | Africa (Morocco Open Data) **44 rows** - **1 Africa country/area** - **1938-1955** - **1 indicator** - *Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)* ![rows](https://img.shields.io/badge/rows-44-blue) ![countries](https://img.shields.io/badge/countries-1-green) ![period](https://img.shields.io/badge/period-1938--1955-orange) ![indicators](https://img.shields.io/badge/indicators-1-purple) ![license](https://img.shields.io/badge/license-odbl-lightgrey) ## TL;DR This dataset contains **44 rows** from **Morocco Open Data**, covering **Activite Detaillee Des Cours D Appel**. 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 ## 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 | 44 | | Countries/areas | 1 | | First period | 1938 | | Last period | 1955 | | Indicators | 1 | | Columns | 154 | | Source format | XLSX | ## Geographic Coverage Top areas shown below, sorted by row count when available: | Area | Rows | First year | Last year | Name | |------|-----:|-----------:|----------:|------| | `` | 44 | 1938 | 1955 | `Morocco` | ## Indicators, Variables, Or Resource Contents - `source-indicator` - Activite Detaillee Des Cours D Appel(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 بتفصيل2024` | | `country_name` | `string` | Country or area name. | `` | | `year` | `int64` | Observation year. | `1938` | | `value` | `double` | Numeric observation value. | `1720.0` | | `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_366` | `string` | Source dimension retained during long-form normalization. | `359` | | `dimension_d_31` | `string` | Source dimension retained during long-form normalization. | `210` | | `dimension_d_298` | `string` | Source dimension retained during long-form normalization. | `530` | | `dimension_d_94` | `string` | Source dimension retained during long-form normalization. | `311` | | `dimension_d_106` | `string` | Source dimension retained during long-form normalization. | `218` | | `dimension_d_14` | `string` | Source dimension retained during long-form normalization. | `31` | | `dimension_d_898` | `string` | Source dimension retained during long-form normalization. | `1386` | | `dimension_d_2854` | `string` | Source dimension retained during long-form normalization. | `444` | | `dimension_d_87` | `string` | Source dimension retained during long-form normalization. | `1` | | `dimension_d_542` | `string` | Source dimension retained during long-form normalization. | `912` | | `dimension_d_613` | `string` | Source dimension retained during long-form normalization. | `653` | | `dimension_d_7841` | `string` | Source dimension retained during long-form normalization. | `6775` | | `dimension_column_2` | `string` | Source dimension retained during long-form normalization. | `محكمة الاستئناف بالرباط` | | `dimension_d_3274` | `string` | Source dimension retained during long-form normalization. | `877` | | `dimension_d_6547` | `string` | Source dimension retained during long-form normalization. | `2284` | | `dimension_d_46` | `string` | Source dimension retained during long-form normalization. | `237` | | `dimension_d_659` | `string` | Source dimension retained during long-form normalization. | `577` | | `dimension_d_119` | `string` | Source dimension retained during long-form normalization. | `149` | | `dimension_d_694` | `string` | Source dimension retained during long-form normalization. | `162` | | `dimension_d_147` | `string` | Source dimension retained during long-form normalization. | `310` | | `dimension_d_2696` | `string` | Source dimension retained during long-form normalization. | `1645` | | `dimension_d_15180` | `string` | Source dimension retained during long-form normalization. | `2130` | | `dimension_d_246` | `string` | Source dimension retained during long-form normalization. | `43` | | `dimension_d_1710` | `string` | Source dimension retained during long-form normalization. | `1247` | | `dimension_d_2579` | `string` | Source dimension retained during long-form normalization. | `879` | | `dimension_d_33897` | `string` | Source dimension retained during long-form normalization. | `10540` | | `dimension_column_3` | `string` | Source dimension retained during long-form normalization. | `محكمة الاستئناف بالرباط` | | `dimension_d_3640` | `string` | Source dimension retained during long-form normalization. | `1236` | | `dimension_d_8485` | `string` | Source dimension retained during long-form normalization. | `4004` | | `dimension_d_77` | `string` | Source dimension retained during long-form normalization. | `447` | | `dimension_d_957` | `string` | Source dimension retained during long-form normalization. | `1107` | | `dimension_d_213` | `string` | Source dimension retained during long-form normalization. | `460` | | `dimension_d_800` | `string` | Source dimension retained during long-form normalization. | `380` | | `dimension_d_161` | `string` | Source dimension retained during long-form normalization. | `341` | | `dimension_d_3594` | `string` | Source dimension retained during long-form normalization. | `3031` | | `dimension_d_18034` | `string` | Source dimension retained during long-form normalization. | `2574` | | `dimension_d_333` | `string` | Source dimension retained during long-form normalization. | `44` | | `dimension_d_2252` | `string` | Source dimension retained during long-form normalization. | `2159` | | `dimension_d_3192` | `string` | Source dimension retained during long-form normalization. | `1532` | | `dimension_d_41738` | `string` | Source dimension retained during long-form normalization. | `17315` | | `dimension_column_4` | `string` | Source dimension retained during long-form normalization. | `محكمة الاستئناف بالرباط` | | `dimension_d_3081` | `string` | Source dimension retained during long-form normalization. | `873` | | `dimension_d_5895` | `string` | Source dimension retained during long-form normalization. | `2760` | | `dimension_d_45` | `string` | Source dimension retained during long-form normalization. | `172` | | `dimension_d_587` | `string` | Source dimension retained during long-form normalization. | `426` | | `dimension_d_110` | `string` | Source dimension retained during long-form normalization. | `120` | | `dimension_d_655` | `string` | Source dimension retained during long-form normalization. | `281` | | `dimension_d_148` | `string` | Source dimension retained during long-form normalization. | `280` | | `dimension_d_2266` | `string` | Source dimension retained during long-form normalization. | `1293` | | `dimension_d_12597` | `string` | Source dimension retained during long-form normalization. | `1568` | | `dimension_d_220` | `string` | Source dimension retained during long-form normalization. | `19` | | `dimension_d_1358` | `string` | Source dimension retained during long-form normalization. | `1094` | | `dimension_d_2207` | `string` | Source dimension retained during long-form normalization. | `993` | | `dimension_d_29169` | `string` | Source dimension retained during long-form normalization. | `9879` | | `dimension_column_5` | `string` | Source dimension retained during long-form normalization. | `محكمة الاستئناف بالرباط` | | `dimension_d_559` | `string` | Source dimension retained during long-form normalization. | `363` | | `dimension_d_2590` | `string` | Source dimension retained during long-form normalization. | `1244` | | `dimension_d_32` | `string` | Source dimension retained during long-form normalization. | `275` | | `dimension_d_370` | `string` | Source dimension retained during long-form normalization. | `681` | | `dimension_d_103` | `string` | Source dimension retained during long-form normalization. | `340` | | `dimension_d_145` | `string` | Source dimension retained during long-form normalization. | `99` | | `dimension_d_13` | `string` | Source dimension retained during long-form normalization. | `61` | | `dimension_d_1328` | `string` | Source dimension retained during long-form normalization. | `1738` | | `dimension_d_5437` | `string` | Source dimension retained during long-form normalization. | `1006` | | `dimension_d_113` | `string` | Source dimension retained during long-form normalization. | `25` | | `dimension_d_894` | `string` | Source dimension retained during long-form normalization. | `1065` | | `dimension_d_985` | `string` | Source dimension retained during long-form normalization. | `539` | | `dimension_d_12569` | `string` | Source dimension retained during long-form normalization. | `7436` | | `dimension_column_6` | `string` | Source dimension retained during long-form normalization. | `محكمة الاستئناف بالرباط` | | `dimension_d_588` | `string` | Source dimension retained during long-form normalization. | `352` | | `dimension_d_196` | `string` | Source dimension retained during long-form normalization. | `42` | | `dimension_d_205` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_883` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_1756` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_30` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_36` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_4028` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_71` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_1443` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_236` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_11427` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_column_7` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_457` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_1576` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_456` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_404` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_3276` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_2544` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_33` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_44` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_17299` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_755` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_3223` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_2899` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_32966` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_column_8` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_1045` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_3531` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_652` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_609` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_4159` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_4300` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_63` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_80` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_21327` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_826` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_4666` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_3135` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_44393` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_column_9` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_362` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_2050` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_495` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_365` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_2405` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_2532` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_41` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_7` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_18195` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_697` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_3381` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_2865` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_33395` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_column_10` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_683` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_1481` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_157` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_244` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_1754` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_1768` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_22` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_73` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_3132` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_129` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_1285` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_270` | `string` | Source dimension retained during long-form normalization. | `` | | `dimension_d_10998` | `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-caf65c79") 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-2023_) - **Publisher:** MJ - **Portal:** [https://data.gov.ma/data](https://data.gov.ma/data) - **Resource:** [النشاط المفصل لمحاكم الاستئناف سنة 2024.xlsx](https://data.gov.ma/data/ar/dataset/e662a834-ae34-41c9-8de8-881a13f53c73/resource/39ded81a-1cab-4cac-b847-24095e7f3946/download/-2024.xlsx) - **License:** [Open Data Commons Open Database License](https://opendatacommons.org/licenses/odbl/) - **Retrieved/generated:** `2026-07-16T21:32:28Z` - **Hugging Face repo:** [electricsheepafrica/africa-morocco-activite-detaillee-des-cours-d-appel-caf65c79](https://huggingface.co/datasets/electricsheepafrica/africa-morocco-activite-detaillee-des-cours-d-appel-caf65c79) ## 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_caf65c79_1955, title = {Activite Detaillee Des Cours D Appel | Africa (Morocco Open Data)}, author = {MJ}, year = {1955}, url = {https://data.gov.ma/data/dataset/activite-detaillee-des-cours-d-appel-en-2023_}, publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa}, howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-activite-detaillee-des-cours-d-appel-caf65c79}} } ``` ## 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-2023_