electricsheepafrica/africa-morocco-prestations-de-services-de-la-cnss-en-2022-ec72ae43

Prestations De Services De La Cnss En 2022 | Africa (Morocco Open Data)

9 rows - 1 Africa country/area - time not specified - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 9 rows from Morocco Open Data, covering Prestations De Services De La Cnss 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

Transport datasets help analysts examine mobility, infrastructure, passenger movement, logistics, and access to services.

Source-provided context: Ce fichier présente le nombre de bénéficiaires et les dépenses relatives aux prestations services de la CNSS au titre de l'année 2022

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

Geographic Coverage

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

Indicators, Variables, Or Resource Contents

• —This repo preserves one source tabular resource with its usable columns kept together.

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-morocco-prestations-de-services-de-la-cnss-en-2022-ec72ae43")
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

• —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
• —Publisher: CNSS
• —Portal: https://data.gov.ma/data
• —Resource: Prestations Servies_2022.xlsx
• —License: Open Data Commons Open Database License
• —Retrieved/generated: 2026-07-16T22:09:40Z
• —Hugging Face repo: electricsheepafrica/africa-morocco-prestations-de-services-de-la-cnss-en-2022-ec72ae43

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

• —Track mobility over time
• —Compare routes or geographies
• —Join with economic and population data
• —Check missingness before modeling
• —Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_morocco_prestations_de_services_de_la_cnss_en_2022_ec72ae43_2026,
  title        = {Prestations De Services De La Cnss En 2022 | Africa (Morocco Open Data)},
  author       = {CNSS},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/prestations-de-services-de-la-cnss-en-2022},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-prestations-de-services-de-la-cnss-en-2022-ec72ae43}}
}

License

Released under Open Data Commons Open Database License.

Original data is published by CNSS. 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/prestations-de-services-de-la-cnss-en-2022