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electricsheepafrica/africa-morocco-les-donnees-financieres-synthese-du-resultat-global-du-bud-2933b86f

Les Donnees Financieres Synthese Du Resultat Global Du Bud | Africa (Morocco Open Data) 7 rows - 1 Africa country/area - time not specified - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 7 rows from Morocco Open Data, covering Les Donnees Financieres Synthese Du Resultat Global Du Bud. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-morocco-les-donnees-financieres-synthese-du-resultat-global-du-bud-2933b86f.

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Dataset Card

Les Donnees Financieres Synthese Du Resultat Global Du Bud | Africa (Morocco Open Data)

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

rows countries period indicators license

TL;DR

This dataset contains 7 rows from Morocco Open Data, covering Les Donnees Financieres Synthese Du Resultat Global Du Bud. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Economic datasets help analysts examine production, prices, public finance, trade flows, market conditions, and macroeconomic change.

Source-provided context: Ce fichier présente le budget général complet, structuré en 12 postes budgétaires détaillés, avec des mécanismes de suivi, contrôle et évaluation intégrés.

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

DimensionValue
Rows7
Countries/areas1
First periodn/a
Last periodn/a
Indicators0
Columns22
Source formatXLSX

Geographic Coverage

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

AreaRowsFirst yearLast yearName
MAR7n/an/aMorocco

Indicators, Variables, Or Resource Contents

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

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier assigned during Electric Sheep Africa engineering.a0988332-7d54-47de-a6b0-f51c4bb56467:dataset:0
country_iso3stringISO3 country or area code.MAR
country_namestringCountry or area name.Morocco
source_sheetstringSource column from the original resource.حصرالنتيجة العامة(جدول تركيبي)
columnstringSource column from the original resource.مجموع الحسابات الخصوصية
column_2doubleSource column from the original resource.``
d_203518500doubleSource column from the original resource.4350000.0
d_212096292_33doubleSource column from the original resource.0.0
d_393350514_61doubleSource column from the original resource.8052309.93
d_398107376_38doubleSource column from the original resource.8052309.93
d_352549865_28doubleSource column from the original resource.7960322.54
d_209427793_28stringSource column from the original resource.7350000
d_176664825_38doubleSource column from the original resource.702309.9300000002
d_0doubleSource column from the original resource.0.0
source_providerstringPublishing organization.Commune Ait Melloul
source_datasetstringSource dataset or package title.Les données financières – Synthèse du résultat global du budget 2024
source_resourcestringSource resource title, table name, or file name.البيانات المالية لسنة _2025_حصرالنتيجة_العامة_جدول_تركيبي_.xlsx
source_package_idstringSource package identifier.38ae69d1-fe60-4bea-ad0a-1891e02b04b2
source_resource_idstringSource resource identifier.a0988332-7d54-47de-a6b0-f51c4bb56467
source_urlstringOriginal source URL or download URL.https://data.gov.ma/data/ar/dataset/38ae69d1-fe60-4bea-ad0a-1891e02b0...
license_idstringSource license identifier.odc-odbl
retrieved_atstringUTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-07-16T21:31:48Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-morocco-les-donnees-financieres-synthese-du-resultat-global-du-bud-2933b86f")
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

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

  • —Build time-series dashboards
  • —Compare economic indicators
  • —Join with population or sector data
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_morocco_les_donnees_financieres_synthese_du_resultat_global_du_bud_2933b8_2026,
  title        = {Les Donnees Financieres Synthese Du Resultat Global Du Bud | Africa (Morocco Open Data)},
  author       = {Commune Ait Melloul},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/les-donnees-financieres-de-l-annee-2024-synthese-du-resultat-global-du-budget-2024},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-les-donnees-financieres-synthese-du-resultat-global-du-bud-2933b86f}}
}

License

Released under Open Data Commons Open Database License.

Original data is published by Commune Ait Melloul. 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/les-donnees-financieres-de-l-annee-2024-synthese-du-resultat-global-du-budget-2024