electricsheepafrica/africa-morocco-estimations-des-depenses-budget-de-fonctionnement-2026-50150739
Estimations Des Depenses Budget De Fonctionnement 2026 | Africa (Morocco Open Data) 185 rows - 1 Africa country/area - time not specified - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 185 rows from Morocco Open Data, covering Estimations Des Depenses Budget De Fonctionnement 2026. 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-estimations-des-depenses-budget-de-fonctionnement-2026-50150739.
Estimations Des Depenses Budget De Fonctionnement 2026 | Africa (Morocco Open Data)
185 rows - 1 Africa country/area - time not specified - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
TL;DR
This dataset contains 185 rows from Morocco Open Data, covering Estimations Des Depenses Budget De Fonctionnement 2026. 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 les estimations des dépenses de fonctionnement du projet de budget de l’exercice financier 2026.
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_iso3where 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-estimations-des-depenses-budget-de-fonctionnement-2026-50150739")
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: Commune Ait Melloul
- Portal: https://data.gov.ma/data
- Resource: مصاريف التسييرلمشروع ميزانية السنة المالية 2026.xlsx
- License: Open Data Commons Open Database License
- Retrieved/generated:
2026-07-16T21:36:43Z - Hugging Face repo: electricsheepafrica/africa-morocco-estimations-des-depenses-budget-de-fonctionnement-2026-50150739
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_iso3as the safest geography join key when present
Citation
@misc{electric_sheep_africa_africa_morocco_estimations_des_depenses_budget_de_fonctionnement_2026_50150739_2026,
title = {Estimations Des Depenses Budget De Fonctionnement 2026 | Africa (Morocco Open Data)},
author = {Commune Ait Melloul},
year = {2026},
url = {https://data.gov.ma/data/dataset/estimations-des-depenses-budget-de-fonctionnement-2026},
publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-estimations-des-depenses-budget-de-fonctionnement-2026-50150739}}
}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/estimations-des-depenses-budget-de-fonctionnement-2026
