electricsheepafrica/africa-morocco-indicateurs-sectoriels-93b1c933

Indicateurs Sectoriels | Africa (Morocco Open Data)

322 rows - 1 Africa country/area - time not specified - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 322 rows from Morocco Open Data, covering Indicateurs Sectoriels. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Labour and workforce datasets help analysts study employment, participation, skills, sectoral structure, and the movement of people through work and livelihoods.

Source-provided context: Ce fichier présente les indicateurs sectoriels (Agriculture et pêche maritime, Mines, Énergie, Eau, etc.). - Moyenne des précipitations nationales (En mm) -Superficie cultivée selon les principales cultures agricoles (En milliers ha) -Production des principales cultures (En milliers de qx) -Rendement des principales cultures (En qx/ha) -Effectif du cheptel (passage mars-avril) (En milliers de têtes) -Poids de la viande des abattages contrôlés (En milliers de tonnes) -Etat de la flotte de la pêche nationale -Production halieutique nationale -Production et utilisation des phosphates (En milliers de tonnes) -Production et exportation de l'acide phosphorique (Chiffre d'affaires à l'exportation du groupe OCP (En millions de dh)) -Taux de croissance de l'indice de la production minière (%) -Bilan du secteur énergétique (En milliers de TEP) -Exploitation de l'eau potable en milieu urbain -Industries de transformation -Production effective totale des Industries de transformation (En millions.

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	322
Countries/areas	1
First period	n/a
Last period	n/a
Indicators	0
Columns	20
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MAR	322	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.	fc3c168f-5b67-4d05-92e5-22abe56854de:maj-site-sectoriel-ar: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.	MAJ site(sectoriel) AR
column	string	Source column from the original resource.	المساحات المزروعة حسب أهم الزراعات (آلاف الهكتارات)
moyenne_des_precipitations_nationales_en_mm	string	Source column from the original resource.	Superficie cultivée selon les principales cultures agricoles (En mill...
d_345_18333333333334	double	Source column from the original resource.	``
d_348_24	double	Source column from the original resource.	``
d_296_7	double	Source column from the original resource.	``
d_255_6	double	Source column from the original resource.	``
d_291	double	Source column from the original resource.	``
d_188	double	Source column from the original resource.	``
source_provider	string	Publishing organization.	MEF
source_dataset	string	Source dataset or package title.	Indicateurs sectoriels
source_resource	string	Source resource title, table name, or file name.	Indicateurs sectoriels_AR.xlsx
source_package_id	string	Source package identifier.	2e75db6d-6a56-4652-8541-fe43ff32e854
source_resource_id	string	Source resource identifier.	fc3c168f-5b67-4d05-92e5-22abe56854de
source_url	string	Original source URL or download URL.	https://data.gov.ma/data/fr/dataset/2e75db6d-6a56-4652-8541-fe43ff32e...
license_id	string	Source license identifier.	odc-odbl
retrieved_at	string	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-07-16T21:31:48Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-morocco-indicateurs-sectoriels-93b1c933")
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: MEF
• Portal: https://data.gov.ma/data
• Resource: Indicateurs sectoriels_AR.xlsx
• License: Open Data Commons Open Database License
• Retrieved/generated: 2026-07-16T21:34:29Z
• Hugging Face repo: electricsheepafrica/africa-morocco-indicateurs-sectoriels-93b1c933

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 workforce composition over time
• Compare employment patterns across groups
• Join with education, population, and sector data
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_morocco_indicateurs_sectoriels_93b1c933_2026,
  title        = {Indicateurs Sectoriels | Africa (Morocco Open Data)},
  author       = {MEF},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/indicateurs-sectoriels-2012-2022},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-indicateurs-sectoriels-93b1c933}}
}

License

Released under Open Data Commons Open Database License.

Original data is published by MEF. 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.

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Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.gov.ma/data/dataset/indicateurs-sectoriels-2012-2022