electricsheepafrica/africa-morocco-indicateurs-sectoriels-98cd6d01

Indicateurs Sectoriels | Africa (Morocco Open Data)

16 rows - 1 Africa country/area - 2023 - 16 indicators - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 16 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 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	16
Countries/areas	1
First period	2023
Last period	2023
Indicators	16
Columns	17
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MAR	16	2023	2023	Morocco

Indicators, Variables, Or Resource Contents

• indicateurs-sectoriels-column-9-d2780f67 - Indicateurs sectoriels - column 9(source_units_unspecified)
• indicateurs-sectoriels-column-10-0c9738f4 - Indicateurs sectoriels - column 10(source_units_unspecified)
• indicateurs-sectoriels-column-11-50916e67 - Indicateurs sectoriels - column 11(source_units_unspecified)
• indicateurs-sectoriels-column-12-7e261517 - Indicateurs sectoriels - column 12(source_units_unspecified)
• indicateurs-sectoriels-column-13-9b35236d - Indicateurs sectoriels - column 13(source_units_unspecified)
• indicateurs-sectoriels-column-14-af9efc14 - Indicateurs sectoriels - column 14(source_units_unspecified)
• indicateurs-sectoriels-column-15-29a6f1da - Indicateurs sectoriels - column 15(source_units_unspecified)
• indicateurs-sectoriels-column-16-60e958a8 - Indicateurs sectoriels - column 16(source_units_unspecified)
• indicateurs-sectoriels-column-17-aed6ac07 - Indicateurs sectoriels - column 17(source_units_unspecified)
• indicateurs-sectoriels-column-18-d8257a51 - Indicateurs sectoriels - column 18(source_units_unspecified)
• indicateurs-sectoriels-column-19-f96caf04 - Indicateurs sectoriels - column 19(source_units_unspecified)
• indicateurs-sectoriels-column-20-c588f3c8 - Indicateurs sectoriels - column 20(source_units_unspecified)
• indicateurs-sectoriels-column-21-c3f6ad38 - Indicateurs sectoriels - column 21(source_units_unspecified)
• indicateurs-sectoriels-column-22-528393d2 - Indicateurs sectoriels - column 22(source_units_unspecified)
• indicateurs-sectoriels-column-23-5bd024f2 - Indicateurs sectoriels - column 23(source_units_unspecified)
• indicateurs-sectoriels-column-24-199b8bce - Indicateurs sectoriels - column 24(source_units_unspecified)

Schema

Column	Type	Description	Example
indicator_id	string	Stable source or Electric Sheep Africa indicator identifier.	indicateurs-sectoriels-column-9-d2780f67
indicator_name	string	Human-readable indicator name.	Indicateurs sectoriels - column 9
country_iso3	string	ISO3 country or area code.	MAR
source_sheet	string	Source column from the original resource.	MAJ site(sectoriel)
country_name	string	Country or area name.	Morocco
year	int64	Observation year.	2023
value	double	Numeric observation value.	2007.0
unit	string	Measurement unit, when supplied by the source.	source_units_unspecified
dimension_moyenne_des_precipitations_nationales_en_mm	string	Source dimension retained during long-form normalization.	Structure (En %)
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_FR_2025.xlsx
source_package_id	string	Source package identifier.	2e75db6d-6a56-4652-8541-fe43ff32e854
source_resource_id	string	Source resource identifier.	22abbf92-d09a-4612-948e-7e48471f9643
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-98cd6d01")
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

• 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
• Publisher: MEF
• Portal: https://data.gov.ma/data
• Resource: Indicateurs sectoriels_FR_2025.xlsx
• License: Open Data Commons Open Database License
• Retrieved/generated: 2026-07-16T21:34:33Z
• Hugging Face repo: electricsheepafrica/africa-morocco-indicateurs-sectoriels-98cd6d01

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
• 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

@misc{electric_sheep_africa_africa_morocco_indicateurs_sectoriels_98cd6d01_2023,
  title        = {Indicateurs Sectoriels | Africa (Morocco Open Data)},
  author       = {MEF},
  year         = {2023},
  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-98cd6d01}}
}

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