electricsheepafrica/africa-morocco-archive-2022-statistiques-hebdomadaires-des-organismes-de-b9c1dc34

[Archive 2022] Statistiques hebdomadaires des Organismes de Placement Collectif en Valeurs Mobilières (OPCVM) pour l'année 2022 | Africa (Morocco official open data)

37 rows - 1 Africa country - not-applicable - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLS resource from Morocco as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

• Source: [Archive 2022] Statistiques hebdomadaires des Organismes de Placement Collectif en Valeurs Mobilières (OPCVM) pour l'année 2022
• Publisher: AMMC
• Resource: STAT_OPCVM_HEBDO_AMMC_021222.xls
• Format: XLS
• License: Open Data Commons Open Database License
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MAR	37	n/a	n/a	Morocco

Indicators or Resource Contents

• This source file is packaged as a normalized tabular resource.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier for tabular resources.	5bc702dc-c66c-418f-ad48-dd3ed226c1e9:francais:0
country_iso3	string	ISO3 country code.	MAR
country_name	string	Country name.	Morocco
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Français
categorie	string	Source column.	Actions
nombre_opcvm	string	Source column.	104
montant	string	Source column.	39090743496.43
structure	string	Source column.	7.33528537718941
variation_hebdomadaire	string	Source column.	1.76675936826223
variation_mensuelle	float64	Source column.	1.76675936826223
variation_annuelle	float64	Source column.	-17.0791979353419
column_8	string	Source column.	``
source_provider	string	Publishing organization.	AMMC
source_dataset	string	Source package title.	[Archive 2022] Statistiques hebdomadaires des Organismes de Placement Co
source_resource	string	Source resource title.	STAT_OPCVM_HEBDO_AMMC_021222.xls
source_package_id	string	CKAN package UUID.	d3d04808-ffb2-49c9-815f-26d62dd0da56
source_resource_id	string	CKAN resource UUID.	5bc702dc-c66c-418f-ad48-dd3ed226c1e9
source_url	string	Original source resource URL.	https://data.gov.ma/data/fr/dataset/d3d04808-ffb2-49c9-815f-26d62dd0da56
license_id	string	Source license identifier.	odc-odbl
retrieved_at	string	UTC retrieval timestamp.	2026-07-16T21:31:48Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-morocco-archive-2022-statistiques-hebdomadaires-des-organismes-de-b9c1dc34")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "MAR"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_morocco_archive_2022_statistiques_hebdomadaires_des_organismes_de_b9c1dc3_2026,
  title        = {[Archive 2022] Statistiques hebdomadaires des Organismes de Placement Collectif en Valeurs Mobilières (OPCVM) pour l'année 2022 | Africa (Morocco official open data)},
  author       = {AMMC},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/stat-hebdo-opcvm-2022},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-archive-2022-statistiques-hebdomadaires-des-organismes-de-b9c1dc34}}
}

License

Released under Open Data Commons Open Database License.

Original data (c) AMMC. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepafrica

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Provenance: ingested 2026-07-16 via the Electric Sheep pipeline. Source URL: https://data.gov.ma/data/fr/dataset/d3d04808-ffb2-49c9-815f-26d62dd0da56/resource/5bc702dc-c66c-418f-ad48-dd3ed226c1e9/download/stat_opcvm_hebdo_ammc_021222.xls