Datasets:

electricsheepafrica
/

africa-morocco-archive-2017-statistiques-hebdomadaires-des-organismes-de-bc663f08

license: odbl
language:
  - en
task_categories:
  - tabular-classification
  - tabular-regression
multilinguality: monolingual
size_categories:
  - n<1K
tags:
  - tabular
  - xlsx
  - africa
  - morocco
  - official-statistics
  - open-data
pretty_name: >-
  [Archive 2017] Statistiques hebdomadaires des Organismes de Placement
  Collectif en Valeurs Mobilières (OPCVM) pour l'année 2017 | Africa (Morocco
  official open data)

[Archive 2017] Statistiques hebdomadaires des Organismes de Placement Collectif en Valeurs Mobilières (OPCVM) pour l'année 2017 | Africa (Morocco official open data)

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

TL;DR

This dataset packages one official XLSX 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 2017] Statistiques hebdomadaires des Organismes de Placement Collectif en Valeurs Mobilières (OPCVM) pour l'année 2017
Publisher: AMMC
Resource: STAT_OPCVM_HEBDO_AMMC 24112017.xlsx
Format: XLSX
License: Open Data Commons Open Database License
Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
`MAR`	42	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.	`e141906c-2430-4924-9c4e-afbaa64517d0: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`	`float64`	Source column.	`89.0`
`montant`	`string`	Source column.	`36271617151.2315`
`structure`	`string`	Source column.	`8.67310512927109`
`variation_hebdomadaire`	`float64`	Source column.	`-0.198660928495786`
`variation_mensuelle`	`float64`	Source column.	`3.18591228750989`
`variation_annuelle`	`float64`	Source column.	`37.6767531275793`
`column_8`	`string`	Source column.	``
`source_provider`	`string`	Publishing organization.	`AMMC`
`source_dataset`	`string`	Source package title.	`[Archive 2017] Statistiques hebdomadaires des Organismes de Placement Co`
`source_resource`	`string`	Source resource title.	`STAT_OPCVM_HEBDO_AMMC 24112017.xlsx`
`source_package_id`	`string`	CKAN package UUID.	`421d9bd4-fcda-4567-9680-803b96ce2366`
`source_resource_id`	`string`	CKAN resource UUID.	`e141906c-2430-4924-9c4e-afbaa64517d0`
`source_url`	`string`	Original source resource URL.	`https://data.gov.ma/data/fr/dataset/421d9bd4-fcda-4567-9680-803b96ce2366`
`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-2017-statistiques-hebdomadaires-des-organismes-de-bc663f08")
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_2017_statistiques_hebdomadaires_des_organismes_de_bc663f0_2026,
  title        = {[Archive 2017] Statistiques hebdomadaires des Organismes de Placement Collectif en Valeurs Mobilières (OPCVM) pour l'année 2017 | Africa (Morocco official open data)},
  author       = {AMMC},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/stat-hebdo-opcvm-2017},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-archive-2017-statistiques-hebdomadaires-des-organismes-de-bc663f08}}
}

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

Provenance: ingested 2026-07-16 via the Electric Sheep pipeline. Source URL: https://data.gov.ma/data/fr/dataset/421d9bd4-fcda-4567-9680-803b96ce2366/resource/e141906c-2430-4924-9c4e-afbaa64517d0/download/stat_opcvm_hebdo_ammc-24112017.xlsx