Datasets:

electricsheepafrica
/

africa-morocco-chiffres-relatifs-a-l-investissement-en-mad-et-a-l-emploi-8f8498f0

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: >-
  Chiffres relatifs à l'investissement (en MAD) et à l'emploi dans la région de
  Drâa Tafilalet en 2021. | Africa (Morocco official open data)

Chiffres relatifs à l'investissement (en MAD) et à l'emploi dans la région de Drâa Tafilalet en 2021. | Africa (Morocco official open data)

20 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: Chiffres relatifs à l'investissement (en MAD) et à l'emploi dans la région de Drâa Tafilalet en 2021.
Publisher: Centre Régional d'Investissement Drâa Tafilalet
Resource: Open Data - CRI DT 2021 v2.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`	20	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.	`ea17ccc7-df00-4db2-b333-69ee7b748c65:sheet1:0`
`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.	`Sheet1`
`errachidia`	`string`	Source column.	`MIDELT`
`d_709002375_8`	`float64`	Source column.	`216549496.0`
`commerce`	`string`	Source column.	`Energie et Mines`
`d_43117000`	`float64`	Source column.	`1117445716.0`
`source_provider`	`string`	Publishing organization.	`Centre Régional d'Investissement Drâa Tafilalet`
`source_dataset`	`string`	Source package title.	`Chiffres relatifs à l'investissement (en MAD) et à l'emploi dans la régi`
`source_resource`	`string`	Source resource title.	`Open Data - CRI DT 2021 v2.xlsx`
`source_package_id`	`string`	CKAN package UUID.	`71174484-bf01-41ee-b515-15f65bfbe831`
`source_resource_id`	`string`	CKAN resource UUID.	`ea17ccc7-df00-4db2-b333-69ee7b748c65`
`source_url`	`string`	Original source resource URL.	`https://data.gov.ma/data/fr/dataset/71174484-bf01-41ee-b515-15f65bfbe831`
`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-chiffres-relatifs-a-l-investissement-en-mad-et-a-l-emploi-8f8498f0")
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_chiffres_relatifs_a_l_investissement_en_mad_et_a_l_emploi_8f8498f_2026,
  title        = {Chiffres relatifs à l'investissement (en MAD) et à l'emploi dans la région de Drâa Tafilalet en 2021. | Africa (Morocco official open data)},
  author       = {Centre Régional d'Investissement Drâa Tafilalet},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/chiffres-relatifs-a-l-investissement-en-mad-et-a-l-emploi-dans-la-region-de-draa-tafilalet-en-2021},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-chiffres-relatifs-a-l-investissement-en-mad-et-a-l-emploi-8f8498f0}}
}

License

Released under Open Data Commons Open Database License.

Original data (c) Centre Régional d'Investissement Drâa Tafilalet. 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/71174484-bf01-41ee-b515-15f65bfbe831/resource/ea17ccc7-df00-4db2-b333-69ee7b748c65/download/open-data-cri-dt-2021-v2.xlsx