electricsheepafrica/africa-morocco-position-des-autres-societes-financieres-vis-a-vis-de-l-ad-ff88f667

Position Des Autres Societes Financieres Vis a Vis De L Ad | Africa (Morocco Open Data)

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

TL;DR

This dataset contains 17 rows from Morocco Open Data, covering Position Des Autres Societes Financieres Vis a Vis De L Ad. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Economic datasets help analysts examine production, prices, public finance, trade flows, market conditions, and macroeconomic change.

Source-provided context: Ce fichier présente la position des autres sociétés financières vis-à-vis de l'Administration Centrale pour la période de décembre 2007 à septembre 2023

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	17
Countries/areas	1
First period	n/a
Last period	n/a
Indicators	0
Columns	77
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MAR	17	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.	edeb794c-6a3e-4ce8-b414-540f1dcb88fe:feuil1:0
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.	Feuil1
opcvm_obligations	string	Source column from the original resource.	OPCVM diversifié
nd	string	Source column from the original resource.	ND
nd_2	string	Source column from the original resource.	ND
nd_3	string	Source column from the original resource.	ND
nd_4	string	Source column from the original resource.	ND
nd_5	string	Source column from the original resource.	ND
nd_6	string	Source column from the original resource.	ND
nd_7	string	Source column from the original resource.	ND
nd_8	string	Source column from the original resource.	ND
nd_9	double	Source column from the original resource.	``
nd_10	double	Source column from the original resource.	``
nd_11	double	Source column from the original resource.	``
nd_12	double	Source column from the original resource.	``
nd_13	double	Source column from the original resource.	``
nd_14	double	Source column from the original resource.	``
nd_15	double	Source column from the original resource.	``
nd_16	double	Source column from the original resource.	``
d_62904_1303	double	Source column from the original resource.	1912.049991149123
d_69817_08980958692	double	Source column from the original resource.	2205.1373906884314
d_69235_12732741819	double	Source column from the original resource.	2211.807264113585
d_65187_00577	double	Source column from the original resource.	2093.42354
d_72921_11627878885	double	Source column from the original resource.	2195.341567573867
d_70921_32049875158	double	Source column from the original resource.	2504.939495063972
d_77019_65022	double	Source column from the original resource.	2545.53223
d_72607_42641	double	Source column from the original resource.	2788.71195
d_78909_2298	double	Source column from the original resource.	3144.91431
d_93953_98042000002	double	Source column from the original resource.	3079.87437
d_95863_91399	double	Source column from the original resource.	4058.7048
d_93612_44439	double	Source column from the original resource.	4041.55454
d_105614_22713	double	Source column from the original resource.	4217.38101
d_116922_68322	double	Source column from the original resource.	4927.6253
d_111412_62965399033	double	Source column from the original resource.	5201.225241404722
d_118778_91667000004	double	Source column from the original resource.	5397.04125
d_130801_97889430157	double	Source column from the original resource.	5218.412921036325
d_152889_62204	double	Source column from the original resource.	6030.99229
d_156572_85614829708	double	Source column from the original resource.	6908.7546986023535
d_152185_04581	double	Source column from the original resource.	6859.80508
d_163976_58532890296	double	Source column from the original resource.	7675.109050296096
d_173309_60309342606	double	Source column from the original resource.	8205.844471466122
d_163889_56363645577	double	Source column from the original resource.	7890.64243640875
d_166598_3268265993	double	Source column from the original resource.	8685.825066530633
d_173696_47616190193	double	Source column from the original resource.	9512.196136420906
d_185299_48576146064	double	Source column from the original resource.	9984.80216863937
d_183330_6457323012	double	Source column from the original resource.	9532.752113549665
d_184954_76789923952	double	Source column from the original resource.	9934.340208743972
d_194479_03203476383	double	Source column from the original resource.	10108.133447412169
d_209674_1537688188	double	Source column from the original resource.	10243.013581738358
d_202404_25492742952	double	Source column from the original resource.	10307.535344110369
d_204107_9541822633	double	Source column from the original resource.	9858.219471676097
d_198871_44594088753	double	Source column from the original resource.	9524.618153571671
d_217315_8895363772	double	Source column from the original resource.	9839.01991508448
d_216990_64820774068	double	Source column from the original resource.	10643.662266077554
d_215129_80135865923	double	Source column from the original resource.	10764.464857845707
d_224715_78871370314	double	Source column from the original resource.	11387.095664675484
d_234738_0944556444	double	Source column from the original resource.	23047.849960337397
d_230943_43697414038	double	Source column from the original resource.	22890.42129534765
d_229308_20436342922	double	Source column from the original resource.	24062.509500151267
d_236616_1746490109	double	Source column from the original resource.	26076.99409663998
d_235608_11450771854	double	Source column from the original resource.	26366.248220948622
d_225429_79128994394	double	Source column from the original resource.	27640.244251633885
d_211327_58813957937	double	Source column from the original resource.	26220.562103327346
d_197860_10094701734	double	Source column from the original resource.	24853.0966731251
d_189523_72062503925	double	Source column from the original resource.	21608.718455576058
d_197582_99986939892	double	Source column from the original resource.	23520.680792612937
d_210920_74528745998	double	Source column from the original resource.	24899.11019658
source_provider	string	Publishing organization.	Bank Al-Maghrib
source_dataset	string	Source dataset or package title.	Position des autres sociétés financières vis-à-vis de l'Administratio...
source_resource	string	Source resource title, table name, or file name.	36-Position des autres sociétés financire vis-vis de l'Administration...
source_package_id	string	Source package identifier.	d3e8243c-cb74-426c-a8c1-6d132e7b164b
source_resource_id	string	Source resource identifier.	edeb794c-6a3e-4ce8-b414-540f1dcb88fe
source_url	string	Original source URL or download URL.	https://data.gov.ma/data/fr/dataset/d3e8243c-cb74-426c-a8c1-6d132e7b1...
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-position-des-autres-societes-financieres-vis-a-vis-de-l-ad-ff88f667")
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: Bank Al-Maghrib
• Portal: https://data.gov.ma/data
• Resource: 36-Position des autres sociétés financire vis-vis de l'Administration Centrale déc 2007 - sept 2023.xlsx
• License: Open Data Commons Open Database License
• Retrieved/generated: 2026-07-16T22:06:58Z
• Hugging Face repo: electricsheepafrica/africa-morocco-position-des-autres-societes-financieres-vis-a-vis-de-l-ad-ff88f667

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

• Build time-series dashboards
• Compare economic indicators
• Join with population or sector data
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_morocco_position_des_autres_societes_financieres_vis_a_vis_de_l_ad_ff88f6_2026,
  title        = {Position Des Autres Societes Financieres Vis a Vis De L Ad | Africa (Morocco Open Data)},
  author       = {Bank Al-Maghrib},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/position-des-autres-societes-financieres-vis-a-vis-de-l-administration-centrale-dec-2007-a-sept-2023},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-position-des-autres-societes-financieres-vis-a-vis-de-l-ad-ff88f667}}
}

License

Released under Open Data Commons Open Database License.

Original data is published by Bank Al-Maghrib. 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/position-des-autres-societes-financieres-vis-a-vis-de-l-administration-centrale-dec-2007-a-sept-2023