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electricsheepafrica/africa-morocco-compte-de-patrimoine-des-associations-de-microcredit-juin-6407db01

Compte De Patrimoine Des Associations De Microcredit Juin | Africa (Morocco Open Data) 14 rows - 1 Africa country/area - time not specified - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 14 rows from Morocco Open Data, covering Compte De Patrimoine Des Associations De Microcredit Juin. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-morocco-compte-de-patrimoine-des-associations-de-microcredit-juin-6407db01.

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Dataset Card

Compte De Patrimoine Des Associations De Microcredit Juin | Africa (Morocco Open Data)

14 rows - 1 Africa country/area - time not specified - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 14 rows from Morocco Open Data, covering Compte De Patrimoine Des Associations De Microcredit Juin. 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 le compte de patrimoine des Associations de microcrédit pour la période de juin 2007 à juin 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

DimensionValue
Rows14
Countries/areas1
First periodn/a
Last periodn/a
Indicators0
Columns71
Source formatXLSX

Geographic Coverage

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

AreaRowsFirst yearLast yearName
MAR14n/an/aMorocco

Indicators, Variables, Or Resource Contents

  • —This repo preserves one source tabular resource with its usable columns kept together.

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier assigned during Electric Sheep Africa engineering.1b9e90d0-1e67-41e9-8c0a-35c69c7b5ec6:feuil1:0
country_iso3stringISO3 country or area code.MAR
country_namestringCountry or area name.Morocco
source_sheetstringSource column from the original resource.Feuil1
actifstringSource column from the original resource.Numéraire et dépôts
d_4969_575doubleSource column from the original resource.322.571
d_6415_297doubleSource column from the original resource.727.027
d_7088_937doubleSource column from the original resource.855.677
d_7077_823doubleSource column from the original resource.1181.477
d_6850_342000000001doubleSource column from the original resource.1251.593
d_6330_550000000001doubleSource column from the original resource.1260.122
d_6237_359000000001doubleSource column from the original resource.879.775
d_5944_075doubleSource column from the original resource.964.521
d_6194_95718434doubleSource column from the original resource.982.4130053
d_6153_071999999999doubleSource column from the original resource.1043.988
d_6024_656042719999doubleSource column from the original resource.1015.4183847
d_6063_397159359999doubleSource column from the original resource.1123.40983577
d_5931_1236134599985doubleSource column from the original resource.996.40672498
d_5866_483033150001doubleSource column from the original resource.912.7590688
d_5876_671160569999doubleSource column from the original resource.913.84117146
d_5627_54756164doubleSource column from the original resource.556.4622612000001
d_5743_676611079927doubleSource column from the original resource.519.0673520900001
d_5914_88100275doubleSource column from the original resource.727.07
d_5975_938623780972doubleSource column from the original resource.720.8276928109711
d_5923_675326105557doubleSource column from the original resource.655.391
d_6249_8679555doubleSource column from the original resource.607.916
d_6283_712788650083doubleSource column from the original resource.575.61485052
d_6511_016087410001doubleSource column from the original resource.633.79559233
d_6651_062335604536doubleSource column from the original resource.839.0359119120357
d_6712_828999837509doubleSource column from the original resource.768.6997809650086
d_6995_851doubleSource column from the original resource.787.855
d_7177_846906162501doubleSource column from the original resource.874.8209436
d_7121_128doubleSource column from the original resource.831.741
d_7334_968279560002doubleSource column from the original resource.897.58724208
d_7587_407doubleSource column from the original resource.816.105
d_7622_5102138411385doubleSource column from the original resource.685.9466097855121
d_7553_258doubleSource column from the original resource.791.762
d_7700_506doubleSource column from the original resource.808.181
d_7789_433doubleSource column from the original resource.708.104
d_7915_255513010001doubleSource column from the original resource.954.44180569
d_7753_829744035697doubleSource column from the original resource.654.3635188956979
d_7938_496843160001doubleSource column from the original resource.731.63979253
d_8118_4102796525doubleSource column from the original resource.757.8071311775
d_8072_6312474225doubleSource column from the original resource.624.3927270775
d_8091_303150827501doubleSource column from the original resource.805.2360739399999
d_8295_8554841975doubleSource column from the original resource.754.3403911899999
d_8035_66572238doubleSource column from the original resource.255.05653883
d_8241_153722379999doubleSource column from the original resource.314.00453883
d_8278_706doubleSource column from the original resource.368.8316
d_8657_78doubleSource column from the original resource.621.591
d_8781_503771998454doubleSource column from the original resource.739.2854299999999
d_9075_247doubleSource column from the original resource.378.886
d_8994_033771998455doubleSource column from the original resource.359.33843
d_9374_155doubleSource column from the original resource.449.841
d_9319_097doubleSource column from the original resource.226.071
d_9537_19doubleSource column from the original resource.397.865
d_9544_98doubleSource column from the original resource.306.953
d_9725_403doubleSource column from the original resource.292.094
d_9807_007doubleSource column from the original resource.257.229
d_10122_842doubleSource column from the original resource.266.342
d_10434_105doubleSource column from the original resource.366.578
d_10465_077doubleSource column from the original resource.166.828
d_10628_366doubleSource column from the original resource.184.087
source_providerstringPublishing organization.Bank Al-Maghrib
source_datasetstringSource dataset or package title.Compte de patrimoine des Associations de microcrédit (juin-2007 à jui...
source_resourcestringSource resource title, table name, or file name.34-Compte de patrimoine des AMC T2 2007 au T2 2023.xlsx
source_package_idstringSource package identifier.7a683981-0aca-4dbb-891e-651dfce6932f
source_resource_idstringSource resource identifier.1b9e90d0-1e67-41e9-8c0a-35c69c7b5ec6
source_urlstringOriginal source URL or download URL.https://data.gov.ma/data/fr/dataset/7a683981-0aca-4dbb-891e-651dfce69...
license_idstringSource license identifier.odc-odbl
retrieved_atstringUTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-07-16T21:31:48Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-morocco-compte-de-patrimoine-des-associations-de-microcredit-juin-6407db01")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

python
print(df.info())
print(df.head())

Filter By Geography

python
if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "MAR"]

Time-Series Pattern

python
if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

python
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

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

bibtex
@misc{electric_sheep_africa_africa_morocco_compte_de_patrimoine_des_associations_de_microcredit_juin_6407db0_2026,
  title        = {Compte De Patrimoine Des Associations De Microcredit Juin | Africa (Morocco Open Data)},
  author       = {Bank Al-Maghrib},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/compte-de-patrimoine-des-associations-de-microcredit-juin-2007-a-juin-2023},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-compte-de-patrimoine-des-associations-de-microcredit-juin-6407db01}}
}

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.


Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.gov.ma/data/dataset/compte-de-patrimoine-des-associations-de-microcredit-juin-2007-a-juin-2023