CoolFace
Datasetpublic

electricsheepafrica/africa-morocco-series-annuelles-et-trimestrielles-relatives-a-la-dette-ex-03d1548e

Series Annuelles Et Trimestrielles Relatives a La Dette Ex | Africa (Morocco Open Data) 56 rows - 1 Africa country/area - time not specified - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 56 rows from Morocco Open Data, covering Series Annuelles Et Trimestrielles Relatives a La Dette Ex. 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-series-annuelles-et-trimestrielles-relatives-a-la-dette-ex-03d1548e.

sourceHugging Faceodblupdated 2mo agoView on Hugging Face
0likes12downloads
Dataset Card

Series Annuelles Et Trimestrielles Relatives a La Dette Ex | Africa (Morocco Open Data)

56 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 56 rows from Morocco Open Data, covering Series Annuelles Et Trimestrielles Relatives a La Dette Ex. 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: Dette du trésor

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
Rows56
Countries/areas1
First periodn/a
Last periodn/a
Indicators0
Columns46
Source formatXLS

Geographic Coverage

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

AreaRowsFirst yearLast yearName
MAR56n/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.96b3423f-9f0e-4279-9947-7d49e45e5455:public-debt-annual-series-en:0
country_iso3stringISO3 country or area code.MAR
country_namestringCountry or area name.Morocco
source_sheetstringSource column from the original resource.PUBLIC-DEBT--Annual Series-EN
public_debtstringSource column from the original resource.PUBLIC EXTERNAL DEBT
1998doubleSource column from the original resource.``
1999doubleSource column from the original resource.``
2000doubleSource column from the original resource.``
2001doubleSource column from the original resource.``
2002doubleSource column from the original resource.``
2003doubleSource column from the original resource.``
2004doubleSource column from the original resource.``
2005doubleSource column from the original resource.``
2006doubleSource column from the original resource.``
2007doubleSource column from the original resource.``
2008doubleSource column from the original resource.``
2009doubleSource column from the original resource.``
2010doubleSource column from the original resource.``
2011doubleSource column from the original resource.``
2012doubleSource column from the original resource.``
2013doubleSource column from the original resource.``
source_providerstringPublishing organization.Ministère de l'Economie et des Finances
source_datasetstringSource dataset or package title.Séries annuelles et trimestrielles relatives à la dette extérieur pub...
source_resourcestringSource resource title, table name, or file name.Dette du trésor
source_package_idstringSource package identifier.5b89f76d-3a85-4f71-b92c-ab4958ec3e6d
source_resource_idstringSource resource identifier.96b3423f-9f0e-4279-9947-7d49e45e5455
source_urlstringOriginal source URL or download URL.https://data.gov.ma/data/ar/dataset/5b89f76d-3a85-4f71-b92c-ab4958ec3...
license_idstringSource license identifier.odc-odbl
retrieved_atstringUTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-07-16T21:31:48Z
encours_de_la_dette_exterieure_publique_en_millions_usstringSource column from the original resource.``
d_19324doubleSource column from the original resource.``
d_17548doubleSource column from the original resource.``
d_16047doubleSource column from the original resource.``
d_14067doubleSource column from the original resource.``
d_13957doubleSource column from the original resource.``
d_14359_7doubleSource column from the original resource.``
d_13989_8doubleSource column from the original resource.``
d_12527_4doubleSource column from the original resource.``
d_13708_6doubleSource column from the original resource.``
d_15822_6doubleSource column from the original resource.``
d_16492_2doubleSource column from the original resource.``
d_19372doubleSource column from the original resource.``
d_20797_8doubleSource column from the original resource.``
d_22047_8doubleSource column from the original resource.``
d_25222_4doubleSource column from the original resource.``
d_28801doubleSource column from the original resource.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-morocco-series-annuelles-et-trimestrielles-relatives-a-la-dette-ex-03d1548e")
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_series_annuelles_et_trimestrielles_relatives_a_la_dette_ex_03d154_2026,
  title        = {Series Annuelles Et Trimestrielles Relatives a La Dette Ex | Africa (Morocco Open Data)},
  author       = {Ministère de l'Economie et des Finances},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/series-annuelles-et-trimestrielles-dette-exterieur-publique-dette-exterieure-brute},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-series-annuelles-et-trimestrielles-relatives-a-la-dette-ex-03d1548e}}
}

License

Released under Open Data Commons Open Database License.

Original data is published by Ministère de l'Economie et des Finances. 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/series-annuelles-et-trimestrielles-dette-exterieur-publique-dette-exterieure-brute