electricsheepafrica/africa-morocco-evolution-de-la-consommation-du-ciment-0af67935
Evolution De La Consommation Du Ciment | Africa (Morocco Open Data) 8 rows - 1 Africa country/area - time not specified - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 8 rows from Morocco Open Data, covering Evolution De La Consommation Du Ciment. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. What This Dataset Measures… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-morocco-evolution-de-la-consommation-du-ciment-0af67935.
Evolution De La Consommation Du Ciment | Africa (Morocco Open Data)
8 rows - 1 Africa country/area - time not specified - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
TL;DR
This dataset contains 8 rows from Morocco Open Data, covering Evolution De La Consommation Du Ciment. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.
What This Dataset Measures
Official statistics datasets help analysts inspect public data as published by governments, national statistical systems, and regional data portals.
Source-provided context: Ce ficher présente l'évolution de la consommation du ciment par région (en milliers de tonnes)
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_iso3where available plus source-specific keys.
Coverage
Geographic Coverage
Top areas shown below, sorted by row count when available:
Indicators, Variables, Or Resource Contents
- This repo preserves one source tabular resource with its usable columns kept together.
Schema
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-morocco-evolution-de-la-consommation-du-ciment-0af67935")
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: MATNUHPV
- Portal: https://data.gov.ma/data
- Resource: evolution consommation ciment par region 2015-2020.xlsx
- License: Open Data Commons Open Database License
- Retrieved/generated:
2026-07-16T22:00:32Z - Hugging Face repo: electricsheepafrica/africa-morocco-evolution-de-la-consommation-du-ciment-0af67935
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
- Profile the distribution of values
- Compare categories or geographies
- Join with complementary public datasets
- Check missingness before modeling
- Use
country_iso3as the safest geography join key when present
Citation
@misc{electric_sheep_africa_africa_morocco_evolution_de_la_consommation_du_ciment_0af67935_2026,
title = {Evolution De La Consommation Du Ciment | Africa (Morocco Open Data)},
author = {MATNUHPV},
year = {2026},
url = {https://data.gov.ma/data/dataset/evolution-de-la-consommation-du-ciment-2015-2020},
publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-evolution-de-la-consommation-du-ciment-0af67935}}
}License
Released under Open Data Commons Open Database License.
Original data is published by MATNUHPV. 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/evolution-de-la-consommation-du-ciment-2015-2020
