electricsheepafrica/africa-egypt-capmas-supply-use-tables-4230690d
Supply Use Tables | Africa (CAPMAS Egypt Open Data) 6,165 rows - 1 Africa country/area - 2011-2018 - 23 indicators - Engineered by Electric Sheep Africa TL;DR This dataset contains 6,165 rows from CAPMAS Egypt Open Data, covering Supply Use Tables. 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-egypt-capmas-supply-use-tables-4230690d.
Supply Use Tables | Africa (CAPMAS Egypt Open Data)
6,165 rows - 1 Africa country/area - 2011-2018 - 23 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
TL;DR
This dataset contains 6,165 rows from CAPMAS Egypt Open Data, covering Supply Use Tables. 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.
This dataset covers Supply Use Tables from CAPMAS Egypt Open Data. Use the source and schema sections below to confirm definitions, units, and collection methodology before sensitive analytical use.
How To Read This Dataset
- One row means: one indicator observation for one geography, time period, and optional source dimensions.
- Primary geography column: source metadata (
EGY). - Best time column:
year. - Time coverage basis: year.
- Recommended join keys:
year,indicator_id, plus source-specific dimension columns.
Coverage
Geographic Coverage
Top areas shown below, sorted by row count when available:
Indicators, Variables, Or Resource Contents
7191- Total production inputs for aggregate use according to organizational sectors(Value in million L.E)8951- Total production for aggregate supply according to regulatory sectors(Value in million L.E)7193- Total production for aggregate use according to regulatory sectors(Value in million L.E)7192- Value Added at Basic Prices for Aggregate Use by Institutional Sectors(Value in million L.E)8952- Total Aggregate Use at Buyers' Prices by Products(Value in million L.E)7263- Total Supply by Table Categories(Value in 1000)8953- Total Commodity Balance by Item(Value in 1000)8954- Total Trade and Transport Margins by Product(Value in 1000)8956- Total Intermediate Consumption by International Categories(Value in 1000)7253- Total Supply at Basic Prices by Product(Value in 1000)8955- Net Taxes, Customs Duties, and Subsidies by Product(Value in 1000)7256- Total Supply at Buyer Prices by Product(Value in 1000)7295- Total Final Consumption Expenditure by Product(Value in 1000)8957- Total Capital Formation by Product(Value in 1000)7262- Total Use at Buyer Prices by Product(Value in 1000)8970- Total Exports by Product(Value in 1000)8971- Intermediate Consumption Total by Product(Value in 1000)8972- Total Imports by Product(Value in 1000)8958- Total value added at basic prices according to regulatory sectors(Value in million L.E)8959- Total Supply at Buyers' Aggregate Prices by Products(Value in million L.E)- ... 3 more indicators
Schema
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-egypt-capmas-supply-use-tables-4230690d")
df = ds["train"].to_pandas()
print(df.head())Inspect Columns
print(df.info())
print(df.head())Filter By Geography
# This dataset is scoped to Egypt in source metadata.
sample = df.copy()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
- Canonical time field:
year. - 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: CAPMAS Egypt Open Data
- Publisher: Central Agency for Public Mobilisation and Statistics (CAPMAS), Egypt
- Portal: https://www.capmas.gov.eg
- Resource: Supply Use Tables
- License: Source-specific or other license
- Retrieved/generated:
2026-08-08T13:10:47Z - Hugging Face repo: electricsheepafrica/africa-egypt-capmas-supply-use-tables-4230690d
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
- Build time-series views and period-over-period comparisons
- Pivot to indicator x period matrices
- Check missingness before modeling
- Use source or repo metadata for country scope when a geography column is not present
Citation
@misc{electric_sheep_africa_africa_egypt_capmas_supply_use_tables_4230690d_2018,
title = {Supply Use Tables | Africa (CAPMAS Egypt Open Data)},
author = {Central Agency for Public Mobilisation and Statistics (CAPMAS), Egypt},
year = {2018},
url = {https://www.capmas.gov.eg},
publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-egypt-capmas-supply-use-tables-4230690d}}
}License
Released under Source-specific or other license.
Original data is published by Central Agency for Public Mobilisation and Statistics (CAPMAS), Egypt. 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://www.capmas.gov.eg
