electricsheepafrica/africa-egypt-capmas-construction-for-public-and-public-business-companies-5cee4675

Construction for Public and Public Business Companies | Africa (CAPMAS Egypt Open Data)

6,890 rows - 1 Africa country/area - 2010-2022 - 52 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 6,890 rows from CAPMAS Egypt Open Data, covering Construction for Public and Public Business Companies. 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 Construction for Public and Public Business Companies 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

• —2881 - Total value of executed operations(EGP Thousand)
• —2882 - Total value of executed projects according to economic activity sectors(EGP Thousand)
• —2888 - Total value of operations executed by type(EGP Thousand)
• —2957 - Total Number of Operations by Type of Operation(Number)
• —2885 - Total value of executed works according to the geographical location of the project(EGP Thousand)
• —2895 - Total value of executed works according to the economic activities of the contracting party in the private sector(EGP Thousand)
• —2890 - Total value of executed works according to the economic activities of the contracting entity in the public sector(EGP Thousand)
• —2899 - Total value of operations executed by type in the private sector(EGP Thousand)
• —2906 - Total value of operations executed by type in the public sector(EGP Thousand)
• —2915 - Total value of executed projects according to the economic activities of the contracting entity in the public sector(EGP Thousand)
• —2925 - Total value of operations executed by type in the public sector(EGP Thousand)
• —2996 - Total value of main materials used according to the type of operation(EGP Thousand)
• —2939 - Total value of main raw materials used according to economic activity sectors(EGP Thousand)
• —2940 - Total value of auxiliary materials used according to economic activity sections(EGP Thousand)
• —2934 - Total value of executed works according to the economic activities of the contracting entity across all sectors(EGP Thousand)
• —2943 - Total Number of Operations According to Economic Activity Sectors(Number)
• —2963 - Total value of main raw materials used by type of material(EGP Thousand)
• —2948 - Total number of operations according to the geographical location of the operation(Number)
• —2968 - Total value of main raw materials used according to the geographical location of operations(EGP Thousand)
• —2977 - Total value of auxiliary materials used by type of material(EGP Thousand)
• —... 32 more indicators

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-egypt-capmas-construction-for-public-and-public-business-companies-5cee4675")
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: Construction for Public and Public Business Companies
• —License: Source-specific or other license
• —Retrieved/generated: 2026-08-08T13:12:15Z
• —Hugging Face repo: electricsheepafrica/africa-egypt-capmas-construction-for-public-and-public-business-companies-5cee4675

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_construction_for_public_and_public_business_companies_5cee46_2022,
  title        = {Construction for Public and Public Business Companies | Africa (CAPMAS Egypt Open Data)},
  author       = {Central Agency for Public Mobilisation and Statistics (CAPMAS), Egypt},
  year         = {2022},
  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-construction-for-public-and-public-business-companies-5cee4675}}
}

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