electricsheepafrica/africa-egypt-capmas-cultural-statistics-6700ee4f

Cultural Statistics | Africa (CAPMAS Egypt Open Data)

3,184 rows - 1 Africa country/area - 2010-2021 - 119 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 3,184 rows from CAPMAS Egypt Open Data, covering Cultural Statistics. 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 Cultural Statistics 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

• —9024 - Total number of copies distributed of locally published general newspapers according to the issuance frequency.(No. in 1000)
• —9025 - Total Number of Public Newspapers Published Locally by Language(Number)
• —9026 - Total number of distributed copies of public newspapers published abroad according to the issuance frequency.(No. in 1000)
• —9027 - Total number of public newspapers published abroad by language(Number)
• —9028 - Total number of party newspapers published locally and abroad by party type(Number)
• —9031 - Number of periodicals published locally by the private sector(Number)
• —9032 - Number of periodicals published by the private sector abroad(Number)
• —9034 - Number of Egyptian feature and documentary films produced and licensed for screening(Number)
• —9035 - Number of Egyptian feature films licensed for export abroad(Number)
• —9037 - Total number of cinema halls in the public sector and private sector(Number)
• —9033 - Total Broadcast Hours of Foreign Radio Networks by Programs(hours)
• —9039 - Total Revenues of Cinemas in the Public and Private Sectors(thousand pound)
• —9038 - Total Number of Cinema Screening Halls in the Public and Private Sectors(Number)
• —9041 - Total Number of Cinema Screening Halls in the Private Sector(Number)
• —9036 - Number of foreign feature films licensed for import from abroad(Number)
• —9030 - Number of periodicals issued by the government and public sector / public enterprises abroad(Number)
• —9029 - Number of periodicals issued by the government and public sector / public enterprises locally(Number)
• —9045 - Total Revenues of Public Theaters and National Theater Troupes(thousand pound)
• —9043 - Number of Public Theaters and National Theater Troupes(Number)
• —9044 - Number of employees in public theaters and national theater troupes(Number)
• —... 99 more indicators

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-egypt-capmas-cultural-statistics-6700ee4f")
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: Cultural Statistics
• —License: Source-specific or other license
• —Retrieved/generated: 2026-08-08T13:13:00Z
• —Hugging Face repo: electricsheepafrica/africa-egypt-capmas-cultural-statistics-6700ee4f

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_cultural_statistics_6700ee4f_2021,
  title        = {Cultural Statistics | Africa (CAPMAS Egypt Open Data)},
  author       = {Central Agency for Public Mobilisation and Statistics (CAPMAS), Egypt},
  year         = {2021},
  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-cultural-statistics-6700ee4f}}
}

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