electricsheepafrica/africa-egypt-capmas-intra-trade-with-international-and-country-groups-c49d8336

Intra-Trade with International and Country Groups | Africa (CAPMAS Egypt Open Data)

3,441 rows - 1 Africa country/area - 2017-2022 - 50 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 3,441 rows from CAPMAS Egypt Open Data, covering Intra-Trade with International and Country Groups. 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.

This dataset covers Intra-Trade with International and Country Groups 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

• —1333 - Total Exports and Imports of Intra-Trade Involving Egypt(million dollar)
• —1334 - Total Exports and Imports of Inter-Regional Trade Excluding Egypt(million dollar)
• —1337 - Total Exports of Intra-Trade with International Groupings Excluding Egypt(million dollar)
• —1335 - Total Exports of Intra-Trade with International Groupings that Include Egypt(million dollar)
• —1338 - Total Imports of Intra-Trade with International Groupings that Include Egypt(million dollar)
• —1339 - Total Imports of Intra-Trade with International Groupings Excluding Egypt(million dollar)
• —1340 - Intra-trade exports with European Union countries(million dollar)
• —1342 - Exports of Intra-Trade with ESCWA Countries(million dollar)
• —1343 - Exports of Intra-Trade with AFTA Countries(million dollar)
• —1344 - Exports of Intra-Trade with the Group of Fifteen Countries(million dollar)
• —1347 - Intra-trade exports with COMESA countries(million dollar)
• —1349 - Exports of Intra-Trade with Mercosur Countries(million dollar)
• —1351 - Exports of Intra-Trade with ASEAN Countries(million dollar)
• —1356 - Exports of intra-group trade from commodity groups with European Union countries(million dollar)
• —1353 - Exports of Intra-Trade with Arab Free Trade Area Countries(million dollar)
• —1332 - Exports of intra-regional trade from commodity groups with Mercosur countries(1000 dollars)
• —1358 - Exports of intra-trade from commodity groups with the AFTA countries(million dollar)
• —1352 - Exports of Intra-Trade with the Group of Eight Developing Islamic Countries(million dollar)
• —1350 - Intra-trade exports with NAFTA countries(million dollar)
• —1359 - Exports of intra-regional trade from commodity groups with the Group of Fifteen countries(million dollar)
• —... 30 more indicators

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-egypt-capmas-intra-trade-with-international-and-country-groups-c49d8336")
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: Intra-Trade with International and Country Groups
• —License: Source-specific or other license
• —Retrieved/generated: 2026-08-08T13:11:10Z
• —Hugging Face repo: electricsheepafrica/africa-egypt-capmas-intra-trade-with-international-and-country-groups-c49d8336

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
• —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_intra_trade_with_international_and_country_groups_c49d8336_2022,
  title        = {Intra-Trade with International and Country Groups | 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-intra-trade-with-international-and-country-groups-c49d8336}}
}

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