electricsheepafrica/africa-egypt-capmas-delegated-returning-scholars-from-educational-missions-abroad-0798fa20

Delegated / Returning Scholars from Educational Missions Abroad | Africa (CAPMAS Egypt Open Data)

2,355 rows - 1 Africa country/area - 2010-2023 - 48 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 2,355 rows from CAPMAS Egypt Open Data, covering Delegated / Returning Scholars from Educational Missions Abroad. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Education datasets help analysts study access, participation, learning systems, infrastructure, and outcomes across places and periods.

This dataset covers Delegated / Returning Scholars from Educational Missions Abroad 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

• —2758 - Total number of individuals sent abroad for scientific missions by groups of sciences(Number)
• —2778 - Total numerical distribution of those sent abroad for external missions by type(Number)
• —2765 - Total number of individuals sent abroad for scientific missions by type of delegation(Number)
• —2783 - Total Development of the Number of Delegates Abroad in External Missions According to Science Groups(Number)
• —8692 - Numerical distribution of those sent abroad for scientific missions by gender(Number)
• —2824 - Total number of delegates abroad for scientific missions according to science groups(Number)
• —8693 - Numerical distribution of those sent abroad for study leave by gender(Number)
• —2859 - Total Development of the Number of Scholars Sent Abroad for Study Leave According to Science Groups(Number)
• —2875 - Total numerical development of those sent abroad in joint supervision missions by gender(Number)
• —2879 - Total Development of the Number of Delegates Abroad in Joint Supervision Missions According to Science Groups(Number)
• —2883 - Total number of individuals sent abroad for scientific missions according to broad fields based on the ISCED classification.(Number)
• —2892 - Total number of delegates abroad in external missions according to country groups based on the ISCED classification.(Number)
• —2889 - Total number of individuals sent abroad for scientific missions according to the type of delegation classified by ISCED(Number)
• —2897 - Total number of individuals sent abroad for external missions according to the broad field classification based on the ISCED classification.(Number)
• —2900 - Total number of individuals sent abroad for external missions according to the specific field based on the ISCED classification.(Number)
• —2926 - Total number of individuals sent abroad for scientific missions according to broad fields based on the ISCED classification.(Number)
• —2938 - Total number of individuals sent abroad for scientific missions according to the narrow field classification based on the ISCED classification.(Number)
• —2965 - Total number of delegates abroad for scientific missions according to country groups based on the ISCED classification.(Number)
• —2993 - Total number of scholars sent abroad for study leave according to country groups based on the ISCED classification.(Number)
• —3037 - Total number of individuals sent abroad for joint supervision missions according to country groups based on the ISCED classification.(Number)
• —... 28 more indicators

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-egypt-capmas-delegated-returning-scholars-from-educational-missions-abroad-0798fa20")
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: Delegated / Returning Scholars from Educational Missions Abroad
• —License: Source-specific or other license
• —Retrieved/generated: 2026-08-08T13:12:43Z
• —Hugging Face repo: electricsheepafrica/africa-egypt-capmas-delegated-returning-scholars-from-educational-missions-abroad-0798fa20

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

• —Compare education indicators by geography
• —Track participation or completion trends
• —Join with population and poverty indicators
• —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_delegated_returning_scholars_from_educational_missions_abroa_2023,
  title        = {Delegated / Returning Scholars from Educational Missions Abroad | Africa (CAPMAS Egypt Open Data)},
  author       = {Central Agency for Public Mobilisation and Statistics (CAPMAS), Egypt},
  year         = {2023},
  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-delegated-returning-scholars-from-educational-missions-abroad-0798fa20}}
}

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