electricsheepafrica/africa-egypt-capmas-means-of-transportation-of-oil-and-gas-material-e8af8828

Means of Transportation of Oil and Gas Material | Africa (CAPMAS Egypt Open Data)

4,004 rows - 1 Africa country/area - 2010-2023 - 53 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 4,004 rows from CAPMAS Egypt Open Data, covering Means of Transportation of Oil and Gas Material. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Energy datasets help analysts study supply, demand, prices, generation, access, and the infrastructure behind economic activity.

This dataset covers Means of Transportation of Oil and Gas Material 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

• —8300 - Lengths of Main Oil Pipelines(K.m)
• —8298 - Total Number of Tanks Available on Railways by Type of Petroleum Material(Number)
• —8297 - Total Number of Rail Tankers by Condition(Number)
• —8295 - Total quantities transported by chartered tankers on behalf of the Egyptian Petroleum Authority according to the name of the tanker.(1000 metric tons)
• —3098 - Total quantities of natural gas transported(Million/cubic meter)
• —8296 - Total quantities transported of petroleum products by the Petroleum Pipeline Company according to the type of petroleum material(1000 metric tons)
• —3140 - Total Length of Natural Gas Pipelines(K.m)
• —9306 - Total cost of quantities of natural gas transported distributed by months of the year(Million/cubic meter)
• —8281 - Number of Main and Internal Oil Pipelines(Number)
• —8282 - Quantities transported through main oil pipelines(1000 metric tons)
• —8283 - Quantities transported in natural gas pipelines(Million/cubic meter)
• —2717 - Quantities transported of crude oil and petroleum products by coastal tankers(1000 metric tons)
• —8285 - Quantities of Kuwaiti crude transported by coastal tankers by tanker(1000 metric tons)
• —8286 - Quantities of crude oil and petroleum products transported by coastal tankers distributed by months of the year(1000 metric tons)
• —2837 - Quantities of petroleum products transported by trucks according to the type of petroleum material(1000 metric tons)
• —8291 - Quantities of petroleum products transported by trucks distributed by months of the year(1000 metric tons)
• —8293 - Quantity of natural gas transported distributed by months of the year(Million/cubic meter)
• —8299 - Lengths of Internal Oil Pipelines(K.m)
• —2955 - Actual transport of petroleum products by railway tankers according to the type of petroleum material(Metric ton)
• —8304 - Distribution of quantities of white petroleum products transported by the Petroleum Pipeline Company according to the type of petroleum product.(1000 metric tons)
• —... 33 more indicators

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-egypt-capmas-means-of-transportation-of-oil-and-gas-material-e8af8828")
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: Means of Transportation of Oil and Gas Material
• —License: Source-specific or other license
• —Retrieved/generated: 2026-08-08T13:12:20Z
• —Hugging Face repo: electricsheepafrica/africa-egypt-capmas-means-of-transportation-of-oil-and-gas-material-e8af8828

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

• —Track supply or price trends
• —Compare energy sources
• —Join with population, industry, or emissions 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_means_of_transportation_of_oil_and_gas_material_e8af8828_2023,
  title        = {Means of Transportation of Oil and Gas Material | 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-means-of-transportation-of-oil-and-gas-material-e8af8828}}
}

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