electricsheepafrica/africa-djibouti-african-regional-energy-statistics-2014-cda1a78f

African Regional Energy Statistics, 2014 | Africa (Djibouti official open data)

51,051 rows - 1 Africa country - 2000-2014 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Djibouti as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

• Source: African Regional Energy Statistics, 2014
• Publisher: African Development Bank Group (inactive)
• Resource: African Regional Energy Statistics, 2014.xlsx
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
DJI	51,051	2000	2014	Djibouti

Indicators or Resource Contents

• african-regional-energy-statistics-2014-indicator-a4be342c - African Regional Energy Statistics, 2014 - indicator
• african-regional-energy-statistics-2014-region-03da8d83 - African Regional Energy Statistics, 2014 - region
• african-regional-energy-statistics-2014-value-8e7bf1cf - African Regional Energy Statistics, 2014 - value

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	african-regional-energy-statistics-2014-indicator-a4be342c
indicator_name	string	Human-readable indicator name.	African Regional Energy Statistics, 2014 - indicator
country_iso3	string	ISO3 country code.	DJI
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Sheet1
country_name	string	Country name.	Djibouti
year	Int64	Observation year.	2006
value	float64	Numeric observation value.	102.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_indicatorname	string	Source dimension.	Final Consumption of coking coal, 1000 tonnes
dimension_regionname	string	Source dimension.	Ethiopia
dimension_unit	string	Source dimension.	thousand tonnes
source_period_start_year	Int64	First year inferred from source resource metadata.	2014
source_period_end_year	Int64	Last year inferred from source resource metadata.	2014
source_period_label	category	Human-readable period inferred from source resource metadata.	2014
source_provider	category	Publishing organization.	African Development Bank Group (inactive)
source_dataset	category	Source package title.	African Regional Energy Statistics, 2014
source_resource	category	Source resource title.	African Regional Energy Statistics, 2014.xlsx
source_package_id	category	CKAN package UUID.	7e7a0724-2959-4239-aa0d-6d5bf61f07f9
source_resource_id	category	CKAN resource UUID.	8baa395b-4c44-47b6-ba95-193b50ec3ef1
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/7e7a0724-2959-4239-aa0d-6d5bf61f07f9/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-16T10:32:57Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-djibouti-african-regional-energy-statistics-2014-cda1a78f")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "DJI"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_djibouti_african_regional_energy_statistics_2014_cda1a78f_2014,
  title        = {African Regional Energy Statistics, 2014 | Africa (Djibouti official open data)},
  author       = {African Development Bank Group (inactive)},
  year         = {2014},
  url          = {https://data.humdata.org/dataset/african-regional-energy-statistics-2014},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-djibouti-african-regional-energy-statistics-2014-cda1a78f}}
}

License

Released under CC BY 4.0.

Original data (c) African Development Bank Group (inactive). When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepafrica

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Provenance: ingested 2026-08-16 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/7e7a0724-2959-4239-aa0d-6d5bf61f07f9/resource/8baa395b-4c44-47b6-ba95-193b50ec3ef1/download/african-regional-energy-statistics-2014.xlsx