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electricsheepafrica/africa-nigeria-nigeria-electricity-report-energy-billed-revenue-generated-df8048f3

Nigeria Electricity Report Energy Billed Revenue Generated | Africa (National Bureau of Statistics, Nigeria) 136 rows - 1 Africa country/area - 2024 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 136 rows from National Bureau of Statistics, Nigeria, covering Nigeria Electricity Report Energy Billed Revenue Generated. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-nigeria-electricity-report-energy-billed-revenue-generated-df8048f3.

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Nigeria Electricity Report Energy Billed Revenue Generated | Africa (National Bureau of Statistics, Nigeria)

136 rows - 1 Africa country/area - 2024 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 136 rows from National Bureau of Statistics, Nigeria, covering Nigeria Electricity Report Energy Billed Revenue Generated. 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.

Source-provided context: Document, Report [doc/rep]

How To Read This Dataset

  • —One row means: one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
  • —Primary geography column: country_iso3.
  • —Best time column: year.
  • —Time coverage basis: year.
  • —Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

DimensionValue
Rows136
Countries/areas1
First period2024
Last period2024
Indicators0
Columns165
Source formatZIP

Geographic Coverage

Top areas shown below, sorted by row count when available:

AreaRowsFirst yearLast yearName
NGA13620242024Nigeria

Indicators, Variables, Or Resource Contents

  • —This repo preserves one source tabular resource with its usable columns kept together.

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier assigned during Electric Sheep Africa engineering.nbs-nada-171-1295:electricity-data-2015-q3-2024-xl:0
country_iso3stringISO3 country or area code.NGA
country_namestringCountry or area name.Nigeria
source_sheetstringSource column from the original resource.ELECTRICITY DATA 2015-Q3 2024.xlsx::series
yearint64Observation year.2024
column_1stringSource column from the original resource.DISCOS
2015doubleSource column from the original resource.6251492.0
2015_2doubleSource column from the original resource.6626486.0
2015_3doubleSource column from the original resource.6429825.0
2015_4doubleSource column from the original resource.6471290.0
2015_5doubleSource column from the original resource.6475723.0
2015_6doubleSource column from the original resource.6523375.0
2015_7doubleSource column from the original resource.6592692.0
2015_8doubleSource column from the original resource.6778605.0
2015_9doubleSource column from the original resource.6786722.0
2015_10doubleSource column from the original resource.6940218.0
2015_11doubleSource column from the original resource.6966075.0
2015_12doubleSource column from the original resource.6992879.0
2016doubleSource column from the original resource.6806933.0
2016_2doubleSource column from the original resource.6943838.0
2016_3doubleSource column from the original resource.7009712.0
2016_4doubleSource column from the original resource.6800447.0
2016_5doubleSource column from the original resource.7007487.0
2016_6doubleSource column from the original resource.7178528.0
2016_7doubleSource column from the original resource.7187954.0
2016_8doubleSource column from the original resource.7425817.0
2016_9doubleSource column from the original resource.7509404.0
2016_10doubleSource column from the original resource.7566418.0
2016_11doubleSource column from the original resource.7676660.0
2016_12doubleSource column from the original resource.7348779.0
2017doubleSource column from the original resource.7397003.0
2017_2doubleSource column from the original resource.7467334.0
2017_3doubleSource column from the original resource.7550860.0
2017_4doubleSource column from the original resource.7540141.0
2017_5doubleSource column from the original resource.7599189.0
2017_6doubleSource column from the original resource.7640712.0
2017_7doubleSource column from the original resource.7645643.0
2017_8doubleSource column from the original resource.7680084.0
2017_9doubleSource column from the original resource.7743073.0
2017_10doubleSource column from the original resource.7822316.0
2017_11doubleSource column from the original resource.7879322.0
2017_12doubleSource column from the original resource.7947121.0
2018doubleSource column from the original resource.8081271.0
2018_2doubleSource column from the original resource.8152590.0
2018_3doubleSource column from the original resource.8188105.0
2018_4doubleSource column from the original resource.8213959.0
2018_5doubleSource column from the original resource.8191560.0
2018_6doubleSource column from the original resource.8479159.0
2018_7doubleSource column from the original resource.8491580.0
2018_8doubleSource column from the original resource.8419217.0
2018_9doubleSource column from the original resource.7989431.0
2018_10doubleSource column from the original resource.8542656.0
2018_11doubleSource column from the original resource.8590763.0
2018_12doubleSource column from the original resource.8630540.0
2019doubleSource column from the original resource.8714466.0
2019_2doubleSource column from the original resource.8724011.0
2019_3doubleSource column from the original resource.8869111.0
2019_4doubleSource column from the original resource.8953556.0
2019_5doubleSource column from the original resource.9031795.0
2019_6doubleSource column from the original resource.9070886.0
2019_7doubleSource column from the original resource.9085634.0
2019_8doubleSource column from the original resource.9274458.0
2019_9doubleSource column from the original resource.9341415.0
2019_10doubleSource column from the original resource.9402567.0
2019_11doubleSource column from the original resource.9387832.0
2019_12doubleSource column from the original resource.9554966.0
2020doubleSource column from the original resource.9625058.0
2020_2doubleSource column from the original resource.9695756.0
2020_3doubleSource column from the original resource.9886832.0
2020_4doubleSource column from the original resource.10164431.0
2020_5doubleSource column from the original resource.10217747.0
2020_6doubleSource column from the original resource.10249074.0
2020_7doubleSource column from the original resource.10006307.0
2020_8doubleSource column from the original resource.10053177.0
2020_9doubleSource column from the original resource.10132311.0
2020_10doubleSource column from the original resource.10211865.0
2020_11doubleSource column from the original resource.10284781.0
2020_12doubleSource column from the original resource.10365913.0
2021doubleSource column from the original resource.10398489.0
2021_2doubleSource column from the original resource.10667113.0
2021_3doubleSource column from the original resource.``
2021_4doubleSource column from the original resource.``
2021_5doubleSource column from the original resource.``
2021_6doubleSource column from the original resource.``
2021_7doubleSource column from the original resource.``
2021_8doubleSource column from the original resource.``
2021_9doubleSource column from the original resource.``
2021_10doubleSource column from the original resource.``
2021_11doubleSource column from the original resource.``
2021_12doubleSource column from the original resource.``
2022doubleSource column from the original resource.``
2022_2doubleSource column from the original resource.``
2022_3doubleSource column from the original resource.``
2022_4doubleSource column from the original resource.``
2022_5doubleSource column from the original resource.``
2022_6doubleSource column from the original resource.``
2022_7doubleSource column from the original resource.``
2022_8doubleSource column from the original resource.``
2022_9doubleSource column from the original resource.``
2022_10doubleSource column from the original resource.``
2022_11doubleSource column from the original resource.``
2022_12doubleSource column from the original resource.``
2023doubleSource column from the original resource.``
2023_2doubleSource column from the original resource.``
2023_3doubleSource column from the original resource.``
2023_4doubleSource column from the original resource.``
2023_5doubleSource column from the original resource.``
2023_6doubleSource column from the original resource.``
2023_7doubleSource column from the original resource.``
2023_8doubleSource column from the original resource.``
2023_9doubleSource column from the original resource.``
2023_10doubleSource column from the original resource.``
2023_11doubleSource column from the original resource.``
2023_12doubleSource column from the original resource.``
2024doubleSource column from the original resource.``
2024_2doubleSource column from the original resource.``
2024_3doubleSource column from the original resource.``
2024_4doubleSource column from the original resource.``
2024_5doubleSource column from the original resource.``
2024_6doubleSource column from the original resource.``
2024_7doubleSource column from the original resource.``
2024_8doubleSource column from the original resource.``
2024_9doubleSource column from the original resource.``
q3_2024doubleSource column from the original resource.``
source_period_start_yearint64Start year inferred from source metadata.``
source_period_end_yearint64End year inferred from source metadata.``
source_period_labelstringSource column from the original resource.``
source_providerstringPublishing organization.``
source_datasetstringSource dataset or package title.``
source_resourcestringSource resource title, table name, or file name.``
source_package_idstringSource package identifier.``
source_resource_idstringSource resource identifier.``
source_urlstringOriginal source URL or download URL.``
license_idstringSource license identifier.``
retrieved_atstringUTC source retrieval timestamp from the Electric Sheep Africa pipeline.``
total_customer_numberstringSource column from the original resource.``
q1doubleSource column from the original resource.``
q2doubleSource column from the original resource.``
q3doubleSource column from the original resource.``
q4doubleSource column from the original resource.``
q1_2doubleSource column from the original resource.``
q2_2doubleSource column from the original resource.``
q3_2doubleSource column from the original resource.``
q4_2doubleSource column from the original resource.``
q1_3doubleSource column from the original resource.``
q2_3doubleSource column from the original resource.``
q3_3doubleSource column from the original resource.``
yoy_q3doubleSource column from the original resource.``
yoy_q4doubleSource column from the original resource.``
qoq_q3doubleSource column from the original resource.``
qoq_q4doubleSource column from the original resource.``
yoy_q1doubleSource column from the original resource.``
qoq_q1doubleSource column from the original resource.``
yoy_q2doubleSource column from the original resource.``
qoq_q2doubleSource column from the original resource.``
yoy_q3_2doubleSource column from the original resource.``
qoq_q3_2doubleSource column from the original resource.``
yoy_q4_2doubleSource column from the original resource.``
qoq_q4_2doubleSource column from the original resource.``
yoy_q1_2doubleSource column from the original resource.``
qoq_q1_2doubleSource column from the original resource.``
yoy_q2_2doubleSource column from the original resource.``
qoq_q2_2doubleSource column from the original resource.``
yoy_q3_3doubleSource column from the original resource.``
qoq_q3_3doubleSource column from the original resource.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-nigeria-nigeria-electricity-report-energy-billed-revenue-generated-df8048f3")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

python
print(df.info())
print(df.head())

Filter By Geography

python
if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "NGA"]

Time-Series Pattern

python
if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

python
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

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
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_nigeria_nigeria_electricity_report_energy_billed_revenue_generated_df8048_2024,
  title        = {Nigeria Electricity Report Energy Billed Revenue Generated | Africa (National Bureau of Statistics, Nigeria)},
  author       = {National Bureau of Statistics, Nigeria},
  year         = {2024},
  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/171/related-materials},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-nigeria-electricity-report-energy-billed-revenue-generated-df8048f3}}
}

License

Released under other-open.

Original data is published by National Bureau of Statistics, Nigeria. 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 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://microdata.nigerianstat.gov.ng/index.php/catalog/171/related-materials