lucyi-morn's picture
Add ML-ready official indicator dataset
0512dbd verified
|
Raw
History Blame Contribute Delete
6.24 kB
metadata
license: other
language:
  - en
task_categories:
  - tabular-classification
  - tabular-regression
multilinguality: monolingual
size_categories:
  - n<1K
tags:
  - tabular
  - zip
  - africa
  - nigeria
  - official-statistics
  - open-data
  - economics
pretty_name: Automotive Gas Oil (Diesel) Price Watch | Africa (Nigeria official open data)

Automotive Gas Oil (Diesel) Price Watch | Africa (Nigeria official open data)

86 rows - 1 Africa country - 2025 - Repackaged by Electric Sheep Africa

rows countries years indicators license

TL;DR

This dataset packages one official ZIP resource from Nigeria 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

Geographic coverage

1 Africa country:

Country Rows First year Last year Name
NGA 86 2025 2025 Nigeria

Indicators or Resource Contents

  • This source file is packaged as a normalized tabular resource.

Schema

Column Type Description Example
source_record_id string Stable row identifier for tabular resources. nbs-nada-158-1359:diesel-september-2025-xlsx-sheet:0
country_iso3 string ISO3 country code. NGA
country_name string Country name. Nigeria
source_sheet string Workbook sheet name, when the source is a spreadsheet. DIESEL_SEPTEMBER_2025.xlsx::Sheet1
year Int64 Observation year. 2025
north_central string Source column. Abuja
d_1400_0523728005198 float64 Source column. 1262.25
d_1597_4023937650943 float64 Source column. 1510.93833333333
d_1297_6196512775846 float64 Source column. 1283.81808333333
d_6_844969722316563 float64 Source column. 1.7087013930148485
d_18_288596907608138 float64 Source column. -15.03173524619915
south_east string Source column. North Central
d_1275_408951107716 float64 Source column. 1297.6196512775846
source_period_start_year Int64 First year inferred from source resource metadata. 2025
source_period_end_year Int64 Last year inferred from source resource metadata. 2025
source_period_label string Human-readable period inferred from source resource metadata. 2025
source_provider string Publishing organization. National Bureau of Statistics, Nigeria
source_dataset string Source package title. Automotive Gas Oil (Diesel) Price Watch
source_resource string Source resource title. AGO Report August-September 2025
source_package_id string CKAN package UUID. NGA-NBS-AGO
source_resource_id string CKAN resource UUID. nbs-nada-158-1359
source_url string Original source resource URL. https://microdata.nigerianstat.gov.ng/index.php/catalog/158/download/135
license_id string Source license identifier. other-open
retrieved_at string UTC retrieval timestamp. 2026-07-19T04:13:01Z
d_1357_0713808505168 float64 Source column. ``
d_1873_9397274861299 float64 Source column. ``
d_17_537790336282487 float64 Source column. ``
d_14_214638944716171 float64 Source column. ``
d_1539_9788357524822 float64 Source column. ``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-nigeria-automotive-gas-oil-diesel-price-watch-067ab651")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "NGA"]

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_nigeria_automotive_gas_oil_diesel_price_watch_067ab651_2025,
  title        = {Automotive Gas Oil (Diesel) Price Watch | Africa (Nigeria official open data)},
  author       = {National Bureau of Statistics, Nigeria},
  year         = {2025},
  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/158/related-materials},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-automotive-gas-oil-diesel-price-watch-067ab651}}
}

License

Released under Other open license.

Original data (c) National Bureau of Statistics, Nigeria. 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


Provenance: ingested 2026-07-19 via the Electric Sheep pipeline. Source URL: https://microdata.nigerianstat.gov.ng/index.php/catalog/158/download/1359