electricsheepafrica/africa-nigeria-commodity-price-indices-and-terms-of-trade-5e023c0f

Commodity Price Indices and Terms of Trade | Africa (National Bureau of Statistics, Nigeria)

150 rows - 1 Africa country/area - 2024 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 150 rows from National Bureau of Statistics, Nigeria, covering Commodity Price Indices and Terms of Trade. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Economic datasets help analysts examine production, prices, public finance, trade flows, market conditions, and macroeconomic change.

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

Dimension	Value
Rows	150
Countries/areas	1
First period	2024
Last period	2024
Indicators	0
Columns	48
Source format	ZIP

Geographic Coverage

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

Area	Rows	First year	Last year	Name
NGA	150	2024	2024	Nigeria

Indicators, Variables, Or Resource Contents

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

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier assigned during Electric Sheep Africa engineering.	nbs-nada-167-1272:q4-2024-commodity-price-indices:0
country_iso3	string	ISO3 country or area code.	NGA
country_name	string	Country or area name.	Nigeria
source_sheet	string	Source column from the original resource.	Q4_2024_Commodity_Price_Indices_and_Terms_of_Trade_Tables.xlsx::Table1
year	int64	Observation year.	2024
live_animals_animal_products	string	Source column from the original resource.	Vegetable products
d_100	double	Source column from the original resource.	100.0
d_112_400626092163	double	Source column from the original resource.	111.32660026584428
d_112_41764344894226	double	Source column from the original resource.	111.77822685944754
d_112_615180916617	double	Source column from the original resource.	111.65991900661872
d_0_015139912802006713	double	Source column from the original resource.	0.4056771629824153
d_0_17571749559442296	double	Source column from the original resource.	-0.1058415902209629
source_period_start_year	int64	Start year inferred from source metadata.	2024
source_period_end_year	int64	End year inferred from source metadata.	2024
source_period_label	string	Source column from the original resource.	2024
source_provider	string	Publishing organization.	National Bureau of Statistics, Nigeria
source_dataset	string	Source dataset or package title.	Commodity Price Indices and Terms of Trade
source_resource	string	Source resource title, table name, or file name.	Q4 2024 Commodity Price Indices and Terms of Trade
source_package_id	string	Source package identifier.	NGA-NBS-TOT
source_resource_id	string	Source resource identifier.	nbs-nada-167-1272
source_url	string	Original source URL or download URL.	https://microdata.nigerianstat.gov.ng/index.php/catalog/167/download/...
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-07-19T04:13:01Z
d_104_045886144583	double	Source column from the original resource.	``
d_104_412385631892	double	Source column from the original resource.	``
d_104_560032088203	double	Source column from the original resource.	``
d_0_3522479368378956	double	Source column from the original resource.	``
d_0_1414070327169222	double	Source column from the original resource.	``
commodity_group	string	Source column from the original resource.	``
jan_2018	double	Source column from the original resource.	``
oct_2024	double	Source column from the original resource.	``
nov_2024	double	Source column from the original resource.	``
dec_2024	double	Source column from the original resource.	``
nov_2024_2	double	Source column from the original resource.	``
dec_2024_2	double	Source column from the original resource.	``
africa	string	Source column from the original resource.	``
d_103_368628882031	double	Source column from the original resource.	``
d_103_438608024072	double	Source column from the original resource.	``
d_103_463953749815	double	Source column from the original resource.	``
d_0_06769862655415088	double	Source column from the original resource.	``
d_0_02450315817969063	double	Source column from the original resource.	``
region	string	Source column from the original resource.	``
product_code	string	Source column from the original resource.	``
product_description	string	Source column from the original resource.	``
value_n	string	Source column from the original resource.	``
product_code_2	string	Source column from the original resource.	``
product_description_2	string	Source column from the original resource.	``
value_n_2	string	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-nigeria-commodity-price-indices-and-terms-of-trade-5e023c0f")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

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

Filter By Geography

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

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: National Bureau of Statistics, Nigeria
• Publisher: National Bureau of Statistics, Nigeria
• Portal: https://microdata.nigerianstat.gov.ng
• Resource: Q4 2024 Commodity Price Indices and Terms of Trade
• License: other-open
• Retrieved/generated: 2026-07-19T04:13:43Z
• Hugging Face repo: electricsheepafrica/africa-nigeria-commodity-price-indices-and-terms-of-trade-5e023c0f

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

• Build time-series dashboards
• Compare economic indicators
• Join with population or sector 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

@misc{electric_sheep_africa_africa_nigeria_commodity_price_indices_and_terms_of_trade_5e023c0f_2024,
  title        = {Commodity Price Indices and Terms of Trade | Africa (National Bureau of Statistics, Nigeria)},
  author       = {National Bureau of Statistics, Nigeria},
  year         = {2024},
  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/167/related-materials},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-commodity-price-indices-and-terms-of-trade-5e023c0f}}
}

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.

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Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://microdata.nigerianstat.gov.ng/index.php/catalog/167/related-materials