electricsheepafrica/africa-nigeria-selected-food-price-watch-9d07812d

Selected Food Price Watch | Africa (National Bureau of Statistics, Nigeria)

84 rows - 1 Africa country/area - 2025 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 84 rows from National Bureau of Statistics, Nigeria, covering Selected Food Price Watch. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Agriculture datasets help analysts examine production, prices, inputs, land use, food systems, and rural 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

Dimension	Value
Rows	84
Countries/areas	1
First period	2025
Last period	2025
Indicators	0
Columns	30
Source format	ZIP

Geographic Coverage

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

Area	Rows	First year	Last year	Name
NGA	84	2025	2025	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-162-1283:selected-food-table-june-25-xlsx: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.	selected_food_table_June-25.xlsx::Selected Food June 2025
year	int64	Observation year.	2025
item_label	string	Source column from the original resource.	Agric hen eggs,
average_of_june_24	double	Source column from the original resource.	168.51178745247913
average_of_may_25	double	Source column from the original resource.	265.72525010413347
average_of_june_25	double	Source column from the original resource.	268.1321911996009
mom	double	Source column from the original resource.	0.905800669873946
yoy	double	Source column from the original resource.	59.11776573802891
highest	string	Source column from the original resource.	Enugu (374.66)
lowest	string	Source column from the original resource.	Gombe (240)
source_period_start_year	int64	Start year inferred from source metadata.	2025
source_period_end_year	int64	End year inferred from source metadata.	2025
source_period_label	string	Source column from the original resource.	2025
source_provider	string	Publishing organization.	National Bureau of Statistics, Nigeria
source_dataset	string	Source dataset or package title.	Selected Food Price Watch
source_resource	string	Source resource title, table name, or file name.	Selected Food Price Watch June 2025
source_package_id	string	Source package identifier.	NGA-NBS-FOODPW
source_resource_id	string	Source resource identifier.	nbs-nada-162-1283
source_url	string	Original source URL or download URL.	https://microdata.nigerianstat.gov.ng/index.php/catalog/162/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
north_central	double	Source column from the original resource.	``
north_east	double	Source column from the original resource.	``
north_west	double	Source column from the original resource.	``
south_east	double	Source column from the original resource.	``
south_south	double	Source column from the original resource.	``
south_west	double	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-nigeria-selected-food-price-watch-9d07812d")
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: Selected Food Price Watch June 2025
• License: other-open
• Retrieved/generated: 2026-07-19T04:23:41Z
• Hugging Face repo: electricsheepafrica/africa-nigeria-selected-food-price-watch-9d07812d

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 production or price movements
• Compare regions or commodities
• Join with climate and trade 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_selected_food_price_watch_9d07812d_2025,
  title        = {Selected Food Price Watch | Africa (National Bureau of Statistics, Nigeria)},
  author       = {National Bureau of Statistics, Nigeria},
  year         = {2025},
  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/162/related-materials},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-selected-food-price-watch-9d07812d}}
}

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/162/related-materials