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electricsheepafrica/africa-nigeria-national-survey-of-agricultural-export-commodities-2006-6dd4f5eb

National Survey of Agricultural Export Commodities 2006 | Africa (National Bureau of Statitics(NBS)) 300 rows - 1 Africa country/area - 2006 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 300 rows from National Bureau of Statitics(NBS), covering National Survey of Agricultural Export Commodities 2006. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-national-survey-of-agricultural-export-commodities-2006-6dd4f5eb.

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Dataset Card

National Survey of Agricultural Export Commodities 2006 | Africa (National Bureau of Statitics(NBS))

300 rows - 1 Africa country/area - 2006 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 300 rows from National Bureau of Statitics(NBS), covering National Survey of Agricultural Export Commodities 2006. 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: The section contains the Export 2006 Data and Programs folder

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
Rows300
Countries/areas1
First period2006
Last period2006
Indicators0
Columns24
Source formatZIP

Geographic Coverage

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

AreaRowsFirst yearLast yearName
NGA30020062006Nigeria

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-2-218:price-xls-sheet1:0
country_iso3stringISO3 country or area code.NGA
country_namestringCountry or area name.Nigeria
source_sheetstringSource column from the original resource.price.xls::Sheet1
yearint64Observation year.2006
abiastringSource column from the original resource.``
d_1doubleSource column from the original resource.1.0
groundnut_unshelledstringSource column from the original resource.Ginger
d_1061doubleSource column from the original resource.2100.0
source_period_start_yearint64Start year inferred from source metadata.2006
source_period_end_yearint64End year inferred from source metadata.2006
source_period_labelstringSource column from the original resource.2006
source_providerstringPublishing organization.National Bureau of Statitics(NBS)
source_datasetstringSource dataset or package title.National Survey of Agricultural Export Commodities 2006
source_resourcestringSource resource title, table name, or file name.National Survey of Exportable Crop Commodities 2006 Program
source_package_idstringSource package identifier.NGA-NBS-AGREXP-2006-v1.0
source_resource_idstringSource resource identifier.nbs-nada-2-218
source_urlstringOriginal source URL or download URL.https://microdata.nigerianstat.gov.ng/index.php/catalog/2/download/218
license_idstringSource license identifier.other-open
retrieved_atstringUTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-07-19T04:13:01Z
d_69547_74000000018doubleSource column from the original resource.``
d_10718_71doubleSource column from the original resource.``
d_168_25doubleSource column from the original resource.``
d_80434_70000000017doubleSource column from the original resource.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-nigeria-national-survey-of-agricultural-export-commodities-2006-6dd4f5eb")
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 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

bibtex
@misc{electric_sheep_africa_africa_nigeria_national_survey_of_agricultural_export_commodities_2006_6dd4f5eb_2006,
  title        = {National Survey of Agricultural Export Commodities 2006 | Africa (National Bureau of Statitics(NBS))},
  author       = {National Bureau of Statitics(NBS)},
  year         = {2006},
  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/2/related-materials},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-national-survey-of-agricultural-export-commodities-2006-6dd4f5eb}}
}

License

Released under other-open.

Original data is published by National Bureau of Statitics(NBS). 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/2/related-materials