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electricsheepafrica/africa-nigeria-conflict-and-violence-in-nigeria-2017-7995e6d9

Conflict and Violence in Nigeria 2017 | Africa (National Bureau of Statistics (NBS), World Bank) 5,538 rows - 1 Africa country/area - 2017 - 9 indicators - Engineered by Electric Sheep Africa TL;DR This dataset contains 5,538 rows from National Bureau of Statistics (NBS), World Bank, covering Conflict and Violence in Nigeria 2017. 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-conflict-and-violence-in-nigeria-2017-7995e6d9.

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Dataset Card

Conflict and Violence in Nigeria 2017 | Africa (National Bureau of Statistics (NBS), World Bank)

5,538 rows - 1 Africa country/area - 2017 - 9 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 5,538 rows from National Bureau of Statistics (NBS), World Bank, covering Conflict and Violence in Nigeria 2017. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Official statistics datasets help analysts inspect public data as published by governments, national statistical systems, and regional data portals.

Source-provided context: Document, Analytical [doc/anl]

How To Read This Dataset

  • —One row means: one indicator observation for one geography, time period, and optional source dimensions.
  • —Primary geography column: country_iso3.
  • —Best time column: year.
  • —Time coverage basis: year.
  • —Recommended join keys: country_iso3, year, indicator_id.

Coverage

DimensionValue
Rows5,538
Countries/areas1
First period2017
Last period2017
Indicators9
Columns22
Source formatZIP

Geographic Coverage

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

AreaRowsFirst yearLast yearName
NGA5,53820172017Nigeria

Indicators, Variables, Or Resource Contents

  • —conflict-and-violence-in-nigeria-2017-hhid-d88d64e4 - Conflict and Violence in Nigeria 2017 - hhid(sourceunitsunspecified)
  • —conflict-and-violence-in-nigeria-2017-hh-a03-41bc039d - Conflict and Violence in Nigeria 2017 - hh a03(sourceunitsunspecified)
  • —conflict-and-violence-in-nigeria-2017-hh-a05b-cbda3942 - Conflict and Violence in Nigeria 2017 - hh a05b(sourceunitsunspecified)
  • —conflict-and-violence-in-nigeria-2017-hh-a06-905abe08 - Conflict and Violence in Nigeria 2017 - hh a06(sourceunitsunspecified)
  • —conflict-and-violence-in-nigeria-2017-hh-a07-d89f940c - Conflict and Violence in Nigeria 2017 - hh a07(sourceunitsunspecified)
  • —conflict-and-violence-in-nigeria-2017-uidea2-80d11e74 - Conflict and Violence in Nigeria 2017 - uidea2(sourceunitsunspecified)
  • —conflict-and-violence-in-nigeria-2017-stratum-4420bd1d - Conflict and Violence in Nigeria 2017 - stratum(sourceunitsunspecified)
  • —conflict-and-violence-in-nigeria-2017-wt-phone-calib-26e5f327 - Conflict and Violence in Nigeria 2017 - wt phone calib(sourceunitsunspecified)
  • —conflict-and-violence-in-nigeria-2017-uidea3-b246100c - Conflict and Violence in Nigeria 2017 - uidea3(sourceunitsunspecified)

Schema

ColumnTypeDescriptionExample
indicator_idstringStable source or Electric Sheep Africa indicator identifier.conflict-and-violence-in-nigeria-2017-hhid-d88d64e4
indicator_namestringHuman-readable indicator name.Conflict and Violence in Nigeria 2017 - hhid
country_iso3stringISO3 country or area code.NGA
source_sheetstringSource column from the original resource.wt_NC.xls::Sheet1
country_namestringCountry or area name.Nigeria
yearint64Observation year.2017
valuedoubleNumeric observation value.70031.0
unitstringMeasurement unit, when supplied by the source.source_units_unspecified
dimension_hh_a02stringSource dimension retained during long-form normalization.Benue
dimension_hh_a01stringSource dimension retained during long-form normalization.North Central
source_period_start_yearint64Start year inferred from source metadata.2017
source_period_end_yearint64End year inferred from source metadata.2017
source_period_labelstringSource column from the original resource.2017
source_providerstringPublishing organization.National Bureau of Statistics (NBS), World Bank
source_datasetstringSource dataset or package title.Conflict and Violence in Nigeria 2017
source_resourcestringSource resource title, table name, or file name.Weight
source_package_idstringSource package identifier.NGA-NBS-CVN-2017-v1.0
source_resource_idstringSource resource identifier.nbs-nada-55-515
source_urlstringOriginal source URL or download URL.https://microdata.nigerianstat.gov.ng/index.php/catalog/55/download/515
license_idstringSource license identifier.other-open
retrieved_atstringUTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-07-19T04:13:01Z
dimension_hh_a03stringSource dimension retained during long-form normalization.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-nigeria-conflict-and-violence-in-nigeria-2017-7995e6d9")
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

  • —Profile the distribution of values
  • —Compare categories or geographies
  • —Join with complementary public datasets
  • —Build time-series views and period-over-period comparisons
  • —Pivot to geography x period or indicator x period matrices
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_nigeria_conflict_and_violence_in_nigeria_2017_7995e6d9_2017,
  title        = {Conflict and Violence in Nigeria 2017 | Africa (National Bureau of Statistics (NBS), World Bank)},
  author       = {National Bureau of Statistics (NBS), World Bank},
  year         = {2017},
  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/55/related-materials},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-conflict-and-violence-in-nigeria-2017-7995e6d9}}
}

License

Released under other-open.

Original data is published by National Bureau of Statistics (NBS), World Bank. 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/55/related-materials