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electricsheepafrica/africa-uganda-help-seeking-by-type-of-violence-experienced-8e73fbbf

Help Seeking by Type of Violence Experienced | Africa (Uganda Bureau of Statistics) 3 rows - 1 Africa country/area - 2025 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 3 rows from Uganda Bureau of Statistics, covering Help Seeking by Type of Violence Experienced. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. What This Dataset… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-uganda-help-seeking-by-type-of-violence-experienced-8e73fbbf.

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Help Seeking by Type of Violence Experienced | Africa (Uganda Bureau of Statistics)

3 rows - 1 Africa country/area - 2025 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 3 rows from Uganda Bureau of Statistics, covering Help Seeking by Type of Violence Experienced. 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: Help seeking by type of violence experienced - Last Updated on 14th October 2025

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
Rows3
Countries/areas1
First period2025
Last period2025
Indicators0
Columns19
Source formatXLSX

Geographic Coverage

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

AreaRowsFirst yearLast yearName
UGA320252025Uganda

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.ubos-stat-8607454faf8e1c:data:0
country_iso3stringISO3 country or area code.UGA
country_namestringCountry or area name.Uganda
source_sheetstringSource column from the original resource.Data
yearint64Observation year.2025
physical_violence_onlystringSource column from the original resource.Sexual violence only
d_28doubleSource column from the original resource.14.0
d_31doubleSource column from the original resource.15.0
source_period_start_yearint64Start year inferred from source metadata.2025
source_period_end_yearint64End year inferred from source metadata.2025
source_period_labelstringSource column from the original resource.2025
source_providerstringPublishing organization.Uganda Bureau of Statistics
source_datasetstringSource dataset or package title.Help seeking by type of violence experienced
source_resourcestringSource resource title, table name, or file name.Help seeking by type of violence experienced
source_package_idstringSource package identifier.help-seeking-by-type-of-violence-experienced-ubos-stat-8607454faf8e1c
source_resource_idstringSource resource identifier.ubos-stat-8607454faf8e1c
source_urlstringOriginal source URL or download URL.https://www.ubos.org/wp-content/uploads/statistics/Help-seeking-by-ty...
license_idstringSource license identifier.other-open
retrieved_atstringUTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-07-21T21:37:51Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-uganda-help-seeking-by-type-of-violence-experienced-8e73fbbf")
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"] == "UGA"]

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
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_uganda_help_seeking_by_type_of_violence_experienced_8e73fbbf_2025,
  title        = {Help Seeking by Type of Violence Experienced | Africa (Uganda Bureau of Statistics)},
  author       = {Uganda Bureau of Statistics},
  year         = {2025},
  url          = {https://www.ubos.org/explore-statistics/0/},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-uganda-help-seeking-by-type-of-violence-experienced-8e73fbbf}}
}

License

Released under other-open.

Original data is published by Uganda Bureau of Statistics. 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://www.ubos.org/explore-statistics/0/