electricsheepafrica/africa-south-sudan-south-sudan-ssd-attacks-on-aid-operations-education-health-6c4481c6

South Sudan Ssd Attacks On Aid Operations Education Health | Africa (Insecurity Insight)

188 rows - 1 Africa country/area - 2024-2026 - 3 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 188 rows from Insecurity Insight, covering South Sudan Ssd Attacks On Aid Operations Education Health. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Health datasets help analysts monitor disease burden, service delivery, population health outcomes, and public-health program performance.

Source-provided context: Resource covering 01 January 2020 to 23 March 2026 on publicly-reported incidents of sexual violence perpetrated by conflict actors (CRSV).

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

Geographic Coverage

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

Indicators, Variables, Or Resource Contents

• —south-sudan-ssd-attacks-on-aid-operations-education-health-care-food-and-9d6cb675 - South Sudan (SSD): Attacks on Aid Operations, Education, Health Care, Food and Water Systems, and IDP/Refugee Camps, and Conflict-Related Sexual Violence Incident Data - number of reported victims(sourceunitsunspecified)
• —south-sudan-ssd-attacks-on-aid-operations-education-health-care-food-and-16d1c78a - South Sudan (SSD): Attacks on Aid Operations, Education, Health Care, Food and Water Systems, and IDP/Refugee Camps, and Conflict-Related Sexual Violence Incident Data - reported deaths following the sexual violence(sourceunitsunspecified)
• —south-sudan-ssd-attacks-on-aid-operations-education-health-care-food-and-93690a4f - South Sudan (SSD): Attacks on Aid Operations, Education, Health Care, Food and Water Systems, and IDP/Refugee Camps, and Conflict-Related Sexual Violence Incident Data - sind event id(sourceunitsunspecified)

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-south-sudan-south-sudan-ssd-attacks-on-aid-operations-education-health-6c4481c6")
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"] == "SSD"]

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: Insecurity Insight
• —Publisher: Insecurity Insight
• —Portal: https://data.humdata.org
• —Resource: 2020-2026 SSD Conflict-Related Sexual Violence (CRSV) Incident Data.xlsx
• —License: CC BY-SA 4.0
• —Retrieved/generated: 2026-08-10T18:18:33Z
• —Hugging Face repo: electricsheepafrica/africa-south-sudan-south-sudan-ssd-attacks-on-aid-operations-education-health-6c4481c6

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

• —Compare health outcomes across geographies
• —Track changes over time
• —Join with population or facility data
• —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

@misc{electric_sheep_africa_africa_south_sudan_south_sudan_ssd_attacks_on_aid_operations_education_health_6c_2026,
  title        = {South Sudan Ssd Attacks On Aid Operations Education Health | Africa (Insecurity Insight)},
  author       = {Insecurity Insight},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/south-sudan-attacks-on-civilians-and-vital-civilian-facilities},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-south-sudan-south-sudan-ssd-attacks-on-aid-operations-education-health-6c4481c6}}
}

License

Released under CC BY-SA 4.0.

Original data is published by Insecurity Insight. 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://data.humdata.org/dataset/south-sudan-attacks-on-civilians-and-vital-civilian-facilities