electricsheepafrica/africa-south-sudan-south-sudan-ssd-attacks-on-aid-operations-education-health-0592c796

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

8 rows - 1 Africa country/area - 2026 - 3 indicators - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 8 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 2024 to 01 May 2026 on conflict-incidents affected water systems based on agency- and open source events.

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

Dimension	Value
Rows	8
Countries/areas	1
First period	2026
Last period	2026
Indicators	3
Columns	31
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
SSD	8	2026	2026	South Sudan

Indicators, Variables, Or Resource Contents

• south-sudan-ssd-attacks-on-aid-operations-education-health-care-food-and-ea832139 - 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 attacks damaging destroying water infrastructu(source_units_unspecified)
• south-sudan-ssd-attacks-on-aid-operations-education-health-care-food-and-0831d85a - 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 attacks where water infrastructure was obstruc(source_units_unspecified)
• south-sudan-ssd-attacks-on-aid-operations-education-health-care-food-and-0120df2c - 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(source_units_unspecified)

Schema

Column	Type	Description	Example
indicator_id	string	Stable source or Electric Sheep Africa indicator identifier.	south-sudan-ssd-attacks-on-aid-operations-education-health-care-food-...
indicator_name	string	Human-readable indicator name.	South Sudan (SSD): Attacks on Aid Operations, Education, Health Care,...
country_iso3	string	ISO3 country or area code.	SSD
source_sheet	string	Source column from the original resource.	Sheet1
country_name	string	Country or area name.	South Sudan
year	int64	Observation year.	2026
value	double	Numeric observation value.	1.0
unit	string	Measurement unit, when supplied by the source.	source_units_unspecified
dimension_date	string	Source dimension retained during long-form normalization.	2025-01-05 00:00:00
dimension_country	string	Source dimension retained during long-form normalization.	South Sudan
dimension_country_iso	string	Source dimension retained during long-form normalization.	SSD
dimension_admin_1	string	Source dimension retained during long-form normalization.	Northern Bahr el Ghazal
dimension_geo_precision	string	Source dimension retained during long-form normalization.	censored
dimension_reported_perpetrator	string	Source dimension retained during long-form normalization.	No Information
dimension_reported_perpetrator_name	string	Source dimension retained during long-form normalization.	Unidentified Armed Actor
dimension_weapon_carried_used	string	Source dimension retained during long-form normalization.	Hand Grenade
dimension_water_infrastructure_category_affected	string	Source dimension retained during long-form normalization.	Collection (End-User)
dimension_attacks_on_persons_collecting_water	string	Source dimension retained during long-form normalization.	Yes
dimension_number_of_incidents_affecting_water_related_ai	string	Source dimension retained during long-form normalization.	``
dimension_date_event_entered	string	Source dimension retained during long-form normalization.	2025-08-28 00:00:00
source_period_start_year	int64	Start year inferred from source metadata.	2024
source_period_end_year	int64	End year inferred from source metadata.	2026
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2024-2026
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	Insecurity Insight
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	South Sudan (SSD): Attacks on Aid Operations, Education, Health Care,...
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	2025-2026 SSD Conflict-Related Incidents Affecting Water Systems Inci...
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	e1861491-f2c3-4eb2-b7a1-0391520b5b50
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	ebd5c396-431a-4922-9325-a305c3803ce7
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.humdata.org/dataset/e1861491-f2c3-4eb2-b7a1-0391520b5b50...
license_id	dictionary<values=string, indices=int8, ordered=0>	Source license identifier.	cc-by-sa
retrieved_at	dictionary<values=string, indices=int8, ordered=0>	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-08-10T18:18:23Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-south-sudan-south-sudan-ssd-attacks-on-aid-operations-education-health-0592c796")
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: 2025-2026 SSD Conflict-Related Incidents Affecting Water Systems Incident Data.xlsx
• License: CC BY-SA 4.0
• Retrieved/generated: 2026-08-10T18:18:34Z
• Hugging Face repo: electricsheepafrica/africa-south-sudan-south-sudan-ssd-attacks-on-aid-operations-education-health-0592c796

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_05_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-0592c796}}
}

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.

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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