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electricsheepafrica/africa-south-sudan-south-sudan-ssd-attacks-on-aid-operations-education-health-5c15ac8a

South Sudan Ssd Attacks On Aid Operations Education Health | Africa (Insecurity Insight) 154 rows - 1 Africa country/area - 2025-2026 - 7 indicators - Engineered by Electric Sheep Africa TL;DR This dataset contains 154 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.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-south-sudan-south-sudan-ssd-attacks-on-aid-operations-education-health-5c15ac8a.

sourceHugging Facecc-by-sa-4.0updated 2mo agoView on Hugging Face
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South Sudan Ssd Attacks On Aid Operations Education Health | Africa (Insecurity Insight)

154 rows - 1 Africa country/area - 2025-2026 - 7 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 154 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 05 April 2026 on incidents in which aid access, education and healthcare services were impacted by explosive weapons 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

DimensionValue
Rows154
Countries/areas1
First period2025
Last period2026
Indicators7
Columns34
Source formatXLSX

Geographic Coverage

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

AreaRowsFirst yearLast yearName
SSD15420252026South Sudan

Indicators, Variables, Or Resource Contents

  • —south-sudan-ssd-attacks-on-aid-operations-education-health-care-food-and-b7f5a7e6 - 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 - aid infrastructure damaged destroyed(sourceunitsunspecified)
  • —south-sudan-ssd-attacks-on-aid-operations-education-health-care-food-and-27789d32 - 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 - health infrastructure damaged destroyed(sourceunitsunspecified)
  • —south-sudan-ssd-attacks-on-aid-operations-education-health-care-food-and-73c3c9de - 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 - education infrastructure damaged destroyed(sourceunitsunspecified)
  • —south-sudan-ssd-attacks-on-aid-operations-education-health-care-food-and-430ecc08 - 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 - idp refugee camp building(sourceunitsunspecified)
  • —south-sudan-ssd-attacks-on-aid-operations-education-health-care-food-and-b8f41288 - 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 - aid workers killed(sourceunitsunspecified)
  • —south-sudan-ssd-attacks-on-aid-operations-education-health-care-food-and-9c9a1855 - 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 - aid health workers killed(sourceunitsunspecified)
  • —south-sudan-ssd-attacks-on-aid-operations-education-health-care-food-and-99da689b - 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

ColumnTypeDescriptionExample
indicator_idstringStable source or Electric Sheep Africa indicator identifier.south-sudan-ssd-attacks-on-aid-operations-education-health-care-food-...
indicator_namestringHuman-readable indicator name.South Sudan (SSD): Attacks on Aid Operations, Education, Health Care,...
country_iso3stringISO3 country or area code.SSD
source_sheetstringSource column from the original resource.Sheet1
country_namestringCountry or area name.South Sudan
yearint64Observation year.2026
valuedoubleNumeric observation value.0.0
unitstringMeasurement unit, when supplied by the source.source_units_unspecified
dimension_datestringSource dimension retained during long-form normalization.2026-04-05 00:00:00
dimension_countrystringSource dimension retained during long-form normalization.South Sudan
dimension_country_isostringSource dimension retained during long-form normalization.SSD
dimension_admin_1stringSource dimension retained during long-form normalization.Upper Nile
dimension_geo_precisionstringSource dimension retained during long-form normalization.censored
dimension_sector_affectedstringSource dimension retained during long-form normalization.Food Systems
dimension_providerstringSource dimension retained during long-form normalization.Not Applicable
dimension_launch_typestringSource dimension retained during long-form normalization.UXO
dimension_explosive_weapon_typestringSource dimension retained during long-form normalization.UXO
dimension_reported_perpetratorstringSource dimension retained during long-form normalization.NSA
dimension_reported_perpetrator_namestringSource dimension retained during long-form normalization.Unidentified Armed Actor
dimension_affectedstringSource dimension retained during long-form normalization.Other
dimension_food_systems_damaged_destroyedstringSource dimension retained during long-form normalization.Other
dimension_water_systems_damaged_destroyedstringSource dimension retained during long-form normalization.``
dimension_date_event_enteredstringSource dimension retained during long-form normalization.2026-04-23 00:00:00
source_period_start_yearint64Start year inferred from source metadata.2020
source_period_end_yearint64End year inferred from source metadata.2026
source_period_labeldictionary<values=string, indices=int8, ordered=0>Source column from the original resource.2020-2026
source_providerdictionary<values=string, indices=int8, ordered=0>Publishing organization.Insecurity Insight
source_datasetdictionary<values=string, indices=int8, ordered=0>Source dataset or package title.South Sudan (SSD): Attacks on Aid Operations, Education, Health Care,...
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.2020-2026 SSD Explosive Weapons Incident Data.xlsx
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.e1861491-f2c3-4eb2-b7a1-0391520b5b50
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.c3d3d28e-9213-49ef-b388-5e25ac6d3940
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://data.humdata.org/dataset/e1861491-f2c3-4eb2-b7a1-0391520b5b50...
license_iddictionary<values=string, indices=int8, ordered=0>Source license identifier.cc-by-sa
retrieved_atdictionary<values=string, indices=int8, ordered=0>UTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-08-10T18:18:23Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-south-sudan-south-sudan-ssd-attacks-on-aid-operations-education-health-5c15ac8a")
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"] == "SSD"]

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

  • —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

bibtex
@misc{electric_sheep_africa_africa_south_sudan_south_sudan_ssd_attacks_on_aid_operations_education_health_5c_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-5c15ac8a}}
}

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