electricsheepafrica/africa-south-sudan-south-sudan-acute-malnutrition-2c118473

South Sudan Acute Malnutrition | Africa (HDX)

12 rows - 1 Africa country/area - 2024-2025 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 12 rows from HDX, covering South Sudan Acute Malnutrition. 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: Summary of SAM, MAM, and GAM caseloads by state between July 2024 projected to June 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: not detected.
• Time coverage basis: source metadata.
• Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension	Value
Rows	12
Countries/areas	1
First period	2024
Last period	2025
Indicators	0
Columns	20
Source format	CSV

Geographic Coverage

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

Area	Rows	First year	Last year	Name
SSD	12	2024	2025	South Sudan

Indicators, Variables, Or Resource Contents

• This repo preserves one source tabular resource with its usable columns kept together.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier assigned during Electric Sheep Africa engineering.	627560a0-86ca-4391-97cc-e47d453f9485:0
country_iso3	dictionary<values=string, indices=int8, ordered=0>	ISO3 country or area code.	SSD
country_name	dictionary<values=string, indices=int8, ordered=0>	Country or area name.	South Sudan
unnamed_0	string	Source column from the original resource.	State
unnamed_1	double	Source column from the original resource.	``
number_of_children_6_59_months_in	double	Source column from the original resource.	``
unnamed_3	double	Source column from the original resource.	``
unnamed_4	double	Source column from the original resource.	``
unnamed_5	double	Source column from the original resource.	``
source_period_start_year	int64	Start year inferred from source metadata.	2024
source_period_end_year	int64	End year inferred from source metadata.	2025
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2024-2025
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	HDX
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	South Sudan : Acute Malnutrition
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	South Sudan Acute malnutrion .csv
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	e8cf0720-45d4-4f7a-b1a4-b2b602c8f655
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	627560a0-86ca-4391-97cc-e47d453f9485
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.humdata.org/dataset/e8cf0720-45d4-4f7a-b1a4-b2b602c8f655...
license_id	dictionary<values=string, indices=int8, ordered=0>	Source license identifier.	cc-by
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-acute-malnutrition-2c118473")
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

• No canonical year/date column was detected in the packaged table; use source metadata and domain context for temporal interpretation.
• 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: HDX
• Publisher: HDX
• Portal: https://data.humdata.org
• Resource: South Sudan Acute malnutrion .csv
• License: CC BY 4.0
• Retrieved/generated: 2026-08-10T18:59:11Z
• Hugging Face repo: electricsheepafrica/africa-south-sudan-south-sudan-acute-malnutrition-2c118473

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
• 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_acute_malnutrition_2c118473_2025,
  title        = {South Sudan Acute Malnutrition | Africa (HDX)},
  author       = {HDX},
  year         = {2025},
  url          = {https://data.humdata.org/dataset/south-sudan-acute-malnutrition},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-south-sudan-south-sudan-acute-malnutrition-2c118473}}
}

License

Released under CC BY 4.0.

Original data is published by HDX. 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-acute-malnutrition