electricsheepafrica/africa-chad-chad-acute-malnutrition-59eeb0ab

Chad Acute Malnutrition | Africa (HDX)

42 rows - 1 Africa country/area - 2025-2026 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 42 rows from HDX, covering Chad 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: An estimated 2 million children aged 6–59 months are suffering or expected to suffer acute malnutrition in Chad between October 2025 and September 2026, including nearly 484,000 children expected to suffer severe acute malnutrition. More than 219,000 pregnant or breastfeeding women are likely to suffer acute malnutrition during the same period. The national nutrition situation is expected to remain at similar levels to the previous year with a variation of less than 5 percent.

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	42
Countries/areas	1
First period	2025
Last period	2026
Indicators	0
Columns	27
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
TCD	42	n/a	n/a	Chad

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.	e519ec9c-7b1f-4cd0-bcd9-7c1a2941c2f3:population-locale:0
country_iso3	dictionary<values=string, indices=int8, ordered=0>	ISO3 country or area code.	TCD
country_name	dictionary<values=string, indices=int8, ordered=0>	Country or area name.	Chad
source_sheet	string	Source column from the original resource.	Population_Locale
province	string	Source column from the original resource.	Barh El Gazel
population_6_59_mois_2026	double	Source column from the original resource.	86073.0
mas_2026	double	Source column from the original resource.	5887.0
mam_2026	double	Source column from the original resource.	32536.0
mag_2026	double	Source column from the original resource.	38423.0
population_fefa_2026	double	Source column from the original resource.	45784.0
mag_fefa_2026	double	Source column from the original resource.	4578.0
source_period_start_year	int64	Start year inferred from source metadata.	2025
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.	2025-2026
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.	Chad: Acute Malnutrition
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	IPC_Chad_Malnutrition_Oct2025_Sep2026
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	3abcd97a-59ac-4f14-b0ba-e62747bb2e21
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	e519ec9c-7b1f-4cd0-bcd9-7c1a2941c2f3
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.humdata.org/dataset/3abcd97a-59ac-4f14-b0ba-e62747bb2e21...
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.	2026-08-10T22:51:43Z
type	string	Source column from the original resource.	``
mas	double	Source column from the original resource.	``
mam	double	Source column from the original resource.	``
mag	double	Source column from the original resource.	``
fefa	double	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-chad-chad-acute-malnutrition-59eeb0ab")
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"] == "TCD"]

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: IPC_Chad_Malnutrition_Oct2025_Sep2026
• License: CC BY 4.0
• Retrieved/generated: 2026-08-10T23:39:05Z
• Hugging Face repo: electricsheepafrica/africa-chad-chad-acute-malnutrition-59eeb0ab

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_chad_chad_acute_malnutrition_59eeb0ab_2026,
  title        = {Chad Acute Malnutrition | Africa (HDX)},
  author       = {HDX},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/chad-acute-malnutrition},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-chad-chad-acute-malnutrition-59eeb0ab}}
}

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 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.humdata.org/dataset/chad-acute-malnutrition