electricsheepafrica/africa-chad-sahel-humanitarian-needs-overview-231c602d

Sahel Humanitarian Needs Overview | Africa (OCHA West and Central Africa (ROWCA))

28 rows - 1 Africa country/area - 2017 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 28 rows from OCHA West and Central Africa (ROWCA), covering Sahel Humanitarian Needs Overview. 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: HNO 2017 Sahel - Nutrition

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: year.
• Time coverage basis: year.
• Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension	Value
Rows	28
Countries/areas	1
First period	2017
Last period	2017
Indicators	0
Columns	21
Source format	CSV

Geographic Coverage

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

Area	Rows	First year	Last year	Name
TCD	28	2017	2017	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.	2527ac5b-66fe-46f0-8b9b-7086d2c4ddd3:0
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
year	int64	Observation year.	2017
country	string	Source column from the original resource.	#country
nutrition	string	Source column from the original resource.	#sector?
affected_2017	string	Source column from the original resource.	#affected
in_need_2017	string	Source column from the original resource.	#inneed
targeted_2017	string	Source column from the original resource.	#targeted
targeted	double	Source column from the original resource.	``
source_period_start_year	int64	Start year inferred from source metadata.	2017
source_period_end_year	int64	End year inferred from source metadata.	2017
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2017
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	OCHA West and Central Africa (ROWCA)
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	Sahel : Humanitarian Needs Overview
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	HNO -2017 -Sahel-nutrition.csv
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	47f6ef46-500f-421a-9fa2-fefd93facf95
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	2527ac5b-66fe-46f0-8b9b-7086d2c4ddd3
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.humdata.org/dataset/47f6ef46-500f-421a-9fa2-fefd93facf95...
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

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-chad-sahel-humanitarian-needs-overview-231c602d")
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

• 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: OCHA West and Central Africa (ROWCA)
• Publisher: OCHA West and Central Africa (ROWCA)
• Portal: https://data.humdata.org
• Resource: HNO -2017 -Sahel-nutrition.csv
• License: CC BY 4.0
• Retrieved/generated: 2026-08-11T01:29:40Z
• Hugging Face repo: electricsheepafrica/africa-chad-sahel-humanitarian-needs-overview-231c602d

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
• Build time-series views and period-over-period comparisons
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_chad_sahel_humanitarian_needs_overview_231c602d_2017,
  title        = {Sahel Humanitarian Needs Overview | Africa (OCHA West and Central Africa (ROWCA))},
  author       = {OCHA West and Central Africa (ROWCA)},
  year         = {2017},
  url          = {https://data.humdata.org/dataset/sahel-humanitarian-needs-overview},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-chad-sahel-humanitarian-needs-overview-231c602d}}
}

License

Released under CC BY 4.0.

Original data is published by OCHA West and Central Africa (ROWCA). 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 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.humdata.org/dataset/sahel-humanitarian-needs-overview