electricsheepafrica/africa-chad-interagency-response-plans-d216c19a

Interagency Response Plans | Africa (HDX)

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

TL;DR

This dataset contains 40 rows from HDX, covering Interagency Response Plans. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Demographic datasets help analysts understand population structure, household conditions, migration, gender, age, and settlement patterns.

Source-provided context: People in Need, People Targeted and Requirements

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	40
Countries/areas	1
First period	2024
Last period	2024
Indicators	0
Columns	25
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
TCD	40	2024	2024	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.	ebd4ee3e-645a-46d4-81d8-113d4ebccd78:meta-data: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.	Meta data
year	int64	Observation year.	2024
page	string	Source column from the original resource.	Export of
humanitarian_action_2024	string	Source column from the original resource.	Plan table
source_period_start_year	int64	Start year inferred from source metadata.	2024
source_period_end_year	int64	End year inferred from source metadata.	2024
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2024
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.	Interagency Response Plans
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Interagency Response Plans in 2024
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	c14e2503-5fe1-4873-90a3-90e8d9295ce8
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	ebd4ee3e-645a-46d4-81d8-113d4ebccd78
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.humdata.org/dataset/c14e2503-5fe1-4873-90a3-90e8d9295ce8...
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
plans	string	Source column from the original resource.	``
plan_type	string	Source column from the original resource.	``
people_in_need	double	Source column from the original resource.	``
people_targeted	double	Source column from the original resource.	``
requirements	double	Source column from the original resource.	``
status	string	Source column from the original resource.	``
document	string	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-chad-interagency-response-plans-d216c19a")
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: HDX
• Publisher: HDX
• Portal: https://data.humdata.org
• Resource: Interagency Response Plans in 2024
• License: CC BY 4.0
• Retrieved/generated: 2026-08-11T00:13:48Z
• Hugging Face repo: electricsheepafrica/africa-chad-interagency-response-plans-d216c19a

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

• Build demographic profiles
• Normalize indicators per capita
• Join with service-delivery 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_interagency_response_plans_d216c19a_2024,
  title        = {Interagency Response Plans | Africa (HDX)},
  author       = {HDX},
  year         = {2024},
  url          = {https://data.humdata.org/dataset/interagency-response-plans},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-chad-interagency-response-plans-d216c19a}}
}

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/interagency-response-plans