electricsheepafrica/africa-chad-humanitarian-access-indicators-76b51a6d

Humanitarian Access Indicators | Africa (HDX)

63 rows - 1 Africa country/area - 1970-01-01 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 63 rows from HDX, covering Humanitarian Access Indicators. 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: Data on access constraints, aid workers security, % of affected CERF and CBPF projects combined with the status of Polio vaccination in the HRP countries.

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

Coverage

Dimension	Value
Rows	63
Countries/areas	1
First period	1970-01-01
Last period	1970-01-01
Indicators	0
Columns	28
Source format	CSV

Geographic Coverage

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

Area	Rows	First year	Last year	Name
TCD	63	1970-01-01	1970-01-01	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.	8f3f7548-3feb-43e1-b9f3-780332eb0e67:0
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
iso_code	string	Source column from the original resource.	#country+code
country	string	Source column from the original resource.	#country+name
of_visas_pending_or_denied	double	Source column from the original resource.	``
of_travel_authorizations_or_movements_denied	double	Source column from the original resource.	``
number_of_incidents_reported_in_previous_year	double	Source column from the original resource.	``
number_of_incidents_reported_since_start_of_year	double	Source column from the original resource.	``
number_of_incidents_reported_since_start_of_previous_yea	double	Source column from the original resource.	``
of_cerf_projects_affected_by_insecurity_and_inaccessibil	double	Source column from the original resource.	``
of_cbpf_projects_affected_by_insecurity_and_inaccessibil	double	Source column from the original resource.	``
campaign_vaccine	string	Source column from the original resource.	#service+name
campaign_vaccine_status	string	Source column from the original resource.	#status+name
campaign_vaccine_1	string	Source column from the original resource.	#service+name
campaign_vaccine_status_1	string	Source column from the original resource.	#status+name
number_of_learners_enrolled_from_pre_primary_to_tertiary	double	Source column from the original resource.	``
source_period_start_year	int64	Start year inferred from source metadata.	``
source_period_end_year	int64	End year inferred from source metadata.	``
source_period_label	string	Source column from the original resource.	``
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.	Humanitarian Access Indicators
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Access Indicators
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	81ec32c0-06b8-4fe8-a0e4-34a740b189fd
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	8f3f7548-3feb-43e1-b9f3-780332eb0e67
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://docs.google.com/spreadsheets/d/e/2PACX-1vRSzJzuyVt9i_mkRQ2Hbx...
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-humanitarian-access-indicators-76b51a6d")
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 "number_of_incidents_reported_in_previous_year" in df.columns:
    trend = df.sort_values("number_of_incidents_reported_in_previous_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: number_of_incidents_reported_in_previous_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: Access Indicators
• License: CC BY 4.0
• Retrieved/generated: 2026-08-11T00:13:10Z
• Hugging Face repo: electricsheepafrica/africa-chad-humanitarian-access-indicators-76b51a6d

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
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_chad_humanitarian_access_indicators_76b51a6d_1970,
  title        = {Humanitarian Access Indicators | Africa (HDX)},
  author       = {HDX},
  year         = {1970},
  url          = {https://data.humdata.org/dataset/access-indicators},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-chad-humanitarian-access-indicators-76b51a6d}}
}

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/access-indicators