electricsheepafrica/africa-chad-protection-in-danger-data-9ce82cb1

Protection in Danger Data | Africa (Insecurity Insight)

9,348 rows - 1 Africa country/area - 2026 - 12 indicators - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 9,348 rows from Insecurity Insight, covering Protection in Danger Data. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Labour and workforce datasets help analysts study employment, participation, skills, sectoral structure, and the movement of people through work and livelihoods.

Source-provided context: Resource covering 01 January to 20 July 2026 on threats and violence at IDP/Refugee Camps based on agency- and open source events. Categorised by country.

How To Read This Dataset

• One row means: one indicator observation for one geography, time period, and optional source dimensions.
• Primary geography column: country_iso3.
• Best time column: year.
• Time coverage basis: year.
• Recommended join keys: country_iso3, year, indicator_id.

Coverage

Dimension	Value
Rows	9,348
Countries/areas	1
First period	2026
Last period	2026
Indicators	12
Columns	33
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
TCD	9,348	2026	2026	Chad

Indicators, Variables, Or Resource Contents

• protection-in-danger-data-number-of-attacks-on-camps-reporting-destructi-1436b630 - Protection in Danger Data - number of attacks on camps reporting destruction(source_units_unspecified)
• protection-in-danger-data-number-of-attacks-on-camps-reporting-damaged-84335298 - Protection in Danger Data - number of attacks on camps reporting damaged(source_units_unspecified)
• protection-in-danger-data-camp-resident-killed-ffbe5c46 - Protection in Danger Data - camp resident killed(source_units_unspecified)
• protection-in-danger-data-camp-resident-injured-112689ff - Protection in Danger Data - camp resident injured(source_units_unspecified)
• protection-in-danger-data-camp-residents-kidnapped-6a77e7b0 - Protection in Danger Data - camp residents kidnapped(source_units_unspecified)
• protection-in-danger-data-camp-residents-arrested-9083f466 - Protection in Danger Data - camp residents arrested(source_units_unspecified)
• protection-in-danger-data-camp-residents-targeted-with-crsv-9f03bf3f - Protection in Danger Data - camp residents targeted with crsv(source_units_unspecified)
• protection-in-danger-data-service-provider-killed-1c5a848e - Protection in Danger Data - service provider killed(source_units_unspecified)
• protection-in-danger-data-service-provider-kidnapped-943b5cf4 - Protection in Danger Data - service provider kidnapped(source_units_unspecified)
• protection-in-danger-data-service-provider-arrested-9f5ff91f - Protection in Danger Data - service provider arrested(source_units_unspecified)
• protection-in-danger-data-service-provider-targeted-with-crsv-93d2a173 - Protection in Danger Data - service provider targeted with crsv(source_units_unspecified)
• protection-in-danger-data-sind-id-ad656ec9 - Protection in Danger Data - sind id(source_units_unspecified)

Schema

Column	Type	Description	Example
indicator_id	string	Stable source or Electric Sheep Africa indicator identifier.	protection-in-danger-data-number-of-attacks-on-camps-reporting-destru...
indicator_name	string	Human-readable indicator name.	Protection in Danger Data - number of attacks on camps reporting dest...
country_iso3	string	ISO3 country or area code.	TCD
source_sheet	string	Source column from the original resource.	Sheet1
country_name	string	Country or area name.	Chad
year	int64	Observation year.	2026
value	double	Numeric observation value.	0.0
unit	string	Measurement unit, when supplied by the source.	source_units_unspecified
dimension_date	string	Source dimension retained during long-form normalization.	2026-07-20 00:00:00
dimension_country	string	Source dimension retained during long-form normalization.	OPT
dimension_country_iso	string	Source dimension retained during long-form normalization.	PSE
dimension_admin_1	string	Source dimension retained during long-form normalization.	Gaza Strip
dimension_geo_precision	string	Source dimension retained during long-form normalization.	censored
dimension_camp_name	string	Source dimension retained during long-form normalization.	Jabalia Camp
dimension_reported_perpetrator	string	Source dimension retained during long-form normalization.	Host Government: Military
dimension_reported_perpetrator_name	string	Source dimension retained during long-form normalization.	Israeli Defence Forces
dimension_weapon_carried_used	string	Source dimension retained during long-form normalization.	Aerial Bomb: Plane
dimension_protection_event_context	string	Source dimension retained during long-form normalization.	Airstrike/Shelling
dimension_victim_of_violence	string	Source dimension retained during long-form normalization.	``
dimension_survivor_or_victim_sex	string	Source dimension retained during long-form normalization.	Multiple
dimension_survivor_or_victim_minor	string	Source dimension retained during long-form normalization.	No Information About Age
dimension_date_event_entered	string	Source dimension retained during long-form normalization.	2026-07-27 00:00:00
source_period_start_year	int64	Start year inferred from source metadata.	2026
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.	2026
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	Insecurity Insight
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	Protection in Danger Data
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	2026 Protection in Danger Incident Data.xlsx
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	14b1ad1d-abcf-453d-970c-cb964084134e
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	29b4ca73-565a-4317-92a2-a2154ad923d5
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.humdata.org/dataset/14b1ad1d-abcf-453d-970c-cb964084134e...
license_id	dictionary<values=string, indices=int8, ordered=0>	Source license identifier.	cc-by-sa
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-protection-in-danger-data-9ce82cb1")
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: Insecurity Insight
• Publisher: Insecurity Insight
• Portal: https://data.humdata.org
• Resource: 2026 Protection in Danger Incident Data.xlsx
• License: CC BY-SA 4.0
• Retrieved/generated: 2026-08-10T22:51:51Z
• Hugging Face repo: electricsheepafrica/africa-chad-protection-in-danger-data-9ce82cb1

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

• Track workforce composition over time
• Compare employment patterns across groups
• Join with education, population, and sector data
• Build time-series views and period-over-period comparisons
• Pivot to geography x period or indicator x period matrices
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_chad_protection_in_danger_data_9ce82cb1_2026,
  title        = {Protection in Danger Data | Africa (Insecurity Insight)},
  author       = {Insecurity Insight},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/sind-protection-in-danger-monthly-news-briefs-dataset},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-chad-protection-in-danger-data-9ce82cb1}}
}

License

Released under CC BY-SA 4.0.

Original data is published by Insecurity Insight. 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/sind-protection-in-danger-monthly-news-briefs-dataset