electricsheepafrica/africa-chad-explosive-weapons-monitor-data-by-insecurity-insight-09d4146c

Explosive Weapons Monitor Data by Insecurity Insight | Africa (Insecurity Insight)

1,968 rows - 1 Africa country/area - 2020-2026 - 10 indicators - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 1,968 rows from Insecurity Insight, covering Explosive Weapons Monitor Data by Insecurity Insight. 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: Resource covering 01 January 2020 to 10 August 2026 on incidents in which aid access, education, healthcare services and food systems were impacted by explosive weapons based on agency- and open source events. Categorised by country and year.

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	1,968
Countries/areas	1
First period	2020
Last period	2026
Indicators	10
Columns	21
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
TCD	1,968	2020	2026	Chad

Indicators, Variables, Or Resource Contents

• explosive-weapons-monitor-data-by-insecurity-insight-number-of-events-667ea16d - Explosive Weapons Monitor Data by Insecurity Insight - number of events(source_units_unspecified)
• explosive-weapons-monitor-data-by-insecurity-insight-health-affected-6b42775b - Explosive Weapons Monitor Data by Insecurity Insight - health affected(source_units_unspecified)
• explosive-weapons-monitor-data-by-insecurity-insight-education-affected-3de8e704 - Explosive Weapons Monitor Data by Insecurity Insight - education affected(source_units_unspecified)
• explosive-weapons-monitor-data-by-insecurity-insight-aid-operations-affe-c5879cbb - Explosive Weapons Monitor Data by Insecurity Insight - aid operations affected(source_units_unspecified)
• explosive-weapons-monitor-data-by-insecurity-insight-protection-affected-3759c170 - Explosive Weapons Monitor Data by Insecurity Insight - protection affected(source_units_unspecified)
• explosive-weapons-monitor-data-by-insecurity-insight-food-system-affecte-58fcd425 - Explosive Weapons Monitor Data by Insecurity Insight - food system affected(source_units_unspecified)
• explosive-weapons-monitor-data-by-insecurity-insight-water-system-affect-25f8e932 - Explosive Weapons Monitor Data by Insecurity Insight - water system affected(source_units_unspecified)
• explosive-weapons-monitor-data-by-insecurity-insight-air-delivered-incid-3c06e530 - Explosive Weapons Monitor Data by Insecurity Insight - air delivered incident(source_units_unspecified)
• explosive-weapons-monitor-data-by-insecurity-insight-ground-launched-inc-ce80c251 - Explosive Weapons Monitor Data by Insecurity Insight - ground launched incident(source_units_unspecified)
• explosive-weapons-monitor-data-by-insecurity-insight-directly-emplaced-i-6efa9f88 - Explosive Weapons Monitor Data by Insecurity Insight - directly emplaced incident(source_units_unspecified)

Schema

Column	Type	Description	Example
indicator_id	string	Stable source or Electric Sheep Africa indicator identifier.	explosive-weapons-monitor-data-by-insecurity-insight-number-of-events...
indicator_name	string	Human-readable indicator name.	Explosive Weapons Monitor Data by Insecurity Insight - number of events
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.	19.0
unit	string	Measurement unit, when supplied by the source.	source_units_unspecified
dimension_country	string	Source dimension retained during long-form normalization.	Afghanistan
dimension_country_iso	string	Source dimension retained during long-form normalization.	AFG
source_period_start_year	int64	Start year inferred from source metadata.	2020
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.	2020-2026
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.	Explosive Weapons Monitor Data by Insecurity Insight
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	2020-2026 Explosive Weapons Overview Data.xlsx
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	729040e4-e253-44ca-b265-123d452738d6
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	2b0ef01a-8ad0-40e7-864a-fba600df1ec9
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.humdata.org/dataset/729040e4-e253-44ca-b265-123d452738d6...
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-explosive-weapons-monitor-data-by-insecurity-insight-09d4146c")
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: 2020-2026 Explosive Weapons Overview Data.xlsx
• License: CC BY-SA 4.0
• Retrieved/generated: 2026-08-10T22:51:51Z
• Hugging Face repo: electricsheepafrica/africa-chad-explosive-weapons-monitor-data-by-insecurity-insight-09d4146c

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
• 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_explosive_weapons_monitor_data_by_insecurity_insight_09d4146c_2026,
  title        = {Explosive Weapons Monitor Data by Insecurity Insight | Africa (Insecurity Insight)},
  author       = {Insecurity Insight},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/explosive-weapons-use-affecting-aid-access-education-and-healthcare-services},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-chad-explosive-weapons-monitor-data-by-insecurity-insight-09d4146c}}
}

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/explosive-weapons-use-affecting-aid-access-education-and-healthcare-services