electricsheepafrica/africa-chad-education-in-danger-data-71278fa9

Education in Danger Data | Africa (Insecurity Insight)

6,315 rows - 1 Africa country/area - 2017-2026 - 15 indicators - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 6,315 rows from Insecurity Insight, covering Education 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

Education datasets help analysts study access, participation, learning systems, infrastructure, and outcomes across places and periods.

Source-provided context: Resource covering 01 January 2017 to 10 August 2026 on attacks on education 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	6,315
Countries/areas	1
First period	2017
Last period	2026
Indicators	15
Columns	22
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
TCD	6,315	2017	2026	Chad

Indicators, Variables, Or Resource Contents

• education-in-danger-data-number-of-events-20bec865 - Education in Danger Data - number of events(source_units_unspecified)
• education-in-danger-data-educators-killed-f689957d - Education in Danger Data - educators killed(source_units_unspecified)
• education-in-danger-data-educators-injured-885d7888 - Education in Danger Data - educators injured(source_units_unspecified)
• education-in-danger-data-educators-kidnapped-2b089c41 - Education in Danger Data - educators kidnapped(source_units_unspecified)
• education-in-danger-data-educators-arrested-a818cced - Education in Danger Data - educators arrested(source_units_unspecified)
• education-in-danger-data-attacks-on-schools-42e3e432 - Education in Danger Data - attacks on schools(source_units_unspecified)
• education-in-danger-data-attacks-on-universities-03262b68 - Education in Danger Data - attacks on universities(source_units_unspecified)
• education-in-danger-data-military-occupation-of-schools-151c90cd - Education in Danger Data - military occupation of schools(source_units_unspecified)
• education-in-danger-data-forced-entry-into-schools-07fc2656 - Education in Danger Data - forced entry into schools(source_units_unspecified)
• education-in-danger-data-damage-destruction-to-school-event-84b5fe98 - Education in Danger Data - damage destruction to school event(source_units_unspecified)
• education-in-danger-data-students-attacked-in-school-77471e29 - Education in Danger Data - students attacked in school(source_units_unspecified)
• education-in-danger-data-students-killed-90182fb4 - Education in Danger Data - students killed(source_units_unspecified)
• education-in-danger-data-students-injured-72a0fdbc - Education in Danger Data - students injured(source_units_unspecified)
• education-in-danger-data-students-kidnapped-58a0c6c3 - Education in Danger Data - students kidnapped(source_units_unspecified)
• education-in-danger-data-number-of-incidents-affecting-children-s-servic-29244aba - Education in Danger Data - number of incidents affecting children s services(source_units_unspecified)

Schema

Column	Type	Description	Example
indicator_id	string	Stable source or Electric Sheep Africa indicator identifier.	education-in-danger-data-number-of-events-20bec865
indicator_name	string	Human-readable indicator name.	Education in Danger Data - 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.	9.0
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
dimension_attacks_on_students_and_teachers	string	Source dimension retained during long-form normalization.	True
source_period_start_year	int64	Start year inferred from source metadata.	2017
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.	2017-2026
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.	Education in Danger Data
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	2017-2026 Education in Danger Overview Data.xlsx
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	c7db52ae-13c2-4bf5-ae71-a9243a68194e
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	1c0f27fc-dfee-4e25-8140-085b4fcadf09
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.humdata.org/dataset/c7db52ae-13c2-4bf5-ae71-a9243a68194e...
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-education-in-danger-data-71278fa9")
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: 2017-2026 Education in Danger Overview Data.xlsx
• License: CC BY-SA 4.0
• Retrieved/generated: 2026-08-10T22:52:19Z
• Hugging Face repo: electricsheepafrica/africa-chad-education-in-danger-data-71278fa9

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 education indicators by geography
• Track participation or completion trends
• Join with population and poverty indicators
• 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_education_in_danger_data_71278fa9_2026,
  title        = {Education in Danger Data | Africa (Insecurity Insight)},
  author       = {Insecurity Insight},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/sind-education-in-danger-monthly-news-briefs-dataset},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-chad-education-in-danger-data-71278fa9}}
}

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-education-in-danger-monthly-news-briefs-dataset