electricsheepafrica/africa-uganda-education-attainment-of-persons-with-functional-difficulti-fd1d65c3

Education Attainment of Persons With Functional Difficulti | Africa (Uganda Bureau of Statistics)

5 rows - 1 Africa country/area - 2025 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 5 rows from Uganda Bureau of Statistics, covering Education Attainment of Persons With Functional Difficulti. 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: Education attainment of persons with functional difficulties - Last Updated on 14th October 2025

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	5
Countries/areas	1
First period	2025
Last period	2025
Indicators	0
Columns	19
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
UGA	5	2025	2025	Uganda

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.	ubos-stat-11a01b56d14ea7:data:0
country_iso3	string	ISO3 country or area code.	UGA
country_name	string	Country or area name.	Uganda
source_sheet	string	Source column from the original resource.	Data
year	int64	Observation year.	2025
educational_attainment	string	Source column from the original resource.	Pre-primary/No school
male	double	Source column from the original resource.	13.1
female	double	Source column from the original resource.	19.2
source_period_start_year	int64	Start year inferred from source metadata.	2025
source_period_end_year	int64	End year inferred from source metadata.	2025
source_period_label	string	Source column from the original resource.	2025
source_provider	string	Publishing organization.	Uganda Bureau of Statistics
source_dataset	string	Source dataset or package title.	Education attainment of persons with functional difficulties
source_resource	string	Source resource title, table name, or file name.	Education attainment of persons with functional difficulties
source_package_id	string	Source package identifier.	education-attainment-of-persons-with-functional-difficulties-ubos-sta...
source_resource_id	string	Source resource identifier.	ubos-stat-11a01b56d14ea7
source_url	string	Original source URL or download URL.	https://www.ubos.org/wp-content/uploads/statistics/Education-attainme...
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-07-21T21:37:51Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-uganda-education-attainment-of-persons-with-functional-difficulti-fd1d65c3")
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"] == "UGA"]

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: Uganda Bureau of Statistics
• Publisher: Uganda Bureau of Statistics
• Portal: https://www.ubos.org
• Resource: Education attainment of persons with functional difficulties
• License: other-open
• Retrieved/generated: 2026-07-21T21:58:15Z
• Hugging Face repo: electricsheepafrica/africa-uganda-education-attainment-of-persons-with-functional-difficulti-fd1d65c3

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

Citation

@misc{electric_sheep_africa_africa_uganda_education_attainment_of_persons_with_functional_difficulti_fd1d65c_2025,
  title        = {Education Attainment of Persons With Functional Difficulti | Africa (Uganda Bureau of Statistics)},
  author       = {Uganda Bureau of Statistics},
  year         = {2025},
  url          = {https://www.ubos.org/explore-statistics/0/},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-uganda-education-attainment-of-persons-with-functional-difficulti-fd1d65c3}}
}

License

Released under other-open.

Original data is published by Uganda Bureau of Statistics. 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.

---

Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://www.ubos.org/explore-statistics/0/