electricsheepafrica/africa-uganda-secondary-enrollment-rates-by-district-21e5f8d2

Secondary Enrollment Rates by District | Africa (Uganda Bureau of Statistics)

204 rows - 1 Africa country/area - 2018 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 204 rows from Uganda Bureau of Statistics, covering Secondary Enrollment Rates by District. 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: Secondary Enrollment Rates by District - Last Updated on 21st September 2018

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	204
Countries/areas	1
First period	2018
Last period	2018
Indicators	0
Columns	24
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
UGA	204	2018	2018	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-733fc64ef13e1a:secondary-ner: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.	Secondary NER
year	int64	Observation year.	2018
bunyangabu	string	Source column from the original resource.	Bushenyi
column	double	Source column from the original resource.	33.0
column_2	double	Source column from the original resource.	41.0
column_3	double	Source column from the original resource.	46.0
column_4	double	Source column from the original resource.	42.0
column_5	double	Source column from the original resource.	42.0
d_21	double	Source column from the original resource.	43.0
source_period_start_year	int64	Start year inferred from source metadata.	2018
source_period_end_year	int64	End year inferred from source metadata.	2018
source_period_label	string	Source column from the original resource.	2018
source_provider	string	Publishing organization.	Uganda Bureau of Statistics
source_dataset	string	Source dataset or package title.	Secondary Enrollment Rates by District
source_resource	string	Source resource title, table name, or file name.	Secondary Enrollment Rates by District
source_package_id	string	Source package identifier.	secondary-enrollment-rates-by-district-ubos-stat-733fc64ef13e1a
source_resource_id	string	Source resource identifier.	ubos-stat-733fc64ef13e1a
source_url	string	Original source URL or download URL.	https://www.ubos.org/wp-content/uploads/statistics/Secondary_Enrollme...
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
d_25	double	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-uganda-secondary-enrollment-rates-by-district-21e5f8d2")
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: Secondary Enrollment Rates by District
• License: other-open
• Retrieved/generated: 2026-07-21T22:14:51Z
• Hugging Face repo: electricsheepafrica/africa-uganda-secondary-enrollment-rates-by-district-21e5f8d2

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_secondary_enrollment_rates_by_district_21e5f8d2_2018,
  title        = {Secondary Enrollment Rates by District | Africa (Uganda Bureau of Statistics)},
  author       = {Uganda Bureau of Statistics},
  year         = {2018},
  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-secondary-enrollment-rates-by-district-21e5f8d2}}
}

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.

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