electricsheepafrica/africa-uganda-key-primary-education-indicators-2013-2017-d9f721d5

Key Primary Education Indicators 2013 2017 | Africa (Uganda Bureau of Statistics)

149 rows - 1 Africa country/area - 2013-2017 - 1 indicator - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 149 rows from Uganda Bureau of Statistics, covering Key Primary Education Indicators 2013 2017. 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: Key Primary Education Indicators, 2013_2017 - Last Updated on 20th July 2021

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	149
Countries/areas	1
First period	2013
Last period	2017
Indicators	1
Columns	20
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
UGA	149	2013	2017	Uganda

Indicators, Variables, Or Resource Contents

• key-primary-education-indicators-2013-2017-d9f721d5 - Key Primary Education Indicators, 2013_2017(source_units_unspecified)

Schema

Column	Type	Description	Example
indicator_id	string	Stable source or Electric Sheep Africa indicator identifier.	key-primary-education-indicators-2013-2017-d9f721d5
indicator_name	string	Human-readable indicator name.	Key Primary Education Indicators, 2013_2017
country_iso3	string	ISO3 country or area code.	UGA
source_sheet	string	Source column from the original resource.	Sheet2
country_name	string	Country or area name.	Uganda
year	int64	Observation year.	2013
value	double	Numeric observation value.	10.2
unit	string	Measurement unit, when supplied by the source.	source_units_unspecified
dimension_indicator	string	Source dimension retained during long-form normalization.	Gross Enrolment Rate
source_period_start_year	int64	Start year inferred from source metadata.	2013
source_period_end_year	int64	End year inferred from source metadata.	2021
source_period_label	string	Source column from the original resource.	2013-2021
source_provider	string	Publishing organization.	Uganda Bureau of Statistics
source_dataset	string	Source dataset or package title.	Key Primary Education Indicators, 2013_2017
source_resource	string	Source resource title, table name, or file name.	Key Primary Education Indicators, 2013_2017
source_package_id	string	Source package identifier.	key-primary-education-indicators-2013-2017-ubos-stat-da1101a8766fbe
source_resource_id	string	Source resource identifier.	ubos-stat-da1101a8766fbe
source_url	string	Original source URL or download URL.	https://www.ubos.org/wp-content/uploads/statistics/Key_Primary_Educat...
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-key-primary-education-indicators-2013-2017-d9f721d5")
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: Key Primary Education Indicators, 2013_2017
• License: other-open
• Retrieved/generated: 2026-07-21T22:00:14Z
• Hugging Face repo: electricsheepafrica/africa-uganda-key-primary-education-indicators-2013-2017-d9f721d5

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_uganda_key_primary_education_indicators_2013_2017_d9f721d5_2017,
  title        = {Key Primary Education Indicators 2013 2017 | Africa (Uganda Bureau of Statistics)},
  author       = {Uganda Bureau of Statistics},
  year         = {2017},
  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-key-primary-education-indicators-2013-2017-d9f721d5}}
}

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/