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electricsheepafrica/africa-uganda-ownership-of-treated-mosquitoes-e6a710ef

Ownership of Treated Mosquitoes | Africa (Uganda Bureau of Statistics) 3 rows - 1 Africa country/area - 2006-2011 - 1 indicator - Engineered by Electric Sheep Africa TL;DR This dataset contains 3 rows from Uganda Bureau of Statistics, covering Ownership of Treated Mosquitoes. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. What This Dataset Measures Official… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-uganda-ownership-of-treated-mosquitoes-e6a710ef.

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Ownership of Treated Mosquitoes | Africa (Uganda Bureau of Statistics)

3 rows - 1 Africa country/area - 2006-2011 - 1 indicator - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 3 rows from Uganda Bureau of Statistics, covering Ownership of Treated Mosquitoes. 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: Ownership of treated Mosquitoes - Last Updated on 23rd October 2018

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

DimensionValue
Rows3
Countries/areas1
First period2006
Last period2011
Indicators1
Columns19
Source formatXLSX

Geographic Coverage

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

AreaRowsFirst yearLast yearName
UGA320062011Uganda

Indicators, Variables, Or Resource Contents

  • —ownership-of-treated-mosquitoes-2d04a813 - Ownership of treated Mosquitoes(sourceunitsunspecified)

Schema

ColumnTypeDescriptionExample
indicator_idstringStable source or Electric Sheep Africa indicator identifier.ownership-of-treated-mosquitoes-2d04a813
indicator_namestringHuman-readable indicator name.Ownership of treated Mosquitoes
country_iso3stringISO3 country or area code.UGA
source_sheetstringSource column from the original resource.Sheet1
country_namestringCountry or area name.Uganda
yearint64Observation year.2006
valuedoubleNumeric observation value.16.6
unitstringMeasurement unit, when supplied by the source.source_units_unspecified
source_period_start_yearint64Start year inferred from source metadata.2018
source_period_end_yearint64End year inferred from source metadata.2018
source_period_labelstringSource column from the original resource.2018
source_providerstringPublishing organization.Uganda Bureau of Statistics
source_datasetstringSource dataset or package title.Ownership of treated Mosquitoes
source_resourcestringSource resource title, table name, or file name.Ownership of treated Mosquitoes
source_package_idstringSource package identifier.ownership-of-treated-mosquitoes-ubos-stat-e6ff1d7d01a21c
source_resource_idstringSource resource identifier.ubos-stat-e6ff1d7d01a21c
source_urlstringOriginal source URL or download URL.https://www.ubos.org/wp-content/uploads/statistics/Ownerships_of_Inse...
license_idstringSource license identifier.other-open
retrieved_atstringUTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-07-21T21:37:51Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-uganda-ownership-of-treated-mosquitoes-e6a710ef")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

python
print(df.info())
print(df.head())

Filter By Geography

python
if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "UGA"]

Time-Series Pattern

python
if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

python
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

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

bibtex
@misc{electric_sheep_africa_africa_uganda_ownership_of_treated_mosquitoes_e6a710ef_2011,
  title        = {Ownership of Treated Mosquitoes | Africa (Uganda Bureau of Statistics)},
  author       = {Uganda Bureau of Statistics},
  year         = {2011},
  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-ownership-of-treated-mosquitoes-e6a710ef}}
}

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/