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electricsheepafrica/africa-uganda-annual-average-weighted-large-industrial-tariffs-ug-shs-kw-1601cd58

Annual Average Weighted Large Industrial Tariffs Ug Shs Kw | Africa (Uganda Bureau of Statistics) 6 rows - 1 Africa country/area - 2014-2022 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 6 rows from Uganda Bureau of Statistics, covering Annual Average Weighted Large Industrial Tariffs Ug Shs Kw. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-uganda-annual-average-weighted-large-industrial-tariffs-ug-shs-kw-1601cd58.

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Dataset Card

Annual Average Weighted Large Industrial Tariffs Ug Shs Kw | Africa (Uganda Bureau of Statistics)

6 rows - 1 Africa country/area - 2014-2022 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 6 rows from Uganda Bureau of Statistics, covering Annual Average Weighted Large Industrial Tariffs Ug Shs Kw. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Demographic datasets help analysts understand population structure, household conditions, migration, gender, age, and settlement patterns.

Source-provided context: Annual Average Weighted Large Industrial Tariffs (Ug shs KWh) 2014-2021 - Last Updated on 25th May 2022

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: not detected.
  • —Time coverage basis: source metadata.
  • —Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

DimensionValue
Rows6
Countries/areas1
First period2014
Last period2022
Indicators0
Columns24
Source formatXLS

Geographic Coverage

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

AreaRowsFirst yearLast yearName
UGA620142022Uganda

Indicators, Variables, Or Resource Contents

  • —This repo preserves one source tabular resource with its usable columns kept together.

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier assigned during Electric Sheep Africa engineering.ubos-stat-c8974759eede40:sheet1:0
country_iso3stringISO3 country or area code.UGA
country_namestringCountry or area name.Uganda
source_sheetstringSource column from the original resource.Sheet1
umemestringSource column from the original resource.WENRECO
d_308_5doubleSource column from the original resource.467.7
d_336_5doubleSource column from the original resource.526.9
d_356_8doubleSource column from the original resource.565.8
d_370_9doubleSource column from the original resource.596.2
d_378_9doubleSource column from the original resource.``
d_369_65000000000003doubleSource column from the original resource.373.0
d_361_35doubleSource column from the original resource.423.925
d_358doubleSource column from the original resource.440.9
source_period_start_yearint64Start year inferred from source metadata.2014
source_period_end_yearint64End year inferred from source metadata.2022
source_period_labelstringSource column from the original resource.2014-2022
source_providerstringPublishing organization.Uganda Bureau of Statistics
source_datasetstringSource dataset or package title.Annual Average Weighted Large Industrial Tariffs (Ug shs KWh) 2014-2021
source_resourcestringSource resource title, table name, or file name.Annual Average Weighted Large Industrial Tariffs (Ug shs KWh) 2014-2021
source_package_idstringSource package identifier.annual-average-weighted-large-industrial-tariffs-ug-shs-kwh-2014-2021...
source_resource_idstringSource resource identifier.ubos-stat-c8974759eede40
source_urlstringOriginal source URL or download URL.https://www.ubos.org/wp-content/uploads/statistics/Annual_Average_Wei...
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-annual-average-weighted-large-industrial-tariffs-ug-shs-kw-1601cd58")
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

  • —No canonical year/date column was detected in the packaged table; use source metadata and domain context for temporal interpretation.
  • —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

  • —Build demographic profiles
  • —Normalize indicators per capita
  • —Join with service-delivery datasets
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_uganda_annual_average_weighted_large_industrial_tariffs_ug_shs_kw_1601cd5_2022,
  title        = {Annual Average Weighted Large Industrial Tariffs Ug Shs Kw | Africa (Uganda Bureau of Statistics)},
  author       = {Uganda Bureau of Statistics},
  year         = {2022},
  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-annual-average-weighted-large-industrial-tariffs-ug-shs-kw-1601cd58}}
}

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/