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electricsheepafrica/africa-uganda-amount-of-water-sold-by-nwsc-2021-2e8d3f01

Amount of Water Sold by Nwsc 2021 | Africa (Uganda Bureau of Statistics) 880 rows - 1 Africa country/area - 2021-2023 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 880 rows from Uganda Bureau of Statistics, covering Amount of Water Sold by Nwsc 2021. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. What This Dataset Measures… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-uganda-amount-of-water-sold-by-nwsc-2021-2e8d3f01.

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Dataset Card

Amount of Water Sold by Nwsc 2021 | Africa (Uganda Bureau of Statistics)

880 rows - 1 Africa country/area - 2021-2023 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 880 rows from Uganda Bureau of Statistics, covering Amount of Water Sold by Nwsc 2021. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Climate and environment datasets help analysts study exposure, resource conditions, environmental pressure, and climate-related trends.

Source-provided context: Amount of Water Sold by NWSC 2021 - Last Updated on 25th June 2023

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
Rows880
Countries/areas1
First period2021
Last period2023
Indicators0
Columns52
Source formatXLSX

Geographic Coverage

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

AreaRowsFirst yearLast yearName
UGA88020212023Uganda

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-6d9cb40f980827:sheet1:0
country_iso3stringISO3 country or area code.UGA
country_namestringCountry or area name.Uganda
source_sheetstringSource column from the original resource.Sheet1
stationstringSource column from the original resource.Arua
districtstringSource column from the original resource.``
jandoubleSource column from the original resource.0.0
febdoubleSource column from the original resource.0.0
mardoubleSource column from the original resource.5.0
aprdoubleSource column from the original resource.7.0
maydoubleSource column from the original resource.12.0
jundoubleSource column from the original resource.8.0
juldoubleSource column from the original resource.12.0
augdoubleSource column from the original resource.7.0
sepdoubleSource column from the original resource.11.0
octdoubleSource column from the original resource.18.0
novdoubleSource column from the original resource.7.0
decdoubleSource column from the original resource.3.0
source_period_start_yearint64Start year inferred from source metadata.2021
source_period_end_yearint64End year inferred from source metadata.2023
source_period_labelstringSource column from the original resource.2021-2023
source_providerstringPublishing organization.Uganda Bureau of Statistics
source_datasetstringSource dataset or package title.Amount of Water Sold by NWSC 2021
source_resourcestringSource resource title, table name, or file name.Amount of Water Sold by NWSC 2021
source_package_idstringSource package identifier.amount-of-water-sold-by-nwsc-2021-ubos-stat-6d9cb40f980827
source_resource_idstringSource resource identifier.ubos-stat-6d9cb40f980827
source_urlstringOriginal source URL or download URL.https://www.ubos.org/wp-content/uploads/statistics/Amount_of_Water_So...
license_idstringSource license identifier.other-open
retrieved_atstringUTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-07-21T21:37:51Z
townstringSource column from the original resource.``
h2o_produced_m3_2021_22doubleSource column from the original resource.``
h2o_supplied_m3_2021_22doubleSource column from the original resource.``
h2o_sold_m3_2021_22doubleSource column from the original resource.``
billing_efficiencydoubleSource column from the original resource.``
2017doubleSource column from the original resource.``
2018doubleSource column from the original resource.``
2019doubleSource column from the original resource.``
2020doubleSource column from the original resource.``
2021doubleSource column from the original resource.``
lt_maxstringSource column from the original resource.``
d_30_8doubleSource column from the original resource.``
d_32_3doubleSource column from the original resource.``
d_31doubleSource column from the original resource.``
d_29_1doubleSource column from the original resource.``
d_28_7doubleSource column from the original resource.``
d_27_5doubleSource column from the original resource.``
d_27doubleSource column from the original resource.``
d_27_6doubleSource column from the original resource.``
d_27_4doubleSource column from the original resource.``
d_28doubleSource column from the original resource.``
d_28_2doubleSource column from the original resource.``
d_29_8doubleSource column from the original resource.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-uganda-amount-of-water-sold-by-nwsc-2021-2e8d3f01")
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

  • —Analyze seasonal or annual patterns
  • —Join with agriculture or health data
  • —Map geographic exposure
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_uganda_amount_of_water_sold_by_nwsc_2021_2e8d3f01_2023,
  title        = {Amount of Water Sold by Nwsc 2021 | Africa (Uganda Bureau of Statistics)},
  author       = {Uganda Bureau of Statistics},
  year         = {2023},
  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-amount-of-water-sold-by-nwsc-2021-2e8d3f01}}
}

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/