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electricsheepafrica/africa-uganda-q1-202223qgdp-constant-prices-excel-tables-65c3fa53

Q1 202223qgdp Constant Prices Excel Tables | Africa (Uganda Bureau of Statistics) 433 rows - 1 Africa country/area - 2022 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 433 rows from Uganda Bureau of Statistics, covering Q1 202223qgdp Constant Prices Excel Tables. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. What This Dataset… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-uganda-q1-202223qgdp-constant-prices-excel-tables-65c3fa53.

sourceHugging Faceotherupdated 2mo agoView on Hugging Face
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Dataset Card

Q1 202223qgdp Constant Prices Excel Tables | Africa (Uganda Bureau of Statistics)

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

rows countries period indicators license

TL;DR

This dataset contains 433 rows from Uganda Bureau of Statistics, covering Q1 202223qgdp Constant Prices Excel Tables. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Economic datasets help analysts examine production, prices, public finance, trade flows, market conditions, and macroeconomic change.

Source-provided context: Q1 202223QGDP Constant Prices excel tables - Last Updated on 22nd December 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: year.
  • —Time coverage basis: year.
  • —Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

DimensionValue
Rows433
Countries/areas1
First period2022
Last period2022
Indicators0
Columns142
Source formatXLSX

Geographic Coverage

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

AreaRowsFirst yearLast yearName
UGA43320222022Uganda

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-e205ceabbc6e5c:use-of-data:0
country_iso3stringISO3 country or area code.UGA
country_namestringCountry or area name.Uganda
source_sheetstringSource column from the original resource.USE OF DATA
yearint64Observation year.2022
d_1stringSource column from the original resource.2
policy_formulationsstringSource column from the original resource.Macro-economic model building
the_original_unadjusted_series_and_all_componentsstringSource column from the original resource.Could be Unadjusted, adjusted, trend-cycle or all components dependin...
original_vastringSource column from the original resource.Original_VA, Deseason_VA, Trend_VA
source_period_start_yearint64Start year inferred from source metadata.2022
source_period_end_yearint64End year inferred from source metadata.2022
source_period_labelstringSource column from the original resource.2022
source_providerstringPublishing organization.Uganda Bureau of Statistics
source_datasetstringSource dataset or package title.Q1 202223QGDP Constant Prices excel tables
source_resourcestringSource resource title, table name, or file name.Q1 202223QGDP Constant Prices excel tables
source_package_idstringSource package identifier.q1-202223qgdp-constant-prices-excel-tables-ubos-stat-e205ceabbc6e5c
source_resource_idstringSource resource identifier.ubos-stat-e205ceabbc6e5c
source_urlstringOriginal source URL or download URL.https://www.ubos.org/wp-content/uploads/statistics/Q1_202223QGDP_Cons...
license_idstringSource license identifier.other-open
retrieved_atstringUTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-07-21T21:37:51Z
periodstringSource column from the original resource.``
q3stringSource column from the original resource.``
q4doubleSource column from the original resource.``
q1doubleSource column from the original resource.``
q2doubleSource column from the original resource.``
q3_2doubleSource column from the original resource.``
q4_2doubleSource column from the original resource.``
q1_2doubleSource column from the original resource.``
q2_2doubleSource column from the original resource.``
q3_3doubleSource column from the original resource.``
q4_3doubleSource column from the original resource.``
q1_3doubleSource column from the original resource.``
q2_3doubleSource column from the original resource.``
q3_4doubleSource column from the original resource.``
q4_4doubleSource column from the original resource.``
q1_4doubleSource column from the original resource.``
q2_4doubleSource column from the original resource.``
q3_5doubleSource column from the original resource.``
q4_5doubleSource column from the original resource.``
q1_5doubleSource column from the original resource.``
q2_5doubleSource column from the original resource.``
q3_6doubleSource column from the original resource.``
q4_6doubleSource column from the original resource.``
q1_6doubleSource column from the original resource.``
q2_6doubleSource column from the original resource.``
q3_7doubleSource column from the original resource.``
q4_7doubleSource column from the original resource.``
q1_7doubleSource column from the original resource.``
q2_7doubleSource column from the original resource.``
q3_8doubleSource column from the original resource.``
q4_8doubleSource column from the original resource.``
q1_8doubleSource column from the original resource.``
q2_8doubleSource column from the original resource.``
q3_9doubleSource column from the original resource.``
q4_9doubleSource column from the original resource.``
q1_9doubleSource column from the original resource.``
q2_9doubleSource column from the original resource.``
q3_10doubleSource column from the original resource.``
q4_10doubleSource column from the original resource.``
q1_10doubleSource column from the original resource.``
q2_10doubleSource column from the original resource.``
q3_11doubleSource column from the original resource.``
q4_11doubleSource column from the original resource.``
q1_11doubleSource column from the original resource.``
q2_11doubleSource column from the original resource.``
q3_12doubleSource column from the original resource.``
q4_12doubleSource column from the original resource.``
q1_12doubleSource column from the original resource.``
q2_12doubleSource column from the original resource.``
q3_13doubleSource column from the original resource.``
q4_13doubleSource column from the original resource.``
q1_13doubleSource column from the original resource.``
q2_13doubleSource column from the original resource.``
q3_14doubleSource column from the original resource.``
q4_14doubleSource column from the original resource.``
q1_14doubleSource column from the original resource.``
q2_14doubleSource column from the original resource.``
q3_15doubleSource column from the original resource.``
q4_15doubleSource column from the original resource.``
q1_15doubleSource column from the original resource.``
activitystringSource column from the original resource.``
2013doubleSource column from the original resource.``
2014doubleSource column from the original resource.``
2015doubleSource column from the original resource.``
2016doubleSource column from the original resource.``
2017doubleSource column from the original resource.``
column_7doubleSource column from the original resource.``
column_1stringSource column from the original resource.``
gdp_at_market_pricesstringSource column from the original resource.``
d_19103_491296574164doubleSource column from the original resource.``
d_19606_065264674588doubleSource column from the original resource.``
d_20762_664403382238doubleSource column from the original resource.``
d_21257_16324523568doubleSource column from the original resource.``
d_21161_605833506168doubleSource column from the original resource.``
d_21966_96030665521doubleSource column from the original resource.``
d_22418_7960603595doubleSource column from the original resource.``
d_21766_646538793564doubleSource column from the original resource.``
d_22392_499768426842doubleSource column from the original resource.``
d_21980_673120696523doubleSource column from the original resource.``
d_22488_47188275182doubleSource column from the original resource.``
d_22765_397853398823doubleSource column from the original resource.``
d_23645_904008064404doubleSource column from the original resource.``
d_22648_31773292641doubleSource column from the original resource.``
d_22626_392651418308doubleSource column from the original resource.``
d_22256_706066090537doubleSource column from the original resource.``
d_23202_084229875738doubleSource column from the original resource.``
d_22806_025187075604doubleSource column from the original resource.``
d_24129_664646770332doubleSource column from the original resource.``
d_25210_971538465474doubleSource column from the original resource.``
d_24289_121094393107doubleSource column from the original resource.``
d_25394_533823195892doubleSource column from the original resource.``
d_25546_68341379433doubleSource column from the original resource.``
d_26193_689566930574doubleSource column from the original resource.``
d_26551_821466445doubleSource column from the original resource.``
d_26813_642590259413doubleSource column from the original resource.``
d_25827_74817254816doubleSource column from the original resource.``
d_26172_934979415662doubleSource column from the original resource.``
d_26436_04472123278doubleSource column from the original resource.``
d_26863_683939408427doubleSource column from the original resource.``
d_27535_274760322427doubleSource column from the original resource.``
d_27855_998903719505doubleSource column from the original resource.``
d_28391_549424796332doubleSource column from the original resource.``
d_28538_12548128539doubleSource column from the original resource.``
d_29113_94662891072doubleSource column from the original resource.``
d_29433_585306297868doubleSource column from the original resource.``
d_30024_88801345205doubleSource column from the original resource.``
d_30088_755174354723doubleSource column from the original resource.``
d_31388_48837090313doubleSource column from the original resource.``
d_31487_61758031703doubleSource column from the original resource.``
d_32406_831714165415doubleSource column from the original resource.``
d_32678_642639760095doubleSource column from the original resource.``
d_31560_91713886977doubleSource column from the original resource.``
d_29729_33289124137doubleSource column from the original resource.``
d_32033_664518921873doubleSource column from the original resource.``
d_32624_441412292537doubleSource column from the original resource.``
d_32471_206163495doubleSource column from the original resource.``
d_33488_85784245687doubleSource column from the original resource.``
d_32912_100520959546doubleSource column from the original resource.``
d_34342_93306445125doubleSource column from the original resource.``
d_33812_71226179183doubleSource column from the original resource.``
d_35631_793461245135doubleSource column from the original resource.``
d_35584_04705153043doubleSource column from the original resource.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-uganda-q1-202223qgdp-constant-prices-excel-tables-65c3fa53")
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

  • —Build time-series dashboards
  • —Compare economic indicators
  • —Join with population or sector data
  • —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

bibtex
@misc{electric_sheep_africa_africa_uganda_q1_202223qgdp_constant_prices_excel_tables_65c3fa53_2022,
  title        = {Q1 202223qgdp Constant Prices Excel Tables | 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-q1-202223qgdp-constant-prices-excel-tables-65c3fa53}}
}

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/