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electricsheepafrica/africa-uganda-q1-202223-qgdp-current-prices-excel-tables-a6cac173

Q1 202223 Qgdp Current Prices Excel Tables | Africa (Uganda Bureau of Statistics) 301 rows - 1 Africa country/area - 2022 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 301 rows from Uganda Bureau of Statistics, covering Q1 202223 Qgdp Current 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-q1-202223-qgdp-current-prices-excel-tables-a6cac173.

sourceHugging Faceotherupdated 2mo agoView on Hugging Face
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Dataset Card

Q1 202223 Qgdp Current Prices Excel Tables | Africa (Uganda Bureau of Statistics)

301 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 301 rows from Uganda Bureau of Statistics, covering Q1 202223 Qgdp Current 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 202223 QGDP Current 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
Rows301
Countries/areas1
First period2022
Last period2022
Indicators0
Columns163
Source formatXLSX

Geographic Coverage

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

AreaRowsFirst yearLast yearName
UGA30120222022Uganda

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-0b6db4a09e4346:summary:0
country_iso3stringISO3 country or area code.UGA
country_namestringCountry or area name.Uganda
source_sheetstringSource column from the original resource.Summary
yearint64Observation year.2022
gdp_at_market_pricesstringSource column from the original resource.Agriculture, Forestry & Fishing
d_0stringSource column from the original resource.0
d_0_2doubleSource column from the original resource.0.0
d_10424_36435185372doubleSource column from the original resource.4701.875378144679
d_8800_889182052902doubleSource column from the original resource.3491.709524747235
d_8680_950697507416doubleSource column from the original resource.3170.353898129764
d_13736_713122164774doubleSource column from the original resource.5547.714659719222
d_15073_780838452964doubleSource column from the original resource.5615.618480118095
d_13307_726101072934doubleSource column from the original resource.3904.536991361748
d_13935_477178040652doubleSource column from the original resource.3161.533482938965
d_17398_850153465894doubleSource column from the original resource.5105.570950506891
d_17781_642203798572doubleSource column from the original resource.5189.601640769176
d_19321_942016613888doubleSource column from the original resource.5505.011155844592
d_15760_680153637768doubleSource column from the original resource.3633.300261655517
d_16843_94188451812doubleSource column from the original resource.4432.450754640961
d_22963_05070458112doubleSource column from the original resource.7017.310869544969
d_16017_101418579976doubleSource column from the original resource.4108.136651144173
d_16623_199567419564doubleSource column from the original resource.3593.5416369390914
d_17981_914749525535doubleSource column from the original resource.4257.582345775756
d_21403_29370747316doubleSource column from the original resource.6190.448498150516
d_22022_813529976887doubleSource column from the original resource.5396.117497905648
d_17752_606915962588doubleSource column from the original resource.3715.589542094496
d_15431_346648053946doubleSource column from the original resource.4200.843931509108
d_12121_997003313601doubleSource column from the original resource.6401.072422248631
d_14963_002662776664doubleSource column from the original resource.6149.240354914248
d_19885_546854023927doubleSource column from the original resource.3556.912872711927
d_36287_24096740782doubleSource column from the original resource.4436.573115697344
d_25288_514882776573doubleSource column from the original resource.8052.573268910471
d_22342_075000328114doubleSource column from the original resource.4841.078396504561
d_22136_89873966863doubleSource column from the original resource.3804.9879226906014
d_23621_601656899216doubleSource column from the original resource.4797.85131226306
d_25929_691757038057doubleSource column from the original resource.6532.870998236163
d_24415_3976893585doubleSource column from the original resource.4995.76115743327
d_26671_97400174146doubleSource column from the original resource.6474.802529987303
d_23531_464011493736doubleSource column from the original resource.4781.186194112452
d_27770_589318935192doubleSource column from the original resource.7991.152035167166
d_26546_67499312388doubleSource column from the original resource.6124.778462444914
d_26726_56363465346doubleSource column from the original resource.5423.555332525739
d_27474_2129747606doubleSource column from the original resource.5917.582749982199
d_31504_545658241244doubleSource column from the original resource.8972.89709257175
d_28389_742074203383doubleSource column from the original resource.5835.003401306403
d_29423_68870503304doubleSource column from the original resource.6101.893628484912
d_31166_80101790603doubleSource column from the original resource.7103.270309799034
d_34193_723067604304doubleSource column from the original resource.9060.632264244428
d_32170_5027528753doubleSource column from the original resource.6871.105335352995
d_32242_470736518902doubleSource column from the original resource.6661.19300846432
d_33483_078232186555doubleSource column from the original resource.7715.74029928692
d_37879_46225157232doubleSource column from the original resource.10374.888759767324
d_36323_53874064761doubleSource column from the original resource.8261.645390138978
d_33746_122141362626doubleSource column from the original resource.6825.752355550876
d_31739_92197463569doubleSource column from the original resource.7963.952202305971
d_39013_92864305731doubleSource column from the original resource.11379.924107195237
d_36955_91309416866doubleSource column from the original resource.8755.605149053585
d_35135_70383469584doubleSource column from the original resource.6677.01952757196
d_37204_70205843654doubleSource column from the original resource.8547.289511844767
d_40755_491380089305doubleSource column from the original resource.12120.146068784095
d_39663_28543598206doubleSource column from the original resource.9132.665886736935
d_39166_17044860395doubleSource column from the original resource.7640.015351501842
d_43136_06060681354doubleSource column from the original resource.10259.373531705518
d_49428_435547156405doubleSource column from the original resource.15312.77708029095
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 202223 QGDP Current Prices excel tables
source_resourcestringSource resource title, table name, or file name.Q1 202223 QGDP Current Prices excel tables
source_package_idstringSource package identifier.q1-202223-qgdp-current-prices-excel-tables-ubos-stat-0b6db4a09e4346
source_resource_idstringSource resource identifier.ubos-stat-0b6db4a09e4346
source_urlstringOriginal source URL or download URL.https://www.ubos.org/wp-content/uploads/statistics/Q1_202223_QGDP_Cur...
license_idstringSource license identifier.other-open
retrieved_atstringUTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-07-21T21:37:51Z
column_1stringSource column from the original resource.``
q1_2doubleSource column from the original resource.``
q2doubleSource column from the original resource.``
q3doubleSource column from the original resource.``
q4_2doubleSource column from the original resource.``
q1_3doubleSource column from the original resource.``
q2_2doubleSource column from the original resource.``
q3_2doubleSource column from the original resource.``
q4_3doubleSource column from the original resource.``
q1_4doubleSource column from the original resource.``
q2_3doubleSource column from the original resource.``
q3_3doubleSource column from the original resource.``
q4_4doubleSource column from the original resource.``
q1_5doubleSource column from the original resource.``
q2_4doubleSource column from the original resource.``
q3_4doubleSource column from the original resource.``
q4_5doubleSource column from the original resource.``
q1_6doubleSource column from the original resource.``
q2_5doubleSource column from the original resource.``
q3_5doubleSource column from the original resource.``
q4_6doubleSource column from the original resource.``
q1_7doubleSource column from the original resource.``
q2_6doubleSource column from the original resource.``
q3_6doubleSource column from the original resource.``
q4_7doubleSource column from the original resource.``
q1_8doubleSource column from the original resource.``
q2_7doubleSource column from the original resource.``
q3_7doubleSource column from the original resource.``
q4_8doubleSource column from the original resource.``
q1_9doubleSource column from the original resource.``
q2_8doubleSource column from the original resource.``
q3_8doubleSource column from the original resource.``
q4_9doubleSource column from the original resource.``
q1_10doubleSource column from the original resource.``
q2_9doubleSource column from the original resource.``
q3_9doubleSource column from the original resource.``
q4_10doubleSource column from the original resource.``
q1_11doubleSource column from the original resource.``
q2_10doubleSource column from the original resource.``
q3_10doubleSource column from the original resource.``
q4_11doubleSource column from the original resource.``
q1_12doubleSource column from the original resource.``
q2_11doubleSource column from the original resource.``
q3_11doubleSource column from the original resource.``
q4_12doubleSource column from the original resource.``
q1_13doubleSource column from the original resource.``
q2_12doubleSource column from the original resource.``
q3_12doubleSource column from the original resource.``
q4_13doubleSource column from the original resource.``
q1_14doubleSource column from the original resource.``
q2_13doubleSource column from the original resource.``
q3_13doubleSource column from the original resource.``
q4_14doubleSource column from the original resource.``
q1_15doubleSource column from the original resource.``
q2_14doubleSource column from the original resource.``
q3_14doubleSource column from the original resource.``
q4_15doubleSource column from the original resource.``
q1_16doubleSource column from the original resource.``
q1doubleSource column from the original resource.``
q3_15doubleSource column from the original resource.``
2008stringSource column from the original resource.``
2008_2stringSource column from the original resource.``
2008_3stringSource column from the original resource.``
2008_4stringSource column from the original resource.``
2009stringSource column from the original resource.``
2009_2stringSource column from the original resource.``
2009_3doubleSource column from the original resource.``
2009_4doubleSource column from the original resource.``
2010doubleSource column from the original resource.``
2010_2doubleSource column from the original resource.``
2010_3doubleSource column from the original resource.``
2010_4doubleSource column from the original resource.``
2011doubleSource column from the original resource.``
2011_2doubleSource column from the original resource.``
2011_3doubleSource column from the original resource.``
2011_4doubleSource column from the original resource.``
2012doubleSource column from the original resource.``
2012_2doubleSource column from the original resource.``
2012_3doubleSource column from the original resource.``
2012_4doubleSource column from the original resource.``
2013doubleSource column from the original resource.``
2013_2doubleSource column from the original resource.``
2013_3doubleSource column from the original resource.``
2013_4doubleSource column from the original resource.``
2014doubleSource column from the original resource.``
2014_2doubleSource column from the original resource.``
column_2stringSource column from the original resource.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-uganda-q1-202223-qgdp-current-prices-excel-tables-a6cac173")
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_202223_qgdp_current_prices_excel_tables_a6cac173_2022,
  title        = {Q1 202223 Qgdp Current 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-q1-202223-qgdp-current-prices-excel-tables-a6cac173}}
}

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/