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electricsheepafrica/africa-uganda-qgdp-q1-2023-24-constant-prices-excel-tables-d1f34f4d

Qgdp Q1 2023 24 Constant Prices Excel Tables | Africa (Uganda Bureau of Statistics) 572 rows - 1 Africa country/area - 2023-2024 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 572 rows from Uganda Bureau of Statistics, covering Qgdp Q1 2023 24 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-uganda-qgdp-q1-2023-24-constant-prices-excel-tables-d1f34f4d.

sourceHugging Faceotherupdated 2mo agoView on Hugging Face
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Dataset Card

Qgdp Q1 2023 24 Constant Prices Excel Tables | Africa (Uganda Bureau of Statistics)

572 rows - 1 Africa country/area - 2023-2024 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 572 rows from Uganda Bureau of Statistics, covering Qgdp Q1 2023 24 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: QGDP Q1 2023/24 Constant Prices Excel Tables - Last Updated on 9th January 2024

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
Rows572
Countries/areas1
First period2023
Last period2024
Indicators0
Columns150
Source formatXLSX

Geographic Coverage

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

AreaRowsFirst yearLast yearName
UGA57220232024Uganda

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-5c6e9875a723c7: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
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.2023
source_period_end_yearint64End year inferred from source metadata.2024
source_period_labelstringSource column from the original resource.2023-2024
source_providerstringPublishing organization.Uganda Bureau of Statistics
source_datasetstringSource dataset or package title.QGDP Q1 2023/24 Constant Prices Excel Tables
source_resourcestringSource resource title, table name, or file name.QGDP Q1 2023/24 Constant Prices Excel Tables
source_package_idstringSource package identifier.qgdp-q1-2023-24-constant-prices-excel-tables-ubos-stat-5c6e9875a723c7
source_resource_idstringSource resource identifier.ubos-stat-5c6e9875a723c7
source_urlstringOriginal source URL or download URL.https://www.ubos.org/wp-content/uploads/statistics/QGDP_Constant_Pric...
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.``
q3doubleSource 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.``
q2_15doubleSource column from the original resource.``
q3_16doubleSource column from the original resource.``
q4_16doubleSource column from the original resource.``
q1_16doubleSource 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_19123_780126502275doubleSource column from the original resource.``
d_19649_675921051057doubleSource column from the original resource.``
d_20749_479437514216doubleSource column from the original resource.``
d_21204_003355635283doubleSource column from the original resource.``
d_21174_874819006705doubleSource column from the original resource.``
d_22019_19925735111doubleSource column from the original resource.``
d_22411_178101108184doubleSource column from the original resource.``
d_21714_296856663168doubleSource column from the original resource.``
d_22395_389646485975doubleSource column from the original resource.``
d_22034_097623837202doubleSource column from the original resource.``
d_22482_13159463455doubleSource column from the original resource.``
d_22721_677114565675doubleSource column from the original resource.``
d_23635_358687117317doubleSource column from the original resource.``
d_22707_58558411732doubleSource column from the original resource.``
d_22615_204187457122doubleSource column from the original resource.``
d_22228_134341352168doubleSource column from the original resource.``
d_23186_68184284278doubleSource column from the original resource.``
d_22853_68747944381doubleSource column from the original resource.``
d_24120_178194526638doubleSource column from the original resource.``
d_25196_301164027125doubleSource column from the original resource.``
d_24266_556644515855doubleSource column from the original resource.``
d_25430_05391782166doubleSource column from the original resource.``
d_25554_754395244625doubleSource column from the original resource.``
d_26181_52606095831doubleSource column from the original resource.``
d_26530_92015220698doubleSource column from the original resource.``
d_26824_295935856742doubleSource column from the original resource.``
d_25873_23011222565doubleSource column from the original resource.``
d_26159_25460376402doubleSource column from the original resource.``
d_26405_62691080779doubleSource column from the original resource.``
d_26872_7950919333doubleSource column from the original resource.``
d_27623_55327219469doubleSource column from the original resource.``
d_27821_15025561099doubleSource column from the original resource.``
d_28331_94471358818doubleSource column from the original resource.``
d_28546_215927461046doubleSource column from the original resource.``
d_29243_399398829024doubleSource column from the original resource.``
d_29410_51825668249doubleSource column from the original resource.``
d_29986_627828627265doubleSource column from the original resource.``
d_30137_25649723587doubleSource column from the original resource.``
d_31552_30205007957doubleSource column from the original resource.``
d_31402_24765379113doubleSource column from the original resource.``
d_32310_948633857988doubleSource column from the original resource.``
d_32640_99615418283doubleSource column from the original resource.``
d_31859_417384902703doubleSource column from the original resource.``
d_29707_31235639623doubleSource column from the original resource.``
d_31921_864870648344doubleSource column from the original resource.``
d_32658_454480248136doubleSource column from the original resource.``
d_32758_493063066162doubleSource column from the original resource.``
d_33397_83280702501doubleSource column from the original resource.``
d_32708_183570532434doubleSource column from the original resource.``
d_34144_73977639281doubleSource column from the original resource.``
d_34730_8440940636doubleSource column from the original resource.``
d_35363_75770785716doubleSource column from the original resource.``
d_35652_56093239208doubleSource column from the original resource.``
d_35697_79489411909doubleSource column from the original resource.``
d_35302_13295989723doubleSource column from the original resource.``
d_37121_080032339785doubleSource column from the original resource.``
d_37624_15839128823doubleSource column from the original resource.``
expenditure_constant_pricesstringSource column from the original resource.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-uganda-qgdp-q1-2023-24-constant-prices-excel-tables-d1f34f4d")
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 time-series dashboards
  • —Compare economic indicators
  • —Join with population or sector data
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_uganda_qgdp_q1_2023_24_constant_prices_excel_tables_d1f34f4d_2024,
  title        = {Qgdp Q1 2023 24 Constant Prices Excel Tables | Africa (Uganda Bureau of Statistics)},
  author       = {Uganda Bureau of Statistics},
  year         = {2024},
  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-qgdp-q1-2023-24-constant-prices-excel-tables-d1f34f4d}}
}

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/