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electricsheepafrica/africa-uganda-ppi-hotels-and-restaurants-quarter-4-april-to-june-fy-2016-ed181f64

Ppi Hotels and Restaurants Quarter 4 April to June Fy 2016 | Africa (Uganda Bureau of Statistics) 11 rows - 1 Africa country/area - 2016-2017 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 11 rows from Uganda Bureau of Statistics, covering Ppi Hotels and Restaurants Quarter 4 April to June Fy 2016. 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-ppi-hotels-and-restaurants-quarter-4-april-to-june-fy-2016-ed181f64.

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Dataset Card

Ppi Hotels and Restaurants Quarter 4 April to June Fy 2016 | Africa (Uganda Bureau of Statistics)

11 rows - 1 Africa country/area - 2016-2017 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 11 rows from Uganda Bureau of Statistics, covering Ppi Hotels and Restaurants Quarter 4 April to June Fy 2016. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Official statistics datasets help analysts inspect public data as published by governments, national statistical systems, and regional data portals.

Source-provided context: PPI – Hotels and Restaurants, Quarter 4 (April to June) FY 2016/17 - Published: 23rd July 2017

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
Rows11
Countries/areas1
First period2016
Last period2017
Indicators0
Columns20
Source formatXLS

Geographic Coverage

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

AreaRowsFirst yearLast yearName
UGA1120162017Uganda

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-58ffa84a2c3e58:annual-changes:0
country_iso3stringISO3 country or area code.UGA
country_namestringCountry or area name.Uganda
source_sheetstringSource column from the original resource.Annual Changes
quartersstringSource column from the original resource.Q2FY2014/15
monthsstringSource column from the original resource.Oct-Dec
all_sectorsdoubleSource column from the original resource.7.1
accomodationdoubleSource column from the original resource.7.2
cateringdoubleSource column from the original resource.5.2
source_period_start_yearint64Start year inferred from source metadata.2016
source_period_end_yearint64End year inferred from source metadata.2017
source_period_labelstringSource column from the original resource.2016-2017
source_providerstringPublishing organization.Uganda Bureau of Statistics
source_datasetstringSource dataset or package title.PPI – Hotels and Restaurants, Quarter 4 (April to June) FY 2016/17
source_resourcestringSource resource title, table name, or file name.PPI – Hotels and Restaurants, Quarter 4 (April to June) FY 2016/17
source_package_idstringSource package identifier.ppi-hotels-and-restaurants-quarter-4-april-to-june-fy-2016-17-ubos-st...
source_resource_idstringSource resource identifier.ubos-stat-58ffa84a2c3e58
source_urlstringOriginal source URL or download URL.https://www.ubos.org/wp-content/uploads/publications/Annual_Changes_A...
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-ppi-hotels-and-restaurants-quarter-4-april-to-june-fy-2016-ed181f64")
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

  • —Profile the distribution of values
  • —Compare categories or geographies
  • —Join with complementary public datasets
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_uganda_ppi_hotels_and_restaurants_quarter_4_april_to_june_fy_2016_ed181f6_2017,
  title        = {Ppi Hotels and Restaurants Quarter 4 April to June Fy 2016 | Africa (Uganda Bureau of Statistics)},
  author       = {Uganda Bureau of Statistics},
  year         = {2017},
  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-ppi-hotels-and-restaurants-quarter-4-april-to-june-fy-2016-ed181f64}}
}

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/