electricsheepafrica/africa-mozambique-relatorio-final-do-inquerito-ao-orcamento-familiar-2014-20-b5e3a2d9

Relatorio Final Do Inquerito Ao Orcamento Familiar 2014 20 | Africa (Instituto Nacional de Estatistica)

49 rows - 1 Africa country/area - 2014-2015 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 49 rows from Instituto Nacional de Estatistica, covering Relatorio Final Do Inquerito Ao Orcamento Familiar 2014 20. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Transport datasets help analysts examine mobility, infrastructure, passenger movement, logistics, and access to services.

Source-provided context: Document, Questionnaire [doc/qst]

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

Dimension	Value
Rows	49
Countries/areas	1
First period	2014
Last period	2015
Indicators	0
Columns	30
Source format	XLS

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MOZ	49	2014	2015	Mozambique

Indicators, Variables, Or Resource Contents

• This repo preserves one source tabular resource with its usable columns kept together.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier assigned during Electric Sheep Africa engineering.	moz-ine-nada-19-753:capa:0
country_iso3	dictionary<values=string, indices=int8, ordered=0>	ISO3 country or area code.	MOZ
country_name	dictionary<values=string, indices=int8, ordered=0>	Country or area name.	Mozambique
source_sheet	string	Source column from the original resource.	CAPA
column_1	string	Source column from the original resource.	``
column_2	string	Source column from the original resource.	NOME DE INQUIRIDOR (A)
column_3	string	Source column from the original resource.	``
column_4	string	Source column from the original resource.	``
column_5	string	Source column from the original resource.	``
source_period_start_year	int64	Start year inferred from source metadata.	2014
source_period_end_year	int64	End year inferred from source metadata.	2015
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2014-2015
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	Instituto Nacional de Estatistica
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	Relatório Final do Inquérito ao Orçamento Familiar 2014-2015, IOF-201...
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Questionário para os Membros das Comunidades
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	MOZ-INE-IOF-2014-2015-V01
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	moz-ine-nada-19-753
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://mozdata.ine.gov.mz/index.php/catalog/19/download/753
license_id	dictionary<values=string, indices=int8, ordered=0>	Source license identifier.	other-open
retrieved_at	dictionary<values=string, indices=int8, ordered=0>	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-08-07T22:10:37Z
d_1	string	Source column from the original resource.	``
a_a_vila_melhorou_economicamente_devido_a_actividade	string	Source column from the original resource.	``
d_1_sim	string	Source column from the original resource.	``
column_8	string	Source column from the original resource.	``
column_9	string	Source column from the original resource.	``
column_10	string	Source column from the original resource.	``
d_2_nao	string	Source column from the original resource.	``
d_1_envolvida_o_na_agricultura	string	Source column from the original resource.	``
column_11	string	Source column from the original resource.	``
observacoes_do_a_inquiridor_a_para_ser_preenchido_imedia	string	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mozambique-relatorio-final-do-inquerito-ao-orcamento-familiar-2014-20-b5e3a2d9")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

print(df.info())
print(df.head())

Filter By Geography

if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "MOZ"]

Time-Series Pattern

if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

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

• Source: Instituto Nacional de Estatistica
• Publisher: Instituto Nacional de Estatistica
• Portal: https://mozdata.ine.gov.mz
• Resource: Questionário para os Membros das Comunidades
• License: other-open
• Retrieved/generated: 2026-08-07T22:11:47Z
• Hugging Face repo: electricsheepafrica/africa-mozambique-relatorio-final-do-inquerito-ao-orcamento-familiar-2014-20-b5e3a2d9

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

• Track mobility over time
• Compare routes or geographies
• Join with economic and population data
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_mozambique_relatorio_final_do_inquerito_ao_orcamento_familiar_2014_20_b5e_2015,
  title        = {Relatorio Final Do Inquerito Ao Orcamento Familiar 2014 20 | Africa (Instituto Nacional de Estatistica)},
  author       = {Instituto Nacional de Estatistica},
  year         = {2015},
  url          = {https://mozdata.ine.gov.mz/index.php/catalog/19/related-materials},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mozambique-relatorio-final-do-inquerito-ao-orcamento-familiar-2014-20-b5e3a2d9}}
}

License

Released under other-open.

Original data is published by Instituto Nacional de Estatistica. 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.

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Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://mozdata.ine.gov.mz/index.php/catalog/19/related-materials