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metadata
license: other
language:
  - en
task_categories:
  - tabular-classification
  - tabular-regression
multilinguality: multilingual
size_categories:
  - n<1K
tags:
  - tabular
  - africa
  - open-data
  - official-statistics
  - mozambique
  - demovis
  - transport
  - verbete-inquerito-mensal-aos-tribunais
  - novo-verbete-tribunais12052021-xlsx
  - '2020'
  - survey
  - document
  - questionnaire-doc
  - qst
  - questionarios
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-00000-of-00001.parquet
pretty_name: Inquerito Crime E Justica 2020 | Africa (DEMOVIS)

Inquerito Crime E Justica 2020 | Africa (DEMOVIS)

459 rows - 1 Africa country/area - 2020 - source table - Engineered by Electric Sheep Africa

rows countries period indicators license

TL;DR

This dataset contains 459 rows from DEMOVIS, covering Inquerito Crime E Justica 2020. 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: year.
  • Time coverage basis: year.
  • Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension Value
Rows 459
Countries/areas 1
First period 2020
Last period 2020
Indicators 0
Columns 40
Source format XLSX

Geographic Coverage

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

Area Rows First year Last year Name
MOZ 459 2020 2020 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-60-338:tribunais: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. Tribunais
year int64 Observation year. 2020
column_1 string Source column from the original resource. Querela
reus_presos string Source column from the original resource. ``
column_3 string Source column from the original resource. ``
reus_nao_presos string Source column from the original resource. ``
column_5 string Source column from the original resource. ``
reus_presos_2 string Source column from the original resource. ``
column_7 string Source column from the original resource. ``
reus_nao_presos_2 string Source column from the original resource. ``
column_9 string Source column from the original resource. ``
reus_presos_3 string Source column from the original resource. ``
column_11 string Source column from the original resource. ``
reus_nao_presos_3 string Source column from the original resource. ``
column_13 string Source column from the original resource. ``
reus_presos_4 string Source column from the original resource. ``
column_15 string Source column from the original resource. ``
reus_nao_presos_4 string Source column from the original resource. ``
column_17 string Source column from the original resource. ``
reus_presos_5 string Source column from the original resource. 0
column_19 string Source column from the original resource. ``
column_20 string Source column from the original resource. ``
reus_nao_presos_5 string Source column from the original resource. 0
source_period_start_year int64 Start year inferred from source metadata. 2020
source_period_end_year int64 End year inferred from source metadata. 2020
source_period_label dictionary<values=string, indices=int8, ordered=0> Source column from the original resource. 2020
source_provider dictionary<values=string, indices=int8, ordered=0> Publishing organization. DEMOVIS
source_dataset dictionary<values=string, indices=int8, ordered=0> Source dataset or package title. Inquerito Crime e Justica 2020
source_resource dictionary<values=string, indices=int8, ordered=0> Source resource title, table name, or file name. Verbete - Inquérito Mensal aos Tribunais
source_package_id dictionary<values=string, indices=int8, ordered=0> Source package identifier. MZ-JC-2020
source_resource_id dictionary<values=string, indices=int8, ordered=0> Source resource identifier. moz-ine-nada-60-338
source_url dictionary<values=string, indices=int8, ordered=0> Original source URL or download URL. https://mozdata.ine.gov.mz/index.php/catalog/60/download/338
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
caracteristicas string Source column from the original resource. ``
verbete_vigente string Source column from the original resource. ``
verbete_actualizado string Source column from the original resource. ``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mozambique-inquerito-crime-e-justica-2020-7acd4028")
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

  • 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

  • Track mobility over time
  • Compare routes or geographies
  • Join with economic and population 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

@misc{electric_sheep_africa_africa_mozambique_inquerito_crime_e_justica_2020_7acd4028_2020,
  title        = {Inquerito Crime E Justica 2020 | Africa (DEMOVIS)},
  author       = {DEMOVIS},
  year         = {2020},
  url          = {https://mozdata.ine.gov.mz/index.php/catalog/60/related-materials},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mozambique-inquerito-crime-e-justica-2020-7acd4028}}
}

License

Released under other-open.

Original data is published by DEMOVIS. 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 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://mozdata.ine.gov.mz/index.php/catalog/60/related-materials