license: other
language:
- en
task_categories:
- tabular-classification
- tabular-regression
multilinguality: multilingual
size_categories:
- 1K<n<10K
tags:
- tabular
- africa
- open-data
- official-statistics
- mozambique
- demovis
- transport
- verbetes-inquerito-mensal-aos-comandos-da-policia
- novo-verbete-comandosprm03092020-1-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)
1,150 rows - 1 Africa country/area - 2020 - source table - Engineered by Electric Sheep Africa
TL;DR
This dataset contains 1,150 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_iso3where available plus source-specific keys.
Coverage
| Dimension | Value |
|---|---|
| Rows | 1,150 |
| Countries/areas | 1 |
| First period | 2020 |
| Last period | 2020 |
| Indicators | 0 |
| Columns | 60 |
| Source format | XLSX |
Geographic Coverage
Top areas shown below, sorted by row count when available:
| Area | Rows | First year | Last year | Name |
|---|---|---|---|---|
MOZ |
1,150 | 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-60-337:policia: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. | Policia |
year |
int64 |
Observation year. | 2020 |
tipos_de_crimes |
string |
Source column from the original resource. | Titulo 1- CRIMES CONTRA PESSOAS |
conhecidos |
string |
Source column from the original resource. | `` |
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. | `` |
column_6 |
string |
Source column from the original resource. | `` |
column_7 |
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. | `` |
esclarecidos |
string |
Source column from the original resource. | `` |
column_11 |
string |
Source column from the original resource. | `` |
column_12 |
string |
Source column from the original resource. | `` |
column_13 |
string |
Source column from the original resource. | `` |
column_14 |
string |
Source column from the original resource. | `` |
column_15 |
string |
Source column from the original resource. | `` |
column_16 |
string |
Source column from the original resource. | `` |
nao_esclarecidos |
string |
Source column from the original resource. | `` |
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. | Verbetes - Inquérito Mensal aos Comandos da Polícia |
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-60-337 |
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/337 |
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 |
column_10 |
string |
Source column from the original resource. | `` |
column_17 |
string |
Source column from the original resource. | `` |
column_1 |
string |
Source column from the original resource. | `` |
h |
string |
Source column from the original resource. | `` |
m |
string |
Source column from the original resource. | `` |
h_2 |
string |
Source column from the original resource. | `` |
m_2 |
string |
Source column from the original resource. | `` |
h_3 |
string |
Source column from the original resource. | `` |
m_3 |
string |
Source column from the original resource. | `` |
h_4 |
string |
Source column from the original resource. | `` |
m_4 |
string |
Source column from the original resource. | `` |
h_5 |
string |
Source column from the original resource. | `` |
m_5 |
string |
Source column from the original resource. | `` |
h_6 |
string |
Source column from the original resource. | `` |
m_6 |
string |
Source column from the original resource. | `` |
h_7 |
string |
Source column from the original resource. | `` |
m_7 |
string |
Source column from the original resource. | `` |
h_8 |
string |
Source column from the original resource. | `` |
m_8 |
string |
Source column from the original resource. | `` |
h_9 |
string |
Source column from the original resource. | `` |
m_9 |
string |
Source column from the original resource. | `` |
h_10 |
string |
Source column from the original resource. | `` |
m_10 |
string |
Source column from the original resource. | `` |
h_11 |
string |
Source column from the original resource. | `` |
m_11 |
string |
Source column from the original resource. | `` |
h_12 |
string |
Source column from the original resource. | `` |
m_12 |
string |
Source column from the original resource. | `` |
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-mozambique-inquerito-crime-e-justica-2020-0a8badad")
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
- Source: DEMOVIS
- Publisher: DEMOVIS
- Portal: https://mozdata.ine.gov.mz
- Resource: Verbetes - Inquérito Mensal aos Comandos da Polícia
- License: other-open
- Retrieved/generated:
2026-08-07T22:11:08Z - Hugging Face repo: electricsheepafrica/africa-mozambique-inquerito-crime-e-justica-2020-0a8badad
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_iso3as the safest geography join key when present
Citation
@misc{electric_sheep_africa_africa_mozambique_inquerito_crime_e_justica_2020_0a8badad_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-2020-0a8badad}}
}
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