A curated collection of crime-related datasets for data analysis, criminology research, and education. Includes international crime statistics, incarceration data, mass shootings, hate crimes, and more from Kaggle sources.
Project description
crimedatasets
The crimedatasets package provides a curated collection of crime-related datasets from around the world, designed for data analysis, criminology research, and education in Python.
It includes extensive data on mass shootings, hate crimes, incarceration statistics, serial killers, corruption indexes, and criminal justice metrics spanning multiple countries including the United States, Germany, Russia, Spain, France, Sweden, Switzerland, and Scotland.
Installation
You can install the crimedatasets package from PyPI:
pip install crimedatasets
Usage
import crimedatasets as crd
# List all available datasets
datasets = crd.list_datasets()
print(datasets)
# Load a specific dataset
df = crd.load_dataset('us_mass_shootings')
print(df.head())
📊 Some Available Datasets
Related-Crimes Datasets
| Dataset | Description | Period |
|---|---|---|
berlin_crimes |
Crime in Berlin, Germany | 2012 - 2019 |
texas_deathrow |
Texas death row inmates | 1976 - 2018 |
russia_crimes |
The number of crimes in Russia | 2008-2023 |
arrests_national_juvenile |
Arrests of juveniles in the US by crime category | 1995-2016 |
The crimedatasets library is released under the MIT License, allowing free use for both commercial and non-commercial purposes.
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