crimedatasets

The crimedatasets package provides a comprehensive collection of datasets exclusively focused on crimes, criminal activities, and related topics. This package serves as a valuable resource for researchers, analysts, and students interested in crime analysis, criminology, and socio-economic studies related to criminal behavior.

The datasets included span global and local contexts, offering both tabular and spatial data. Each dataset is named with a suffix indicating its structure or type, making it easier to identify and work with the data.

Installation

You can install the crimedatasets package from CRAN with the following R function:

install.packages("crimedatasets")

Usage

After installation, you can load the package and begin exploring the datasets. The consistent naming convention helps you easily understand the structure of each dataset:

• _tbl_df: Tibble.
• _table: Table.
• _sf: Simple Features (spatial data).
• _ts: Time series.

Example Code:

# Load the package
library(crimedatasets)

# Load a dataset
data("Abilene_tbl_df")

# View the dataset
head(Abilene_tbl_df)

# Load another dataset
data("nz_murders_sf")

# Summary of the spatial dataset
summary(nz_murders_sf)

Example Datasets

Here are some example datasets included in the crimedatasets package:

• Abilene_tbl_df: Crime Records of Abilene, Texas, USA (_tbl_df for tibble).
• CyberSecurityBreaches_df: Cybersecurity Breaches Reported to US Health Department (_df for data frame).
• TerrorismGlobal_table: Global Terrorism Database (GTD) Yearly Summaries (_table for tabular data).
• nz_murders_sf: Murders in New Zealand (2004 - 2019) (_sf for spatial data).
• wmurders_ts: Annual Female Murder Rate in the USA (1950-2004) (_ts for time series).