crimOffenders_df: Criminal Offenders Screened in Florida
In crimedatasets: A Comprehensive Collection of Crime-Related Datasets

crimOffenders_df

R Documentation

Criminal Offenders Screened in Florida

Description

This dataset contains information on criminal offenders who were screened in Florida during 2013-2014.

Usage

data(crimOffenders_df)

Format

A data frame with 5,855 observations and 16 variables:

age: Age of the offender (numeric).
juv_fel_count: Number of juvenile felonies committed (numeric).
decile_score: COMPAS score decile (numeric).
juv_misd_count: Number of juvenile misdemeanors committed (numeric).
juv_other_count: Number of other juvenile convictions (numeric).
v_decile_score: Predicted decile score of the offender (numeric).
priors_count: Number of prior crimes committed (numeric).
sex: Gender of the offender (factor with levels 'Female' and 'Male').
two_year_recid: Recidivism within two years (factor with levels 'Yes' and 'No').
race: Race of the offender (factor with levels 'White', 'Black', 'Hispanic', 'Asian', 'Other', 'Native').
c_jail_in: Date of entry into jail (normalized between 0 and 1, numeric).
c_jail_out: Date of release from jail (normalized between 0 and 1, numeric).
c_offense_date: Date the offense was committed (numeric).
screening_date: Date the offender was screened (numeric).
in_custody: Date the offender was placed in custody (numeric, normalized between 0 and 1).
out_custody: Date the offender was released from custody (numeric, normalized between 0 and 1).

Details

The dataset name has been changed to 'crimOffenders_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the crimedatasets package and assists users in identifying its specific characteristics. The suffix 'df' indicates that the dataset is a traditional data frame in R. The original content has not been modified in any way.