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.