crime: Chicago Crime data from 2001 to 2019
In dannyjameswilliams/danielR: Collection of Danny's R Code

crime

R Documentation

Chicago Crime data from 2001 to 2019

Description

A randomly shuffled subset of the dataset of reported crimes in the city of Chicago in the period 2001 to 2019.

Usage

data(crime)

Format

A data frame with 48,130 rows and 25 variables:

Date: date of which the crime was reported
Primary Type: type of crime that was reported, one of a finite amount of options
Description: description of the reported crime
Location Description: type of place where the crime was committed
Arrest: logical; if TRUE, then the crime resulted in an arrest
Domestic: logical; if TRUE, then the incident was domestic-related
Beat: the beat where the crime occurred (smallest police geographical area)
District: police district where the crime occurred
Ward: the ward (City Council district) in Chicago where the crime occurred
Community Area: the community area where the incident occurred
Year: year when the crime happened
Latitude: latitude co-ordinate (in degrees) of the block where the crime occurred
Longitude: longitude co-ordinate (in degrees) of the block where the crime occurred
Hour: estimated hour of the day when the crime happened
dist_from_station: distance in km from the nearest police station (from where the crime happened)
COMMUNITY AREA NAME: name of the community area
PERCENT OF HOUSING CROWDED: Percentage of occupied housing units, in the community area, with more than one person per room
PERCENT HOUSEHOLDS BELOW POVERTY: Percentage of households, in the community area, that are living below the federal poverty level
PERCENT AGED 16+ UNEMPLOYED: Percentage of persons, in the community area, that are over the age of 16 years that are unemployed
PERCENT AGED 25+ WITHOUT HIGH SCHOOL DIPLOMA: Percentage of persons in the community area that are over the age of 25 years without a high school education
PERCENT AGED UNDER 18 OR OVER 64: Percent of the population of the community area under 18 or over 64 years of age
PER CAPITA INCOME: Community Area Per capita income; estimated as the sum of tract-level aggregate incomes divided by the total population
HARDSHIP INDEX: Score that incorporates each of the six selected socioeconomic indicators
Crime Density: crime density as fit by a kernel density estimator
Population Density: population density as fit by a kernel density estimator