dataset that includes various attributes about drivers, cars, and car crashes
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A data frame with 500 rows and 31 variables:
Obs
double
ID
double
Crash
double 0/1 indicator for crash where 1 indicates a crash
CrashCost
double cost to insurance company of crash
DriverAge
double age of driver
LevelEducation
character level education of driver
YearsJob
double years on current job
Income
double income in US dollars
SexofDriver
character sex, male or female
TypeofJob
character job type
TimeCommute
double in minutes, length of regular work commute
PointsonRecord
double number points on driving record
LicenseRevoked
character 0/1 indicator, 1 indicates has had license revoked
ValueofHome
double in US dollars, value of home
MaritalStatus
character indicator marital status
SingleParent
character indicator single parent status
NumberKidsHome
double
NumberKidsDrive
double
UrbanorRural
character where driver typically lives & drives
AgeofCar
double
TypeofCar
character
TypeCarUse
character how vehicle is typically used
BlueBookValue
double replacement value from Blue Book
RedCar
character indicator for red cars
TimeasCustomer
double number years driver has been a customer
NumberClaims5yr
double number of claims in last 5 years
Total5YrPayout
double US dollar value payouts of claims in last 5 years
NotWorking
character indicator working or not
NewCar
character indicator, new car or not
GoodDriver
character indicator, good driver or not, based on points
OwnHome
character indicator, own or rent, based on home value
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