dataset that includes various attributes about drivers, cars, and car crashes
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A data frame with 500 rows and 31 variables:
Obsdouble
IDdouble
Crashdouble 0/1 indicator for crash where 1 indicates a crash
CrashCostdouble cost to insurance company of crash
DriverAgedouble age of driver
LevelEducationcharacter level education of driver
YearsJobdouble years on current job
Incomedouble income in US dollars
SexofDrivercharacter sex, male or female
TypeofJobcharacter job type
TimeCommutedouble in minutes, length of regular work commute
PointsonRecorddouble number points on driving record
LicenseRevokedcharacter 0/1 indicator, 1 indicates has had license revoked
ValueofHomedouble in US dollars, value of home
MaritalStatuscharacter indicator marital status
SingleParentcharacter indicator single parent status
NumberKidsHomedouble
NumberKidsDrivedouble
UrbanorRuralcharacter where driver typically lives & drives
AgeofCardouble
TypeofCarcharacter
TypeCarUsecharacter how vehicle is typically used
BlueBookValuedouble replacement value from Blue Book
RedCarcharacter indicator for red cars
TimeasCustomerdouble number years driver has been a customer
NumberClaims5yrdouble number of claims in last 5 years
Total5YrPayoutdouble US dollar value payouts of claims in last 5 years
NotWorkingcharacter indicator working or not
NewCarcharacter indicator, new car or not
GoodDrivercharacter indicator, good driver or not, based on points
OwnHomecharacter indicator, own or rent, based on home value
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