| auto_claim {ExamPAData} | R Documentation |
Automotive claims
Description
Automotive claims
Usage
auto_claim
Format
data.frame, 10296 observations of 29 variables:
- POLICYNO
Policy number.
- PLCYDATE
Date that policy was signed.
- CLM_FREQ5
Number of claims.
- CLM_AMT5
Aggregate claim loss of policy (in thousands).
- CLM_AMT
- KIDSDRIV
Number of child passengers.
- TRAVTIME
Time to commute.
- CAR_USE
(1) Private or (2) commercial use.
- BLUEBOOK
(log) car value.
- RETAINED
Whether the policy was retained or not.
- NPOLICY
Number of policies.
- CAR_TYPE
(0-1 dummy variables) Type of car : (base) Panel Truck, (2) Pickup,(3) Sedan, (4) Sports Car, (5) SUV, (6) Van
- RED_CAR
Whether the color of the car is (2) car or (1) not.
- REVOLKED
Whether the policyholder's license was (2) revoked in the past or (1) not.
- MVR_PTS
Number of motor vehicle record points.
- CLM_FLAG
Whether there was a claim or not.
- AGE
Age.
- HOMEKIDS
Number of children at home.
- YOJ
Year of job.
- INCOME
Annual income.
- GENDER
Gender of policyholder : (1) female or (2) male.
- MARRIED
Whether the policyholder is (2) married or (1) not.
- PARENT1
Whether (2) the policyholder grew up in a single-parent family or (1) not.
- JOBCLASS
(0-1 dummy variables) Job class of policyholder: (base) Unknown, (2) Blue Collar, (3) Clerical, (4) Doctor, (5) Home Maker, (6) Lawyer, (7) Manager, (8) Professional, (9) Student
- MAX_EDUC
(0-1 dummy variables) Maximal level of education of policyholder: (base) less than High School, (2) Bachelors, (3) High School, (4) Masters, (5) PhD.
- HOME_VAL
Value of home.
- SAMEHOME
Whether they grew up in the same home as their current home.
- AREA
(1) Rural or (2) urban area.
- IN_YY
Year.