policy_data: Insurance Policy Data
In mangoTraining: Mango Solutions Training Datasets

Insurance Policy Data

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policy_data

policyData

A data frame with 926 observations on the following 13 variables.

Year: The four digit year of the policy
PolicyNo: The policy number
TotalPremium: The total insurance premium
BonusMalus: Discount level
WeightClass: The weight class of the car
Region: Region of the car owner
Age: Age of the main driver
Mileage: Estimated annual mileage
Usage: Car usage
PremiumClass: Class of the car
NoClaims: Number of previous claims
GrossIncurred: Claim cost
Exposure: How long they have been driving

This dataset has be renamed using tidyverse-style snake_case naming conventions. However the original name of the dataset has been kept to ensure backwards compatibility with the book SAMS Teach Yourself R in 24 Hours (ISBN: 978-0-672-33848-9).

Simulated based on details of how to simulate car insurance data in Modern Actuarial Risk Theory Using R 2nd Edition (Rob Kaas, Marc Goovaerts, Jan Dhaene, Michel Denuit)

mangoTraining documentation built on April 28, 2021, 9:07 a.m.