Description Usage Format Source
Simulated data about auto insurance company and value of customer, by IBM
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A data frame with 9134 rows and 24 variables:
customer
character Customer ID
state
character U.S. state of residence
customer_lifetime_value
double value of customer to company in USD
response
character unsure what this is: if responded to marketing?
coverage
character type of auto insurance policy
education
character level of education
effective_to_date
character
employment_status
character employment status
gender
character gender
income
double income, USD
location_code
character type of location of policyholder residence
marital_status
character marital status
monthly_premium_auto
double monthly cost of auto premium
months_since_last_claim
double number of months since last claim
months_since_policy_inception
double months since became a policyholder
number_of_open_complaints
double number of open complaints (unsure made by whom about who)
number_of_policies
double number of policies (other insurance policies by same company)
policy_type
character type of auto policy
policy
character further breakdown of type of auto policy
renew_offer_type
character what type of renewal offer were they given?
sales_channel
character sales channel
total_claim_amount
double total amount of claims made by policyholder?? seems low
vehicle_class
character type of vehicle insured
vehicle_size
character size of insured vehicle
https://www.kaggle.com/pankajjsh06/ibm-watson-marketing-customer-value-data
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