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:
customercharacter Customer ID
statecharacter U.S. state of residence
customer_lifetime_valuedouble value of customer to company in USD
responsecharacter unsure what this is: if responded to marketing?
coveragecharacter type of auto insurance policy
educationcharacter level of education
effective_to_datecharacter
employment_statuscharacter employment status
gendercharacter gender
incomedouble income, USD
location_codecharacter type of location of policyholder residence
marital_statuscharacter marital status
monthly_premium_autodouble monthly cost of auto premium
months_since_last_claimdouble number of months since last claim
months_since_policy_inceptiondouble months since became a policyholder
number_of_open_complaintsdouble number of open complaints (unsure made by whom about who)
number_of_policiesdouble number of policies (other insurance policies by same company)
policy_typecharacter type of auto policy
policycharacter further breakdown of type of auto policy
renew_offer_typecharacter what type of renewal offer were they given?
sales_channelcharacter sales channel
total_claim_amountdouble total amount of claims made by policyholder?? seems low
vehicle_classcharacter type of vehicle insured
vehicle_sizecharacter size of insured vehicle
https://www.kaggle.com/pankajjsh06/ibm-watson-marketing-customer-value-data
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