Travel Assured is a travel insurance company. Due to the COVID pandemic, they have had to cut their marketing budget by over 50%. It is more important than ever that they advertise in the right places and to the right people. Travel Assured has plenty of data on their current customers as well as people who got quotes but never bought insurance. They want to know if there are differences in the travel habits between customers and non-customers - they believe they are more likely to travel often (buying tickets from frequent flyer miles) and travel abroad, You will be presenting to the CEO.
- Age : Numeric, the customer’s age
- Employment Type : Character, the sector of employment
- GraduateOrNot : Character, whether the customer is a college graduate
- AnnualIncome : Numeric, the customer’s yearly income
- FamilyMembers : Numeric, the number of family members living with the customer
- ChronicDiseases : Numeric, whether the customer has any chronic conditions
- FrequentFlyer : Character, whether a customer books frequent tickets
- EverTravelledAbroad : Character, has the customer ever travelled abroad
- TravelInsurance : Numeric, whether the customer bought travel insurance
- Importing libraries
- Importing Data
- Cleaning Data
- Exploratory Data Analysis
- Conclusions
- We note that the customers who Didn't bought insurance (61.8%) rate is large
- I don't think age has anything to do with buying Travel insurance
- The customer's type of employment is the private sector / self-employed and their percentage is (71.3%), where the percentage of their purchases is 0.410959, while the percentage of their purchases in the government sector is 0.329759, so we must give this category some attention in our Marketing campaign.
- that high-income customer buy travel insurance more, so we should care about that
- When Customer is Frequent Flyer, the probability of buying travel insurance is greater.
- Customers who traveled abroad want to buy travel insurance more than others, approximately 0.7