Insurance Claims Analysis

The dataset contains information on patient age, gender, BMI (Body Mass Index), blood pressure levels, diabetic status, number of children, smoking status and region. By analyzing these key factors across geographical areas and across different demographics such as age or gender we can gain a greater understanding of who is most likely to receive an insurance claim. This understanding gives us valuable insight that can be used to inform our decision making when considering potential customers for our services. On a broader scale it can inform public policy by allowing for more targeted support for those who are most in need and vulnerable. These kinds of insights are extremely valuable and this dataset provides us with the tools we need to uncover them

Data set taken from - https://data.world/sumitrock

• Identifying trends in insurance claims based on age, gender, BMI, and blood pressure.
• Developing targeted marketing campaigns for customers at high risk of making an insurance claim.
• Investigating correlations between health traits (such as BMI and blood pressure) with the likelihood of making a claim

Key Insights

• Majority of patients are smokers ( 82%)
• Average Patient has a blood pressure of 94.16 within the age bracket of 25-40 years old this is also evident with the high cost of claims in the line graph indicating the same age group.
• 69% has at least 1 child.
• The high cost of claims comes from the SouthWest & NorthWest region.