Tableau Dashboard Link

The goal of this dashboard was to analyze and identify the factors that significantly affect the cost of health insurance for an individual in US.

• Data: 1338 rows of insured data, with insurance charges against the attributes of Age, Sex, BMI, Number of Children, Smoker, and Region

• Insights: Found factors that significantly affect health insurance costs, including gender, smoking status, BMI, age, and region.

• Goal: Analyze the relationship between insured attributes & health insurance charges, provide valuable insights for health insurance companies & individuals

• Skills: Exploratory Data Analysis, Data Visualization, Dashboard Creation

Overall the dashboard summarizes the data to highlight the following insights:

• On average, females have lower health insurance.
• On average, smokers have a higher health insurance cost compared to non-smokers regardless of age.
• Southeast US has the highest price for average health insurance.
• There is no significant difference in healthcare insurance cost based on the number of children.
• On average, individuals who smoke and have a higher BMI have significantly higher insurance price.
• Seniors have a much higher insurance rate compared to younger individuals.