Thrilled to share my latest project where I explored stroke risks based on BMI and Age using real-world healthcare data!

🧠 Goal: Analyze and visualize the correlation between stroke occurrence, BMI status, and age distribution.

🔧 Tools Used:

• 📘 Jupyter Notebook (Python) – for data cleaning & EDA

• 📊 Tableau – for dashboard creation & visualization

📈 Key Insights:

• Stroke rate was 4.87% overall

• Individuals with missing BMI had a higher stroke rate (19.9%)

• Risk increased significantly after age 60, peaking at 75–80 years