This dataset contains information about heart attacks in youth (under 25 years) and adults (25+ years) across various states in Germany from 2015 to 2023. Each row represents one individual and includes details about their health, lifestyle, and environment. The data is unevenly distributed to make analysis more interesting.
Insights That Can Be Derived
- For Beginners
State Comparison: Which states have the highest or lowest heart attack cases?
Youth vs. Adult: Are heart attacks more common in adults than youth?
Gender Trends: Do men or women experience more heart attacks?
Lifestyle Impact: How does smoking or diet quality affect heart attack rates?
- For Intermediate Analysts
Risk Factor Analysis: Which factors (BMI, hypertension, cholesterol, etc.) are strongly linked to heart attacks?
Statewise Patterns: Are rural or urban areas more affected in certain states?
Time Trends: Have heart attack rates increased or decreased over the years?
Socioeconomic Status Impact: Does being in a low-income group increase heart attack risk?
- For Advanced Analysts
Predictive Modeling: Can we predict heart attacks using health and lifestyle data?
Clustering Analysis: Are there groups of people with similar risk profiles?
Causal Inference: Does high air pollution directly contribute to heart attack rates?
Interaction Effects: How do multiple factors (e.g., BMI and physical activity) combine to affect risk?