Heart Attack Analysis in Germany
Tool Used: Microsoft Power BI
Dataset: Synthetic patient data representing heart attack cases across different states in Germany
Project Overview
This Power BI project presents a comprehensive analysis of heart attack cases in Germany. The report examines how various factors such as smoking habits, gender, and age groups correlate with the prevalence of heart disease. The objective is to derive meaningful insights that can support health awareness and guide potential preventive strategies.
Key Visuals and Features
State-wise distribution of heart attack cases (Pie Chart)
Gender-based analysis using KPI cards
Age group segmentation and trends (Bar Chart)
Comparison of smokers and non-smokers among patients
Average health score analysis by country
Interactive filters for dynamic data exploration
Key Insights
A significant percentage of heart attack patients are smokers, highlighting smoking as a major contributing factor.
The most affected age groups are middle-aged and elderly individuals, which aligns with known cardiovascular trends.
Male patients are more frequently affected than female patients, indicating possible gender-related risk differences.
Certain German states report higher numbers of cases, which may be associated with population density or regional lifestyle factors.
The average health score varies by country, with Germany serving as the central focus in this analysis.
Conclusion
This report offers a clear and insightful overview of the demographic and behavioral patterns linked to heart attacks in Germany. By visualizing this data in a user-friendly format, it serves as a valuable resource for identifying at-risk groups and regions. The findings can help inform healthcare planning and contribute to targeted public health initiatives.
ted public health initiatives.
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