The goal of this project is to analyse the heart disease occurrence, based on a combination of features that describes the heart disease.
Poblem Statement ❓
Health is real wealth in the pandemic time we all realized the brute effects of covid 19 on all irrespective of any status. You are required to analyse this health and medical data for better future preparation.
Dataset Link -https://drive.google.com/drive/folders/165Pjmfb9W9PGy0rZjHEA22LW0Lt3YQ8
Technology - Business Intelligence
Domain - Healthcare
Tableau Public Dashboard link - https://public.tableau.com/app/profile/vikas6317/viz/HeartdiseasediagnosticAnalysis-IneuronInternship/HeartDiseaseDiagnosticAnalysis?publish=yes
Programming language used - Python
Tools 🛠 Jupyter Notebook, MS Excel, Tableau Public, Data studio.
Conclusion 💡 -45.87% People suffering from heart disease.
-Elderly Aged Men are more (50 to 60 Years) and Females are more in 55 to 65 Years Category
-Males are more prone to heart disease.
-Elderly Aged People are more prone to heart disease.
-People having asymptomatic chest pain have a higher chance of heart disease.
-High number of cholesterol level in people having heart disease.
-Blood Pressure increases between age of 50 to 60 and somehow continue till 70.
-Cholesterol and maximum heart rate Increasing in the age group of 50 60.
-ST depression mostly increases between the age group of 30 40