The objective of this project is to analyze the occurrence of heart disease by examining a combination of key features and attributes associated with its diagnosis.
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 analyze this health and medical data for better future preparation.
https://drive.google.com/file/d/1-LggZ4JQSSAUi65m1eag3NW1hZg2MisQ/view?usp=sharing
Business Intelligence
Healthcare
Advanced
Python
Numpy, Pandas, Matplotlib, Seaborn
Jupyter Notebook, Power BI, MS Excel
- Around 46% of people are suffering from heart disease.
- A higher proportion of elderly men fall within the 50 to 60-year age group, while a greater number of elderly women are in the 55 to 65-year age range.
- Men are more prone to heart disease.
- Elderly people are more prone to heart disease
- People having asymptomatic chest pain have a higher chance of heart disease.
- The high number of cholesterol levels in people having heart disease.
- Blood pressure increases between the ages of 50 to 60 and somehow continues till 70.
- Cholesterol and maximum heart rate Increase in the age group of 50-60.
- ST depression is more pronounced in the age groups of 30-40 and near about 55.
