This dataset about "Health care: Data set on Heart attack possibility" Originally published at Kaggle: Heart Disease UCI

This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one that has been used by ML researchers. you can find the full data with 76 features at machine learning repository: Heart Disease Data Set

color represent gender

Attribute

• age
• sex
• cp : chest pain type (4 values)
• trestbps: resting blood pressure
• chol: serum cholestoral in mg/dl
• fbs: fasting blood sugar > 120 mg/dl
• restecg: resting electrocardiographic results (values 0,1,2)
• thalach: maximum heart rate achieved
• exang: exercise induced angina
• oldpeak = ST depression induced by exercise relative to rest
• slope: the slope of the peak exercise ST segment
• ca: number of major vessels (0-3) colored by flourosopy
• thal: 0 = normal; 1 = fixed defect; 2 = reversable defect
• target: 0= less chance of heart attack 1= more chance of heart attack

Some questions

• What are most resons for heart attack possibility
• What are the most ages groups for heart attack
• What are the top resons for heart attacks