Heart Disease data from UCI.

Inspiration : Kaggle dataset by ronit.

The data is from Cleveland database.

Aim : To find various relationship with the attributes in the data with the risk of heart diseases and other exploratory findings.

Attribute Information:

1. Age
2. Sex
3. Chest Pain Type (4 values)
4. Resting Blood Pressure
5. Serum Cholestoral in mg/dl
6. Fasting Blood Sugar > 120 mg/dl
7. Resting Electrocardiographic Results (values 0,1,2)
8. Maximum Heart Rate Achieved
9. Exercise Induced Angina
10. Oldpeak = ST Depression Induced By Exercise Relative To Rest
11. The Slope of the Peak Exercise ST Segment
12. Number of Major Vessels (0-3) Colored by Flourosopy
13. Thal: 3 = Normal; 6 = Fixed Defect; 7 = Reversable Defect