ABSTRACT
Cardiovascular disease (CVD) remains the leading cause of death in the United States, responsible for 840,768 deaths (635,260 cardiac) in 2016. From 2006 to 2016, the US death rate from CVD increased by 18.6% and from coronary heart disease by 31.8%. The major causes of CVD are cholesterol, blood pressure, physical inactivity, an unhealthy diet, and the harmful use of alcohol. The aim is to find the risk factors which contribute more to the cause of cardiovascular disease. Using exploratory data analysis techniques to analyze the dataset to predict the risk factors. The analysis involves analyzing each attribute's data and removing or correcting the inaccurate data. The graph analysis found that women are more affected by cardiovascular disease compared with men. The risk of disease increases steadily with age. While most victims are middle-aged people even those who are doing physical activity and not smoking. This report holds several graphical analyses that help doctors to make a more accurate decision about the cardiovascular disease risk level for patients.
