Problem Description:
Cardiovascular diseases (CVDs) are the number 1 cause of death globally, taking an estimated 17.9 million lives each year, which accounts for 31% of all deaths worldwide.
Heart failure is a common event caused by CVDs and this dataset contains 12 features that can be used to predict mortality by heart failure.
Most cardiovascular diseases can be prevented by addressing behavioral risk factors such as tobacco use, unhealthy diet and obesity, physical inactivity and harmful use of alcohol using population-wide strategies.
People with cardiovascular disease or who are at high cardiovascular risk (due to the presence of one or more risk factors such as hypertension, diabetes, hyperlipidemia or already established disease) need early detection and management. Therefore, the report on the heart failure need to be done.
You are part of the research team that conduct on this research. Then, your and team are needed to prepare a report on the Cardiovascular diseases (CVDs). You will use descriptive statistics and your knowledge of continuous distributions to complete this task. Data are given in csv format.
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