Heart disease is the biggest killer of both men and women in the United States and around the world. Statistical analysis has identified many risk factors associated with heart disease. In this project, we run statistical tests and regression models using the Cleveland heart disease dataset to assess one particular factor – the maximum heart rate one can achieve during exercise and how it is associated with a higher likelihood of getting heart disease.

In this project, we visualize COVID-19 data from the first several weeks of the outbreak to see at what point this virus became a global pandemic.

The overall goal here is simply to examine how household energy usage varies over a 2-day period in February, 2007.

We analyse the Hospital Data of US and analyse it to rank the hospitals according to states and overall.

Analysis of US Air Pollution Data

This assignment makes use of data from a personal activity monitoring device. This device collects data at 5-minute intervals throughout the day. The data consists of two months of data from an anonymous individual collected during the months of October and November 2012 and includes the number of steps taken in 5-minute intervals each day.

Exploring the U.S. National Oceanic and Atmospheric Administration’s (NOAA) storm database for its Health and Economic Impacts