In this project, I wrote three functions that utilize two data files related to hospital quality. The functions find hospital rankings on mortality levels for heart attacks, heart failure, and pneumonia.

Each bar shows a state. The actual proportions of race for each state were obtained from the census bureau while the racial proportions per states among those killed by police were calculated using the dataset from the Washington Post

Using the Leaflet package to post the favorite snacks of dogs in my neighborhood.

Using data from accelerometers (devices placed on participants while they exercise), a model was created to predict how the participant was performing the exercise (either correctly or four variations of incorrect form).

This is a brief analysis of the ToothGrowth dataset provided in the datasets package in R. The dataset examines the response in the length of odontoblasts (cells responsible for tooth growth) in 60 guinea pigs to different treatments. Each animal received one of three dose levels (0.5, 1 or 2 mg/day) of either orange juice or ascorbic acid. I compared means to determine if the supplements differed in their efficacy.

The data for this project are from the National Oceanic and Atmospheric Administration's (NOAA) database. The purpose of the analysis was to identify which weather events caused the greatest number of fatalities and injuries as well as identify which events had the highest economic cost.

This is the R code for the final project for the Exploratory Data Analysis course as part of Coursera's data science specialization. The exploratory analysis answers specified questions related to PM2.5 level trends (PM2.5 is fine particulate matter which is believed to be harmful to humans) .

This dataset is from an activity monitoring device used by one person for about 2 months. The device measured the number of steps the person took in intervals of 5 minutes. The code shows values and plots for things such as the average number of steps taken daily per interval, differences between weekday and weekend activity, and imputed values for missing data.