The milestone or interim report with exploratory analysis, background and next steps

This is part two of the Johns Hopkins University Data Science program. It is a simple R Presentation pitch that represents the work and analysis completed in part 1, which was a Shiny App offering interactive features for plotting and exploratory analysis.

Simple linear regression and general regression analysis of the mtcars dataset to attempt to identify if there is a significant statistical difference between transmission type and mpg.

In this assignment we explore the interaction between tooth growth and supplements.

Comparing exponential and normal distributions using the law of large numbers and the central limit theorem. We explore concepts of large-n size sampling from an exponential distribution and how sampling from a non-normal distribution for large-ns will eventually lead to a sample distribution that is approximately normal.

In this exercise we compared severe weather data from NOAA to identify weather related events that caused the worst damage economically and healthywise. This was an exploration in data cleansing and cataloging and creating reproducible research.