The Shiny application I created is an interactive demonstration of Central Limit Theorum. This builds off of the final project from the Statistical Inference course, in the Data Science Specialization on Coursera, offered by Johns Hopkins University. The exponential distribution can be simulated in R with `rexp(n, lambda)` where lambda is the rate parameter. The mean of exponential distribution is `1/lambda` and the standard deviation is also `1/lambda`. In our demonstration we treat this as our null hypothesis essentially. We set `lambda = 0.2` for all of the simulations, and a default number of samples of 40. The default number of simulations is set at 100.

This project is an exploration of the U.S. National Oceanic and Atmospheric Administration's (NOAA) storm database. This database tracks characteristics of major storms and weather events in the United States, including when and where they occur, as well as estimates of any fatalities, injuries, and property or crop damage. NOAA has maintained this database of storm events since 1950.

This page is the result of a project from the Developing Data Products course in the Data Science Specialization on Coursera (offered by Johns Hopkins University). The purpose of the project was to create a web page using `R Markdown` that features a map created with `Leaflet`. For my version of the project, I used data from [Open Data NYC](https://opendata.cityofnewyork.us/) on public wifi hotspots throughout New York City. I felt that, in addition to being a good application of the skills from the course, this would be a useful resource to have online in map form. *Note: The resulting map was approached in two different ways, yeilding slightly different results. The reasons for this are explained below, however, both maps are accurate and useable.*

This project involves exploring the U.S. National Oceanic and Atmospheric Administration’s (NOAA) storm database. This database tracks characteristics of major storms and weather events in the United States, including when and where they occur, as well as estimates of any fatalities, injuries, and property or crop damage. NOAA has maintained this database of storm events since 1950. This analysis will investigate the costs and human impact of these disaster events. We will endeavor to answer the questions: 1. Across the United States, which types of events are most harmful with respect to population health? 2. Across the United States, which types of events have the greatest economic consequences?