This [ShinyApp](https://www.shinyapps.io/) allows for interactive exploration of Hadley Wickham\'s IMDB Movie database (see codebook for more details). It was inspired by [Garrett Grolemund's](https://github.com/garrettgman) excellent ['Movie Explorer'](http://shiny.rstudio.com/gallery/movie-explorer.html) app. These plots are currently rendered using `ggplot2` instead of `ggvis` and therefore lacks the interactive tooltip functionality of the original. Code has been modified from the ggplot2-based [Diamond Explorer](https://github.com/rstudio/shinyapps/blob/master/guide/guide.md)

Data Science course at the University of Washington

Extreme weather events can cause serious consequences on the local economy as well as the health of residents. This project uses the NOAA Storm Database which is assembled from data provided by the National Weather Service (NWS) covering a timeframe between 1950-2011. The dataset was analyzed as a whole without partitioning for time. In analyses of economic damages, flooding caused the largest economic impacts by far. In analyses of public health costs, tornadoes were determined to cause the highest numbers of human casualties. Enhanced efforts to control/prevent flooding and better predict the occurrence and trajectories of tornadoes may be warranted based on the results of these preliminary analyses.