This is a signal analysis of a recording took in a Nissan Rogue 2011 while the car was running at 65 mph and it had one of the back windows Open The sound was annoying and most likely saturated the iPhone 6+'s microphone goo.gl/XFSKc2

In this article, the current 2016 is analyzed and visualized using R. First, the data is loaded, pre-processed and analyzed using the tm (text mining) package. Then it is visualized using the tm, cluster, and igraph packages.

Use of the rclinicaltirals package to download and process results from the NIH clinical trials database. Two map visualizations are produced using the geographic location of the centers recruiting and providing the trials.

After some searching, it is possible to use the rnoaa package to download hourly weather station data (temperature, wind speed, direction, pressure, etc.). The visualizations compare a Coastal City (Saint Petersburg, Florida to an inland City, Columbia, South Carolina). Some of the code is a modification of an example found in the rnoaa documentation. The story behind the article and some relevant information can be found in this Linkedin Article: https://www.linkedin.com/pulse/climate-analysis-r-comparing-hourly-temperatures-between-jose-i-rey

The purpose of this report is to determine the most destructive types of events from the NOAA storms database. It includes the following: Data Processing section where the data is loaded, cleaned, and prepared. Results section, in which both Population Health Harm, and Economic Damage are computed and ranked. Conclusions, answering the questions that this analysis tries to answer.