Description

Storms and other severe weather events can cause both public health and economic problems for communities and municipalities. Many severe events can result in fatalities, injuries, and property damage, and preventing such outcomes to the extent possible is a key concern.
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 damage.
Data
The data for this assignment come in the form of a comma-separated-value file compressed via the bzip2 algorithm to reduce its size. You can download the file from the course web site:
• Storm Data [47Mb]
There is also some documentation of the database available. Here you will find how some of the variables are constructed/defined.
• National Weather Service Storm Data Documentation
• National Climatic Data Center Storm Events FAQ
Assignment
Questions
Your data analysis must address the following questions:
1. Across the United States, which types of events (as indicated in the EVTYPE variable) are most harmful with respect to population health?
2. Across the United States, which types of events have the greatest economic consequences?
Consider writing your report as if it were to be read by a government or municipal manager who might be responsible for preparing for severe weather events and will need to prioritize resources for different types of events. However, there is no need to make any specific recommendations in your report.
Requirements
For this assignment you will need some specific tools • RStudio: You will need RStudio to publish your completed analysis document to RPubs. You can also use RStudio to edit/write your analysis.
• knitr: You will need the knitr package in order to compile your R Markdown document and convert it to HTML
Document Layout
• Language: Your document should be written in English.
• Title: Your document should have a title that briefly summarizes your data analysis
• Synopsis: Immediately after the title, there should be a synopsis which describes and summarizes your analysis in at most 10 complete sentences.
• There should be a section titled Results in which your results are presented.
• The analysis document must have at least one figure containing a plot.
Publishing Your Analysis
For this assignment you will need to publish your analysis on RPubs.com. If you do not already have an account, then you will have to create a new account. After you have completed writing your analysis in RStudio, you can publish it to RPubs by doing the following:
1. In RStudio, make sure your R Markdown document (.Rmd) document is loaded in the editor
2. Click the Knit HTML button in the doc toolbar to preview your document.
3. In the preview window, click the Publish button.
Once your document is published to RPubs, you should get a unique URL to that document. Make a note of this URL as you will need it to submit your assignment.
Submitting Your Assignment
In order to submit this assignment, you must copy the RPubs URL for your completed data analysis document in to the peer assessment question.
Please submit the URL from RPubs that points to your full report for this assignment.

NOTE: The URL for the RPubs document should begin with http:// (not https://)

BI Link<code>Math
PreviewEdit: Rich