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https://github.com/marchdf/repdata_peerassessment2


https://github.com/marchdf/repdata_peerassessment2

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# RepData_PeerAssessment2



## Introduction



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]](https://d396qusza40orc.cloudfront.net/repdata%2Fdata%2FStormData.csv.bz2)

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](https://d396qusza40orc.cloudfront.net/repdata%2Fpeer2_doc%2Fpd01016005curr.pdf)

- National Climatic Data Center Storm Events [FAQ](https://d396qusza40orc.cloudfront.net/repdata%2Fpeer2_doc%2FNCDC%20Storm%20Events-FAQ%20Page.pdf)



The events in the database start in the year 1950 and end in

November 2011. In the earlier years of the database there are

generally fewer events recorded, most likely due to a lack of good

records. More recent years should be considered more complete.



## Assignment



The basic goal of this assignment is to explore the NOAA Storm

Database and answer some basic questions about severe weather

events. You must use the database to answer the questions below and

show the code for your entire analysis. Your analysis can consist of

tables, figures, or other summaries. You may use any R package you

want to support your analysis.



## 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 Data Processing which describes (in

  words and code) how the data were loaded into R and processed for

  analysis. In particular, your analysis must start from the raw CSV

  file containing the data. You cannot do any preprocessing outside

  the document. If preprocessing is time-consuming you may consider

  using the cache = TRUE option for certain code chunks.

- There should be a section titled Results in which your results are

  presented.

- You may have other sections in your analysis, but Data Processing

  and Results are required.

- The analysis document must have at least one figure containing a

  plot.

- Your analysis must have no more than three figures. Figures may have

  multiple plots in them (i.e. panel plots), but there cannot be more

  than three figures total.

- You must show all your code for the work in your analysis

  document. This may make the document a bit verbose, but that is

  okay. In general, you should ensure that echo = TRUE for every code

  chunk (this is the default setting in knitr).



## 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.



NOTE: If you are having trouble connecting with RPubs due to

proxy-related or other issues, you can upload your final analysis

document file as a PDF to Coursera instead.



## 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.