R Markdown

Storm Data Analysis

Synopsis

This report analyzes the NOAA storm database to determine which weather events are most harmful to population health and which events cause the greatest economic damage in the United States.

Data Processing

The storm dataset is loaded from the compressed CSV file and processed using R. The data is aggregated by event type to calculate total injuries, fatalities, and economic damage.

Results

The analysis shows the event types with the greatest impact on health and economy. The results are visualized using bar plots.

data <- read.csv("repdata-data-StormData.csv.bz2")

This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.

When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:

summary(cars)
##      speed           dist       
##  Min.   : 4.0   Min.   :  2.00  
##  1st Qu.:12.0   1st Qu.: 26.00  
##  Median :15.0   Median : 36.00  
##  Mean   :15.4   Mean   : 42.98  
##  3rd Qu.:19.0   3rd Qu.: 56.00  
##  Max.   :25.0   Max.   :120.00

Including Plots

You can also embed plots, for example:

Note that the echo = FALSE parameter was added to the code chunk to prevent printing of the R code that generated the plot.