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<title>The fatal impact of tornadoes and economic effects of floods</title>
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<h1>The fatal impact of tornadoes and economic effects of floods</h1>
<h2>Synopsis</h2>
<p>This report downloads data from NOAA Storm Database and performs a statistical analysis on the impact of physical events to population health and economy.</p>
<p>Examining the event types, we observe that most of the physical phenomena cause injuries to people, which sometimes are fatal. By far, Tornadoes are the most dangerous events, caused ~100.000 injuries on the last 60 years.</p>
<p>When analysing the event types by the impact on the economy, we observe that floods caused $15 billions damages on the last 60 years, mostly on properties.</p>
<h2>Data Processing</h2>
<h3>Load</h3>
<p>How the data were loaded into R.</p>
<p>Data are downloaded and imported in stormdata data frame.</p>
<pre><code class="r">fileUrl <- "https://d396qusza40orc.cloudfront.net/repdata%2Fdata%2FStormData.csv.bz2"
download.file(fileUrl, destfile = "tempdata.csv.bz2", method = "curl")
stormdata <- read.csv("./tempdata.csv.bz2")
</code></pre>
<h3>Process</h3>
<p>How the data are processed for analysis.</p>
<p>To calculate the injuries to humans, <code>damages</code> dataframe is being used, to aggregate both fatal and non-fatal injuries.</p>
<p>The economic impact is assessed by calculating the exponential value of the property and corp damage in data frame <code>economic</code>.</p>
<p>Two small data frames <code>dam</code> and <code>eco</code> are used to calculate only the top 10 events in human and economic impact respectively.</p>
<pre><code class="r">library(Hmisc)
</code></pre>
<pre><code>## Loading required package: grid
## Loading required package: lattice
## Loading required package: survival
## Loading required package: splines
## Loading required package: Formula
##
## Attaching package: 'Hmisc'
##
## The following objects are masked from 'package:base':
##
## format.pval, round.POSIXt, trunc.POSIXt, units
</code></pre>
<pre><code class="r">library(reshape)
library(ggplot2)
library(car)
stormdata$EVTYPE <- capitalize(tolower(stormdata$EVTYPE))
damages <- aggregate(cbind(FATALITIES, INJURIES) ~ EVTYPE, stormdata, sum)
dam <- melt(head(damages[order(-damages$FATALITIES, -damages$INJURIES), ], 10))
</code></pre>
<pre><code>## Using EVTYPE as id variables
</code></pre>
<pre><code class="r">
stormdata$PROPDMG <- stormdata$PROPDMG * as.numeric(Recode(stormdata$PROPDMGEXP,
"'0'=1;'1'=10;'2'=100;'3'=1000;'4'=10000;'5'=100000;'6'=1000000;'7'=10000000;'8'=100000000;'B'=1000000000;'h'=100;'H'=100;'K'=1000;'m'=1000000;'M'=1000000;'-'=0;'?'=0;'+'=0",
as.factor.result = FALSE))
stormdata$CROPDMG <- stormdata$CROPDMG * as.numeric(Recode(stormdata$CROPDMGEXP,
"'0'=1;'2'=100;'B'=1000000000;'k'=1000;'K'=1000;'m'=1000000;'M'=1000000;''=0;'?'=0",
as.factor.result = FALSE))
economic <- aggregate(cbind(PROPDMG, CROPDMG) ~ EVTYPE, stormdata, sum)
eco <- melt(head(economic[order(-economic$PROPDMG, -economic$CROPDMG), ], 10))
</code></pre>
<pre><code>## Using EVTYPE as id variables
</code></pre>
<h2>Results</h2>
<h3>Human casualties</h3>
<ul>
<li>Question: Across the United States, which types of events (as indicated in the EVTYPE variable) are most harmful with respect to population health?</li>
</ul>
<p>By using the ggplot2 library we present a combined flipped barplot graph of the fatal (Deaths) and non-fatal Injuries, by event type.</p>
<pre><code class="r">ggplot(dam, aes(x = EVTYPE, y = value, fill = variable)) + geom_bar(stat = "identity") +
coord_flip() + ggtitle("Harmful events") + labs(x = "", y = "number of people impacted") +
scale_fill_manual(values = c("orange", "black"), labels = c("Deaths", "Injuries"))
</code></pre>
<p><img src="data:image/png;base64,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" alt="plot of chunk unnamed-chunk-3"/> </p>
<h3>Economic impact</h3>
<ul>
<li>Question: Across the United States, which types of events have the greatest economic consequences?</li>
</ul>
<p>By using the ggplot2 library we present a combined flipped barplot graph of the property and corp damages, by event type.</p>
<pre><code class="r">ggplot(eco, aes(x = EVTYPE, y = value, fill = variable)) + geom_bar(stat = "identity") +
coord_flip() + ggtitle("Economic consequences") + labs(x = "", y = "cost of damages in dollars") +
scale_fill_manual(values = c("orange", "black"), labels = c("Property Damage",
"Crop Damage"))
</code></pre>
<p><img 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" alt="plot of chunk unnamed-chunk-4"/> </p>
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