Flu Trends

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Not a model, but certainly Mickey Mousey: here’s some R code that plots Google’s US flu data:

df <- read.csv(url("http://www.google.org/flutrends/us/data.txt"), skip=11) df$Date <- as.Date(df$Date) dev.new(height=8, width=12) # Leave a thin outer margin par(oma=c(0.5, 0.5, 0.5, 0.5)) # Plot data; suppress x-axis plot(df$Date, df$United.States, main="US Flu Trends", ylab="Measure of US flu-related queries", xlab="", xaxt="n", xlim=(range(df$Date) + c(-60, +60)), col="tomato", type="l", lwd=2) # Add x-axis with yearly tick marks years.to.tick <- as.Date(sprintf("%s-01-01", (format(min(df$Date), "%Y"):format(max(df$Date), "%Y"))[-1])) axis(1, at=years.to.tick, labels=rep("", length(years.to.tick))) # Add x-axis with no ticks, but centered text labels every other year years.to.label <- years.to.tick[1:(length(years.to.tick) - 1)][c(TRUE, FALSE)] axis(1, at=(years.to.label + 365/2), labels=format(years.to.label, "%Y"), tck=0) mtext("Data Source: Google Flu Trends (http://www.google.org/flutrends)") mtext(sprintf("Plotted on %s", Sys.Date()), side=1, line=3, cex=0.75) savePlot("US_flu_trends.png")


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