# Data Driven Management

Subject Mathematics Statistics-R Programming

## Question

Check the file: Questions.pdf

## Solution Preview

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library(Lahman)
Salaries\$salary <- as.numeric(Salaries\$salary)
Salaries.AL <- Salaries[Salaries\$lgID=="AL" & Salaries\$yearID==2002,]
Salaries.NL <- Salaries[Salaries\$lgID=="NL" & Salaries\$yearID==2002,]
budgets.AL <- tapply(Salaries.AL\$salary, Salaries.AL\$teamID, sum, na.rm=T)
budgets.NL <- tapply(Salaries.NL\$salary, Salaries.NL\$teamID, sum, na.rm=T)
AL <- data.frame( budget=budgets.AL, team=names(budgets.AL) )
NL <- data.frame( budget=budgets.NL, team=names(budgets.NL))

budgets.AL <- budgets.AL[!is.na(budgets.AL)]
budgets.NL <- budgets.NL[!is.na(budgets.NL)]

budgets.AL <- c(budgets.AL, "League Average"=mean(budgets.AL))
budgets.NL <- c(budgets.NL, "League Average"=mean(budgets.NL))

budgets.AL <- sort(budgets.AL)
budgets.NL <- sort(budgets.NL)

# AL
par(mar=c(8,8,8,10))
r <- barplot(budgets.AL, horiz=T,width=c(rep(0.1,8),0.15,rep(0.1,6)),space=c(rep(40,8),60,60,rep(40,5)),col="skyblue",border="skyblue",las=1,axes=F,main="2002 Budgets of Teams in the American League",xlim=c(0,1.1*max(budgets.AL)))...

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