My first attempt was to plot data from Forbes 1000 list (refer to the exercise posted by Prasoon sharma)
Here is a bubble chart showing Forbes top 25 companies by Market Capitalization
Source code:
## read the csv file
FORBES.DF <- read.csv("forbes2000list_for_2011.csv")
## assign titles
names(FORBES.DF)<- c("Rank", "Company", "Country", "Industry", "Sales", "Profits", "Assets", "MarketCap")
## create a smaller vector
Forbes100ByMC <- FORBES.DF[order(-FORBES.DF$MarketCap),][1:100,]
Forbes25 <- Forbes100ByMC[1:25, ]
## plot the bubble chart using 'symbols'
radius <- sqrt(Forbes25$MarketCap/pi)
sales <- as.numeric(as.character(Forbes25$Sales))
profits <- as.numeric(as.character(Forbes25$Profits))
symbols(sales, profits, circles=radius, inches=0.9, fg="white", bg="light blue", xlab="Sales($'Billions)", ylab="Profits($'Billions)", main="Forbes 25 By Market Capitalization", xlim=c(min(range(sales))-50, max(range(sales))+50), ylim=c(min(range(profits))-2, max(range(profits))+2))
## print the names of companies
text(sales, profits, Forbes25$Company, cex=0.6, col="dark red")
Any feedback toward writting better 'R' code is welcome.
