R Dataset / Package DAAG / austpop

On this R-data statistics page, you will find information about the austpop data set which pertains to Population figures for Australian States and Territories. The austpop data set is found in the DAAG R package. You can load the austpop data set in R by issuing the following command at the console data("austpop"). This will load the data into a variable called austpop. If R says the austpop data set is not found, you can try installing the package by issuing this command install.packages("DAAG") and then attempt to reload the data with the library() command. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the austpop R data set. The size of this file is about 456 bytes.

Population figures for Australian States and Territories

Description

Population figures for Australian states and territories for 1917, 1927, ..., 1997.

Usage

austpop

Format

This data frame contains the following columns:

year: a numeric vector
NSW: New South Wales population counts
Vic: Victoria population counts
Qld: Queensland population counts
SA: South Australia population counts
WA: Western Australia population counts
Tas: Tasmania population counts
NT: Northern Territory population counts
ACT: Australian Capital Territory population counts
Aust: Population counts for the whole country

Source

Australian Bureau of Statistics

Examples

print("Looping - Example 1.7")growth.rates <- numeric(8)
for (j in seq(2,9)) {
growth.rates[j-1] <- (austpop[9, j]-austpop[1, j])/austpop[1, j] }
growth.rates <- data.frame(growth.rates)
row.names(growth.rates) <- names(austpop[c(-1,-10)])
# Note the use of row.names() to name the rows of the data frame
growth.ratespause()
print("Avoiding Loops - Example 1.7b")sapply(austpop[,-c(1,10)], function(x){(x[9]-x[1])/x[1]})pause()
print("Plot - Example 1.8a")
attach(austpop)
plot(year, ACT, type="l") # Join the points ("l" = "line")
detach(austpop)pause()
print("Exerice 1.12.9")
attach(austpop)
oldpar <- par(mfrow=c(2,4))
for (i in 2:9){
plot(austpop[,1], log(austpop[, i]), xlab="Year",
ylab=names(austpop)[i], pch=16, ylim=c(0,10))}
par(oldpar) 
detach(austpop)

Dataset imported from https://www.r-project.org.

Attachments: csv, json

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