The record Mieten.csv contains the following variables:

Variable Description

miete Net rent in Euro in Munich

lage Location of the apartment:

$1=$ not near university

$2=$ near university

a$)$ Import the dataset Mieten.csv into R and save the data in a separate data object.

data object.

b$)$ Create a histogram for the variable miete by first entering the following command:

hist $($ rent $,$ freq $=$ F $)$

Further add a correct axis label to your graph.

c$)$ Create a new variable logRent that contains the logarithmized values of the variable miete.

d$)$ Use a QQ plot $($qqnorm$()$ command$)$ to check if the variable logRent follows a normal distribution.For a better interpretation of the graph, add a compensation line using the qqline$()$ function.

The rest of the task is based on the data set klausurumfrage.csv $($cf$.$ Task $1).$

e$)$ Import the data set klausurumfrage.csv into R and save the data in a new,

separate data object.

f$)$ Create the empirical distribution function of the variable using the R code below.

note:

plot $($ ecdf $($ note $))$

Change the label of the x$-$axis and the heading of the graph.

Note: So far, all of the graphs you have created in this task are only in R$-$Studio

$"\text{'}$stored$"\text{'}.$ In order to be able to use the created graphics also in other documents, there is the possibility in the R$-$Studio to export the generated graphics e$.$g$.$ in PDF format.