Exercise

# Correlations plot

It is often interesting to look at the correlations between variables in the data. The function `cor()`

can be used to create the correlation matrix. A more visual way to look at the correlations is to use `corrplot()`

function (from the corrplot package).

Use the corrplot to visualize the correlation between variables of the Boston dataset.

Instructions

**100 XP**

- Calculate the correlation matrix and save it as
`cor_matrix`

. Print the matrix to see how it looks like. - Adjust the code: use the pipe (
`%>%`

) to round the matrix. Rounding can be done with the`round()`

function. Use the first two digits. Print the matrix again. - Plot the rounded correlation matrix
- Adjust the code: add argument
`type = "upper"`

to the plot. Print the plot again. - Adjust the code little more: add arguments
`cl.pos = "b"`

,`tl.pos = "d"`

and`tl.cex = 0.6`

to the plot. Print the plot again. - See more of corrplot here