$**$THE PROGRAMMING LANGUAGE IS IN R$,$RSTUDIOS, and JUPYTER. Please don't use pandas or Python

$5\mathrm{.}8$ LAB: Structuring data using mutate$()$

The hmeq$\_$small dataset contains information on $5960$ home equity loans, including $7$ features on the characteristics of the loan.

Load the hmeq$\_$small. csv data set as a data frame.

Create a new data frame with the columns LOAN and VALUE standardized and saved as LOAN$\_$STAND and VALUE$\_$STAND.

Create a second data frame with the columns LOAN and VALUE normalized and saved as LOAN$\_$NORM and VALUE$\_$NORM.

Print the summaries of the new data frames.

suppressPackagestartupMessages$($library$($tidyverse$))$

hmeq # Your code here

hmeq drop$\_$na$($hmeq$)$hmeqstand # Your code here

hmeqNorm # Your code here

print$("$Summary of standardized data:"$)$

#Your code here

print$("$Summary of normalized data:"$)$

#Your code here