Run the following code in $R$ to generate the wide dataframe shown below:

df

data. frame$($

state $=$ c$("$Montana$",$ "Wyoming", "South Carolina", "South Dakota", "New

Mexico"$),$

y$2017=c(6\mathrm{.}78,7\mathrm{.}44,6\mathrm{.}47,4\mathrm{.}87,5\mathrm{.}49),$

y$2018=c(8\mathrm{.}28,6\mathrm{.}06,5\mathrm{.}74,5\mathrm{.}44,5\mathrm{.}25)$

state $y2017y2018$

$1$ Montana $6\mathrm{.}78,8\mathrm{.}28$

$2$ Wyoming $7\mathrm{.}44,6\mathrm{.}06$

$3$ South Carolina $6\mathrm{.}47,5\mathrm{.}74$

$4$ South Dakota $4\mathrm{.}87,5\mathrm{.}44$

$5$ New Mexico $5\mathrm{.}49,5\mathrm{.}25$

This dataframe shows the rates of DUI fatalities per $100,000$ people in five

states for the years $2017$ and $2018.$

Use

to convert these data into a long format dataframe. Which

state is in the $6$th row?

South Dakota

Wyoming

New Mexico

South Carolina

Montana