For all the following problems, you will use the flights, airlines, airports and planes data from nycflights$13$ package. Load the package and read in the flights data as flights, airlines data as airlines, airports data as airports and planes data as planes. Check the structures of each data frame, especially the columns that will be used to join two tables.

Add location of the origin and destination from the airports to flights data. You need two consecutive left$\_$join$()$ to do so$.$ Follow the following steps:

a$.$ left join airports by matching origin with faa

b$.$ left join airports again by matching dest with faa.

c$.$ check the join table and notice that the lat.x and lon.x is the location of the origin and lat.y and lon.y is the location of the destination

d$.$ for the joined table, keep the following columns and rename them as directed:

dest, origin, lat.x $($rename it as origin$\_$lat$),$ lon.x $($rename it as origin$\_$lon$),$ lat.y $($rename it as dest$\_$lat$),$ lon.y $($rename it as dest$\_$lon$),$ and arr$\_$delay.

e$.$ arrange the data by ascending order of arr$\_$delay.

What is the latitude of the destination that has the lowest arr$\_$delay.

$($PLEASE PROVIDE ACTUAL NUMBER IN ANSWER$)$