Given the dataset below, which wrongly includes data as column headings, put the steps below in the correct order to get all the data together in a complete dataset in the form of $$tidy data$?($Note that I$$ve put labels for what the data represent in the last column so you$$ve some idea of what the numbers mean. These labels are not intended to be part of the data. I$$ve made the font lighter gray to distinguish them from the data.$)$

Dataset with data in the wrong format:

$110$

$92$

$87$

$123$

$42$

Temperature

$[1,]$

$65$

$47$

$72$

$68$

$34$

Dew point

$[2,]$

$1024$

$1020$

$1006$

$1032$

$1002$

Pressure

$[3,]$

$5$

$7$

$13$

$3$

$2$

Wind speed

$[4,]$

$55$

$57$

$89$

$52$

$78$

Humidity

Question $39$ options:

Resave the data as a data frame.

Transpose the data frame.

Reinsert values from column headings as data in the dataset.

Remove erroneous column headings.

Insert the correct column headings.

Make sure data type is $$matrix$.$