Question $2$:

Load the R built$-$in dataset "airquality $"$

Assign the rownames as AQrecord$1,$ AQrecord$2$ and so on for all the rows of airquality

What is the mean of "Ozone" and "Solar.R$"$ columns?

Check if NA values are existing. Use the complete.cases function to identify the NA

values and separate the airquality into two different dataframes one with record

containing NA values $($

airquality.NA$)$ and the second without NA $($airquality$.$WNA$)$ values.

How many records are in

airquality.NA and without airquality. WNA?

Export the airquality. WNA as a "airquality. WNA.csv$"$ file.