Obtain a table that shows the average of salary01 for each gender in each department.

here is the data

input Employee_id Name$ gender$ years dept$ salary01 salary02 salary03; cards; 1 Mitchell,Jane f 6 shoe 22450 23000 26600 2 Miller,Frances f 8 appliance . 32500 33000 3 Evans,Richard m 9 appliance 42900 43900 . 4 Fair,Suzanne f 3 clothing 29700 32900 34500 5 Meyers,Thomas m 5 appliance 33700 34400 37000 6 Rogers,Steven m 3 shoe 27000 27800 . 7 Anderson,Frank m 5 clothing 33000 35100 36000 10 Baxter,David m 2 shoe 23900 . 31300 11 Wood,Brenda f 3 clothing 33000 34000 35700 12 Wheeler,Vickie f 7 appliance 31500 33200 35600 13 Hancock,Sharon f 1 clothing 21000 . 22500 14 Looney,Roger m 10 appliance 42900 36200 37800 15 Fry,Marie f 6 clothing 29700 30500 31200 ; run;