given these missing values, how would you deal with them in data cleaning?

[10] : # Check for missing values df . isnull( ) . sum( ) [10]: college name state public (1) / private (2) # appli_ rec'd 10 # apply accepted 11 # new stud_enrolled 5 new stud_from top 10% 235 % new stud_ from top 25% 202 # ft undergrad 3 # pt undergrad 32 in-state tuition 30 out-of-state tuition 20 room 321 board 498 add_fees 274 estim_ book costs 48 estim_personal $ 181 fac_ w/phd 32 stud_/fac_ ratio 2 graduation rate 98 dtype: int64