Suppose i have the following data in which the variables have some missing values. I want to show the "counts" of every variable when they are 1 and 2, without counting the missing values. If i use designplot i got the same counts for every variable when that's not what indicate in the data. I change the missing values for 0 and got the result that i want, but i don't want to show the missing values in the graph. Anyone can help me to not show the missing values/zero's in the graph?

Code:
Code:
input float (var1 var2 var3)
1 1 .
2 2 2
2 . .
1 . .
1 1 .
2 2 2
2 2 2
1 1 .
2 . 2
. . .
2 2 .
. . .
. 1 .
2 2 2
2 2 2
1 . 1
2 2 2
1 1 1
1 . .
2 2 .
2 2 2
1 1 .
2 2 2
1 1 .
2 2 2
1 1 1
. 2 2
. . .
. . .
. 2 .
1 1 1
2 2 .
1 1 .
2 2 2
. 2 .
. 1 .
2 2 .
. . 1
end

label define mylabel 1 "T=0" 2 "T=5"
label val var* mylabel
    
gen data = 1
label var data "Variables"
designplot data var1 var2 var3, stat(count) min(1) max(1) variablelabels recast(hbar)
Array

And when i change the missing values to 0, i got the next result:

Array

Thanks everyone!