Hello
I need to use the below data to count the number of non-missing IDs. The goal is to reach the percentage completion for each region:
Location | Store | Case_ID |
East | A | Case1 |
East | A | Case1 |
West | B | . |
South | X | Case2 |
South | X | . |
South | Y | Case3 |
South | Y | Case3 |
South | Z | Case4 |
West | A | Case5 |
Requested results:
Location | Number UNIQUE Stores | Non-Missing IDs for these stores | % completion IDs |
East | 1 | 1 | 100% |
West | 2 | 1 | 50% |
South | 3 | 3 | 100% |
Thank you everyone.
You can obtain that with a proc sql:
proc sql;
create table want as
select Location,
count(distinct Store) as unique_stores,
count(distinct Case_ID) as not_missing_id,
count(distinct Case_ID)/count(distinct Store) as cmplt_id format=percent7.
from have
group by Location;
quit;
Hi. Thanks, but this code does not provide the results I am looking for. It provides instead this results as 1, 1, 1
I am looking for
1. the total number of stores in each region
2. For those stores, how many of them have completed (non missing) IDs?
i ran that code and this is the output table
in the Case_id column do you have dots or missing values (i.e. space blank)?
Yes. Many.
could you try this code and share the output:
data have;
set have;
if case_id="." then case_id="";
run;
proc sql;create table want as
select Location,
count(distinct Store) as unique_stores,
count(distinct Case_ID) as not_missing_id,
count(distinct Case_ID)/count(distinct Store) as cmplt_id format=percent7.
from have
group by Location;
quit;
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