Disclaimer: I've inherited a database which is probably not quite as "normal" as I would like, and I'm limited to Jet/MS Access 2010 for my db backend and interface, as well my choice of reporting software (currently Style Intelligence, which has its own data interpretation interface (supports standard SQL, etc.). I'm open to some data restructuring if necessary.
I have several tables of assessment data from which I need to count rows that "pass" or "fail" the assessments (one row = one assessment). Each row has a series of columns which contain the answers YES, NO, NA or null, and these answers comprise the assessment. A NO value in any of the answer columns constitutes a fail. I need a count of rows that contain NO in any of these columns, and then a count of the remainder (or, no "No" values in any of the answer columns. I don't need to count the number of NOs on one row, just group and count by the existence of at least 1 NO answer in any of the given columns. There are other tables which store assessment data in a similar structure, but instead use 1, 2 and 3 as the "yes, no, NA" answers, because they're storing the value from an MS Access form's option group.
Here are some examples of rows that I have, and how they would be grouped for counting:
AsmtID Q1 Q2 Q3 Q4 Q5 Q6 Q7 Desired grouping 3 NO YES YES YES NA FAIL 4 NO YES YES YES YES NO NA FAIL 5 YES YES YES YES YES YES YES PASS 6 YES YES YES YES YES YES NA PASS
It's worth noting that I'm working with a very small amount of data, certainly no more than 200 rows from any one table at a time, so computational efficiency isn't a big concern for me. My best guess would be some routine which steps through each column on a row and then returns Pass or Fail based on the first NO value found. I would really appreciate any insight on how to interpret this data. Thank you in advance!