SQL Multiple count columns with multiple conditionS - sql

Question

I am trying to gather some basic statistics from a table "Data_Table" that gets updated on a daily basis. Each row represents a case, which can be opened/closed/cancelled by an operator with a unique ID. I want to be able to show the count for the actions that each operator did the previous day. So getting from Data_Table to Ideal table.
Data_Table
| LOCATION | DATE | REFERENCE | OPENED_ID | CLOSED_ID | CANCELLED_ID |
| NYC | 20180102 | 123451 | 123 | 234 | 0 |
| TEX | 20180102 | 123452 | 345 | 123 | 0 |
| NYC | 20180102 | 123453 | 345 | 0 | 123 |
| TEX | 20180102 | 123453 | 234 | 0 | 123 |
Ideal Table
| LOCATION | DATE | USER_ID | OPEN | CLOSED | CANCELLED |
| NYC | 20180102 | 123 | 1 | 0 | 1 |
| NYC | 20180102 | 234 | 0 | 1 | 0 |
| NYC | 20180102 | 345 | 1 | 0 | 0 |
| TEX | 20180102 | 123 | 0 | 1 | 1 |
| TEX | 20180102 | 234 | 1 | 0 | 0 |
| TEX | 20180102 | 345 | 1 | 0 | 0 |
User 123 opened 1 case and cancelled 1 case in location NYC on date 20180102...etc.
I have made a few small queries for each action in each site that looks like this:
SELECT LOCATION, DATE, OPENED_ID, COUNT(DISTINCT [DATA_TABLE].REFERENCE)
FROM [DATA_TABLE]
WHERE DATE = CONVERT(DATE,GETDATE()-1)
AND LOCATION = 'NYC'
AND OPENED_ID in (SELECT NYC FROM [OP_ID_TABLE]WHERE [DATE FINISH] > GETDATE() )
GROUP BY OPENED_ID, LOCATION, DATE
ORDER BY LOCATION
And then repeat this query for each location for each operator action. After which I do some messy vlookups in excel to organise it into the Ideal table format, which on a daily basis is ..not ideal.
I've tried to make some sum functions but haven't had any luck.
Any help would be much appreciated.

Answer 1

You need to unpivot and re-aggregate. One method uses union all and group by:
select location, date, user_id,
sum(opened) as opens, sum(closed) as closes, sum(cancelled) as cancels
from ((select location, date, opened_id as user_id, 1 as opened, 0 as closed, 0 as cancelled
from t
) union all
(select location, date, closed_id as user_id, 0 as opened, 1 as closed, 0 as cancelled
from t
) union all
(select location, date, cancelled_id as user_id, 0 as opened, 0 as closed, 1 as cancelled
from t
)
) t
group by location, date, user_id;
There are other methods for doing these operations, depending on the database. However, this is ANSI-standard syntax.