Forum Discussion
Dax for matrix table
I have this table image below
Lookin to create a matrix table below
Total Checking Parent Count = Distinct count of unique checking_parent/JIRA_ID where the checking parent matches the "Checking Parent" column on this table
Total SQL Feedback = ( (Distinct count of unique checking_parent/JIRA_ID/feedback category = "SQL" /Item_ref where the checking parent matches the "Checking Parent" column on this table)
Total SQL No Feedback = ( (Distinct count of unique checking_parent/JIRA_ID where the checking parent matches the "Checking Parent" column on this table) * (SQL Weighting for the "Checking Parent" colmun in the "Task Weighting" tab) ) - Minus cases from the "Total Feedback" column
If I could be helped with DAX for this calculation it will help.
Kay_Kalu , Use
dax
TotalCheckingParentCount =
CALCULATE(
DISTINCTCOUNT('YourTable'[JIRA_ID]),
'YourTable'[checking_parent] = 'YourTable'[Checking Parent]
)dax
TotalSQLFeedback =
CALCULATE(
DISTINCTCOUNT('YourTable'[Item_ref]),
'YourTable'[checking_parent] = 'YourTable'[Checking Parent],
'YourTable'[feedback_category] = "SQL"
)dax
TotalSQLNoFeedback =
VAR TotalCheckingParent =
CALCULATE(
DISTINCTCOUNT('YourTable'[JIRA_ID]),
'YourTable'[checking_parent] = 'YourTable'[Checking Parent]
)
VAR SQLWeighting =
LOOKUPVALUE(
'TaskWeighting'[SQLWeighting],
'TaskWeighting'[Checking Parent], 'YourTable'[Checking Parent]
)
VAR TotalFeedback =
[TotalSQLFeedback]
RETURN
(TotalCheckingParent * SQLWeighting) - TotalFeedbackdax
SQLFailRate =
DIVIDE(
[TotalSQLFeedback],
[TotalSQLNoFeedback],
0
)Hello Kay_Kalu ,
Thank you for the sample data.
Please find the DAX below:
Total SQL Feedback = VAR FilteredTable = FILTER ( FeedbackData, FeedbackData[feedback category] = "SQL" ) VAR DistinctPerJira = SUMMARIZE ( FilteredTable, FeedbackData[jira_id], "DistinctItems", DISTINCTCOUNT ( FeedbackData[item_ref] ) ) RETURN SUMX ( DistinctPerJira, [DistinctItems] )Now I loaded the sample data as a table called 'FeedbackData' so please update it with your table name and make adjustments as required.
I have structured the query in sequential blocks so it is easy to understand. First we filter the table for only feedback category = "SQL" (since we are interested in SQL Feedback). Next, we calculate the distinct count of item_ref for each jira_id and finally sum that up. One assumption I took here is that you don't need this checking_parent = Population Review Check as a hard coded filter rather this will be provided at say row level in visual and needs to be dynamic (if it needs to be static, you can simply add it after the feedback category= 'SQL' condition as
&& FeedbackData[checking_parent] = "Population Review Check")Hope it helps!
8 Replies
- Kay_Kalu
Helper I
Thanks This works 👍
- alish_b
Super User
- Kay_Kalu
Helper I
jira_id item_ref comment_date checking_parent feedback category PPDQ-9506 PR1 18/07/2025 16:52 Population Review Check SQL PPDQ-9387 PR1 01/07/2025 16:17 Population Review Check SQL PPDQ-9387 PR2 01/07/2025 16:17 Population Review Check SQL PPDQ-9350 PR1 16/06/2025 17:24 Population Review Check SQL PPDQ-9225 PR1 20/05/2025 17:21 Population Review Check SQL PPDQ-9225 PR1 01/07/2025 13:54 Population Review Check SQL From the table above I have filtered the feedback category = "SQL" and checking_parent = Population Review Check then the count to get Total SQL Feedback will be distinct count of Item_ref in relation to the jira_id. e.g PPDQ-9387 will count as 2 but PPDQ-9225 will count as 1
- alish_b
Super User
Hello Kay_Kalu ,
Thank you for the sample data.
Please find the DAX below:
Total SQL Feedback = VAR FilteredTable = FILTER ( FeedbackData, FeedbackData[feedback category] = "SQL" ) VAR DistinctPerJira = SUMMARIZE ( FilteredTable, FeedbackData[jira_id], "DistinctItems", DISTINCTCOUNT ( FeedbackData[item_ref] ) ) RETURN SUMX ( DistinctPerJira, [DistinctItems] )Now I loaded the sample data as a table called 'FeedbackData' so please update it with your table name and make adjustments as required.
I have structured the query in sequential blocks so it is easy to understand. First we filter the table for only feedback category = "SQL" (since we are interested in SQL Feedback). Next, we calculate the distinct count of item_ref for each jira_id and finally sum that up. One assumption I took here is that you don't need this checking_parent = Population Review Check as a hard coded filter rather this will be provided at say row level in visual and needs to be dynamic (if it needs to be static, you can simply add it after the feedback category= 'SQL' condition as
&& FeedbackData[checking_parent] = "Population Review Check")Hope it helps!
- bhanu_gautam
Super User
Kay_Kalu , Use
dax
TotalCheckingParentCount =
CALCULATE(
DISTINCTCOUNT('YourTable'[JIRA_ID]),
'YourTable'[checking_parent] = 'YourTable'[Checking Parent]
)dax
TotalSQLFeedback =
CALCULATE(
DISTINCTCOUNT('YourTable'[Item_ref]),
'YourTable'[checking_parent] = 'YourTable'[Checking Parent],
'YourTable'[feedback_category] = "SQL"
)dax
TotalSQLNoFeedback =
VAR TotalCheckingParent =
CALCULATE(
DISTINCTCOUNT('YourTable'[JIRA_ID]),
'YourTable'[checking_parent] = 'YourTable'[Checking Parent]
)
VAR SQLWeighting =
LOOKUPVALUE(
'TaskWeighting'[SQLWeighting],
'TaskWeighting'[Checking Parent], 'YourTable'[Checking Parent]
)
VAR TotalFeedback =
[TotalSQLFeedback]
RETURN
(TotalCheckingParent * SQLWeighting) - TotalFeedbackdax
SQLFailRate =
DIVIDE(
[TotalSQLFeedback],
[TotalSQLNoFeedback],
0
)- Kay_Kalu
Helper I
Thanks TotalCheckingParentCount worked fine but I guess for the TotalSQLFeedback i haven't explained it well so below is a sample explained. thanks
jira_id item_ref comment_date checking_parent feedback category PPDQ-9506 PR1 18/07/2025 16:52 Population Review Check SQL PPDQ-9387 PR1 01/07/2025 16:17 Population Review Check SQL PPDQ-9387 PR2 01/07/2025 16:17 Population Review Check SQL PPDQ-9350 PR1 16/06/2025 17:24 Population Review Check SQL PPDQ-9225 PR1 20/05/2025 17:21 Population Review Check SQL PPDQ-9225 PR1 01/07/2025 13:54 Population Review Check SQL From the table above I have filtered the feedback category = "SQL" and checking_parent = Population Review Check then the count to get Total SQL Feedback will be distinct count of Item_ref in relation to the jira_id. e.g PPDQ-9387 will count as 2 but PPDQ-9225 will count as 1
- Kay_Kalu
Helper I
please could you help with this part
Total SQL No Feedback = ( (Distinct count of unique checking_parent/JIRA_ID where the checking parent matches the "Checking Parent" column on this table) * (SQL Weighting for the "Checking Parent" colmun in the "Task Weighting" tab) ) - Minus cases from the "Total Feedback" column
If I could be helped with DAX for this calculation it will help.
Checking Parent SQL Weighting Business Weighting Process Weighting Population Review Check 3 2 7 Data Fix Driver File Checking 1 2 3 P&C Request Checking 0 1 4 CS/Suspense Handover Checking 1 0 5 Bespoke Datafix Spec Checking 0 0 4 Sweep Docs Checking 2 3 3 Review Signoff 2 0 6 Calc Flag Review Signoff 2 0 5 Totals 11 8 37 Attached is the Task Weighting table. so it uses the weight "SQL Weighting" when the iteam_ref is SQL and so on. the checking_parent will be row filtered