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Hi,
I have a new problem.
I am trying to visualize a question where a respondent could have multiple answers for multiple brands.
I have found solutions, but they seem to me very complicated and are actually not really practical.
Additionally I would like to summarize answers as a net count. which is also apparently not easily possible.
1.
Since I have to pivot all answers, and thus multiply the respondents by the number of possible answers, I have a problem with the base for percentage.
I solved this problem by making a base table and additionally a pivotized table with the multiplied respondents. Then I matched them via the model view. This seems to me to be very cumbersome. Is there another possibility?
2.
When I try to create overcodes, I always get the gross count of the data in the matrix ... which is logical. This is a pity, because I would like to use the functionality of drilling.
Now I have summarized the overcodes as an additional "answer" and so I get the correct values. Unfortunately I cannot use a drill anymore.
Is there a possibility to display the overcodes as a net count and still have the possibility to drill?
I want to have the ability to expand or close the Overcodes. But i dont want the sums to be a gross count.. but a net count.
like that:
Thank you 🙂
Solved! Go to Solution.
try this measure
Q N = CALCULATE(DISTINCTCOUNT(data_answers[ID_match]), data_answers[Value] = "quoted")Proud to be a Super User!
try this measure
Q N = CALCULATE(DISTINCTCOUNT(data_answers[ID_match]), data_answers[Value] = "quoted")Proud to be a Super User!
Oh yes thank you.. i think this is solving my overcode problem.
Do you have an idea for my base problem too?
I now have the base and the answers in two different tables. And this is getting quite messy when i have more of those data to visualize. Is there a way to do this more easily?
Thanks
i think you need to improve the data model.
in my opinion, you do not need to have both answer and answer_oc table.
Create a column in OC table
ITEM OC = SWITCH(data_answers_OC[Item],"OC_1-2","1 AND 2","oc_3-4-5","3 AND 4 AND 5",data_answers_OC[Item])Then you only need to create one group of measures.
Proud to be a Super User!
I now found out how to construct my base.
it is with the same trick. I just use distinctcount on my ID. So it only counts the respondend one time.
thanks 🙂
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