Forum Discussion
Multiple responses from forms combining
- 4 years ago
Hi zaraanderson ,
In this case you need to take a different approach, keeping the responses has you have you can create disconnected tables with the answrs from the multioption. In this case I have created 2 tables:
Now using this I have created the following two measures:
Pet Count = // Character that split phrase into words VAR SplitByCharacter = ";" // Temporary table that splits selected phrase into words VAR Words_table = ADDCOLUMNS ( GENERATE ( SELECTCOLUMNS ( SUMMARIZE ( ALLSELECTED ( 'Sheet1 (2)' ), 'Sheet1 (2)'[Respondent ID], 'Sheet1 (2)'[Pet type (select all that apply)] ), "Find_Text", 'Sheet1 (2)'[Pet type (select all that apply)] ), VAR TokenCount = PATHLENGTH ( SUBSTITUTE ( [Find_Text], SplitByCharacter, "|" ) ) RETURN GENERATESERIES ( 1, TokenCount ) ), "Word", PATHITEM ( SUBSTITUTE ( [Find_Text], SplitByCharacter, "|" ), [Value] ) ) RETURN COUNTROWS ( FILTER ( Words_table, [Word] IN VALUES ( Pets[Pet type] ) ) ) Food Count = // Character that split phrase into words VAR SplitByCharacter = ";" // Temporary table that splits selected phrase into words VAR Words_table = ADDCOLUMNS ( GENERATE ( SELECTCOLUMNS ( SUMMARIZE ( ALLSELECTED ( 'Sheet1 (2)' ), 'Sheet1 (2)'[Respondent ID], 'Sheet1 (2)'[Favourite foods (select all that apply)] ), "Find_Text", 'Sheet1 (2)'[Favourite foods (select all that apply)] ), VAR TokenCount = PATHLENGTH ( SUBSTITUTE ( [Find_Text], SplitByCharacter, "|" ) ) RETURN GENERATESERIES ( 1, TokenCount ) ), "Word", PATHITEM ( SUBSTITUTE ( [Find_Text], SplitByCharacter, "|" ), [Value] ) ) RETURN COUNTROWS ( FILTER ( Words_table, [Word] IN VALUES ( Foods[Favourite foods] ) ) )Has you can see now you can use these two measures on your calculation:
PBIX attach.
Hi zaraanderson ,
This happens because you have made the split to rows so the other columns get the values repeated, in this case you need to use a MIN or similar on the other responses where you don't want the repeat values.
Other options, can be to create a dimension table with the ID of the answer and the most important information of the answer, like date created completion time and those type of things, then remove create an index for each group of question and the clean the columns you don't need and just keep the values for the 1st row of each response.
If you don't want to have the duplicates another option can be to treat the column where you have the several answers (the original question you did) and make a disconnected table and make a measure that find if the answer is within you column then you can do your visualization.
Can you share a small sample please.
Hi MFelix - thanks for your reply again, really appreciate your time. I can't share a sample of the actual file, but I have made a dummy file that replicates the characteristics. Link to excel file and PBI file
So basically, I have a few multiple response questions (eg. pet type, favourite foods) and if I split all those by delimiter then my file will eventually have hundreds of duplicates. For the multiple responses, I want to split them and count them individually (eg. view how many people have dogs, how many people have birds, how many people have cats) and have no interest in the combination of pets that people have. However, I need to keep the data connected to its original response so that I can use the other single response question data points as filters/slicers (eg. if we just look at 20-29 year olds, what is the dispersion of pet type?)
Hopefully this makes sense? Again I really appreciate you taking such a close look at this.
Kind regards,
Zara
- MFelix4 years agoSuper User
Hi zaraanderson ,
In this case you need to take a different approach, keeping the responses has you have you can create disconnected tables with the answrs from the multioption. In this case I have created 2 tables:
Now using this I have created the following two measures:
Pet Count = // Character that split phrase into words VAR SplitByCharacter = ";" // Temporary table that splits selected phrase into words VAR Words_table = ADDCOLUMNS ( GENERATE ( SELECTCOLUMNS ( SUMMARIZE ( ALLSELECTED ( 'Sheet1 (2)' ), 'Sheet1 (2)'[Respondent ID], 'Sheet1 (2)'[Pet type (select all that apply)] ), "Find_Text", 'Sheet1 (2)'[Pet type (select all that apply)] ), VAR TokenCount = PATHLENGTH ( SUBSTITUTE ( [Find_Text], SplitByCharacter, "|" ) ) RETURN GENERATESERIES ( 1, TokenCount ) ), "Word", PATHITEM ( SUBSTITUTE ( [Find_Text], SplitByCharacter, "|" ), [Value] ) ) RETURN COUNTROWS ( FILTER ( Words_table, [Word] IN VALUES ( Pets[Pet type] ) ) ) Food Count = // Character that split phrase into words VAR SplitByCharacter = ";" // Temporary table that splits selected phrase into words VAR Words_table = ADDCOLUMNS ( GENERATE ( SELECTCOLUMNS ( SUMMARIZE ( ALLSELECTED ( 'Sheet1 (2)' ), 'Sheet1 (2)'[Respondent ID], 'Sheet1 (2)'[Favourite foods (select all that apply)] ), "Find_Text", 'Sheet1 (2)'[Favourite foods (select all that apply)] ), VAR TokenCount = PATHLENGTH ( SUBSTITUTE ( [Find_Text], SplitByCharacter, "|" ) ) RETURN GENERATESERIES ( 1, TokenCount ) ), "Word", PATHITEM ( SUBSTITUTE ( [Find_Text], SplitByCharacter, "|" ), [Value] ) ) RETURN COUNTROWS ( FILTER ( Words_table, [Word] IN VALUES ( Foods[Favourite foods] ) ) )Has you can see now you can use these two measures on your calculation:
PBIX attach.
- zaraanderson4 years agoFrequent Visitor
Hi MFelix,
Wow I think this works. Now I have to figure out how to apply it to my actual dataset. Hopefully I can slog through that, and then let you know when I am successful. Hopefully I won't have anymore questions, but my knowledge isn't great so hopefully I can deduce without any trouble.
Thanks,
Zara
- Ashish_Mathur4 years agoSuper User
Hi,
All you need is a distincount measure on the Respondent ID column. Download my PBI file from here.
- zaraanderson4 years agoFrequent Visitor
I need to keep the data together. I'm not so concerned with the accurate respondent count as I am with keeping the data attached to various other data that I will use to slice (but need the slices to have accurate counts of a whole host of other data). does this make sense?
- Ashish_Mathur4 years agoSuper User
I do not understand what you mean by "Keeping data together".