Dear all,
Target
I have made a table which includes a lot of interview/questionnaire data. Of these data I have made many different pivot tables with their own charts and one universal filter which is linked to them all. Everything works properly, but I only have one thing I cannot solve..
A few answers on questions can contain more than one answer. For example:
Question: What kind of music style do you prefer?
Answers:
1. pop, rock, country
2. pop, rock
3. country, classical, pop
4. pop
5. classical, rock
And so on.
Now, I would like to have a pivot table which shows how many people listen to pop, how many people listen to rock, how many people listen to classical, and so on..
Problem and Question
If I make a pivot table from this data in this status, the pivot table sees everything as one separate answer (so, it sees "pop, rock, country" as 1 answer, "pop, rock" as 1 answer, etc). This means, it counts not the separate music styles, but only counts the separate answers. Has someone the solution for this problem?
The thing I already tried
I tried to make extra rows in my original data table that show the answers separately. Every person got a 0 if he doesn't like the music style and every person got a 1 if he does like the music style. To give an example:
Pop Classical Rock Country Person 1 1 0 1 1 Person 2 1 0 1 0 Person 3 1 1 0 1
In this way it can easily count how many people like what kind of music style. The only problem is, I still cannot create one pivot table which includes all these data. The only thing I can do with this, is to make 4 different pivot tables with their own separate music style. This means, I will also get 4 different charts which all are showing one bar only. If it is possible to combine these 4 pivot tables into 1 pivot table or to combine the 4 pivot charts into 1 pivot chart, it also will give me the solution. Nevertheless, I have read so many forums, articles, etc. but I can't find the solution of this anywhere!
I hope I clarified it well.
I really really hope someone can help me!
Thank you a lot!
Wendy
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