Forum Discussion
include multiple columns as a legend in one chart(not dynamic legend)
I have a table containing answeres yes/no for one question from many people. I have a simple measure which calculates % of yes answeres:
%_ = calculate(count(person_id), answer="yes")/calculate(count(person_id)))
per each row(per each person) I have his/her gender and age group in two separated column, how can I visualise a simple bar chart, where I will have measure per each gender and age group in one axis, like this
Thanks in advance!
Hi , Anonymous
According to your description, you want to show gender and age on the X-axis of the bar chart. Is that right?
For your needs, you need to create a new single-column table as a field on the X axis, and then create a measure to evaluate different values for each case, and then place it on the Y axis to meet your needs.If you need us to make a case for you, you can provide some sample data to us.
Thank you for your time and sharing, and thank you for your support and understanding of PowerBI!
Best Regards,
Aniya Zhang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
2 Replies
- lbendlin
Super User
Usually you create a reference table with the desired buckets and then add a measure or calculated column with the computation for each bucket (and another column with the sort order)
- v-yueyunzh-msft
Community Support
Hi , Anonymous
According to your description, you want to show gender and age on the X-axis of the bar chart. Is that right?
For your needs, you need to create a new single-column table as a field on the X axis, and then create a measure to evaluate different values for each case, and then place it on the Y axis to meet your needs.If you need us to make a case for you, you can provide some sample data to us.
Thank you for your time and sharing, and thank you for your support and understanding of PowerBI!
Best Regards,
Aniya Zhang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
