Earn the coveted Fabric Analytics Engineer certification. 100% off your exam for a limited time only!
Hi,
I have a set of data which contians customer satisfaction scores for a range of different locations and I need to create a bar chart which gives a count of locations for each average satisfaction score e.g. 3 locations may have an average score of 80 and 8 locations may have an average score of 95. I would expect to see this as 2 blocks on the graph, one with a height of 8 at the 95 mark and one with a height of 3 at 80.
I would like the x-axis to show average satisfaction scores (as whole numbers between 1-100) and the y-axis to be a count of the number of properties.
Any help would be much appreciated.
Cheers
Paul
Solved! Go to Solution.
Firstly create a calculate column average to achieve the average value every location:
Average = CALCULATE(AVERAGE(Table1[Satisfaction]), ALLEXCEPT(Table1, Table1[Location]))Then create a measure to achieve the distinct count every average value:
Count = CALCULATE(DISTINCTCOUNT(Table1[Location]), ALLEXCEPT(Table1, Table1[Average]))Finally drag Average to X-axis, Count to Value field, the result is like below:
Did I answer your question correctly? Mark my answer as a solution!
Proud to be a Datanaut!
Firstly create a calculate column average to achieve the average value every location:
Average = CALCULATE(AVERAGE(Table1[Satisfaction]), ALLEXCEPT(Table1, Table1[Location]))Then create a measure to achieve the distinct count every average value:
Count = CALCULATE(DISTINCTCOUNT(Table1[Location]), ALLEXCEPT(Table1, Table1[Average]))Finally drag Average to X-axis, Count to Value field, the result is like below:
User | Count |
---|---|
128 | |
108 | |
99 | |
65 | |
62 |
User | Count |
---|---|
137 | |
115 | |
102 | |
71 | |
61 |