I'm trying to formulate weighted average measures in PowerBi for survey data. I've currently got the following two tables (simplified):
Survey Data
ID How would you score the service? Do you agree with X?
---------------------------------------------------------------------------
23 Fair Agree
24 Poor Strongly disagree
25 Fair Agree
26 Very poor *blank*
27 Very good Strongly agree
Weights
Weight Score Likert
-------------------------------------------------
1 Very poor Strongly disagree
2 Poor Disagree
3 Fair Neither agree nor disagree
4 Good Agree
5 Very good Strongly Agree
There's currently a relationship between 'surveydata'[How would you score the service?]
and 'weights'[weight]
.
The weighted average formula I'm trying to calculate is the following:
(x1 * w1) + (x2 * w2) + ... (xn * wn)
Weighted Ave = ___________________________________________
x1 + x2 + ... xn
Where:
w = weight of answer choice
x = response count for answer choice
For the example above, I would need two measures - a weighted average for 'surveydata'[How would you score the service?]
and one for 'surveydata'[Do you agree with X?]
.
For the example above, the weighted average measure for 'surveydata'[How would you score the service?]
should be 2.8.
Note that one of the complications is the fact that there are *blank* cells.
Can anyone suggest a way of doing this in PowerBI with calculated measures (or otherwise)?