How to calculate conditional average by aggregating rows mapped to each participant?

[osaamashehzad]

I am doing a survey analysis in which each participant is identified by a unique identifier called "ID". The table contains the following cols: 

1. Question: describes the question asked
2. Category: describes the category that questions are mapped
3. Score: the rating that respondent gave from 1 to 5 

What I want to do is create 2 new columns: "Wellbeing Average" and "is Favorable" for each participant ID. The first metric is supposed to calculate the average of scores received in all questions per participant that are have category = "wellbeing". The second metric is basically a condition which should return TRUE if the average is >= 4, else FALSE. For example, the output should look like this

Desired Output: 

Below is the snapshot of table

by the way, Tableau has a very straightforward calc for this i.e. 

{FIXED ID: AVERAGE (IF CATEGORY = "Wellbeing" THEN SCORE RETURN)} 

but a similar version in PowerBI is unbelievingly confusing to find! please help so I can learn this. 

[osaamashehzad]

yes this helps! thank you so much. 

[Aibloy · Accepted solution]

Hi  , 
In PowerBI you have a function that is call CALCULATE.With this function you can modify the context in which a expression is evaluated,

In your scenario, you want to evaluate the expression "Average":

Average_Wellbeing = AVERAGE('Table'[Score]) 

But, you want to evaluate this expression in a certain context, so, with CALCULATE:

 CALCULATE(AVERAGE('Table'[Score]),'Table'[Category]="Wellbeing") 

Replacing 'Table' by your Table Name.

Hope it helps!

@osaamashehzad