Forum Discussion
Creating Average measures for table
I have a table of ticket sales for different events, each row is a seat. If the seat is still available the "Price" column is empty. I have created a couple of measures that give me the number of ticket sales and the total renevue that will then repond to the filter context I am currently using. However I wish to create an average #sales and average revenue per event for the context.
My measures are:
Total Sales = COUNT(AllSeatsData[Price])
Total Revenue = SUM(AllSeatsData[Price])
Here is some samples of my table:
Hence if my filter context has only the two above events in it, I am looking for measure that gives me the average of SUM([Price]) and one that gives me the average of COUNT([Price]). E.g. if the data above were the only rows in the table for these events, the average of #sales should be 9 (event 39001 has 6 sales, event 45201 has 12, average of 6 & 12 is 9).
I'm sure this is quite easy but I can't get my head around the maniputation of the context.
TIA.
First aggregate at the level you need for your business logic, then use AVERAGEX. If event is the granularity you want to average at, try this:
Event Avg Count = VAR __Events = SUMMARIZE ( AllSeatsData, AllSeatsData[Event Instance ID], "@Count", COUNTA ( AllSeatsData[Price] ) ) RETURN AVERAGEX ( __Events, [@Count] )
2 Replies
First aggregate at the level you need for your business logic, then use AVERAGEX. If event is the granularity you want to average at, try this:
Event Avg Count = VAR __Events = SUMMARIZE ( AllSeatsData, AllSeatsData[Event Instance ID], "@Count", COUNTA ( AllSeatsData[Price] ) ) RETURN AVERAGEX ( __Events, [@Count] )Brilliant, that works great. Thanks AlexisOlson !
