Customer segmentation mix over time

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srl01 wrote:

I'm working with a sales transaction dataset with unique customer IDs for each customer, and want to graph customer segments overtime (defined various ways, but to start off I want to split into 2 segments - HighFrequencyCustomers, who have move than 6 transactions in the previous 12 months, and then all the rest).
 

TransactionsLast12Months = calculate(distinctcount(SalesRawData[TransactionCode]),filter(SalesRawData,SalesRawData[customerCode]<=max(SalesRawData[customerCode])),filter(all('Calendar'[Date]),'Calendar'[Date]>max('Calendar'[Date])-365 && 'Calendar'[Date]<=max('Calendar'[Date])))

IsHighFrequencyCustomer = [TransactionsLast12Months]>6

So far so good.
But how do I use the IsHighFrequencyCustomer as a filter or axis to be able to show the change over time in the mix between these two customer groups?
 
Would greatly appreciate guidance.
 

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srl01

It is not possible to put a measure to axis. To show the change over time, you can put calendar dates as X-axis and create two measures in a linechart. 

HighFrequencyCustomer = calculate( [some expression], FILTER('table',IsHighFrequencyCustomer))

NonHighFrequencyCustomer = calculate( [some expression], FILTER('table',NOT(IsHighFrequencyCustomer)))