Creating a plot of retention/persistence (in general, cummulative distribution function)

[jayant91089]

Hi All

I have a table similar to the sample pasted below:

t	gender	count
0	M	50
0	F	40
1	M	40
1	F	35
2	M	31
2	F	30
3	M	24
3	F	22
4	M	20
4	F	17
5	M	15
5	F	12

Each row has a time field t, a count field and several other fields describing population characteristics (i have only included gender in this dummy example). The count field gives the number of subscribers with given characteristics that were retained beyond time t. 

I want to plot percentage of time t=0 subscribers that were retained beyond a particular time t as a function of t. Population characteristics are to go into slicers. In more mathematical terms, I want:

The issue I am having is as follows:

Every time a selection of population characteristics is made in the slicers, the total time t=0 population (denominator in above equation) with those characteristics changes. So far I have been able to create measures for each time t* in {0,1,2,3,4,5} that give the correct value, which I can then show on a card. However I would like to actually plot p[t*,slice] vs t*, which is where I am stuck.

Is there some way to create measure that has a different value for different t* and plot it? Or should I be rearranging the table in some way?

Thanks 

[v-shex-msft]

Hi @jayant91089,

Current Dax functions seems not suitable for your calculate logic. Actually, data model not contains any index to find out the specific value.
Maybe you can try to write power query function to achieve your requirement, it support to use column name and row index to find out specific value.

Sample:

Value = 'Query Name'['Column Name']{Index-1}

Above formula will find out the 6th 'count' column value.

Regards,

Xiaoxin Sheng