Dynamic Frequency Distribution (Across 2 Tables)

Hi,

Banging my head on the wall on this one.

I have Table A (simplified) - which is a master list of users:

user_id

and Table B - which is a detail of games played over time by users (simplified):

game_id
user_id
play_date

A user may have multiple entries in Table B.

The tables are linked, one to many, on user_id.

I want to show, for a given date range (play_date, set as a Visual Filter), the played game frequency distribution. i.e. Over the last 30 days, 5 people have played 2 times, 11 people have played 3 times etc...

It's easy enough to get the computed data into a table by dropping in a field from Table B and simply using Count.

It's also easy to create a measure in Table A with the data:

games_played = COUNTROWS(RELATEDTABLE('Table B'))

But - using a histogram, or a bar chart, I can't use the measure, nor can I seem to use a computed data value.

The result should be something like the below, which tells me that most users play once or twice per period. The trick is also, that the period, as mentioned above should be a visual filter, so I can show multiple charts over different date ranges!