Power BI date extrapolation

[Anonymous]

I have a table showing people's names, a start date and an end date. I am wanting to make a plot where it shows when (in the past 6 months) people have been active.

My table looks something like

NAME   |  Start   |   End

---------------------------

Bob . |   2019-02-01 . | 2019-08-23

Joe .  | .2011-05-15 . | 2019-08-28

John | 2017-02-5 . | 2018-05-08

And what I am hoping to make is a table (for plotting) like this

DATE .     | .   # of active users

---------------------------------

2011-04 .  | .    0

2011-05 .  |     1 .    (where joe starts)

2011-06 .  | .   1

...

2017-01 . | .    1

2017-02 . |      2 .   (where john starts)

2017-03 . | .    2

...

2018-04 . | .   2

2018-05  | .    2 .   (where John stops)

2018-06 . | .    1

...

2019-01 . | .    1

2019-02  | .    2 .     (Bob starts)

2019-03 . | .    2

...

2019-07 . | .   2

2019-08 . | .    2 .  (both Bob and Joe stop)

2019-09   |     0

I can't seem to get Power BI to behave when it comes to date extrapolations. Any help is greatly appreciated!

[v-eachen-msft · Accepted solution]

Hi @Anonymous ,

At first, you need a calendar table.

Date =
CALENDAR ( MIN ( 'Status'[Start] ), MAX ( 'Status'[End] ) )

Then add a column to get YEAR&MONTH.

YM =
YEAR ( 'Date'[Date] ) * 100
    + MONTH ( 'Date'[Date] )

Then add column “startYM” and column “endYM”  in another table which contains names.

StartYM =
YEAR ( 'Status'[Start] ) * 100
    + MONTH ( 'Status'[Start] )

EndYM =
YEAR ( 'Status'[End] ) * 100
    + MONTH ( 'Status'[End] )

Cross join two tables.

Table =
CROSSJOIN ( DISTINCT ( SELECTCOLUMNS ( 'Date', "YM", 'Date'[YM] ) ), 'Status' )

Add a new column to get the count and use a new measure to sum it.

count =
IF ( 'Table'[YM] >= 'Table'[StartYM] && 'Table'[YM] <= 'Table'[EndYM], 1, 0 )

Measure =
SUM ( 'Table'[count] )

Now , you can use visuals to get result.

Best Regards,

Eads

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.