Dynamic double date filter

[AGo]

Hi everybody,
In power BI I can't use a date what if parameter and I can't dynamic filter a calculated table with the result of a measure, so I'm looking for a solution to this problem.

My table has these fields, Object ID (PK), Attended delivery date, Delivery date (if delivered), Quantity.

I would like to report two filters (consumption dates and forecast dates) and three tables with their quantities (consumption object list, forecast object list and the union of the two).
So I don't want to analyze only how many objects have been delivered by now and how many are waiting to be delivered now, but I want to give the user the chance to determine with two filters when in the past to start considering objects as consumptive or forecasted.

Attention: an object which is in consumptive table doesn't have to exist in forecast table.

I hope someone has a solution to this.

Thanks in advance

[v-xicai]

Hi @AGo ,

>>but I want to give the user the chance to determine with two filters when in the past to start considering objects as consumptive or forecasted.

I am not sure what desired result would you want, could you please share your sample data and desired output screenshots for further analysis? You can also upload sample pbix to OneDrive and post the link here. Do mask sensitive data before uploading.

Please read this post to get your answer quickly: How to Get Your Question Answered Quickly.

Best Regards,

Amy

[AGo]

Sorry I can't use OneDrive because of non public link company policy. 

Used this:

https://mega.nz/#!bswlGQ5Y!JS9WPRYrl5iEIuLTdgDTH4k7gQu2H1EOR7tSQAA7NFE

Thanks

@v-xicai 

[amitchandak]

I created it in two ways.

First I created two formula

Forecast Out = CALCULATE(DISTINCTCOUNT('Table'[PK]),ALLEXCEPT('Table','Table'[Forecast date]))
Effective Out = CALCULATE(DISTINCTCOUNT('Table'[PK]),ALLEXCEPT('Table','Table'[Effective delivery]))

Also done using do different date dimensions

Join Effective = CALCULATE(DISTINCTCOUNT('Table'[PK]),CROSSFILTER('Table'[Forecast date],'Forecast Date'[Forecast date],None))
Join Forecast = CALCULATE(DISTINCTCOUNT('Table'[PK]),CROSSFILTER('Table'[Effective delivery],Eff_date[Effec date],None))

If fine and need, I can upload the pbix to dropbox