Multiple Filters COUNTROWS - Too Few Arguments Passed

[InsureBI]

I have a "Policy" table with the following information:

Policy No., Issued_Date, Premium, Policy_Type

10001,1/1/2016,250,P

10002,1/1/2016,300,P

10003,1/2/2016,260,S

10004,1/2/2016,320,P

10005,1/3/2016,250,S

10006,1/3/2016,310,P

10007,1/4/2016,360,P

10008,1/4/2016,300,S

I want to create a table and a graph that shows cumulative number of policies (or records) by issued date and by policy type:

Date,Policy Type P, Policy Type S

 1/1/2016,2,0

1/2/2016,3,1

1/3/2016,4,2

1/4/2016,5,3

I created a new measure called Cumulative_Policy_Count_P, for Policy Type P:

Cuml_Pol_Count_P = CALCULATE (
COUNTROWS (Policy),
FILTER (ALLSELECTED(Policy),
Policy[ISSUED_DATE] <= MAX (Policy[ISSUED_DATE])),
FILTER(Policy[POLICY_TYPE] = "P")
)

This results in an error : Too few arguments were passed to FILTER function.

What am I doing wrong?

Thanks.

[v-ljerr-msft · Accepted solution]

@InsureBI

In addition to ankitpatira's solution, you should be able to create a measure to calculate the cumulative number of policies (or records) by issued date and by policy type as you mentioned above. The formulas below are for your reference.

Cuml_Pol_Count_P = 
CALCULATE (
    IF ( ISBLANK ( COUNTROWS ( Policy ) ), 0, COUNTROWS ( Policy ) ),
    FILTER (
        ALLSELECTED ( Policy ),
        Policy[ISSUED_DATE] <= MAX ( Policy[ISSUED_DATE] )
            && Policy[POLICY_TYPE] = "P"
    )
)

Cuml_Pol_Count_S = 
CALCULATE (
 IF ( ISBLANK ( COUNTROWS ( Policy ) ), 0, COUNTROWS ( Policy ) ),
 FILTER (
 ALLSELECTED ( Policy ),
 Policy[ISSUED_DATE] <= MAX ( Policy[ISSUED_DATE] )
 && Policy[POLICY_TYPE] = "S"
 )
)

Following is the result of the measures in report.

Regards

[InsureBI]

Thanks to Ankitpatira and JerryLi for posting the solutions.  I chose to go with Jerry's solution (and it worked!) to avoid duplicating data, but I will use Ankitpatira's solution if I find myself creating too many new measures.

[ankitpatira]

@InsureBI You can do that by going to power bi desktop query editor -> right click your original table and create duplicate -> remove column Premium -> hightlight column Policy_Type and under Transform tab clikc Pivot column -> under Values select Policy_no and under Advanced option select Count(All). This will give you table in your preferred output.