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Anonymous
Not applicable

Count of items by date on Line Chart

I have a list of items with a history and I want to get a count of specific type of item (bug) for each date and status to show a trend

 

This query works great to sum up  all my items

Dev Complete =

   IF ( Contains (LineTableVisibility,LineTableVisibility[ID], 3 ),

      CALCULATE(

          SUM(AllWorkItems[Story Points]),

             FILTER(ALLSELECTED(AllWorkItems[Date],AllWorkItems[State] ),

                 AllWorkItems[Date] <= MAX(AllWorkItems[Date])  &&

                 AllWorkItems[State] in { "CLOSED" , "ACCEPTED", "READY FOR TEST", "IN TEST", "RESOLVED", "NEXT ER"}

         )

     ),

   Blank()

   )

 

But What if i just wnat to get a count of how many there are for each day.    I have tried this but it just gets the same total for every day

 

TotalBugCountByDate =

CALCULATE(

      COUNT(AllWorkItems[Work Item Type]),

            FILTER(ALLSELECTED(AllWorkItems[Date],AllWorkItems[State],AllWorkItems[Work Item Type] ),

            AllWorkItems[Date] <= MAX(AllWorkItems[Date]) &&

            AllWorkItems[State] in {"New","Resolved","Fixed","Fix_Pending","CLOSED","Open","Verification_Pending"} &&

            AllWorkItems[Work Item Type] = "Bug"

         )

   )

 

1 ACCEPTED SOLUTION
Anonymous
Not applicable

HI @Anonymous,

You can try to use the following measure formula if it helps:

TotalBugCountByDate =
CALCULATE (
    COUNT ( AllWorkItems[Work Item Type] ),
    FILTER (
        ALLSELECTED ( AllWorkItems ),
        AllWorkItems[Date] <= MAX ( AllWorkItems[Date] )
            && AllWorkItems[State]
            IN {
            "New",
            "Resolved",
            "Fixed",
            "Fix_Pending",
            "CLOSED",
            "Open",
            "Verification_Pending"
        }
            && AllWorkItems[Work Item Type] = "Bug"
    ),
    VALUES ( AllWorkItems[Date] ),
    VALUES ( AllWorkItems[State] )
)

If the above also not hlep, can you please share a pbix or some dummy data that keep the raw data structure with expected results? It should help us clarify your scenario and test to coding formula.

How to Get Your Question Answered Quickly  

Regards,

Xiaoxin Sheng

View solution in original post

4 REPLIES 4
danextian
Super User
Super User

Hi @Anonymous ,

 

You can do something like

=
CALCULATE (
    SUM ( table[value] ),
    ALLEXCEPT ( table, table[column1], table[column2] )
)




Dane Belarmino | Microsoft MVP | Proud to be a Super User!

Did I answer your question? Mark my post as a solution!


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Anonymous
Not applicable

my table has a lot of colums and I am not looking for a sum..  I am I just want a count.   of the items by a specific type

 

Anonymous
Not applicable

HI @Anonymous,

You can try to use the following measure formula if it helps:

TotalBugCountByDate =
CALCULATE (
    COUNT ( AllWorkItems[Work Item Type] ),
    FILTER (
        ALLSELECTED ( AllWorkItems ),
        AllWorkItems[Date] <= MAX ( AllWorkItems[Date] )
            && AllWorkItems[State]
            IN {
            "New",
            "Resolved",
            "Fixed",
            "Fix_Pending",
            "CLOSED",
            "Open",
            "Verification_Pending"
        }
            && AllWorkItems[Work Item Type] = "Bug"
    ),
    VALUES ( AllWorkItems[Date] ),
    VALUES ( AllWorkItems[State] )
)

If the above also not hlep, can you please share a pbix or some dummy data that keep the raw data structure with expected results? It should help us clarify your scenario and test to coding formula.

How to Get Your Question Answered Quickly  

Regards,

Xiaoxin Sheng

Anonymous
Not applicable

HI @Anonymous,

Can you please share some dummy data with expected results? They should help us clarify your data structure and test to coding formula.

How to Get Your Question Answered Quickly - Microsoft Power BI Community

Regards,

Moonlight

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