Calculate Sum Per grouping for Latest date

[Anonymous]

I have a table that looks loosely like this:

Project Name	SprintName	SprintDate	Value
ProjectA	Back-End	22-Oct	6
ProjectA	Front-End	21-Oct	5
ProjectA	Front-End	20-Oct	2
ProjectA	Back-End	21-Oct	1
ProjectB	Front-End	22-Oct	5

I want in a metric (to be more specific, it will be defined as a variable amidst a larger equation), a way to sum the Values (column 4) from only the latest (Column 3) of each Sprint Name (Column 2). Within the report that are filtered by Project Names (Column 1).

I've tried filters, and group by's but since the latest date isn't always the same between sprints (one sprint's latest update is on October 22nd, the other is on October 21st), I'm having difficulty coming up with the right dax function.

Anyone have any idea?

[Anonymous]

Sorry, I forgot to Specify something. 

There's a 5th column in the table that needs to be included in the filters.

So right now I have the following which doesn't work:

SUMX(
        VALUES(ProjectTable[SprintName]),
        CALCULATE(SUM(ProjectTable[Value]), FILTER(ProjectTable[Type] = "typeA" &&
            'ProjectTable[SprintDate] = MAX ( ProjectTable[SprintDate])))) 

 And since this will ultimately be just a variable inside a larger metric calculation, I don't want to summarize a new table for it.

[Anonymous · Accepted solution]

I'm replying to myself because I think I solved it doing the following:

In my Table I created a column that checks the latest date:

MaxDate = CALCULATE(MAX('ProjectTable[SprintDate]),FILTER('ProjectTable, ProjectTable[SprintName]=EARLIER(ProjectTable[SprintName])))

and then a second column to create a flag

LatestValue = If(ProjectTable[Metric Date] = ProjectTable[MaxDate], 1, 0)

Finally the measure itself has the following formula

    SUMX(
        VALUES(ProjectTable[SprintName]),
        CALCULATE(
            SUM(Project Table[Value]), 
                FILTER(ProjectTable,ProjectTable[Type] = "TypeA"
                && ProjectTable[LatestValue] = "1")
            ))