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snortham
New Member

Calculating days between dates in same column

I am trying to calculate the number of days a campaign stayed in each status. With my current formula, if a campaign id has multiple entries on the same day, it counts days in status twice, rather than a 0. I have highlighted a few examples. 

This is the current formula I am using with [days since] being # of days since the campaign was created.

 

Days in status = [days since]-LOOKUPVALUE(campaigns_logs[days since],campaigns_logs[campaign.id],[campaign.id],campaigns_logs[change_date].[Date],CALCULATE(MAX(campaigns_logs[change_date].[Date]),FILTER(campaigns_logs,campaigns_logs[campaign.id]=EARLIER(campaigns_logs[campaign.id])&&campaigns_logs[change_date]<EARLIER(campaigns_logs[change_date]))))

 

 
 days in status.PNG

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi @snortham ,

 

Here I suggest you to add an index column by group of [campaign.id] and [change_date].

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjE3sVTSUTIyMDLSNzTUNwKyHZNLMstSdX2AhFKsDlYlnnkKAUX5yanFxdhUmGBTYWqIpMLQBKs9mGowLTJDVmJGWIkFYZuMDAkaYwTytUd+Toquc05mal4JVjXG2AMPRY0FdnOMkdVYYjcHQw0x5mB6C6HESN8UTUUsAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [compaign.id = _t, change_date = _t, #"previous_value - key" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"compaign.id", Int64.Type}, {"change_date", type date}, {"previous_value - key", type text}}),
    #"Renamed Columns" = Table.RenameColumns(#"Changed Type",{{"compaign.id", "campaign.id"}}),
    #"Grouped Rows" = Table.Group(#"Renamed Columns", {"campaign.id", "change_date"}, {{"Rows", each _, type table [campaign.id=nullable number, change_date=nullable date, #"previous_value - key"=nullable text]}}),
    #"Added Custom" = Table.AddColumn(#"Grouped Rows", "Custom", each Table.AddIndexColumn([Rows],"Index",1)),
    #"Expanded Custom" = Table.ExpandTableColumn(#"Added Custom", "Custom", {"previous_value - key", "Index"}, {"Custom.previous_value - key", "Custom.Index"}),
    #"Removed Columns" = Table.RemoveColumns(#"Expanded Custom",{"Rows"}),
    #"Renamed Columns1" = Table.RenameColumns(#"Removed Columns",{{"Custom.previous_value - key", "previous_value - key"}, {"Custom.Index", "Index"}}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Renamed Columns1",{{"Index", Int64.Type}})
in
    #"Changed Type1"

For refernece: Create Row Number for Each Group in Power BI using Power Query

New table looks like as below.

RicoZhou_0-1671436640249.png

Then update your calculated column code as below.

Days in status =
IF (
    campaigns_logs[Index] = 1,
    [days since]
        - LOOKUPVALUE (
            campaigns_logs[days since],
            campaigns_logs[campaign.id], [campaign.id],
            campaigns_logs[change_date].[Date],
                CALCULATE (
                    MAX ( campaigns_logs[change_date].[Date] ),
                    FILTER (
                        campaigns_logs,
                        campaigns_logs[campaign.id] = EARLIER ( campaigns_logs[campaign.id] )
                            && campaigns_logs[change_date] < EARLIER ( campaigns_logs[change_date] )
                    )
                )
        ),
    0
)

 

Best Regards,
Rico Zhou

 

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

View solution in original post

3 REPLIES 3
Smshinde21
New Member

Hi All,

 

I'm looking for a support.

 

I want to calculate number of days between first and last date in the same column where I'm having multiple same ID entries with multiple dates

 

Can I get support with the DAX function logic? 🙏

Anonymous
Not applicable

Hi @snortham ,

 

Here I suggest you to add an index column by group of [campaign.id] and [change_date].

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjE3sVTSUTIyMDLSNzTUNwKyHZNLMstSdX2AhFKsDlYlnnkKAUX5yanFxdhUmGBTYWqIpMLQBKs9mGowLTJDVmJGWIkFYZuMDAkaYwTytUd+Toquc05mal4JVjXG2AMPRY0FdnOMkdVYYjcHQw0x5mB6C6HESN8UTUUsAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [compaign.id = _t, change_date = _t, #"previous_value - key" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"compaign.id", Int64.Type}, {"change_date", type date}, {"previous_value - key", type text}}),
    #"Renamed Columns" = Table.RenameColumns(#"Changed Type",{{"compaign.id", "campaign.id"}}),
    #"Grouped Rows" = Table.Group(#"Renamed Columns", {"campaign.id", "change_date"}, {{"Rows", each _, type table [campaign.id=nullable number, change_date=nullable date, #"previous_value - key"=nullable text]}}),
    #"Added Custom" = Table.AddColumn(#"Grouped Rows", "Custom", each Table.AddIndexColumn([Rows],"Index",1)),
    #"Expanded Custom" = Table.ExpandTableColumn(#"Added Custom", "Custom", {"previous_value - key", "Index"}, {"Custom.previous_value - key", "Custom.Index"}),
    #"Removed Columns" = Table.RemoveColumns(#"Expanded Custom",{"Rows"}),
    #"Renamed Columns1" = Table.RenameColumns(#"Removed Columns",{{"Custom.previous_value - key", "previous_value - key"}, {"Custom.Index", "Index"}}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Renamed Columns1",{{"Index", Int64.Type}})
in
    #"Changed Type1"

For refernece: Create Row Number for Each Group in Power BI using Power Query

New table looks like as below.

RicoZhou_0-1671436640249.png

Then update your calculated column code as below.

Days in status =
IF (
    campaigns_logs[Index] = 1,
    [days since]
        - LOOKUPVALUE (
            campaigns_logs[days since],
            campaigns_logs[campaign.id], [campaign.id],
            campaigns_logs[change_date].[Date],
                CALCULATE (
                    MAX ( campaigns_logs[change_date].[Date] ),
                    FILTER (
                        campaigns_logs,
                        campaigns_logs[campaign.id] = EARLIER ( campaigns_logs[campaign.id] )
                            && campaigns_logs[change_date] < EARLIER ( campaigns_logs[change_date] )
                    )
                )
        ),
    0
)

 

Best Regards,
Rico Zhou

 

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

danextian
Super User
Super User

Hi @snortham ,

 

You can use SUMX to virtually remove the duplicates within a measure.

=
SUMX (
    // create a virtual table of unique rows of campaign id, status and days in status
    SUMMARIZE (
        'Table',
        'Table'[Campaign ID],
        'Table'[Status],
        'Table'[Days in status]
    ),
    'Table'[Days in status]
)

 

=SUMX(VALUES(





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

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