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MartynasBI
Frequent Visitor

date and days difference

Hi,

 

I have the following table in Excel

MartynasBI_0-1688554242050.png

 

I have the same data for company_id, period, report_issue_date, report_issue_day of week in Power BI.

I would like to calculate the date_diff and days_diff columns in Power BI.

(please note that both columns should reflect the same company_id and should measure the difference from the same period last year)

 

Thanks,

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi @MartynasBI 

You can create the following two calculated column

date_diff =
VAR a =
    ADDCOLUMNS (
        'Table',
        "year", CONVERT ( LEFT ( [period], 4 ), INTEGER ),
        "Quarter", CONVERT ( RIGHT ( [period], 1 ), INTEGER )
    )
VAR b =
    MAXX (
        FILTER (
            a,
            [conpany_id] = EARLIER ( 'Table'[conpany_id] )
                && [year]
                    = CONVERT ( LEFT ( EARLIER ( 'Table'[period] ), 4 ), INTEGER ) - 1
                && [Quarter] = CONVERT ( RIGHT ( EARLIER ( [period] ), 1 ), INTEGER )
        ),
        [report_issue_date ]
    )
RETURN
    DATEDIFF ( b, [report_issue_date ], DAY )
days_diff =
VAR a =
    ADDCOLUMNS (
        'Table',
        "year", CONVERT ( LEFT ( [period], 4 ), INTEGER ),
        "Quarter", CONVERT ( RIGHT ( [period], 1 ), INTEGER )
    )
VAR b =
    MAXX (
        FILTER (
            a,
            [conpany_id] = EARLIER ( 'Table'[conpany_id] )
                && [year]
                    = CONVERT ( LEFT ( EARLIER ( 'Table'[period] ), 4 ), INTEGER ) - 1
                && [Quarter] = CONVERT ( RIGHT ( EARLIER ( [period] ), 1 ), INTEGER )
        ),
        [report_issue_day]
    )
RETURN
    IF ( b <> BLANK (), [report_issue_day] - b )

Output

vxinruzhumsft_0-1688612686323.png

Best Regards!

Yolo Zhu

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

1 REPLY 1
Anonymous
Not applicable

Hi @MartynasBI 

You can create the following two calculated column

date_diff =
VAR a =
    ADDCOLUMNS (
        'Table',
        "year", CONVERT ( LEFT ( [period], 4 ), INTEGER ),
        "Quarter", CONVERT ( RIGHT ( [period], 1 ), INTEGER )
    )
VAR b =
    MAXX (
        FILTER (
            a,
            [conpany_id] = EARLIER ( 'Table'[conpany_id] )
                && [year]
                    = CONVERT ( LEFT ( EARLIER ( 'Table'[period] ), 4 ), INTEGER ) - 1
                && [Quarter] = CONVERT ( RIGHT ( EARLIER ( [period] ), 1 ), INTEGER )
        ),
        [report_issue_date ]
    )
RETURN
    DATEDIFF ( b, [report_issue_date ], DAY )
days_diff =
VAR a =
    ADDCOLUMNS (
        'Table',
        "year", CONVERT ( LEFT ( [period], 4 ), INTEGER ),
        "Quarter", CONVERT ( RIGHT ( [period], 1 ), INTEGER )
    )
VAR b =
    MAXX (
        FILTER (
            a,
            [conpany_id] = EARLIER ( 'Table'[conpany_id] )
                && [year]
                    = CONVERT ( LEFT ( EARLIER ( 'Table'[period] ), 4 ), INTEGER ) - 1
                && [Quarter] = CONVERT ( RIGHT ( EARLIER ( [period] ), 1 ), INTEGER )
        ),
        [report_issue_day]
    )
RETURN
    IF ( b <> BLANK (), [report_issue_day] - b )

Output

vxinruzhumsft_0-1688612686323.png

Best Regards!

Yolo Zhu

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

 

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