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    <title>topic Avg days open for open tickets only_3 mth rolling in DAX Commands and Tips</title>
    <link>https://community.fabric.microsoft.com/t5/DAX-Commands-and-Tips/Avg-days-open-for-open-tickets-only-3-mth-rolling/m-p/3322943#M124410</link>
    <description>&lt;P&gt;&lt;SPAN&gt;Hello Everyone,&lt;BR /&gt;I hope you can help me with my topic.&lt;BR /&gt;&lt;BR /&gt;I've been trying to formulate a solution to one problem for some time now. I want to count avg days open for tickets in system for individual weeks. However, I am not talking about the result of the average time for closed tickets, but for those that were still open in a given week:&amp;nbsp;&lt;/SPAN&gt;(Sum of the days open of all open tickets) / (Count of open tickets).&amp;nbsp;Time is calculated from date ticket is entered in the system to date of calculation.&amp;nbsp;&lt;BR /&gt;&lt;BR /&gt;The data I work on is updated daily. So a ticket that was still open one day may already have a closing date the next day.&lt;BR /&gt;Then given the average days open result for each week, I need to count the 3 month rolling result (last 12 weeks).&lt;BR /&gt;&lt;BR /&gt;Sample table with data. If the "Close Date" is blanc then the ticket is still open:&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;&lt;TABLE&gt;&lt;TBODY&gt;&lt;TR&gt;&lt;TD&gt;Create Date&lt;/TD&gt;&lt;TD&gt;Ticket Number&lt;/TD&gt;&lt;TD&gt;Close Date&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;07.03.2022&lt;/TD&gt;&lt;TD&gt;80159740&lt;/TD&gt;&lt;TD&gt;30.06.2023&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;19.05.2022&lt;/TD&gt;&lt;TD&gt;80160647&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;29.06.2022&lt;/TD&gt;&lt;TD&gt;80161057&lt;/TD&gt;&lt;TD&gt;04.04.2023&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;28.06.2022&lt;/TD&gt;&lt;TD&gt;80161081&lt;/TD&gt;&lt;TD&gt;23.05.2023&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;04.07.2022&lt;/TD&gt;&lt;TD&gt;80161108&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;25.07.2022&lt;/TD&gt;&lt;TD&gt;80161389&lt;/TD&gt;&lt;TD&gt;23.05.2023&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;09.08.2022&lt;/TD&gt;&lt;TD&gt;80161686&lt;/TD&gt;&lt;TD&gt;04.04.2023&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;19.08.2022&lt;/TD&gt;&lt;TD&gt;80161792&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;25.08.2022&lt;/TD&gt;&lt;TD&gt;80161902&lt;/TD&gt;&lt;TD&gt;19.04.2023&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;12.09.2022&lt;/TD&gt;&lt;TD&gt;80162016&lt;/TD&gt;&lt;TD&gt;25.04.2023&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;13.09.2022&lt;/TD&gt;&lt;TD&gt;80162017&lt;/TD&gt;&lt;TD&gt;24.04.2023&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;13.10.2022&lt;/TD&gt;&lt;TD&gt;80162496&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;13.10.2022&lt;/TD&gt;&lt;TD&gt;80162498&lt;/TD&gt;&lt;TD&gt;03.04.2023&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;14.10.2022&lt;/TD&gt;&lt;TD&gt;80162528&lt;/TD&gt;&lt;TD&gt;18.04.2023&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;01.11.2022&lt;/TD&gt;&lt;TD&gt;80162756&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;11.11.2022&lt;/TD&gt;&lt;TD&gt;80162935&lt;/TD&gt;&lt;TD&gt;12.04.2023&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;11.11.2022&lt;/TD&gt;&lt;TD&gt;80162936&lt;/TD&gt;&lt;TD&gt;12.04.2023&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;22.11.2022&lt;/TD&gt;&lt;TD&gt;80163093&lt;/TD&gt;&lt;TD&gt;23.05.2023&lt;/TD&gt;&lt;/TR&gt;&lt;/TBODY&gt;&lt;/TABLE&gt;&lt;P&gt;&lt;BR /&gt;&lt;BR /&gt;I will be very grateful for your help!&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;/P&gt;</description>
    <pubDate>Mon, 10 Jul 2023 09:50:28 GMT</pubDate>
    <dc:creator>Juzdeppe</dc:creator>
    <dc:date>2023-07-10T09:50:28Z</dc:date>
    <item>
      <title>Avg days open for open tickets only_3 mth rolling</title>
      <link>https://community.fabric.microsoft.com/t5/DAX-Commands-and-Tips/Avg-days-open-for-open-tickets-only-3-mth-rolling/m-p/3322943#M124410</link>
      <description>&lt;P&gt;&lt;SPAN&gt;Hello Everyone,&lt;BR /&gt;I hope you can help me with my topic.&lt;BR /&gt;&lt;BR /&gt;I've been trying to formulate a solution to one problem for some time now. I want to count avg days open for tickets in system for individual weeks. However, I am not talking about the result of the average time for closed tickets, but for those that were still open in a given week:&amp;nbsp;&lt;/SPAN&gt;(Sum of the days open of all open tickets) / (Count of open tickets).&amp;nbsp;Time is calculated from date ticket is entered in the system to date of calculation.&amp;nbsp;&lt;BR /&gt;&lt;BR /&gt;The data I work on is updated daily. So a ticket that was still open one day may already have a closing date the next day.&lt;BR /&gt;Then given the average days open result for each week, I need to count the 3 month rolling result (last 12 weeks).&lt;BR /&gt;&lt;BR /&gt;Sample table with data. If the "Close Date" is blanc then the ticket is still open:&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;&lt;TABLE&gt;&lt;TBODY&gt;&lt;TR&gt;&lt;TD&gt;Create Date&lt;/TD&gt;&lt;TD&gt;Ticket Number&lt;/TD&gt;&lt;TD&gt;Close Date&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;07.03.2022&lt;/TD&gt;&lt;TD&gt;80159740&lt;/TD&gt;&lt;TD&gt;30.06.2023&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;19.05.2022&lt;/TD&gt;&lt;TD&gt;80160647&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;29.06.2022&lt;/TD&gt;&lt;TD&gt;80161057&lt;/TD&gt;&lt;TD&gt;04.04.2023&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;28.06.2022&lt;/TD&gt;&lt;TD&gt;80161081&lt;/TD&gt;&lt;TD&gt;23.05.2023&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;04.07.2022&lt;/TD&gt;&lt;TD&gt;80161108&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;25.07.2022&lt;/TD&gt;&lt;TD&gt;80161389&lt;/TD&gt;&lt;TD&gt;23.05.2023&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;09.08.2022&lt;/TD&gt;&lt;TD&gt;80161686&lt;/TD&gt;&lt;TD&gt;04.04.2023&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;19.08.2022&lt;/TD&gt;&lt;TD&gt;80161792&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;25.08.2022&lt;/TD&gt;&lt;TD&gt;80161902&lt;/TD&gt;&lt;TD&gt;19.04.2023&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;12.09.2022&lt;/TD&gt;&lt;TD&gt;80162016&lt;/TD&gt;&lt;TD&gt;25.04.2023&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;13.09.2022&lt;/TD&gt;&lt;TD&gt;80162017&lt;/TD&gt;&lt;TD&gt;24.04.2023&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;13.10.2022&lt;/TD&gt;&lt;TD&gt;80162496&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;13.10.2022&lt;/TD&gt;&lt;TD&gt;80162498&lt;/TD&gt;&lt;TD&gt;03.04.2023&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;14.10.2022&lt;/TD&gt;&lt;TD&gt;80162528&lt;/TD&gt;&lt;TD&gt;18.04.2023&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;01.11.2022&lt;/TD&gt;&lt;TD&gt;80162756&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;11.11.2022&lt;/TD&gt;&lt;TD&gt;80162935&lt;/TD&gt;&lt;TD&gt;12.04.2023&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;11.11.2022&lt;/TD&gt;&lt;TD&gt;80162936&lt;/TD&gt;&lt;TD&gt;12.04.2023&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;22.11.2022&lt;/TD&gt;&lt;TD&gt;80163093&lt;/TD&gt;&lt;TD&gt;23.05.2023&lt;/TD&gt;&lt;/TR&gt;&lt;/TBODY&gt;&lt;/TABLE&gt;&lt;P&gt;&lt;BR /&gt;&lt;BR /&gt;I will be very grateful for your help!&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 10 Jul 2023 09:50:28 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/DAX-Commands-and-Tips/Avg-days-open-for-open-tickets-only-3-mth-rolling/m-p/3322943#M124410</guid>
      <dc:creator>Juzdeppe</dc:creator>
      <dc:date>2023-07-10T09:50:28Z</dc:date>
    </item>
    <item>
      <title>Re: Avg days open for open tickets only_3 mth rolling</title>
      <link>https://community.fabric.microsoft.com/t5/DAX-Commands-and-Tips/Avg-days-open-for-open-tickets-only-3-mth-rolling/m-p/3323036#M124412</link>
      <description>&lt;P&gt;You could create a couple of measures like&lt;/P&gt;
&lt;LI-CODE lang="markup"&gt;Weekly avg open cases =
VAR ReferenceDate =
    MAX ( 'Date'[Date] )
VAR OpenTickets =
    CALCULATETABLE (
        VALUES ( 'Table'[Ticket ID] ),
        'Table'[Create date] &amp;lt;= ReferenceDate,
        ISBLANK ( 'Table'[Close date] )
            || 'Table'[Close date] &amp;gt; ReferenceDate
    )
VAR NumDaysOpen =
    CALCULATE (
        SUMX (
            'Table',
            DATEDIFF (
                'Table'[Create date],
                COALESCE ( 'Table'[Close date], ReferenceDate ),
                DAY
            )
        ),
        OpenTickets
    )
VAR NumOpenTickets =
    COUNTROWS ( OpenTickets )
VAR Result =
    DIVIDE ( NumDaysOpen, NumOpenTickets )
RETURN
    Result


3 month average =
VAR ReferenceDate =
    MAX ( 'Date'[Date] )
VAR DatesToUse =
    CALCULATETABLE (
        VALUES ( 'Date'[Week commencing] ),
        DATESBETWEEN ( 'Date'[Date], ReferenceDate - 84, ReferenceDate )
    )
VAR Result =
    AVERAGEX ( DatesToUse, [Weekly avg open cases] )
RETURN
    Result
&lt;/LI-CODE&gt;</description>
      <pubDate>Mon, 10 Jul 2023 10:59:54 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/DAX-Commands-and-Tips/Avg-days-open-for-open-tickets-only-3-mth-rolling/m-p/3323036#M124412</guid>
      <dc:creator>johnt75</dc:creator>
      <dc:date>2023-07-10T10:59:54Z</dc:date>
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