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    <title>topic Re: Trend data over Backlog in Dashboards &amp; Visualizations</title>
    <link>https://community.splunk.com/t5/Dashboards-Visualizations/Trend-data-over-Backlog/m-p/527516#M35802</link>
    <description>&lt;P&gt;The data is as below :&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Shristi2906_0-1604320026057.png" style="width: 781px;"&gt;&lt;img src="https://community.splunk.com/t5/image/serverpage/image-id/11612iC2F11DE1867736BD/image-dimensions/781x235?v=v2" width="781" height="235" role="button" title="Shristi2906_0-1604320026057.png" alt="Shristi2906_0-1604320026057.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Mon, 02 Nov 2020 12:27:32 GMT</pubDate>
    <dc:creator>Shristi2906</dc:creator>
    <dc:date>2020-11-02T12:27:32Z</dc:date>
    <item>
      <title>Trend data over Backlog</title>
      <link>https://community.splunk.com/t5/Dashboards-Visualizations/Trend-data-over-Backlog/m-p/527451#M35798</link>
      <description>&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="MicrosoftTeams-image.png" style="width: 999px;"&gt;&lt;img src="https://community.splunk.com/t5/image/serverpage/image-id/11606i66855029EE8B7D25/image-size/large?v=v2&amp;amp;px=999" role="button" title="MicrosoftTeams-image.png" alt="MicrosoftTeams-image.png" /&gt;&lt;/span&gt;&lt;BR /&gt;&lt;BR /&gt;I want to get the ticket count for the aging of backlog tickets on a weekly basis. The aging of the ticket depends on the date the ticket was opened. The count should be calculated every Sunday, and the tickets should be divided depending upon the ranges mentioned, i.e. 0-5 days,6-15 and so on.&lt;/P&gt;</description>
      <pubDate>Sun, 01 Nov 2020 17:06:39 GMT</pubDate>
      <guid>https://community.splunk.com/t5/Dashboards-Visualizations/Trend-data-over-Backlog/m-p/527451#M35798</guid>
      <dc:creator>Shristi2906</dc:creator>
      <dc:date>2020-11-01T17:06:39Z</dc:date>
    </item>
    <item>
      <title>Re: Trend data over Backlog</title>
      <link>https://community.splunk.com/t5/Dashboards-Visualizations/Trend-data-over-Backlog/m-p/527452#M35799</link>
      <description>&lt;P&gt;What data do you have to work with?&lt;/P&gt;</description>
      <pubDate>Sun, 01 Nov 2020 17:59:32 GMT</pubDate>
      <guid>https://community.splunk.com/t5/Dashboards-Visualizations/Trend-data-over-Backlog/m-p/527452#M35799</guid>
      <dc:creator>ITWhisperer</dc:creator>
      <dc:date>2020-11-01T17:59:32Z</dc:date>
    </item>
    <item>
      <title>Re: Trend data over Backlog</title>
      <link>https://community.splunk.com/t5/Dashboards-Visualizations/Trend-data-over-Backlog/m-p/527516#M35802</link>
      <description>&lt;P&gt;The data is as below :&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Shristi2906_0-1604320026057.png" style="width: 781px;"&gt;&lt;img src="https://community.splunk.com/t5/image/serverpage/image-id/11612iC2F11DE1867736BD/image-dimensions/781x235?v=v2" width="781" height="235" role="button" title="Shristi2906_0-1604320026057.png" alt="Shristi2906_0-1604320026057.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 02 Nov 2020 12:27:32 GMT</pubDate>
      <guid>https://community.splunk.com/t5/Dashboards-Visualizations/Trend-data-over-Backlog/m-p/527516#M35802</guid>
      <dc:creator>Shristi2906</dc:creator>
      <dc:date>2020-11-02T12:27:32Z</dc:date>
    </item>
    <item>
      <title>Re: Trend data over Backlog</title>
      <link>https://community.splunk.com/t5/Dashboards-Visualizations/Trend-data-over-Backlog/m-p/527519#M35803</link>
      <description>&lt;LI-CODE lang="markup"&gt;| eval daysunresolved=if(isnull(resolved_at),round((now()-strptime(reported_date_time,"%Y-%m-%d %H:%M:%S"))/(60*60*24),0),null)
| eval agebracket=case(daysunresolved&amp;lt;6,"0-5 Days",daysunresolved&amp;lt;16,"6-15 Days",daysunresolved&amp;gt;15,"&amp;gt;15 Days",true,null)
| stats count by agebracket&lt;/LI-CODE&gt;&lt;P&gt;Schedule this to run every Sunday and save the results to a summary index, making sure the time the query executed is saved.&lt;/P&gt;&lt;P&gt;You can then create a chart based on the summary index, using the time the query executed as your x-axis.&lt;/P&gt;</description>
      <pubDate>Mon, 02 Nov 2020 12:50:16 GMT</pubDate>
      <guid>https://community.splunk.com/t5/Dashboards-Visualizations/Trend-data-over-Backlog/m-p/527519#M35803</guid>
      <dc:creator>ITWhisperer</dc:creator>
      <dc:date>2020-11-02T12:50:16Z</dc:date>
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