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    <title>topic Each weekday's visitors broken down by hours in Getting Data In</title>
    <link>https://community.splunk.com/t5/Getting-Data-In/Each-weekday-s-visitors-broken-down-by-hours/m-p/146112#M29756</link>
    <description>&lt;P&gt;I can get Splunk to show me that my weekday day of fewest visitors is Saturday for the last three months. &lt;/P&gt;

&lt;P&gt;sourcetype=iis&lt;BR /&gt;
| timechart span=1h dc(c_ip) as unique_ips&lt;BR /&gt;
| eval hour_24 = strftime(_time, "%H")&lt;BR /&gt;
| stats avg(unique_ips) by hour_24&lt;/P&gt;

&lt;P&gt;I can also have Splunk show me that my hour of fewest visitors is 9p for the last three months.&lt;/P&gt;

&lt;P&gt;sourcetype=iis&lt;BR /&gt;
| timechart span=1d dc(c_ip) as unique_ips&lt;BR /&gt;
| eval weekday = strftime(_time, "%w")&lt;BR /&gt;
| stats avg(unique_ips) by weekday&lt;/P&gt;

&lt;P&gt;What I would like to see is what the hour of fewest visitors is on all weekdays for the last three months. Is such a chart possible in Splunk? Ideally this would display in a timechart/linegraph format.&lt;/P&gt;

&lt;P&gt;Any help would be appreciated in constructing the search strings. &lt;/P&gt;</description>
    <pubDate>Mon, 28 Sep 2020 16:29:37 GMT</pubDate>
    <dc:creator>jason_hunsberge</dc:creator>
    <dc:date>2020-09-28T16:29:37Z</dc:date>
    <item>
      <title>Each weekday's visitors broken down by hours</title>
      <link>https://community.splunk.com/t5/Getting-Data-In/Each-weekday-s-visitors-broken-down-by-hours/m-p/146112#M29756</link>
      <description>&lt;P&gt;I can get Splunk to show me that my weekday day of fewest visitors is Saturday for the last three months. &lt;/P&gt;

&lt;P&gt;sourcetype=iis&lt;BR /&gt;
| timechart span=1h dc(c_ip) as unique_ips&lt;BR /&gt;
| eval hour_24 = strftime(_time, "%H")&lt;BR /&gt;
| stats avg(unique_ips) by hour_24&lt;/P&gt;

&lt;P&gt;I can also have Splunk show me that my hour of fewest visitors is 9p for the last three months.&lt;/P&gt;

&lt;P&gt;sourcetype=iis&lt;BR /&gt;
| timechart span=1d dc(c_ip) as unique_ips&lt;BR /&gt;
| eval weekday = strftime(_time, "%w")&lt;BR /&gt;
| stats avg(unique_ips) by weekday&lt;/P&gt;

&lt;P&gt;What I would like to see is what the hour of fewest visitors is on all weekdays for the last three months. Is such a chart possible in Splunk? Ideally this would display in a timechart/linegraph format.&lt;/P&gt;

&lt;P&gt;Any help would be appreciated in constructing the search strings. &lt;/P&gt;</description>
      <pubDate>Mon, 28 Sep 2020 16:29:37 GMT</pubDate>
      <guid>https://community.splunk.com/t5/Getting-Data-In/Each-weekday-s-visitors-broken-down-by-hours/m-p/146112#M29756</guid>
      <dc:creator>jason_hunsberge</dc:creator>
      <dc:date>2020-09-28T16:29:37Z</dc:date>
    </item>
    <item>
      <title>Re: Each weekday's visitors broken down by hours</title>
      <link>https://community.splunk.com/t5/Getting-Data-In/Each-weekday-s-visitors-broken-down-by-hours/m-p/146113#M29757</link>
      <description>&lt;P&gt;You can combine the two:&lt;/P&gt;

&lt;PRE&gt;&lt;CODE&gt;... | timechart span=1h ... | eval hour_24 ... | eval weekday ... | stats avg(unique_ips) by weekday hour_24
&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Tue, 29 Apr 2014 16:34:12 GMT</pubDate>
      <guid>https://community.splunk.com/t5/Getting-Data-In/Each-weekday-s-visitors-broken-down-by-hours/m-p/146113#M29757</guid>
      <dc:creator>martin_mueller</dc:creator>
      <dc:date>2014-04-29T16:34:12Z</dc:date>
    </item>
    <item>
      <title>Re: Each weekday's visitors broken down by hours</title>
      <link>https://community.splunk.com/t5/Getting-Data-In/Each-weekday-s-visitors-broken-down-by-hours/m-p/146114#M29758</link>
      <description>&lt;P&gt;perfect. thanks!&lt;/P&gt;</description>
      <pubDate>Tue, 29 Apr 2014 17:45:13 GMT</pubDate>
      <guid>https://community.splunk.com/t5/Getting-Data-In/Each-weekday-s-visitors-broken-down-by-hours/m-p/146114#M29758</guid>
      <dc:creator>jason_hunsberge</dc:creator>
      <dc:date>2014-04-29T17:45:13Z</dc:date>
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