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    <title>topic Re: Multi-Axis timechart in Splunk Search</title>
    <link>https://community.splunk.com/t5/Splunk-Search/Multi-Axis-timechart/m-p/90902#M23391</link>
    <description>&lt;P&gt;&lt;CODE&gt;index=logins | bin _time span=10m | stats count(eval(Login_Result="FAILED")) AS failed, count(eval(Login_Result)) AS total_logins by _time | eval failure_rate=round(((failed/total_logins)*100),2)&lt;/CODE&gt;&lt;/P&gt;

&lt;P&gt;This should give you some time-based data to graph with. A Column Chart might work. &lt;/P&gt;</description>
    <pubDate>Thu, 10 Oct 2013 11:28:35 GMT</pubDate>
    <dc:creator>alacercogitatus</dc:creator>
    <dc:date>2013-10-10T11:28:35Z</dc:date>
    <item>
      <title>Multi-Axis timechart</title>
      <link>https://community.splunk.com/t5/Splunk-Search/Multi-Axis-timechart/m-p/90901#M23390</link>
      <description>&lt;P&gt;I am wanting to timechart total logins, login failures, and failure rate on a mult-axis graph.  So time across the bottom, with total logins/login failures stacked and shown on 1 y-axis, and the failure rate percentage on the other y-axis.  I can calculate the 3 values with the following search ... just not sure how to do the timechart with multi-axis for the logins and percentage series.&lt;/P&gt;

&lt;P&gt;index=logins | stats count(eval(Login_Result="FAILED")) AS failed, count(eval(Login_Result)) AS total_logins | eval failure_rate=((failed/total_logins)*100) | eval failure_rate=round(failure_rate,2)&lt;/P&gt;</description>
      <pubDate>Mon, 28 Sep 2020 14:56:09 GMT</pubDate>
      <guid>https://community.splunk.com/t5/Splunk-Search/Multi-Axis-timechart/m-p/90901#M23390</guid>
      <dc:creator>schlapfer</dc:creator>
      <dc:date>2020-09-28T14:56:09Z</dc:date>
    </item>
    <item>
      <title>Re: Multi-Axis timechart</title>
      <link>https://community.splunk.com/t5/Splunk-Search/Multi-Axis-timechart/m-p/90902#M23391</link>
      <description>&lt;P&gt;&lt;CODE&gt;index=logins | bin _time span=10m | stats count(eval(Login_Result="FAILED")) AS failed, count(eval(Login_Result)) AS total_logins by _time | eval failure_rate=round(((failed/total_logins)*100),2)&lt;/CODE&gt;&lt;/P&gt;

&lt;P&gt;This should give you some time-based data to graph with. A Column Chart might work. &lt;/P&gt;</description>
      <pubDate>Thu, 10 Oct 2013 11:28:35 GMT</pubDate>
      <guid>https://community.splunk.com/t5/Splunk-Search/Multi-Axis-timechart/m-p/90902#M23391</guid>
      <dc:creator>alacercogitatus</dc:creator>
      <dc:date>2013-10-10T11:28:35Z</dc:date>
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