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    <title>topic Re: Choropleth Sequential Normalisation in Dashboards &amp; Visualizations</title>
    <link>https://community.splunk.com/t5/Dashboards-Visualizations/Choropleth-Sequential-Normalisation/m-p/251159#M45175</link>
    <description>&lt;P&gt;Thanks! Works perfectly &lt;span class="lia-unicode-emoji" title=":slightly_smiling_face:"&gt;🙂&lt;/span&gt;&lt;/P&gt;</description>
    <pubDate>Fri, 26 Aug 2016 14:23:25 GMT</pubDate>
    <dc:creator>WalshyB</dc:creator>
    <dc:date>2016-08-26T14:23:25Z</dc:date>
    <item>
      <title>Choropleth Sequential Normalisation</title>
      <link>https://community.splunk.com/t5/Dashboards-Visualizations/Choropleth-Sequential-Normalisation/m-p/251157#M45173</link>
      <description>&lt;P&gt;Hey Guys,&lt;/P&gt;

&lt;P&gt;I have a choropleth map which returns the amount of hits on security data from ip's attacking from different countries &lt;/P&gt;

&lt;P&gt;search : index=...     | iplocation SRC_IP | stats count by Country | eval count=count | eval Country=if(Country="","&lt;EM&gt;unknown&lt;/EM&gt;",Country) | geom geo_countries featureIdField="Country" | sort + count&lt;/P&gt;

&lt;P&gt;The problem is, when searched over a long period of time, the country for the highest has a high count so everything else which has a lot less is put into the lowest bin &lt;/P&gt;

&lt;P&gt;e.g. china has 6 million hits so it is in the top bin, whereas everything else has 1m, 500k etc so it is put into the lowest bin.&lt;/P&gt;

&lt;P&gt;Is there a way to normalise this so that more colours are shown?&lt;/P&gt;</description>
      <pubDate>Tue, 29 Sep 2020 10:45:44 GMT</pubDate>
      <guid>https://community.splunk.com/t5/Dashboards-Visualizations/Choropleth-Sequential-Normalisation/m-p/251157#M45173</guid>
      <dc:creator>WalshyB</dc:creator>
      <dc:date>2020-09-29T10:45:44Z</dc:date>
    </item>
    <item>
      <title>Re: Choropleth Sequential Normalisation</title>
      <link>https://community.splunk.com/t5/Dashboards-Visualizations/Choropleth-Sequential-Normalisation/m-p/251158#M45174</link>
      <description>&lt;P&gt;Try to &lt;/P&gt;

&lt;PRE&gt;&lt;CODE&gt;| eval normalizedCount = ln(count)
&lt;/CODE&gt;&lt;/PRE&gt;

&lt;P&gt;or something like that, if you can't log scale the map from settings.&lt;BR /&gt;
or just cut down the China values until you get more colorful maps, I guess.&lt;/P&gt;</description>
      <pubDate>Fri, 26 Aug 2016 13:41:47 GMT</pubDate>
      <guid>https://community.splunk.com/t5/Dashboards-Visualizations/Choropleth-Sequential-Normalisation/m-p/251158#M45174</guid>
      <dc:creator>mhpark</dc:creator>
      <dc:date>2016-08-26T13:41:47Z</dc:date>
    </item>
    <item>
      <title>Re: Choropleth Sequential Normalisation</title>
      <link>https://community.splunk.com/t5/Dashboards-Visualizations/Choropleth-Sequential-Normalisation/m-p/251159#M45175</link>
      <description>&lt;P&gt;Thanks! Works perfectly &lt;span class="lia-unicode-emoji" title=":slightly_smiling_face:"&gt;🙂&lt;/span&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 26 Aug 2016 14:23:25 GMT</pubDate>
      <guid>https://community.splunk.com/t5/Dashboards-Visualizations/Choropleth-Sequential-Normalisation/m-p/251159#M45175</guid>
      <dc:creator>WalshyB</dc:creator>
      <dc:date>2016-08-26T14:23:25Z</dc:date>
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