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	<title>Comments on: Cool SQL Analytic Function: NTILE</title>
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	<pubDate>Fri, 21 Nov 2008 06:14:34 +0000</pubDate>
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		<title>By: Eddie Awad</title>
		<link>http://awads.net/wp/2006/02/23/cool-sql-analytic-function-ntile/#comment-1877</link>
		<dc:creator>Eddie Awad</dc:creator>
		<pubDate>Sat, 25 Feb 2006 04:37:51 +0000</pubDate>
		<guid isPermaLink="false">http://awads.net/wp/?p=223#comment-1877</guid>
		<description>&lt;p&gt;Thanks Jeff for sharing. Basically you use NTILE to exclude certain "buckets" that, by your definition, have "silly values". Neat!&lt;/p&gt;
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		<content:encoded><![CDATA[<p>Thanks Jeff for sharing. Basically you use NTILE to exclude certain &#8220;buckets&#8221; that, by your definition, have &#8220;silly values&#8221;. Neat!</p>
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		<title>By: Jeff Moss</title>
		<link>http://awads.net/wp/2006/02/23/cool-sql-analytic-function-ntile/#comment-1869</link>
		<dc:creator>Jeff Moss</dc:creator>
		<pubDate>Fri, 24 Feb 2006 08:27:14 +0000</pubDate>
		<guid isPermaLink="false">http://awads.net/wp/?p=223#comment-1869</guid>
		<description>&lt;p&gt;Been using it for quite some time to work out OUTLIERs for stats analysis of data - things outside the norm need to be discounted so we NTILE over 200 and drop the 1/200 buckets so we rule out the 0.5% on either end of the distribution. Gets rid of all the silly values basically and means the stats analysis is much more solid.&lt;/p&gt;
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		<content:encoded><![CDATA[<p>Been using it for quite some time to work out OUTLIERs for stats analysis of data - things outside the norm need to be discounted so we NTILE over 200 and drop the 1/200 buckets so we rule out the 0.5% on either end of the distribution. Gets rid of all the silly values basically and means the stats analysis is much more solid.</p>
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