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	<title>Comments on: What is happening when data takes on a logarithmic model?</title>
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	<link>http://dataecenter.net/data-model/what-is-happening-when-data-takes-on-a-logarithmic-model/</link>
	<description>Let's talk all about data. Recovery, Models and Centers</description>
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		<title>By: bob</title>
		<link>http://dataecenter.net/data-model/what-is-happening-when-data-takes-on-a-logarithmic-model/comment-page-1/#comment-172</link>
		<dc:creator>bob</dc:creator>
		<pubDate>Sat, 06 Dec 2008 02:25:24 +0000</pubDate>
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		<description>log scale, as the name indicates, is just a scaling factor. It makes the very big data easely represented. ex: pH=-log([H+]). If you want to represent [H+] you need to use huge numbers. On the other hand, pH could be conveniently represented by numbers ranging between (usualy) 0 and 14.</description>
		<content:encoded><![CDATA[<p>log scale, as the name indicates, is just a scaling factor. It makes the very big data easely represented. ex: pH=-log([H+]). If you want to represent [H+] you need to use huge numbers. On the other hand, pH could be conveniently represented by numbers ranging between (usualy) 0 and 14.</p>
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		<title>By: fcas80</title>
		<link>http://dataecenter.net/data-model/what-is-happening-when-data-takes-on-a-logarithmic-model/comment-page-1/#comment-171</link>
		<dc:creator>fcas80</dc:creator>
		<pubDate>Wed, 03 Dec 2008 13:39:24 +0000</pubDate>
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		<description>Data is increasing lots faster than linearly.

For example, earthquakes are measured logarithmically.  An earthquake with a rating of 5 is 10 times more severe than one with a rating of 4, and 10^2 = 100 times more severe than one with a rating of 3.</description>
		<content:encoded><![CDATA[<p>Data is increasing lots faster than linearly.</p>
<p>For example, earthquakes are measured logarithmically.  An earthquake with a rating of 5 is 10 times more severe than one with a rating of 4, and 10^2 = 100 times more severe than one with a rating of 3.</p>
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