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	<title>nandeshwar.info &#187; Books</title>
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		<title>Data-Information Visualization</title>
		<link>http://nandeshwar.info/2009/05/21/data-information-visualization/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=data-information-visualization</link>
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		<pubDate>Thu, 21 May 2009 12:34:56 +0000</pubDate>
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				<category><![CDATA[Books]]></category>
		<category><![CDATA[charts]]></category>
		<category><![CDATA[dashboard]]></category>
		<category><![CDATA[design]]></category>
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		<guid isPermaLink="false">http://nandeshwar.info/?p=232</guid>
		<description><![CDATA[Ever since I read the book The Visual Display of Quantitative Information, by Edward R. Tufte, I am captivated by the idea of creating good design while doing data analysis or dashboard building. Although Excel 2007 charts are much nicer than its previous births, I have started disliking Excel charts. I am even developing an [...]]]></description>
			<content:encoded><![CDATA[<p>Ever since I read the book The Visual Display of Quantitative Information, by Edward R. Tufte, I am captivated by the idea of creating good design while doing data analysis or dashboard building. Although Excel 2007 charts are much nicer than its previous births, I have started disliking Excel charts. I am even developing an eye for picking out the bad information pixels. Apart from Tufte&#8217;s books, these books have helped me immensely:</p>
<ul>
<li>The Elements of Graphing Data, by William S. Cleveland</li>
<li>Information Dashboard Design, by Stephen Few</li>
</ul>
<p>Administrators/executives neither have the time nor the patience to understand complicated data mining algorithms and its results, and when they don&#8217;t understand them most probably they will never go in &#8220;production.&#8221; Simple, yet informative, designs and charts have better chances of going in production, which I am sure every data miner longs for.</p>
<p>I found a course web-site on Information Visualization: <a href="http://www.stat.auckland.ac.nz/~ihaka/120/lectures.html">http://www.stat.auckland.ac.nz/~ihaka/120/lectures.html</a></p>
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