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	<title>Comments on: The Chart that Wasn&#8217;t There: Avoiding Disappearing Plots in Presentations</title>
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	<link>http://blog.visual.ly/the-chart-that-wasnt-there-avoiding-disappearing-plots-in-presentations/</link>
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		<title>By: Ideas for Improving Your Scientific Visualizations : Exploring the Data Universe</title>
		<link>http://blog.visual.ly/the-chart-that-wasnt-there-avoiding-disappearing-plots-in-presentations/#comment-970</link>
		<dc:creator>Ideas for Improving Your Scientific Visualizations : Exploring the Data Universe</dc:creator>
		<pubDate>Sat, 05 Jan 2013 18:53:50 +0000</pubDate>
		<guid isPermaLink="false">http://blog.visual.ly/?p=8557#comment-970</guid>
		<description>[...] Learn a new feature of your graphics package.  Most of us only use a fraction of the capabilities of our graphics programs.  There&#8217;s much to be gained from digging around in the documentation.  Users of python&#8217;s matplotlib might want to play around with the AxesGrid toolkit, learn about animation or widget capabilities, or look through these recipes.  IDL users could define more sensible plotting defaults. [...]</description>
		<content:encoded><![CDATA[<p>[...] Learn a new feature of your graphics package.  Most of us only use a fraction of the capabilities of our graphics programs.  There&#8217;s much to be gained from digging around in the documentation.  Users of python&#8217;s matplotlib might want to play around with the AxesGrid toolkit, learn about animation or widget capabilities, or look through these recipes.  IDL users could define more sensible plotting defaults. [...]</p>
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