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	<title>Comments on: Data Visualization is Only Part of the Answer to Big Data</title>
	<atom:link href="http://flowingdata.com/2009/03/20/data-visualization-is-only-part-of-the-answer-to-big-data/feed/" rel="self" type="application/rss+xml" />
	<link>http://flowingdata.com/2009/03/20/data-visualization-is-only-part-of-the-answer-to-big-data/</link>
	<description>Strength in Numbers</description>
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		<title>By: Das Wissen wird schÃ¶n - Visualisierungen, Data, Informationsflut, Namen, Visualisierung, Facebook, Diese, Aussage, Monate, Diggs, Design, Nutzern, Zeit, Zeichen, Zugang, Datenflut, Swarm, WÃ¤hrend, SchnellschuÃŸ, Schwarmprinzip, Letztendlich, Linie</title>
		<link>http://flowingdata.com/2009/03/20/data-visualization-is-only-part-of-the-answer-to-big-data/#comment-26486</link>
		<dc:creator>Das Wissen wird schÃ¶n - Visualisierungen, Data, Informationsflut, Namen, Visualisierung, Facebook, Diese, Aussage, Monate, Diggs, Design, Nutzern, Zeit, Zeichen, Zugang, Datenflut, Swarm, WÃ¤hrend, SchnellschuÃŸ, Schwarmprinzip, Letztendlich, Linie</dc:creator>
		<pubDate>Wed, 01 Apr 2009 19:48:38 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=1456#comment-26486</guid>
		<description>[...] &#8220;Data Visualization is Only Part of the Answer to Big Data&#8221; sagt Nathan Yau auf flowingdata. [...]</description>
		<content:encoded><![CDATA[<p>[...] &#8220;Data Visualization is Only Part of the Answer to Big Data&#8221; sagt Nathan Yau auf flowingdata. [...]</p>
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		<title>By: Nathan</title>
		<link>http://flowingdata.com/2009/03/20/data-visualization-is-only-part-of-the-answer-to-big-data/#comment-25999</link>
		<dc:creator>Nathan</dc:creator>
		<pubDate>Thu, 26 Mar 2009 17:57:12 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=1456#comment-25999</guid>
		<description>@Paolo - that&#039;s definitely something i&#039;d like to hear more about as that relationship develops</description>
		<content:encoded><![CDATA[<p>@Paolo &#8211; that&#8217;s definitely something i&#8217;d like to hear more about as that relationship develops</p>
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		<title>By: Design + Statistics &#124; DensityDesign &#124; Communication Design &#38; Complexity</title>
		<link>http://flowingdata.com/2009/03/20/data-visualization-is-only-part-of-the-answer-to-big-data/#comment-25962</link>
		<dc:creator>Design + Statistics &#124; DensityDesign &#124; Communication Design &#38; Complexity</dc:creator>
		<pubDate>Thu, 26 Mar 2009 08:54:30 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=1456#comment-25962</guid>
		<description>[...] I couldn&#8217;t agree more with one of the last post of Nathan in FlowingData: [...]</description>
		<content:encoded><![CDATA[<p>[...] I couldn&#8217;t agree more with one of the last post of Nathan in FlowingData: [...]</p>
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		<title>By: Paolo Ciuccarelli</title>
		<link>http://flowingdata.com/2009/03/20/data-visualization-is-only-part-of-the-answer-to-big-data/#comment-25961</link>
		<dc:creator>Paolo Ciuccarelli</dc:creator>
		<pubDate>Thu, 26 Mar 2009 08:38:39 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=1456#comment-25961</guid>
		<description>I couldn&#039;t agree more. We (a design research group) recently made a partnership with a department of statistics, in order to be able to work both on analysis and visualization, integrating as much as possible these domains. I can say that the relationship works very well, and there are more common elements then one could expect.</description>
		<content:encoded><![CDATA[<p>I couldn&#8217;t agree more. We (a design research group) recently made a partnership with a department of statistics, in order to be able to work both on analysis and visualization, integrating as much as possible these domains. I can say that the relationship works very well, and there are more common elements then one could expect.</p>
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		<title>By: jan.</title>
		<link>http://flowingdata.com/2009/03/20/data-visualization-is-only-part-of-the-answer-to-big-data/#comment-25721</link>
		<dc:creator>jan.</dc:creator>
		<pubDate>Mon, 23 Mar 2009 19:42:50 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=1456#comment-25721</guid>
		<description>I have come to the exact same conclusion: use raw data visualization to define hypotheses before doing the statistical analysis, which leads to new visualizations again, and so on. http://saaientist.blogspot.com/2008/11/visualize-or-summarize.html</description>
		<content:encoded><![CDATA[<p>I have come to the exact same conclusion: use raw data visualization to define hypotheses before doing the statistical analysis, which leads to new visualizations again, and so on. <a href="http://saaientist.blogspot.com/2008/11/visualize-or-summarize.html" rel="nofollow">http://saaientist.blogspot.com.....arize.html</a></p>
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		<title>By: Darya</title>
		<link>http://flowingdata.com/2009/03/20/data-visualization-is-only-part-of-the-answer-to-big-data/#comment-25618</link>
		<dc:creator>Darya</dc:creator>
		<pubDate>Sat, 21 Mar 2009 15:10:04 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=1456#comment-25618</guid>
		<description>I suggest you have a look at HCE (http://www.cs.umd.edu/hcil/hce/) - it is a nice tool that try to fill this gap between statistics and visualizations</description>
		<content:encoded><![CDATA[<p>I suggest you have a look at HCE (<a href="http://www.cs.umd.edu/hcil/hce/" rel="nofollow">http://www.cs.umd.edu/hcil/hce/</a>) &#8211; it is a nice tool that try to fill this gap between statistics and visualizations</p>
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		<title>By: himan powered</title>
		<link>http://flowingdata.com/2009/03/20/data-visualization-is-only-part-of-the-answer-to-big-data/#comment-25600</link>
		<dc:creator>himan powered</dc:creator>
		<pubDate>Fri, 20 Mar 2009 19:32:37 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=1456#comment-25600</guid>
		<description>Great intro into the subject. I would suspect the human factors field will have started looking into this. Certainly as we continue to need to make sense of huge data sets there will be real research into what visualizations do the best job of increasing usability versus what is pretty design. I wish I had the time to do this muself.</description>
		<content:encoded><![CDATA[<p>Great intro into the subject. I would suspect the human factors field will have started looking into this. Certainly as we continue to need to make sense of huge data sets there will be real research into what visualizations do the best job of increasing usability versus what is pretty design. I wish I had the time to do this muself.</p>
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		<title>By: simianmenace</title>
		<link>http://flowingdata.com/2009/03/20/data-visualization-is-only-part-of-the-answer-to-big-data/#comment-25586</link>
		<dc:creator>simianmenace</dc:creator>
		<pubDate>Fri, 20 Mar 2009 11:18:53 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=1456#comment-25586</guid>
		<description>Visualisations that work best for me are those where the presentation layer elucidates relationships within the data, easy on the eye yet still a lens. Large datasets are often samples of even more massive populations with sampling error still present.</description>
		<content:encoded><![CDATA[<p>Visualisations that work best for me are those where the presentation layer elucidates relationships within the data, easy on the eye yet still a lens. Large datasets are often samples of even more massive populations with sampling error still present.</p>
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		<title>By: Visio Guy</title>
		<link>http://flowingdata.com/2009/03/20/data-visualization-is-only-part-of-the-answer-to-big-data/#comment-25585</link>
		<dc:creator>Visio Guy</dc:creator>
		<pubDate>Fri, 20 Mar 2009 10:42:09 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=1456#comment-25585</guid>
		<description>While charts and other data visualizations are probably sometimes intentionally manipulated, I think a lot of the time the errors are simply mistakes or oversights. Like you said, the designers and the statisticians like their jobs, but not each others.

One site that I&#039;ve found quite interesting has fun with the errors in informational graphics. Perhaps Flowing Data readers will find it interesting too.

Check out Junk Charts at http://junkcharts.typepad.com/</description>
		<content:encoded><![CDATA[<p>While charts and other data visualizations are probably sometimes intentionally manipulated, I think a lot of the time the errors are simply mistakes or oversights. Like you said, the designers and the statisticians like their jobs, but not each others.</p>
<p>One site that I&#8217;ve found quite interesting has fun with the errors in informational graphics. Perhaps Flowing Data readers will find it interesting too.</p>
<p>Check out Junk Charts at <a href="http://junkcharts.typepad.com/" rel="nofollow">http://junkcharts.typepad.com/</a></p>
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