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	<title>Comments on: Open Thread: I Don&#8217;t Care About the Data&#8230;</title>
	<atom:link href="http://flowingdata.com/2008/11/14/open-thread-i-dont-care-about-the-data/feed/" rel="self" type="application/rss+xml" />
	<link>http://flowingdata.com/2008/11/14/open-thread-i-dont-care-about-the-data/</link>
	<description>Strength in Numbers</description>
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		<title>By: illulnedego</title>
		<link>http://flowingdata.com/2008/11/14/open-thread-i-dont-care-about-the-data/#comment-22934</link>
		<dc:creator>illulnedego</dc:creator>
		<pubDate>Thu, 22 Jan 2009 00:41:19 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=1113#comment-22934</guid>
		<description>Nothing seems to be easier than seeing someone whom you can help but not helping.
I suggest we start giving it a try. Give love to the ones that need it.
God will appreciate it.</description>
		<content:encoded><![CDATA[<p>Nothing seems to be easier than seeing someone whom you can help but not helping.<br />
I suggest we start giving it a try. Give love to the ones that need it.<br />
God will appreciate it.</p>
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		<title>By: Jon Peltier</title>
		<link>http://flowingdata.com/2008/11/14/open-thread-i-dont-care-about-the-data/#comment-21478</link>
		<dc:creator>Jon Peltier</dc:creator>
		<pubDate>Thu, 04 Dec 2008 11:54:59 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=1113#comment-21478</guid>
		<description>miked98 - I don&#039;t really agree with your first two lines, but the third strikes a chord. So much of what passes for visualization fits into the category of Art with Colored Arcs.</description>
		<content:encoded><![CDATA[<p>miked98 &#8211; I don&#8217;t really agree with your first two lines, but the third strikes a chord. So much of what passes for visualization fits into the category of Art with Colored Arcs.</p>
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		<title>By: miked98</title>
		<link>http://flowingdata.com/2008/11/14/open-thread-i-dont-care-about-the-data/#comment-21452</link>
		<dc:creator>miked98</dc:creator>
		<pubDate>Thu, 04 Dec 2008 07:16:02 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=1113#comment-21452</guid>
		<description>Sound without language = music.
Architecture without people = sculpture.

Visualization without data = art.</description>
		<content:encoded><![CDATA[<p>Sound without language = music.<br />
Architecture without people = sculpture.</p>
<p>Visualization without data = art.</p>
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		<title>By: Michael Joner</title>
		<link>http://flowingdata.com/2008/11/14/open-thread-i-dont-care-about-the-data/#comment-19366</link>
		<dc:creator>Michael Joner</dc:creator>
		<pubDate>Tue, 18 Nov 2008 14:53:48 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=1113#comment-19366</guid>
		<description>It&#039;s not a chicken-and-egg question.  Rather, I think the correct answer depends on what you are trying to do.  Surely some visuals will very quickly help address the question &quot;do I have good data?&quot;  But perhaps an entirely different visualization technique is better once you get to the point where you want to tell the data&#039;s story in layman&#039;s terms.

Since the eventual goal is probably to present a useful and relevant visual to a target audience, I think that an iterative process should be followed.  After receiving the data, just start making graphs.  Start with the simple stuff: histograms, scatterplots, etc.  At this point you shouldn&#039;t be very concerned about data-ink ratios or exactly which graph to use.  You are doing this to become more familiar with the data.  You may even decide that it is appropriate to clean up the data or employ some sort of transform.  If you do, you should leave a trail for yourself or your colleagues just in case you need to explain yourself later.  Eventually you&#039;ll get to the point where you&#039;re ready to make THE graph.  Try one.  Decide whether that graph tells the real story.  Get some opinions from your colleagues, just like Nathan does here on occasion.  With practice you&#039;ll come up with the right graph for the data and for your target audience.</description>
		<content:encoded><![CDATA[<p>It&#8217;s not a chicken-and-egg question.  Rather, I think the correct answer depends on what you are trying to do.  Surely some visuals will very quickly help address the question &#8220;do I have good data?&#8221;  But perhaps an entirely different visualization technique is better once you get to the point where you want to tell the data&#8217;s story in layman&#8217;s terms.</p>
<p>Since the eventual goal is probably to present a useful and relevant visual to a target audience, I think that an iterative process should be followed.  After receiving the data, just start making graphs.  Start with the simple stuff: histograms, scatterplots, etc.  At this point you shouldn&#8217;t be very concerned about data-ink ratios or exactly which graph to use.  You are doing this to become more familiar with the data.  You may even decide that it is appropriate to clean up the data or employ some sort of transform.  If you do, you should leave a trail for yourself or your colleagues just in case you need to explain yourself later.  Eventually you&#8217;ll get to the point where you&#8217;re ready to make THE graph.  Try one.  Decide whether that graph tells the real story.  Get some opinions from your colleagues, just like Nathan does here on occasion.  With practice you&#8217;ll come up with the right graph for the data and for your target audience.</p>
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		<title>By: William Couch</title>
		<link>http://flowingdata.com/2008/11/14/open-thread-i-dont-care-about-the-data/#comment-19291</link>
		<dc:creator>William Couch</dc:creator>
		<pubDate>Tue, 18 Nov 2008 06:24:41 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=1113#comment-19291</guid>
		<description>I should&#039;ve expanded a little more on why I just said, &quot;No,&quot; but Twitter makes that difficult...

Design should be considered content the same way data should be considered a part of the visualization. You can design something to look beautiful, but that design will stand as something far greater if the content is meaningful too -- same goes for data and visualizations. You can create an incredible visualization, but I&#039;d argue that it&#039;s only as meaningful or as engaging as the data behind it.

That doesn&#039;t mean you can&#039;t design without content or create visualizations without data, but those that have meaningful content/data behind them become that much more rich.</description>
		<content:encoded><![CDATA[<p>I should&#8217;ve expanded a little more on why I just said, &#8220;No,&#8221; but Twitter makes that difficult&#8230;</p>
<p>Design should be considered content the same way data should be considered a part of the visualization. You can design something to look beautiful, but that design will stand as something far greater if the content is meaningful too &#8212; same goes for data and visualizations. You can create an incredible visualization, but I&#8217;d argue that it&#8217;s only as meaningful or as engaging as the data behind it.</p>
<p>That doesn&#8217;t mean you can&#8217;t design without content or create visualizations without data, but those that have meaningful content/data behind them become that much more rich.</p>
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		<title>By: Janice</title>
		<link>http://flowingdata.com/2008/11/14/open-thread-i-dont-care-about-the-data/#comment-18461</link>
		<dc:creator>Janice</dc:creator>
		<pubDate>Fri, 14 Nov 2008 21:08:51 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=1113#comment-18461</guid>
		<description>Not to be a snarky purist, but nobody creating a visualization should &quot;care&quot; about the data. This is the what should separate a visualization from a sales brochure.</description>
		<content:encoded><![CDATA[<p>Not to be a snarky purist, but nobody creating a visualization should &#8220;care&#8221; about the data. This is the what should separate a visualization from a sales brochure.</p>
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		<title>By: Michael</title>
		<link>http://flowingdata.com/2008/11/14/open-thread-i-dont-care-about-the-data/#comment-18438</link>
		<dc:creator>Michael</dc:creator>
		<pubDate>Fri, 14 Nov 2008 19:46:52 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=1113#comment-18438</guid>
		<description>Data visualization is meant to maximize comprehension of a data set. If the data set is &quot;not worthwhile&quot; then you comprehend something &quot;not worthwhile&quot;. In this case the visualization is more objet d&#039;art than business driver. Data matters.</description>
		<content:encoded><![CDATA[<p>Data visualization is meant to maximize comprehension of a data set. If the data set is &#8220;not worthwhile&#8221; then you comprehend something &#8220;not worthwhile&#8221;. In this case the visualization is more objet d&#8217;art than business driver. Data matters.</p>
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		<title>By: Justin Boland</title>
		<link>http://flowingdata.com/2008/11/14/open-thread-i-dont-care-about-the-data/#comment-18435</link>
		<dc:creator>Justin Boland</dc:creator>
		<pubDate>Fri, 14 Nov 2008 19:20:04 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=1113#comment-18435</guid>
		<description>Absolutely, yes.  A good visualization can pull unseen insights out of apparently useless data, and that happens quite often.

On the flip side, it&#039;s also quite common to see important data sets get rendered into background noise with a crap/lazy visualization.

However, infographics are most potent when their &quot;info&quot; cannot be called into question and is easily independently verified.</description>
		<content:encoded><![CDATA[<p>Absolutely, yes.  A good visualization can pull unseen insights out of apparently useless data, and that happens quite often.</p>
<p>On the flip side, it&#8217;s also quite common to see important data sets get rendered into background noise with a crap/lazy visualization.</p>
<p>However, infographics are most potent when their &#8220;info&#8221; cannot be called into question and is easily independently verified.</p>
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		<title>By: Matt</title>
		<link>http://flowingdata.com/2008/11/14/open-thread-i-dont-care-about-the-data/#comment-18429</link>
		<dc:creator>Matt</dc:creator>
		<pubDate>Fri, 14 Nov 2008 18:56:58 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=1113#comment-18429</guid>
		<description>I agree with Peter Whitley.  Garbage In = Garbage out.  

A good visualization should let you evaluate whether the data is garbage or not.  A scatter plot is a way to look for correlation and will indicate what is going on.  If I make a panel of pie charts to visualize a correlation then I&#039;m probably in trouble.</description>
		<content:encoded><![CDATA[<p>I agree with Peter Whitley.  Garbage In = Garbage out.  </p>
<p>A good visualization should let you evaluate whether the data is garbage or not.  A scatter plot is a way to look for correlation and will indicate what is going on.  If I make a panel of pie charts to visualize a correlation then I&#8217;m probably in trouble.</p>
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		<title>By: Peter Whitley</title>
		<link>http://flowingdata.com/2008/11/14/open-thread-i-dont-care-about-the-data/#comment-18423</link>
		<dc:creator>Peter Whitley</dc:creator>
		<pubDate>Fri, 14 Nov 2008 18:34:08 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=1113#comment-18423</guid>
		<description>Interesting data visualization is not contingent on interesting data, but good data visualization absolutely requires good data. Without data you end up with just &quot;visualization.&quot; Art. Not that there&#039;s anything uniquely wrong with that. Data visualization that doesn&#039;t &quot;care&quot; about the data will lose its context to the subject and the communication will suffer.

There&#039;s a lesson in packaging, my occupational field, where a designer may have a great idea for a package...a real award-winner. If that package isn&#039;t appropriate for the product, it doesn&#039;t mean the package wasn&#039;t clever or interesting...it just means it wasn&#039;t appropriate. Any manufactured product faces this dilemma; where is the balance between design and usability? Design must be informed by the product&#039;s purpose if it&#039;s going to add value to that product. Otherwise the design will feel gratuitous and sit atop the purpose like an ill-fitting Christmas sweater.</description>
		<content:encoded><![CDATA[<p>Interesting data visualization is not contingent on interesting data, but good data visualization absolutely requires good data. Without data you end up with just &#8220;visualization.&#8221; Art. Not that there&#8217;s anything uniquely wrong with that. Data visualization that doesn&#8217;t &#8220;care&#8221; about the data will lose its context to the subject and the communication will suffer.</p>
<p>There&#8217;s a lesson in packaging, my occupational field, where a designer may have a great idea for a package&#8230;a real award-winner. If that package isn&#8217;t appropriate for the product, it doesn&#8217;t mean the package wasn&#8217;t clever or interesting&#8230;it just means it wasn&#8217;t appropriate. Any manufactured product faces this dilemma; where is the balance between design and usability? Design must be informed by the product&#8217;s purpose if it&#8217;s going to add value to that product. Otherwise the design will feel gratuitous and sit atop the purpose like an ill-fitting Christmas sweater.</p>
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