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	<title>Comments for Support Analytics Blog</title>
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	<link>http://supportanalytics.com/blog</link>
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	<lastBuildDate>Mon, 08 Mar 2010 16:11:22 -0500</lastBuildDate>
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		<title>Comment on Analyzing a Stacked Bar Chart by Joe Mako</title>
		<link>http://supportanalytics.com/blog/2010/03/analyzing-a-stacked-bar-chart/comment-page-1/#comment-3678</link>
		<dc:creator>Joe Mako</dc:creator>
		<pubDate>Mon, 08 Mar 2010 16:11:22 +0000</pubDate>
		<guid isPermaLink="false">http://supportanalytics.com/blog/2010/03/analyzing-a-stacked-bar-chart/#comment-3678</guid>
		<description>Another interesting view would be percent difference from previous.

With your sample data, it shows that you did a 25% increase each month in each area, but with real data the view would be more interesting.</description>
		<content:encoded><![CDATA[<p>Another interesting view would be percent difference from previous.</p>
<p>With your sample data, it shows that you did a 25% increase each month in each area, but with real data the view would be more interesting.</p>
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		<title>Comment on Analyzing a Stacked Bar Chart by derek</title>
		<link>http://supportanalytics.com/blog/2010/03/analyzing-a-stacked-bar-chart/comment-page-1/#comment-3677</link>
		<dc:creator>derek</dc:creator>
		<pubDate>Mon, 08 Mar 2010 14:03:53 +0000</pubDate>
		<guid isPermaLink="false">http://supportanalytics.com/blog/2010/03/analyzing-a-stacked-bar-chart/#comment-3677</guid>
		<description>I&#039;m a great believer in lagniappe: putting in a little extra that isn&#039;t required by the primary mission, provided first that it does no harm. 

So I&#039;d happily use a stacked bar chart when the requirement was for an unstacked total bar, because that&#039;s something the stacked bar is very good at: showing changes in the total. 

But I&#039;m with you about stacked bars when the primary mission is comparing the individual parts. They just don&#039;t do that job very well.</description>
		<content:encoded><![CDATA[<p>I&#8217;m a great believer in lagniappe: putting in a little extra that isn&#8217;t required by the primary mission, provided first that it does no harm. </p>
<p>So I&#8217;d happily use a stacked bar chart when the requirement was for an unstacked total bar, because that&#8217;s something the stacked bar is very good at: showing changes in the total. </p>
<p>But I&#8217;m with you about stacked bars when the primary mission is comparing the individual parts. They just don&#8217;t do that job very well.</p>
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		<title>Comment on Analyzing a Stacked Bar Chart by Jon Peltier</title>
		<link>http://supportanalytics.com/blog/2010/03/analyzing-a-stacked-bar-chart/comment-page-1/#comment-3676</link>
		<dc:creator>Jon Peltier</dc:creator>
		<pubDate>Mon, 08 Mar 2010 13:02:00 +0000</pubDate>
		<guid isPermaLink="false">http://supportanalytics.com/blog/2010/03/analyzing-a-stacked-bar-chart/#comment-3676</guid>
		<description>The line chart (&quot;stacked column chart 4&quot;) is my first choice, but you should put &quot;Total&quot; first in the legend. Better yet, label the lines themselves.

A companion line chart comparing percentage of the whole vs time instead of value vs time could be insightful.

The offset stacked column chart might be my second choice. It is arguably more effective than the aligned stacked column, but it is still a trick to compare the bars that have different baselines. It is also possible that the tops of the individual bars in each stack unintentionally imply more of a trend than intended. This is shown in Stephen Few&#039;s article &lt;a href=&quot;http://www.information-management.com/issues/20050801/1033566-1.html&quot; title=&quot;Boxes of Insight&quot; rel=&quot;nofollow&quot;&gt;Boxes of Insight&lt;/a&gt;. The bar chart looks like a steadily increasing trend, because the eye combines the female and male data without contrasting them. The box plot below it reverses the F/M order, and boxes each pair within salary ranges, and the F/M difference is glaringly obvious.

The first panel you show (&quot;reach chart&quot;) and the last (&quot;trend&quot;) are less effective than panel charts can be, since the different series have such different values.</description>
		<content:encoded><![CDATA[<p>The line chart (&#8220;stacked column chart 4&#8243;) is my first choice, but you should put &#8220;Total&#8221; first in the legend. Better yet, label the lines themselves.</p>
<p>A companion line chart comparing percentage of the whole vs time instead of value vs time could be insightful.</p>
<p>The offset stacked column chart might be my second choice. It is arguably more effective than the aligned stacked column, but it is still a trick to compare the bars that have different baselines. It is also possible that the tops of the individual bars in each stack unintentionally imply more of a trend than intended. This is shown in Stephen Few&#8217;s article <a href="http://www.information-management.com/issues/20050801/1033566-1.html" title="Boxes of Insight" rel="nofollow">Boxes of Insight</a>. The bar chart looks like a steadily increasing trend, because the eye combines the female and male data without contrasting them. The box plot below it reverses the F/M order, and boxes each pair within salary ranges, and the F/M difference is glaringly obvious.</p>
<p>The first panel you show (&#8220;reach chart&#8221;) and the last (&#8220;trend&#8221;) are less effective than panel charts can be, since the different series have such different values.</p>
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		<title>Comment on Think Before You Stack by Support Analytics Blog &#187; Blog Archive &#187; Analyzing a Stacked Bar Chart</title>
		<link>http://supportanalytics.com/blog/2009/06/think-before-you-stack/comment-page-1/#comment-3674</link>
		<dc:creator>Support Analytics Blog &#187; Blog Archive &#187; Analyzing a Stacked Bar Chart</dc:creator>
		<pubDate>Mon, 08 Mar 2010 12:31:11 +0000</pubDate>
		<guid isPermaLink="false">http://supportanalytics.com/blog/2009/06/think-before-you-stack/#comment-3674</guid>
		<description>[...] My feelings on these charts is not really anything new, as I’ve stated before on this post and also this post.&#160; In my opinion, after you get beyond two series with like scales, a [...]</description>
		<content:encoded><![CDATA[<p>[...] My feelings on these charts is not really anything new, as I’ve stated before on this post and also this post.&#160; In my opinion, after you get beyond two series with like scales, a [...]</p>
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		<title>Comment on Waterfall Charts by Jon Peltier</title>
		<link>http://supportanalytics.com/blog/2010/03/waterfall-example/comment-page-1/#comment-3653</link>
		<dc:creator>Jon Peltier</dc:creator>
		<pubDate>Mon, 01 Mar 2010 12:37:32 +0000</pubDate>
		<guid isPermaLink="false">http://supportanalytics.com/blog/2010/03/waterfall-example/#comment-3653</guid>
		<description>Tony -

Thanks for reviewing my product. I have worked hard to make it easy to use, because I want even CEOs to be able to use it ;-)

In the near future I hope to add an important feature that you hinted at: the ability to change the default formatting options for charts created by the Waterfall Chart Utility.</description>
		<content:encoded><![CDATA[<p>Tony -</p>
<p>Thanks for reviewing my product. I have worked hard to make it easy to use, because I want even CEOs to be able to use it <img src='http://supportanalytics.com/blog/wp-includes/images/smilies/icon_wink.gif' alt=';-)' class='wp-smiley' /> </p>
<p>In the near future I hope to add an important feature that you hinted at: the ability to change the default formatting options for charts created by the Waterfall Chart Utility.</p>
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		<title>Comment on e-Store by Support Analytics Blog &#187; Blog Archive &#187; Support Analytics e-Store</title>
		<link>http://supportanalytics.com/blog/e-store/comment-page-1/#comment-3632</link>
		<dc:creator>Support Analytics Blog &#187; Blog Archive &#187; Support Analytics e-Store</dc:creator>
		<pubDate>Mon, 22 Feb 2010 12:31:15 +0000</pubDate>
		<guid isPermaLink="false">http://supportanalytics.com/blog/e-store/#comment-3632</guid>
		<description>[...] e-Store [...]</description>
		<content:encoded><![CDATA[<p>[...] e-Store [...]</p>
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		<title>Comment on Data Analysis &amp; Visualization on Facebook by Tweets that mention Support Analytics Blog » Blog Archive » Data Analysis &#38; Visualization on Facebook -- Topsy.com</title>
		<link>http://supportanalytics.com/blog/2010/02/data-analysis-visualization-on-facebook/comment-page-1/#comment-3604</link>
		<dc:creator>Tweets that mention Support Analytics Blog » Blog Archive » Data Analysis &#38; Visualization on Facebook -- Topsy.com</dc:creator>
		<pubDate>Tue, 09 Feb 2010 17:02:12 +0000</pubDate>
		<guid isPermaLink="false">http://supportanalytics.com/blog/2010/02/data-analysis-visualization-on-facebook/#comment-3604</guid>
		<description>[...] This post was mentioned on Twitter by Tony (SA), Social Lattice. Social Lattice said: #analytics Support Analytics Blog » Blog Archive » Data Analysis ...: I wanted to take a minute ... http://bit.ly/aX1WDV #facebook #twitter [...]</description>
		<content:encoded><![CDATA[<p>[...] This post was mentioned on Twitter by Tony (SA), Social Lattice. Social Lattice said: #analytics Support Analytics Blog » Blog Archive » Data Analysis &#8230;: I wanted to take a minute &#8230; <a href="http://bit.ly/aX1WDV" rel="nofollow">http://bit.ly/aX1WDV</a> #facebook #twitter [...]</p>
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		<title>Comment on Information Visualization or Data Visualization, You Decide [Poll] by Tony</title>
		<link>http://supportanalytics.com/blog/2010/02/information-visualization-or-data-visualization-you-decide-poll/comment-page-1/#comment-3598</link>
		<dc:creator>Tony</dc:creator>
		<pubDate>Fri, 05 Feb 2010 05:05:12 +0000</pubDate>
		<guid isPermaLink="false">http://supportanalytics.com/blog/2010/02/information-visualization-or-data-visualization-you-decide-poll/#comment-3598</guid>
		<description>Naomi, you are absolutely right in that this could fit into multiple categories.  My intention with this post was to highlight the disconnection on the definitions of each and how they are used somewhat interchangeably. 

Thank you for your comment and sharing this information with the readers!</description>
		<content:encoded><![CDATA[<p>Naomi, you are absolutely right in that this could fit into multiple categories.  My intention with this post was to highlight the disconnection on the definitions of each and how they are used somewhat interchangeably. </p>
<p>Thank you for your comment and sharing this information with the readers!</p>
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		<title>Comment on Information Visualization or Data Visualization, You Decide [Poll] by Naomi B. Robbins</title>
		<link>http://supportanalytics.com/blog/2010/02/information-visualization-or-data-visualization-you-decide-poll/comment-page-1/#comment-3595</link>
		<dc:creator>Naomi B. Robbins</dc:creator>
		<pubDate>Thu, 04 Feb 2010 18:57:36 +0000</pubDate>
		<guid isPermaLink="false">http://supportanalytics.com/blog/2010/02/information-visualization-or-data-visualization-you-decide-poll/#comment-3595</guid>
		<description>The poll does not allow for more than one check. It is clearly a chart/graph and also a statistical graphic since it shows quantitative data. Information graphics include statistical graphics as well as lots of other graphics like subway maps, maps, diagrams, etc. I&#039;ve seen so many conflicting definitions of data visualization and information visualization that it&#039;s difficult to comment on these. Some consider data visualization to be synonymous with statistical graphic while others consider data visualization to be what I call data art: paying more attention to novelty and attracting attention than to communicating clearly and accurately. Information visualization need not be of quantitative data. This figure may be &quot;all of the above&quot; depending on one&#039;s definitions.</description>
		<content:encoded><![CDATA[<p>The poll does not allow for more than one check. It is clearly a chart/graph and also a statistical graphic since it shows quantitative data. Information graphics include statistical graphics as well as lots of other graphics like subway maps, maps, diagrams, etc. I&#8217;ve seen so many conflicting definitions of data visualization and information visualization that it&#8217;s difficult to comment on these. Some consider data visualization to be synonymous with statistical graphic while others consider data visualization to be what I call data art: paying more attention to novelty and attracting attention than to communicating clearly and accurately. Information visualization need not be of quantitative data. This figure may be &#8220;all of the above&#8221; depending on one&#8217;s definitions.</p>
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		<title>Comment on Mean and Median &#8211; Part 2 by Tony</title>
		<link>http://supportanalytics.com/blog/2010/01/mean-and-median-part-2/comment-page-1/#comment-3593</link>
		<dc:creator>Tony</dc:creator>
		<pubDate>Tue, 02 Feb 2010 14:01:05 +0000</pubDate>
		<guid isPermaLink="false">http://supportanalytics.com/blog/2010/01/mean-and-median-part-2/#comment-3593</guid>
		<description>Hi Derek, thanks for commenting.  I miss the posts on your site.

I don&#039;t think you exaggerate all that much on the means.  I may not always present standard deviation, but I always look at it to understand the data better.  I think this has been a great discussion and hopefully opens people up to going beyond average/mean.  Thanks again Derek!</description>
		<content:encoded><![CDATA[<p>Hi Derek, thanks for commenting.  I miss the posts on your site.</p>
<p>I don&#8217;t think you exaggerate all that much on the means.  I may not always present standard deviation, but I always look at it to understand the data better.  I think this has been a great discussion and hopefully opens people up to going beyond average/mean.  Thanks again Derek!</p>
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