<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
		>
<channel>
	<title>Comments on: Ten Chart Design Principles: Guest Post</title>
	<atom:link href="http://peltiertech.com/WordPress/ten-chart-design-principles-guest-post/feed/" rel="self" type="application/rss+xml" />
	<link>http://peltiertech.com/WordPress/ten-chart-design-principles-guest-post/</link>
	<description>PTS Excel Charts and Tutorials Blog</description>
	<lastBuildDate>Sat, 21 Nov 2009 04:01:08 -0600</lastBuildDate>
	<generator>http://wordpress.org/?v=2.8.4</generator>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<xhtml:meta xmlns:xhtml="http://www.w3.org/1999/xhtml" name="robots" content="noindex" />
	<item>
		<title>By: How to make a survey&#8217;s results look good &#171; Measuring-Satisfaction.com</title>
		<link>http://peltiertech.com/WordPress/ten-chart-design-principles-guest-post/comment-page-1/#comment-17393</link>
		<dc:creator>How to make a survey&#8217;s results look good &#171; Measuring-Satisfaction.com</dc:creator>
		<pubDate>Fri, 07 Aug 2009 14:07:05 +0000</pubDate>
		<guid isPermaLink="false">http://peltiertech.com/WordPress/?p=763#comment-17393</guid>
		<description>[...] a Comment  One other article I bookmarked this week. How to make data charts look good &#8211; Ten Chart Design Principles (screenshot below). [...]</description>
		<content:encoded><![CDATA[<p>[...] a Comment  One other article I bookmarked this week. How to make data charts look good &#8211; Ten Chart Design Principles (screenshot below). [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Chart design: Is it simple? &#171; mark warren media &#124; what&#8217;s the message?</title>
		<link>http://peltiertech.com/WordPress/ten-chart-design-principles-guest-post/comment-page-1/#comment-13424</link>
		<dc:creator>Chart design: Is it simple? &#171; mark warren media &#124; what&#8217;s the message?</dc:creator>
		<pubDate>Fri, 24 Apr 2009 16:03:51 +0000</pubDate>
		<guid isPermaLink="false">http://peltiertech.com/WordPress/?p=763#comment-13424</guid>
		<description>[...] is a good article which outlines everything I believe when it comes to chart [...]</description>
		<content:encoded><![CDATA[<p>[...] is a good article which outlines everything I believe when it comes to chart [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: derek</title>
		<link>http://peltiertech.com/WordPress/ten-chart-design-principles-guest-post/comment-page-1/#comment-6069</link>
		<dc:creator>derek</dc:creator>
		<pubDate>Mon, 10 Nov 2008 20:51:55 +0000</pubDate>
		<guid isPermaLink="false">http://peltiertech.com/WordPress/?p=763#comment-6069</guid>
		<description>I believe that chartjunk can be a complementary phenomenon, like the pictures that are an urn or a pair of faces, depending on how you look at it. If a graph has both a scale bar and gridlines, it may be that the gridlines are unnecessary junk. Or it may be that the &lt;i&gt;scale bar&lt;/i&gt; is unnecessary, as long as the gridlines are labeled. 

Similarly, when there are gridlines and zebra stripes together (the gridlines running neatly along the boundary between white and gray), then one of them is surely junk. But which one is a matter of taste.</description>
		<content:encoded><![CDATA[<p>I believe that chartjunk can be a complementary phenomenon, like the pictures that are an urn or a pair of faces, depending on how you look at it. If a graph has both a scale bar and gridlines, it may be that the gridlines are unnecessary junk. Or it may be that the <i>scale bar</i> is unnecessary, as long as the gridlines are labeled. </p>
<p>Similarly, when there are gridlines and zebra stripes together (the gridlines running neatly along the boundary between white and gray), then one of them is surely junk. But which one is a matter of taste.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Excel Links of the Week - All Downloads at One Place Edition &#124; Pointy Haired Dilbert - Chandoo.org</title>
		<link>http://peltiertech.com/WordPress/ten-chart-design-principles-guest-post/comment-page-1/#comment-6068</link>
		<dc:creator>Excel Links of the Week - All Downloads at One Place Edition &#124; Pointy Haired Dilbert - Chandoo.org</dc:creator>
		<pubDate>Mon, 10 Nov 2008 19:58:20 +0000</pubDate>
		<guid isPermaLink="false">http://peltiertech.com/WordPress/?p=763#comment-6068</guid>
		<description>[...] Ten Principles for Chart Design [...]</description>
		<content:encoded><![CDATA[<p>[...] Ten Principles for Chart Design [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Bob</title>
		<link>http://peltiertech.com/WordPress/ten-chart-design-principles-guest-post/comment-page-1/#comment-6044</link>
		<dc:creator>Bob</dc:creator>
		<pubDate>Sun, 09 Nov 2008 00:03:24 +0000</pubDate>
		<guid isPermaLink="false">http://peltiertech.com/WordPress/?p=763#comment-6044</guid>
		<description>Hi, 

Great discussion here, as usual...

What about the chart on revenue and plan?

The data table is misleading. I don&#039;t think there is a 95% variance, rather about 5% below plan.

Cheers,
Bob</description>
		<content:encoded><![CDATA[<p>Hi, </p>
<p>Great discussion here, as usual&#8230;</p>
<p>What about the chart on revenue and plan?</p>
<p>The data table is misleading. I don&#8217;t think there is a 95% variance, rather about 5% below plan.</p>
<p>Cheers,<br />
Bob</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Jon Peltier</title>
		<link>http://peltiertech.com/WordPress/ten-chart-design-principles-guest-post/comment-page-1/#comment-6039</link>
		<dc:creator>Jon Peltier</dc:creator>
		<pubDate>Sat, 08 Nov 2008 12:55:57 +0000</pubDate>
		<guid isPermaLink="false">http://peltiertech.com/WordPress/?p=763#comment-6039</guid>
		<description>Hi Colin -

Regarding the unequal intervals: I&#039;ve already discussed using a different axis scale, such that the horizontal distance between points is proportional to the time between measurements.

Regarding the potential for missing observations: One can only hope that the chart was not distorted by omission of data that did not support the claim (i.e., that there are increasingly more drivers in Texas each year). Leaving out some years&#039; data because collecting it is a chore is not a crime; leaving out some years&#039; data because it would show a drop while other years show an increase should be.

Regarding omission of Mike&#039;s Xcelsius book: It would seem that I&#039;ve violated the rule in the preceding paragraph! Let me put forth these excuses: 

1. I used Xcelsius for a couple projects several years ago, found it not to my liking, and ignore it now. 

2. I would not like to mention the book and inadvertently cause some readers to purchase the book and apply its teachings.

But the real reason I omitted the Xcelsius book is that I simply forgot about it.</description>
		<content:encoded><![CDATA[<p>Hi Colin -</p>
<p>Regarding the unequal intervals: I&#8217;ve already discussed using a different axis scale, such that the horizontal distance between points is proportional to the time between measurements.</p>
<p>Regarding the potential for missing observations: One can only hope that the chart was not distorted by omission of data that did not support the claim (i.e., that there are increasingly more drivers in Texas each year). Leaving out some years&#8217; data because collecting it is a chore is not a crime; leaving out some years&#8217; data because it would show a drop while other years show an increase should be.</p>
<p>Regarding omission of Mike&#8217;s Xcelsius book: It would seem that I&#8217;ve violated the rule in the preceding paragraph! Let me put forth these excuses: </p>
<p>1. I used Xcelsius for a couple projects several years ago, found it not to my liking, and ignore it now. </p>
<p>2. I would not like to mention the book and inadvertently cause some readers to purchase the book and apply its teachings.</p>
<p>But the real reason I omitted the Xcelsius book is that I simply forgot about it.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Colin Banfield</title>
		<link>http://peltiertech.com/WordPress/ten-chart-design-principles-guest-post/comment-page-1/#comment-6037</link>
		<dc:creator>Colin Banfield</dc:creator>
		<pubDate>Sat, 08 Nov 2008 07:19:45 +0000</pubDate>
		<guid isPermaLink="false">http://peltiertech.com/WordPress/?p=763#comment-6037</guid>
		<description>Unfortunately, except for the charts with the date axes, all of the line chart examples are misleading.  You cannot simply compare equal intervals for some data points and then switch to a different interval and expect the result to be a meaningful trend of the plotted data.  The lines shown in #4 and #5 are particularly bad.  For all we know, there might have been declines in the years 1999 and 2002 - the line chart constructed would mask this perfectly.  Other than the interval problem, the tips are good.

BTW, I see that you&#039;ve &quot;conveniently&quot; left out Mike&#039;s Xcelsius book from the list, which is filled with examples that happily violate tip #1 :D</description>
		<content:encoded><![CDATA[<p>Unfortunately, except for the charts with the date axes, all of the line chart examples are misleading.  You cannot simply compare equal intervals for some data points and then switch to a different interval and expect the result to be a meaningful trend of the plotted data.  The lines shown in #4 and #5 are particularly bad.  For all we know, there might have been declines in the years 1999 and 2002 &#8211; the line chart constructed would mask this perfectly.  Other than the interval problem, the tips are good.</p>
<p>BTW, I see that you&#8217;ve &#8220;conveniently&#8221; left out Mike&#8217;s Xcelsius book from the list, which is filled with examples that happily violate tip #1 :D</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Mike Alexander</title>
		<link>http://peltiertech.com/WordPress/ten-chart-design-principles-guest-post/comment-page-1/#comment-6036</link>
		<dc:creator>Mike Alexander</dc:creator>
		<pubDate>Sat, 08 Nov 2008 05:35:02 +0000</pubDate>
		<guid isPermaLink="false">http://peltiertech.com/WordPress/?p=763#comment-6036</guid>
		<description>Thanks for posting this Jon.  Sorry I missed the discussion so far.  

I see my decision to include chart axes in the category of Chart Junk has met with some opposition. ; )

I do see the points you have all made in reference to Tip #2 where I say “Remove Axes that Don’t Provide Value”.  I do not mean to suggest that any axis be thrown away cavalierly.

All I suggest here is that you should remove anything that does not contribute to the message in your chart.  In some simple charts (such as my example), the data points, the x axis and general trend give you (I believe) the landmarks you need to not only determine the validity of the trend, but to garner the information presented without the need to refer to an axis.  Axis labels are not sacred in my book and can be removed if not needed.  

I remember reading somewhere that (paraphrasing here) a designer is not done when there is no more to add, but when there is nothing more which can be removed. Tip #2 comes to you in that spirit, nothing more sinister than that.</description>
		<content:encoded><![CDATA[<p>Thanks for posting this Jon.  Sorry I missed the discussion so far.  </p>
<p>I see my decision to include chart axes in the category of Chart Junk has met with some opposition. ; )</p>
<p>I do see the points you have all made in reference to Tip #2 where I say “Remove Axes that Don’t Provide Value”.  I do not mean to suggest that any axis be thrown away cavalierly.</p>
<p>All I suggest here is that you should remove anything that does not contribute to the message in your chart.  In some simple charts (such as my example), the data points, the x axis and general trend give you (I believe) the landmarks you need to not only determine the validity of the trend, but to garner the information presented without the need to refer to an axis.  Axis labels are not sacred in my book and can be removed if not needed.  </p>
<p>I remember reading somewhere that (paraphrasing here) a designer is not done when there is no more to add, but when there is nothing more which can be removed. Tip #2 comes to you in that spirit, nothing more sinister than that.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Jon Peltier</title>
		<link>http://peltiertech.com/WordPress/ten-chart-design-principles-guest-post/comment-page-1/#comment-6027</link>
		<dc:creator>Jon Peltier</dc:creator>
		<pubDate>Fri, 07 Nov 2008 18:16:51 +0000</pubDate>
		<guid isPermaLink="false">http://peltiertech.com/WordPress/?p=763#comment-6027</guid>
		<description>The point is, if there is any logical order to your categories, sort by the categories. If there is no particular order of the categories, don&#039;t sort them alphabetically (the &quot;Alabama Syndrome&quot;), sort by the values.</description>
		<content:encoded><![CDATA[<p>The point is, if there is any logical order to your categories, sort by the categories. If there is no particular order of the categories, don&#8217;t sort them alphabetically (the &#8220;Alabama Syndrome&#8221;), sort by the values.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Guillaume Marceau</title>
		<link>http://peltiertech.com/WordPress/ten-chart-design-principles-guest-post/comment-page-1/#comment-6026</link>
		<dc:creator>Guillaume Marceau</dc:creator>
		<pubDate>Fri, 07 Nov 2008 16:26:16 +0000</pubDate>
		<guid isPermaLink="false">http://peltiertech.com/WordPress/?p=763#comment-6026</guid>
		<description>#6, If you are in a position to expect a bell curve from the phenomena you are observing, order your data so that the bell curve is apparent.

Instead of
   Neither Approve nor Disapprove 50% :  ##########
   Approve                                       30% :  ######
   Disapprove                                  20% :  ####

Do:   
   Approve                                       30% :  ######
   Neither Approve nor Disapprove 50% :  ##########
   Disapprove                                  20% :  ####</description>
		<content:encoded><![CDATA[<p>#6, If you are in a position to expect a bell curve from the phenomena you are observing, order your data so that the bell curve is apparent.</p>
<p>Instead of<br />
   Neither Approve nor Disapprove 50% :  ##########<br />
   Approve                                       30% :  ######<br />
   Disapprove                                  20% :  ####</p>
<p>Do:<br />
   Approve                                       30% :  ######<br />
   Neither Approve nor Disapprove 50% :  ##########<br />
   Disapprove                                  20% :  ####</p>
]]></content:encoded>
	</item>
</channel>
</rss>
