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	<title>Comments on: How People in America Spend Their Day</title>
	<atom:link href="http://flowingdata.com/2009/08/10/how-people-in-america-spend-their-day/feed/" rel="self" type="application/rss+xml" />
	<link>http://flowingdata.com/2009/08/10/how-people-in-america-spend-their-day/</link>
	<description>Strength in Numbers</description>
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		<title>By: Draw a Picture? (or, Check out this data on metal bands) &#171; The Other Side of the Coin &#8482;</title>
		<link>http://flowingdata.com/2009/08/10/how-people-in-america-spend-their-day/#comment-34169</link>
		<dc:creator>Draw a Picture? (or, Check out this data on metal bands) &#171; The Other Side of the Coin &#8482;</dc:creator>
		<pubDate>Tue, 15 Sep 2009 17:28:14 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=2428#comment-34169</guid>
		<description>[...] How People in America Spend their Day (I showed you this one in class) [...]</description>
		<content:encoded><![CDATA[<p>[...] How People in America Spend their Day (I showed you this one in class) [...]</p>
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		<title>By: xlifes</title>
		<link>http://flowingdata.com/2009/08/10/how-people-in-america-spend-their-day/#comment-32604</link>
		<dc:creator>xlifes</dc:creator>
		<pubDate>Thu, 13 Aug 2009 14:50:16 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=2428#comment-32604</guid>
		<description>Hi,
Can anyone tell me what software is used to produce these kind of &#039;organic&#039; interactive graphics? What I mean by this is the kind that immediatly adaptd itself according to mouse moving (often on slide bars) or by clicking a button (but you actually see the morph instead of just the image changing).
Thanks</description>
		<content:encoded><![CDATA[<p>Hi,<br />
Can anyone tell me what software is used to produce these kind of &#8216;organic&#8217; interactive graphics? What I mean by this is the kind that immediatly adaptd itself according to mouse moving (often on slide bars) or by clicking a button (but you actually see the morph instead of just the image changing).<br />
Thanks</p>
]]></content:encoded>
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	<item>
		<title>By: Nathan</title>
		<link>http://flowingdata.com/2009/08/10/how-people-in-america-spend-their-day/#comment-32528</link>
		<dc:creator>Nathan</dc:creator>
		<pubDate>Tue, 11 Aug 2009 20:50:22 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=2428#comment-32528</guid>
		<description>i don&#039;t think it&#039;s all that misleading. the purpose of this stacked time series is compare proportions over time. So when you&#039;re looking at all activities at once, you&#039;re comparing percentages at each given point in time as opposed to trying to figure out how a single activity plays out. Then when you&#039;re interested in a single activity, you click on it to drill down for that individual view.</description>
		<content:encoded><![CDATA[<p>i don&#8217;t think it&#8217;s all that misleading. the purpose of this stacked time series is compare proportions over time. So when you&#8217;re looking at all activities at once, you&#8217;re comparing percentages at each given point in time as opposed to trying to figure out how a single activity plays out. Then when you&#8217;re interested in a single activity, you click on it to drill down for that individual view.</p>
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	<item>
		<title>By: Justin</title>
		<link>http://flowingdata.com/2009/08/10/how-people-in-america-spend-their-day/#comment-32510</link>
		<dc:creator>Justin</dc:creator>
		<pubDate>Tue, 11 Aug 2009 17:18:28 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=2428#comment-32510</guid>
		<description>I made a similar visualization a few months back, http://justintalbot.org/?p=85 (click on the image)

I ended up splitting the data by weekday/weekend since that was the dimension that seemed to have the most interesting variation.

You can also type in words to get more detail than in the NYT version. For example, type &quot;child&quot; in the text box to get all activities related to children.</description>
		<content:encoded><![CDATA[<p>I made a similar visualization a few months back, <a href="http://justintalbot.org/?p=85" rel="nofollow">http://justintalbot.org/?p=85</a> (click on the image)</p>
<p>I ended up splitting the data by weekday/weekend since that was the dimension that seemed to have the most interesting variation.</p>
<p>You can also type in words to get more detail than in the NYT version. For example, type &#8220;child&#8221; in the text box to get all activities related to children.</p>
]]></content:encoded>
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	<item>
		<title>By: Manuarte</title>
		<link>http://flowingdata.com/2009/08/10/how-people-in-america-spend-their-day/#comment-32498</link>
		<dc:creator>Manuarte</dc:creator>
		<pubDate>Tue, 11 Aug 2009 15:26:33 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=2428#comment-32498</guid>
		<description>The interactivity rescues this and it is pretty cool, but in general I find these kinds of charts infuriating in their popularity these days. A rise or fall in one measurement causes the graph of all other measurements to rise or fall, even if those items are holding steady. This makes these kinds of presentations of data really misleading. 

For instance, look at the &quot;TV and Movies&quot; measurement, or the &quot;Personal Care&quot; one. Can you guess at which point those items max out? Now mouse over and see if you were right. I doubt it.

Perhaps the coolest thing about this, then, is how the interactivity shows how such graphs are intuitively misleading...</description>
		<content:encoded><![CDATA[<p>The interactivity rescues this and it is pretty cool, but in general I find these kinds of charts infuriating in their popularity these days. A rise or fall in one measurement causes the graph of all other measurements to rise or fall, even if those items are holding steady. This makes these kinds of presentations of data really misleading. </p>
<p>For instance, look at the &#8220;TV and Movies&#8221; measurement, or the &#8220;Personal Care&#8221; one. Can you guess at which point those items max out? Now mouse over and see if you were right. I doubt it.</p>
<p>Perhaps the coolest thing about this, then, is how the interactivity shows how such graphs are intuitively misleading&#8230;</p>
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	<item>
		<title>By: laURA A CAMPBELL</title>
		<link>http://flowingdata.com/2009/08/10/how-people-in-america-spend-their-day/#comment-32484</link>
		<dc:creator>laURA A CAMPBELL</dc:creator>
		<pubDate>Tue, 11 Aug 2009 04:55:19 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=2428#comment-32484</guid>
		<description>What a great visual!  I am between employed and unemployed, working and retired - gives me a good idea of what others are doing and the life I want to lead.  Thank you!

P.S.  I am soon to be re-employed with a school in great need.  It would be so powerful to be able to set up this kind of data analysis with student participation and data.  Anyone willing to help me set this up?</description>
		<content:encoded><![CDATA[<p>What a great visual!  I am between employed and unemployed, working and retired &#8211; gives me a good idea of what others are doing and the life I want to lead.  Thank you!</p>
<p>P.S.  I am soon to be re-employed with a school in great need.  It would be so powerful to be able to set up this kind of data analysis with student participation and data.  Anyone willing to help me set this up?</p>
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		<title>By: neat-o graph shows how americans spend their day</title>
		<link>http://flowingdata.com/2009/08/10/how-people-in-america-spend-their-day/#comment-32477</link>
		<dc:creator>neat-o graph shows how americans spend their day</dc:creator>
		<pubDate>Mon, 10 Aug 2009 20:54:02 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=2428#comment-32477</guid>
		<description>[...] via Flowing Data plug this [...]</description>
		<content:encoded><![CDATA[<p>[...] via Flowing Data plug this [...]</p>
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		<title>By: Dean Eckles</title>
		<link>http://flowingdata.com/2009/08/10/how-people-in-america-spend-their-day/#comment-32476</link>
		<dc:creator>Dean Eckles</dc:creator>
		<pubDate>Mon, 10 Aug 2009 20:23:03 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=2428#comment-32476</guid>
		<description>In addition to considering variation by day of the week, I wonder in general what the distribution of sleeping hours look like: right-skewed?</description>
		<content:encoded><![CDATA[<p>In addition to considering variation by day of the week, I wonder in general what the distribution of sleeping hours look like: right-skewed?</p>
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		<title>By: ericsoco</title>
		<link>http://flowingdata.com/2009/08/10/how-people-in-america-spend-their-day/#comment-32472</link>
		<dc:creator>ericsoco</dc:creator>
		<pubDate>Mon, 10 Aug 2009 18:07:24 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=2428#comment-32472</guid>
		<description>would be interesting to see which day of the week this is, or even better, to see this graph expanded over a week.</description>
		<content:encoded><![CDATA[<p>would be interesting to see which day of the week this is, or even better, to see this graph expanded over a week.</p>
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		<title>By: Joe Mako</title>
		<link>http://flowingdata.com/2009/08/10/how-people-in-america-spend-their-day/#comment-32471</link>
		<dc:creator>Joe Mako</dc:creator>
		<pubDate>Mon, 10 Aug 2009 17:19:09 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=2428#comment-32471</guid>
		<description>I really liked the two articles on Junk Charts about this:
http://junkcharts.typepad.com/junk_charts/2009/08/degrees-of-likeness.html
http://junkcharts.typepad.com/junk_charts/2009/08/degrees-of-likeness-2.html</description>
		<content:encoded><![CDATA[<p>I really liked the two articles on Junk Charts about this:<br />
<a href="http://junkcharts.typepad.com/junk_charts/2009/08/degrees-of-likeness.html" rel="nofollow">http://junkcharts.typepad.com/.....eness.html</a><br />
<a href="http://junkcharts.typepad.com/junk_charts/2009/08/degrees-of-likeness-2.html" rel="nofollow">http://junkcharts.typepad.com/.....ess-2.html</a></p>
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