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	<title>Comments on: Ebb and Flow of Box Office Receipts Over Past 20 Years</title>
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	<link>http://flowingdata.com/2008/02/25/ebb-and-flow-of-box-office-receipts-over-past-20-years/</link>
	<description>Strength in Numbers</description>
	<lastBuildDate>Sun, 12 Feb 2012 04:57:37 +0000</lastBuildDate>
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		<title>By: Moritz Stefaner</title>
		<link>http://flowingdata.com/2008/02/25/ebb-and-flow-of-box-office-receipts-over-past-20-years/#comment-49851</link>
		<dc:creator>Moritz Stefaner</dc:creator>
		<pubDate>Fri, 14 Mar 2008 09:30:00 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/2008/02/25/ebb-and-flow-of-box-office-receipts-over-past-20-years/#comment-49851</guid>
		<description>Here is another variant of the visualization principle I did for my &lt;a href=&quot;http://well-formed-data.net/thesis&quot; rel=&quot;nofollow&quot;&gt;master&#039;s thesis&lt;/a&gt;:

&lt;a href=&quot;http://well-formed-data.net/archives/77/emerging-topics-update&quot; rel=&quot;nofollow&quot;&gt;Emerging topics&lt;/a&gt;</description>
		<content:encoded><![CDATA[<p>Here is another variant of the visualization principle I did for my <a href="http://well-formed-data.net/thesis" rel="nofollow">master&#8217;s thesis</a>:</p>
<p><a href="http://well-formed-data.net/archives/77/emerging-topics-update" rel="nofollow">Emerging topics</a></p>
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		<title>By: Egg Syntax</title>
		<link>http://flowingdata.com/2008/02/25/ebb-and-flow-of-box-office-receipts-over-past-20-years/#comment-49850</link>
		<dc:creator>Egg Syntax</dc:creator>
		<pubDate>Fri, 29 Feb 2008 02:14:00 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/2008/02/25/ebb-and-flow-of-box-office-receipts-over-past-20-years/#comment-49850</guid>
		<description>Ha! I&#039;m pleased. I think I get some sort of points. &quot;VisPoints&quot;? &quot;Data Points&quot;? ;)

Lee Byron, AFAIK, studies with Ben Fry at CMU, and I definitely see Fry&#039;s influence in this work.</description>
		<content:encoded><![CDATA[<p>Ha! I&#8217;m pleased. I think I get some sort of points. &#8220;VisPoints&#8221;? &#8220;Data Points&#8221;? ;)</p>
<p>Lee Byron, AFAIK, studies with Ben Fry at CMU, and I definitely see Fry&#8217;s influence in this work.</p>
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		<title>By: Nathan Yau</title>
		<link>http://flowingdata.com/2008/02/25/ebb-and-flow-of-box-office-receipts-over-past-20-years/#comment-1893</link>
		<dc:creator>Nathan Yau</dc:creator>
		<pubDate>Wed, 27 Feb 2008 15:59:23 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/2008/02/25/ebb-and-flow-of-box-office-receipts-over-past-20-years/#comment-1893</guid>
		<description>@egg syntax: definitely right on that one! the lastfm stuff was the inspiration for the graphic: http://www.portfolio.com/views/blogs/odd-numbers/2008/02/26/q-amp-a-anatomy-of-a-graphic</description>
		<content:encoded><![CDATA[<p>@egg syntax: definitely right on that one! the lastfm stuff was the inspiration for the graphic: <a href="http://www.portfolio.com/views/blogs/odd-numbers/2008/02/26/q-amp-a-anatomy-of-a-graphic" rel="nofollow">http://www.portfolio.com/views.....-a-graphic</a></p>
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		<title>By: Egg Syntax</title>
		<link>http://flowingdata.com/2008/02/25/ebb-and-flow-of-box-office-receipts-over-past-20-years/#comment-49848</link>
		<dc:creator>Egg Syntax</dc:creator>
		<pubDate>Tue, 26 Feb 2008 17:45:00 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/2008/02/25/ebb-and-flow-of-box-office-receipts-over-past-20-years/#comment-49848</guid>
		<description>Visually this reminds me most of Lee Byron&#039;s piece which shows listening histories for individuals from last.fm. See http://www.megamu.com/lastfm/</description>
		<content:encoded><![CDATA[<p>Visually this reminds me most of Lee Byron&#8217;s piece which shows listening histories for individuals from last.fm. See <a href="http://www.megamu.com/lastfm/" rel="nofollow">http://www.megamu.com/lastfm/</a></p>
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		<title>By: Hadley</title>
		<link>http://flowingdata.com/2008/02/25/ebb-and-flow-of-box-office-receipts-over-past-20-years/#comment-49847</link>
		<dc:creator>Hadley</dc:creator>
		<pubDate>Tue, 26 Feb 2008 02:34:00 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/2008/02/25/ebb-and-flow-of-box-office-receipts-over-past-20-years/#comment-49847</guid>
		<description>nick: it&#039;s basically a stacked area chart, with some smoothing of the raw data.  i don&#039;t think the horizontal position is that important, i suspect it would be easier to read (but not as pretty) with a flat baseline.</description>
		<content:encoded><![CDATA[<p>nick: it&#8217;s basically a stacked area chart, with some smoothing of the raw data.  i don&#8217;t think the horizontal position is that important, i suspect it would be easier to read (but not as pretty) with a flat baseline.</p>
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		<title>By: Jono</title>
		<link>http://flowingdata.com/2008/02/25/ebb-and-flow-of-box-office-receipts-over-past-20-years/#comment-49846</link>
		<dc:creator>Jono</dc:creator>
		<pubDate>Tue, 26 Feb 2008 02:15:00 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/2008/02/25/ebb-and-flow-of-box-office-receipts-over-past-20-years/#comment-49846</guid>
		<description>It&#039;s pretty, but I&#039;m not sure it&#039;s not too pretty. One thing
which surprises me is that it seems to show a film as
peaking some time after it opens, and not on the first
weekend.

It&#039;s possible this is just an artifact of the smooth spline
they used, but still it&#039;s misleading and therefore a bad
visualization. But really I think it&#039;s wrong. Look at that
last big movie on there, National Treasure. It&#039;s biggest
daily gross is on opening day (Friday 12/21). The graph clearly
doesn&#039;t read that way. The label &quot;Dec&quot; is clearly centered
on the month, so the &quot;e&quot; is about on the 15th, so that peak
is probably on the 21st. So why the smooth ramp up which is
at least a week long, if not longer if you count the hidden
bit. Only sampling on weekends and then fitting a smooth
spline is a BAD visualization!

It doesn&#039;t help that when you mouse over a film you don&#039;t
see the whole &quot;shape&quot; of that film, as previously noted.</description>
		<content:encoded><![CDATA[<p>It&#8217;s pretty, but I&#8217;m not sure it&#8217;s not too pretty. One thing<br />
which surprises me is that it seems to show a film as<br />
peaking some time after it opens, and not on the first<br />
weekend.</p>
<p>It&#8217;s possible this is just an artifact of the smooth spline<br />
they used, but still it&#8217;s misleading and therefore a bad<br />
visualization. But really I think it&#8217;s wrong. Look at that<br />
last big movie on there, National Treasure. It&#8217;s biggest<br />
daily gross is on opening day (Friday 12/21). The graph clearly<br />
doesn&#8217;t read that way. The label &#8220;Dec&#8221; is clearly centered<br />
on the month, so the &#8220;e&#8221; is about on the 15th, so that peak<br />
is probably on the 21st. So why the smooth ramp up which is<br />
at least a week long, if not longer if you count the hidden<br />
bit. Only sampling on weekends and then fitting a smooth<br />
spline is a BAD visualization!</p>
<p>It doesn&#8217;t help that when you mouse over a film you don&#8217;t<br />
see the whole &#8220;shape&#8221; of that film, as previously noted.</p>
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		<title>By: Dave</title>
		<link>http://flowingdata.com/2008/02/25/ebb-and-flow-of-box-office-receipts-over-past-20-years/#comment-49845</link>
		<dc:creator>Dave</dc:creator>
		<pubDate>Mon, 25 Feb 2008 22:55:00 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/2008/02/25/ebb-and-flow-of-box-office-receipts-over-past-20-years/#comment-49845</guid>
		<description>It&#039;s interesting that you can almost see that the post peak slopes are sharper starting in the 90&#039;s when the average run in a theater got much shorter.</description>
		<content:encoded><![CDATA[<p>It&#8217;s interesting that you can almost see that the post peak slopes are sharper starting in the 90&#8242;s when the average run in a theater got much shorter.</p>
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		<title>By: Bruce Nash</title>
		<link>http://flowingdata.com/2008/02/25/ebb-and-flow-of-box-office-receipts-over-past-20-years/#comment-49844</link>
		<dc:creator>Bruce Nash</dc:creator>
		<pubDate>Mon, 25 Feb 2008 22:24:00 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/2008/02/25/ebb-and-flow-of-box-office-receipts-over-past-20-years/#comment-49844</guid>
		<description>&gt;&gt;&gt; You might also have noticed that the flows get a lot bigger as you move forward in time, even though the numbers are adjusted for inflation. Strange. I wonder why that is. &lt;&lt;&lt;

Interesting question.  Ticket sales did rise through the 1980s, but sales have basically been flat since 1998 (see, http://www.the-numbers.com/market/ and http://www.natoonline.org/statisticsadmissions.htm), so the apparent growth could stem from a number of factors.

1. Maybe the figures are adjusted for retail inflation, not ticket price inflation (which has been slightly steeper over the years, I believe)?  It&#039;s not clear from the description, but given that the top-grossing movie in their chart made an inflation-adjusted $862 million, and my numbers have Titanic making $863 million ( http://www.the-numbers.com/movies/records/inflation.php ), I think they probably are using ticket prices.

2. Maybe the growth really occurs between 1986 and 1998, and it&#039;s actually pretty flat from then onwards.

3. It still looks to me as though there&#039;s growth after 1998, and I think that&#039;s because the studios have concentrated more of their resources at key times of the year -- the Christmas Holidays, and Summer Holidays in particular.  So the peaks are higher on the graph, the troughs are a little lower.

One criticism of the chart is that it&#039;s hard to actually measure these peaks and troughs.  It would be nice if they provided a background scale.

Regarding the placement of each movie (top or bottom), it looks to me as though they place each new movie on which side of the graph is smaller at the time it was released.  That&#039;s probably the simplest rule to keep everything in balance.

Nice site, by the way!

Bruce</description>
		<content:encoded><![CDATA[<p>&gt;&gt;&gt; You might also have noticed that the flows get a lot bigger as you move forward in time, even though the numbers are adjusted for inflation. Strange. I wonder why that is. &lt;&lt;&lt;</p>
<p>Interesting question.  Ticket sales did rise through the 1980s, but sales have basically been flat since 1998 (see, <a href="http://www.the-numbers.com/market/" rel="nofollow">http://www.the-numbers.com/market/</a> and <a href="http://www.natoonline.org/statisticsadmissions.htm" rel="nofollow">http://www.natoonline.org/statisticsadmissions.htm</a>), so the apparent growth could stem from a number of factors.</p>
<p>1. Maybe the figures are adjusted for retail inflation, not ticket price inflation (which has been slightly steeper over the years, I believe)?  It&#8217;s not clear from the description, but given that the top-grossing movie in their chart made an inflation-adjusted $862 million, and my numbers have Titanic making $863 million ( <a href="http://www.the-numbers.com/movies/records/inflation.php" rel="nofollow">http://www.the-numbers.com/mov.....lation.php</a> ), I think they probably are using ticket prices.</p>
<p>2. Maybe the growth really occurs between 1986 and 1998, and it&#8217;s actually pretty flat from then onwards.</p>
<p>3. It still looks to me as though there&#8217;s growth after 1998, and I think that&#8217;s because the studios have concentrated more of their resources at key times of the year &#8212; the Christmas Holidays, and Summer Holidays in particular.  So the peaks are higher on the graph, the troughs are a little lower.</p>
<p>One criticism of the chart is that it&#8217;s hard to actually measure these peaks and troughs.  It would be nice if they provided a background scale.</p>
<p>Regarding the placement of each movie (top or bottom), it looks to me as though they place each new movie on which side of the graph is smaller at the time it was released.  That&#8217;s probably the simplest rule to keep everything in balance.</p>
<p>Nice site, by the way!</p>
<p>Bruce</p>
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		<title>By: Nathan Yau</title>
		<link>http://flowingdata.com/2008/02/25/ebb-and-flow-of-box-office-receipts-over-past-20-years/#comment-49843</link>
		<dc:creator>Nathan Yau</dc:creator>
		<pubDate>Mon, 25 Feb 2008 21:33:00 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/2008/02/25/ebb-and-flow-of-box-office-receipts-over-past-20-years/#comment-49843</guid>
		<description>I haven&#039;t seen any other formal naming of the chart other than ThemeRiver in the paper linked in the post... the baby name wizard, however, is known as a stack graph.</description>
		<content:encoded><![CDATA[<p>I haven&#8217;t seen any other formal naming of the chart other than ThemeRiver in the paper linked in the post&#8230; the baby name wizard, however, is known as a stack graph.</p>
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		<title>By: nick</title>
		<link>http://flowingdata.com/2008/02/25/ebb-and-flow-of-box-office-receipts-over-past-20-years/#comment-49842</link>
		<dc:creator>nick</dc:creator>
		<pubDate>Mon, 25 Feb 2008 20:32:00 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/2008/02/25/ebb-and-flow-of-box-office-receipts-over-past-20-years/#comment-49842</guid>
		<description>does anyone know what this type of graph is called, or a program that can create them?

a similar, if less elegant visualization demonstrating frequency of baby names:
http://babynamewizard.com/namevoyager/lnv0105.html</description>
		<content:encoded><![CDATA[<p>does anyone know what this type of graph is called, or a program that can create them?</p>
<p>a similar, if less elegant visualization demonstrating frequency of baby names:<br />
<a href="http://babynamewizard.com/namevoyager/lnv0105.html" rel="nofollow">http://babynamewizard.com/namevoyager/lnv0105.html</a></p>
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