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	<title>Comments on: The Geography of Netflix Rentals</title>
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	<link>http://flowingdata.com/2010/01/11/the-geography-of-netflix-rentals/</link>
	<description>Strength in Numbers</description>
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		<title>By: Favoriter pÃ¥ nÃ¤tet &#8211; January 25, 2010</title>
		<link>http://flowingdata.com/2010/01/11/the-geography-of-netflix-rentals/#comment-38406</link>
		<dc:creator>Favoriter pÃ¥ nÃ¤tet &#8211; January 25, 2010</dc:creator>
		<pubDate>Mon, 25 Jan 2010 12:08:16 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=4759#comment-38406</guid>
		<description>[...] The Geography of Netflix Rentals- New York Times gÃ¶r grafik som visar hur populÃ¤ra filmer Ã¤r i olika regioner. En rolig idÃ© med ett fantastiskt utfÃ¶rande. [...]</description>
		<content:encoded><![CDATA[<p>[...] The Geography of Netflix Rentals- New York Times gÃ¶r grafik som visar hur populÃ¤ra filmer Ã¤r i olika regioner. En rolig idÃ© med ett fantastiskt utfÃ¶rande. [...]</p>
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		<title>By: Jeff Weir</title>
		<link>http://flowingdata.com/2010/01/11/the-geography-of-netflix-rentals/#comment-38276</link>
		<dc:creator>Jeff Weir</dc:creator>
		<pubDate>Fri, 22 Jan 2010 05:04:26 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=4759#comment-38276</guid>
		<description>Looks like an opportunity missed to me. As I commented over at the Junk Charts blog, It would be interesting to see correlations between types of movies rented and some socio-economic factors. Here an xy graph would really shine. And it would be interesting to see how strongly rental rank was correlated with metascore (i.e. critical rank). The average metascore of the top 20 rentals was 59.85; compared to (gasp) 59 for the bottom 20 rentals.</description>
		<content:encoded><![CDATA[<p>Looks like an opportunity missed to me. As I commented over at the Junk Charts blog, It would be interesting to see correlations between types of movies rented and some socio-economic factors. Here an xy graph would really shine. And it would be interesting to see how strongly rental rank was correlated with metascore (i.e. critical rank). The average metascore of the top 20 rentals was 59.85; compared to (gasp) 59 for the bottom 20 rentals.</p>
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		<title>By: Favoriter pÃ¥ nÃ¤tet &#8211; January 21, 2010</title>
		<link>http://flowingdata.com/2010/01/11/the-geography-of-netflix-rentals/#comment-38260</link>
		<dc:creator>Favoriter pÃ¥ nÃ¤tet &#8211; January 21, 2010</dc:creator>
		<pubDate>Thu, 21 Jan 2010 20:49:23 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=4759#comment-38260</guid>
		<description>[...] The Geography of Netflix Rentals- New York Times gÃ¶r grafik som visar hur populÃ¤ra filmer Ã¤r i olika regioner. En rolig idÃ© med ett fantastiskt utfÃ¶rande. [...]</description>
		<content:encoded><![CDATA[<p>[...] The Geography of Netflix Rentals- New York Times gÃ¶r grafik som visar hur populÃ¤ra filmer Ã¤r i olika regioner. En rolig idÃ© med ett fantastiskt utfÃ¶rande. [...]</p>
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	<item>
		<title>By: numbersguy</title>
		<link>http://flowingdata.com/2010/01/11/the-geography-of-netflix-rentals/#comment-38213</link>
		<dc:creator>numbersguy</dc:creator>
		<pubDate>Tue, 19 Jan 2010 23:31:02 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=4759#comment-38213</guid>
		<description>This map (the NYTimes version) was covered by my local news when it came out. They just mentioned the Seattle area and not the nation, but still... cool.

Anyway one thing I think would be cool is if you could &quot;reverse&quot; it. If you could enter the movies YOU watched over the past year and have netflix tell you where you should live. &quot;Your rental queue is most like those in zipcode 54321.&quot;

Going one step further, doing a visualization on THAT... namely assuming 10% of people rent movies out of line with their zipcode and that those 10% have zero &quot;friction&quot; in moving... how long would take for this &quot;resettlement&quot; process to stabilize?</description>
		<content:encoded><![CDATA[<p>This map (the NYTimes version) was covered by my local news when it came out. They just mentioned the Seattle area and not the nation, but still&#8230; cool.</p>
<p>Anyway one thing I think would be cool is if you could &#8220;reverse&#8221; it. If you could enter the movies YOU watched over the past year and have netflix tell you where you should live. &#8220;Your rental queue is most like those in zipcode 54321.&#8221;</p>
<p>Going one step further, doing a visualization on THAT&#8230; namely assuming 10% of people rent movies out of line with their zipcode and that those 10% have zero &#8220;friction&#8221; in moving&#8230; how long would take for this &#8220;resettlement&#8221; process to stabilize?</p>
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		<title>By: Favoriter pÃ¥ nÃ¤tet &#8211; January 17, 2010</title>
		<link>http://flowingdata.com/2010/01/11/the-geography-of-netflix-rentals/#comment-38186</link>
		<dc:creator>Favoriter pÃ¥ nÃ¤tet &#8211; January 17, 2010</dc:creator>
		<pubDate>Sun, 17 Jan 2010 21:21:48 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=4759#comment-38186</guid>
		<description>[...] The Geography of Netflix Rentals- New York Times gÃ¶r grafik som visar hur populÃ¤ra filmer Ã¤r i olika regioner. En rolig idÃ© med ett fantastiskt utfÃ¶rande. [...]</description>
		<content:encoded><![CDATA[<p>[...] The Geography of Netflix Rentals- New York Times gÃ¶r grafik som visar hur populÃ¤ra filmer Ã¤r i olika regioner. En rolig idÃ© med ett fantastiskt utfÃ¶rande. [...]</p>
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		<title>By: Netflix vs Google Maps via NY Times &#171; Bytes Hotdish</title>
		<link>http://flowingdata.com/2010/01/11/the-geography-of-netflix-rentals/#comment-38178</link>
		<dc:creator>Netflix vs Google Maps via NY Times &#171; Bytes Hotdish</dc:creator>
		<pubDate>Sun, 17 Jan 2010 08:28:47 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=4759#comment-38178</guid>
		<description>[...] (ranked #2 in 55408) than it was up in the northern suburbs (#26 in 55443). Â As pointed out byÂ Nathan at FlowingData.com, there was an interesting split in the DC area over rentals ofÂ Frost/Nixon [...]</description>
		<content:encoded><![CDATA[<p>[...] (ranked #2 in 55408) than it was up in the northern suburbs (#26 in 55443). Â As pointed out byÂ Nathan at FlowingData.com, there was an interesting split in the DC area over rentals ofÂ Frost/Nixon [...]</p>
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	<item>
		<title>By: com3.es &#124; Best in Blogs: Words of Year/Decade; Conan&#8217;s Meme Team; Tweeting for Haiti</title>
		<link>http://flowingdata.com/2010/01/11/the-geography-of-netflix-rentals/#comment-38143</link>
		<dc:creator>com3.es &#124; Best in Blogs: Words of Year/Decade; Conan&#8217;s Meme Team; Tweeting for Haiti</dc:creator>
		<pubDate>Fri, 15 Jan 2010 11:02:44 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=4759#comment-38143</guid>
		<description>[...] zip code in 10 cities. &#8220;Great job, NYT. I think I just spent a good hour browsing this one. How&#8217;s that for engaging data?&#8221; says Flowing Data. FD and NewTeeVee are both all over the data with screen grabs of the most [...]</description>
		<content:encoded><![CDATA[<p>[...] zip code in 10 cities. &#8220;Great job, NYT. I think I just spent a good hour browsing this one. How&#8217;s that for engaging data?&#8221; says Flowing Data. FD and NewTeeVee are both all over the data with screen grabs of the most [...]</p>
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		<title>By: Nathan Yau</title>
		<link>http://flowingdata.com/2010/01/11/the-geography-of-netflix-rentals/#comment-38052</link>
		<dc:creator>Nathan Yau</dc:creator>
		<pubDate>Tue, 12 Jan 2010 18:23:39 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=4759#comment-38052</guid>
		<description>The graphic says Netflix provided the data, so I&#039;m guessing no, unfortunately.</description>
		<content:encoded><![CDATA[<p>The graphic says Netflix provided the data, so I&#8217;m guessing no, unfortunately.</p>
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		<title>By: Pete</title>
		<link>http://flowingdata.com/2010/01/11/the-geography-of-netflix-rentals/#comment-38051</link>
		<dc:creator>Pete</dc:creator>
		<pubDate>Tue, 12 Jan 2010 18:17:37 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=4759#comment-38051</guid>
		<description>Did Netflix release this data?  I didn&#039;t see that mentioned in the NYT article.  I would like to do my own analysis.</description>
		<content:encoded><![CDATA[<p>Did Netflix release this data?  I didn&#8217;t see that mentioned in the NYT article.  I would like to do my own analysis.</p>
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		<title>By: Shaun</title>
		<link>http://flowingdata.com/2010/01/11/the-geography-of-netflix-rentals/#comment-38041</link>
		<dc:creator>Shaun</dc:creator>
		<pubDate>Tue, 12 Jan 2010 05:05:58 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=4759#comment-38041</guid>
		<description>Nice post, Nathan.  As Eduardo suggested, I would definitely like to see some temporal information to be able to assess the dynamic of rentals.  Perhaps to see where &quot;hot spots&quot; start and the subsequent &quot;ripples&quot;.

Does anyone know if the Netflix recommendation engine utilizes geographic information. The geographic segmentation across various movies definitely suggests it should be used.</description>
		<content:encoded><![CDATA[<p>Nice post, Nathan.  As Eduardo suggested, I would definitely like to see some temporal information to be able to assess the dynamic of rentals.  Perhaps to see where &#8220;hot spots&#8221; start and the subsequent &#8220;ripples&#8221;.</p>
<p>Does anyone know if the Netflix recommendation engine utilizes geographic information. The geographic segmentation across various movies definitely suggests it should be used.</p>
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