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<title>FlowingData Forums &#187; Tag: iTunes - Recent Topics</title>
<link>http://forums.flowingdata.com/</link>
<description>Strength in Numbers</description>
<language>en</language>
<pubDate>Sat, 11 Feb 2012 20:32:22 +0000</pubDate>

<item>
<title>Tracking music-play statistics via iTunes?</title>
<link>http://forums.flowingdata.com/topic/tracking-music-play-statistics-via-itunes#post-1271</link>
<pubDate>Wed, 11 Nov 2009 04:24:20 +0000</pubDate>
<dc:creator>artik</dc:creator>
<guid isPermaLink="false">1271@http://forums.flowingdata.com/</guid>
<description>&#60;p&#62;I'm looking to analyze the music I listen to over a period of time. Not so much stats on artists, genres, ratings or song-lengths, but more as an exercise to discern a pattern in my listening preferences over time (say beginning of week vs end of week, particular times of the day, music to accompany my daily commute).&#60;/p&#62;
&#60;p&#62;I did find an article that had a few promising links (&#60;a href=&#34;http://www.tunequest.org/a-look-at-itunes-statistics-options/20060904/&#34; rel=&#34;nofollow&#34;&#62;http://www.tunequest.org/a-look-at-itunes-statistics-options/20060904/&#60;/a&#62;). &#60;/p&#62;
&#60;p&#62;The problem with most of the software linked to in the article was that it did not give me statistics or analysis over time. This could be a problem with the depth of data available in the iTunes XML file, but I'd be willing to sync my iPhone/iPod every day for a month or two, if that's what is needed. &#60;/p&#62;
&#60;p&#62;I considered using yfd, but I'm concerned that given the amount of time I listen to music at work, it might cause severe disruptions in my work day if I had to tweet every time I make a conscious song/artist/genre choice.&#60;/p&#62;
&#60;p&#62;Your thoughts?
&#60;/p&#62;</description>
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