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    <title>Pinboard (infovore)</title>
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    <description>recent bookmarks from infovore</description>
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      <rdf:Seq>	<rdf:li rdf:resource="http://dataspora.com/blog/the-seven-secrets-of-successful-data-scientists/"/>
	<rdf:li rdf:resource="http://dataspora.com/blog/sexy-data-geeks/"/>
	<rdf:li rdf:resource="http://blog.chrislowis.co.uk/2008/12/01/curve-fit-with-ruby-gsl.html"/>
	<rdf:li rdf:resource="http://frumin.net/ation/2008/11/what_i_did_last_summer.html"/>
	<rdf:li rdf:resource="http://www.dreamdawn.com/sh/features/sales_vs_score.php"/>
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  </channel><item rdf:about="http://dataspora.com/blog/the-seven-secrets-of-successful-data-scientists/">
    <title>The Seven Secrets of Successful Data Scientists : Dataspora Blog</title>
    <dc:date>2010-09-03T09:18:24+00:00</dc:date>
    <link>http://dataspora.com/blog/the-seven-secrets-of-successful-data-scientists/</link>
    <dc:creator>infovore</dc:creator><description><![CDATA["...don’t confuse this kind of data exploration, where the goal is to size up the data, with building proper data plumbing, where you want robustness and maintainability. Perl and bash scripts are nice for the former, but can be a nightmare for building data pipelines." Lots of good stuff in this article; this was a highlight.
]]></description>
<dc:subject>bigdata data datamining statistics machinelearning</dc:subject>
<dc:identifier>https://pinboard.in/u:infovore/b:33d020ec7bef/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:infovore/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:infovore/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:infovore/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:infovore/t:statistics"/>
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<item rdf:about="http://dataspora.com/blog/sexy-data-geeks/">
    <title>The Three Sexy Skills of Data Geeks : Dataspora Blog</title>
    <dc:date>2009-06-05T17:10:48+00:00</dc:date>
    <link>http://dataspora.com/blog/sexy-data-geeks/</link>
    <dc:creator>infovore</dc:creator><description><![CDATA["Statisticians’ sex appeal has little to do with their lascivious leanings ... and more with the scarcity of their skills.  I believe that the folks to whom Hal Varian is referring are not statisticians in the narrow sense, but rather people who possess skills in three key, yet independent areas:  statistics, data munging, and data visualization.  (In parentheses next to each, I’ve put the salient character trait needed to acquire it)."
]]></description>
<dc:subject>data analytics visualization statistics datamining maths analysis trends</dc:subject>
<dc:identifier>https://pinboard.in/u:infovore/b:2f6ee2c92d42/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:infovore/t:data"/>
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<item rdf:about="http://blog.chrislowis.co.uk/2008/12/01/curve-fit-with-ruby-gsl.html">
    <title>Fitting curves to data using Ruby and the GNU Scientific Library</title>
    <dc:date>2008-12-08T14:25:40+00:00</dc:date>
    <link>http://blog.chrislowis.co.uk/2008/12/01/curve-fit-with-ruby-gsl.html</link>
    <dc:creator>infovore</dc:creator><description><![CDATA["If you need to perform data analysis, provide graphics for your users in your webapp, or produce high quality plots I encourage you to investigate the combination of ruby, GSL and GNUPlot." Looks good. I should probably give this a poke some time; could come in handy.
]]></description>
<dc:subject>gsl graphing plotting data analysis statistics ruby visualisation</dc:subject>
<dc:identifier>https://pinboard.in/u:infovore/b:1c8e30be8b49/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:infovore/t:gsl"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:infovore/t:ruby"/>
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<item rdf:about="http://frumin.net/ation/2008/11/what_i_did_last_summer.html">
    <title>You Know What I Did Last Summer? (Frumination)</title>
    <dc:date>2008-11-08T13:09:10+00:00</dc:date>
    <link>http://frumin.net/ation/2008/11/what_i_did_last_summer.html</link>
    <dc:creator>infovore</dc:creator><description><![CDATA["I spent 10 weeks last Summer as an intern on the strategy team of Transport for London's (TfL) London Rail division.... My general task was to help London Rail start to make use of the oceans of data spewing out of the Oyster smartcard ticketing system, but I spent the bulk of my time working on a project that came to be titled Oyster-Based Performance Metrics for the London Overground. I've posted my final report and slides and outline for the presentation I gave to TfL executive management." Some interesting data and information here.
]]></description>
<dc:subject>travel tfl statistics oyster overground data graphs</dc:subject>
<dc:identifier>https://pinboard.in/u:infovore/b:296e971bf167/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:infovore/t:travel"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:infovore/t:oyster"/>
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<item rdf:about="http://www.dreamdawn.com/sh/features/sales_vs_score.php">
    <title>Chris' Survival Horror Quest</title>
    <dc:date>2008-09-22T14:36:03+00:00</dc:date>
    <link>http://www.dreamdawn.com/sh/features/sales_vs_score.php</link>
    <dc:creator>infovore</dc:creator><description><![CDATA["Some people believe that there's no correlation between quality and sales, and thus think that the way to make money is to make things that are easily marketable (read: licenses). Game developers themselves usually argue that sales above a certain level require a game to be sufficient quality. I decided to see which of these perspectives was correct for the Playstation 2 era." Datanalysismachinego!
]]></description>
<dc:subject>data visualization statistics sales games quality analysis</dc:subject>
<dc:identifier>https://pinboard.in/u:infovore/b:dd5aff20a20e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:infovore/t:data"/>
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</item>
<item rdf:about="http://flowingdata.com/2008/09/09/winner-of-the-personal-visualization-project-is/">
    <title>Winner of the Personal Visualization Project is… | FlowingData</title>
    <dc:date>2008-09-10T10:01:16+00:00</dc:date>
    <link>http://flowingdata.com/2008/09/09/winner-of-the-personal-visualization-project-is/</link>
    <dc:creator>infovore</dc:creator><description><![CDATA["The winner is Tim Graham who took manual personal data collection to another level. From email spam, to beverage consumption, to aches and pains, Tim embraced the spirit of self-surveillance. He even made his personal data available in the forums." Dataviz overload!
]]></description>
<dc:subject>information infoviz dataviz statistics reporting data analysis personal</dc:subject>
<dc:identifier>https://pinboard.in/u:infovore/b:019422cfc5c1/</dc:identifier>
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<item rdf:about="http://bookmooch.com/api/feeds">
    <title>Data Feeds at BookMooch</title>
    <dc:date>2008-02-23T21:37:22+00:00</dc:date>
    <link>http://bookmooch.com/api/feeds</link>
    <dc:creator>infovore</dc:creator><description><![CDATA[Wow. Bookmooch has some seriously comprehensive data available from it, if you fancing munging their entire dataset (security-sanitised, obviously).
]]></description>
<dc:subject>bookmooch data api xml statistics</dc:subject>
<dc:identifier>https://pinboard.in/u:infovore/b:08aba34434bf/</dc:identifier>
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