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    <title>Pinboard (guardiantech)</title>
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    <description>recent bookmarks from guardiantech</description>
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      <rdf:Seq>	<rdf:li rdf:resource="http://arstechnica.com/gaming/2014/04/introducing-steam-gauge-ars-reveals-steams-most-popular-games/"/>
	<rdf:li rdf:resource="http://www.niemanlab.org/2011/10/word-clouds-considered-harmful/"/>
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  </channel><item rdf:about="http://arstechnica.com/gaming/2014/04/introducing-steam-gauge-ars-reveals-steams-most-popular-games/">
    <title>Introducing Steam Gauge: Ars reveals Steam’s most popular games &gt;&gt; Ars Technica</title>
    <dc:date>2014-04-17T20:43:53+00:00</dc:date>
    <link>http://arstechnica.com/gaming/2014/04/introducing-steam-gauge-ars-reveals-steams-most-popular-games/</link>
    <dc:creator>guardiantech</dc:creator><description><![CDATA[Kyle Orland: <blockquote>Right now, I can tell you that about 37% of the roughly 781m games registered to various Steam accounts haven’t even been loaded a single time. I can tell you that Steam users have put an aggregate of about 3.8bn hours into Dota 2. I can tell you that Steam users tend to put nearly 600% more time into the multiplayer mode on Modern Warfare 2 than the single player mode.<p>

Basically, I can give you an idea of how any of the thousands of games on Steam have performed, both in terms of sales and gameplay hours.</blockquote>

An amazing piece of data-driven journalism that wouldn't have been feasible or affordable (because of its processing demand) even a few years ago.]]></description>
<dc:subject>steam datajournalism</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:guardiantech/b:76243798e2c1/</dc:identifier>
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<item rdf:about="http://www.niemanlab.org/2011/10/word-clouds-considered-harmful/">
    <title>Word clouds considered harmful &gt;&gt; Nieman Journalism Lab</title>
    <dc:date>2011-10-16T19:44:26+00:00</dc:date>
    <link>http://www.niemanlab.org/2011/10/word-clouds-considered-harmful/</link>
    <dc:creator>guardiantech</dc:creator><description><![CDATA[
                
                    Jacob Harris of the New York Times doesn't like word clouds: "When looking at the word cloud of the War Logs, does the equal sizing of the words “car” and “blast” indicate a large number of reports about car bombs or just many reports about cars or explosions? How do I compare the relative frequency of lesser-used words? Also, doesn’t focusing on the occurrence of specific words instead of concepts or themes miss the fact that different reports about truck bombs might be use the words “truck,” “vehicle,” or even “bongo” (since the Kia Bongo is very popular in Iraq)?

"Of course, the biggest problem with word clouds is that they are often applied to situations where textual analysis is not appropriate. One could argue that word clouds make sense when the point is to specifically analyze word usage (though I’d still suggest alternatives), but it’s ludicrous to make sense of a complex topic like the Iraq War by looking only at the words used to describe the events."
                
            ]]></description>
<dc:subject>charlesarthur wordle datajournalism visualisation</dc:subject>
<dc:identifier>https://pinboard.in/u:guardiantech/b:450bdd8caa42/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:guardiantech/t:datajournalism"/>
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<item rdf:about="http://www.guardian.co.uk/news/datablog/interactive/2011/jun/28/health-map-england">
    <title>England's health data mapped &gt;&gt; guardian.co.uk</title>
    <dc:date>2011-06-28T22:07:54+00:00</dc:date>
    <link>http://www.guardian.co.uk/news/datablog/interactive/2011/jun/28/health-map-england</link>
    <dc:creator>guardiantech</dc:creator><description><![CDATA[This is really interesting to play with. Uses data from public health observatories - who had hell's own fight a few years ago trying to publish data on Ordnance Survey maps online. Now: fixed.]]></description>
<dc:subject>charlesarthur opendata datajournalism</dc:subject>
<dc:identifier>https://pinboard.in/u:guardiantech/b:8b349a7e708f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:guardiantech/t:charlesarthur"/>
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<item rdf:about="http://blogs.journalism.co.uk/editors/2011/05/20/five-great-examples-of-data-journalism-using-google-fusion-tables/">
    <title>Five great examples of data journalism using Google Fusion Tables &gt;&gt; Journalism.co.uk</title>
    <dc:date>2011-06-06T14:20:54+00:00</dc:date>
    <link>http://blogs.journalism.co.uk/editors/2011/05/20/five-great-examples-of-data-journalism-using-google-fusion-tables/</link>
    <dc:creator>guardiantech</dc:creator><description><![CDATA["Google Fusion Tables allows you to create data visualisations including maps, graphs and timelines. It is currently in beta but is already being used by many journalists, including some from key news sites leading the way in data journalism." <br />
<br />
Neat, and not just because two of them involve The Guardian.]]></description>
<dc:subject>charlesarthur data google journalism datajournalism maps</dc:subject>
<dc:identifier>https://pinboard.in/u:guardiantech/b:990839818271/</dc:identifier>
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