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	<title>Data &#38; Stuff // Neil Houston &#187; nytimes</title>
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	<link>http://rasga.co.uk</link>
	<description>Yeap, data and stuff</description>
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		<title>Spotted: October 19th &#8211; October 25th</title>
		<link>http://rasga.co.uk/2010/10/25/spotted-october-19th-october-25th/</link>
		<comments>http://rasga.co.uk/2010/10/25/spotted-october-19th-october-25th/#comments</comments>
		<pubDate>Mon, 25 Oct 2010 20:00:52 +0000</pubDate>
		<dc:creator>Neil H</dc:creator>
				<category><![CDATA[Visualisation]]></category>
		<category><![CDATA[business]]></category>
		<category><![CDATA[crowdsourcing]]></category>
		<category><![CDATA[Data]]></category>
		<category><![CDATA[forthesite]]></category>
		<category><![CDATA[future]]></category>
		<category><![CDATA[infochimps]]></category>
		<category><![CDATA[journalism]]></category>
		<category><![CDATA[news]]></category>
		<category><![CDATA[nytimes]]></category>
		<category><![CDATA[paywall]]></category>
		<category><![CDATA[research]]></category>
		<category><![CDATA[resources]]></category>
		<category><![CDATA[stockmarket]]></category>
		<category><![CDATA[twitter]]></category>

		<guid isPermaLink="false">http://rasga.co.uk/?p=367</guid>
		<description><![CDATA[Spotted: October 19th &#8211; October 25th:

Help Me Investigate &#8211; anatomy of an investigation  &#124; Online Journalism Blog &#8211; Paul Bradshaw and Andy Brightwell conducted some research into one of the successful investigations on the crowdsourcing platform Help Me Investigate.  This looks at how that investigation worked, and might assist others.
Data-as-a-Service: Factual, InfoChimps &#38; [...]]]></description>
			<content:encoded><![CDATA[<p>Spotted: October 19th &#8211; October 25th:</p>
<ul>
<li><a href="http://onlinejournalismblog.com/2010/10/22/help-me-investigate-anatomy-of-an-investigation/">Help Me Investigate &ndash; anatomy of an investigation  | Online Journalism Blog</a> &#8211; Paul Bradshaw and Andy Brightwell conducted some research into one of the successful investigations on the crowdsourcing platform Help Me Investigate.  This looks at how that investigation worked, and might assist others.</li>
<li><a href="http://gigaom.com/collaboration/data-as-a-service-factual-infochimps-google-squared/">Data-as-a-Service: Factual, InfoChimps &amp; Google Squared: Business Collaboration News &laquo;</a> &#8211; In 2004, Tim O&rsquo;Reilly&rsquo;s famous&nbsp;Web 2.0 manifesto suggested that &ldquo;data would be the next Intel Inside,&rdquo; and that any Internet service of significance would be underpinned by specialized datasets, such as Amazon&rsquo;s product database or Foursquare&rsquo;s places.</li>
<li><a href="http://www.mediapost.com/publications/?fa=Articles.showArticle&amp;art_aid=137981">MediaPost Publications Times Offers Details On &#8216;Metered-Model&#8217; During Earnings Call 10/20/2010</a> &#8211; Meanwhile, the so-called &quot;metered model&quot; will allow readers who are referred from third-party sites such as blogs, social media networks and search engines access to specific content &quot;without triggering the gate, which will preserve NYTimes.com&#39;s significant reach and advertising inventory,&quot; according to Robinson.</li>
<li><a href="http://www.entrepreneurcountry.net/articles/news-views-and-issues/451-can-twitter-predict-the-stock-market">Can Twitter predict the stock market?</a> &#8211; A new research study suggests that comments posted on the social networking site Twitter can predict swings in the US Dow Jones market.</li>
<li><a href="http://cloud.gigaom.com/2010/10/13/big-opportunities-await-companies-that-can-analyze-big-data/?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed:%20OmMalik%20(GigaOM)">Big Money for Companies That Can Analyze Big Data</a> &#8211; As data volumes skyrocket, startups looking to take advantage of the opportunity in Big Data need to focus on the art of statistical-learning algorithms, says Michael Driscoll, founder of Dataspora</li>
</ul>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Spotted: May 3rd &#8211; May 5th</title>
		<link>http://rasga.co.uk/2010/05/05/spotted-may-3rd-may-5th/</link>
		<comments>http://rasga.co.uk/2010/05/05/spotted-may-3rd-may-5th/#comments</comments>
		<pubDate>Wed, 05 May 2010 13:08:48 +0000</pubDate>
		<dc:creator>Neil H</dc:creator>
				<category><![CDATA[Visualisation]]></category>
		<category><![CDATA[aggregation]]></category>
		<category><![CDATA[analysis]]></category>
		<category><![CDATA[Data]]></category>
		<category><![CDATA[dataset]]></category>
		<category><![CDATA[events]]></category>
		<category><![CDATA[forthesite]]></category>
		<category><![CDATA[google]]></category>
		<category><![CDATA[graph]]></category>
		<category><![CDATA[influence]]></category>
		<category><![CDATA[network]]></category>
		<category><![CDATA[nytimes]]></category>
		<category><![CDATA[paper]]></category>
		<category><![CDATA[politics]]></category>
		<category><![CDATA[realtime]]></category>
		<category><![CDATA[research]]></category>
		<category><![CDATA[social]]></category>
		<category><![CDATA[stamen]]></category>
		<category><![CDATA[tools]]></category>
		<category><![CDATA[twitter]]></category>
		<category><![CDATA[visualization]]></category>

		<guid isPermaLink="false">http://rasga.co.uk/?p=307</guid>
		<description><![CDATA[Spotted: May 3rd &#8211; May 5th:

Google &#8211; General Elections 2010 &#8211; From Google, some good coverage of UK websites (Openly Local etc).  Britain is going to the polls, and the internet is a great resource to help you make your decision. Quickly find out your MP and candidates below, with links to their blogs [...]]]></description>
			<content:encoded><![CDATA[<p>Spotted: May 3rd &#8211; May 5th:</p>
<ul>
<li><a href="http://www.google.co.uk/intl/en/landing/elections2010/mps/">Google &#8211; General Elections 2010</a> &#8211; From Google, some good coverage of UK websites (Openly Local etc).  Britain is going to the polls, and the internet is a great resource to help you make your decision. Quickly find out your MP and candidates below, with links to their blogs and Twitter pages. Then explore further, with fun and interesting election sites from around the web.</li>
<li><a href="http://www.nytimes.com/2010/05/02/magazine/02self-measurement-t.html?ex=1288152000&amp;en=8d528ddf6dfdeb10&amp;ei=5087&amp;WT.mc_id=GN-D-I-NYT-MOD-MOD-M147-ROS-0510-HDR&amp;WT.mc_ev=click">Magazine Preview &#8211; The Data-Driven Life &#8211; NYTimes.com</a> &#8211; An interesting look at people who track their life in great detail.</li>
<li><a href="http://trst.me/about">About &#8211; trst.me</a> &#8211; trst.me measures user reputation in a way far more robust than counting the number of followers. The basic idea is to look at how many people interact with you and give you their attention, weighted by how many people interact and pay attention to them</li>
<li><a href="http://eddy.stamen.com/index.html">Eddy &#8211; Stame Design</a> &#8211; Eddy is a media aggregation platform built for the public display of up-to-the-minute activity on realtime services like Twitter.  It was used by Stamen to curate the NBC Olympic coverage, pretty interesting.</li>
<li><a href="http://an.kaist.ac.kr/traces/WWW2010.html">What is Twitter, a Social Network or a News Media? &#8211; WWW&#8217;10</a> &#8211; Research into Twitter, based off crawling the user network and looking at relationships.  Touching on the thoughts of influence.</li>
</ul>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Spotted: April 14th &#8211; May 2nd</title>
		<link>http://rasga.co.uk/2010/05/02/spotted-april-14th-may-2nd/</link>
		<comments>http://rasga.co.uk/2010/05/02/spotted-april-14th-may-2nd/#comments</comments>
		<pubDate>Sun, 02 May 2010 20:02:20 +0000</pubDate>
		<dc:creator>Neil H</dc:creator>
				<category><![CDATA[Visualisation]]></category>
		<category><![CDATA[anywhere]]></category>
		<category><![CDATA[api]]></category>
		<category><![CDATA[blogs]]></category>
		<category><![CDATA[css]]></category>
		<category><![CDATA[design]]></category>
		<category><![CDATA[flash]]></category>
		<category><![CDATA[forthesite]]></category>
		<category><![CDATA[framework]]></category>
		<category><![CDATA[google]]></category>
		<category><![CDATA[grid]]></category>
		<category><![CDATA[ideas]]></category>
		<category><![CDATA[iphone]]></category>
		<category><![CDATA[layout]]></category>
		<category><![CDATA[nytimes]]></category>
		<category><![CDATA[programming]]></category>
		<category><![CDATA[socialmedia]]></category>
		<category><![CDATA[technology]]></category>
		<category><![CDATA[templates]]></category>
		<category><![CDATA[tools]]></category>
		<category><![CDATA[twitter]]></category>
		<category><![CDATA[visualization]]></category>
		<category><![CDATA[web]]></category>
		<category><![CDATA[webdesign]]></category>
		<category><![CDATA[webdev]]></category>

		<guid isPermaLink="false">http://rasga.co.uk/?p=294</guid>
		<description><![CDATA[Spotted: April 14th &#8211; May 2nd:

NY Times: Driving Shifts Into Reverse &#8211; An interesting visual about driving usuage/mileage, the kicker being the X axis is not displaying time.  &#60;br /&#62;
&#60;br /&#62;
Works surprisingly well
960 Grid System &#8211; The 960 Grid System is an effort to streamline web development workflow by providing commonly used dimensions, based [...]]]></description>
			<content:encoded><![CDATA[<p>Spotted: April 14th &#8211; May 2nd:</p>
<ul>
<li><a href="http://www.nytimes.com/imagepages/2010/05/02/business/02metrics.html?ref=business">NY Times: Driving Shifts Into Reverse</a> &#8211; An interesting visual about driving usuage/mileage, the kicker being the X axis is not displaying time.  &lt;br /&gt;<br />
&lt;br /&gt;<br />
Works surprisingly well</li>
<li><a href="http://960.gs/">960 Grid System</a> &#8211; The 960 Grid System is an effort to streamline web development workflow by providing commonly used dimensions, based on a width of 960 pixels. There are two variants: 12 and 16 columns, which can be used separately or in tandem.</li>
<li><a href="http://a.parsons.edu/~drumb588/tweetcatcha/">TweetCatcha v 1.0</a> &#8211; TweetCatcha seeks to uncover the organic nature of news as it travels through Twitter over time, by examining the movement of NY Times articles through Twitter.</li>
<li><a href="http://dev.twitter.com/">Create cool applications! | dev.twitter.com</a> &#8211; New application/dev area for twitter</li>
<li><a href="http://followfinder.googlelabs.com/">Follow Finder by Google</a> &#8211; Follow Finder analyzes public social graph information (following and follower lists) on Twitter to find people you might want to follow.</li>
</ul>
]]></content:encoded>
			<wfw:commentRss>http://rasga.co.uk/2010/05/02/spotted-april-14th-may-2nd/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Spotted: January 25th &#8211; February 11th</title>
		<link>http://rasga.co.uk/2010/02/11/spotted-january-25th-february-11th/</link>
		<comments>http://rasga.co.uk/2010/02/11/spotted-january-25th-february-11th/#comments</comments>
		<pubDate>Thu, 11 Feb 2010 01:09:40 +0000</pubDate>
		<dc:creator>Neil H</dc:creator>
				<category><![CDATA[Visualisation]]></category>
		<category><![CDATA[analysis]]></category>
		<category><![CDATA[Birmingham]]></category>
		<category><![CDATA[business]]></category>
		<category><![CDATA[Data]]></category>
		<category><![CDATA[feltron]]></category>
		<category><![CDATA[forthesite]]></category>
		<category><![CDATA[infographics]]></category>
		<category><![CDATA[information]]></category>
		<category><![CDATA[nytimes]]></category>
		<category><![CDATA[Parking]]></category>
		<category><![CDATA[report]]></category>
		<category><![CDATA[twitter]]></category>

		<guid isPermaLink="false">http://rasga.co.uk/?p=186</guid>
		<description><![CDATA[Spotted: January 25th &#8211; February 11th:

Twitter / Working at Twitter &#8211; Twitter are after recruiting people to assist with Data Visualisation &#8211; just shows a peak into what they may be thinking for the future.
New car park in illegal parking hotspot &#124; birminghamnewsroom.com &#8211; Birmingham City Council announce new parking area in most ticketed street [...]]]></description>
			<content:encoded><![CDATA[<p>Spotted: January 25th &#8211; February 11th:</p>
<ul>
<li><a href="http://twitter.com/job.html?jvi=ovGfVfw5,Job">Twitter / Working at Twitter</a> &#8211; Twitter are after recruiting people to assist with Data Visualisation &#8211; just shows a peak into what they may be thinking for the future.</li>
<li><a href="http://birminghamnewsroom.com/?p=7250">New car park in illegal parking hotspot | birminghamnewsroom.com</a> &#8211; Birmingham City Council announce new parking area in most ticketed street &#8211; interesting to note thst a carpark will be in place which will still equal tickets (as per Livery St Carpark, the second most ticketed spot in 2008-2009 in Birmingham)</li>
<li><a href="http://bits.blogs.nytimes.com/2010/02/09/an-annual-report-on-one-mans-life/">An Annual Report on One Man&rsquo;s Life &#8211; Bits Blog &#8211; NYTimes.com</a> &#8211; The NYTimes talks to Feltron, about his annual life reports.</li>
<li><a href="http://www.gartner.com/technology/media-products/reprints/tableau/article1/article1.html">Magic Quadrant for Business Intelligence Platforms</a> &#8211; A Gartner report, detailing the players within the Business Intelligence Market.  I&#39;m a fan of Tableau, from an analysis and ad-hoc point of view, and they get some good coverage.  Alongside other more familiar, and unfamiliar vendors. Worth a scan through.</li>
<li><a href="http://feltron.com/index.php?/content/2009_annual_report/">Nicholas Felton | Feltron.com</a> &#8211; Nicholas Feltron Report for 2009 &#8211; His life, as an infographic.  Also take a look at the others that have been produced since 2006.</li>
</ul>
]]></content:encoded>
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