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	<title>Getting the most out of data...</title>
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	<link>http://www.uncoveringdata.com/blog</link>
	<description></description>
	<pubDate>Tue, 12 Jan 2010 03:35:37 +0000</pubDate>
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		<title>New York Times at it again&#8230;</title>
		<link>http://www.uncoveringdata.com/blog/?p=175</link>
		<comments>http://www.uncoveringdata.com/blog/?p=175#comments</comments>
		<pubDate>Tue, 12 Jan 2010 03:30:55 +0000</pubDate>
		<dc:creator>uncoveringdata</dc:creator>
		
		<category><![CDATA[Visualizations]]></category>

		<category><![CDATA[Data]]></category>

		<category><![CDATA[Visualization]]></category>

		<guid isPermaLink="false">http://www.uncoveringdata.com/blog/?p=175</guid>
		<description><![CDATA[I was just put onto this by a ex-colleague (@insightr) .
Its another one of the great NY Times visualizations, and whilst I have some mis-givings about its value, it still shows some wonderful trends just from a quick view of what is happening in NYC.

Take a look at it and see the trends between the Bronx and [...]]]></description>
			<content:encoded><![CDATA[<p>I was just put onto this by a ex-colleague (<a href="http://insightr.com/">@insightr</a>) .</p>
<p>Its another one of the great NY Times visualizations, and whilst I have some mis-givings about its value, it still shows some wonderful trends just from a quick view of what is happening in NYC.</p>
<p><a href="http://www.nytimes.com/interactive/2010/01/10/nyregion/20100110-netflix-map.html?ref=nyregion"><img class="aligncenter size-full wp-image-176" title="nytimes_netflix" src="http://www.uncoveringdata.com/blog/wp-content/uploads/2010/01/nytimes_netflix.jpg" alt="nytimes_netflix" width="448" height="272" /></a></p>
<p>Take a look at it and see the trends between the Bronx and Manhattan, and the trends within Manhattan, some differences within Lower vs Upper Manhattan, as mentioned in the <a href="http://artsbeat.blogs.nytimes.com/2010/01/10/a-peek-into-netflix-queues/">Arts Beat Blog Post</a> on NY Times.</p>
<p>My mis-givings about this, whilst it is showing interesting trends for 2009 films by each individual title, it would be quite compelling to look at the aggregate for each genre, as I believe that would show even more significant differences, certainly within the NYC area, just a thought&#8230;</p>
]]></content:encoded>
			<wfw:commentRss>http://www.uncoveringdata.com/blog/?feed=rss2&amp;p=175</wfw:commentRss>
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		<item>
		<title>Information vs Confusion</title>
		<link>http://www.uncoveringdata.com/blog/?p=171</link>
		<comments>http://www.uncoveringdata.com/blog/?p=171#comments</comments>
		<pubDate>Fri, 09 Oct 2009 15:07:34 +0000</pubDate>
		<dc:creator>uncoveringdata</dc:creator>
		
		<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://www.uncoveringdata.com/blog/?p=171</guid>
		<description><![CDATA[
Information vs Confusion, too much or too little.
The right amount of information is key, information overload leads to confusion and no information breeds confusion.
A great little chart from Indexed who provide some thought provoking doodles.  Keep it up guys.
]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter size-medium wp-image-172" title="card2282-372x230" src="http://www.uncoveringdata.com/blog/wp-content/uploads/2009/10/card2282-372x230-300x185.jpg" alt="card2282-372x230" width="300" height="185" /></p>
<p>Information vs Confusion, too much or too little.</p>
<p>The right amount of information is key, information overload leads to confusion and no information breeds confusion.</p>
<p>A great little chart from <a href="http://thisisindexed.com/">Indexed</a> who provide some thought provoking doodles.  Keep it up guys.</p>
]]></content:encoded>
			<wfw:commentRss>http://www.uncoveringdata.com/blog/?feed=rss2&amp;p=171</wfw:commentRss>
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		<item>
		<title>Comprehensive Twitter Analysis&#8230;</title>
		<link>http://www.uncoveringdata.com/blog/?p=166</link>
		<comments>http://www.uncoveringdata.com/blog/?p=166#comments</comments>
		<pubDate>Thu, 08 Oct 2009 21:51:44 +0000</pubDate>
		<dc:creator>uncoveringdata</dc:creator>
		
		<category><![CDATA[Statistics]]></category>

		<category><![CDATA[Data]]></category>

		<category><![CDATA[twitter]]></category>

		<guid isPermaLink="false">http://www.uncoveringdata.com/blog/?p=166</guid>
		<description><![CDATA[This is an analysis I have come across via TechCrunch from RJMetrics
It gives a comprehensive view of the universe that is Twitter and its users, below are some of the key findings..
Twitter’s user growth is no longer accelerating.  The rate of new user acquisition has plateaued at around 8 million per month.
Over 14% of users don’t have a single [...]]]></description>
			<content:encoded><![CDATA[<p>This is an analysis I have come across via <a href="http://www.techcrunch.com" target="_blank">TechCrunch </a>from <a href="http://www.rjmetrics.com/index-c.php" target="_blank">RJMetrics</a></p>
<p>It gives a comprehensive view of the universe that is Twitter and its users, below are some of the key findings..</p>
<li>Twitter’s user growth is no longer accelerating.  The rate of new user acquisition has plateaued at around 8 million per month.</li>
<li>Over 14% of users don’t have a single follower, and over 75% of users have 10 or fewer followers.</li>
<li>38% of users have never sent a single tweet, and over 75% of users have sent fewer than 10 tweets.</li>
<li>1 in 4 registered users tweets in any given month.</li>
<li>Once a user has tweeted once, there is a 65% chance that they will tweet again.  After that second tweet, however, the chance of a third tweet goes up to 81%.</li>
<li>If someone is still tweeting in their second week as a user, it is extremely likely that they will remain on Twitter as a long-term user.</li>
<li>Users who joined in more recent months are less likely to stop using the service and more likely to tweet more often than users from the past.</li>
<p> </p>
<p>The full report can be found <a href="http://themetricsystem.rjmetrics.com/2009/10/07/twitter-data-an-investors-perspective/">here</a> it provides some interesting reading and cool analysis</p>
<p>I should really break myself into the Twitter API&#8230;.</p>
]]></content:encoded>
			<wfw:commentRss>http://www.uncoveringdata.com/blog/?feed=rss2&amp;p=166</wfw:commentRss>
		</item>
		<item>
		<title>What you are actually watching during NFL Games&#8230;.</title>
		<link>http://www.uncoveringdata.com/blog/?p=162</link>
		<comments>http://www.uncoveringdata.com/blog/?p=162#comments</comments>
		<pubDate>Tue, 29 Sep 2009 17:53:16 +0000</pubDate>
		<dc:creator>uncoveringdata</dc:creator>
		
		<category><![CDATA[Visualizations]]></category>

		<category><![CDATA[Pie Charts]]></category>

		<guid isPermaLink="false">http://www.uncoveringdata.com/blog/?p=162</guid>
		<description><![CDATA[
A little fun and tongue in cheek laugh at the NFL&#8230;
]]></description>
			<content:encoded><![CDATA[<p style="text-align: center;"><a href="http://www.cracked.com/funny-2468-nfl-games/"><img class="size-full wp-image-163 aligncenter" title="NFL_Pie" src="http://www.uncoveringdata.com/blog/wp-content/uploads/2009/09/summary_image.jpg" alt="NFL_Pie" width="360" height="418" /></a></p>
<p>A little fun and tongue in cheek laugh at the NFL&#8230;</p>
]]></content:encoded>
			<wfw:commentRss>http://www.uncoveringdata.com/blog/?feed=rss2&amp;p=162</wfw:commentRss>
		</item>
		<item>
		<title>Data Bolt</title>
		<link>http://www.uncoveringdata.com/blog/?p=159</link>
		<comments>http://www.uncoveringdata.com/blog/?p=159#comments</comments>
		<pubDate>Mon, 17 Aug 2009 16:29:21 +0000</pubDate>
		<dc:creator>uncoveringdata</dc:creator>
		
		<category><![CDATA[Statistics]]></category>

		<category><![CDATA[Data]]></category>

		<guid isPermaLink="false">http://www.uncoveringdata.com/blog/?p=159</guid>
		<description><![CDATA[A very interesting article by the BBC Sport Team following another remarkable run by Usain Bolt at the World Athletics Championship in Berlin.
It breaks down the overall affect of his race, and what the change in records will be if other athletes achieve the same.
At one point in his race betwen 60M and 80M, he [...]]]></description>
			<content:encoded><![CDATA[<p>A very interesting article by the BBC Sport Team following another remarkable run by Usain Bolt at the World Athletics Championship in Berlin.</p>
<p>It breaks down the overall affect of his race, and what the change in records will be if other athletes achieve the same.</p>
<p>At one point in his race betwen 60M and 80M, he was running at 27.79MPH&#8230; WOW</p>
<p><a href="http://news.bbc.co.uk/sport2/hi/athletics/8205451.stm">http://news.bbc.co.uk/sport2/hi/athletics/8205451.stm</a></p>
]]></content:encoded>
			<wfw:commentRss>http://www.uncoveringdata.com/blog/?feed=rss2&amp;p=159</wfw:commentRss>
		</item>
		<item>
		<title>Map your Name&#8230;</title>
		<link>http://www.uncoveringdata.com/blog/?p=154</link>
		<comments>http://www.uncoveringdata.com/blog/?p=154#comments</comments>
		<pubDate>Mon, 09 Feb 2009 19:54:40 +0000</pubDate>
		<dc:creator>uncoveringdata</dc:creator>
		
		<category><![CDATA[Visualizations]]></category>

		<category><![CDATA[GIS]]></category>

		<category><![CDATA[Visualization]]></category>

		<guid isPermaLink="false">http://www.uncoveringdata.com/blog/?p=154</guid>
		<description><![CDATA[ 

This is a fascinating project developed by OriginsInfo, Experian and Geowise.
It provides a wealth of information about the geography and spread of names, both Family Names and Personal Names across the globe.  Below is details from mapyourname.com that details how they have done this.
&#8220;To create this website we have examined the names of 360,000,000 people currently [...]]]></description>
			<content:encoded><![CDATA[<p style="text-align: center;"> </p>
<p style="text-align: center;"><a href="http://www.mapyourname.com/en/index.html"><img class="size-large wp-image-156 aligncenter" title="mapyourname_edited" src="http://www.uncoveringdata.com/blog/wp-content/uploads/2009/02/mapyourname_edited-1024x870.jpg" alt="mapyourname_edited" width="393" height="334" /></a></p>
<p style="text-align: left;">This is a fascinating project developed by OriginsInfo, Experian and Geowise.</p>
<p style="text-align: left;">It provides a wealth of information about the geography and spread of names, both Family Names and Personal Names across the globe.  Below is details from <a href="http://www.mapyourname.com/en/index.html">mapyourname.com</a> that details how they have done this.</p>
<p style="text-align: left;"><em>&#8220;To create this website we have examined the names of 360,000,000 people currently alive in the United States, Australia and most of Western Europe. For almost all of these people Mapyourname will reveal the parts of the world from which their personal and family names originate.</em></p>
<p style="text-align: left;"><em>For the 60,000 most common family names Mapyourname will show their spread not just at country level but right down to the level of individual regions. From these maps most of you should be able to pinpoint the ancestral heartland of your name, and your friends’ and colleagues’ names, the place where your distant blood relations live, the location of your genetic home.&#8221;</em></p>
<p style="text-align: left;">Excellent work that I can quite easily spend hours on looking around at where my friends and colleagues names are most popular.</p>
]]></content:encoded>
			<wfw:commentRss>http://www.uncoveringdata.com/blog/?feed=rss2&amp;p=154</wfw:commentRss>
		</item>
		<item>
		<title>Simple but Effective Visualizations</title>
		<link>http://www.uncoveringdata.com/blog/?p=98</link>
		<comments>http://www.uncoveringdata.com/blog/?p=98#comments</comments>
		<pubDate>Mon, 09 Feb 2009 19:19:28 +0000</pubDate>
		<dc:creator>uncoveringdata</dc:creator>
		
		<category><![CDATA[Visualizations]]></category>

		<category><![CDATA[Visualization]]></category>

		<guid isPermaLink="false">http://www.uncoveringdata.com/blog/?p=98</guid>
		<description><![CDATA[I came across this chart whilst catching up with my blog reading the other day.  Its part of a post on Christopher Niemanns Blog with New York Times

It provides a funny look at fads and trends over time, and is very cleverly done, I also appreciated (maybe due to geekiness and lego-love) the most recent [...]]]></description>
			<content:encoded><![CDATA[<p>I came across this chart whilst catching up with my blog reading the other day.  Its part of a post on Christopher Niemanns Blog with <a href="http://niemann.blogs.nytimes.com/">New York Times</a></p>
<p style="text-align: center;"><a href="http://niemann.blogs.nytimes.com/2008/12/02/coffee/"><img class="size-full wp-image-150 aligncenter" title="08chart" src="http://www.uncoveringdata.com/blog/wp-content/uploads/2009/02/08chart.jpg" alt="08chart" width="324" height="450" /></a></p>
<p style="text-align: left;"><span id="more-98"></span>It provides a funny look at fads and trends over time, and is very cleverly done, I also appreciated (maybe due to geekiness and lego-love) the most recent post on the blog that shares images of New York in Lego&#8230;  It got me thinking onto what else the simple lego bricks can be used to vizualize, so much so I might have to go buy some this evening just for the hell of it</p>
<p style="text-align: center;"><img class="aligncenter" title="Beer" src="http://graphics8.nytimes.com/images/blogs/niemann/posts/2009/02/17beer.jpg" alt="" width="500" height="332" /></p>
<p style="text-align: left;"> </p>
]]></content:encoded>
			<wfw:commentRss>http://www.uncoveringdata.com/blog/?feed=rss2&amp;p=98</wfw:commentRss>
		</item>
		<item>
		<title>Daily Digest for 2009-02-08</title>
		<link>http://www.uncoveringdata.com/blog/?p=149</link>
		<comments>http://www.uncoveringdata.com/blog/?p=149#comments</comments>
		<pubDate>Mon, 09 Feb 2009 06:59:59 +0000</pubDate>
		<dc:creator>uncoveringdata</dc:creator>
		
		<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://www.uncoveringdata.com/blog/?p=149</guid>
		<description><![CDATA[


            
        

            5:44am
        

            Posted a tweet [...]]]></description>
			<content:encoded><![CDATA[<table class="lifestream">
<tr class="lifestream_feedid_twitter">
<td class="lifestream_icon">
            <img src="http://www.uncoveringdata.com/blog/wp-content/plugins/lifestream/images/twitter.png" alt="twitter (feed #2)" />
        </td>
<td class="lifestream_hour">
            <abbr title="2009-02-08T05:44:06-08:00">5:44am</abbr>
        </td>
<td class="lifestream_text">
            Posted a tweet on <a href="http://www.twitter.com/debsbalme">Twitter</a>.
<div class="lifestream_events">Ah and again&#8230;.</div>
</td>
</tr>
<tr class="lifestream_feedid_twitter">
<td class="lifestream_icon">
            <img src="http://www.uncoveringdata.com/blog/wp-content/plugins/lifestream/images/twitter.png" alt="twitter (feed #2)" />
        </td>
<td class="lifestream_hour">
            <abbr title="2009-02-08T12:23:02-08:00">12:23pm</abbr>
        </td>
<td class="lifestream_text">
            Posted a tweet on <a href="http://www.twitter.com/debsbalme">Twitter</a>.
<div class="lifestream_events">Lying in bed with only one of my two seans.. Missing the ther one</div>
</td>
</tr>
</table>
]]></content:encoded>
			<wfw:commentRss>http://www.uncoveringdata.com/blog/?feed=rss2&amp;p=149</wfw:commentRss>
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		<item>
		<title>Daily Digest for 2009-02-07</title>
		<link>http://www.uncoveringdata.com/blog/?p=148</link>
		<comments>http://www.uncoveringdata.com/blog/?p=148#comments</comments>
		<pubDate>Sun, 08 Feb 2009 06:59:59 +0000</pubDate>
		<dc:creator>uncoveringdata</dc:creator>
		
		<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://www.uncoveringdata.com/blog/?p=148</guid>
		<description><![CDATA[


            
        

            11:54am
        

            Posted a tweet [...]]]></description>
			<content:encoded><![CDATA[<table class="lifestream">
<tr class="lifestream_feedid_twitter">
<td class="lifestream_icon">
            <img src="http://www.uncoveringdata.com/blog/wp-content/plugins/lifestream/images/twitter.png" alt="twitter (feed #2)" />
        </td>
<td class="lifestream_hour">
            <abbr title="2009-02-07T11:54:33+00:00">11:54am</abbr>
        </td>
<td class="lifestream_text">
            Posted a tweet on <a href="http://www.twitter.com/debsbalme">Twitter</a>.
<div class="lifestream_events">Im off out and about&#8230; heading to Queens for a scout around</div>
</td>
</tr>
<tr class="lifestream_feedid_twitter">
<td class="lifestream_icon">
            <img src="http://www.uncoveringdata.com/blog/wp-content/plugins/lifestream/images/twitter.png" alt="twitter (feed #2)" />
        </td>
<td class="lifestream_hour">
            <abbr title="2009-02-07T11:54:47+00:00">11:54am</abbr>
        </td>
<td class="lifestream_text">
            Posted a tweet on <a href="http://www.twitter.com/debsbalme">Twitter</a>.
<div class="lifestream_events"><a href="http://www.twitter.com/thegiftd" class="user">@thegiftd</a> maybe it was the pinkness?</div>
</td>
</tr>
</table>
]]></content:encoded>
			<wfw:commentRss>http://www.uncoveringdata.com/blog/?feed=rss2&amp;p=148</wfw:commentRss>
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		<item>
		<title>Daily Digest for 2009-02-06</title>
		<link>http://www.uncoveringdata.com/blog/?p=147</link>
		<comments>http://www.uncoveringdata.com/blog/?p=147#comments</comments>
		<pubDate>Sat, 07 Feb 2009 06:59:59 +0000</pubDate>
		<dc:creator>uncoveringdata</dc:creator>
		
		<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://www.uncoveringdata.com/blog/?p=147</guid>
		<description><![CDATA[


            
        

            8:25pm
        

            Posted a tweet [...]]]></description>
			<content:encoded><![CDATA[<table class="lifestream">
<tr class="lifestream_feedid_twitter">
<td class="lifestream_icon">
            <img src="http://www.uncoveringdata.com/blog/wp-content/plugins/lifestream/images/twitter.png" alt="twitter (feed #2)" />
        </td>
<td class="lifestream_hour">
            <abbr title="2009-02-05T20:25:14+00:00">8:25pm</abbr>
        </td>
<td class="lifestream_text">
            Posted a tweet on <a href="http://www.twitter.com/debsbalme">Twitter</a>.
<div class="lifestream_events">Nice and quiet vening&#8230; That&#8217;s what I like&#8230;</div>
</td>
</tr>
<tr class="lifestream_feedid_twitter">
<td class="lifestream_icon">
            <img src="http://www.uncoveringdata.com/blog/wp-content/plugins/lifestream/images/twitter.png" alt="twitter (feed #2)" />
        </td>
<td class="lifestream_hour">
            <abbr title="2009-02-06T10:50:14+00:00">10:50am</abbr>
        </td>
<td class="lifestream_text">
            Posted a tweet on <a href="http://www.twitter.com/debsbalme">Twitter</a>.
<div class="lifestream_events"><a href="http://www.twitter.com/thegiftd" class="user">@thegiftd</a> wicked!!</div>
</td>
</tr>
<tr class="lifestream_feedid_twitter">
<td class="lifestream_icon">
            <img src="http://www.uncoveringdata.com/blog/wp-content/plugins/lifestream/images/twitter.png" alt="twitter (feed #2)" />
        </td>
<td class="lifestream_hour">
            <abbr title="2009-02-06T12:53:07+00:00">12:53pm</abbr>
        </td>
<td class="lifestream_text">
            Posted a tweet on <a href="http://www.twitter.com/debsbalme">Twitter</a>.
<div class="lifestream_events"><a href="http://www.twitter.com/sportycarrie" class="user">@sportycarrie</a> pint of &#8216;andpull please</div>
</td>
</tr>
</table>
]]></content:encoded>
			<wfw:commentRss>http://www.uncoveringdata.com/blog/?feed=rss2&amp;p=147</wfw:commentRss>
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