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	<title>HOLYTORNADO! &#187; Data visualisation</title>
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		<title>HOLYTORNADO! &#187; Data visualisation</title>
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		<title>State of the Internet. For infographic fans.</title>
		<link>http://blog.holytornado.co.uk/2010/03/01/state-of-the-internet-for-infographic-fans/</link>
		<comments>http://blog.holytornado.co.uk/2010/03/01/state-of-the-internet-for-infographic-fans/#comments</comments>
		<pubDate>Mon, 01 Mar 2010 17:07:02 +0000</pubDate>
		<dc:creator>holytornado</dc:creator>
				<category><![CDATA[Data visualisation]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data visualization]]></category>
		<category><![CDATA[Internet stats]]></category>
		<category><![CDATA[Social networking]]></category>
		<category><![CDATA[social shifts]]></category>

		<guid isPermaLink="false">http://blog.holytornado.co.uk/?p=267</guid>
		<description><![CDATA[Here&#8217;s a great piece of infographic video with all of the latest quantitative data about the current state of the Internet. Gotta love the nice countdown to 2010 from 1997 showing the number of new social networks being created each year. Interestingly, there is a peak in the early 2000&#8242;s which wanes significantly in 2009 [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=blog.holytornado.co.uk&amp;blog=6902259&amp;post=267&amp;subd=holytornado&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>Here&#8217;s a great piece of infographic video with all of the latest quantitative data about the current state of the Internet. Gotta love the nice countdown to 2010 from 1997 showing the number of new social networks being created each year. Interestingly, there is a peak in the early 2000&#8242;s which wanes significantly in 2009 and 2010. This is the globalization effect of the main social media networks where smaller players are either turning more niche or vanishing altogether. I would love to see somebody do one of these on the state of the mobile industry. If you find one, let me know and I&#8217;ll republish it here. </p>
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		<title>What data visualizations can tell us about the world</title>
		<link>http://blog.holytornado.co.uk/2009/09/15/what-data-visualizations-can-tell-us-about-the-world/</link>
		<comments>http://blog.holytornado.co.uk/2009/09/15/what-data-visualizations-can-tell-us-about-the-world/#comments</comments>
		<pubDate>Tue, 15 Sep 2009 14:07:39 +0000</pubDate>
		<dc:creator>holytornado</dc:creator>
				<category><![CDATA[Data visualisation]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data visualization]]></category>
		<category><![CDATA[globalisation]]></category>
		<category><![CDATA[Politics]]></category>
		<category><![CDATA[resource usage]]></category>
		<category><![CDATA[US trade]]></category>

		<guid isPermaLink="false">http://holytornado.wordpress.com/?p=128</guid>
		<description><![CDATA[As any researcher will tell you, the difficultly of visualising complex datasets is quite simply, the challenge of finding a way to represent the numbers so that they actually mean something to the person who uses it. In the interesting US/China trade example, the line weight gives an immediate indication to the size of the [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=blog.holytornado.co.uk&amp;blog=6902259&amp;post=128&amp;subd=holytornado&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>As any researcher will tell you, the difficultly of visualising complex datasets is quite simply, the challenge of finding a way to represent the numbers so that they actually mean something to the person who uses it.</p>
<p>In the interesting US/China trade example, the line weight gives an immediate indication to the size of the number, while color shows inports versus exports with Red being exports and green imports.</p>
<p><a href="http://holytornado.files.wordpress.com/2009/09/us-chinatradecomparison-2.jpg" target="_blank"><img class="alignnone size-full wp-image-127" title="us-chinatradecomparison-2" src="http://holytornado.files.wordpress.com/2009/09/us-chinatradecomparison-2.jpg?w=500&#038;h=418" alt="us-chinatradecomparison-2" width="500" height="418" /></a></p>
<p>Given that, we see immediately some key facts. First, the US imports far more than it exports. In fact, the trade deficit is a whopping 810 billion USD. Inversely, China exports more than it imports to a tune of 31 billion USD difference.</p>
<p>We also see that Canada and China are almost neck and neck as importers to the US, with Canada at 335.6 billion USD and China at 337.8 billion USD, a mere 2.2 billion USD difference.</p>
<p>Looking at exports however, we see that Canada is a far more strategic trading partner for the US in terms of exports. In fact, the US exports more to Mexico at 151 billion USD, which is no surprise after NAFTA, than it does to China at 71 billion USD. What&#8217;s interesting is that the EU seems to be better at negotiating trading relations with China to the tune of an additional 60.7 billion USD a year worth of EU imports! The trade gap is also lower, at 168 billion USD versus the US&#8217;s 267.4 billion.</p>
<p>Diving deeper into the chart, Mint.com calls out the top 5 trade areas, little of which will come as a suprise to anybody who looks at any &#8220;Made in&#8221; labels in the US. So naturally, we have Apparel and Footwear, Computers and Parts, Toys and Bicycles, Televisions and Furniture being the top 5 import areas to the US, while the US is shipping soybeans, semiconductors, aircraft, plastics and copper to China.</p>
<p>Bearing that in mind, take a look at this next data visualisation from Armin Reller of the University of Augsburg, and Tom Graedel at Yale University.</p>
<p><a href="http://holytornado.files.wordpress.com/2009/09/26051202.jpg"><img class="alignnone size-full wp-image-129" title="World resource consumption" src="http://holytornado.files.wordpress.com/2009/09/26051202.jpg?w=500&#038;h=306" alt="26051202" width="500" height="306" /></a></p>
<p>Much of the exotic raw materials used to make consumer electronics, such as TV&#8217;s and Phones, are expected to last for only another 20 or so years if demand in emerging markets continues to grow as fast as it is now.</p>
<p>So by 2029, we will need to find new materials to make our TVs with, which, given the fast development pace of elctronics, seems completly doable. Although a good percentage of our raw materials can be recycled, such as copper and silver (we can always melt down our jewerly to get more), while others such as uraninium is not. Which means sometime between 19  to 59 years, we need new sources of energy.</p>
<p>What&#8217;s interesting about the two charts is that growth in trade, which the US constantly pushes like used car salesmen, will in fact cause an increasing strain on resources. In turn, fewer resources means that the cost of goods reliant on those resources go up and investment in companies reliant on them starts to look worse and worse.</p>
<p>And this is the inherent problem with the US (and British) economic model. If you are dependent on an ever increasing amount of global production to justify an ever increasing demand for profit, at some point you will hit the limit of your resourcing.  We see this fastest in services based industries such as advertising where a company&#8217;s ability to deliver is linked directly to the number of people they have employed. Less people means less money.</p>
<p>The global answer to this limitation problem is to simply do more with less. Eventually however, the cost of stretching the usage of limited supplies available to the last possible moment will exceed the cost of switching to new solutions and technologies. This is what we are starting to see in the energy industry, where the cost of exploration, drilling, refining, shipping and distributing oil is growing to the point where alternative energy sources such as hydrogen, with all of its challenges, will actually be cheaper to develop than to maintain the status quo.</p>
<p>The future therefore, lies either in those companies that can innovate themselves out of the resource pit, or in the new companies that have found better ways to solve our global needs. Either way, growth in innovation is critical to ensure business continues in the future. Whether it&#8217;s technological innovation designed to maintain our current economic models, or economic and business innovation to discover alternative models for measuring and running future business.</p>
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			<media:title type="html">us-chinatradecomparison-2</media:title>
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			<media:title type="html">World resource consumption</media:title>
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		<title>Looking a bit closer at Ruder Finn&#8217;s Intent index</title>
		<link>http://blog.holytornado.co.uk/2009/08/09/looking-a-bit-closer-at-ruder-finns-intent-index/</link>
		<comments>http://blog.holytornado.co.uk/2009/08/09/looking-a-bit-closer-at-ruder-finns-intent-index/#comments</comments>
		<pubDate>Sun, 09 Aug 2009 22:02:33 +0000</pubDate>
		<dc:creator>holytornado</dc:creator>
				<category><![CDATA[Data visualisation]]></category>
		<category><![CDATA[Online research]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Consumer data]]></category>
		<category><![CDATA[Consumer media usage]]></category>
		<category><![CDATA[Online intent]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[Ruder Finn]]></category>

		<guid isPermaLink="false">http://holytornado.wordpress.com/?p=124</guid>
		<description><![CDATA[If you&#8217;re bored of those plain Forrester charts, then take a look at this gem from Ruder Finn. The pro&#8217;s of the research is the interactive data visualisation that lets you view the details of any data point and compare &#8216;intent&#8217; across demographics and categories. The huge con of the research is the methodology. Ruder [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=blog.holytornado.co.uk&amp;blog=6902259&amp;post=124&amp;subd=holytornado&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.ruderfinn.com/rfrelate/intent/intent-index.html"><img class="alignnone size-full wp-image-125" title="Ruder Finn Index" src="http://holytornado.files.wordpress.com/2009/08/picture-2.png?w=500&#038;h=340" alt="Ruder Finn Index" width="500" height="340" /></a></p>
<p>If you&#8217;re bored of those plain Forrester charts, then take a look at this gem from Ruder Finn. The pro&#8217;s of the research is the interactive data visualisation that lets you view the details of any data point and compare &#8216;intent&#8217; across demographics and categories. The huge con of the research is the methodology. Ruder Finn runs a census style research of a mere 500 US adults 18+, in a nation with a population of 303 million, of which 251 million are online. That means that the validity of the research is based on 0.000002% of the US online population. Which is in essence, the entire problem with surveys of this nature. Digital companies continue to throw up miniscule statistics and present them as representative of the total online space, when in reality, nothing could be father from the truth.</p>
<p>In an age where you can get 100s of million views on YouTube for a video of an overweight kid goofing around with a fake lightsaber, any research based on small numbers should be taken with a very large grain of salt. In the UK, YouGov runs surveys with an online sample of 250 000 plus! That in a nation with an online population of just 43 million. Even though this is still 0.0058% of the online population, you still have to admit it&#8217;s far better than what Ruder Finn has put forward.</p>
<p>So here are the take-outs. Learn from the data visualisation approach, but ignore the results of the data itself.</p>
<p><a href="http://www.ruderfinn.com/rfrelate/intent/intent-index.html">Ruder Finn Intent Index</a></p>
<p>Shared via <a href="http://addthis.com">AddThis</a></p>
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			<media:title type="html">Ruder Finn Index</media:title>
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		<title>Visualizing the global domination of Starbucks and McDonald&#8217;s</title>
		<link>http://blog.holytornado.co.uk/2009/07/28/visualizing-the-global-domination-of-starbucks-and-mcdonalds/</link>
		<comments>http://blog.holytornado.co.uk/2009/07/28/visualizing-the-global-domination-of-starbucks-and-mcdonalds/#comments</comments>
		<pubDate>Tue, 28 Jul 2009 10:29:53 +0000</pubDate>
		<dc:creator>holytornado</dc:creator>
				<category><![CDATA[Data visualisation]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data visualization]]></category>
		<category><![CDATA[globalisation]]></category>
		<category><![CDATA[McDonald's]]></category>
		<category><![CDATA[Starbucks]]></category>

		<guid isPermaLink="false">http://holytornado.wordpress.com/?p=116</guid>
		<description><![CDATA[Recently I came across some very cool data visualizations, which I am really a big fan of. So I have decided to post some of the best one&#8217;s I have found to date. First off is this nice one on Starbucks and McDonald&#8217;s. Some interesting highlights to note. The total sales of McDonald&#8217;s in 2003 [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=blog.holytornado.co.uk&amp;blog=6902259&amp;post=116&amp;subd=holytornado&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>Recently I came across some very cool data visualizations, which I am really a big fan of. So I have decided to post some of the best one&#8217;s I have found to date.</p>
<p>First off is this nice one on Starbucks and McDonald&#8217;s.</p>
<div id="attachment_120" class="wp-caption alignnone" style="width: 510px"><a href="http://holytornado.files.wordpress.com/2009/07/starbucks1.jpg"><img class="size-full wp-image-120 " title="starbucks" src="http://holytornado.files.wordpress.com/2009/07/starbucks1.jpg?w=500&#038;h=321" alt="Starbucks and McDonald's global domination" width="500" height="321" /></a><p class="wp-caption-text">Starbucks and McDonald&#39;s global domination</p></div>
<p>Some interesting highlights to note. The total sales of McDonald&#8217;s in 2003 was a hairs breadth from being double the GOP of Afghanistan and exceeded all of its major global competitors by a good $8 billion!</p>
<p>The countries you are most likely to find a Starbucks and McDonald&#8217;s don&#8217;t seem to differ all that much: USA, Canada, UK and Japan are the biggest three for both brands. The size of the UK bubble for McDonald&#8217;s is particularly shocking! What would be an interesting layer on this one are the countries with the most problems with obesity, of which both the UK and the US top the charts.</p>
<p>The most surprising figure though is the number of countries used to make up a cup of Startbucks coffee. The answer it 19! Naturally, the beans are sourced from the major coffee growing countries in Latin America, Africa and Indonesia. While paper is sourced from the major paper producers, Canada and Scandinavia. The sugar comes from Brazil and Australia, which is an eye-opener to me as I didn&#8217;t even know they grow sugar there.</p>
<p>Next up, the US/China global trade!</p>
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