<?xml version="1.0" encoding="utf-8"?>

<rss version="2.0">

<channel><title>Exploring Data News Feed</title>

<link>http://exploringdata.github.io</link>

<description></description>

<lastBuildDate>Mon, 24 Mar 2014 13:09:53 </lastBuildDate>

<generator>Logya</generator>

<docs>http://blogs.law.harvard.edu/tech/rss</docs>

<item>

<title>Falcao and Iniesta the top players in 2013 according to Ronaldo and Messi</title>

<link>http://exploringdata.github.io/info/ballon-dor-male-players-votes-2013/</link>

<description>The Ballon d'Or 2013 visualization shows an interactive network graph of voters and voted football players related based on votes cast for the male FIFA Ballon d'Or award in 2013.</description>

<guid>http://exploringdata.github.io/info/ballon-dor-male-players-votes-2013/</guid>

<pubDate>Mon, 13 Jan 2014 21:50:20 </pubDate>

</item>

<item>

<title>Ballon d'Or 2013 Male Players Votes Network</title>

<link>http://exploringdata.github.io/vis/ballon-dor-male-players-votes-2013/</link>

<description>An interactive network graph showing the connections between voters and voted male football players from the male FIFA Ballon d'Or vote 2013.</description>

<guid>http://exploringdata.github.io/vis/ballon-dor-male-players-votes-2013/</guid>

<pubDate>Mon, 13 Jan 2014 21:34:20 </pubDate>

</item>

<item>

<title>Where in the World Happen Most Murders</title>

<link>http://exploringdata.github.io/info/intentional-homicides/</link>

<description>A series of maps of the world showing where in the world the least and the most murders happen for the years 1995 to 2011.</description>

<guid>http://exploringdata.github.io/info/intentional-homicides/</guid>

<pubDate>Fri, 20 Sep 2013 00:03:53 </pubDate>

</item>

<item>

<title>World Map of Intentional Homicides</title>

<link>http://exploringdata.github.io/map/world/intentional-homicides/</link>

<description>A series of geographic Choropleth maps showing the number of intentional homicides by country per 100,000 people. Created using World Bank data and D3.js.</description>

<guid>http://exploringdata.github.io/map/world/intentional-homicides/</guid>

<pubDate>Thu, 19 Sep 2013 23:37:53 </pubDate>

</item>

<item>

<title>Rail Suicides in Europe: Absolute vs. Relative</title>

<link>http://exploringdata.github.io/story/rail-suicides-europe/</link>

<description>A look at rail suicides data for Europe from 2008 to 2011 highlighting the importance of relating numbers.</description>

<guid>http://exploringdata.github.io/story/rail-suicides-europe/</guid>

<pubDate>Thu, 12 Sep 2013 11:39:40 </pubDate>

</item>

<item>

<title>How npm Packages are Linked by Dependencies</title>

<link>http://exploringdata.github.io/info/npm-packages-dependencies/</link>

<description>2 Interactive graph visualizations that show how npm packages are linked by dependency relations, the smaller one is limited to packages with at least 10 dependent packages. Graphs were pre-processed with Gephi and are rendered with sigma.js.</description>

<guid>http://exploringdata.github.io/info/npm-packages-dependencies/</guid>

<pubDate>Mon, 15 Jul 2013 16:03:34 </pubDate>

</item>

<item>

<title>npm Top Packages Dependencies Graph</title>

<link>http://exploringdata.github.io/vis/npm-top-packages-dependencies/</link>

<description>An interactive network graph showing the dependencies between npm packages, with at least 10 dependent packages, as of July 12, 2013 rendered with sigma.js and preprocessed with Gephi.</description>

<guid>http://exploringdata.github.io/vis/npm-top-packages-dependencies/</guid>

<pubDate>Mon, 15 Jul 2013 13:58:31 </pubDate>

</item>

<item>

<title>npm Packages Dependencies Graph</title>

<link>http://exploringdata.github.io/vis/npm-packages-dependencies/</link>

<description>An interactive network graph showing the dependencies between npm packages as of July 12, 2013 rendered with sigma.js and preprocessed with Gephi.</description>

<guid>http://exploringdata.github.io/vis/npm-packages-dependencies/</guid>

<pubDate>Mon, 15 Jul 2013 13:58:21 </pubDate>

</item>

<item>

<title>Geo Maps Drawn from IP Locations</title>

<link>http://exploringdata.github.io/vis/ip-location-maps/</link>

<description>Geographic maps of the world and most continents drawn based on an IP location dataset with 419433 records.</description>

<guid>http://exploringdata.github.io/vis/ip-location-maps/</guid>

<pubDate>Tue, 11 Jun 2013 00:00:00 </pubDate>

</item>

<item>

<title>How Participants of the Visualisingdata Census are Connected on Twitter</title>

<link>http://exploringdata.github.io/info/visualisingdata-census-twitter-network/</link>

<description>The visualisingdata census network graph shows the Twitter connections of the participants of the 1st data visualization census initiated by Andy Kirk.</description>

<guid>http://exploringdata.github.io/info/visualisingdata-census-twitter-network/</guid>

<pubDate>Tue, 09 Apr 2013 23:41:18 </pubDate>

</item>

</channel></rss>