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	<title>HelpMeViz &#187; d3</title>
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	<link>http://helpmeviz.com</link>
	<description>Helping people with everyday data visualizations</description>
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		<title>Donor Bubbles</title>
		<link>http://helpmeviz.com/2014/09/03/donor-bubbles/</link>
		<comments>http://helpmeviz.com/2014/09/03/donor-bubbles/#comments</comments>
		<pubDate>Wed, 03 Sep 2014 13:36:04 +0000</pubDate>
		<dc:creator><![CDATA[helpmeviz@gmail.com]]></dc:creator>
				<category><![CDATA[Bubble Chart]]></category>
		<category><![CDATA[d3]]></category>

		<guid isPermaLink="false">http://helpmeviz.com/?p=640</guid>
		<description><![CDATA[<p>A story in yesterday&#8217;s Washington Post about unlimited individual campaign donations included this interactive bubble chart. In it, donation data for Democratic and Republican donors are encoded into bubbles and grouped together. A comment below the article asked the following: &#160; &#160; &#160; So, is the bubble chart the best way to show the data? Does [&#8230;]</p>
<p>The post <a rel="nofollow" href="/2014/09/03/donor-bubbles/">Donor Bubbles</a> appeared first on <a rel="nofollow" href="/">HelpMeViz</a>.</p>
]]></description>
				<content:encoded><![CDATA[<p>A story in <a href="http://www.washingtonpost.com/wp-srv/special/politics/mccutcheon-contribution-limits/" target="_blank">yesterday&#8217;s</a> Washington Post about unlimited individual campaign donations included this interactive bubble chart. In it, donation data for Democratic and Republican donors are encoded into bubbles and grouped together. A comment below the article asked the following:</p>
<p><img class="alignleft wp-image-645 size-medium" src="/wp-content/uploads/2014/09/Screen-Shot-2014-09-03-at-9.37.47-AM-300x65.png" alt="Screen Shot 2014-09-03 at 9.37.47 AM" width="300" height="65" /></p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<p>So, is the bubble chart the best way to show the data? Does the interactivity help? How can it be improved?</p>
<p>I pulled the data from <a href="https://docs.google.com/spreadsheets/d/1rz2vvWvvMe0QjD7XN-jHXxZMXUdvRybnDO-aBaNlOWs/edit?pli=1#gid=0" target="_blank">this Google spreadsheet</a> provided by OpenSecrets.org in a <a href="https://www.opensecrets.org/news/2014/09/cracking-the-contribution-cap-one-in-a-million-americans/" target="_blank">write-up</a> posted yesterday.</p>
<p>The post <a rel="nofollow" href="/2014/09/03/donor-bubbles/">Donor Bubbles</a> appeared first on <a rel="nofollow" href="/">HelpMeViz</a>.</p>
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		<slash:comments>1</slash:comments>
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		<title>The Cost of War</title>
		<link>http://helpmeviz.com/2014/04/07/the-cost-of-war/</link>
		<comments>http://helpmeviz.com/2014/04/07/the-cost-of-war/#comments</comments>
		<pubDate>Mon, 07 Apr 2014 13:18:00 +0000</pubDate>
		<dc:creator><![CDATA[helpmeviz@gmail.com]]></dc:creator>
				<category><![CDATA[d3]]></category>
		<category><![CDATA[Interactive]]></category>
		<category><![CDATA[Unit Chart]]></category>

		<guid isPermaLink="false">http://helpmeviz.com/?p=393</guid>
		<description><![CDATA[<p>This request for help with an interactive visualization built in d3 comes from Tim Hayes. This interactive visualization presents the thousands of U.S. soldiers killed in Iraq and Afghanistan between 2001 and 2014. The data came from the Washington Post’s Faces of the Fallen site, which contains an impressive collection of information including the details [&#8230;]</p>
<p>The post <a rel="nofollow" href="/2014/04/07/the-cost-of-war/">The Cost of War</a> appeared first on <a rel="nofollow" href="/">HelpMeViz</a>.</p>
]]></description>
				<content:encoded><![CDATA[<p>This request for help with an interactive visualization built in d3 comes from <a href="https://twitter.com/timmhayes">Tim Hayes</a>.</p>
<p><a href="https://rawgithub.com/timmhayes/data-visualization/master/projects/the_cost_of_war/chart.html" target="_blank">This interactive visualization</a> presents the thousands of U.S. soldiers killed in Iraq and Afghanistan between 2001 and 2014.</p>
<p>The data came from the Washington Post’s <a href="http://apps.washingtonpost.com/national/fallen/" target="_blank">Faces of the Fallen</a> site, which contains an impressive collection of information including the details behind each fatality alongside a photo. I appreciate the way the Post has humanized the loss of so many soldiers and I wanted offer a visualization of the individuals related to a big picture view of the total. To do so, I plotted all 6,774 data points separately rather than aggregating them in simplified charts.</p>
<p>It was a challenge to plot so many points in a visually interesting way and to do so while honoring those who have paid the ultimate price. How could it be improved?</p>
<p>Tim has posted the project on his <a href="https://github.com/timmhayes/data-visualization" target="_blank">GitHub page</a>, the source data is available <a href="https://github.com/timmhayes/data-visualization/blob/master/projects/the_cost_of_war/data.js" target="_blank">here</a>, and you can get directly to the interactive by clicking <a href="https://rawgithub.com/timmhayes/data-visualization/master/projects/the_cost_of_war/chart.html" target="_blank">here</a>.</p>
<p>The post <a rel="nofollow" href="/2014/04/07/the-cost-of-war/">The Cost of War</a> appeared first on <a rel="nofollow" href="/">HelpMeViz</a>.</p>
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		<slash:comments>6</slash:comments>
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		<title>State Migration Flows</title>
		<link>http://helpmeviz.com/2013/12/17/state-migration-flows/</link>
		<comments>http://helpmeviz.com/2013/12/17/state-migration-flows/#comments</comments>
		<pubDate>Tue, 17 Dec 2013 13:55:55 +0000</pubDate>
		<dc:creator><![CDATA[helpmeviz@gmail.com]]></dc:creator>
				<category><![CDATA[d3]]></category>
		<category><![CDATA[Interactive]]></category>
		<category><![CDATA[Map]]></category>

		<guid isPermaLink="false">http://helpmeviz.com/?p=142</guid>
		<description><![CDATA[<p>In late November, Chris Ingraham posted his interactive remake of a radial network diagram of state-level U.S. migration data. He’s asking the community for alternative approaches. Below is a sample of the text from the alternative on his bl.ocks page, but check out the full post for all the details. The data come from existing tabulations [&#8230;]</p>
<p>The post <a rel="nofollow" href="/2013/12/17/state-migration-flows/">State Migration Flows</a> appeared first on <a rel="nofollow" href="/">HelpMeViz</a>.</p>
]]></description>
				<content:encoded><![CDATA[<p>In late November, <a href="https://twitter.com/_cingraham" target="_blank">Chris Ingraham</a> posted his interactive remake of a <a href="http://vizynary.com/2013/11/18/restless-america-state-to-state-migration-in-2012/" target="_blank">radial network diagram</a> of state-level U.S. migration data. He’s asking the community for alternative approaches. Below is a sample of the text from the alternative on his <a href="http://bl.ocks.org/cingraham/7663357" target="_blank">bl.ocks page</a>, but check out the full post for all the details. The data come from existing tabulations from the <a href="http://www.census.gov/hhes/migration/data/acs/state-to-state.html" target="_blank">2012 American Community Survey</a>. (Please note that this is a request for help with an interactive visualization.)</p>
<p>“I thought there might be a better way to display these data, but I wasn&#8217;t right. I stuck with a map, drawing circles for each state sized by net migration (comings minus goings) and colored according to whether the state gained or lost residents overall. To get at individual state flows, click a state &#8211; paths radiate inwards and outwards from state to state, depending on the net migration flow between the two.”</p>
<p>&nbsp;</p>
<p>The post <a rel="nofollow" href="/2013/12/17/state-migration-flows/">State Migration Flows</a> appeared first on <a rel="nofollow" href="/">HelpMeViz</a>.</p>
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		<slash:comments>6</slash:comments>
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