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<title>FlowingData Forums &#187; Tag: time series - Recent Posts</title>
<link>http://forums.flowingdata.com/</link>
<description>Strength in Numbers</description>
<language>en</language>
<pubDate>Sat, 11 Feb 2012 20:14:10 +0000</pubDate>

<item>
<title>Legal research</title>
<link>http://forums.flowingdata.com/topic/legal-research#post-2344</link>
<pubDate>Wed, 14 Sep 2011 09:21:04 +0000</pubDate>
<dc:creator>fraziern</dc:creator>
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<description>&#60;p&#62;Hi forum:&#60;/p&#62;
&#60;p&#62;I've been working with Processing on some legal research and thought I'd share. I haven't seen much in the way of law-related visualizations here, so this might be new subject matter. Please take a look and let me know what you think, if you like. Thanks!&#60;/p&#62;
&#60;p&#62;&#60;a href=&#34;http://nickfrazier.com/14/small-claims-a-different-view/&#34; rel=&#34;nofollow&#34;&#62;http://nickfrazier.com/14/small-claims-a-different-view/&#60;/a&#62;
&#60;/p&#62;</description>
</item>
<item>
<title>Looking for multi-variable time-series data</title>
<link>http://forums.flowingdata.com/topic/looking-for-multi-variable-time-series-data#post-1443</link>
<pubDate>Sun, 24 Jan 2010 00:26:36 +0000</pubDate>
<dc:creator>antikraft</dc:creator>
<guid isPermaLink="false">1443@http://forums.flowingdata.com/</guid>
<description>&#60;p&#62;Woaah... that is some serious data!&#60;br /&#62;
Thanks Nathan
&#60;/p&#62;</description>
</item>
<item>
<title>Looking for multi-variable time-series data</title>
<link>http://forums.flowingdata.com/topic/looking-for-multi-variable-time-series-data#post-1442</link>
<pubDate>Sat, 23 Jan 2010 15:24:33 +0000</pubDate>
<dc:creator>nathany</dc:creator>
<guid isPermaLink="false">1442@http://forums.flowingdata.com/</guid>
<description>&#60;p&#62;crime data bonanza? &#60;/p&#62;
&#60;p&#62;&#60;a href=&#34;http://www.stat.columbia.edu/~cook/movabletype/archives/2008/03/crime_data_bona.html&#34; rel=&#34;nofollow&#34;&#62;http://www.stat.columbia.edu/~cook/movabletype/archives/2008/03/crime_data_bona.html&#60;/a&#62;
&#60;/p&#62;</description>
</item>
<item>
<title>Looking for multi-variable time-series data</title>
<link>http://forums.flowingdata.com/topic/looking-for-multi-variable-time-series-data#post-1441</link>
<pubDate>Sat, 23 Jan 2010 11:03:44 +0000</pubDate>
<dc:creator>antikraft</dc:creator>
<guid isPermaLink="false">1441@http://forums.flowingdata.com/</guid>
<description>&#60;p&#62;I am trying to find multi-variable time-series data for a visualization project. Ideally, the dataset will have &#38;gt; 10 variables, and for each &#38;gt; 100 observations. &#60;/p&#62;
&#60;p&#62;Ideas?
&#60;/p&#62;</description>
</item>
<item>
<title>advice for some time-series data visualization</title>
<link>http://forums.flowingdata.com/topic/advice-for-some-time-series-data-visualization#post-1438</link>
<pubDate>Fri, 22 Jan 2010 13:27:41 +0000</pubDate>
<dc:creator>nathany</dc:creator>
<guid isPermaLink="false">1438@http://forums.flowingdata.com/</guid>
<description>&#60;p&#62;I second that.
&#60;/p&#62;</description>
</item>
<item>
<title>advice for some time-series data visualization</title>
<link>http://forums.flowingdata.com/topic/advice-for-some-time-series-data-visualization#post-1435</link>
<pubDate>Fri, 22 Jan 2010 11:26:52 +0000</pubDate>
<dc:creator>joshhemann</dc:creator>
<guid isPermaLink="false">1435@http://forums.flowingdata.com/</guid>
<description>&#60;p&#62;This might be obvious, but a heatmap works best when you impose some order to your variables. Time has a natural ordering but you might sort the 40 countries by GDP, those in NATO vs not, etc, and hopefully blocks of colors jump out and reveal information more easily. You should post your images when you are done!
&#60;/p&#62;</description>
</item>
<item>
<title>advice for some time-series data visualization</title>
<link>http://forums.flowingdata.com/topic/advice-for-some-time-series-data-visualization#post-1434</link>
<pubDate>Thu, 21 Jan 2010 17:55:15 +0000</pubDate>
<dc:creator>nathany</dc:creator>
<guid isPermaLink="false">1434@http://forums.flowingdata.com/</guid>
<description>&#60;p&#62;I guess while we're at it, a treemap/mosaic plot or whatever it's called, could work too.
&#60;/p&#62;</description>
</item>
<item>
<title>advice for some time-series data visualization</title>
<link>http://forums.flowingdata.com/topic/advice-for-some-time-series-data-visualization#post-1433</link>
<pubDate>Thu, 21 Jan 2010 05:48:58 +0000</pubDate>
<dc:creator>New High Score</dc:creator>
<guid isPermaLink="false">1433@http://forums.flowingdata.com/</guid>
<description>&#60;p&#62;You can also look at the concept of Marimekko charts, which are a similar concept.
&#60;/p&#62;</description>
</item>
<item>
<title>advice for some time-series data visualization</title>
<link>http://forums.flowingdata.com/topic/advice-for-some-time-series-data-visualization#post-1423</link>
<pubDate>Sat, 16 Jan 2010 01:06:09 +0000</pubDate>
<dc:creator>kerimcan</dc:creator>
<guid isPermaLink="false">1423@http://forums.flowingdata.com/</guid>
<description>&#60;p&#62;Thanks for your help. Heatmaps are what I was looking for. I found especially the second link in krees' message useful.
&#60;/p&#62;</description>
</item>
<item>
<title>advice for some time-series data visualization</title>
<link>http://forums.flowingdata.com/topic/advice-for-some-time-series-data-visualization#post-1422</link>
<pubDate>Fri, 15 Jan 2010 10:29:52 +0000</pubDate>
<dc:creator>nathany</dc:creator>
<guid isPermaLink="false">1422@http://forums.flowingdata.com/</guid>
<description>&#60;p&#62;i guess a regular time series chart might work for this too.
&#60;/p&#62;</description>
</item>
<item>
<title>advice for some time-series data visualization</title>
<link>http://forums.flowingdata.com/topic/advice-for-some-time-series-data-visualization#post-1421</link>
<pubDate>Fri, 15 Jan 2010 02:55:08 +0000</pubDate>
<dc:creator>Kim Rees</dc:creator>
<guid isPermaLink="false">1421@http://forums.flowingdata.com/</guid>
<description>&#60;p&#62;Perhaps you're thinking of a basic heatmap?&#60;/p&#62;
&#60;p&#62;I don't use R, but one of these looks like it might help:&#60;br /&#62;
&#60;a href=&#34;http://sekhon.polisci.berkeley.edu/stats/html/heatmap.html&#34; rel=&#34;nofollow&#34;&#62;http://sekhon.polisci.berkeley.edu/stats/html/heatmap.html&#60;/a&#62;&#60;br /&#62;
&#60;a href=&#34;http://enotacoes.wordpress.com/2007/11/16/easy-guide-to-drawing-heat-maps-to-pdf-with-r-with-color-key/&#34; rel=&#34;nofollow&#34;&#62;http://enotacoes.wordpress.com/2007/11/16/easy-guide-to-drawing-heat-maps-to-pdf-with-r-with-color-key/&#60;/a&#62;
&#60;/p&#62;</description>
</item>
<item>
<title>advice for some time-series data visualization</title>
<link>http://forums.flowingdata.com/topic/advice-for-some-time-series-data-visualization#post-1420</link>
<pubDate>Fri, 15 Jan 2010 01:39:38 +0000</pubDate>
<dc:creator>kerimcan</dc:creator>
<guid isPermaLink="false">1420@http://forums.flowingdata.com/</guid>
<description>&#60;p&#62;Hi, I looked for advice or example of a visualization I have in mind but couldn't find any. Below is a description. I know R.&#60;/p&#62;
&#60;p&#62;I have data on peacekeeping operations and civil wars since 1985. &#34;Peacekeeping operations&#34; (PKO) variable takes on 4 values: No operation, UN operation, non-UN operation, mixed operation. I know the value of this variable for each country and each year. I want to show, for the countries that had at least one civil war (around 40 countries), the values of the PKO variable. &#60;/p&#62;
&#60;p&#62;I imagine a graph where countries are on the y-axis and years are on the x-axis. Each country has a horizontal strip and the strip can each year take a different color depending on the value of the PKO variable (white if &#34;no op&#34;, blue if &#34;UN op&#34;, yellow if &#34;non-UN op&#34;, green if &#34;mixed op&#34;). &#60;/p&#62;
&#60;p&#62;Could you tell me the name of such graphs and do you know if I can do this in R? &#60;/p&#62;
&#60;p&#62;Thanks for your help.
&#60;/p&#62;</description>
</item>
<item>
<title>Mapping H1N1 virus: pattern of spread over time</title>
<link>http://forums.flowingdata.com/topic/mapping-h1n1-virus-pattern-of-spread-over-time#post-1148</link>
<pubDate>Tue, 15 Sep 2009 09:40:02 +0000</pubDate>
<dc:creator>johnm</dc:creator>
<guid isPermaLink="false">1148@http://forums.flowingdata.com/</guid>
<description>&#60;p&#62;WHO used InstantAtlas to plot the spread of swine flu on their global and European web sites.  PAHO also used it for tracking in the Americas.&#60;/p&#62;
&#60;p&#62;Although the WHO &#34;time line&#34; is no longer live (because many national health departments  have stopped monitoring incidence) there are other international examples at:&#60;/p&#62;
&#60;p&#62;&#60;a href=&#34;http://www.instantatlas.com/h1n1-swineflu&#34; rel=&#34;nofollow&#34;&#62;http://www.instantatlas.com/h1n1-swineflu&#60;/a&#62;
&#60;/p&#62;</description>
</item>
<item>
<title>Mapping H1N1 virus: pattern of spread over time</title>
<link>http://forums.flowingdata.com/topic/mapping-h1n1-virus-pattern-of-spread-over-time#post-887</link>
<pubDate>Fri, 17 Jul 2009 07:31:45 +0000</pubDate>
<dc:creator>mchapman87501</dc:creator>
<guid isPermaLink="false">887@http://forums.flowingdata.com/</guid>
<description>&#60;p&#62;We created an interactive visualization of H1N1 incidents over time, using data from &#60;a href=&#34;http://flutracker.rhizalabs.com/&#34; rel=&#34;nofollow&#34;&#62;http://flutracker.rhizalabs.com/&#60;/a&#62;:&#60;/p&#62;
&#60;p&#62;&#60;a href=&#34;http://h1n1.mesaac.com/&#34; rel=&#34;nofollow&#34;&#62;http://h1n1.mesaac.com/&#60;/a&#62;
&#60;/p&#62;</description>
</item>
<item>
<title>Mapping H1N1 virus: pattern of spread over time</title>
<link>http://forums.flowingdata.com/topic/mapping-h1n1-virus-pattern-of-spread-over-time#post-884</link>
<pubDate>Fri, 17 Jul 2009 04:58:11 +0000</pubDate>
<dc:creator>flinklabs</dc:creator>
<guid isPermaLink="false">884@http://forums.flowingdata.com/</guid>
<description>&#60;p&#62;We created this visualisation of the growth of H1N1 across the world based on data from WHO.&#60;/p&#62;
&#60;p&#62;&#60;a href=&#34;http://www.flinklabs.com/projects/h1n1&#34; rel=&#34;nofollow&#34;&#62;http://www.flinklabs.com/projects/h1n1&#60;/a&#62;&#60;/p&#62;
&#60;p&#62;Cheers&#60;/p&#62;
&#60;p&#62;Ben Hosken&#60;br /&#62;
Founder&#60;br /&#62;
Flink Labs&#60;br /&#62;
Data Visualisation Beyond the Bar Chart
&#60;/p&#62;</description>
</item>
<item>
<title>Mapping H1N1 virus: pattern of spread over time</title>
<link>http://forums.flowingdata.com/topic/mapping-h1n1-virus-pattern-of-spread-over-time#post-813</link>
<pubDate>Wed, 08 Jul 2009 06:13:32 +0000</pubDate>
<dc:creator>tomhobson</dc:creator>
<guid isPermaLink="false">813@http://forums.flowingdata.com/</guid>
<description>&#60;p&#62;Thanks for the useful comments Tim. I'll check out the examples you mention and look at a revision/update.&#60;br /&#62;
Tom
&#60;/p&#62;</description>
</item>
<item>
<title>Mapping H1N1 virus: pattern of spread over time</title>
<link>http://forums.flowingdata.com/topic/mapping-h1n1-virus-pattern-of-spread-over-time#post-810</link>
<pubDate>Tue, 07 Jul 2009 21:25:14 +0000</pubDate>
<dc:creator>Tim</dc:creator>
<guid isPermaLink="false">810@http://forums.flowingdata.com/</guid>
<description>&#60;p&#62;It's a very similar idea to what Nathan did with his growth of walmart project. &#60;/p&#62;
&#60;p&#62;I found yours a little difficult in comparison, as the dots are so small, and the time moves pretty slowly.&#60;/p&#62;
&#60;p&#62;Another example is the original growth of walmart project, which uses smaller dots to good effect (plus shows the finished maop up front in diff color)&#60;/p&#62;
&#60;p&#62; &#60;a href=&#34;http://blog.kiwitobes.com/?p=51&#34; rel=&#34;nofollow&#34;&#62;http://blog.kiwitobes.com/?p=51&#60;/a&#62; &#60;/p&#62;
&#60;p&#62;This project was picked up in Ben Fry's data visualisation book,he looked at distribution of zip codes in a very similar way.&#60;/p&#62;
&#60;p&#62;&#60;a href=&#34;http://www.amazon.com/Visualizing-Data-Explaining-Processing-Environment/dp/0596514557/ref=sr_1_2?ie=UTF8&#38;amp;s=books&#38;amp;qid=1247019620&#38;amp;sr=8-2&#34; rel=&#34;nofollow&#34;&#62;http://www.amazon.com/Visualizing-Data-Explaining-Processing-Environment/dp/0596514557/ref=sr_1_2?ie=UTF8&#38;amp;s=books&#38;amp;qid=1247019620&#38;amp;sr=8-2&#60;/a&#62;&#60;/p&#62;
&#60;p&#62;He added a couple of other features you might get inspiration from, particularly the zoom and filter functions. He used processing for this.&#60;/p&#62;
&#60;p&#62;HTH&#60;/p&#62;
&#60;p&#62;Cheers,&#60;br /&#62;
Tim
&#60;/p&#62;</description>
</item>
<item>
<title>Mapping H1N1 virus: pattern of spread over time</title>
<link>http://forums.flowingdata.com/topic/mapping-h1n1-virus-pattern-of-spread-over-time#post-807</link>
<pubDate>Mon, 06 Jul 2009 19:17:30 +0000</pubDate>
<dc:creator>femion</dc:creator>
<guid isPermaLink="false">807@http://forums.flowingdata.com/</guid>
<description>&#60;p&#62;My lab group is also working on visualizing H1N1 - in our case the evolution of the virus:&#60;/p&#62;
&#60;p&#62;&#60;a href=&#34;http://kiwi.cs.dal.ca/~beiko/MediaWiki/mediawiki-1.13.4/images/e/e5/H1N1_SwineFlu_Trees.swf&#34; rel=&#34;nofollow&#34;&#62;http://kiwi.cs.dal.ca/~beiko/MediaWiki/mediawiki-1.13.4/images/e/e5/H1N1_SwineFlu_Trees.swf&#60;/a&#62;&#60;/p&#62;
&#60;p&#62;&#60;a href=&#34;http://kiwi.cs.dal.ca/~beiko/MediaWiki/mediawiki-1.13.4/images/e/ed/H1N1_SwineFlu_Spread.swf&#34; rel=&#34;nofollow&#34;&#62;http://kiwi.cs.dal.ca/~beiko/MediaWiki/mediawiki-1.13.4/images/e/ed/H1N1_SwineFlu_Spread.swf&#60;/a&#62;
&#60;/p&#62;</description>
</item>
<item>
<title>Mapping H1N1 virus: pattern of spread over time</title>
<link>http://forums.flowingdata.com/topic/mapping-h1n1-virus-pattern-of-spread-over-time#post-789</link>
<pubDate>Fri, 26 Jun 2009 06:06:55 +0000</pubDate>
<dc:creator>tomhobson</dc:creator>
<guid isPermaLink="false">789@http://forums.flowingdata.com/</guid>
<description>&#60;p&#62;Hi,&#60;br /&#62;
My first-time visiting this forum. Looking forward to getting some feedback and advice from interested members.  My work involves providing thematic mapping services to a range of agencies here in Ireland. As a side interest I am trying to develop effective means of communicating the unfolding of events (environmental, economic, political etc.)over space and time.&#60;br /&#62;
Here are two efforts to communicate the rate and pattern of spread of H1N1 swine flu virus cases based on public-domain data.&#60;br /&#62;
The maps are simple dot distributiion thematics generated from Mapinfo files. I call them Mapblogs.&#60;/p&#62;
&#60;p&#62;They are posted on Youtube with the following titles:&#60;/p&#62;
&#60;p&#62;Swine flu (H1N1): spread in mainland US - the first month&#60;br /&#62;
&#60;a href=&#34;http://www.youtube.com/watch?v=9d3nPS2voH0&#34; rel=&#34;nofollow&#34;&#62;http://www.youtube.com/watch?v=9d3nPS2voH0&#60;/a&#62;&#60;/p&#62;
&#60;p&#62;H1N1 09, Australia: Flu virus - time-series map of spread of cases to June 17 '09&#60;br /&#62;
&#60;a href=&#34;http://www.youtube.com/watch?v=-Xtr1a9uIC0&#34; rel=&#34;nofollow&#34;&#62;http://www.youtube.com/watch?v=-Xtr1a9uIC0&#60;/a&#62;
&#60;/p&#62;</description>
</item>
<item>
<title>Why People Like Streamgraphs So Much</title>
<link>http://forums.flowingdata.com/topic/why-people-like-streamgraphs-so-much#post-176</link>
<pubDate>Sat, 20 Dec 2008 23:12:28 +0000</pubDate>
<dc:creator>nathany</dc:creator>
<guid isPermaLink="false">176@http://forums.flowingdata.com/</guid>
<description>&#60;p&#62;I've been trying to figure out why exactly the streamgraph was such a big hit to the mass audience. The &#60;a href=&#34;http://www.leebyron.com/else/streamgraph/&#34; rel=&#34;nofollow&#34;&#62;Byron/Wattenberg paper&#60;/a&#62; puts it pretty clearly (and was a pretty interesting read). It pretty much came down to a visualization that didn't look statistical. Streamgraphs have an organic feel to them, and it drew people in - like the data had life.&#60;/p&#62;
&#60;p&#62;That's what excites me most about data visualization - the blend of statistics and design. Statistics is really good at finding interesting things in data and design is really good at evoking emotion. Put the two together, and you've got some excellent viz. I just wish there was more blending going on.
&#60;/p&#62;</description>
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