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      <title>Stories best for data visualizations by Laura Ruel</title>
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      <description>Small group collaboration</description>
      <language>en-us</language>
      <pubDate>2020-08-13 03:50:29 UTC</pubDate>
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         <title>Think about the data visualizations you experienced.  Which ones were most effective?   Why? What parts of the stories were most influential when data were used?  What information was clearly understood ?  What are some examples of other data visualizations you believe are effective? Put their links here.</title>
         <author>lauraruel</author>
         <link>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/678208441</link>
         <description><![CDATA[]]></description>
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         <pubDate>2020-08-13 03:51:52 UTC</pubDate>
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         <title></title>
         <author></author>
         <link>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1694103595</link>
         <description><![CDATA[]]></description>
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         <pubDate>2021-08-24 17:33:35 UTC</pubDate>
         <guid>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1694103595</guid>
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         <title></title>
         <author></author>
         <link>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1694108068</link>
         <description><![CDATA[]]></description>
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         <pubDate>2021-08-24 17:35:57 UTC</pubDate>
         <guid>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1694108068</guid>
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         <title>Data Visualizations are a great way to to present data that involves a large number of subjects. COVID-19 is a great example of a topic where data visualizations can help the audience to understand the scale of things such as hospitalizations, percentages of breakthrough cases, etc. Numbers can give you information, but visuals help to understand them.</title>
         <author></author>
         <link>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1694108678</link>
         <description><![CDATA[]]></description>
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         <pubDate>2021-08-24 17:36:18 UTC</pubDate>
         <guid>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1694108678</guid>
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         <title></title>
         <author></author>
         <link>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1694112961</link>
         <description><![CDATA[]]></description>
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         <pubDate>2021-08-24 17:38:40 UTC</pubDate>
         <guid>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1694112961</guid>
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         <title>This link highlights how data can become quickly out of date, so interactive visualizations are important. This shows present-day data for the map of Florida</title>
         <author></author>
         <link>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1694121360</link>
         <description><![CDATA[]]></description>
         <enclosure url="https://covidaction.maps.arcgis.com/apps/dashboards/4915657158ed4991817d3703107563ba" />
         <pubDate>2021-08-24 17:43:27 UTC</pubDate>
         <guid>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1694121360</guid>
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         <title></title>
         <author></author>
         <link>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1694123062</link>
         <description><![CDATA[]]></description>
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         <pubDate>2021-08-24 17:44:24 UTC</pubDate>
         <guid>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1694123062</guid>
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      <item>
         <title>Gun Deaths In America</title>
         <author></author>
         <link>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1698899796</link>
         <description><![CDATA[<div>This site visually illustrates the causes of gun deaths in the US. </div>]]></description>
         <enclosure url="https://fivethirtyeight.com/features/gun-deaths/" />
         <pubDate>2021-08-26 17:03:52 UTC</pubDate>
         <guid>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1698899796</guid>
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         <title>Breaking Boundaries on Netflix</title>
         <author></author>
         <link>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1698901709</link>
         <description><![CDATA[<div>Breaking Boundaries uses data visualization to represent thresholds that we must avoid to mitigate the effects of climate change.</div><div><br></div>]]></description>
         <enclosure url="https://www.netflix.com/title/81336476" />
         <pubDate>2021-08-26 17:05:02 UTC</pubDate>
         <guid>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1698901709</guid>
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      <item>
         <title>U.S. population demographics predictions - interactive map</title>
         <author></author>
         <link>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1698902012</link>
         <description><![CDATA[]]></description>
         <enclosure url="https://www.pewresearch.org/next-america/#Two-Dramas-in-Slow-Motion" />
         <pubDate>2021-08-26 17:05:12 UTC</pubDate>
         <guid>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1698902012</guid>
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      <item>
         <title>Manhattan Population Explorer</title>
         <author></author>
         <link>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1698910139</link>
         <description><![CDATA[<div>Interactive map that shows the changing population of New York based on day and time, allowing the audience to get a better understanding of how the population evolves in Manhattan throughout a given week. </div>]]></description>
         <enclosure url="http://manpopex.us/" />
         <pubDate>2021-08-26 17:09:25 UTC</pubDate>
         <guid>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1698910139</guid>
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         <title>NYTimes - How the Virus Got Out </title>
         <author></author>
         <link>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1698925704</link>
         <description><![CDATA[]]></description>
         <enclosure url="https://www.nytimes.com/interactive/2020/03/22/world/coronavirus-spread.html" />
         <pubDate>2021-08-26 17:17:07 UTC</pubDate>
         <guid>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1698925704</guid>
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         <title></title>
         <author></author>
         <link>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1698926687</link>
         <description><![CDATA[<div>These images allow the viewer to get a feel for the scope and atmosphere of given protests across the United States. They give the audience a sense of what it was like to be at an event they weren't actually present for.</div>]]></description>
         <enclosure url="https://www.nytimes.com/interactive/2020/06/07/us/george-floyd-protest-aerial-photos.html" />
         <pubDate>2021-08-26 17:17:37 UTC</pubDate>
         <guid>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1698926687</guid>
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      <item>
         <title>Bloomberg Spending</title>
         <author></author>
         <link>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1698926851</link>
         <description><![CDATA[<div>Gives a great breakdown of Bloomberg's spending across geography, industry, type of giving, institution, etc. </div>]]></description>
         <enclosure url="https://www.nytimes.com/interactive/2020/02/15/us/politics/michael-bloomberg-spending.html" />
         <pubDate>2021-08-26 17:17:41 UTC</pubDate>
         <guid>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1698926851</guid>
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      <item>
         <title></title>
         <author>brianhogan97</author>
         <link>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1698929789</link>
         <description><![CDATA[]]></description>
         <enclosure url="https://fred.stlouisfed.org/series/UNRATE" />
         <pubDate>2021-08-26 17:19:16 UTC</pubDate>
         <guid>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1698929789</guid>
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      <item>
         <title>UNC-CHAPEL HILL CV-19 DASHBOARD</title>
         <author></author>
         <link>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1698929886</link>
         <description><![CDATA[<div>https://carolinatogether.unc.edu/dashboard/</div>]]></description>
         <enclosure url="https://carolinatogether.unc.edu/dashboard/" />
         <pubDate>2021-08-26 17:19:20 UTC</pubDate>
         <guid>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1698929886</guid>
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      <item>
         <title>Pew Research </title>
         <author></author>
         <link>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1698930301</link>
         <description><![CDATA[<div>Allows readers to make connections based on the data and information presented, better than they would if the visualizations weren't included throughout the story. </div>]]></description>
         <enclosure url="" />
         <pubDate>2021-08-26 17:19:35 UTC</pubDate>
         <guid>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1698930301</guid>
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         <title>Great resource for data visualizations!</title>
         <author>lauraruel</author>
         <link>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1698941056</link>
         <description><![CDATA[]]></description>
         <enclosure url="https://www.nytimes.com/interactive/2020/12/30/us/2020-year-in-graphics.html" />
         <pubDate>2021-08-26 17:25:17 UTC</pubDate>
         <guid>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1698941056</guid>
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         <title></title>
         <author></author>
         <link>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1698941905</link>
         <description><![CDATA[<div>This visualization of wealth allows viewers to understand the incomprehensibly large amount of money that Jeff Bezos and the rest of the 400 richest people own. While scrolling through the visualizer, it provides comparisons between how much Amazon workers make annually, how much it would cost to house every homeless veteran annually, and other major spending programs. A truly transformative interactive visualization.</div>]]></description>
         <enclosure url="https://mkorostoff.github.io/1-pixel-wealth/" />
         <pubDate>2021-08-26 17:25:46 UTC</pubDate>
         <guid>https://padlet.com/lauraruel/7n1uc9sog7e876cu/wish/1698941905</guid>
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