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      <title>Analyzing Graphs in the Media by David L</title>
      <link>https://padlet.com/dlavanchy8/vep6o41jqnwk</link>
      <description>Math 125</description>
      <language>en-us</language>
      <pubDate>2017-03-01 19:31:42 UTC</pubDate>
      <lastBuildDate>2025-10-05 03:22:33 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
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         <title>Misleading Graph</title>
         <author>dlavanchy8</author>
         <link>https://padlet.com/dlavanchy8/vep6o41jqnwk/wish/157150847</link>
         <description><![CDATA[<div>This graph is very misleading because the percentages are horribly proportioned to one another. If you look at the 34% bar compared to the 13% bar, the 13% bar is almost four times as high as the 34%. The 28% bar looks as if no one said "somewhat" in regards to the survey. The 25% bar is higher than the 28% bar. Just taking a glance at this graph would make someone believe that people aren't worried about the Zika virus. The bar graph is skewed to convey that people are not at all concerned about the Zika virus.</div>]]></description>
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         <pubDate>2017-03-01 19:32:49 UTC</pubDate>
         <guid>https://padlet.com/dlavanchy8/vep6o41jqnwk/wish/157150847</guid>
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         <title>Honest Graph</title>
         <author>dlavanchy8</author>
         <link>https://padlet.com/dlavanchy8/vep6o41jqnwk/wish/157152497</link>
         <description><![CDATA[<div>This is an honest representation of how pie charts should look in the media. Each pie chart adds up to 100%. The proportion of the slices of the pie charts is representative of their percentages. For instance, the 50.12% slice in the third chart is roughly half the pie which is accurate. CNN does not display any bias in altering the graph's composition. </div>]]></description>
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         <pubDate>2017-03-01 19:37:22 UTC</pubDate>
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