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      <title>Analyzing Graphs by Isaac Berry</title>
      <link>https://padlet.com/isaacberry621/j9q7z8tgoaqv58tp</link>
      <description>Briana Towns, Isaac Berry, Reid Stewart </description>
      <language>en-us</language>
      <pubDate>2021-11-11 16:11:25 UTC</pubDate>
      <lastBuildDate>2024-10-14 20:33:06 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
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         <title></title>
         <author>isaacberry621</author>
         <link>https://padlet.com/isaacberry621/j9q7z8tgoaqv58tp/wish/1884616608</link>
         <description><![CDATA[<div>1. The data presented is based off of last year, last week, and current<br>2. I wouldn't consider the source reliable with the data presented<br>3. Data is too far apart to hold any accuracy to finding the national average </div>]]></description>
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         <pubDate>2021-11-11 16:25:27 UTC</pubDate>
         <guid>https://padlet.com/isaacberry621/j9q7z8tgoaqv58tp/wish/1884616608</guid>
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         <title></title>
         <author></author>
         <link>https://padlet.com/isaacberry621/j9q7z8tgoaqv58tp/wish/1884639793</link>
         <description><![CDATA[<div>1. This graph has a vertical axis starting at Zero and going up in increments of 10.<br>2. The graph is easy to read with having the positions at the bottom and having the percentages of a player in a certain postion to be placed on IR.<br>3. The graph claerly states the percentages of players going on IR, players missing more than a week, and players missing more than 4 weeks. </div>]]></description>
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         <pubDate>2021-11-11 16:36:02 UTC</pubDate>
         <guid>https://padlet.com/isaacberry621/j9q7z8tgoaqv58tp/wish/1884639793</guid>
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         <title></title>
         <author>isaacberry621</author>
         <link>https://padlet.com/isaacberry621/j9q7z8tgoaqv58tp/wish/1884642027</link>
         <description><![CDATA[<div>1. When the graph is adjusted and the axis is added, the results will shift. <br>2. This graph doesn't depict the data that has been found or calculated.&nbsp;<br>3. There is inaccurate shading&nbsp;of the blocks that represent the results.</div>]]></description>
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         <pubDate>2021-11-11 16:37:07 UTC</pubDate>
         <guid>https://padlet.com/isaacberry621/j9q7z8tgoaqv58tp/wish/1884642027</guid>
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         <title></title>
         <author>bltowns</author>
         <link>https://padlet.com/isaacberry621/j9q7z8tgoaqv58tp/wish/1884645043</link>
         <description><![CDATA[<div>1. This graph does not a cohesive system of time intervals as it pertains to the date. (i.e. some months have to sets if data while others have one set of data or skips months for data).<br>2. The numerical system underneath each bar graph can be confusion and hard to understand given that their is no "clear" reason why its used. (i.e&nbsp; Dec 17 &amp; Jan 10). while these could be interpreted as days its not explicitly stated.<br>3.  This graph does not cohesively represent data. This graph shows an inconsistent amount of data being taken with some months have up to 3 sets of data taken while other only have 1. </div>]]></description>
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         <pubDate>2021-11-11 16:38:36 UTC</pubDate>
         <guid>https://padlet.com/isaacberry621/j9q7z8tgoaqv58tp/wish/1884645043</guid>
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         <title></title>
         <author>bltowns</author>
         <link>https://padlet.com/isaacberry621/j9q7z8tgoaqv58tp/wish/1884663338</link>
         <description><![CDATA[<div>1. This graph explicitly represents the data making it easy to read. (i.e. Common Staple Foods and $KG)<br>2. This graph is consistent in depicting the data. All of the bars or the same size and shade.<br>3. This graph uses a consistent numerical system making the data easy to interpret. (i.e. 0, 2, 4....)</div>]]></description>
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         <pubDate>2021-11-11 16:47:31 UTC</pubDate>
         <guid>https://padlet.com/isaacberry621/j9q7z8tgoaqv58tp/wish/1884663338</guid>
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         <title></title>
         <author>isaacberry621</author>
         <link>https://padlet.com/isaacberry621/j9q7z8tgoaqv58tp/wish/1884666085</link>
         <description><![CDATA[<div>1. This bar graph accurately shows that holidays are the most frequent reason for visiting the UK.<br>2. The data is on an axis and you can clearly see that there were around 15,000 people that traveled to the U.K.<br>3. The other data presented clearly shows that business, visiting friends/relatives, and the lowest which was a little over 2,000<br><br></div>]]></description>
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         <pubDate>2021-11-11 16:48:46 UTC</pubDate>
         <guid>https://padlet.com/isaacberry621/j9q7z8tgoaqv58tp/wish/1884666085</guid>
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