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      <title>2018 Pie Charts (6Si) by Jeffrey Huang Yaosheng</title>
      <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9</link>
      <description></description>
      <language>en-us</language>
      <pubDate>2018-07-02 13:14:43 UTC</pubDate>
      <lastBuildDate>2018-07-19 03:54:11 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
      <image>
         <url></url>
      </image>
      <item>
         <title>It is easy to estimate/proportion results</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582756</link>
         <description><![CDATA[]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:30:40 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582756</guid>
      </item>
      <item>
         <title>to see the objects or thing more clearly</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582800</link>
         <description><![CDATA[]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:31:10 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582800</guid>
      </item>
      <item>
         <title>to see the percentage of something.</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582812</link>
         <description><![CDATA[]]></description>
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         <pubDate>2018-07-19 03:31:17 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582812</guid>
      </item>
      <item>
         <title>Easy to identify the amount of item</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582814</link>
         <description><![CDATA[]]></description>
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         <pubDate>2018-07-19 03:31:19 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582814</guid>
      </item>
      <item>
         <title></title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582831</link>
         <description><![CDATA[<div>to compare the amount if objects easier<br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:31:30 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582831</guid>
      </item>
      <item>
         <title></title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582843</link>
         <description><![CDATA[<div>show each data category in a frequency distribution.&nbsp;</div><div><br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:31:38 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582843</guid>
      </item>
      <item>
         <title>To organize things like expenditure</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582846</link>
         <description><![CDATA[]]></description>
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         <pubDate>2018-07-19 03:31:40 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582846</guid>
      </item>
      <item>
         <title>easy to identify percentange</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582851</link>
         <description><![CDATA[]]></description>
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         <pubDate>2018-07-19 03:31:43 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582851</guid>
      </item>
      <item>
         <title>to know the percentage of something</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582868</link>
         <description><![CDATA[<div>i think</div>]]></description>
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         <pubDate>2018-07-19 03:31:56 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582868</guid>
      </item>
      <item>
         <title>easy to estimate results</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582869</link>
         <description><![CDATA[]]></description>
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         <pubDate>2018-07-19 03:31:56 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582869</guid>
      </item>
      <item>
         <title>hi</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582900</link>
         <description><![CDATA[]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:32:34 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582900</guid>
      </item>
      <item>
         <title>to see</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582907</link>
         <description><![CDATA[]]></description>
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         <pubDate>2018-07-19 03:32:39 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582907</guid>
      </item>
      <item>
         <title>patrick says :                              A line graph provides several benefits compared to other data representation methods such as a bar or pie chart. There are three characteristics which make it common in many types of work, including heavy usage in scientific endeavors or longitudinal studies.One of the most important benefits is the longitudinal aptitude of a line graph. The timeline for a tracked event can easily be plotted along an x/y axis. This shows a graphic representation of the rise or fall of data points. Missing data can be plotted along the line with some degree of certainty or error probability. This is also seen with graph convergence, which is most often seen in economic data points. For example, the cost a consumer is willing to pay for an item can be crossed with a profitable sell point for the company to reach the ideal market price.Another benefit of the line graph is the comparison factor as mentioned briefly above. Two or more items can be compared to cross points, which allows for at the minimum anecdotal evidence of a connection. It should be noted not all line graphs will have the same starting point on a linear graph representing a longitudinal study. The creation of a start point along the axis can demonstrate the continuation or inclusion of different data in time.The final benefit, as odd as it sounds, is the universal color reproduction of the line graph. Line graphs allow for many more ways to represent the data points. A bar graph can use color to differ between compared items, but colors do not always translate across different print mediums. However, line graphs can use color or different line styles such as dots or dashes. While it seems like a simple item, this advantage allows line graphs to better transfer to black/white paper print</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582909</link>
         <description><![CDATA[]]></description>
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         <pubDate>2018-07-19 03:32:40 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582909</guid>
      </item>
      <item>
         <title>to see percentage of some things</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582945</link>
         <description><![CDATA[]]></description>
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         <pubDate>2018-07-19 03:33:02 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582945</guid>
      </item>
      <item>
         <title>easy to understand.</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582954</link>
         <description><![CDATA[]]></description>
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         <pubDate>2018-07-19 03:33:07 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270582954</guid>
      </item>
      <item>
         <title>hi</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583019</link>
         <description><![CDATA[]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:33:54 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583019</guid>
      </item>
      <item>
         <title>display relative proportions of multiple classes of data.</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583025</link>
         <description><![CDATA[]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:33:58 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583025</guid>
      </item>
      <item>
         <title>:]</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583030</link>
         <description><![CDATA[]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:34:01 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583030</guid>
      </item>
      <item>
         <title>lo,</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583035</link>
         <description><![CDATA[]]></description>
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         <pubDate>2018-07-19 03:34:03 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583035</guid>
      </item>
      <item>
         <title>i can understand better when i use pie chart</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583045</link>
         <description><![CDATA[]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:34:11 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583045</guid>
      </item>
      <item>
         <title>One of the benefits are,</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583050</link>
         <description><![CDATA[<div>to know the amount  of something via percentage.<br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:34:13 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583050</guid>
      </item>
      <item>
         <title>identify the percentage easily</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583063</link>
         <description><![CDATA[]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:34:20 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583063</guid>
      </item>
      <item>
         <title>https://docs.google.com/forms/d/1htBppyb0NRBO3Hu8mWkbtB8piU6Lw7i_3hLi3EuF1Vk/edit?ts=5b3a1656</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583077</link>
         <description><![CDATA[]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:34:28 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583077</guid>
      </item>
      <item>
         <title>can identify things better</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583078</link>
         <description><![CDATA[]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:34:29 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583078</guid>
      </item>
      <item>
         <title>:3</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583079</link>
         <description><![CDATA[<div><br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:34:29 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583079</guid>
      </item>
      <item>
         <title>you can use it to find out </title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583081</link>
         <description><![CDATA[]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:34:34 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583081</guid>
      </item>
      <item>
         <title>HAI</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583102</link>
         <description><![CDATA[]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:34:55 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583102</guid>
      </item>
      <item>
         <title>Benefits of Line Graphs</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583103</link>
         <description><![CDATA[<div>&nbsp;<strong>Line Graph</strong>. A <strong>line graph</strong> is commonly used to display change over time as a series of data points connected by straight <strong>line</strong> segments on two axes. The <strong>line graph</strong> therefore helps to determine the relationship between two sets of values, with one data set always being dependent on the other set.&nbsp;<br><br>By: Max&nbsp;Er</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:34:55 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583103</guid>
      </item>
      <item>
         <title></title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583146</link>
         <description><![CDATA[display relative proportions of multiple classes of data.]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:35:33 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583146</guid>
      </item>
      <item>
         <title>neb</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583164</link>
         <description><![CDATA[<div><a href="https://www.google.com.sg/url?sa=i&amp;source=images&amp;cd=&amp;cad=rja&amp;uact=8&amp;ved=2ahUKEwjN-P_4narcAhWMNo8KHd_JD2kQjRx6BAgBEAU&amp;url=https%3A%2F%2Fjohnnysph.com%2Fworth-sharing%2Fpizza-pie-chart%2F&amp;psig=AOvVaw0i6FCYnyPvY0l7NdoGBD8q&amp;ust=1532057730835408">https://www.google.com.sg/url?sa=i&amp;source=images&amp;cd=&amp;cad=rja&amp;uact=8&amp;ved=2ahUKEwjN-P_4narcAhWMNo8KHd_JD2kQjRx6BAgBEAU&amp;url=https%3A%2F%2Fjohnnysph.com%2Fworth-sharing%2Fpizza-pie-chart%2F&amp;psig=AOvVaw0i6FCYnyPvY0l7NdoGBD8q&amp;ust=1532057730835408</a></div>]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:35:43 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583164</guid>
      </item>
      <item>
         <title>i loveu</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583236</link>
         <description><![CDATA[]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:36:42 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583236</guid>
      </item>
      <item>
         <title>hi</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583302</link>
         <description><![CDATA[]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:37:27 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583302</guid>
      </item>
      <item>
         <title>hi.</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583316</link>
         <description><![CDATA[<div>my friends are&nbsp;<br>vaishnavi<br>khalisah<br>christine<br>nadra<br>dhanya<br>guess who i am?</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:37:45 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583316</guid>
      </item>
      <item>
         <title>Bar graphs are used to compare things between different groups or to track changes over time. However, when trying to measure change over time, bar graphs are best when the changes are larger.</title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583561</link>
         <description><![CDATA[]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:41:41 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583561</guid>
      </item>
      <item>
         <title>Line graph </title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583566</link>
         <description><![CDATA[<div><br>In the <a href="https://en.wikipedia.org/wiki/Mathematics">mathematical</a> discipline of <a href="https://en.wikipedia.org/wiki/Graph_theory">graph theory</a>, the <strong>line graph</strong> of an <a href="https://en.wikipedia.org/wiki/Undirected_graph">undirected graph</a> <em>G</em> is another graph <em>L</em>(<em>G</em>) that represents the adjacencies between <a href="https://en.wikipedia.org/wiki/Edge_(graph_theory)">edges</a> of <em>G</em>. The name line graph comes from a paper by <a href="https://en.wikipedia.org/wiki/Line_graph#CITEREFHararyNorman1960">Harary &amp; Norman (1960)</a> although both <a href="https://en.wikipedia.org/wiki/Line_graph#CITEREFWhitney1932">Whitney (1932)</a> and <a href="https://en.wikipedia.org/wiki/Line_graph#CITEREFKrausz1943">Krausz (1943)</a> used the construction before this.<a href="https://en.wikipedia.org/wiki/Line_graph#cite_note-FOOTNOTEHemmingerBeineke1978273-1"><sup>[1]</sup></a> Other terms used for the line graph include the <strong>covering graph</strong>, the <strong>derivative</strong>, the <strong>edge-to-vertex dual</strong>, the <strong>conjugate</strong>, the <strong>representative graph</strong>, and the <strong>ϑ-obrazom</strong>,<a href="https://en.wikipedia.org/wiki/Line_graph#cite_note-FOOTNOTEHemmingerBeineke1978273-1"><sup>[1]</sup></a> as well as the <strong>edge graph</strong>, the <strong>interchange graph</strong>, the <strong>adjoint graph</strong>, and the <strong>derived graph</strong>.<a href="https://en.wikipedia.org/wiki/Line_graph#cite_note-h72-71-2"><sup>[2]<br></sup></a><br></div><div><a href="https://en.wikipedia.org/wiki/Hassler_Whitney"><br>Hassler Whitney</a> (<a href="https://en.wikipedia.org/wiki/Line_graph#CITEREFWhitney1932">1932</a>) proved that with one exceptional case the structure of a <a href="https://en.wikipedia.org/wiki/Connected_graph">connected graph</a> <em>G</em> can be recovered completely from its line graph.<a href="https://en.wikipedia.org/wiki/Line_graph#cite_note-whitney-3"><sup>[3]</sup></a> Many other properties of line graphs follow by translating the properties of the underlying graph from vertices into edges, and by Whitney's theorem the same translation can also be done in the other direction. Line graphs are <a href="https://en.wikipedia.org/wiki/Claw-free_graph">claw-free</a>, and the line graphs of <a href="https://en.wikipedia.org/wiki/Bipartite_graph">bipartite graphs</a> are <a href="https://en.wikipedia.org/wiki/Perfect_graph">perfect</a>. Line graphs are characterized by nine <a href="https://en.wikipedia.org/wiki/Forbidden_graph_characterization">forbidden subgraphs</a> and can be recognized in <a href="https://en.wikipedia.org/wiki/Linear_time">linear time</a>.<br><br></div><div><br>Various extensions of the concept of a line graph have been studied, including line graphs of line graphs, line graphs of multigraphs, line graphs of hypergraphs, and line graphs of weighted graphs.<br><a href="https://drawception.com/game/qeYabO6gTS/3%E3%80%8D%E2%88%A0/">_(:3」∠)__(:3」∠)__(:3」∠)_</a><br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:41:50 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583566</guid>
      </item>
      <item>
         <title></title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583598</link>
         <description><![CDATA[<div>Line graphs are used to track changes over short and long periods of time. When smaller changes exist, line graphs are better to use than bar graphs. Line graphs can also be used to compare changes over the same period of time for more than one group</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:42:40 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583598</guid>
      </item>
      <item>
         <title></title>
         <author></author>
         <link>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583691</link>
         <description><![CDATA[<div>Pie charts are best to use when you are trying to compare parts of a whole. They do not show changes over time.</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-07-19 03:43:54 UTC</pubDate>
         <guid>https://padlet.com/huangyaosheng1/1vr1r0t1u8b9/wish/270583691</guid>
      </item>
      <item>
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