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    <title>topic Re: SAS Datasets - background info in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/SAS-Datasets-background-info/m-p/231973#M3292</link>
    <description>&lt;P&gt;Hi,&lt;/P&gt;
&lt;P&gt;Where are these data sets? I should know this, right?&lt;/P&gt;
&lt;P&gt;I could not find these data sets&amp;nbsp;in my go-to libraries (sashelp and sampsio) but I vaguely remember them from the course Advanced Analytics Using SAS Enterprise Miner.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;What I do most of the time when I want to find more about a data set is to google the names of the variables. For example for the Home Equity data set (sampsio.hmeq) if you google "LOAN DELINQ LOAN MORTDUE data set", you find a link to a description of the repository that first published this (or a similar) data set. There might be a better way to do this, but this might get you started while someone posts the ultimate way to find better descriptions.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;As an alternative, you can contact the instructor for the class if this is where you get the data from.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Good luck!&lt;/P&gt;
&lt;P&gt;-Miguel&lt;/P&gt;</description>
    <pubDate>Wed, 28 Oct 2015 12:18:19 GMT</pubDate>
    <dc:creator>M_Maldonado</dc:creator>
    <dc:date>2015-10-28T12:18:19Z</dc:date>
    <item>
      <title>SAS Datasets - background info</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/SAS-Datasets-background-info/m-p/231883#M3290</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;Can you tell me where I can find background info about the datasets listed in SAS Enterprise Miner? I don't know what some of the variables mean. I am currently looking at &amp;nbsp;'Organics', 'Subscriber', 'Inq2005', 'creditbureau', and 'credit'. It would be helpful to have background about the dataset so I can understand it.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;For example, in the 'Subscribers' dataset, the credit type &amp;nbsp;columns have the acronyms -- N , V &amp;nbsp;listed. I dont know what they mean.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Bonita&lt;/P&gt;</description>
      <pubDate>Tue, 27 Oct 2015 18:00:53 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/SAS-Datasets-background-info/m-p/231883#M3290</guid>
      <dc:creator>bonitajw</dc:creator>
      <dc:date>2015-10-27T18:00:53Z</dc:date>
    </item>
    <item>
      <title>Re: SAS Datasets - background info</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/SAS-Datasets-background-info/m-p/231973#M3292</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;
&lt;P&gt;Where are these data sets? I should know this, right?&lt;/P&gt;
&lt;P&gt;I could not find these data sets&amp;nbsp;in my go-to libraries (sashelp and sampsio) but I vaguely remember them from the course Advanced Analytics Using SAS Enterprise Miner.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;What I do most of the time when I want to find more about a data set is to google the names of the variables. For example for the Home Equity data set (sampsio.hmeq) if you google "LOAN DELINQ LOAN MORTDUE data set", you find a link to a description of the repository that first published this (or a similar) data set. There might be a better way to do this, but this might get you started while someone posts the ultimate way to find better descriptions.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;As an alternative, you can contact the instructor for the class if this is where you get the data from.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Good luck!&lt;/P&gt;
&lt;P&gt;-Miguel&lt;/P&gt;</description>
      <pubDate>Wed, 28 Oct 2015 12:18:19 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/SAS-Datasets-background-info/m-p/231973#M3292</guid>
      <dc:creator>M_Maldonado</dc:creator>
      <dc:date>2015-10-28T12:18:19Z</dc:date>
    </item>
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