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    <title>topic Re: Statistics over many datasets in New SAS User</title>
    <link>https://communities.sas.com/t5/New-SAS-User/Statistics-over-many-datasets/m-p/599541#M16523</link>
    <description>&lt;P&gt;There are two approaches, one is to combine the data and then summarize or to summarize and combine the results. &lt;BR /&gt;&lt;BR /&gt;You also need to break down your variables by different categories/levels it seems. ie Cost is broken down by year whereas age is broken down by some sort of colour it seems. &lt;BR /&gt;&lt;BR /&gt;I would probably summarize all my data sets individually and then combine them since there are different criteria. PROC MEANS is the swiss army knife for general statistical summaries. &lt;BR /&gt;&lt;BR /&gt;Here's a tutorial on calculating summary statistics and how to save those values to datasets. &lt;BR /&gt;&lt;BR /&gt;&lt;A href="https://github.com/statgeek/SAS-Tutorials/blob/master/proc_means_basic.sas" target="_blank" rel="noopener"&gt;https://github.com/statgeek/SAS-Tutorials/blob/master/proc_means_basic.sas&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/294547"&gt;@Emma8&lt;/a&gt;&amp;nbsp;wrote:&lt;BR /&gt;
&lt;P&gt;Hi. Can anyone help me with the following:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I have about 10 datasets. I want to report N, Mean, Median (95%) for one "numeric variable" (a different numeric variable for each dataset, for example, one data contains age, another contains cost etc. ) by one "CLASS" (for example, race for the first data, year for the second), the output should look as below:&lt;/P&gt;
&lt;P&gt;Variable&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; Statistics&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&lt;/P&gt;
&lt;P&gt;Age&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp;White&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;N&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;4&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Mean&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;45&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Median&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 43 (42 - 45)&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp;Black&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;N&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 4&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Mean&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;44&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Median&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 40 (39 - 45)&lt;/P&gt;
&lt;P&gt;Cost&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; 2001&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; N&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 3&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; Mean&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;90&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; Median&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 120 (100 -200)&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp;2002&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;ETC.&lt;/P&gt;
&lt;P&gt;Thank you.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Sat, 26 Oct 2019 16:20:57 GMT</pubDate>
    <dc:creator>Reeza</dc:creator>
    <dc:date>2019-10-26T16:20:57Z</dc:date>
    <item>
      <title>Statistics over many datasets</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Statistics-over-many-datasets/m-p/599442#M16497</link>
      <description>&lt;P&gt;Hi. Can anyone help me with the following:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have about 10 datasets. I want to report N, Mean, Median (95%) for one "numeric variable" (a different numeric variable for each dataset, for example, one data contains age, another contains cost etc. ) by one "CLASS" (for example, race for the first data, year for the second), the output should look as below:&lt;/P&gt;&lt;P&gt;Variable&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; Statistics&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&lt;/P&gt;&lt;P&gt;Age&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp;White&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;N&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;4&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Mean&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;45&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Median&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 43 (42 - 45)&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp;Black&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;N&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 4&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Mean&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;44&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Median&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 40 (39 - 45)&lt;/P&gt;&lt;P&gt;Cost&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp; 2001&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; N&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 3&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; Mean&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;90&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; Median&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 120 (100 -200)&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp;2002&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;ETC.&lt;/P&gt;&lt;P&gt;Thank you.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 25 Oct 2019 20:03:05 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Statistics-over-many-datasets/m-p/599442#M16497</guid>
      <dc:creator>Emma8</dc:creator>
      <dc:date>2019-10-25T20:03:05Z</dc:date>
    </item>
    <item>
      <title>Re: Statistics over many datasets</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Statistics-over-many-datasets/m-p/599444#M16498</link>
      <description>&lt;P&gt;My first question would be if all this needs to be in a single report why is it in different data sets? And is that desired output supposed to be a single table??&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 25 Oct 2019 20:23:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Statistics-over-many-datasets/m-p/599444#M16498</guid>
      <dc:creator>ballardw</dc:creator>
      <dc:date>2019-10-25T20:23:03Z</dc:date>
    </item>
    <item>
      <title>Re: Statistics over many datasets</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Statistics-over-many-datasets/m-p/599447#M16500</link>
      <description>&lt;P&gt;Thank you.&lt;/P&gt;&lt;P&gt;I have many datasets but want to report just as one table.&lt;/P&gt;</description>
      <pubDate>Fri, 25 Oct 2019 20:33:15 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Statistics-over-many-datasets/m-p/599447#M16500</guid>
      <dc:creator>Emma8</dc:creator>
      <dc:date>2019-10-25T20:33:15Z</dc:date>
    </item>
    <item>
      <title>Re: Statistics over many datasets</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Statistics-over-many-datasets/m-p/599541#M16523</link>
      <description>&lt;P&gt;There are two approaches, one is to combine the data and then summarize or to summarize and combine the results. &lt;BR /&gt;&lt;BR /&gt;You also need to break down your variables by different categories/levels it seems. ie Cost is broken down by year whereas age is broken down by some sort of colour it seems. &lt;BR /&gt;&lt;BR /&gt;I would probably summarize all my data sets individually and then combine them since there are different criteria. PROC MEANS is the swiss army knife for general statistical summaries. &lt;BR /&gt;&lt;BR /&gt;Here's a tutorial on calculating summary statistics and how to save those values to datasets. &lt;BR /&gt;&lt;BR /&gt;&lt;A href="https://github.com/statgeek/SAS-Tutorials/blob/master/proc_means_basic.sas" target="_blank" rel="noopener"&gt;https://github.com/statgeek/SAS-Tutorials/blob/master/proc_means_basic.sas&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/294547"&gt;@Emma8&lt;/a&gt;&amp;nbsp;wrote:&lt;BR /&gt;
&lt;P&gt;Hi. Can anyone help me with the following:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I have about 10 datasets. I want to report N, Mean, Median (95%) for one "numeric variable" (a different numeric variable for each dataset, for example, one data contains age, another contains cost etc. ) by one "CLASS" (for example, race for the first data, year for the second), the output should look as below:&lt;/P&gt;
&lt;P&gt;Variable&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; Statistics&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&lt;/P&gt;
&lt;P&gt;Age&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp;White&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;N&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;4&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Mean&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;45&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Median&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 43 (42 - 45)&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp;Black&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;N&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 4&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Mean&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;44&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Median&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 40 (39 - 45)&lt;/P&gt;
&lt;P&gt;Cost&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; 2001&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; N&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 3&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; Mean&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;90&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; Median&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 120 (100 -200)&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp;2002&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;ETC.&lt;/P&gt;
&lt;P&gt;Thank you.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sat, 26 Oct 2019 16:20:57 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Statistics-over-many-datasets/m-p/599541#M16523</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2019-10-26T16:20:57Z</dc:date>
    </item>
    <item>
      <title>Re: Statistics over many datasets</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Statistics-over-many-datasets/m-p/599565#M16527</link>
      <description>&lt;P&gt;Thank you. But this isn’t what I want. I will use proc summary or proc means, but I want to know the sas codeabout looping over multiple dataset and save the results and report as one table report.&lt;/P&gt;</description>
      <pubDate>Sat, 26 Oct 2019 20:37:32 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Statistics-over-many-datasets/m-p/599565#M16527</guid>
      <dc:creator>Emma8</dc:creator>
      <dc:date>2019-10-26T20:37:32Z</dc:date>
    </item>
    <item>
      <title>Re: Statistics over many datasets</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Statistics-over-many-datasets/m-p/599601#M16530</link>
      <description>&lt;P&gt;Given what you've posted I don't think that's possible because your variables differ in too many respects. &lt;BR /&gt;&lt;BR /&gt;Here's an example on how to create a table of charateristics for a single data set. &lt;BR /&gt;&lt;A href="https://gist.github.com/statgeek/2f27939fd72d1dd7d8c8669cd39d7e67" target="_blank" rel="noopener"&gt;https://gist.github.com/statgeek/2f27939fd72d1dd7d8c8669cd39d7e67&lt;/A&gt;&lt;BR /&gt;&lt;BR /&gt;And here's a tutorial on looping over macro variables:&lt;BR /&gt;&lt;A href="https://gist.github.com/statgeek/9603186" target="_blank" rel="noopener"&gt;https://gist.github.com/statgeek/9603186&lt;/A&gt;&lt;BR /&gt;&lt;A href="https://gist.github.com/statgeek/1a8e008ecc2fe47e03c3d0022c361e78" target="_blank" rel="noopener"&gt;https://gist.github.com/statgeek/1a8e008ecc2fe47e03c3d0022c361e78&lt;/A&gt;&lt;BR /&gt;&lt;BR /&gt;And one on creating a macro:&lt;BR /&gt;&lt;A href="https://github.com/statgeek/SAS-Tutorials/blob/master/Turning%20a%20program%20into%20a%20macro.md" target="_blank" rel="noopener"&gt;https://github.com/statgeek/SAS-Tutorials/blob/master/Turning%20a%20program%20into%20a%20macro.md&lt;/A&gt;&lt;BR /&gt;&lt;BR /&gt;To combine data sets together use PROC APPEND. &lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;</description>
      <pubDate>Sun, 27 Oct 2019 03:13:29 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Statistics-over-many-datasets/m-p/599601#M16530</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2019-10-27T03:13:29Z</dc:date>
    </item>
    <item>
      <title>Re: Statistics over many datasets</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Statistics-over-many-datasets/m-p/599608#M16531</link>
      <description>&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/294547"&gt;@Emma8&lt;/a&gt;&amp;nbsp;wrote:&lt;BR /&gt;
&lt;P&gt;Thank you. But this isn’t what I want. I will use proc summary or proc means, but I want to know the sas codeabout looping over multiple dataset and save the results and report as one table report.&lt;/P&gt;
&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;
&lt;P&gt;You haven't described a problem that would benefit from any looping.&amp;nbsp; You want to calculate different statistics from different tables.&amp;nbsp; So do that.&amp;nbsp; You might find it useful to put the results into a dataset that will make it easy to produce the report you show.&amp;nbsp; Why not follow the model shown in this classic paper:&amp;nbsp;&amp;nbsp;&lt;A href="https://www.lexjansen.com/pharmasug/2010/TT/TT05.pdf" target="_blank"&gt;https://www.lexjansen.com/pharmasug/2010/TT/TT05.pdf&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sun, 27 Oct 2019 04:00:55 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Statistics-over-many-datasets/m-p/599608#M16531</guid>
      <dc:creator>Tom</dc:creator>
      <dc:date>2019-10-27T04:00:55Z</dc:date>
    </item>
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