<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Missing Values in Streaming Analytics</title>
    <link>https://communities.sas.com/t5/Streaming-Analytics/Missing-Values/m-p/544202#M139</link>
    <description>&lt;P&gt;How can I detect and treat missing values for qualitative variables ? For quantitative data, I can detect with N and Nmiss and replace them 0 or Mean. Do we have some procedure for qualitative variables as well ?&lt;/P&gt;</description>
    <pubDate>Tue, 19 Mar 2019 10:55:48 GMT</pubDate>
    <dc:creator>sanyam13</dc:creator>
    <dc:date>2019-03-19T10:55:48Z</dc:date>
    <item>
      <title>Missing Values</title>
      <link>https://communities.sas.com/t5/Streaming-Analytics/Missing-Values/m-p/544202#M139</link>
      <description>&lt;P&gt;How can I detect and treat missing values for qualitative variables ? For quantitative data, I can detect with N and Nmiss and replace them 0 or Mean. Do we have some procedure for qualitative variables as well ?&lt;/P&gt;</description>
      <pubDate>Tue, 19 Mar 2019 10:55:48 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Streaming-Analytics/Missing-Values/m-p/544202#M139</guid>
      <dc:creator>sanyam13</dc:creator>
      <dc:date>2019-03-19T10:55:48Z</dc:date>
    </item>
    <item>
      <title>Re: Missing Values</title>
      <link>https://communities.sas.com/t5/Streaming-Analytics/Missing-Values/m-p/544206#M140</link>
      <description>&lt;P&gt;Detecting:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc format;
   value $missfmt  ' ' = 'missing' other='present';
run;
proc freq data=have;
   tables varname / missing;
   format varname $missfmt.;
run;

&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;&lt;BR /&gt;Fixing is up to you. There is no standard method. It depends on what you intend to do with the data. The most common option is to do nothing. Why would a missing qualitative value need to be replaced? At any rate, this is a valid DATA step statement:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;if varname = ' ' then varname = 'N/A';&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Tue, 19 Mar 2019 11:10:26 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Streaming-Analytics/Missing-Values/m-p/544206#M140</guid>
      <dc:creator>Astounding</dc:creator>
      <dc:date>2019-03-19T11:10:26Z</dc:date>
    </item>
  </channel>
</rss>

