<?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 Data Spillovers in QlikView</title>
    <link>https://community.qlik.com/t5/QlikView/Data-Spillovers/m-p/833219#M293164</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I am importing a large dataset that has spillover issues, e.g. the field CITY has some numerical values, garbage values etc. Now is there way I can keep these CITY values as blanks? I don't want to skip all the fields, just to make the CITY as blanks where it finds numbers or special characters like #, &amp;amp;* &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 11 May 2015 13:12:33 GMT</pubDate>
    <dc:creator>Anonymous</dc:creator>
    <dc:date>2015-05-11T13:12:33Z</dc:date>
    <item>
      <title>Data Spillovers</title>
      <link>https://community.qlik.com/t5/QlikView/Data-Spillovers/m-p/833219#M293164</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I am importing a large dataset that has spillover issues, e.g. the field CITY has some numerical values, garbage values etc. Now is there way I can keep these CITY values as blanks? I don't want to skip all the fields, just to make the CITY as blanks where it finds numbers or special characters like #, &amp;amp;* &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 11 May 2015 13:12:33 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Data-Spillovers/m-p/833219#M293164</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2015-05-11T13:12:33Z</dc:date>
    </item>
    <item>
      <title>Re: Data Spillovers</title>
      <link>https://community.qlik.com/t5/QlikView/Data-Spillovers/m-p/833220#M293165</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Wildmatch can help you.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 11 May 2015 13:14:27 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Data-Spillovers/m-p/833220#M293165</guid>
      <dc:creator>sujeetsingh</dc:creator>
      <dc:date>2015-05-11T13:14:27Z</dc:date>
    </item>
    <item>
      <title>Re: Data Spillovers</title>
      <link>https://community.qlik.com/t5/QlikView/Data-Spillovers/m-p/833221#M293166</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;try like this&lt;/P&gt;&lt;P&gt;Data:&lt;/P&gt;&lt;P&gt;LOAD PurgeChar(City,'@*#') as City;&lt;/P&gt;&lt;P&gt;LOAD * Inline&lt;/P&gt;&lt;P&gt;[&lt;/P&gt;&lt;P&gt;City&lt;/P&gt;&lt;P&gt;Chennai&lt;/P&gt;&lt;P&gt;Chennai#&lt;/P&gt;&lt;P&gt;Hyd@&lt;/P&gt;&lt;P&gt;Bangalore*&lt;/P&gt;&lt;P&gt;];&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 11 May 2015 13:18:26 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Data-Spillovers/m-p/833221#M293166</guid>
      <dc:creator>sunilkumarqv</dc:creator>
      <dc:date>2015-05-11T13:18:26Z</dc:date>
    </item>
    <item>
      <title>Re: Data Spillovers</title>
      <link>https://community.qlik.com/t5/QlikView/Data-Spillovers/m-p/833222#M293167</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;This will replace bad values in CITY, the ones containing a character listed in the FindOneOf second argument, with an empty string to a field called CleanCity.&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-family: 'courier new', courier;"&gt;LOAD If(FindOneOf(City,'0123456789*!"#¤%&amp;amp;/'),City, '') As CleanCity;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;You can of course add more characters to screen for.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 11 May 2015 13:26:22 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Data-Spillovers/m-p/833222#M293167</guid>
      <dc:creator>Ralf-Narfeldt</dc:creator>
      <dc:date>2015-05-11T13:26:22Z</dc:date>
    </item>
    <item>
      <title>Re: Data Spillovers</title>
      <link>https://community.qlik.com/t5/QlikView/Data-Spillovers/m-p/833223#M293168</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thanks guys, appreciate the help&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 12 May 2015 12:50:19 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Data-Spillovers/m-p/833223#M293168</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2015-05-12T12:50:19Z</dc:date>
    </item>
    <item>
      <title>Re: Data Spillovers</title>
      <link>https://community.qlik.com/t5/QlikView/Data-Spillovers/m-p/833224#M293169</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Great! Please mark answers as Helpful or Answered!&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 12 May 2015 12:52:14 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Data-Spillovers/m-p/833224#M293169</guid>
      <dc:creator>Ralf-Narfeldt</dc:creator>
      <dc:date>2015-05-12T12:52:14Z</dc:date>
    </item>
  </channel>
</rss>

