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    <title>topic Pulldata Expression not Working in ArcGIS Survey123 Questions</title>
    <link>https://community.esri.com/t5/arcgis-survey123-questions/pulldata-expression-not-working/m-p/724304#M676</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I've tried everything I could think of to get this expression to work but it seems like it only looks at the choice tab, not the CSV I have saved in the media folder. I'm hoping someone can see what I'm doing wrong. I have attached both files to this post.&amp;nbsp;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Fri, 07 Feb 2020 22:22:03 GMT</pubDate>
    <dc:creator>Whitney_Covill</dc:creator>
    <dc:date>2020-02-07T22:22:03Z</dc:date>
    <item>
      <title>Pulldata Expression not Working</title>
      <link>https://community.esri.com/t5/arcgis-survey123-questions/pulldata-expression-not-working/m-p/724304#M676</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I've tried everything I could think of to get this expression to work but it seems like it only looks at the choice tab, not the CSV I have saved in the media folder. I'm hoping someone can see what I'm doing wrong. I have attached both files to this post.&amp;nbsp;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 07 Feb 2020 22:22:03 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-survey123-questions/pulldata-expression-not-working/m-p/724304#M676</guid>
      <dc:creator>Whitney_Covill</dc:creator>
      <dc:date>2020-02-07T22:22:03Z</dc:date>
    </item>
    <item>
      <title>Re: Pulldata Expression not Working</title>
      <link>https://community.esri.com/t5/arcgis-survey123-questions/pulldata-expression-not-working/m-p/724305#M677</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi Whitney,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I'm guessing that you'd like to select a 'shot' in your survey and pre-populate the 'elevation' and 'description' fields based on the values in your 'JobFile.csv'?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;If so, you'll need to add a choice list that contains the 'shot' values that can be used as a lookup: 1000, 1001 &amp;amp; 1002. Then add the extra fields to your survey to store these pre-populated values in and use a calculation like pulldata('JobFile','Elevation','Shot',${shot}).&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;You currently don't have a choice list to use, you only have 3 parameters in your pulldata function (they require 4) and it appears that your CSV file is corrupt. More details on what parameters to use can be found here in the &lt;A href="https://doc.arcgis.com/en/survey123/desktop/create-surveys/xlsformformulas.htm#ESRI_SECTION1_A3C2F3566F974734B55ECECD31C6CA91"&gt;Documentation&lt;/A&gt;. I've attached a simplified example of your XLSForm that will hopefully get you on the right track. Remember to ensure that your CSV is not corrupt and saved in the 'media' folder.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;If you let me know exactly what you're trying to achieve I can try to assist further.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Best regards,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Brett&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;IMG class="image-1 jive-image" src="https://community.esri.com/legacyfs/online/481921_pastedImage_1.png" /&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 11 Feb 2020 21:16:48 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-survey123-questions/pulldata-expression-not-working/m-p/724305#M677</guid>
      <dc:creator>BrettStokes</dc:creator>
      <dc:date>2020-02-11T21:16:48Z</dc:date>
    </item>
    <item>
      <title>Re: Pulldata Expression not Working</title>
      <link>https://community.esri.com/t5/arcgis-survey123-questions/pulldata-expression-not-working/m-p/724306#M678</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi Brett&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I was also struggling with the pulldata function and saw your post.&amp;nbsp; I just cannot get it right, even with simple examples and can't see what the problem is.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;JobFile.csv&lt;/P&gt;&lt;P&gt;&lt;IMG 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" /&gt;&lt;/P&gt;&lt;P&gt;&lt;IMG 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" 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" /&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks in advance.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Kind Regards,&lt;/P&gt;&lt;P&gt;Emmerentia&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 03 Mar 2020 08:34:25 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-survey123-questions/pulldata-expression-not-working/m-p/724306#M678</guid>
      <dc:creator>EmmerentiaSmit</dc:creator>
      <dc:date>2020-03-03T08:34:25Z</dc:date>
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