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    <title>topic Re: Best approach to join incomplete time series data in Alteryx Designer Desktop Discussions</title>
    <link>https://community.alteryx.com/t5/Alteryx-Designer-Desktop-Discussions/Best-approach-to-join-incomplete-time-series-data/m-p/538962#M115656</link>
    <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.alteryx.com/t5/user/viewprofilepage/user-id/136196"&gt;@mi_schmidt&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;in my understanding, you have different sensors (A, B) at different positions (110, 115, 121) sending a signal, if change hanppens. If that is true, you could use a Multi-Row Formula tool to fill the gaps (sensor B at position 110 as the specific values at 00:26:00 until 01:00:00, this is the next entry, values unchanged, Multi-Row Formula could fill in the values registered at 00:26:00 up to 00:59:00, repeat the process starting at 01:00:00 to the next entry).&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;But - to be honest - I was only guessing, so a little bit more backgroupn would be helpful. What do you think?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Best,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Roland&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Mon, 09 Mar 2020 15:12:48 GMT</pubDate>
    <dc:creator>RolandSchubert</dc:creator>
    <dc:date>2020-03-09T15:12:48Z</dc:date>
    <item>
      <title>Best approach to join incomplete time series data</title>
      <link>https://community.alteryx.com/t5/Alteryx-Designer-Desktop-Discussions/Best-approach-to-join-incomplete-time-series-data/m-p/538926#M115645</link>
      <description>&lt;P&gt;Hi Alteryx Community,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I'm often challenged with time series data from sensors where the sensors just send a new value when a hange has happend. That results in arbitrarily time intervalls between two values. My goal is to analyze and visualize (in Tableau) the dependency of multiple parameters from different data streams.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="timeseries.PNG" style="width: 325px;"&gt;&lt;img src="https://community.alteryx.com/t5/image/serverpage/image-id/101872i97ED1B467964BBD3/image-size/large?v=v2&amp;amp;px=999" role="button" title="timeseries.PNG" alt="timeseries.PNG" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;So far I joined two of those data streams with a generated list of time steps, e.g. for each minute. Unfortunately, the complexity raises when additional parameters (in this example the &lt;EM&gt;Pos&lt;/EM&gt;) come into account.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="timeseries_workflow.PNG" style="width: 400px;"&gt;&lt;img src="https://community.alteryx.com/t5/image/serverpage/image-id/101875iB121A116B5FC7E3B/image-size/medium?v=v2&amp;amp;px=400" role="button" title="timeseries_workflow.PNG" alt="timeseries_workflow.PNG" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Do have any proposal to improve my current approach?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks in Advance for your help&lt;/P&gt;&lt;P&gt;Michael&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 09 Mar 2020 14:57:17 GMT</pubDate>
      <guid>https://community.alteryx.com/t5/Alteryx-Designer-Desktop-Discussions/Best-approach-to-join-incomplete-time-series-data/m-p/538926#M115645</guid>
      <dc:creator>mi_schmidt</dc:creator>
      <dc:date>2020-03-09T14:57:17Z</dc:date>
    </item>
    <item>
      <title>Re: Best approach to join incomplete time series data</title>
      <link>https://community.alteryx.com/t5/Alteryx-Designer-Desktop-Discussions/Best-approach-to-join-incomplete-time-series-data/m-p/538943#M115646</link>
      <description>&lt;P&gt;Have you looked into the TS Filler tool? This will help fill in any gaps within your data.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;A href="https://community.alteryx.com/t5/Alteryx-Designer-Knowledge-Base/Tool-Mastery-TS-Filler/ta-p/84642" target="_blank"&gt;https://community.alteryx.com/t5/Alteryx-Designer-Knowledge-Base/Tool-Mastery-TS-Filler/ta-p/84642&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 09 Mar 2020 15:01:37 GMT</pubDate>
      <guid>https://community.alteryx.com/t5/Alteryx-Designer-Desktop-Discussions/Best-approach-to-join-incomplete-time-series-data/m-p/538943#M115646</guid>
      <dc:creator>echuong1</dc:creator>
      <dc:date>2020-03-09T15:01:37Z</dc:date>
    </item>
    <item>
      <title>Re: Best approach to join incomplete time series data</title>
      <link>https://community.alteryx.com/t5/Alteryx-Designer-Desktop-Discussions/Best-approach-to-join-incomplete-time-series-data/m-p/538959#M115655</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks for your quick response.&amp;nbsp;&lt;/P&gt;&lt;P&gt;I haven't used the TS Fill+er tool yet and will give it a try!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks&lt;/P&gt;&lt;P&gt;Michael&lt;/P&gt;</description>
      <pubDate>Mon, 09 Mar 2020 15:12:24 GMT</pubDate>
      <guid>https://community.alteryx.com/t5/Alteryx-Designer-Desktop-Discussions/Best-approach-to-join-incomplete-time-series-data/m-p/538959#M115655</guid>
      <dc:creator>mi_schmidt</dc:creator>
      <dc:date>2020-03-09T15:12:24Z</dc:date>
    </item>
    <item>
      <title>Re: Best approach to join incomplete time series data</title>
      <link>https://community.alteryx.com/t5/Alteryx-Designer-Desktop-Discussions/Best-approach-to-join-incomplete-time-series-data/m-p/538962#M115656</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.alteryx.com/t5/user/viewprofilepage/user-id/136196"&gt;@mi_schmidt&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;in my understanding, you have different sensors (A, B) at different positions (110, 115, 121) sending a signal, if change hanppens. If that is true, you could use a Multi-Row Formula tool to fill the gaps (sensor B at position 110 as the specific values at 00:26:00 until 01:00:00, this is the next entry, values unchanged, Multi-Row Formula could fill in the values registered at 00:26:00 up to 00:59:00, repeat the process starting at 01:00:00 to the next entry).&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;But - to be honest - I was only guessing, so a little bit more backgroupn would be helpful. What do you think?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Best,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Roland&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 09 Mar 2020 15:12:48 GMT</pubDate>
      <guid>https://community.alteryx.com/t5/Alteryx-Designer-Desktop-Discussions/Best-approach-to-join-incomplete-time-series-data/m-p/538962#M115656</guid>
      <dc:creator>RolandSchubert</dc:creator>
      <dc:date>2020-03-09T15:12:48Z</dc:date>
    </item>
    <item>
      <title>Re: Best approach to join incomplete time series data</title>
      <link>https://community.alteryx.com/t5/Alteryx-Designer-Desktop-Discussions/Best-approach-to-join-incomplete-time-series-data/m-p/541822#M116520</link>
      <description>&lt;P&gt;Hi &lt;a href="https://community.alteryx.com/t5/user/viewprofilepage/user-id/9939"&gt;@RolandSchubert&lt;/a&gt;,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;thanks for your help.&lt;/P&gt;&lt;P&gt;Your assumptions are completly right and the solution should work as well. I tried the TS Filler and could achieve the desired results.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Best&lt;/P&gt;&lt;P&gt;Michael&lt;/P&gt;</description>
      <pubDate>Mon, 16 Mar 2020 11:13:55 GMT</pubDate>
      <guid>https://community.alteryx.com/t5/Alteryx-Designer-Desktop-Discussions/Best-approach-to-join-incomplete-time-series-data/m-p/541822#M116520</guid>
      <dc:creator>mi_schmidt</dc:creator>
      <dc:date>2020-03-16T11:13:55Z</dc:date>
    </item>
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