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LeonardoPo
May 21, 2025
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Out of scale value

  • May 21, 2025
  • 2 replies
  • 424 views

Hello,

Have you ever experienced an outlier in the line chat that makes you impossible to read the normal values? 

I'm referring to this chart

 

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    Best answer by Jennifer_Dungan

    Yes.

     

    I am assuming that was an invalid spike? And not something like a one day flash sale or something that went viral causing a real spike?

     

     

    Sometimes what I will do, is to create an ad hoc segment to identify fraudulent spike data and exclude it within the report. I try to limit this to only the day/time where the spike occurred (using the Day / Hour / Hour of Day / etc dimensions to "time block" it). I will make a text note saying that the exclusion rule may not be 100% accurate, but to it was done to the best of my ability to "right size" the data.

    2 replies

    Imbalakumar
    Imbalakumar
    May 21, 2025

    Hi @leonardopo  

     

    Yes, I do experiences when the data is deviated lot from the normal trend. In these cases, exclude that deviated data(percent in this case), then you will align the trend like the below

     

     

    Its normal while we get tracking or calculated metrics like this.

     

    Thanks,

    Bala

      Jennifer_Dungan
      Community Advisor and Adobe Champion
      Jennifer_DunganCommunity Advisor and Adobe ChampionAccepted solution
      Community Advisor and Adobe Champion
      May 24, 2025

      Yes.

       

      I am assuming that was an invalid spike? And not something like a one day flash sale or something that went viral causing a real spike?

       

       

      Sometimes what I will do, is to create an ad hoc segment to identify fraudulent spike data and exclude it within the report. I try to limit this to only the day/time where the spike occurred (using the Day / Hour / Hour of Day / etc dimensions to "time block" it). I will make a text note saying that the exclusion rule may not be 100% accurate, but to it was done to the best of my ability to "right size" the data.

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