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Hello,

In the data source node in EM what is the purpose of the Lower Limit and upper Limit columns?

I have tried to put a lower and upper value to a variable and i thought that only the cases with a variable value between the created interval would be used considered in subsequent nodes but this is not the case (all values are considered).

Is it just for informational purposes (i.e. the user manually assigns values for the lower and upper limit and these values do not play any role in the analysis)?

Thnaks in advance,

Andreas

1 ACCEPTED SOLUTION

Accepted Solutions
adjgiulio
Obsidian | Level 7

Think of the data source as metadata (data about the data). You're defining characteristics of the dataset and its variables. These characteristics can be leveraged later on through other nodes. For instance, if you defined lower and upper limits, then you could add a filter node and choose "Metadata limits" as default filtering method. That would essentially do what you had hoped the data source node would automatically do for you. The advantage of this approach is that it gives you a lot more flexibility in how you use limits. You can use them to filter through a filter node, you could replace values outside of your limits with a replacement node and so forth.


G

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2 REPLIES 2
adjgiulio
Obsidian | Level 7

Think of the data source as metadata (data about the data). You're defining characteristics of the dataset and its variables. These characteristics can be leveraged later on through other nodes. For instance, if you defined lower and upper limits, then you could add a filter node and choose "Metadata limits" as default filtering method. That would essentially do what you had hoped the data source node would automatically do for you. The advantage of this approach is that it gives you a lot more flexibility in how you use limits. You can use them to filter through a filter node, you could replace values outside of your limits with a replacement node and so forth.


G

andreas_zaras
Pyrite | Level 9

Thanks very much!

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