Do I need to use Beast Mode to filter data in this way?

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Yellow Belt

Do I need to use Beast Mode to filter data in this way?

I'm working on a sales dashboard and I've got a scenario where within a card I need to filter out pitches sent to internal staff unless they are tagged with a specific word (of 10 possibles) contained in a measure.

 

Is Beast Mode the solution and if so how would I do it? Any help much appreciated.

 

Cheers,

 

Danny

Major Brown Belt

Re: Do I need to use Beast Mode to filter data in this way?

Yes a beast mode should work out for that, I would also recommend adding that new calculated field to the filter and checking the "Quick Filters" box so that you can filter or unfilter it while on the card.

 

An option would be to use a case statement, something like

 

(CASE

WHEN `tag` = 'Internal tag #1' THEN 'Internal'

WHEN `tag` = 'Internal tag #2' THEN 'Internal'

WHEN `tag` = 'Internal tag #3' THEN 'Internal'

........etc

 

Else 'External'

END)

 

When you to it this way you could filter easily between internal and external (or show both). Let me know if you have any other questions or if you need help writing it provide me the column name and the 10 possible values you want to be able to filter out as internal and I'll write it up.



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Highlighted
Black Belt

Re: Do I need to use Beast Mode to filter data in this way?

I agree with @guitarhero23  that this can be handled by a beastmode, and the case statement he provided should do the job.  I also like the suggestion to use the quickfilter so you can choose to include or exclude the filter easily.

 

However, my suggestion would be to make this kind of field within the dataflow.  Beastmode calculations thrive when the calculation itself changes based on what other metadata you want to filter out, or at whiat level you are aggregating the data.  But, in my opinion, if you are engineering a field that will classify each line of code (in this case each "pitch" id) as either internal or external, then I would write that into the dataflow itself.  Especially if this classification is going to be looked at repeatedly.  

 

The advantage to engineering the field in a dataflow is that it then becomes easier to create other beastmodes with it.  For example, if you wanted to calculate the percentage of internal sales pitches you could simply use this if the field was constructed in the dataflow:

count(distinct case when `pitch type` = 'internal' then `pitch_id` end) / count(distinct `pitch_id`)

However, if you used a beastmode...

count(distinct
    case when 
        (CASE
        WHEN `tag` = 'Internal tag #1' THEN 'Internal'
        WHEN `tag` = 'Internal tag #2' THEN 'Internal'
        WHEN `tag` = 'Internal tag #3' THEN 'Internal'
        ........etc
        Else 'External'
        END) = 'Internal' then `pitch_id` end)
/
count(distinct `pitch_id`)
        

Plus, if you change one of your `tag`s then you would need to change the filter beastmode as well as any other calculations you used the beastmode in.  By applying the engineering for the classification field in the dataflow, you only need to change the dataflow if you decide to change how you are defining an internal pitch.


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Major Brown Belt

Re: Do I need to use Beast Mode to filter data in this way?

@DannyLewis Were you able to get this running as you wanted?



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