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Is there a way to summarize certain values within a field, but not all?

kthakk7
7 - Meteor

Hi,

 

New to Alteryx and just puzzling through for a while now...

 

I have our prior year hours for all of our clients and the scheduled hours for this year for all of our clients. The field I joined both of these files on is client #. I am summarizing/group by client # and then have a join and union set up, which is working fine. Problem is that I have 1 specific client that I do not want to summarize/group by. Is there a work around so all the data is summarized/grouped by client # except that 1 client?

3 REPLIES 3
MarqueeCrew
20 - Arcturus
20 - Arcturus

@kthakk7 ,

 

 I'd a new column, do I want to summarize (based on an in (list) and add that as a grouping field.  You'll get the total of all required and ignored hours.  You can filter away the ignored values. 

cheers,

 

 mark

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kthakk7
7 - Meteor

I'm not sure if I'm understanding. Do you mind rephrasing please?

I don't need to ignore any of the hours. I need summarization for all clients, except 1 client. In the end I need to join everything still.

 

The prior year file has 10-15 fields + the prior year hours listed by client

The scheduled year field has 3-4 fields + the scheduled year hours listed by client

I'm doing a join with both of these files based on client #. Once everything is joined, there are some blank client region and client office fields that exist in the scheduled year file. I have a formula that basically says if the client region/office is blank then pull the data in from the scheduled year file.

The problem is I have 1 specific client that has no client region or client office the way it's summarizing. I want to summarize all the clients except this 1 client so I can still see the client prior year and scheduled year hours, but a break out by a client location instead of region or office.

grazitti_sapna
17 - Castor

Hi @kthakk7,

 

You can filter out the 1 client before doing summarize.

 

If you can share the sample input and output data then that would be more helpful.

 

 

Sapna Gupta
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