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aleuer
Frequent Visitor

duplicate entries after table query merge

Hello!

 

I'm looking for a bit of help here. I'm newer to data merging and I'm running into a particular problem!  I'm importing the data from Excel (2 tables) and there was no unique identifier with no duplicates between them, so I created a join column so that they could be merged through a left outer. It worked! BUT- in each table there is a column for 'score'. Table 2 has multiple entries for errors (line items) related to a single data point in Table 1. So, the issue is post-merge is that the score is pulled in and counted for each error or line item where I only need 1 instance of the score so that I can average the values correctly. 

I have an example here.

 

The left visual shows an un-merged dataset and therefore what the actual average of score should be. The one on the right shows what I am dealing with post-merge. I've included COUNT of the score to show the issue. The data has to be sorted by Language, 

Any help is greatly appreciated!!

image.png

3 REPLIES 3
v-yuezhe-msft
Employee
Employee

@aleuer,

What is the join column? Could you please share the Excel file so that we can test? You can share Excel file via online service such as OneDrive.

Regards,
Lydia

Community Support Team _ Lydia Zhang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

 

Hi Lydia, 

 

I've copied the truncated data here : https://sajan.box.com/shared/static/2rfhrkpm8ezmcsg4hfijadyky9yh1peg.xlsx

 

The troublesome columns are: 

Table 1:

Join = BA

Score = C

 

Table 2:

Join 2= L

Score = D

 

i've tried simply deleting the score column from table 2, but when the merge is complete it still duplicates for each line item listed from the JOIN. 

Thanks so much!

Amanda

@aleuer,

I am unable to download your file as it is removed. Could you please re-upload it?

Regards,
Lydia

Community Support Team _ Lydia Zhang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

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