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I have two tables. They both have two columns. A category column and then a count for that category.
Example:
Table #1
Column 1 Column 2
Abuse 45
Table #2
Column 1 Column 2
Abuse 3
I want to join these two tables so that the category is summed.
In this example Abuse would be summed at 48.
Any non-matching rows would simply get their own row and count.
So in this example there is clearly two rows between the two tables with a category of Abuse.
However, maybe there’s a row category of ‘Antagonism’ that doesn’t have any other match. It gets its own row.
Jimbo
Solved! Go to Solution.
Try appending the two tables.
Go to Home - Edit Queries - Append Queries - Append Queries as New.
If you add the Colum 1 and Column 2 to a Table visual, it should display the summarised values.
If you need to create a data table of the summarised values, you can use the SUMMARIZE() DAX function.
If this solves your problem please mark as teh solution.
Try appending the two tables.
Go to Home - Edit Queries - Append Queries - Append Queries as New.
If you add the Colum 1 and Column 2 to a Table visual, it should display the summarised values.
If you need to create a data table of the summarised values, you can use the SUMMARIZE() DAX function.
If this solves your problem please mark as teh solution.
I will try this.
However, I've never used the SUMARIZE DAX function...
That part will probaby not go well lol.
Jimbo
I would do the following :
Nope - abuse is still 45...needs to be 48 in order for me to know the operation worked...
Should not be. Do you still see 2 Abuse after grouping the data?
So I was able to upload an image...
Clearly looking at the image Abuse shoudl have 48 as the total...
Jimbo
Please make sure that the total number of columns are the same and have same names and Datatypes. As the 2nd column in the 1st table is a alphabet and not a number, the append did not take place. Also when you append the data correctly, the total number of columns remains 2
I wish I could post an image...
If I do a basic append of the tables I get 4 total columns...
Table 1 + Table 2
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