hi everyone! i am trying to see if this is possible. can a union come after a join without the nulls? this is what i am trying to accomplish:
dataset1:
Product ID | name | price |
1001 | table | $ 100.00 |
1002 | sofa | $ 250.00 |
1003 | chair | $ 40.00 |
1004 | loveseat | $ 150.00 |
1005 | bed | $ 300.00 |
1006 | mattress | $ 100.00 |
dataset2:
Product ID | Date Sold |
1001 | 10/31/2021 |
1004 | 11/3/2021 |
1006 | 11/1/2021 |
dataset3:
name | shipping |
table | california |
sofa | oklahoma |
chair | texas |
loveseat | california |
bed | texas |
mattress | texas |
desired output:
Product ID | name | price | Date Sold | shipping |
1001 | table | $100 | 10/31/2021 | california |
1002 | sofa | $250 | oklahoma | |
1003 | chair | $40 | texas | |
1004 | loveseat | $150 | 11/3/2021 | california |
1005 | bed | $300 | texas | |
1006 | mattress | $100 | 11/1/2021 | texas |
sample workflow:
Solved! Go to Solution.
Hello @utsarunner981 ,
Could you please explain with a result window what you are trying to accomplish? You are showing us 3 different dates for 3 product ID, what would be the expected value to be seen for the rest of the cells?
Regards
Hello @afv2688,
Yes, so I have 3 datasets-first two are joined by their ProductID- the third is unioned by name. The last dataset is the desired output and the expected value for blank cells can stay as is.
Hello @utsarunner981 ,
If you union the third dataset directly you won't have the data joined together.
Maybe what you are looking for is to do 2 different joins on this specific case
Regards
@afv2688 yes! this solution worked! thank you!
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