Hi All,
I am currently facing an issue where I have three files to be consolidated.
The combination of the columns I am looking for is:
Client Region Project ID Project
Now the three files have these common ID's.
However, data Set 1 has :
Client | Region | Project ID | Project |
A | IMEA | 101 | Apple |
A | IMEA | 102 | Apple |
A | Europe | 101 | Apple |
B | IMEA | 201 | Orange |
B | IMEA | 202 | Orange |
B | Europe | 201 | Orange |
Dats Set 2:
Client | Region | Project ID | Project |
A | IMEA | 101 | Apple |
A | IMEA | 101 | Apple |
A | IMEA | 102 | Apple |
A | IMEA | 102 | Apple |
A | Europe | 101 | Aple |
B | IMEA | 201 | Orange |
B | IMEA | 202 | Orange |
B | Europe | 201 | Orange |
B | Europe | 201 | Orange |
C | US | 300 | Kiwi |
Whereas Client -C is not a part of Data Set 1&3
Data Set 3:
Client | Region | Project ID | Project |
A | IMEA | 101 | Apple |
A | IMEA | 102 | Apple |
A | Europe | 101 | Apple |
B | IMEA | 201 | Orange |
D | Australia | 401 | Jackfruit |
E | China | 502 | Pineapple |
Where as E is not there in Data set 1 & 2.
But my result should contain all the data with their measure as attached in the excel file.
Thanks in advance for you help.
Regards,
Farhana
Solved! Go to Solution.
The Join and Union tools are your friend for this kind of design.
I've attached a workflow that I think covers all your requirements. Note that I made some assumptions about Data Set 2, and I also have 9 results instead of 8 (your example output did not have a "D" line). I also fixed a typo in Data Set 2 as it was throwing off my results.
Hope this helps!