Hi there,
I am looking for a solution that would help compare 2 data sets but the columns are not always the same.
Below is an example I just made up for possible data that I would need compared:
First data set:
Name | Title | 1 | 2 | 3 |
Dave | Designer | balloon | chips | bag |
John | Manager | bottle | cup | headphones |
Chris | Architect | shoes | tie | rabbit |
Second data set:
Name | Title | 1 | 2 | 3 |
Dave | Designer | chips | bag | |
Dennis | Manager | bottle | cup | headphones |
Chris | Architect | shoes | rabbit |
The issue is that there is no primary key to match the rows to and any element can change from before the numbered columns. Also if an element from the 1-2-3 section is removed it is shifted a column down.
Is there a way to know which rows are related to each other based on the remaining information left on each row?
Solved! Go to Solution.
Have a play with the Transpose tool. You don't need to specify a key / group of columns if you don't know it.
The Transpose will flip the data in a Name (column) - Value (the actual data) format, which may make it easy to compare in a dynamic way.
Hi @KevinMac I mocked up a workflow that should help in your comparison. Let me know what you think?