I have two datasets and I have to join them but the challenge is one is vertical and another one is horizontal
Input:
Dataset 1:
| Number | samp | Fund | Type | Name | value | Selection type |
| 1 | ABC | M | Sell | 123 | Yes | |
| 1 | ABC | M | Buy | 1456 | Yes | |
| 2 | ABC | Buy | 0 | No | ||
| 2 | ABC | Buy | 0 | No | ||
| 2 | ABC | Sell | 0 | No | ||
| 3 | ABC | Sell | 0 | No | ||
| 3 | ABC | Call | 0 | No | ||
| 3 | ABC | Call | 0 | No | ||
| 3 | ABC | Call | 0 | No | ||
| 3 | ABC | Put | 0 | No | ||
| 3 | ABC | Put | 0 | No | ||
| 3 | ABC | Put | 0 | No |
Dataset 2:
| Fund | Sell | Buy | Call | Put |
| ABC | 123 | 1456 | 0 | 0 |
| ABC | 0 | 0 | 0 | 0 |
| ABC | 0 | 0 | 0 | 0 |
The rule is very simple I have to join based on fund, name, and value.
After that, I have to paste the value of the selection type in front
Output:
| Fund | Sell | Buy | Call | Put | Selection type sell | Selection type Buy | Selection type Call | Selection type Put |
| ABC | 123 | 1456 | 0 | 0 | Yes | Yes | No | No |
| ABC | 0 | 0 | 0 | 0 | No | No | No | No |
| ABC | 0 | 0 | 0 | 0 | No | No | No | No |
Solved! Go to Solution.
Hi @Sshasnk
By using transpose and cross tab tools, I have been able to join the 2 datasets together and summarise to the output view that you need.
The dynamic rename tool can also be really helpful when you need to add the same string to a number of field names
Hope this helps!

