This site uses different types of cookies, including analytics and functional cookies (its own and from other sites). To change your cookie settings or find out more, click here. If you continue browsing our website, you accept these cookies.
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!